WorldWideScience

Sample records for biology genetic analysis

  1. Analysis of the Threat of Genetically Modified Organisms for Biological Warfare

    Science.gov (United States)

    2011-05-01

    biological warfare. The primary focus of the framework are those aspects of the technology directly affecting humans by inducing virulent infectious disease...applications. Simple organisms such as fruit flies have been used to study the effects of genetic changes across generations. Transgenic mice are...Analysis * Multi-cell pathogens * Toxins (Chemical products of living cells.) * Fungi (Robust organism; no genetic manipulation needed

  2. Genetics and developmental biology

    International Nuclear Information System (INIS)

    Barnett, W.E.

    1975-01-01

    Progress is reported on research activities in the fields of mutagenesis in Haemophilus influenzae and Escherichia coli; radioinduced chromosomal aberrations in mammalian germ cells; effects of uv radiation on xeroderma pigmentosum skin cells; mutations in Chinese hamster ovary cells; radioinduced hemoglobin variants in the mouse; analysis of mutants in yeast; Drosophila genetics; biochemical genetics of Neurospora; DNA polymerase activity in Xenopus laevis oocytes; uv-induced damage in Bacillus subtilis; and others

  3. Pathways to smoking behaviours : biological insights from the Tobacco and Genetics Consortium meta-analysis

    NARCIS (Netherlands)

    Minicã, C C; Mbarek, H; Pool, R; Dolan, C V; Boomsma, D I; Vink, J M

    By running gene and pathway analyses for several smoking behaviours in the Tobacco and Genetics Consortium (TAG) sample of 74 053 individuals, 21 genes and several chains of biological pathways were implicated. Analyses were carried out using the HYbrid Set-based Test (HYST) as implemented in the

  4. Genetics in Relation to Biology.

    Science.gov (United States)

    Stewart, J. Bird

    1987-01-01

    Claims that most instruction dealing with genetics is limited to sex education and personal hygiene. Suggests that the biology curriculum should begin to deal with other issues related to genetics, including genetic normality, prenatal diagnoses, race, and intelligence. Predicts these topics will begin to appear in British examination programs.…

  5. Biology, Genetics, and Environment

    Science.gov (United States)

    Wall, Tamara L.; Luczak, Susan E.; Hiller-Sturmhöfel, Susanne

    2016-01-01

    Gene variants encoding several of the alcohol-metabolizing enzymes, alcohol dehydrogenase (ADH) and aldehyde dehydrogenase (ALDH), are among the largest genetic associations with risk for alcohol dependence. Certain genetic variants (i.e., alleles)—particularly the ADH1B*2, ADH1B*3, ADH1C*1, and ALDH2*2 alleles—have been associated with lower rates of alcohol dependence. These alleles may lead to an accumulation of acetaldehyde during alcohol metabolism, which can result in heightened subjective and objective effects. The prevalence of these alleles differs among ethnic groups; ADH1B*2 is found frequently in northeast Asians and occasionally Caucasians, ADH1B*3 is found predominantly in people of African ancestry, ADH1C*1 varies substantially across populations, and ALDH2*2 is found almost exclusively in northeast Asians. Differences in the prevalence of these alleles may account at least in part for ethnic differences in alcohol consumption and alcohol use disorder (AUD). However, these alleles do not act in isolation to influence the risk of AUD. For example, the gene effects of ALDH2*2 and ADH1B*2 seem to interact. Moreover, other factors have been found to influence the extent to which these alleles affect a person’s alcohol involvement, including developmental stage, individual characteristics (e.g., ethnicity, antisocial behavior, and behavioral undercontrol), and environmental factors (e.g., culture, religion, family environment, and childhood adversity). PMID:27163368

  6. Isolation and genetic analysis of pure cells from forensic biological mixtures: The precision of a digital approach.

    Science.gov (United States)

    Fontana, F; Rapone, C; Bregola, G; Aversa, R; de Meo, A; Signorini, G; Sergio, M; Ferrarini, A; Lanzellotto, R; Medoro, G; Giorgini, G; Manaresi, N; Berti, A

    2017-07-01

    Latest genotyping technologies allow to achieve a reliable genetic profile for the offender identification even from extremely minute biological evidence. The ultimate challenge occurs when genetic profiles need to be retrieved from a mixture, which is composed of biological material from two or more individuals. In this case, DNA profiling will often result in a complex genetic profile, which is then subject matter for statistical analysis. In principle, when more individuals contribute to a mixture with different biological fluids, their single genetic profiles can be obtained by separating the distinct cell types (e.g. epithelial cells, blood cells, sperm), prior to genotyping. Different approaches have been investigated for this purpose, such as fluorescent-activated cell sorting (FACS) or laser capture microdissection (LCM), but currently none of these methods can guarantee the complete separation of different type of cells present in a mixture. In other fields of application, such as oncology, DEPArray™ technology, an image-based, microfluidic digital sorter, has been widely proven to enable the separation of pure cells, with single-cell precision. This study investigates the applicability of DEPArray™ technology to forensic samples analysis, focusing on the resolution of the forensic mixture problem. For the first time, we report here the development of an application-specific DEPArray™ workflow enabling the detection and recovery of pure homogeneous cell pools from simulated blood/saliva and semen/saliva mixtures, providing full genetic match with genetic profiles of corresponding donors. In addition, we assess the performance of standard forensic methods for DNA quantitation and genotyping on low-count, DEPArray™-isolated cells, showing that pure, almost complete profiles can be obtained from as few as ten haploid cells. Finally, we explore the applicability in real casework samples, demonstrating that the described approach provides complete

  7. Genetic analysis

    NARCIS (Netherlands)

    Koornneef, M.; Alonso-Blanco, C.; Stam, P.

    2006-01-01

    The Mendelian analysis of genetic variation, available as induced mutants or as natural variation, requires a number of steps that are described in this chapter. These include the determination of the number of genes involved in the observed trait's variation, the determination of dominance

  8. Genetics and developmental biology of cooperation

    Czech Academy of Sciences Publication Activity Database

    Kasper, C.; Vierbuchen, M.; Ernst, Ulrich R.; Fischer, S.; Radersma, R.; Raulo, A.; Cunha-Saraiva, F.; Wu, M.; Mobley, K. B.; Taborsky, B.

    2017-01-01

    Roč. 26, č. 17 (2017), s. 4364-4377 ISSN 0962-1083 Institutional support: RVO:61388963 Keywords : altruism * behaviour * indirect genetic effects * social behaviour * social effects Subject RIV: EB - Genetics ; Molecular Biology OBOR OECD: Genetics and heredity (medical genetics to be 3) Impact factor: 6.086, year: 2016

  9. Biological evolution: Some genetic considerations

    OpenAIRE

    Salem, Mohammad Saad Zaghloul

    2014-01-01

    Background: The concept of biological evolution has long been accepted as a palatable theory aiming at explaining how life began and how creatures diverged so widely along the life span of the earth. Meticulous analysis and criticism of the different postulations of this concept, however, reveals that evolution is an illogic concept based on theoretical hypotheses that can never be tested. Creation, on the other hand, represents the other side of the coin, and up till now debates confronting ...

  10. Comparative analysis of the domestic cat genome reveals genetic signatures underlying feline biology and domestication

    Science.gov (United States)

    Li, Gang; Gandolfi, Barbara; Khan, Razib; Aken, Bronwen L.; Searle, Steven M. J.; Minx, Patrick; Hillier, LaDeana W.; Koboldt, Daniel C.; Davis, Brian W.; Driscoll, Carlos A.; Barr, Christina S.; Blackistone, Kevin; Quilez, Javier; Lorente-Galdos, Belen; Marques-Bonet, Tomas; Alkan, Can; Thomas, Gregg W. C.; Hahn, Matthew W.; Menotti-Raymond, Marilyn; O’Brien, Stephen J.; Wilson, Richard K.; Lyons, Leslie A.; Murphy, William J.; Warren, Wesley C.

    2014-01-01

    Little is known about the genetic changes that distinguish domestic cat populations from their wild progenitors. Here we describe a high-quality domestic cat reference genome assembly and comparative inferences made with other cat breeds, wildcats, and other mammals. Based upon these comparisons, we identified positively selected genes enriched for genes involved in lipid metabolism that underpin adaptations to a hypercarnivorous diet. We also found positive selection signals within genes underlying sensory processes, especially those affecting vision and hearing in the carnivore lineage. We observed an evolutionary tradeoff between functional olfactory and vomeronasal receptor gene repertoires in the cat and dog genomes, with an expansion of the feline chemosensory system for detecting pheromones at the expense of odorant detection. Genomic regions harboring signatures of natural selection that distinguish domestic cats from their wild congeners are enriched in neural crest-related genes associated with behavior and reward in mouse models, as predicted by the domestication syndrome hypothesis. Our description of a previously unidentified allele for the gloving pigmentation pattern found in the Birman breed supports the hypothesis that cat breeds experienced strong selection on specific mutations drawn from random bred populations. Collectively, these findings provide insight into how the process of domestication altered the ancestral wildcat genome and build a resource for future disease mapping and phylogenomic studies across all members of the Felidae. PMID:25385592

  11. Comparative analysis of the domestic cat genome reveals genetic signatures underlying feline biology and domestication.

    Science.gov (United States)

    Montague, Michael J; Li, Gang; Gandolfi, Barbara; Khan, Razib; Aken, Bronwen L; Searle, Steven M J; Minx, Patrick; Hillier, LaDeana W; Koboldt, Daniel C; Davis, Brian W; Driscoll, Carlos A; Barr, Christina S; Blackistone, Kevin; Quilez, Javier; Lorente-Galdos, Belen; Marques-Bonet, Tomas; Alkan, Can; Thomas, Gregg W C; Hahn, Matthew W; Menotti-Raymond, Marilyn; O'Brien, Stephen J; Wilson, Richard K; Lyons, Leslie A; Murphy, William J; Warren, Wesley C

    2014-12-02

    Little is known about the genetic changes that distinguish domestic cat populations from their wild progenitors. Here we describe a high-quality domestic cat reference genome assembly and comparative inferences made with other cat breeds, wildcats, and other mammals. Based upon these comparisons, we identified positively selected genes enriched for genes involved in lipid metabolism that underpin adaptations to a hypercarnivorous diet. We also found positive selection signals within genes underlying sensory processes, especially those affecting vision and hearing in the carnivore lineage. We observed an evolutionary tradeoff between functional olfactory and vomeronasal receptor gene repertoires in the cat and dog genomes, with an expansion of the feline chemosensory system for detecting pheromones at the expense of odorant detection. Genomic regions harboring signatures of natural selection that distinguish domestic cats from their wild congeners are enriched in neural crest-related genes associated with behavior and reward in mouse models, as predicted by the domestication syndrome hypothesis. Our description of a previously unidentified allele for the gloving pigmentation pattern found in the Birman breed supports the hypothesis that cat breeds experienced strong selection on specific mutations drawn from random bred populations. Collectively, these findings provide insight into how the process of domestication altered the ancestral wildcat genome and build a resource for future disease mapping and phylogenomic studies across all members of the Felidae.

  12. Genetics and molecular biology of breast cancer

    Energy Technology Data Exchange (ETDEWEB)

    King, M.C. [California Univ., Berkeley, CA (United States); Lippman, M. [Georgetown Univ. Medical Center, Washington, DC (United States)] [comps.

    1992-12-31

    This volume contains the abstracts of oral presentations and poster sessions presented at the Cold Springs Harbor Meeting on Cancer Cells, this meeting entitled Genetics and Molecular Biology of Breast Cancer.

  13. Multivariate analysis and determination of the best indirect selection criteria to genetic improvement the biological nitrogen fixation ability in common bean genotypes (Phaseolus vulgaris L.

    Directory of Open Access Journals (Sweden)

    Golparvar Reza Ahmad

    2012-01-01

    Full Text Available In order to determine the best indirect selection criteria for genetic improvement of biological nitrogen fixation, sixty four common bean genotypes were cultivated in two randomized complete block design. Genotypes were inoculated with bacteria Rhizobium legominosarum biovar Phaseoli isolate L-109 only in one of the experiments. The second experiment was considered as check for the first. Correlation analysis showed positive and highly significant correlation of majority of the traits with percent of nitrogen fixation. Step-wise regression designated that traits percent of total nitrogen of shoot, number of nodule per plant and biological yield accounted for 92.3 percent of variation exist in percent of nitrogen fixation. Path analysis indicated that these traits have direct and positive effect on percent of nitrogen fixation. Hence, these traits are promising indirect selection criteria for genetic improvement of nitrogen fixation capability in common bean genotypes especially in early generations.

  14. Biological evolution: Some genetic considerations

    African Journals Online (AJOL)

    Mohammad Saad Zaghloul Salem

    2013-12-08

    Dec 8, 2013 ... cept of evolution, viz. genetic memory and evolutionary variations, genomic adaptations to stress .... or codons, along the transcript without giving attention to whether they are ... They do not affect the genome in a straightfor-.

  15. Yeast genetics and molecular biology

    International Nuclear Information System (INIS)

    Anon.

    1989-01-01

    This book covers subjects and the following titles: cell biology; RNA processing and translation; organelle biogenesis; cell division cycle; mating physiology; recombination and repair; retro-transposition; and metabolic regulating mechanisms

  16. Biological evolution: Some genetic considerations

    Directory of Open Access Journals (Sweden)

    Mohammad Saad Zaghloul Salem

    2014-01-01

    Conclusion: Natural selection might be observed in nature but not in life. The concept of biological evolution is an illogic and insensible hypothesis since it stands in direct contradiction with our current knowledge regarding the behavior as well as the structural and functional characteristics of the human genome and human proteome. Additionally, almost all basic postulations of this concept can neither be tested nor imitated for experimentation, which is a prerequisite for acceptance and validation of any scientific hypotheses.

  17. Dissecting Biological Dark Matter: Single Cell Genetic Analysis of TM7, a Rare and Uncultivated Microbe from the Human Mouth

    Energy Technology Data Exchange (ETDEWEB)

    Fenner, Marsha W; Marcy, Yann; Ouverney, Cleber; Bik, Elisabeth M.; Losekann, Tina; Ivanova, Natalia; Martin, H. Garcia; Szeto, E.; Platt, Darren; Hugenholtz, Philip; Relman, David A.; Quake, Stephen R.

    2007-07-01

    We have developed a microfluidic device that allows the isolation and genome amplification of individual microbial cells, thereby enabling organism-level genomic analysis of complex microbial ecosystems without the need for culture. This device was used to perform a directed survey of the human subgingival crevice and to isolate bacteria having rod-like morphology. Several isolated microbes had a 16S rRNA sequence that placed them in candidate phylum TM7, which has no cultivated or sequenced members. Genome amplification from individual TM7 cells allowed us to sequence and assemble >1,000 genes, providing insight into the physiology of members of this phylum. This approach enables single-cell genetic analysis of any uncultivated minority member of a microbial community.

  18. Genetic Discrimination: A Legal Or Biological Issue?

    OpenAIRE

    Myssior, Bárbara Augusta de Paula Araujo; Silva, Luís Eduardo Gomes

    2016-01-01

    This essay debates the technological evolution that, from the decoding of the human genome has opened up many scientific benefits, and yet brings up a new kind of segregation: genetic discrimination. Based on the right to privacy, as well as the concept of genetic identity, as well as data protection and information, worked up the genetic discrimination. Therefore, documentary research and critical analysis of scientific papers were taken, using up of the inductive reasoning method. As a resu...

  19. Microsatellite data analysis for population genetics

    Science.gov (United States)

    Theories and analytical tools of population genetics have been widely applied for addressing various questions in the fields of ecological genetics, conservation biology, and any context where the role of dispersal or gene flow is important. Underlying much of population genetics is the analysis of ...

  20. [Synthetic biology and rearrangements of microbial genetic material].

    Science.gov (United States)

    Liang, Quan-Feng; Wang, Qian; Qi, Qing-Sheng

    2011-10-01

    As an emerging discipline, synthetic biology has shown great scientific values and application prospects. Although there have been many reviews of various aspects on synthetic biology over the last years, this article, for the first time, attempted to discuss the relationship and difference between microbial genetics and synthetic biology. We summarized the recent development of synthetic biology in rearranging microbial genetic materials, including synthesis, design and reduction of genetic materials, standardization of genetic parts and modularization of genetic circuits. The relationship between synthetic biology and microbial genetic engineering was also discussed in the paper.

  1. Genetic Discrimination: A Legal Or Biological Issue?

    Directory of Open Access Journals (Sweden)

    Bárbara Augusta de Paula Araujo Myssior

    2016-12-01

    Full Text Available This essay debates the technological evolution that, from the decoding of the human genome has opened up many scientific benefits, and yet brings up a new kind of segregation: genetic discrimination. Based on the right to privacy, as well as the concept of genetic identity, as well as data protection and information, worked up the genetic discrimination. Therefore, documentary research and critical analysis of scientific papers were taken, using up of the inductive reasoning method. As a result, elucidate how such discrimination affects individuals, it is possible to conclude that regardless of the type of discrimination, all should be restrained by law.

  2. Dangers resulting from DNA profiling of biological materials derived from patients after allogeneic hematopoietic stem cell transplantation (allo-HSCT with regard to forensic genetic analysis

    Directory of Open Access Journals (Sweden)

    Renata Jacewicz

    2016-07-01

    Full Text Available The study documents the risk that comes with DNA analysis of materials derived from patients after allogeneic hematopoietic stem cell transplantation (allo-HSCT in forensic genetics. DNA chimerism was studied in 30 patients after allo-HSCT, based on techniques applied in contemporary forensic genetics, i.e. real-time PCR and multiplex PCR-STR with the use of autosomal DNA as well as Y-DNA markers. The results revealed that the DNA profile of the recipient’s blood was identical with the donor’s in the majority of cases. Therefore, blood analysis can lead to false conclusions in personal identification as well as kinship analysis. An investigation of buccal swabs revealed a mixture of DNA in the majority of recipients. Consequently, personal identification on the basis of stain analysis of the same origin may be impossible. The safest (but not ideal material turned out to be the hair root. Its analysis based on autosomal DNA revealed 100% of the recipient’s profile. However, an analysis based on Y-chromosome markers performed in female allo-HSCT recipients with male donors demonstrated the presence of donor DNA in hair cells – similarly to the blood and buccal swabs. In the light of potential risks arising from DNA profiling of biological materials derived from persons after allotransplantation in judicial aspects, certain procedures were proposed to eliminate such dangers. The basic procedures include abandoning the approach based exclusively on blood collection, both for kinship analysis and personal identification; asking persons who are to be tested about their history of allo-HSCT before sample collection and profile entry in the DNA database, and verification of DNA profiling based on hair follicles in uncertain cases.

  3. Genetics and molecular biology of hypotension

    Science.gov (United States)

    Robertson, D.

    1994-01-01

    Major strides in the molecular biology of essential hypertension are currently underway. This has tended to obscure the fact that a number of inherited disorders associated with low blood pressure exist and that these diseases may have milder and underrecognized phenotypes that contribute importantly to blood pressure variation in the general population. This review highlights some of the gene products that, if abnormal, could cause hypotension in some individuals. Diseases due to abnormalities in the catecholamine enzymes are discussed in detail. It is likely that genetic abnormalities with hypotensive phenotypes will be as interesting and diverse as those that give rise to hypertensive disorders.

  4. Integrated genetic analysis microsystems

    International Nuclear Information System (INIS)

    Lagally, Eric T; Mathies, Richard A

    2004-01-01

    With the completion of the Human Genome Project and the ongoing DNA sequencing of the genomes of other animals, bacteria, plants and others, a wealth of new information about the genetic composition of organisms has become available. However, as the demand for sequence information grows, so does the workload required both to generate this sequence and to use it for targeted genetic analysis. Microfabricated genetic analysis systems are well poised to assist in the collection and use of these data through increased analysis speed, lower analysis cost and higher parallelism leading to increased assay throughput. In addition, such integrated microsystems may point the way to targeted genetic experiments on single cells and in other areas that are otherwise very difficult. Concomitant with these advantages, such systems, when fully integrated, should be capable of forming portable systems for high-speed in situ analyses, enabling a new standard in disciplines such as clinical chemistry, forensics, biowarfare detection and epidemiology. This review will discuss the various technologies available for genetic analysis on the microscale, and efforts to integrate them to form fully functional robust analysis devices. (topical review)

  5. Review: domestic animal forensic genetics - biological evidence, genetic markers, analytical approaches and challenges.

    Science.gov (United States)

    Kanthaswamy, S

    2015-10-01

    This review highlights the importance of domestic animal genetic evidence sources, genetic testing, markers and analytical approaches as well as the challenges this field is facing in view of the de facto 'gold standard' human DNA identification. Because of the genetic similarity between humans and domestic animals, genetic analysis of domestic animal hair, saliva, urine, blood and other biological material has generated vital investigative leads that have been admitted into a variety of court proceedings, including criminal and civil litigation. Information on validated short tandem repeat, single nucleotide polymorphism and mitochondrial DNA markers and public access to genetic databases for forensic DNA analysis is becoming readily available. Although the fundamental aspects of animal forensic genetic testing may be reliable and acceptable, animal forensic testing still lacks the standardized testing protocols that human genetic profiling requires, probably because of the absence of monetary support from government agencies and the difficulty in promoting cooperation among competing laboratories. Moreover, there is a lack in consensus about how to best present the results and expert opinion to comply with court standards and bear judicial scrutiny. This has been the single most persistent challenge ever since the earliest use of domestic animal forensic genetic testing in a criminal case in the mid-1990s. Crime laboratory accreditation ensures that genetic test results have the courts' confidence. Because accreditation requires significant commitments of effort, time and resources, the vast majority of animal forensic genetic laboratories are not accredited nor are their analysts certified forensic examiners. The relevance of domestic animal forensic genetics in the criminal justice system is undeniable. However, further improvements are needed in a wide range of supporting resources, including standardized quality assurance and control protocols for sample

  6. Development Genetic Analysis of General Cognitive Ability from 1 to 12 Years in a Sample of Adoptees, Biological Siblings, and Twins.

    Science.gov (United States)

    Bishop, E. G.; Cherny, Stacey S.; Corley, Robin; Plomin, Robert; DeFries, John C.; Hewitt, John K.

    2003-01-01

    Studied continuity and change in general cognitive ability from infancy to adolescence in adoptees (107 children), biological siblings (87 pairs), and twins (224 monozygotic and 189 dyzygotic pairs). Findings generally support previous findings about genetic and environmental factors, with the exception that in the transition to adolescence,…

  7. Logical analysis of biological systems

    DEFF Research Database (Denmark)

    Mardare, Radu Iulian

    2005-01-01

    R. Mardare, Logical analysis of biological systems. Fundamenta Informaticae, N 64:271-285, 2005.......R. Mardare, Logical analysis of biological systems. Fundamenta Informaticae, N 64:271-285, 2005....

  8. Applications of landscape genetics in conservation biology: concepts and challenges

    Science.gov (United States)

    Gernot Segelbacher; Samuel A. Cushman; Bryan K. Epperson; Marie-Josee Fortin; Olivier Francois; Olivier J. Hardy; Rolf Holderegger; Stephanie Manel

    2010-01-01

    Landscape genetics plays an increasingly important role in the management and conservation of species. Here, we highlight some of the opportunities and challenges in using landscape genetic approaches in conservation biology. We first discuss challenges related to sampling design and introduce several recent methodological developments in landscape genetics (analyses...

  9. Successful biological invasion despite a severe genetic load.

    Directory of Open Access Journals (Sweden)

    Amro Zayed

    2007-09-01

    Full Text Available Understanding the factors that influence the success of ecologically and economically damaging biological invasions is of prime importance. Recent studies have shown that invasive populations typically exhibit minimal, if any, reductions in genetic diversity, suggesting that large founding populations and/or multiple introductions are required for the success of biological invasions, consistent with predictions of the propagule pressure hypothesis. Through population genetic analysis of neutral microsatellite markers and a gene experiencing balancing selection, we demonstrate that the solitary bee Lasioglossum leucozonium experienced a single and severe bottleneck during its introduction from Europe. Paradoxically, the success of L. leucozonium in its introduced range occurred despite the severe genetic load caused by single-locus complementary sex-determination that still turns 30% of female-destined eggs into sterile diploid males, thereby substantially limiting the growth potential of the introduced population. Using stochastic modeling, we show that L. leucozonium invaded North America through the introduction of a very small number of propagules, most likely a singly-mated female. Our results suggest that chance events and ecological traits of invaders are more important than propagule pressure in determining invasion success, and that the vigilance required to prevent invasions may be considerably greater than has been previously considered.

  10. Genome Analysis of the First Extensively Drug-Resistant (XDR Mycobacterium tuberculosis in Malaysia Provides Insights into the Genetic Basis of Its Biology and Drug Resistance.

    Directory of Open Access Journals (Sweden)

    Chee Sian Kuan

    Full Text Available The outbreak of extensively drug-resistant tuberculosis (XDR-TB has become an increasing problem in many TB-burdened countries. The underlying drug resistance mechanisms, including the genetic variation favored by selective pressure in the resistant population, are partially understood. Recently, the first case of XDR-TB was reported in Malaysia. However, the detailed genotype family and mechanisms of the formation of multiple drugs resistance are unknown. We sequenced the whole genome of the UM 1072388579 strain with a 2-kb insert-size library and combined with that from previously sequenced 500-bp-insert paired-end reads to produce an improved sequence with maximal sequencing coverage across the genome. In silico spoligotyping and phylogenetic analyses demonstrated that UM 1072388579 strain belongs to an ancestral-like, non-Beijing clade of East Asia lineage. This is supported by the presence of a number of lineage-specific markers, including fadD28, embA, nuoD and pks7. Polymorphism analysis showed that the drug-susceptibility profile is correlated with the pattern of resistance mutations. Mutations in drug-efflux pumps and the cell wall biogenesis pathway such as mmpL, pks and fadD genes may play an important role in survival and adaptation of this strain to its surrounding environment. In this work, fifty-seven putative promoter SNPs were identified. Among them, we identified a novel SNP located at -4 T allele of TetR/acrR promoter as an informative marker to recognize strains of East Asian lineage. Our work indicates that the UM 1072388579 harbors both classical and uncommon SNPs that allow it to escape from inhibition by many antibiotics. This study provides a strong foundation to dissect the biology and underlying resistance mechanisms of the first reported XDR M. tuberculosis in Malaysia.

  11. Cyclic Concatenated Genetic Encoder: A mathematical proposal for biological inferences.

    Science.gov (United States)

    Duarte-González, M E; Echeverri, O Y; Guevara, J M; Palazzo, R

    2018-01-01

    The organization of the genetic information and its ability to be conserved and translated to proteins with low error rates have been the subject of study by scientists from different disciplines. Recently, it has been proposed that living organisms display an intra-cellular transmission system of genetic information, similar to a model of digital communication system, in which there is the ability to detect and correct errors. In this work, the concept of Concatenated Genetic Encoder is introduced and applied to the analysis of protein sequences as a tool for exploring evolutionary relationships. For such purposes Error Correcting Codes (ECCs) are used to represent proteins. A methodology for representing or identifying proteins by use of BCH codes over ℤ 20 and F 4 ×ℤ 5 is proposed and cytochrome b6-f complex subunit 6-OS sequences, corresponding to different plants species, are analyzed according to the proposed methodology and results are contrasted to phylogenetic and taxonomic analyses. Through the analyses, it was observed that using BCH codes only some sequences are identified, all of which differ in one amino acid from the original sequence. In addition, mathematical relationships among identified sequences are established by considering minimal polynomials, where such sequences showed a close relationship as revealed in the phylogenetic reconstruction. Results, here shown, point out that communication theory may provide biology of interesting and useful tools to identify biological relationships among proteins, however the proposed methodology needs to be improved and rigorously tested in order to become into an applicable tool for biological analysis. Copyright © 2017 Elsevier B.V. All rights reserved.

  12. COMPUTER METHODS OF GENETIC ANALYSIS.

    Directory of Open Access Journals (Sweden)

    A. L. Osipov

    2017-02-01

    Full Text Available The basic statistical methods used in conducting the genetic analysis of human traits. We studied by segregation analysis, linkage analysis and allelic associations. Developed software for the implementation of these methods support.

  13. Genetic Diseases and Genetic Determinism Models in French Secondary School Biology Textbooks

    Science.gov (United States)

    Castera, Jeremy; Bruguiere, Catherine; Clement, Pierre

    2008-01-01

    The presentation of genetic diseases in French secondary school biology textbooks is analysed to determine the major conceptions taught in the field of human genetics. References to genetic diseases, and the processes by which they are explained (monogeny, polygeny, chromosomal anomaly and environmental influence) are studied in recent French…

  14. My Dog's Cheeks: A PBL Project on Collagen for Cell Biology and Genetics Courses

    Science.gov (United States)

    Casla, Alberto Vicario; Zubiaga, Isabel Smith

    2010-01-01

    Students often have an oversimplified view of biological facts, which may hinder subsequent understanding when conceptual complexity gives rise to cognitive conflicts. To avoid this situation here, we present a PBL approach for the analysis of Ehlers-Danlos syndrome (EDS), which integrates a variety of topics in cell biology, genetics, and…

  15. Review: Biological imprinting: Some genetic considerations | Saad ...

    African Journals Online (AJOL)

    ... as for interpretation of possible mechanisms implicated in its occurrence. Keywords: Genetic imprinting; Mutations; Re-sense mutation; Epigenetic alterations; DNA methylation/demethylation; Parthenogenesis; Position-effect variegation; Post-fertilization genomic imprinting; microRNA; Chromatin modifications; Pyknons ...

  16. Biological evolution: Some genetic considerations | Salem ...

    African Journals Online (AJOL)

    Conclusion: Natural selection might be observed in nature but not in life. The concept of biological evolution is an illogic and insensible hypothesis since it stands in direct contradiction with our current knowledge regarding the behavior as well as the structural and functional characteristics of the human genome and human ...

  17. Static Analysis for Systems Biology

    DEFF Research Database (Denmark)

    Nielson, Flemming; Nielson, Hanne Riis; Rosa, D. Schuch da

    2004-01-01

    This paper shows how static analysis techniques can help understanding biological systems. Based on a simple example we illustrate the outcome of performing three different analyses extracting information of increasing precision. We conclude by reporting on the potential impact and exploitation o...... of these techniques in systems biology....

  18. Modular analysis of biological networks.

    Science.gov (United States)

    Kaltenbach, Hans-Michael; Stelling, Jörg

    2012-01-01

    The analysis of complex biological networks has traditionally relied on decomposition into smaller, semi-autonomous units such as individual signaling pathways. With the increased scope of systems biology (models), rational approaches to modularization have become an important topic. With increasing acceptance of de facto modularity in biology, widely different definitions of what constitutes a module have sparked controversies. Here, we therefore review prominent classes of modular approaches based on formal network representations. Despite some promising research directions, several important theoretical challenges remain open on the way to formal, function-centered modular decompositions for dynamic biological networks.

  19. Biological sequence analysis

    DEFF Research Database (Denmark)

    Durbin, Richard; Eddy, Sean; Krogh, Anders Stærmose

    This book provides an up-to-date and tutorial-level overview of sequence analysis methods, with particular emphasis on probabilistic modelling. Discussed methods include pairwise alignment, hidden Markov models, multiple alignment, profile searches, RNA secondary structure analysis, and phylogene...

  20. [Agressive fibromatosis: genetic and biological correlations].

    Science.gov (United States)

    Hlavatá, Z; Porsok, S

    2012-01-01

    Aggressive fibromatosis, also known as desmoid tumor, is specific and relatively rarely occuring disease. It belongs to heterogenous group of soft tissue tumors. Originally, it arises from fibroblasts with monoclonal proliferation derived from fibro-aponeurotic tissue with typical local invasive spreading without metastatic tendency. Increased amount of knowledge about the role of the APC gene and its protein product in FAP play an important role in revealing the molecular nature of desmoid tumors. In general, we can conclude that the β-catenin dysregulation is the key player of the FAP associated desmoid tumor onset. The Wingless/Wnt cascade plays a crucial role in the pathogenesis of aggressive fibromatosis. However, it has not been definitely proven that the mutations of APC or β-catenin genes are the trigger mechanisms. The research outcome can pave the way for using target biological therapy in routine practice in patients with aggressive fibromatosis in the future.

  1. Micropropagation, genetic engineering, and molecular biology of Populus

    Science.gov (United States)

    N. B. Klopfenstein; Y. W. Chun; M. -S. Kim; M. A. Ahuja; M. C. Dillon; R. C. Carman; L. G. Eskew

    1997-01-01

    Thirty-four Populus biotechnology chapters, written by 85 authors, are comprised in 5 sections: 1) in vitro culture (micropropagation, somatic embryogenesis, protoplasts, somaclonal variation, and germplasm preservation); 2) transformation and foreign gene expression; 3) molecular biology (molecular/genetic characterization); 4) biotic and abiotic resistance (disease,...

  2. Editorial Introduction [to Female Germ Cells: Biology and Genetic Risk

    Science.gov (United States)

    This is an editorial introduction to the special issue of utation Research, titled, emale Germ Cells: Biology and Genetic isk, which is an attempt to present a collection of papers that emphasize the distinct properties of female germ cells and their characteristic response to mu...

  3. Genetics of rheumatoid arthritis conributes to biology and drug discovery

    NARCIS (Netherlands)

    Okada, Yukinori; Wu, Di; Trynka, Gosia; Raj, Towfique; Terao, Chikashi; Ikari, Katsunori; Kochi, Yuta; Ohmura, Koichiro; Suzuki, A.; Yoshida, S.; Graham, R.R.; Manoharan, A.; Ortmann, W.; Bhangale, T.; Denny, J.C.; Carroll, R.J.; Eyler, A.E.; Greenberg, J.D.; Kremer, J.M.; Pappas, D.A.; Jiang, L.; Yin, L.; Ye, L.; Su, D.F.; Yang, J.; Xie, G.; Keystone, E.; Westra, H.J.; Esko, T.; Metspalu, A.; Zhou, X.; Gupta, N.; Mirel, D.; Stahl, Eli A.; Diogo, D.; Cui, J.; Liao, K.; Guo, M.H.; Myouzen, K.; Kawaguchi, T.; Coenen, M.J.; van Riel, P.L.; van de Laar, Mart A.F.J.; Guchelaar, H.J.; Huizinga, T.W.; Dieudé, P.; Mariette, X.; Louis Bridges Jr, S.; Zhernakova, A.; Toes, R.E.; Tak, P.P.; Miceli-Richard, C.; Bang, S.Y.; Lee, H.S.; Martin, J.; Gonzales-Gay, M.A.; Rodriguez-Rodriguez, L.; Rantapää-Dhlqvist, S.; Arlestig, L.; Choi, H.K.; Kamatani, Y.; Galan, P.; Lathrop, M.; Eyre, S.; Bowes, J.; Barton, A.; de Vries, N.; Moreland, L.W.; Criswell, L.A.; Karlson, E.W.; Taniguchi, A.; Yamada, R; Kubo, M.; Bae, S.C.; Worthington, J.; Padyukov, L.; Klareskog, L.; Gregersen, Peter K.; Raychaudhuri, S.; Stranger, B.E.; de Jager, P.L.; Franke, L.; Visscher, P.M.; Brown, M.A.; Yamanaka, H.; Mimori, T.; Takahashi, A.; Xu, H.; Behrens, T.W.; Siminovitch, K.A.; Momohara, S.; Matsuda, F.; Yamamoto, K.; Plenge, Robert M.

    2013-01-01

    A major challenge in human genetics is to devise a systematic strategy to integrate disease-associated variants with diverse genomic and biological data sets to provide insight into disease pathogenesis and guide drug discovery for complex traits such as rheumatoid arthritis (RA)1. Here we performed

  4. Biological pathways and genetic mechanisms involved in social functioning.

    Science.gov (United States)

    Ordoñana, Juan R; Bartels, Meike; Boomsma, Dorret I; Cella, David; Mosing, Miriam; Oliveira, Joao R; Patrick, Donald L; Veenhoven, Ruut; Wagner, Gert G; Sprangers, Mirjam A G

    2013-08-01

    To describe the major findings in the literature regarding associations between biological and genetic factors and social functioning, paying special attention to: (1) heritability studies on social functioning and related concepts; (2) hypothesized biological pathways and genetic variants that could be involved in social functioning, and (3) the implications of these results for quality-of-life research. A search of Web of Science and PubMed databases was conducted using combinations of the following keywords: genetics, twins, heritability, social functioning, social adjustment, social interaction, and social dysfunction. Variability in the definitions and measures of social functioning was extensive. Moderate to high heritability was reported for social functioning and related concepts, including prosocial behavior, loneliness, and extraversion. Disorders characterized by impairments in social functioning also show substantial heritability. Genetic variants hypothesized to be involved in social functioning are related to the network of brain structures and processes that are known to affect social cognition and behavior. Better knowledge and understanding about the impact of genetic factors on social functioning is needed to help us to attain a more comprehensive view of health-related quality-of-life (HRQOL) and will ultimately enhance our ability to identify those patients who are vulnerable to poor social functioning.

  5. Genetic variability of muscle biological characteristics of young limousin bulls

    OpenAIRE

    Renand, Gilles; Jurie, Catherine; Robelin, Jacques; Picard, Brigitte; Geay, Y.; Menissier, Francois

    1995-01-01

    Genetic parameters of 4 muscle biological characteristics (protein to DNA ratio (Pro/DNA), lactate dehydrogenase (LDH) activity, isocitrate dehydrogenase (ICDH) activity and the proportion of type I myosin heavy chains (MHC I)), in the Semitendinosus and the Longissimus thoracis, were estimated simultaneously with average daily gain (ADG), 480-d final weight (FW), carcass lean and fat contents (CL% and CF% respectively) in a sample of young Limousin bulls tested in station. The data came f...

  6. Attitudes towards genetic testing: analysis of contradictions

    DEFF Research Database (Denmark)

    Jallinoja, P; Hakonen, A; Aro, A R

    1998-01-01

    A survey study was conducted among 1169 people to evaluate attitudes towards genetic testing in Finland. Here we present an analysis of the contradictions detected in people's attitudes towards genetic testing. This analysis focuses on the approval of genetic testing as an individual choice and o...... studies on attitudes towards genetic testing as well as in the health care context, e.g. in genetic counselling.......A survey study was conducted among 1169 people to evaluate attitudes towards genetic testing in Finland. Here we present an analysis of the contradictions detected in people's attitudes towards genetic testing. This analysis focuses on the approval of genetic testing as an individual choice...... and on the confidence in control of the process of genetic testing and its implications. Our analysis indicated that some of the respondents have contradictory attitudes towards genetic testing. It is proposed that contradictory attitudes towards genetic testing should be given greater significance both in scientific...

  7. Biological signals classification and analysis

    CERN Document Server

    Kiasaleh, Kamran

    2015-01-01

    This authored monograph presents key aspects of signal processing analysis in the biomedical arena. Unlike wireless communication systems, biological entities produce signals with underlying nonlinear, chaotic nature that elude classification using the standard signal processing techniques, which have been developed over the past several decades for dealing primarily with standard communication systems. This book separates what is random from that which appears to be random, and yet is truly deterministic with random appearance. At its core, this work gives the reader a perspective on biomedical signals and the means to classify and process such signals. In particular, a review of random processes along with means to assess the behavior of random signals is also provided. The book also includes a general discussion of biological signals in order to demonstrate the inefficacy of the well-known techniques to correctly extract meaningful information from such signals. Finally, a thorough discussion of recently ...

  8. Genetic studies of body mass index yield new insights for obesity biology

    DEFF Research Database (Denmark)

    Locke, Adam E.; Kahali, Bratati; Berndt, Sonja I.

    2015-01-01

    Obesity is heritable and predisposes to many diseases. To understand the genetic basis of obesity better, here we conduct a genome-wide association study and Metabochip meta-analysis of body mass index (BMI), a measure commonly used to define obesity and assess adiposity, in upto 339,224 individu......Obesity is heritable and predisposes to many diseases. To understand the genetic basis of obesity better, here we conduct a genome-wide association study and Metabochip meta-analysis of body mass index (BMI), a measure commonly used to define obesity and assess adiposity, in upto 339......, insulin secretion/action, energy metabolism, lipid biology and adipogenesis....

  9. Parameter determination for quantitative PIXE analysis using genetic algorithms

    International Nuclear Information System (INIS)

    Aspiazu, J.; Belmont-Moreno, E.

    1996-01-01

    For biological and environmental samples, PIXE technique is in particular advantage for elemental analysis, but the quantitative analysis implies accomplishing complex calculations that require the knowledge of more than a dozen parameters. Using a genetic algorithm, the authors give here an account of the procedure to obtain the best values for the parameters necessary to fit the efficiency for a X-ray detector. The values for some variables involved in quantitative PIXE analysis, were manipulated in a similar way as the genetic information is treated in a biological process. The authors carried out the algorithm until they reproduce, within the confidence interval, the elemental concentrations corresponding to a reference material

  10. Chemical and genetic tools to explore S1P biology.

    Science.gov (United States)

    Cahalan, Stuart M

    2014-01-01

    The zwitterionic lysophospholipid Sphingosine 1-Phosphate (S1P) is a pleiotropic mediator of physiology and pathology. The synthesis, transport, and degradation of S1P are tightly regulated to ensure that S1P is present in the proper concentrations in the proper location. The binding of S1P to five G protein-coupled S1P receptors regulates many physiological systems, particularly the immune and vascular systems. Our understanding of the functions of S1P has been aided by the tractability of the system to both chemical and genetic manipulation. Chemical modulators have been generated to affect most of the known components of S1P biology, including agonists of S1P receptors and inhibitors of enzymes regulating S1P production and degradation. Genetic knockouts and manipulations have been similarly engineered to disrupt the functions of individual S1P receptors or enzymes involved in S1P metabolism. This chapter will focus on the development and utilization of these chemical and genetic tools to explore the complex biology surrounding S1P and its receptors, with particular attention paid to the in vivo findings that these tools have allowed for.

  11. Sensitivity analysis approaches applied to systems biology models.

    Science.gov (United States)

    Zi, Z

    2011-11-01

    With the rising application of systems biology, sensitivity analysis methods have been widely applied to study the biological systems, including metabolic networks, signalling pathways and genetic circuits. Sensitivity analysis can provide valuable insights about how robust the biological responses are with respect to the changes of biological parameters and which model inputs are the key factors that affect the model outputs. In addition, sensitivity analysis is valuable for guiding experimental analysis, model reduction and parameter estimation. Local and global sensitivity analysis approaches are the two types of sensitivity analysis that are commonly applied in systems biology. Local sensitivity analysis is a classic method that studies the impact of small perturbations on the model outputs. On the other hand, global sensitivity analysis approaches have been applied to understand how the model outputs are affected by large variations of the model input parameters. In this review, the author introduces the basic concepts of sensitivity analysis approaches applied to systems biology models. Moreover, the author discusses the advantages and disadvantages of different sensitivity analysis methods, how to choose a proper sensitivity analysis approach, the available sensitivity analysis tools for systems biology models and the caveats in the interpretation of sensitivity analysis results.

  12. Arthritis Genetics Analysis Aids Drug Discovery

    Science.gov (United States)

    ... NIH Research Matters January 13, 2014 Arthritis Genetics Analysis Aids Drug Discovery An international research team identified 42 new ... Edition Distracted Driving Raises Crash Risk Arthritis Genetics Analysis Aids Drug Discovery Oxytocin Affects Facial Recognition Connect with Us ...

  13. Crossing the front: contrasting storm-forced dispersal dynamics revealed by biological, geological and genetic analysis of beach-cast kelp.

    Science.gov (United States)

    Waters, Jonathan M; King, Tania M; Fraser, Ceridwen I; Craw, Dave

    2018-03-01

    The subtropical front (STF) generally represents a substantial oceanographic barrier to dispersal between cold-sub-Antarctic and warm-temperate water masses. Recent studies have suggested that storm events can drastically influence marine dispersal and patterns. Here we analyse biological and geological dispersal driven by two major, contrasting storm events in southern New Zealand, 2017. We integrate biological and physical data to show that a severe southerly system in July 2017 disrupted this barrier by promoting movement of substantial numbers of southern sub-Antarctic Durvillaea kelp rafts across the STF, to make landfall in mainland NZ. By contrast, a less intense easterly storm (Cyclone Cook, April 2017) resulted in more moderate dispersal distances, with minimal dispersal between the sub-Antarctic and mainland New Zealand. These quantitative analyses of approximately 200 freshly beach-cast kelp specimens indicate that storm intensity and wind direction can strongly influence marine dispersal and landfall outcomes. © 2018 The Author(s).

  14. Molecular genetics of glioblastomas: defining subtypes and understanding the biology.

    Science.gov (United States)

    Renault, Ilana Zalcberg; Golgher, Denise

    2015-02-01

    Despite comprehensive therapy, which includes surgery, radiotherapy, and chemotherapy, the prognosis of glioblastoma multiforme is very poor. Diagnosed individuals present an average of 12 to 18 months of life. This article provides an overview of the molecular genetics of these tumors. Despite the overwhelming amount of data available, so far little has been translated into real benefits for the patient. Because this is such a complex topic, the goal is to point out the main alterations in the biological pathways that lead to tumor formation, and how this can contribute to the development of better therapies and clinical care. Copyright © 2015 Elsevier Inc. All rights reserved.

  15. GENETICS AND MOLECULAR BIOLOGY AND PIG MEAT QUALITY IMPROVEMENT

    Directory of Open Access Journals (Sweden)

    J. BULLA

    2007-05-01

    Full Text Available The main goals in pig breeding have for many years been to improve growth rate, feedconversion and carcass composition. There have been less efforts to improve meat qualityparameters (WHC, pH, tenderness, colour etc. but the main contribution has been areduction of stress susceptibility and PSE meat. Unfortunately, the quantitative geneticapproach has yielded few clues regarding the fundamental genetic changes that accompaniedthe selection of animal for superior carcass attributes. While mapping efforts are makingsignificant major effects on carcass and his quality composition DNA test would be availableto detect some positive or negative alleles. There are clear breed effects on meat quality,which in some cases are fully related to the presence of a single gene with major effect (RYR1,MYF4, H-FABP, LEPR, IGF2. Molecular biology methods provides excellent opportunitiesto improve meat quality in selection schemes within breeds and lines. Selection on majorgenes will not only increase average levels of quality but also decrease variability (ei increaseuniformity. The aim of this paper is to discuss there genetic and non-genetic opportunities.

  16. GENETICS AND MOLECULAR BIOLOGY AND PIG MEAT QUALITY IMPROVEMENT

    Directory of Open Access Journals (Sweden)

    BULLA, J.

    2007-01-01

    Full Text Available The main goals in pig breeding have for many years been to improve growth rate, feedconversion and carcass composition. There have been less efforts to improve meat qualityparameters (WHC, pH, tenderness, colour etc. but the main contribution has been areduction of stress susceptibility and PSE meat. Unfortunately, the quantitative geneticapproach has yielded few clues regarding the fundamental genetic changes that accompaniedthe selection of animal for superior carcass attributes. While mapping efforts are makingsignificant major effects on carcass and his quality composition DNA test would be availableto detect some positive or negative alleles. There are clear breed effects on meat quality,which in some cases are fully related to the presence of a single gene with major effect (RYR1,MYF4, H-FABP, LEPR, IGF2. Molecular biology methods provides excellent opportunitiesto improve meat quality in selection schemes within breeds and lines. Selection on majorgenes will not only increase average levels of quality but also decrease variability (ei increaseuniformity. The aim of this paper is to discuss there genetic and non-genetic opportunities.

  17. Systematic reconstruction of autism biology from massive genetic mutation profiles.

    Science.gov (United States)

    Luo, Weijun; Zhang, Chaolin; Jiang, Yong-Hui; Brouwer, Cory R

    2018-04-01

    Autism spectrum disorder (ASD) affects 1% of world population and has become a pressing medical and social problem worldwide. As a paradigmatic complex genetic disease, ASD has been intensively studied and thousands of gene mutations have been reported. Because these mutations rarely recur, it is difficult to (i) pinpoint the fewer disease-causing versus majority random events and (ii) replicate or verify independent studies. A coherent and systematic understanding of autism biology has not been achieved. We analyzed 3392 and 4792 autism-related mutations from two large-scale whole-exome studies across multiple resolution levels, that is, variants (single-nucleotide), genes (protein-coding unit), and pathways (molecular module). These mutations do not recur or replicate at the variant level, but significantly and increasingly do so at gene and pathway levels. Genetic association reveals a novel gene + pathway dual-hit model, where the mutation burden becomes less relevant. In multiple independent analyses, hundreds of variants or genes repeatedly converge to several canonical pathways, either novel or literature-supported. These pathways define recurrent and systematic ASD biology, distinct from previously reported gene groups or networks. They also present a catalog of novel ASD risk factors including 118 variants and 72 genes. At a subpathway level, most variants disrupt the pathway-related gene functions, and in the same gene, they tend to hit residues extremely close to each other and in the same domain. Multiple interacting variants spotlight key modules, including the cAMP (adenosine 3',5'-monophosphate) second-messenger system and mGluR (metabotropic glutamate receptor) signaling regulation by GRKs (G protein-coupled receptor kinases). At a superpathway level, distinct pathways further interconnect and converge to three biology themes: synaptic function, morphology, and plasticity.

  18. Neglect of genetic diversity in implementation of the Convention on Biological Diversity

    Science.gov (United States)

    Linda Laikre; Fred W. Allendorf; Laurel C. Aroner; C. Scott Baker; David P. Gregovich; Michael M. Hansen; Jennifer A. Jackson; Katherine C. Kendall; Kevin Mckelvey; Maile C. Neel; Isabelle Olivieri; Nils Ryman; Michael K. Schwartz; Ruth Short Bull; Jeffrey B. Stetz; David A. Tallmon; Barbara L. Taylor; Christina D. Vojta; Donald M. Waller; Robin S. Waples

    2009-01-01

    Genetic diversity is the foundation for all biological diversity; the persistence and evolutionary potential of species depend on it. World leaders have agreed on the conservation of genetic diversity as an explicit goal of the Convention on Biological Diversity (CBD). Nevertheless, actions to protect genetic diversity are largely lacking. With only months left to the...

  19. An analysis of the genetic diversity and genetic structure of ...

    African Journals Online (AJOL)

    Scientific approaches to conservation of threatened species depend on a good understanding of the genetic information of wild and artificial population. The genetic diversity and structure analysis of 10 Eucommia ulmoides population was analyzed using inter-simple sequence repeat (ISSR) markers in this paper.

  20. Insights into Monascus biology at the genetic level.

    Science.gov (United States)

    Shao, Yanchun; Lei, Ming; Mao, Zejing; Zhou, Youxiang; Chen, Fusheng

    2014-05-01

    The genus of Monascus was nominated by van Tieghem in 1884, but its fermented product-red mold rice (RMR), namely red yeast rice, has been used as folk medicines, food colorants, and fermentation starters for more than thousands of years in oriental countries. Nowadays, RMR is widely developed as food supplements around the world due to its functional compounds such as monacolin K (MK, also called lovastatin) and γ-aminobutyric acid. But the usage of RMR also incurs controversy resulting from contamination of citrinin (a kind of mycotoxin) produced by some Monascus strains. In the past decade, it has made great progress to Monascus spp. at the genetic level with the application of molecular biology techniques to restrain the citrinin production and increase the yields of MK and pigment in RMR, as well as aid Monascus classification and phylogenesis. Up to now, hundreds of papers about Monascus molecular biology (MMB) have been published in the international primary journals. However, to our knowledge, there is no MMB review issued until now. In this review, current understanding of Monascus spp. from the view of molecular biology will be covered and insights into research areas that need to be further investigated will also be discussed.

  1. [Evaluation of visualization of biological stains with the use of alternative light source (ALS) for the purpose of genetic identification. Part I. Blood and saliva stains analysis].

    Science.gov (United States)

    Szeremeta, Michał; Pepiński, Witold; Niemcunowicz-Janica, Anna; Skawrońska, Małgorzata; Sackiewicz, Adam; Ptaszyńska-Sarosiek, Iwona; Okłota, Magdalena

    2010-01-01

    The objective of the investigation was evaluation of visualization of human blood and saliva stains with the use of alternative light source for the purpose of genetic identification. Experimental bloodstains on the bright base were the most clearly seen in the natural light and white light, up to blood dilution of 1:600. Complete typeability of AmpFISTR SGM Plus kit profiles was obtained from bloodstains at dilution 1:1500. Partial AmpFISTR SGM Plus kit profiles were typed from bloodstains at dilutions 1:1750 and 1:2000. Experimental saliva stains on the light-colored base were completely invisible in the natural light and white light, while they were visualized at wavelength range 300-415 nm through yellow goggles, and at wavelength range 300-455 nm through orange goggles at saliva dilution 1: 600. Complete typeability of AmpFISTR SGM Plus kit loci was obtained from saliva stains at dilution 1:1750. Partial AmpFISTR SGM Plus kit profiles were typed from saliva stains at dilution 1:2000. The wavelength of 455 nm and orange goggles were the optimal set for visualization of bloodstains on various, noncontrasting materials. Other useful wavelength/combinations of goggles were CSS light/red goggles. In case of saliva, the most useful general condition for visualization of stains on various, non-contrasting materials was with the wavelength set to 300-415 nm, while wearing yellow goggles. Other useful combinations of wavelength/goggles were 300-455 nm/orange or red goggles, and also CSS light/orange or red goggles.

  2. Next-generation mammalian genetics toward organism-level systems biology.

    Science.gov (United States)

    Susaki, Etsuo A; Ukai, Hideki; Ueda, Hiroki R

    2017-01-01

    Organism-level systems biology in mammals aims to identify, analyze, control, and design molecular and cellular networks executing various biological functions in mammals. In particular, system-level identification and analysis of molecular and cellular networks can be accelerated by next-generation mammalian genetics. Mammalian genetics without crossing, where all production and phenotyping studies of genome-edited animals are completed within a single generation drastically reduce the time, space, and effort of conducting the systems research. Next-generation mammalian genetics is based on recent technological advancements in genome editing and developmental engineering. The process begins with introduction of double-strand breaks into genomic DNA by using site-specific endonucleases, which results in highly efficient genome editing in mammalian zygotes or embryonic stem cells. By using nuclease-mediated genome editing in zygotes, or ~100% embryonic stem cell-derived mouse technology, whole-body knock-out and knock-in mice can be produced within a single generation. These emerging technologies allow us to produce multiple knock-out or knock-in strains in high-throughput manner. In this review, we discuss the basic concepts and related technologies as well as current challenges and future opportunities for next-generation mammalian genetics in organism-level systems biology.

  3. Genetic Variation and Biological Control of Fusarium graminearum Isolated from Wheat in Assiut-Egypt

    Directory of Open Access Journals (Sweden)

    Amer F. Mahmoud

    2016-04-01

    Full Text Available Fusarium graminearum Schwabe causes Fusarium head blight (FHB, a devastating disease that leads to extensive yield and quality loss of wheat and other cereal crops. Twelve isolates of F. graminearum were collected from naturally infected spikes of wheat from Assiut Egypt. These isolates were compared using SRAP. The results indicated distinct genetic groups exist within F. graminearum, and demonstrated that these groups have different biological properties, especially with respect to their pathogenicity on wheat. There were biologically significant differences between the groups; with group (B isolates being more aggressive towards wheat than groups (A and (C. Furthermore, Trichoderma harzianum (Rifai and Bacillus subtilis (Ehrenberg which isolated from wheat kernels were screened for antagonistic activity against F. graminearum. They significantly reduced the growth of F. graminearum colonies in culture. In order to gain insight into biological control effect in situ, highly antagonistic isolates of T. harzianum and B. subtilis were selected, based on their in vitro effectiveness, for greenhouse test. It was revealed that T. harzianum and B. subtilis significantly reduced FHB severity. The obtained results indicated that T. harzianum and B. subtilis are very effective biocontrol agents that offer potential benefit in FHB and should be harnessed for further biocontrol applications. The accurate analysis of genetic variation and studies of population structures have significant implications for understanding the genetic traits and disease control programs in wheat. This is the first known report of the distribution and genetic variation of F. graminearum on wheat spikes in Assiut Egypt.

  4. A systems genetics approach provides a bridge from discovered genetic variants to biological pathways in rheumatoid arthritis.

    Directory of Open Access Journals (Sweden)

    Hirofumi Nakaoka

    Full Text Available Genome-wide association studies (GWAS have yielded novel genetic loci underlying common diseases. We propose a systems genetics approach to utilize these discoveries for better understanding of the genetic architecture of rheumatoid arthritis (RA. Current evidence of genetic associations with RA was sought through PubMed and the NHGRI GWAS catalog. The associations of 15 single nucleotide polymorphisms and HLA-DRB1 alleles were confirmed in 1,287 cases and 1,500 controls of Japanese subjects. Among these, HLA-DRB1 alleles and eight SNPs showed significant associations and all but one of the variants had the same direction of effect as identified in the previous studies, indicating that the genetic risk factors underlying RA are shared across populations. By receiver operating characteristic curve analysis, the area under the curve (AUC for the genetic risk score based on the selected variants was 68.4%. For seropositive RA patients only, the AUC improved to 70.9%, indicating good but suboptimal predictive ability. A simulation study shows that more than 200 additional loci with similar effect size as recent GWAS findings or 20 rare variants with intermediate effects are needed to achieve AUC = 80.0%. We performed the random walk with restart (RWR algorithm to prioritize genes for future mapping studies. The performance of the algorithm was confirmed by leave-one-out cross-validation. The RWR algorithm pointed to ZAP70 in the first rank, in which mutation causes RA-like autoimmune arthritis in mice. By applying the hierarchical clustering method to a subnetwork comprising RA-associated genes and top-ranked genes by the RWR, we found three functional modules relevant to RA etiology: "leukocyte activation and differentiation", "pattern-recognition receptor signaling pathway", and "chemokines and their receptors".These results suggest that the systems genetics approach is useful to find directions of future mapping strategies to illuminate

  5. Population Genetic Structure of Glycyrrhiza inflata B. (Fabaceae) Is Shaped by Habitat Fragmentation, Water Resources and Biological Characteristics.

    Science.gov (United States)

    Yang, Lulu; Chen, Jianjun; Hu, Weiming; Yang, Tianshun; Zhang, Yanjun; Yukiyoshi, Tamura; Zhou, Yanyang; Wang, Ying

    2016-01-01

    Habitat fragmentation, water resources and biological characteristics are important factors that shape the genetic structure and geographical distribution of desert plants. Analysis of the relationships between these factors and population genetic variation should help to determine the evolutionary potential and conservation strategies for genetic resources for desert plant populations. As a traditional Chinese herb, Glycyrrhiza inflata B. (Fabaceae) is restricted to the fragmented desert habitat in China and has undergone a dramatic decline due to long-term over-excavation. Determining the genetic structure of the G. inflata population and identifying a core collection could help with the development of strategies to conserve this species. We investigated the genetic variation of 25 G. inflata populations based on microsatellite markers. A high level of population genetic divergence (FST = 0.257), population bottlenecks, reduced gene flow and moderate genetic variation (HE = 0.383) were detected. The genetic distances between the populations significantly correlated with the geographical distances, and this suggests that habitat fragmentation has driven a special genetic structure of G. inflata in China through isolation by distance. STRUCTURE analysis showed that G. inflata populations were structured into three clusters and that the populations belonged to multiple water systems, which suggests that water resources were related to the genetic structure of G. inflata. In addition, the biological characteristics of the perennial species G. inflata, such as its long-lived seeds, asexual reproduction, and oasis ecology, may be related to its resistance to habitat fragmentation. A core collection of G. inflata, that included 57 accessions was further identified, which captured the main allelic diversity of G. inflata. Recent habitat fragmentation has accelerated genetic divergence. The population genetic structure of G. inflata has been shaped by habitat

  6. Can Man Control His Biological Evolution? A Symposium on Genetic Engineering. Man's Responsibility to His Future

    Science.gov (United States)

    Hoagland, Hudson

    1972-01-01

    Biological evolution can be carried out in the laboratory. With new knowledge available in genetics, possibilities are raised that genetic characters can be transferred in the future to embryos according to a predetermined plan. (PS)

  7. Genetics of Psoriasis and Pharmacogenetics of Biological Drugs

    Directory of Open Access Journals (Sweden)

    Rocío Prieto-Pérez

    2013-01-01

    Full Text Available Psoriasis is a chronic inflammatory disease of the skin. The causes of psoriasis are unknown, although family and twin studies have shown genetic factors to play a key role in its development. The many genes associated with psoriasis and the immune response include TNFα, IL23, and IL12. Advances in knowledge of the pathogenesis of psoriasis have enabled the development of new drugs that target cytokines (e.g., etanercept, adalimumab, and infliximab, which target TNFα, and ustekinumab, which targets the p40 subunit of IL23 and IL12. These drugs have improved the safety and efficacy of treatment in comparison with previous therapies. However, not all patients respond equally to treatment, possibly owing to interindividual genetic variability. In this review, we describe the genes associated with psoriasis and the immune response, the biological drugs used to treat chronic severe plaque psoriasis, new drugs in phase II and III trials, and current knowledge on the implications of pharmacogenomics in predicting response to these treatments.

  8. The Analysis of Polyploid Genetic Data

    NARCIS (Netherlands)

    Meirmans, P.G.; Liu, S.; van Tienderen, P.H.

    2018-01-01

    Though polyploidy is an important aspect of the evolutionary genetics of both plants and animals, the development of population genetic theory of polyploids has seriously lagged behind that of diploids. This is unfortunate since the analysis of polyploid genetic data—and the interpretation of the

  9. RESEARCH NOTE Molecular genetic analysis of consanguineous ...

    Indian Academy of Sciences (India)

    Navya

    Molecular genetic analysis of consanguineous families with primary microcephaly ... Translational Research Institute, Academic Health System, Hamad Medical ..... bridging the gap between homozygosity mapping and deep sequencing.

  10. Pragmatic turn in biology: From biological molecules to genetic content operators.

    Science.gov (United States)

    Witzany, Guenther

    2014-08-26

    Erwin Schrödinger's question "What is life?" received the answer for decades of "physics + chemistry". The concepts of Alain Turing and John von Neumann introduced a third term: "information". This led to the understanding of nucleic acid sequences as a natural code. Manfred Eigen adapted the concept of Hammings "sequence space". Similar to Hilbert space, in which every ontological entity could be defined by an unequivocal point in a mathematical axiomatic system, in the abstract "sequence space" concept each point represents a unique syntactic structure and the value of their separation represents their dissimilarity. In this concept molecular features of the genetic code evolve by means of self-organisation of matter. Biological selection determines the fittest types among varieties of replication errors of quasi-species. The quasi-species concept dominated evolution theory for many decades. In contrast to this, recent empirical data on the evolution of DNA and its forerunners, the RNA-world and viruses indicate cooperative agent-based interactions. Group behaviour of quasi-species consortia constitute de novo and arrange available genetic content for adaptational purposes within real-life contexts that determine epigenetic markings. This review focuses on some fundamental changes in biology, discarding its traditional status as a subdiscipline of physics and chemistry.

  11. Genetic studies of body mass index yield new insights for obesity biology.

    Science.gov (United States)

    Locke, Adam E; Kahali, Bratati; Berndt, Sonja I; Justice, Anne E; Pers, Tune H; Day, Felix R; Powell, Corey; Vedantam, Sailaja; Buchkovich, Martin L; Yang, Jian; Croteau-Chonka, Damien C; Esko, Tonu; Fall, Tove; Ferreira, Teresa; Gustafsson, Stefan; Kutalik, Zoltán; Luan, Jian'an; Mägi, Reedik; Randall, Joshua C; Winkler, Thomas W; Wood, Andrew R; Workalemahu, Tsegaselassie; Faul, Jessica D; Smith, Jennifer A; Zhao, Jing Hua; Zhao, Wei; Chen, Jin; Fehrmann, Rudolf; Hedman, Åsa K; Karjalainen, Juha; Schmidt, Ellen M; Absher, Devin; Amin, Najaf; Anderson, Denise; Beekman, Marian; Bolton, Jennifer L; Bragg-Gresham, Jennifer L; Buyske, Steven; Demirkan, Ayse; Deng, Guohong; Ehret, Georg B; Feenstra, Bjarke; Feitosa, Mary F; Fischer, Krista; Goel, Anuj; Gong, Jian; Jackson, Anne U; Kanoni, Stavroula; Kleber, Marcus E; Kristiansson, Kati; Lim, Unhee; Lotay, Vaneet; Mangino, Massimo; Leach, Irene Mateo; Medina-Gomez, Carolina; Medland, Sarah E; Nalls, Michael A; Palmer, Cameron D; Pasko, Dorota; Pechlivanis, Sonali; Peters, Marjolein J; Prokopenko, Inga; Shungin, Dmitry; Stančáková, Alena; Strawbridge, Rona J; Sung, Yun Ju; Tanaka, Toshiko; Teumer, Alexander; Trompet, Stella; van der Laan, Sander W; van Setten, Jessica; Van Vliet-Ostaptchouk, Jana V; Wang, Zhaoming; Yengo, Loïc; Zhang, Weihua; Isaacs, Aaron; Albrecht, Eva; Ärnlöv, Johan; Arscott, Gillian M; Attwood, Antony P; Bandinelli, Stefania; Barrett, Amy; Bas, Isabelita N; Bellis, Claire; Bennett, Amanda J; Berne, Christian; Blagieva, Roza; Blüher, Matthias; Böhringer, Stefan; Bonnycastle, Lori L; Böttcher, Yvonne; Boyd, Heather A; Bruinenberg, Marcel; Caspersen, Ida H; Chen, Yii-Der Ida; Clarke, Robert; Daw, E Warwick; de Craen, Anton J M; Delgado, Graciela; Dimitriou, Maria; Doney, Alex S F; Eklund, Niina; Estrada, Karol; Eury, Elodie; Folkersen, Lasse; Fraser, Ross M; Garcia, Melissa E; Geller, Frank; Giedraitis, Vilmantas; Gigante, Bruna; Go, Alan S; Golay, Alain; Goodall, Alison H; Gordon, Scott D; Gorski, Mathias; Grabe, Hans-Jörgen; Grallert, Harald; Grammer, Tanja B; Gräßler, Jürgen; Grönberg, Henrik; Groves, Christopher J; Gusto, Gaëlle; Haessler, Jeffrey; Hall, Per; Haller, Toomas; Hallmans, Goran; Hartman, Catharina A; Hassinen, Maija; Hayward, Caroline; Heard-Costa, Nancy L; Helmer, Quinta; Hengstenberg, Christian; Holmen, Oddgeir; Hottenga, Jouke-Jan; James, Alan L; Jeff, Janina M; Johansson, Åsa; Jolley, Jennifer; Juliusdottir, Thorhildur; Kinnunen, Leena; Koenig, Wolfgang; Koskenvuo, Markku; Kratzer, Wolfgang; Laitinen, Jaana; Lamina, Claudia; Leander, Karin; Lee, Nanette R; Lichtner, Peter; Lind, Lars; Lindström, Jaana; Lo, Ken Sin; Lobbens, Stéphane; Lorbeer, Roberto; Lu, Yingchang; Mach, François; Magnusson, Patrik K E; Mahajan, Anubha; McArdle, Wendy L; McLachlan, Stela; Menni, Cristina; Merger, Sigrun; Mihailov, Evelin; Milani, Lili; Moayyeri, Alireza; Monda, Keri L; Morken, Mario A; Mulas, Antonella; Müller, Gabriele; Müller-Nurasyid, Martina; Musk, Arthur W; Nagaraja, Ramaiah; Nöthen, Markus M; Nolte, Ilja M; Pilz, Stefan; Rayner, Nigel W; Renstrom, Frida; Rettig, Rainer; Ried, Janina S; Ripke, Stephan; Robertson, Neil R; Rose, Lynda M; Sanna, Serena; Scharnagl, Hubert; Scholtens, Salome; Schumacher, Fredrick R; Scott, William R; Seufferlein, Thomas; Shi, Jianxin; Smith, Albert Vernon; Smolonska, Joanna; Stanton, Alice V; Steinthorsdottir, Valgerdur; Stirrups, Kathleen; Stringham, Heather M; Sundström, Johan; Swertz, Morris A; Swift, Amy J; Syvänen, Ann-Christine; Tan, Sian-Tsung; Tayo, Bamidele O; Thorand, Barbara; Thorleifsson, Gudmar; Tyrer, Jonathan P; Uh, Hae-Won; Vandenput, Liesbeth; Verhulst, Frank C; Vermeulen, Sita H; Verweij, Niek; Vonk, Judith M; Waite, Lindsay L; Warren, Helen R; Waterworth, Dawn; Weedon, Michael N; Wilkens, Lynne R; Willenborg, Christina; Wilsgaard, Tom; Wojczynski, Mary K; Wong, Andrew; Wright, Alan F; Zhang, Qunyuan; Brennan, Eoin P; Choi, Murim; Dastani, Zari; Drong, Alexander W; Eriksson, Per; Franco-Cereceda, Anders; Gådin, Jesper R; Gharavi, Ali G; Goddard, Michael E; Handsaker, Robert E; Huang, Jinyan; Karpe, Fredrik; Kathiresan, Sekar; Keildson, Sarah; Kiryluk, Krzysztof; Kubo, Michiaki; Lee, Jong-Young; Liang, Liming; Lifton, Richard P; Ma, Baoshan; McCarroll, Steven A; McKnight, Amy J; Min, Josine L; Moffatt, Miriam F; Montgomery, Grant W; Murabito, Joanne M; Nicholson, George; Nyholt, Dale R; Okada, Yukinori; Perry, John R B; Dorajoo, Rajkumar; Reinmaa, Eva; Salem, Rany M; Sandholm, Niina; Scott, Robert A; Stolk, Lisette; Takahashi, Atsushi; Tanaka, Toshihiro; van 't Hooft, Ferdinand M; Vinkhuyzen, Anna A E; Westra, Harm-Jan; Zheng, Wei; Zondervan, Krina T; Heath, Andrew C; Arveiler, Dominique; Bakker, Stephan J L; Beilby, John; Bergman, Richard N; Blangero, John; Bovet, Pascal; Campbell, Harry; Caulfield, Mark J; Cesana, Giancarlo; Chakravarti, Aravinda; Chasman, Daniel I; Chines, Peter S; Collins, Francis S; Crawford, Dana C; Cupples, L Adrienne; Cusi, Daniele; Danesh, John; de Faire, Ulf; den Ruijter, Hester M; Dominiczak, Anna F; Erbel, Raimund; Erdmann, Jeanette; Eriksson, Johan G; Farrall, Martin; Felix, Stephan B; Ferrannini, Ele; Ferrières, Jean; Ford, Ian; Forouhi, Nita G; Forrester, Terrence; Franco, Oscar H; Gansevoort, Ron T; Gejman, Pablo V; Gieger, Christian; Gottesman, Omri; Gudnason, Vilmundur; Gyllensten, Ulf; Hall, Alistair S; Harris, Tamara B; Hattersley, Andrew T; Hicks, Andrew A; Hindorff, Lucia A; Hingorani, Aroon D; Hofman, Albert; Homuth, Georg; Hovingh, G Kees; Humphries, Steve E; Hunt, Steven C; Hyppönen, Elina; Illig, Thomas; Jacobs, Kevin B; Jarvelin, Marjo-Riitta; Jöckel, Karl-Heinz; Johansen, Berit; Jousilahti, Pekka; Jukema, J Wouter; Jula, Antti M; Kaprio, Jaakko; Kastelein, John J P; Keinanen-Kiukaanniemi, Sirkka M; Kiemeney, Lambertus A; Knekt, Paul; Kooner, Jaspal S; Kooperberg, Charles; Kovacs, Peter; Kraja, Aldi T; Kumari, Meena; Kuusisto, Johanna; Lakka, Timo A; Langenberg, Claudia; Marchand, Loic Le; Lehtimäki, Terho; Lyssenko, Valeriya; Männistö, Satu; Marette, André; Matise, Tara C; McKenzie, Colin A; McKnight, Barbara; Moll, Frans L; Morris, Andrew D; Morris, Andrew P; Murray, Jeffrey C; Nelis, Mari; Ohlsson, Claes; Oldehinkel, Albertine J; Ong, Ken K; Madden, Pamela A F; Pasterkamp, Gerard; Peden, John F; Peters, Annette; Postma, Dirkje S; Pramstaller, Peter P; Price, Jackie F; Qi, Lu; Raitakari, Olli T; Rankinen, Tuomo; Rao, D C; Rice, Treva K; Ridker, Paul M; Rioux, John D; Ritchie, Marylyn D; Rudan, Igor; Salomaa, Veikko; Samani, Nilesh J; Saramies, Jouko; Sarzynski, Mark A; Schunkert, Heribert; Schwarz, Peter E H; Sever, Peter; Shuldiner, Alan R; Sinisalo, Juha; Stolk, Ronald P; Strauch, Konstantin; Tönjes, Anke; Trégouët, David-Alexandre; Tremblay, Angelo; Tremoli, Elena; Virtamo, Jarmo; Vohl, Marie-Claude; Völker, Uwe; Waeber, Gérard; Willemsen, Gonneke; Witteman, Jacqueline C; Zillikens, M Carola; Adair, Linda S; Amouyel, Philippe; Asselbergs, Folkert W; Assimes, Themistocles L; Bochud, Murielle; Boehm, Bernhard O; Boerwinkle, Eric; Bornstein, Stefan R; Bottinger, Erwin P; Bouchard, Claude; Cauchi, Stéphane; Chambers, John C; Chanock, Stephen J; Cooper, Richard S; de Bakker, Paul I W; Dedoussis, George; Ferrucci, Luigi; Franks, Paul W; Froguel, Philippe; Groop, Leif C; Haiman, Christopher A; Hamsten, Anders; Hui, Jennie; Hunter, David J; Hveem, Kristian; Kaplan, Robert C; Kivimaki, Mika; Kuh, Diana; Laakso, Markku; Liu, Yongmei; Martin, Nicholas G; März, Winfried; Melbye, Mads; Metspalu, Andres; Moebus, Susanne; Munroe, Patricia B; Njølstad, Inger; Oostra, Ben A; Palmer, Colin N A; Pedersen, Nancy L; Perola, Markus; Pérusse, Louis; Peters, Ulrike; Power, Chris; Quertermous, Thomas; Rauramaa, Rainer; Rivadeneira, Fernando; Saaristo, Timo E; Saleheen, Danish; Sattar, Naveed; Schadt, Eric E; Schlessinger, David; Slagboom, P Eline; Snieder, Harold; Spector, Tim D; Thorsteinsdottir, Unnur; Stumvoll, Michael; Tuomilehto, Jaakko; Uitterlinden, André G; Uusitupa, Matti; van der Harst, Pim; Walker, Mark; Wallaschofski, Henri; Wareham, Nicholas J; Watkins, Hugh; Weir, David R; Wichmann, H-Erich; Wilson, James F; Zanen, Pieter; Borecki, Ingrid B; Deloukas, Panos; Fox, Caroline S; Heid, Iris M; O'Connell, Jeffrey R; Strachan, David P; Stefansson, Kari; van Duijn, Cornelia M; Abecasis, Gonçalo R; Franke, Lude; Frayling, Timothy M; McCarthy, Mark I; Visscher, Peter M; Scherag, André; Willer, Cristen J; Boehnke, Michael; Mohlke, Karen L; Lindgren, Cecilia M; Beckmann, Jacques S; Barroso, Inês; North, Kari E; Ingelsson, Erik; Hirschhorn, Joel N; Loos, Ruth J F; Speliotes, Elizabeth K

    2015-02-12

    Obesity is heritable and predisposes to many diseases. To understand the genetic basis of obesity better, here we conduct a genome-wide association study and Metabochip meta-analysis of body mass index (BMI), a measure commonly used to define obesity and assess adiposity, in up to 339,224 individuals. This analysis identifies 97 BMI-associated loci (P 20% of BMI variation. Pathway analyses provide strong support for a role of the central nervous system in obesity susceptibility and implicate new genes and pathways, including those related to synaptic function, glutamate signalling, insulin secretion/action, energy metabolism, lipid biology and adipogenesis.

  12. Genetic studies of body mass index yield new insights for obesity biology

    Science.gov (United States)

    Day, Felix R.; Powell, Corey; Vedantam, Sailaja; Buchkovich, Martin L.; Yang, Jian; Croteau-Chonka, Damien C.; Esko, Tonu; Fall, Tove; Ferreira, Teresa; Gustafsson, Stefan; Kutalik, Zoltán; Luan, Jian’an; Mägi, Reedik; Randall, Joshua C.; Winkler, Thomas W.; Wood, Andrew R.; Workalemahu, Tsegaselassie; Faul, Jessica D.; Smith, Jennifer A.; Zhao, Jing Hua; Zhao, Wei; Chen, Jin; Fehrmann, Rudolf; Hedman, Åsa K.; Karjalainen, Juha; Schmidt, Ellen M.; Absher, Devin; Amin, Najaf; Anderson, Denise; Beekman, Marian; Bolton, Jennifer L.; Bragg-Gresham, Jennifer L.; Buyske, Steven; Demirkan, Ayse; Deng, Guohong; Ehret, Georg B.; Feenstra, Bjarke; Feitosa, Mary F.; Fischer, Krista; Goel, Anuj; Gong, Jian; Jackson, Anne U.; Kanoni, Stavroula; Kleber, Marcus E.; Kristiansson, Kati; Lim, Unhee; Lotay, Vaneet; Mangino, Massimo; Leach, Irene Mateo; Medina-Gomez, Carolina; Medland, Sarah E.; Nalls, Michael A.; Palmer, Cameron D.; Pasko, Dorota; Pechlivanis, Sonali; Peters, Marjolein J.; Prokopenko, Inga; Shungin, Dmitry; Stančáková, Alena; Strawbridge, Rona J.; Sung, Yun Ju; Tanaka, Toshiko; Teumer, Alexander; Trompet, Stella; van der Laan, Sander W.; van Setten, Jessica; Van Vliet-Ostaptchouk, Jana V.; Wang, Zhaoming; Yengo, Loïc; Zhang, Weihua; Isaacs, Aaron; Albrecht, Eva; Ärnlöv, Johan; Arscott, Gillian M.; Attwood, Antony P.; Bandinelli, Stefania; Barrett, Amy; Bas, Isabelita N.; Bellis, Claire; Bennett, Amanda J.; Berne, Christian; Blagieva, Roza; Blüher, Matthias; Böhringer, Stefan; Bonnycastle, Lori L.; Böttcher, Yvonne; Boyd, Heather A.; Bruinenberg, Marcel; Caspersen, Ida H.; Chen, Yii-Der Ida; Clarke, Robert; Daw, E. Warwick; de Craen, Anton J. M.; Delgado, Graciela; Dimitriou, Maria; Doney, Alex S. F.; Eklund, Niina; Estrada, Karol; Eury, Elodie; Folkersen, Lasse; Fraser, Ross M.; Garcia, Melissa E.; Geller, Frank; Giedraitis, Vilmantas; Gigante, Bruna; Go, Alan S.; Golay, Alain; Goodall, Alison H.; Gordon, Scott D.; Gorski, Mathias; Grabe, Hans-Jörgen; Grallert, Harald; Grammer, Tanja B.; Gräßler, Jürgen; Grönberg, Henrik; Groves, Christopher J.; Gusto, Gaëlle; Haessler, Jeffrey; Hall, Per; Haller, Toomas; Hallmans, Goran; Hartman, Catharina A.; Hassinen, Maija; Hayward, Caroline; Heard-Costa, Nancy L.; Helmer, Quinta; Hengstenberg, Christian; Holmen, Oddgeir; Hottenga, Jouke-Jan; James, Alan L.; Jeff, Janina M.; Johansson, Åsa; Jolley, Jennifer; Juliusdottir, Thorhildur; Kinnunen, Leena; Koenig, Wolfgang; Koskenvuo, Markku; Kratzer, Wolfgang; Laitinen, Jaana; Lamina, Claudia; Leander, Karin; Lee, Nanette R.; Lichtner, Peter; Lind, Lars; Lindström, Jaana; Lo, Ken Sin; Lobbens, Stéphane; Lorbeer, Roberto; Lu, Yingchang; Mach, François; Magnusson, Patrik K. E.; Mahajan, Anubha; McArdle, Wendy L.; McLachlan, Stela; Menni, Cristina; Merger, Sigrun; Mihailov, Evelin; Milani, Lili; Moayyeri, Alireza; Monda, Keri L.; Morken, Mario A.; Mulas, Antonella; Müller, Gabriele; Müller-Nurasyid, Martina; Musk, Arthur W.; Nagaraja, Ramaiah; Nöthen, Markus M.; Nolte, Ilja M.; Pilz, Stefan; Rayner, Nigel W.; Renstrom, Frida; Rettig, Rainer; Ried, Janina S.; Ripke, Stephan; Robertson, Neil R.; Rose, Lynda M.; Sanna, Serena; Scharnagl, Hubert; Scholtens, Salome; Schumacher, Fredrick R.; Scott, William R.; Seufferlein, Thomas; Shi, Jianxin; Smith, Albert Vernon; Smolonska, Joanna; Stanton, Alice V.; Steinthorsdottir, Valgerdur; Stirrups, Kathleen; Stringham, Heather M.; Sundström, Johan; Swertz, Morris A.; Swift, Amy J.; Syvänen, Ann-Christine; Tan, Sian-Tsung; Tayo, Bamidele O.; Thorand, Barbara; Thorleifsson, Gudmar; Tyrer, Jonathan P.; Uh, Hae-Won; Vandenput, Liesbeth; Verhulst, Frank C.; Vermeulen, Sita H.; Verweij, Niek; Vonk, Judith M.; Waite, Lindsay L.; Warren, Helen R.; Waterworth, Dawn; Weedon, Michael N.; Wilkens, Lynne R.; Willenborg, Christina; Wilsgaard, Tom; Wojczynski, Mary K.; Wong, Andrew; Wright, Alan F.; Zhang, Qunyuan; Brennan, Eoin P.; Choi, Murim; Dastani, Zari; Drong, Alexander W.; Eriksson, Per; Franco-Cereceda, Anders; Gådin, Jesper R.; Gharavi, Ali G.; Goddard, Michael E.; Handsaker, Robert E.; Huang, Jinyan; Karpe, Fredrik; Kathiresan, Sekar; Keildson, Sarah; Kiryluk, Krzysztof; Kubo, Michiaki; Lee, Jong-Young; Liang, Liming; Lifton, Richard P.; Ma, Baoshan; McCarroll, Steven A.; McKnight, Amy J.; Min, Josine L.; Moffatt, Miriam F.; Montgomery, Grant W.; Murabito, Joanne M.; Nicholson, George; Nyholt, Dale R.; Okada, Yukinori; Perry, John R. B.; Dorajoo, Rajkumar; Reinmaa, Eva; Salem, Rany M.; Sandholm, Niina; Scott, Robert A.; Stolk, Lisette; Takahashi, Atsushi; Tanaka, Toshihiro; van ’t Hooft, Ferdinand M.; Vinkhuyzen, Anna A. E.; Westra, Harm-Jan; Zheng, Wei; Zondervan, Krina T.; Heath, Andrew C.; Arveiler, Dominique; Bakker, Stephan J. L.; Beilby, John; Bergman, Richard N.; Blangero, John; Bovet, Pascal; Campbell, Harry; Caulfield, Mark J.; Cesana, Giancarlo; Chakravarti, Aravinda; Chasman, Daniel I.; Chines, Peter S.; Collins, Francis S.; Crawford, Dana C.; Cupples, L. Adrienne; Cusi, Daniele; Danesh, John; de Faire, Ulf; den Ruijter, Hester M.; Dominiczak, Anna F.; Erbel, Raimund; Erdmann, Jeanette; Eriksson, Johan G.; Farrall, Martin; Felix, Stephan B.; Ferrannini, Ele; Ferrières, Jean; Ford, Ian; Forouhi, Nita G.; Forrester, Terrence; Franco, Oscar H.; Gansevoort, Ron T.; Gejman, Pablo V.; Gieger, Christian; Gottesman, Omri; Gudnason, Vilmundur; Gyllensten, Ulf; Hall, Alistair S.; Harris, Tamara B.; Hattersley, Andrew T.; Hicks, Andrew A.; Hindorff, Lucia A.; Hingorani, Aroon D.; Hofman, Albert; Homuth, Georg; Hovingh, G. Kees; Humphries, Steve E.; Hunt, Steven C.; Hyppönen, Elina; Illig, Thomas; Jacobs, Kevin B.; Jarvelin, Marjo-Riitta; Jöckel, Karl-Heinz; Johansen, Berit; Jousilahti, Pekka; Jukema, J. Wouter; Jula, Antti M.; Kaprio, Jaakko; Kastelein, John J. P.; Keinanen-Kiukaanniemi, Sirkka M.; Kiemeney, Lambertus A.; Knekt, Paul; Kooner, Jaspal S.; Kooperberg, Charles; Kovacs, Peter; Kraja, Aldi T.; Kumari, Meena; Kuusisto, Johanna; Lakka, Timo A.; Langenberg, Claudia; Marchand, Loic Le; Lehtimäki, Terho; Lyssenko, Valeriya; Männistö, Satu; Marette, André; Matise, Tara C.; McKenzie, Colin A.; McKnight, Barbara; Moll, Frans L.; Morris, Andrew D.; Morris, Andrew P.; Murray, Jeffrey C.; Nelis, Mari; Ohlsson, Claes; Oldehinkel, Albertine J.; Ong, Ken K.; Madden, Pamela A. F.; Pasterkamp, Gerard; Peden, John F.; Peters, Annette; Postma, Dirkje S.; Pramstaller, Peter P.; Price, Jackie F.; Qi, Lu; Raitakari, Olli T.; Rankinen, Tuomo; Rao, D. C.; Rice, Treva K.; Ridker, Paul M.; Rioux, John D.; Ritchie, Marylyn D.; Rudan, Igor; Salomaa, Veikko; Samani, Nilesh J.; Saramies, Jouko; Sarzynski, Mark A.; Schunkert, Heribert; Schwarz, Peter E. H.; Sever, Peter; Shuldiner, Alan R.; Sinisalo, Juha; Stolk, Ronald P.; Strauch, Konstantin; Tönjes, Anke; Trégouët, David-Alexandre; Tremblay, Angelo; Tremoli, Elena; Virtamo, Jarmo; Vohl, Marie-Claude; Völker, Uwe; Waeber, Gérard; Willemsen, Gonneke; Witteman, Jacqueline C.; Zillikens, M. Carola; Adair, Linda S.; Amouyel, Philippe; Asselbergs, Folkert W.; Assimes, Themistocles L.; Bochud, Murielle; Boehm, Bernhard O.; Boerwinkle, Eric; Bornstein, Stefan R.; Bottinger, Erwin P.; Bouchard, Claude; Cauchi, Stéphane; Chambers, John C.; Chanock, Stephen J.; Cooper, Richard S.; de Bakker, Paul I. W.; Dedoussis, George; Ferrucci, Luigi; Franks, Paul W.; Froguel, Philippe; Groop, Leif C.; Haiman, Christopher A.; Hamsten, Anders; Hui, Jennie; Hunter, David J.; Hveem, Kristian; Kaplan, Robert C.; Kivimaki, Mika; Kuh, Diana; Laakso, Markku; Liu, Yongmei; Martin, Nicholas G.; März, Winfried; Melbye, Mads; Metspalu, Andres; Moebus, Susanne; Munroe, Patricia B.; Njølstad, Inger; Oostra, Ben A.; Palmer, Colin N. A.; Pedersen, Nancy L.; Perola, Markus; Pérusse, Louis; Peters, Ulrike; Power, Chris; Quertermous, Thomas; Rauramaa, Rainer; Rivadeneira, Fernando; Saaristo, Timo E.; Saleheen, Danish; Sattar, Naveed; Schadt, Eric E.; Schlessinger, David; Slagboom, P. Eline; Snieder, Harold; Spector, Tim D.; Thorsteinsdottir, Unnur; Stumvoll, Michael; Tuomilehto, Jaakko; Uitterlinden, André G.; Uusitupa, Matti; van der Harst, Pim; Walker, Mark; Wallaschofski, Henri; Wareham, Nicholas J.; Watkins, Hugh; Weir, David R.; Wichmann, H-Erich; Wilson, James F.; Zanen, Pieter; Borecki, Ingrid B.; Deloukas, Panos; Fox, Caroline S.; Heid, Iris M.; O’Connell, Jeffrey R.; Strachan, David P.; Stefansson, Kari; van Duijn, Cornelia M.; Abecasis, Gonçalo R.; Franke, Lude; Frayling, Timothy M.; McCarthy, Mark I.; Visscher, Peter M.; Scherag, André; Willer, Cristen J.; Boehnke, Michael; Mohlke, Karen L.; Lindgren, Cecilia M.; Beckmann, Jacques S.; Barroso, Inês; North, Kari E.; Ingelsson, Erik; Hirschhorn, Joel N.; Loos, Ruth J. F.; Speliotes, Elizabeth K.

    2015-01-01

    Obesity is heritable and predisposes to many diseases. To understand the genetic basis of obesity better, here we conduct a genome-wide association study and Metabochip meta-analysis of body mass index (BMI), a measure commonly used to define obesity and assess adiposity, in up to 339,224 individuals. This analysis identifies 97 BMI-associated loci (P 20% of BMI variation. Pathway analyses provide strong support for a role of the central nervous system in obesity susceptibility and implicate new genes and pathways, including those related to synaptic function, glutamate signalling, insulin secretion/action, energy metabolism, lipid biology and adipogenesis. PMID:25673413

  13. Surface analysis and techniques in biology

    CERN Document Server

    Smentkowski, Vincent S

    2014-01-01

    This book highlights state-of-the-art surface analytical instrumentation, advanced data analysis tools, and the use of complimentary surface analytical instrumentation to perform a complete analysis of biological systems.

  14. The Effects of Meiosis/Genetics Integration and Instructional Sequence on College Biology Student Achievement in Genetics.

    Science.gov (United States)

    Browning, Mark

    The purpose of the research was to manipulate two aspects of genetics instruction in order to measure their effects on college, introductory biology students' achievement in genetics. One instructional sequence that was used dealt first with monohybrid autosomal inheritance patterns, then sex-linkage. The alternate sequence was the reverse.…

  15. Teaching molecular genetics: Chapter 1--Background principles and methods of molecular biology.

    NARCIS (Netherlands)

    Knoers, N.V.A.M.; Monnens, L.A.H.

    2006-01-01

    In this first chapter of the series "Teaching molecular genetics," an introduction to molecular genetics is presented. We describe the structure of DNA and genes and explain in detail the central dogma of molecular biology, that is, the flow of genetic information from DNA via RNA to polypeptide

  16. Awareness of Societal Issues among High School Biology Teachers Teaching Genetics

    Science.gov (United States)

    Lazarowitz, Reuven; Bloch, Ilit

    2005-01-01

    The purpose of this study was to investigate how aware high school biology teachers are of societal issues (values, moral, ethic, and legal issues) while teaching genetics, genetics engineering, molecular genetics, human heredity, and evolution. The study includes a short historical review of World War II atrocities during the Holocaust when…

  17. Genetic analysis of Schizosaccharomyces pombe

    DEFF Research Database (Denmark)

    Ekwall, Karl; Thon, Genevieve

    2017-01-01

    In this introduction we discuss some basic genetic tools and techniques that are used with the fission yeast Schizosaccharomyces pombe. Genes commonly used for selection or as reporters are discussed, with an emphasis on genes that permit counterselection, intragenic complementation, or colony......-color assays. S. pombe is most stable as a haploid organism. We describe its mating-type system, how to perform genetic crosses and methods for selecting and propagating diploids. We discuss the relative merits of tetrad dissection and random spore preparation in strain construction and genetic analyses...

  18. A Genetic Analysis of Crystal Growth

    DEFF Research Database (Denmark)

    Brown, Stanley; Sarikaya, Mehmet; Johnson, E.

    2000-01-01

    The regulation of crystal morphology by proteins is often observed in biology. It is a central feature in the formation of hard tissues such as bones, teeth and mollusc shells. We have developed a genetic system in the bacterium Escherichia coli to study the protein-mediated control of crystal...

  19. Access to genetic resources in indigenous peoples and the Convention on Biological Diversity

    Directory of Open Access Journals (Sweden)

    Diana Rocío Bernal Camargo

    2013-06-01

    Full Text Available After the Convention on Biological Diversity a deepening debate is taking place concerning the protection of genetic resources and traditional knowledge of indigenous peoples, which involves a discussion about the application of biotechnology and its impact on the protection of life and environment, and an analysis of the participation of these in the process of developing strategies to protect their resources and traditional knowledge, which gives rise to legal pluralism from the development of the different Conferences of the Parties, which today allows for a more comprehensive regulatory framework and a possibility of its strengthening.

  20. The biology and potential for genetic research of transposable elements in filamentous fungi

    Directory of Open Access Journals (Sweden)

    Léia Cecilia de Lima Fávaro

    2005-12-01

    Full Text Available Recently many transposable elements have been identified and characterized in filamentous fungi, especially in species of agricultural, biotechnological and medical interest. Similar to the elements found in other eukaryotes, fungal transposons can be classified as class I elements (retrotransposons that use RNA and reverse transcriptase and class II elements (DNA transposons that use DNA. The changes (transposition and recombination caused by transposons can supply wide-ranging genetic variation, especially for species that do not have a sexual phase. The application of transposable elements to gene isolation and population analysis is an important tool for molecular biology and studies of fungal evolution.

  1. Mouse Genome Informatics (MGI) Resource: Genetic, Genomic, and Biological Knowledgebase for the Laboratory Mouse.

    Science.gov (United States)

    Eppig, Janan T

    2017-07-01

    The Mouse Genome Informatics (MGI) Resource supports basic, translational, and computational research by providing high-quality, integrated data on the genetics, genomics, and biology of the laboratory mouse. MGI serves a strategic role for the scientific community in facilitating biomedical, experimental, and computational studies investigating the genetics and processes of diseases and enabling the development and testing of new disease models and therapeutic interventions. This review describes the nexus of the body of growing genetic and biological data and the advances in computer technology in the late 1980s, including the World Wide Web, that together launched the beginnings of MGI. MGI develops and maintains a gold-standard resource that reflects the current state of knowledge, provides semantic and contextual data integration that fosters hypothesis testing, continually develops new and improved tools for searching and analysis, and partners with the scientific community to assure research data needs are met. Here we describe one slice of MGI relating to the development of community-wide large-scale mutagenesis and phenotyping projects and introduce ways to access and use these MGI data. References and links to additional MGI aspects are provided. © The Author 2017. Published by Oxford University Press.

  2. Integrative biological analysis for neuropsychopharmacology.

    Science.gov (United States)

    Emmett, Mark R; Kroes, Roger A; Moskal, Joseph R; Conrad, Charles A; Priebe, Waldemar; Laezza, Fernanda; Meyer-Baese, Anke; Nilsson, Carol L

    2014-01-01

    Although advances in psychotherapy have been made in recent years, drug discovery for brain diseases such as schizophrenia and mood disorders has stagnated. The need for new biomarkers and validated therapeutic targets in the field of neuropsychopharmacology is widely unmet. The brain is the most complex part of human anatomy from the standpoint of number and types of cells, their interconnections, and circuitry. To better meet patient needs, improved methods to approach brain studies by understanding functional networks that interact with the genome are being developed. The integrated biological approaches--proteomics, transcriptomics, metabolomics, and glycomics--have a strong record in several areas of biomedicine, including neurochemistry and neuro-oncology. Published applications of an integrated approach to projects of neurological, psychiatric, and pharmacological natures are still few but show promise to provide deep biological knowledge derived from cells, animal models, and clinical materials. Future studies that yield insights based on integrated analyses promise to deliver new therapeutic targets and biomarkers for personalized medicine.

  3. Analysis of genetic diversity inpigeonpeagermplasm using ...

    Indian Academy of Sciences (India)

    Navya

    2016-11-25

    Nov 25, 2016 ... accessions from Orissa (105) and AP (15) do not group with any Indian accessions. ... In the present work, comparison between SSAP and REMAP revealed ... (sequence-specific amplified polymorphism) for genetic analysis of sweet potato. ... Sharma,V.and Nandinemi, M.R. 2014 Assessment of genetic ...

  4. Gene set analysis for interpreting genetic studies

    DEFF Research Database (Denmark)

    Pers, Tune H

    2016-01-01

    Interpretation of genome-wide association study (GWAS) results is lacking behind the discovery of new genetic associations. Consequently, there is an urgent need for data-driven methods for interpreting genetic association studies. Gene set analysis (GSA) can identify aetiologic pathways...

  5. Developments in statistical analysis in quantitative genetics

    DEFF Research Database (Denmark)

    Sorensen, Daniel

    2009-01-01

    of genetic means and variances, models for the analysis of categorical and count data, the statistical genetics of a model postulating that environmental variance is partly under genetic control, and a short discussion of models that incorporate massive genetic marker information. We provide an overview......A remarkable research impetus has taken place in statistical genetics since the last World Conference. This has been stimulated by breakthroughs in molecular genetics, automated data-recording devices and computer-intensive statistical methods. The latter were revolutionized by the bootstrap...... and by Markov chain Monte Carlo (McMC). In this overview a number of specific areas are chosen to illustrate the enormous flexibility that McMC has provided for fitting models and exploring features of data that were previously inaccessible. The selected areas are inferences of the trajectories over time...

  6. Sparse redundancy analysis of high-dimensional genetic and genomic data

    NARCIS (Netherlands)

    Csala, Attila; Voorbraak, Frans P. J. M.; Zwinderman, Aeilko H.; Hof, Michel H.

    2017-01-01

    Motivation: Recent technological developments have enabled the possibility of genetic and genomic integrated data analysis approaches, where multiple omics datasets from various biological levels are combined and used to describe (disease) phenotypic variations. The main goal is to explain and

  7. The Analysis of Polyploid Genetic Data.

    Science.gov (United States)

    Meirmans, Patrick G; Liu, Shenglin; van Tienderen, Peter H

    2018-03-16

    Though polyploidy is an important aspect of the evolutionary genetics of both plants and animals, the development of population genetic theory of polyploids has seriously lagged behind that of diploids. This is unfortunate since the analysis of polyploid genetic data-and the interpretation of the results-requires even more scrutiny than with diploid data. This is because of several polyploidy-specific complications in segregation and genotyping such as tetrasomy, double reduction, and missing dosage information. Here, we review the theoretical and statistical aspects of the population genetics of polyploids. We discuss several widely used types of inferences, including genetic diversity, Hardy-Weinberg equilibrium, population differentiation, genetic distance, and detecting population structure. For each, we point out how the statistical approach, expected result, and interpretation differ between different ploidy levels. We also discuss for each type of inference what biases may arise from the polyploid-specific complications and how these biases can be overcome. From our overview, it is clear that the statistical toolbox that is available for the analysis of genetic data is flexible and still expanding. Modern sequencing techniques will soon be able to overcome some of the current limitations to the analysis of polyploid data, though the techniques are lagging behind those available for diploids. Furthermore, the availability of more data may aggravate the biases that can arise, and increase the risk of false inferences. Therefore, simulations such as we used throughout this review are an important tool to verify the results of analyses of polyploid genetic data.

  8. Genetic analysis in Bartter syndrome from India.

    Science.gov (United States)

    Sharma, Pradeep Kumar; Saikia, Bhaskar; Sharma, Rachna; Ankur, Kumar; Khilnani, Praveen; Aggarwal, Vinay Kumar; Cheong, Hae

    2014-10-01

    Bartter syndrome is a group of inherited, salt-losing tubulopathies presenting as hypokalemic metabolic alkalosis with normotensive hyperreninemia and hyperaldosteronism. Around 150 cases have been reported in literature till now. Mutations leading to salt losing tubulopathies are not routinely tested in Indian population. The authors have done the genetic analysis for the first time in the Bartter syndrome on two cases from India. First case was antenatal Bartter syndrome presenting with massive polyuria and hyperkalemia. Mutational analysis revealed compound heterozygous mutations in KCNJ1(ROMK) gene [p(Leu220Phe), p(Thr191Pro)]. Second case had a phenotypic presentation of classical Bartter syndrome however, genetic analysis revealed only heterozygous novel mutation in SLC12A gene p(Ala232Thr). Bartter syndrome is a clinical diagnosis and genetic analysis is recommended for prognostication and genetic counseling.

  9. Contribution of genetics and genomics to seagrass biology and conservation

    NARCIS (Netherlands)

    Procaccini, Gabriele; Olsen, Jeanine L.; Reusch, Thorsten B. H.

    2007-01-01

    Genetic diversity is one of three forms of biodiversity recognized by the IUCN as deserving conservation along with species and ecosystems. Seagrasses provide all three levels in one. This review addresses the latest advances in our understanding of seagrass population genetics and genomics within

  10. Biological pathways and genetic variables involved in pain

    NARCIS (Netherlands)

    Shi, Qiuling; Cleeland, Charles S.; Klepstad, Pål; Miaskowski, Christine; Pedersen, Nancy L.; Abernethy, Amy P.; Baas, Frank; Barsevick, Andrea M.; Bartels, Meike; Boomsma, Dorret I.; Chauhan, Cynthia; Dueck, Amylou C.; Frost, Marlene H.; Hall, Per; Halyard, Michele Y.; Martin, Nicholas G.; Mosing, Miriam; Movsas, Benjamin; van Noorden, Cornelis J. F.; Patrick, Donald L.; Ropka, Mary E.; Shinozaki, Gen; Singh, Jasvinder A.; Sloan, Jeff A.; Sprangers, Mirjam A. G.; Veenhoven, Ruut; Yang, Ping; Zwinderman, Ailko H.

    2010-01-01

    Purpose This paper summarizes current knowledge of pain-related and analgesic-related pathways as well as genetic variations involved in pain perception and management. Methods The pain group of the GENEQOL Consortium was given the task of summarizing the current status of research on genetic

  11. Genetic analysis of rare disorders

    DEFF Research Database (Denmark)

    van den Berg, Stéphanie M; von Bornemann Hjelmborg, Jacob

    2012-01-01

    Twin concordance rates provide insight into the possibility of a genetic background for a disease. These concordance rates are usually estimated within a frequentistic framework. Here we take a Bayesian approach. For rare diseases, estimation methods based on asymptotic theory cannot be applied due....... The Bayesian method is able to include prior information on both concordance rates and prevalence rates at the same time and is illustrated using twin data on cleft lip and rheumatoid arthritis....

  12. Biological analysis with a nuclear microprobe

    International Nuclear Information System (INIS)

    Cookson, J.A.; Legge, G.J.F.

    1975-01-01

    Most low-energy nuclear accelerators are now partly used on analytical studies in support of sciences other than nuclear physics. This paper gives a short review of such analytical techniques (X-ray analysis, elastic scattering analysis, nuclear reaction analysis, and the nuclear microprobe) with particular reference to biological applications and also emphasizes the role of the positional analysis that can be performed with a focused beam of ions - the nuclear microprobe. (author)

  13. Integrated analysis of genetic data with R

    Directory of Open Access Journals (Sweden)

    Zhao Jing

    2006-01-01

    Full Text Available Abstract Genetic data are now widely available. There is, however, an apparent lack of concerted effort to produce software systems for statistical analysis of genetic data compared with other fields of statistics. It is often a tremendous task for end-users to tailor them for particular data, especially when genetic data are analysed in conjunction with a large number of covariates. Here, R http://www.r-project.org, a free, flexible and platform-independent environment for statistical modelling and graphics is explored as an integrated system for genetic data analysis. An overview of some packages currently available for analysis of genetic data is given. This is followed by examples of package development and practical applications. With clear advantages in data management, graphics, statistical analysis, programming, internet capability and use of available codes, it is a feasible, although challenging, task to develop it into an integrated platform for genetic analysis; this will require the joint efforts of many researchers.

  14. An analysis of food irradiation : genetic effects

    International Nuclear Information System (INIS)

    MacPhee, D.; Hall, W.

    1988-01-01

    A series of studies undertaken at the National Institute of Nutrition (NIN) in India in the 1970s reported the occurrence of polyploidy in bone-marrow or peripheral lymphocytes in a number of species, including children, fed on freshly irradiated wheat. Opponents of food irradiation use these studies as evidence that genetic damage is caused by the consumption of irradiated food. This review of those NIN studies and of the attempts to replicate them and of two other relevant studies concludes that the claim that consumption of irradiated food causes genetic damage has not been substantiated. Other researchers have been unable to replicate the NIN studies. Polyploidy appears to be a poor indicator of genetic damage and the NIN results are biologically implausible

  15. Investigating the genetic and epigenetic basis of big biological ...

    Indian Academy of Sciences (India)

    Günter Vogt

    2018-02-14

    Feb 14, 2018 ... advantage of producing high numbers of genetically identi- cal offspring. ..... For net culture, small containers should be filled to a water level of about ...... The availability of the genome of marbled crayfish now enables further ...

  16. Analysis of genetic variation in different sheep breeds using ...

    African Journals Online (AJOL)

    SERVER

    2008-04-17

    Apr 17, 2008 ... Department of Cell Biology, Genetic Engineering Division, National Research Center, Dokki, Giza, .... polymerase chain reaction (PCR) using genomic DNA extracted ..... Technology, Egypt through the project titled "Genetic.

  17. Does Biology Justify Ideology? The Politics of Genetic Attribution

    Science.gov (United States)

    Suhay, Elizabeth; Jayaratne, Toby Epstein

    2013-01-01

    Conventional wisdom suggests that political conservatives are more likely than liberals to endorse genetic explanations for many human characteristics and behaviors. Whether and to what extent this is true has received surprisingly limited systematic attention. We examine evidence from a large U.S. public opinion survey that measured the extent to which respondents believed genetic explanations account for a variety of differences among individuals as well as groups in society. We find that conservatives were indeed more likely than liberals to endorse genetic explanations for perceived race and class differences in characteristics often associated with socioeconomic inequality (intelligence, math skills, drive, and violence). Different ideological divisions emerged, however, with respect to respondents’ explanations for sexual orientation. Here, liberals were more likely than conservatives to say that sexual orientation is due to genes and less likely to say that it is due to choice or the environment. These patterns suggest that conservative and liberal ideologues will tend to endorse genetic explanations where their policy positions are bolstered by “naturalizing” human differences. That said, debates over genetic influence may be more politicized with respect to race, class, and sexual orientation than population differences generally: We find that left/right political ideology was not significantly associated with genetic (or other) attributions for individual differences in intelligence, math skills, drive, or violence. We conclude that conceptions of the proper role of government are closely intertwined with assumptions about the causes of human difference, but that this relationship is a complex one. PMID:26379311

  18. Genetic analysis of Mexican Criollo cattle populations.

    Science.gov (United States)

    Ulloa-Arvizu, R; Gayosso-Vázquez, A; Ramos-Kuri, M; Estrada, F J; Montaño, M; Alonso, R A

    2008-10-01

    The objective of this study was to evaluate the genetic structure of Mexican Criollo cattle populations using microsatellite genetic markers. DNA samples were collected from 168 animals from four Mexican Criollo cattle populations, geographically isolated in remote areas of Sierra Madre Occidental (West Highlands). Also were included samples from two breeds with Iberian origin: the fighting bull (n = 24) and the milking central American Criollo (n = 24) and one Asiatic breed: Guzerat (n = 32). Genetic analysis consisted of the estimation of the genetic diversity in each population by the allele number and the average expected heterozygosity found in nine microsatellite loci. Furthermore, genetic relationships among the populations were defined by their genetic distances. Our data shows that Mexican cattle populations have a relatively high level of genetic diversity based either on the mean number of alleles (10.2-13.6) and on the expected heterozygosity (0.71-0.85). The degree of observed homozygosity within the Criollo populations was remarkable and probably caused by inbreeding (reduced effective population size) possibly due to reproductive structure within populations. Our data shows that considerable genetic differentiation has been occurred among the Criollo cattle populations in different regions of Mexico.

  19. Applications of Systems Genetics and Biology for Obesity Using Pig Models

    DEFF Research Database (Denmark)

    Kogelman, Lisette; Kadarmideen, Haja N.

    2016-01-01

    approach, a branch of systems biology. In this chapter, we will describe the state of the art of genetic studies on human obesity, using pig populations. We will describe the features of using the pig as a model for human obesity and briefly discuss the genetics of obesity, and we will focus on systems...

  20. Teaching molecular genetics: Chapter 1--Background principles and methods of molecular biology.

    Science.gov (United States)

    Knoers, Nine V A M; Monnens, Leo A H

    2006-02-01

    In this first chapter of the series "Teaching molecular genetics," an introduction to molecular genetics is presented. We describe the structure of DNA and genes and explain in detail the central dogma of molecular biology, that is, the flow of genetic information from DNA via RNA to polypeptide (protein). In addition, several basic and frequently used general molecular tools, such as restriction enzymes, Southern blotting, DNA amplification and sequencing are discussed, in order to lay the foundations for the forthcoming chapters.

  1. Expertise for Teaching Biology Situated in the Context of Genetic Testing

    Science.gov (United States)

    Van der Zande, Paul; Akkerman, Sanne F.; Brekelmans, Mieke; Waarlo, Arend Jan; Vermunt, Jan D.

    2012-07-01

    Contemporary genomics research will impact the daily practice of biology teachers who want to teach up-to-date genetics in secondary education. This article reports on a research project aimed at enhancing biology teachers' expertise for teaching genetics situated in the context of genetic testing. The increasing body of scientific knowledge concerning genetic testing and the related consequences for decision-making indicate the societal relevance of an educational approach based on situated learning. What expertise do biology teachers need for teaching genetics in the personal health context of genetic testing? This article describes the required expertise by exploring the educational practice. Nine experienced teachers were interviewed about the pedagogical content, moral and interpersonal expertise areas concerning how to teach genetics in the personal health context of genetic testing, and the lessons of five of them were observed. The findings showed that the required teacher expertise encompasses specific pedagogical content expertise, interpersonal expertise and a preference for teacher roles and teaching approaches for the moral aspects of teaching in this context. A need for further development of teaching and learning activities for (reflection on) moral reasoning came to the fore. Suggestions regarding how to apply this expertise into context-based genetics education are discussed.

  2. Genetic divergence analysis in pumpkin

    International Nuclear Information System (INIS)

    Quamruzzaman, A.M.; Moniruzzaman, M.

    2013-01-01

    Genetic divergence among 18 punpkin genotypes was estimated using Mahalanohis's 1) statistic. Altogether lour clusters were formed where cluster I contained the highest number of genotypes (8) and cluster II contained the lowest (I). The highest intra-cluster distance was observed h.ir cluster I (0.83 I) and the lowest for clustcr IV (0.65 I). The highest inter-cluster distance was observed between cluster I and 11(24.346). Cluster II recorded the highest mean for fruit number/plant, TSS, fruit yield and niinitnuiii III cavity length and cavity diameter. Cluster III had the second highest mean for fruit diameter, fruit number/plant, individual unit weight, fruit yield and the fewest number of days to 1st Female flowering, earliness being a desirable trait. These crosses may produce new recombinants with desirable traits. (author)

  3. Smoking and caffeine consumption: a genetic analysis of their association.

    Science.gov (United States)

    Treur, Jorien L; Taylor, Amy E; Ware, Jennifer J; Nivard, Michel G; Neale, Michael C; McMahon, George; Hottenga, Jouke-Jan; Baselmans, Bart M L; Boomsma, Dorret I; Munafò, Marcus R; Vink, Jacqueline M

    2017-07-01

    Smoking and caffeine consumption show a strong positive correlation, but the mechanism underlying this association is unclear. Explanations include shared genetic/environmental factors or causal effects. This study employed three methods to investigate the association between smoking and caffeine. First, bivariate genetic models were applied to data of 10 368 twins from the Netherlands Twin Register in order to estimate genetic and environmental correlations between smoking and caffeine use. Second, from the summary statistics of meta-analyses of genome-wide association studies on smoking and caffeine, the genetic correlation was calculated by LD-score regression. Third, causal effects were tested using Mendelian randomization analysis in 6605 Netherlands Twin Register participants and 5714 women from the Avon Longitudinal Study of Parents and Children. Through twin modelling, a genetic correlation of r0.47 and an environmental correlation of r0.30 were estimated between current smoking (yes/no) and coffee use (high/low). Between current smoking and total caffeine use, this was r0.44 and r0.00, respectively. LD-score regression also indicated sizeable genetic correlations between smoking and coffee use (r0.44 between smoking heaviness and cups of coffee per day, r0.28 between smoking initiation and coffee use and r0.25 between smoking persistence and coffee use). Consistent with the relatively high genetic correlations and lower environmental correlations, Mendelian randomization provided no evidence for causal effects of smoking on caffeine or vice versa. Genetic factors thus explain most of the association between smoking and caffeine consumption. These findings suggest that quitting smoking may be more difficult for heavy caffeine consumers, given their genetic susceptibility. © 2016 The Authors.Addiction Biology published by John Wiley & Sons Ltd on behalf of Society for the Study of Addiction.

  4. A roadmap for the genetic analysis of renal aging

    Science.gov (United States)

    Noordmans, Gerda A; Hillebrands, Jan-Luuk; van Goor, Harry; Korstanje, Ron

    2015-01-01

    Several studies show evidence for the genetic basis of renal disease, which renders some individuals more prone than others to accelerated renal aging. Studying the genetics of renal aging can help us to identify genes involved in this process and to unravel the underlying pathways. First, this opinion article will give an overview of the phenotypes that can be observed in age-related kidney disease. Accurate phenotyping is essential in performing genetic analysis. For kidney aging, this could include both functional and structural changes. Subsequently, this article reviews the studies that report on candidate genes associated with renal aging in humans and mice. Several loci or candidate genes have been found associated with kidney disease, but identification of the specific genetic variants involved has proven to be difficult. CUBN, UMOD, and SHROOM3 were identified by human GWAS as being associated with albuminuria, kidney function, and chronic kidney disease (CKD). These are promising examples of genes that could be involved in renal aging, and were further mechanistically evaluated in animal models. Eventually, we will provide approaches for performing genetic analysis. We should leverage the power of mouse models, as testing in humans is limited. Mouse and other animal models can be used to explain the underlying biological mechanisms of genes and loci identified by human GWAS. Furthermore, mouse models can be used to identify genetic variants associated with age-associated histological changes, of which Far2, Wisp2, and Esrrg are examples. A new outbred mouse population with high genetic diversity will facilitate the identification of genes associated with renal aging by enabling high-resolution genetic mapping while also allowing the control of environmental factors, and by enabling access to renal tissues at specific time points for histology, proteomics, and gene expression. PMID:26219736

  5. A roadmap for the genetic analysis of renal aging.

    Science.gov (United States)

    Noordmans, Gerda A; Hillebrands, Jan-Luuk; van Goor, Harry; Korstanje, Ron

    2015-10-01

    Several studies show evidence for the genetic basis of renal disease, which renders some individuals more prone than others to accelerated renal aging. Studying the genetics of renal aging can help us to identify genes involved in this process and to unravel the underlying pathways. First, this opinion article will give an overview of the phenotypes that can be observed in age-related kidney disease. Accurate phenotyping is essential in performing genetic analysis. For kidney aging, this could include both functional and structural changes. Subsequently, this article reviews the studies that report on candidate genes associated with renal aging in humans and mice. Several loci or candidate genes have been found associated with kidney disease, but identification of the specific genetic variants involved has proven to be difficult. CUBN, UMOD, and SHROOM3 were identified by human GWAS as being associated with albuminuria, kidney function, and chronic kidney disease (CKD). These are promising examples of genes that could be involved in renal aging, and were further mechanistically evaluated in animal models. Eventually, we will provide approaches for performing genetic analysis. We should leverage the power of mouse models, as testing in humans is limited. Mouse and other animal models can be used to explain the underlying biological mechanisms of genes and loci identified by human GWAS. Furthermore, mouse models can be used to identify genetic variants associated with age-associated histological changes, of which Far2, Wisp2, and Esrrg are examples. A new outbred mouse population with high genetic diversity will facilitate the identification of genes associated with renal aging by enabling high-resolution genetic mapping while also allowing the control of environmental factors, and by enabling access to renal tissues at specific time points for histology, proteomics, and gene expression. © 2015 The Authors. Aging Cell published by the Anatomical Society and John

  6. Biology of lung cancer: genetic mutation, epithelial-mesenchymal transition, and cancer stem cells.

    Science.gov (United States)

    Aoi, Takashi

    2016-09-01

    At present, most cases of unresectable cancer cannot be cured. Genetic mutations, EMT, and cancer stem cells are three major issues linked to poor prognosis in such cases, all connected by inter- and intra-tumor heterogeneity. Issues on inter-/intra-tumor heterogeneity of genetic mutation could be resolved with recent and future technologies of deep sequencers, whereas, regarding such issues as the "same genome, different epigenome/phenotype", we expect to solve many of these problems in the future through further research in stem cell biology. We herein review and discuss the three major issues in the biology of cancers, especially from the standpoint of stem cell biology.

  7. Improving microalgae for biotechnology - From genetics to synthetic biology

    Czech Academy of Sciences Publication Activity Database

    Hlavová, Monika; Turóczy, Zoltán; Bišová, Kateřina

    2015-01-01

    Roč. 33, č. 6 (2015), s. 1194-1203 ISSN 0734-9750 R&D Projects: GA MŠk EE2.3.30.0059; GA MŠk ED2.1.00/03.0110 Institutional support: RVO:61388971 Keywords : Microalgae * Genetics * Mutagenesis Subject RIV: EE - Microbiology, Virology Impact factor: 9.848, year: 2015

  8. Biology and genetics of oculocutaneous albinism and vitiligo ...

    African Journals Online (AJOL)

    Pigmentation disorders span the genetic spectrum from single-gene autosomal recessive disorders such as oculocutaneous albinism (OCA), the autosomal dominant disorder piebaldism to X-linked ocular albinism and multifactorial vitiligo. OCA connotes a group of disorders that result in hypopigmented skin due to ...

  9. Rapid Genetic Analysis in Congenital Hyperinsulinism

    DEFF Research Database (Denmark)

    Christesen, Henrik Thybo; Brusgaard, Klaus; Alm, Jan

    2007-01-01

    BACKGROUND: In severe, medically unresponsive congenital hyperinsulinism (CHI), the histological differentiation of focal versus diffuse disease is vital, since the surgical management is completely different. Genetic analysis may help in the differential diagnosis, as focal CHI is associated...... with a paternal germline ABCC8 or KCNJ11 mutation and a focal loss of maternal chromosome 11p15, whereas a maternal mutation, or homozygous/compound heterozygous ABCC8 and KCNJ11 mutations predict diffuse-type disease. However, genotyping usually takes too long to be helpful in the absence of a founder mutation....... METHODS: In 4 patients, a rapid genetic analysis of the ABBC8 and KCNJ11 genes was performed within 2 weeks on request prior to the decision of pancreatic surgery. RESULTS: Two patients had no mutations, rendering the genetic analysis non-informative. Peroperative multiple biopsies showed diffuse disease...

  10. The Mouse Lemur, a Genetic Model Organism for Primate Biology, Behavior, and Health.

    Science.gov (United States)

    Ezran, Camille; Karanewsky, Caitlin J; Pendleton, Jozeph L; Sholtz, Alex; Krasnow, Maya R; Willick, Jason; Razafindrakoto, Andriamahery; Zohdy, Sarah; Albertelli, Megan A; Krasnow, Mark A

    2017-06-01

    Systematic genetic studies of a handful of diverse organisms over the past 50 years have transformed our understanding of biology. However, many aspects of primate biology, behavior, and disease are absent or poorly modeled in any of the current genetic model organisms including mice. We surveyed the animal kingdom to find other animals with advantages similar to mice that might better exemplify primate biology, and identified mouse lemurs ( Microcebus spp.) as the outstanding candidate. Mouse lemurs are prosimian primates, roughly half the genetic distance between mice and humans. They are the smallest, fastest developing, and among the most prolific and abundant primates in the world, distributed throughout the island of Madagascar, many in separate breeding populations due to habitat destruction. Their physiology, behavior, and phylogeny have been studied for decades in laboratory colonies in Europe and in field studies in Malagasy rainforests, and a high quality reference genome sequence has recently been completed. To initiate a classical genetic approach, we developed a deep phenotyping protocol and have screened hundreds of laboratory and wild mouse lemurs for interesting phenotypes and begun mapping the underlying mutations, in collaboration with leading mouse lemur biologists. We also seek to establish a mouse lemur gene "knockout" library by sequencing the genomes of thousands of mouse lemurs to identify null alleles in most genes from the large pool of natural genetic variants. As part of this effort, we have begun a citizen science project in which students across Madagascar explore the remarkable biology around their schools, including longitudinal studies of the local mouse lemurs. We hope this work spawns a new model organism and cultivates a deep genetic understanding of primate biology and health. We also hope it establishes a new and ethical method of genetics that bridges biological, behavioral, medical, and conservation disciplines, while

  11. The impact of advances in human molecular biology on radiation genetic risk estimation in man

    International Nuclear Information System (INIS)

    Sankaranarayanan, K.

    1996-01-01

    This paper provides an overview of the conceptual framework, the data base, methods and assumptions used thus far to assess the genetic risks of exposure of human populations to ionising radiation. These are then re-examined in the contemporary context of the rapidly expanding knowledge of the molecular biology of human mendelian diseases. This re-examination reveals that (i) many of the assumptions used thus far in radiation genetic risk estimation may not be fully valid and (ii) the current genetic risk estimates are probably conservative, but provide an adequate margin of safety for radiological protection. The view is expressed that further advances in the field of genetic risk estimation will be largely driven by advances in the molecular biology of human genetic diseases. (author). 37 refs., 5 tabs

  12. An Introductory Review of Parallel Independent Component Analysis (p-ICA and a Guide to Applying p-ICA to Genetic Data and Imaging Phenotypes to Identify Disease-Associated Biological Pathways and Systems in Common Complex Disorders

    Directory of Open Access Journals (Sweden)

    Godfrey D Pearlson

    2015-09-01

    Full Text Available Complex inherited phenotypes, including those for many common medical and psychiatric diseases, are most likely underpinned by multiple genes contributing to interlocking molecular biological processes, along with environmental factors (Owen et al., 2010. Despite this, genotyping strategies for complex, inherited, disease-related phenotypes mostly employ univariate analyses, e.g. genome wide association (GWA. Such procedures most often identify isolated risk-related SNPs or loci, not the underlying biological pathways necessary to help guide the development of novel treatment approaches. This article focuses on the multivariate analysis strategy of parallel (i.e. simultaneous combination of SNP and neuroimage information independent component analysis (p-ICA, which typically yields large clusters of functionally related SNPs statistically correlated with phenotype components, whose overall molecular biologic relevance is inferred subsequently using annotation software suites. Because this is a novel approach, whose details are relatively new to the field we summarize its underlying principles and address conceptual questions regarding interpretation of resulting data and provide practical illustrations of the method.

  13. Neutron activation analysis of biological substances

    International Nuclear Information System (INIS)

    Ordogh, M.

    1978-08-01

    A Bowen cabbage sample was used as a reference material for the neutron activation studies, and the method was checked by the analysis of other biological substances (blood or serum etc.). For nondestructive measurements also some non-trace elements were determined in order to decide whether the activation analysis is a useful means for such measurements. The new activation analysis procedure was used for biomedical studies as, e.g., for trace element determination in body fluids, and for the analysis of inorganic components in air samples. (R.P.)

  14. Biological insights from 108 schizophrenia-associated genetic loci

    DEFF Research Database (Denmark)

    Ripke, Stephan; Neale, Benjamin M.; Corvin, Aiden

    2014-01-01

    and 113,075 controls. We identify 128 independent associations spanning 108 conservatively defined loci that meet genome-wide significance, 83 of which have not been previously reported. Associations were enriched among genes expressed in brain, providing biological plausibility for the findings. Many...

  15. MP-GeneticSynth: inferring biological network regulations from time series.

    Science.gov (United States)

    Castellini, Alberto; Paltrinieri, Daniele; Manca, Vincenzo

    2015-03-01

    MP-GeneticSynth is a Java tool for discovering the logic and regulation mechanisms responsible for observed biological dynamics in terms of finite difference recurrent equations. The software makes use of: (i) metabolic P systems as a modeling framework, (ii) an evolutionary approach to discover flux regulation functions as linear combinations of given primitive functions, (iii) a suitable reformulation of the least squares method to estimate function parameters considering simultaneously all the reactions involved in complex dynamics. The tool is available as a plugin for the virtual laboratory MetaPlab. It has graphical and interactive interfaces for data preparation, a priori knowledge integration, and flux regulator analysis. Availability and implementation: Source code, binaries, documentation (including quick start guide and videos) and case studies are freely available at http://mplab.sci.univr.it/plugins/mpgs/index.html. © The Author 2014. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.

  16. Conservation, genetic characterization, phytochemical and biological investigation of black calla lily: A wild endangered medicinal plant

    Directory of Open Access Journals (Sweden)

    Mai Mohammed Farid

    2016-10-01

    Full Text Available Scientists continue to search for and conserve plants whose medicinal properties have become crucial in the fight against diseases. Moreover, lessons from folk medicine, indigenous knowledge and Chinese medicine on crude extracts points to possible findings of novel promising and strong pharmaceutically bioactive constituents. Arum palaestinum, commonly known as black calla lily, is one of the most important medicinal plants belonging to the family Araceae, which has not been well studied. Little is known about its pharmaceutically bioactive constituents and the effective conservation through the use of biotechnology. Thus, Arum Palaestinum is selected and reviewed for its phytochemical analysis and biological activities. Besides, the tissue culture and genetic characterization developed for effective conservation of the plant were also summarized.

  17. An integrated system for genetic analysis

    Directory of Open Access Journals (Sweden)

    Duan Xiao

    2006-04-01

    Full Text Available Abstract Background Large-scale genetic mapping projects require data management systems that can handle complex phenotypes and detect and correct high-throughput genotyping errors, yet are easy to use. Description We have developed an Integrated Genotyping System (IGS to meet this need. IGS securely stores, edits and analyses genotype and phenotype data. It stores information about DNA samples, plates, primers, markers and genotypes generated by a genotyping laboratory. Data are structured so that statistical genetic analysis of both case-control and pedigree data is straightforward. Conclusion IGS can model complex phenotypes and contain genotypes from whole genome association studies. The database makes it possible to integrate genetic analysis with data curation. The IGS web site http://bioinformatics.well.ox.ac.uk/project-igs.shtml contains further information.

  18. Integrating population genetics and conservation biology in the era of genomics.

    Science.gov (United States)

    Ouborg, N Joop

    2010-02-23

    As one of the final activities of the ESF-CONGEN Networking programme, a conference entitled 'Integrating Population Genetics and Conservation Biology' was held at Trondheim, Norway, from 23 to 26 May 2009. Conference speakers and poster presenters gave a display of the state-of-the-art developments in the field of conservation genetics. Over the five-year running period of the successful ESF-CONGEN Networking programme, much progress has been made in theoretical approaches, basic research on inbreeding depression and other genetic processes associated with habitat fragmentation and conservation issues, and with applying principles of conservation genetics in the conservation of many species. Future perspectives were also discussed in the conference, and it was concluded that conservation genetics is evolving into conservation genomics, while at the same time basic and applied research on threatened species and populations from a population genetic point of view continues to be emphasized.

  19. Event History Analysis in Quantitative Genetics

    DEFF Research Database (Denmark)

    Maia, Rafael Pimentel

    Event history analysis is a clas of statistical methods specially designed to analyze time-to-event characteristics, e.g. the time until death. The aim of the thesis was to present adequate multivariate versions of mixed survival models that properly represent the genetic aspects related to a given...

  20. Wild cassava, Manihot spp.: Biology and potentialities for genetic improvement

    Directory of Open Access Journals (Sweden)

    Nassar Nagib M.A.

    2000-01-01

    Full Text Available Wild species of Manihot are progenitors of cassava. They constitute valuable genetic reservoirs presenting genes that show new characters. Screening of these species showed some of them to have a notably high percentage of protein combined with a low percentage of hydrocyanic acid. Study of natural habitats revealed resistance to drought and excessive soil aluminum toxicity as well as adaptation to low temperature. Some of the hybrids obtained showed high root productivity and resistance to stem borers. Apomixis was discovered in the wild and transferred successfully to the cultivate species.

  1. Biology, Genetics, and Environment: Underlying Factors Influencing Alcohol Metabolism.

    Science.gov (United States)

    Wall, Tamara L; Luczak, Susan E; Hiller-Sturmhöfel, Susanne

    2016-01-01

    Gene variants encoding several of the alcohol-metabolizing enzymes, alcohol dehydrogenase (ADH) and aldehyde dehydrogenase (ALDH), are among the largest genetic associations with risk for alcohol dependence. Certain genetic variants (i.e., alleles)--particularly the ADH1B*2, ADH1B*3, ADH1C*1, and ALDH2*2 alleles--have been associated with lower rates of alcohol dependence. These alleles may lead to an accumulation of acetaldehyde during alcohol metabolism, which can result in heightened subjective and objective effects. The prevalence of these alleles differs among ethnic groups; ADH1B*2 is found frequently in northeast Asians and occasionally Caucasians, ADH1B*3 is found predominantly in people of African ancestry, ADH1C*1 varies substantially across populations, and ALDH2*2 is found almost exclusively in northeast Asians. Differences in the prevalence of these alleles may account at least in part for ethnic differences in alcohol consumption and alcohol use disorder (AUD). However, these alleles do not act in isolation to influence the risk of AUD. For example, the gene effects of ALDH2*2 and ADH1B*2 seem to interact. Moreover, other factors have been found to influence the extent to which these alleles affect a person's alcohol involvement, including developmental stage, individual characteristics (e.g., ethnicity, antisocial behavior, and behavioral undercontrol), and environmental factors (e.g., culture, religion, family environment, and childhood adversity).

  2. Biological/Genetic Regulation of Physical Activity Level: Consensus from GenBioPAC.

    Science.gov (United States)

    Lightfoot, J Timothy; DE Geus, Eco J C; Booth, Frank W; Bray, Molly S; DEN Hoed, Marcel; Kaprio, Jaakko; Kelly, Scott A; Pomp, Daniel; Saul, Michael C; Thomis, Martine A; Garland, Theodore; Bouchard, Claude

    2018-04-01

    Physical activity unquestionably maintains and improves health; however, physical activity levels globally are low and not rising despite all the resources devoted to this goal. Attention in both the research literature and the public policy domain has focused on social-behavioral factors; however, a growing body of literature suggests that biological determinants play a significant role in regulating physical activity levels. For instance, physical activity level, measured in various manners, has a genetic component in both humans and nonhuman animal models. This consensus article, developed as a result of an American College of Sports Medicine-sponsored round table, provides a brief review of the theoretical concepts and existing literature that supports a significant role of genetic and other biological factors in the regulation of physical activity. Future research on physical activity regulation should incorporate genetics and other biological determinants of physical activity instead of a sole reliance on social and other environmental determinants.

  3. Understanding genetic variation - the value of systems biology.

    Science.gov (United States)

    Hütt, Marc-Thorsten

    2014-04-01

    Pharmacology is currently transformed by the vast amounts of genome-associated information available for system-level interpretation. Here I review the potential of systems biology to facilitate this interpretation, thus paving the way for the emerging field of systems pharmacology. In particular, I will show how gene regulatory and metabolic networks can serve as a framework for interpreting high throughput data and as an interface to detailed dynamical models. In addition to the established connectivity analyses of effective networks, I suggest here to also analyze higher order architectural properties of effective networks. © 2013 The British Pharmacological Society.

  4. The collective biology of the gene: Towards genetic dynamics engineering

    International Nuclear Information System (INIS)

    Chela-Flores, J.

    1985-11-01

    Chromatin dynamics is studied in terms of coupled vibrations (phonon pairing); this is shown to lead to a collective variable Δ, interpreted as a gene inhibition factor, which behaves as a biological switch turned off, not only by enzymatic action or metabolic energy, but also by means of an external probe:irradiation. We discuss the inactivation of the X chromosome and puffing. The relevance of being able to modulate Δ is emphasized, since it is equivalent to controlling chromatin dynamics without interfering with chromatin structure, unlike in the usual recombinant DNA techniques. (author)

  5. Biological and biomedical aspects of genetically modified food.

    Science.gov (United States)

    Celec, Peter; Kukucková, Martina; Renczésová, Veronika; Natarajan, Satheesh; Pálffy, Roland; Gardlík, Roman; Hodosy, Július; Behuliak, Michal; Vlková, Barbora; Minárik, Gabriel; Szemes, Tomás; Stuchlík, Stanislav; Turna, Ján

    2005-12-01

    Genetically modified (GM) foods are the product of one of the most progressive fields of science-biotechnology. There are major concerns about GM foods in the public; some of them are reasonable, some of them are not. Biomedical risks of GM foods include problems regarding the potential allergenicity, horizontal gene transfer, but environmental side effects on biodiversity must also be recognized. Numerous methods have been developed to assess the potential risk of every GM food type. Benefits of the first generation of GM foods were oriented towards the production process and companies, the second generation of GM foods offers, on contrary, various advantages and added value for the consumer. This includes improved nutritional composition or even therapeutic effects. Recombinant probiotics and the principle of alternative gene therapy represent the latest approach of using GM organisms for biomedical applications. This article tries to summarize and to explain the problematic topic of GM food.

  6. How Genetic and Other Biological Factors Interact with Smoking Decisions.

    Science.gov (United States)

    Bierut, Laura; Cesarini, David

    2015-09-01

    Despite clear links between genes and smoking, effective public policy requires far richer measurement of the feedback between biological, behavioral, and environmental factors. The Kavli HUMAN Project (KHP) plans to exploit the plummeting costs of data gathering and to make creative use of new technologies to construct a longitudinal panel data set that would compare favorably to existing longitudinal surveys, both in terms of the richness of the behavioral measures and the cost-effectiveness of the data collection. By developing a more comprehensive approach to characterizing behavior than traditional methods, KHP will allow researchers to paint a much richer picture of an individual's life-cycle trajectory of smoking, alcohol, and drug use, and interactions with other choices and environmental factors. The longitudinal nature of KHP will be particularly valuable in light of the increasing evidence for how smoking behavior affects physiology and health. The KHP could have a transformative impact on the understanding of the biology of addictive behaviors such as smoking, and of a rich range of prevention and amelioration policies.

  7. Application of genetic algorithms for determination biological half-life of 137 Cs in milk

    International Nuclear Information System (INIS)

    Pantelic, G.

    1998-01-01

    Genetic algorithm an optimization method involving natural selection mechanisms, was used to determine biological half-life of sup 1 sup 3 sup 7 Cs in the milk, after the Chernobyl accident, based on a two compartment linear system model. Genetic algorithms operate on populations of strings. Reproduction, crossover and mutation are applied to successive string population to create new string population. A model parameter estimation is performed by minimizing square differences between fitting function and experimental data. The calculated biological half-life of sup 1 sup 3 sup 7 Cs in milk is (32(+(-) days (author)

  8. Future strategy and puzzles of heavy ion beam mediated technique in genetic improvement of biological bodies

    International Nuclear Information System (INIS)

    Huang Qunce

    2007-01-01

    The 7 research puzzles in the genetic improvement of biological bodies made by ion beam mediated technique, are worth noticed. The technical ideas, including one mediated technique in physics, 2 significant subjects, 3 effective changes, the mediated evidences of 4 aspects and 5 biological characteristics, were particularly put forward according to the existing states in the field. The 2 significant subjects consist of the mechanics of the allogenetic materials entering into the acceptor and they being to be recombined. The 3 effective changes include from studying morphology to genetic laws, from researching M1 generation to the next generations, from determining the single character to the synthetic traits. The mediated evidences of 4 aspects come from morphology, physiology and biochemistry, molecule biology. The 5 biological characteristics are mainly reproduction, development, photosynthesis, bad condition-resistant and quality. (authors)

  9. The molecular genetics of the telomere biology disorders.

    Science.gov (United States)

    Bertuch, Alison A

    2016-08-02

    The importance of telomere function for human health is exemplified by a collection of Mendelian disorders referred to as the telomere biology disorders (TBDs), telomeropathies, or syndromes of telomere shortening. Collectively, the TBDs cover a spectrum of conditions from multisystem disease presenting in infancy to isolated disease presentations in adulthood, most notably idiopathic pulmonary fibrosis. Eleven genes have been found mutated in the TBDs to date, each of which is linked to some aspect of telomere maintenance. This review summarizes the molecular defects that result from mutations in these genes, highlighting recent advances, including the addition of PARN to the TBD gene family and the discovery of heterozygous mutations in RTEL1 as a cause of familial pulmonary fibrosis.

  10. Biology and genetic improvement of Jatropha curcas L.: A review

    Energy Technology Data Exchange (ETDEWEB)

    Divakara, B.N.; Upadhyaya, H.D.; Gowda, C.L. Laxmipathi [Global Theme on Crop Improvement, International Crops Research Institute for the Semi Arid Tropics, Patancheru - 502 324, Hyderabad, Andhra Pradesh (India); Wani, S.P. [Global Theme of Agroecosystems, International Crops Research Institute for the Semi Arid Tropics, Patancheru - 502 324, Hyderabad, Andhra Pradesh (India)

    2010-03-15

    Bio-diesel is a fast-developing alternative fuel in many developed and developing countries of the world. The bio-diesel production from vegetable oils during 2004-2005 was estimated 2.36 million tonnes globally. Of this, EU countries accounted for about 82% and USA about 6%. Global bio-diesel production is set to reach some 24 billion litres by 2017. Shortage of edible oil for human consumption in developing countries does not favour its use for bio-diesel production. Hence non-edible oil from crops like Jatropha (Jatrophacurcas) and Pongamia (Pongamiapinnata) is favoured for bio-diesel production and the trend is expected to continue. Especially J. curcas has gained attention in tropical and sub-tropical countries and has spread beyond its centre of origin, because of its hardiness, easy propagation, drought endurance, high oil content, rapid growth, adaptation to wide agro-climatic conditions, and multiple uses of plant as a whole. The full potential of J. curcas has not been realized due to several technological and economic reasons. One of the major reasons is the lack of high yielding varieties with high oil content. In this review, we attempt to discuss the currently available information on Jatropha species identity, taxonomy and description, distribution and ecological requirements of the species, possibilities of exploitation of genetic potentiality, exploitation of existing diversity for yield and oil content by direct selection, hybridization and creation of diversity by mutation, and biotechnological interventions. (author)

  11. Interferon Lambda Genetics and Biology in Regulation of Viral Control

    Directory of Open Access Journals (Sweden)

    Emily A. Hemann

    2017-12-01

    Full Text Available Type III interferons, also known as interferon lambdas (IFNλs, are the most recent addition to the IFN family following their discovery in 2003. Initially, IFNλ was demonstrated to induce expression of interferon-stimulated genes and exert antiviral properties in a similar manner to type I IFNs. However, while IFNλ has been described to have largely overlapping expression and function with type I IFNs, it has become increasingly clear that type III IFNs also have distinct functions from type I IFNs. In contrast to type I IFNs, whose receptor is ubiquitously expressed, type III IFNs signal and function largely at barrier epithelial surfaces, such as the respiratory and gastrointestinal tracts, as well as the blood–brain barrier. In further support of unique functions for type III IFNs, single nucleotide polymorphisms in IFNL genes in humans are strongly associated with outcomes to viral infection. These biological linkages have also been more directly supported by studies in mice highlighting roles of IFNλ in promoting antiviral immune responses. In this review, we discuss the current understanding of type III IFNs, and how their functions are similar to, and different from, type I IFN in various immune cell subtypes and viral infections.

  12. Methods for genetic linkage analysis using trisomies.

    OpenAIRE

    Feingold, E; Lamb, N E; Sherman, S L

    1995-01-01

    Certain genetic disorders are rare in the general population, but more common in individuals with specific trisomies. Examples of this include leukemia and duodenal atresia in trisomy 21. This paper presents a linkage analysis method for using trisomic individuals to map genes for such traits. It is based on a very general gene-specific dosage model that posits that the trait is caused by specific effects of different alleles at one or a few loci and that duplicate copies of "susceptibility" ...

  13. Biological hardening and genetic fidelity testing of micro-cloned ...

    African Journals Online (AJOL)

    STORAGESEVER

    2008-04-17

    Apr 17, 2008 ... Available online at http://www.academicjournals.org/AJB. ISSN 1684–5315 ..... morphic bands common to all 13 plants (Figure 3 A-D). Cluster analysis ... resultant progeny and cost effectiveness are key para- meters of a ...

  14. Teaching biology through statistics: application of statistical methods in genetics and zoology courses.

    Science.gov (United States)

    Colon-Berlingeri, Migdalisel; Burrowes, Patricia A

    2011-01-01

    Incorporation of mathematics into biology curricula is critical to underscore for undergraduate students the relevance of mathematics to most fields of biology and the usefulness of developing quantitative process skills demanded in modern biology. At our institution, we have made significant changes to better integrate mathematics into the undergraduate biology curriculum. The curricular revision included changes in the suggested course sequence, addition of statistics and precalculus as prerequisites to core science courses, and incorporating interdisciplinary (math-biology) learning activities in genetics and zoology courses. In this article, we describe the activities developed for these two courses and the assessment tools used to measure the learning that took place with respect to biology and statistics. We distinguished the effectiveness of these learning opportunities in helping students improve their understanding of the math and statistical concepts addressed and, more importantly, their ability to apply them to solve a biological problem. We also identified areas that need emphasis in both biology and mathematics courses. In light of our observations, we recommend best practices that biology and mathematics academic departments can implement to train undergraduates for the demands of modern biology.

  15. Student world view as a framework for learning genetics and evolution in high school biology

    Science.gov (United States)

    McCoy, Roger Wesley

    Statement of the problem. Few studies in biology education have examined the underlying presuppositions which guide thinking and concept learning in adolescents. The purpose of this study was to describe and understand the biological world views of a variety of high school students before they take biology courses. Specifically, the study examined student world views in the domains of Classification, Relationship and Causation related to the concepts of heredity, evolution and biotechnology. The following served as guiding questions: (1) What are the personal world views of high school students entering biology classes, related to the domain of Classification, Relationship and Causality? (2) How do these student world views confound or enhance the learning of basic concepts in genetics and evolution? Methods. An interpretive method was chosen for this study. The six student participants were ninth graders and represented a wide range of world view backgrounds. A series of three interviews was conducted with each participant, with a focus group used for triangulation of data. The constant comparative method was used to categorize the data and facilitate the search for meaningful patterns. The analysis included a thick description of each student's personal views of classification, evolution and the appropriate use of biotechnology. Results. The study demonstrates that world view is the basis upon which students build knowledge in biology. The logic of their everyday thinking may not match that of scientists. The words they use are sometimes inconsistent with scientific terminology. This study provides evidence that students voice different opinions depending on the social situation, since they are strongly influenced by peers. Students classify animals based on behaviors. They largely believe that the natural world is unpredictable, and that humans are not really part of that world. Half are unlikely to accept the evolution of humans, but may accept it in other

  16. Benefits and costs of biologically contained genetically modified tomatoes and eggplants in Italy and Spain

    NARCIS (Netherlands)

    Groeneveld, R.A.; Ansink, E.; Wiel, van de C.C.M.; Wesseler, J.H.H.

    2011-01-01

    In this paper we assess the benefits and costs of introducing biologically contained genetically modified (GM) crops, with an application to the potential introduction of GM tomatoes and eggplants in Italy and Spain. Such crops possess both the standard beneficial GM traits, and they prevent

  17. What Do Beginner Biology Teacher Candidates Know of Genetics and Genes?

    Science.gov (United States)

    Oztas, Fulya; Oztas, Haydar

    2016-01-01

    Misconceptions are a barrier to understanding biology hence, to promote meaningful learning, it is necessary to overcome these difficulties with the help of different instructional methods rather than traditional instructional methods. Therefore it could be very interesting to find out "how students' prior knowledge of genetics affects…

  18. Chapter 7. Management strategies for dwarf mistletoes: Biological, chemical, and genetic approaches

    Science.gov (United States)

    S. F. Shamoun; L. E. DeWald

    2002-01-01

    The opportunity and need for management of mistletoe populations with biological, chemical, and genetic approaches are greatest for application to the dwarf mistletoes. Although much information is available on these management strategies (see reviews by Hawksworth 1972, Knutson 1978), significant research and development are still required for these to become...

  19. I'm so tired: biological and genetic mechanisms of cancer-related fatigue

    NARCIS (Netherlands)

    Barsevick, Andrea; Frost, Marlene; Zwinderman, Aeilko; Hall, Per; Halyard, Michele; Abertnethy, Amy P.; Baas, Frank; Barsevick, Andrea M.; Bartels, Meike; Boomsma, Dorret I.; Chauhan, Cynthia; Cleeland, Charles S.; Dueck, Amylou C.; Frost, Marlene H.; Halyard, Michele Y.; Klepstad, Pål; Martin, Nicholas G.; Miaskowski, Christine; Mosing, Miriam; Movsas, Benjamin; van Noorden, Cornelis J. F.; Patrick, Donald L.; Pedersen, Nancy L.; Ropka, Mary E.; Shi, Quiling; Shinozaki, Gen; Singh, Jasvinder A.; Sloan, Jeff A.; Sprangers, Mirjam A. G.; Veenhoven, Ruut; Yang, Ping

    2010-01-01

    Objective The goal of this paper is to discuss cancer-related fatigue (CRF) and address issues related to the investigation into potential biological and genetic causal mechanisms. The objectives are to: (1) describe CRF as a component of quality of life (QOL); (2) address measurement issues that

  20. Sequencing Genetics Information: Integrating Data into Information Literacy for Undergraduate Biology Students

    Science.gov (United States)

    MacMillan, Don

    2010-01-01

    This case study describes an information literacy lab for an undergraduate biology course that leads students through a range of resources to discover aspects of genetic information. The lab provides over 560 students per semester with the opportunity for hands-on exploration of resources in steps that simulate the pathways of higher-level…

  1. Can Man Control His Biological Evolution? A Symposium on Genetic Engineering. Genetic Engineering

    Science.gov (United States)

    Ramsey, Paul

    1972-01-01

    Presented are issues related to genetic engineering. Increased knowledge of techniques to manipulate genes are apt to create confusion about moral values in relation to unborn babies and other living organisms on earth. Human beings may use this knowledge to disturb the balance maintained by nature. (PS)

  2. Application of activation techniques to biological analysis

    International Nuclear Information System (INIS)

    Bowen, H.J.M.

    1981-01-01

    Applications of activation analysis in the biological sciences are reviewed for the period of 1970 to 1979. The stages and characteristics of activation analysis are described, and its advantages and disadvantages enumerated. Most applications involve activation by thermal neutrons followed by either radiochemical or instrumental determination. Relatively little use has been made of activation by fast neutrons, photons, or charged particles. In vivo analyses are included, but those based on prompt gamma or x-ray emission are not. Major applications include studies of reference materials, and the elemental analysis of plants, marine biota, animal and human tissues, diets, and excreta. Relatively little use of it has been made in biochemistry, microbiology, and entomology, but it has become important in toxicology and environmental science. The elements most often determined are Ag, As, Au, Br, Ca, Cd, Cl, Co, Cr, Cs, Cu, Fe, Hg, I, K, Mn, Mo, Na, Rb, Sb, Sc, Se, and Zn, while few or no determinations of B, Be, Bi, Ga, Gd, Ge, H, In, Ir, Li, Nd, Os, Pd, Pr, Pt, Re, Rh, Ru, Te, Tl, or Y have been made in biological materials

  3. Analysis of genetic polymorphism and genetic distance among four ...

    African Journals Online (AJOL)

    use

    2011-11-21

    Nov 21, 2011 ... The genomes of 4 sheep populations {Yuanqu white Tan sheep (YWT), Baozhongchang white Tan sheep. (BWT), black Tan sheep (BT) and small-tailed Han sheep (Han)} were screened using 10 microsatellite. DNA markers to estimate the genetic diversities and genetic distances among these ...

  4. Neutron activation analysis of biological material

    International Nuclear Information System (INIS)

    Kucera, J.; Simkova, M.; Obrusnik, I.

    1985-01-01

    The possibilities are briefly summed up of usino. NAA (neutron activation analysis) for determining element traces in foodstuffs and their intake by organisms, for monitoring changes in the content of important trace elements in tissues and body fluids owing to environmental pollution, for verifying the results of other analytical techniques and for certifying the content of element traces in reference materials. Examples are given of the use of NAA, and the results are summed up of the determination of Cd, Mn and Zn in biological reference materials NBS SRM-1577, Bovine Liver, Bowen's Kale, IAEA Milk Powder A-11 and IAEA Animal Muscle H-4. (E.S.)

  5. Genetic Code Analysis Toolkit: A novel tool to explore the coding properties of the genetic code and DNA sequences

    Science.gov (United States)

    Kraljić, K.; Strüngmann, L.; Fimmel, E.; Gumbel, M.

    2018-01-01

    The genetic code is degenerated and it is assumed that redundancy provides error detection and correction mechanisms in the translation process. However, the biological meaning of the code's structure is still under current research. This paper presents a Genetic Code Analysis Toolkit (GCAT) which provides workflows and algorithms for the analysis of the structure of nucleotide sequences. In particular, sets or sequences of codons can be transformed and tested for circularity, comma-freeness, dichotomic partitions and others. GCAT comes with a fertile editor custom-built to work with the genetic code and a batch mode for multi-sequence processing. With the ability to read FASTA files or load sequences from GenBank, the tool can be used for the mathematical and statistical analysis of existing sequence data. GCAT is Java-based and provides a plug-in concept for extensibility. Availability: Open source Homepage:http://www.gcat.bio/

  6. Synthetic biology approaches in cancer immunotherapy, genetic network engineering, and genome editing.

    Science.gov (United States)

    Chakravarti, Deboki; Cho, Jang Hwan; Weinberg, Benjamin H; Wong, Nicole M; Wong, Wilson W

    2016-04-18

    Investigations into cells and their contents have provided evolving insight into the emergence of complex biological behaviors. Capitalizing on this knowledge, synthetic biology seeks to manipulate the cellular machinery towards novel purposes, extending discoveries from basic science to new applications. While these developments have demonstrated the potential of building with biological parts, the complexity of cells can pose numerous challenges. In this review, we will highlight the broad and vital role that the synthetic biology approach has played in applying fundamental biological discoveries in receptors, genetic circuits, and genome-editing systems towards translation in the fields of immunotherapy, biosensors, disease models and gene therapy. These examples are evidence of the strength of synthetic approaches, while also illustrating considerations that must be addressed when developing systems around living cells.

  7. Investigating the role of retinal Müller cells with approaches in genetics and cell biology.

    Science.gov (United States)

    Fu, Suhua; Zhu, Meili; Ash, John D; Wang, Yunchang; Le, Yun-Zheng

    2014-01-01

    Müller cells are major macroglia and play many essential roles as a supporting cell in the retina. As Müller cells only constitute a small portion of retinal cells, investigating the role of Müller glia in retinal biology and diseases is particularly challenging. To overcome this problem, we first generated a Cre/lox-based conditional gene targeting system that permits the genetic manipulation and functional dissection of gene of interests in Müller cells. To investigate diabetes-induced alteration of Müller cells, we recently adopted methods to analyze Müller cells survival/death in vitro and in vivo. We also used normal and genetically altered primary cell cultures to reveal the mechanistic insights for Müller cells in biological and disease processes. In this article, we will discuss the applications and limitations of these methodologies, which may be useful for research in retinal Müller cell biology and pathophysiology.

  8. A Genetic Analysis of Mortality in Pigs

    DEFF Research Database (Denmark)

    Varona, Luis; Sorensen, Daniel

    2010-01-01

    to investigate whether there is support for genetic variation for mortality and to study the quality of fit and predictive properties of the various models. In both breeds, the model that provided the best fit to the data was the standard binomial hierarchical model. The model that performed best in terms......An analysis of mortality is undertaken in two breeds of pigs: Danish Landrace and Yorkshire. Zero-inflated and standard versions of hierarchical Poisson, binomial, and negative binomial Bayesian models were fitted using Markov chain Monte Carlo (MCMC). The objectives of the study were...... of the ability to predict the distribution of stillbirths was the hierarchical zero-inflated negative binomial model. The best fit of the binomial hierarchical model and of the zero-inflated hierarchical negative binomial model was obtained when genetic variation was included as a parameter. For the hierarchical...

  9. Automatic compilation from high-level biologically-oriented programming language to genetic regulatory networks.

    Science.gov (United States)

    Beal, Jacob; Lu, Ting; Weiss, Ron

    2011-01-01

    The field of synthetic biology promises to revolutionize our ability to engineer biological systems, providing important benefits for a variety of applications. Recent advances in DNA synthesis and automated DNA assembly technologies suggest that it is now possible to construct synthetic systems of significant complexity. However, while a variety of novel genetic devices and small engineered gene networks have been successfully demonstrated, the regulatory complexity of synthetic systems that have been reported recently has somewhat plateaued due to a variety of factors, including the complexity of biology itself and the lag in our ability to design and optimize sophisticated biological circuitry. To address the gap between DNA synthesis and circuit design capabilities, we present a platform that enables synthetic biologists to express desired behavior using a convenient high-level biologically-oriented programming language, Proto. The high level specification is compiled, using a regulatory motif based mechanism, to a gene network, optimized, and then converted to a computational simulation for numerical verification. Through several example programs we illustrate the automated process of biological system design with our platform, and show that our compiler optimizations can yield significant reductions in the number of genes (~ 50%) and latency of the optimized engineered gene networks. Our platform provides a convenient and accessible tool for the automated design of sophisticated synthetic biological systems, bridging an important gap between DNA synthesis and circuit design capabilities. Our platform is user-friendly and features biologically relevant compiler optimizations, providing an important foundation for the development of sophisticated biological systems.

  10. New Algorithm and Software (BNOmics) for Inferring and Visualizing Bayesian Networks from Heterogeneous Big Biological and Genetic Data.

    Science.gov (United States)

    Gogoshin, Grigoriy; Boerwinkle, Eric; Rodin, Andrei S

    2017-04-01

    Bayesian network (BN) reconstruction is a prototypical systems biology data analysis approach that has been successfully used to reverse engineer and model networks reflecting different layers of biological organization (ranging from genetic to epigenetic to cellular pathway to metabolomic). It is especially relevant in the context of modern (ongoing and prospective) studies that generate heterogeneous high-throughput omics datasets. However, there are both theoretical and practical obstacles to the seamless application of BN modeling to such big data, including computational inefficiency of optimal BN structure search algorithms, ambiguity in data discretization, mixing data types, imputation and validation, and, in general, limited scalability in both reconstruction and visualization of BNs. To overcome these and other obstacles, we present BNOmics, an improved algorithm and software toolkit for inferring and analyzing BNs from omics datasets. BNOmics aims at comprehensive systems biology-type data exploration, including both generating new biological hypothesis and testing and validating the existing ones. Novel aspects of the algorithm center around increasing scalability and applicability to varying data types (with different explicit and implicit distributional assumptions) within the same analysis framework. An output and visualization interface to widely available graph-rendering software is also included. Three diverse applications are detailed. BNOmics was originally developed in the context of genetic epidemiology data and is being continuously optimized to keep pace with the ever-increasing inflow of available large-scale omics datasets. As such, the software scalability and usability on the less than exotic computer hardware are a priority, as well as the applicability of the algorithm and software to the heterogeneous datasets containing many data types-single-nucleotide polymorphisms and other genetic/epigenetic/transcriptome variables, metabolite

  11. Molecular genetic analysis of consanguineous families with primary ...

    Indian Academy of Sciences (India)

    RESEARCH NOTE Volume 96 Issue 2 June 2017 pp 383-387 ... Autosomal recessive primary microcephaly is a rare genetic disorder that is ... Department of Cell and Developmental Biology, School of Life Sciences, University of Science and ...

  12. Analysis of genetic diversity in Arrhenatherum elatius Germplasm ...

    African Journals Online (AJOL)

    Jane

    2011-07-25

    Jul 25, 2011 ... The genetic diversity of 19 Arrhenatherum elatius accessions was analyzed ... can be used as novel DNA markers for genomic .... phylogenies and evolutionary biology. .... struction Project of the Beijing Academy of Agriculture.

  13. An analysis of the genetic diversity and genetic structure of ...

    African Journals Online (AJOL)

    ajl yemi

    2011-12-26

    Dec 26, 2011 ... relief, diuresis, blood pressure and lipid metabolism. (Kawasaki et al., 2000). ... Habitat. Longitude(N),. Latitude(E). Population size. Sample size. LY. Luoyang, Henan ..... Compared with the high genetic diversity at the species.

  14. Covariance Association Test (CVAT) Identifies Genetic Markers Associated with Schizophrenia in Functionally Associated Biological Processes.

    Science.gov (United States)

    Rohde, Palle Duun; Demontis, Ditte; Cuyabano, Beatriz Castro Dias; Børglum, Anders D; Sørensen, Peter

    2016-08-01

    Schizophrenia is a psychiatric disorder with large personal and social costs, and understanding the genetic etiology is important. Such knowledge can be obtained by testing the association between a disease phenotype and individual genetic markers; however, such single-marker methods have limited power to detect genetic markers with small effects. Instead, aggregating genetic markers based on biological information might increase the power to identify sets of genetic markers of etiological significance. Several set test methods have been proposed: Here we propose a new set test derived from genomic best linear unbiased prediction (GBLUP), the covariance association test (CVAT). We compared the performance of CVAT to other commonly used set tests. The comparison was conducted using a simulated study population having the same genetic parameters as for schizophrenia. We found that CVAT was among the top performers. When extending CVAT to utilize a mixture of SNP effects, we found an increase in power to detect the causal sets. Applying the methods to a Danish schizophrenia case-control data set, we found genomic evidence for association of schizophrenia with vitamin A metabolism and immunological responses, which previously have been implicated with schizophrenia based on experimental and observational studies. Copyright © 2016 by the Genetics Society of America.

  15. Panel 4: Recent Advances in Otitis Media in Molecular Biology, Biochemistry, Genetics, and Animal Models

    Science.gov (United States)

    Li, Jian-Dong; Hermansson, Ann; Ryan, Allen F.; Bakaletz, Lauren O.; Brown, Steve D.; Cheeseman, Michael T.; Juhn, Steven K.; Jung, Timothy T. K.; Lim, David J.; Lim, Jae Hyang; Lin, Jizhen; Moon, Sung-Kyun; Post, J. Christopher

    2014-01-01

    Background Otitis media (OM) is the most common childhood bacterial infection and also the leading cause of conductive hearing loss in children. Currently, there is an urgent need for developing novel therapeutic agents for treating OM based on full understanding of molecular pathogenesis in the areas of molecular biology, biochemistry, genetics, and animal model studies in OM. Objective To provide a state-of-the-art review concerning recent advances in OM in the areas of molecular biology, biochemistry, genetics, and animal model studies and to discuss the future directions of OM studies in these areas. Data Sources and Review Methods A structured search of the current literature (since June 2007). The authors searched PubMed for published literature in the areas of molecular biology, biochemistry, genetics, and animal model studies in OM. Results Over the past 4 years, significant progress has been made in the areas of molecular biology, biochemistry, genetics, and animal model studies in OM. These studies brought new insights into our understanding of the molecular and biochemical mechanisms underlying the molecular pathogenesis of OM and helped identify novel therapeutic targets for OM. Conclusions and Implications for Practice Our understanding of the molecular pathogenesis of OM has been significantly advanced, particularly in the areas of inflammation, innate immunity, mucus overproduction, mucosal hyperplasia, middle ear and inner ear interaction, genetics, genome sequencing, and animal model studies. Although these studies are still in their experimental stages, they help identify new potential therapeutic targets. Future preclinical and clinical studies will help to translate these exciting experimental research findings into clinical applications. PMID:23536532

  16. Population genetic analysis of ascertained SNP data

    Directory of Open Access Journals (Sweden)

    Nielsen Rasmus

    2004-03-01

    Full Text Available Abstract The large single nucleotide polymorphism (SNP typing projects have provided an invaluable data resource for human population geneticists. Almost all of the available SNP loci, however, have been identified through a SNP discovery protocol that will influence the allelic distributions in the sampled loci. Standard methods for population genetic analysis based on the available SNP data will, therefore, be biased. This paper discusses the effect of this ascertainment bias on allelic distributions and on methods for quantifying linkage disequilibrium and estimating demographic parameters. Several recently developed methods for correcting for the ascertainment bias will also be discussed.

  17. Convergence analysis of canonical genetic algorithms.

    Science.gov (United States)

    Rudolph, G

    1994-01-01

    This paper analyzes the convergence properties of the canonical genetic algorithm (CGA) with mutation, crossover and proportional reproduction applied to static optimization problems. It is proved by means of homogeneous finite Markov chain analysis that a CGA will never converge to the global optimum regardless of the initialization, crossover, operator and objective function. But variants of CGA's that always maintain the best solution in the population, either before or after selection, are shown to converge to the global optimum due to the irreducibility property of the underlying original nonconvergent CGA. These results are discussed with respect to the schema theorem.

  18. Benefits and Costs of Biologically Contained Genetically Modified Tomatoes and Eggplants in Italy and Spain

    Directory of Open Access Journals (Sweden)

    Rolf A. Groeneveld

    2011-08-01

    Full Text Available In this paper we assess the benefits and costs of introducing biologically contained genetically modified (GM crops, with an application to the potential introduction of GM tomatoes and eggplants in Italy and Spain. Such crops possess both the standard beneficial GM traits, and they prevent introgression of transgenes from GM crops to their conventional or wild relatives, thereby adding to the safety of their cultivation. As a result, coexistence regulations for these crops are less stringent than for crops without biological containment. The potential adoption of biologically contained GM tomatoes and eggplants is assessed in a cost-benefit framework for Italy and Spain. We conclude that biological containment has considerable potential benefits if policy makers are willing to loosen the restrictions on the introduction of these varieties.

  19. Analysis of biological tissues by Moessbauer spectroscopy

    International Nuclear Information System (INIS)

    Bonkova, I.; Bujdos, M.; Miglierini, M.

    2016-01-01

    The aim of this work was to analyze of biological tissues by Moessbauer spectroscopy in terms of demonstration of the magnetic properties of iron and its structural positions. Lyophilized samples of the human brain, human and equine spleen were used for the analysis. The samples were measured with 57 Fe Moessbauer spectroscopy in transmission arrangement at room temperature (∼ 300 K) and at a temperature of liquid helium (4.2 K). The resulting Moessbauer spectra measured at room temperature had doublet character, which confirms the presence of non-magnetic particles. On the contrary, low-temperature measurements are a superposition of several sextet and one duplicate. Hyperfine parameters obtained are similar to those reported hematite, ferrihydrite or magnetite. (authors)

  20. Analysis of genetic structure and relationship among nine ...

    Indian Academy of Sciences (India)

    These results indicated that the clustering analysis using the Structure program might provide an ..... of the current genetic relations among the breeds, and con- tribute to ... sis of the genetic structure of the Canary goat populations using.

  1. Genetic analysis of Myanmar Vigna species in responses to salt ...

    African Journals Online (AJOL)

    Genetic analysis of Myanmar Vigna species in responses to salt stress at the ... of reduction was highly dependent on different genotypes and salinity levels. ... the mechanism of salt tolerance and for the provision of genetic resources for ...

  2. Analysis of genetic relationships of mulberry (Morus L.) germplasm ...

    African Journals Online (AJOL)

    STORAGESEVER

    2009-06-03

    Jun 3, 2009 ... Full Length Research Paper. Analysis of genetic ... Key words: Mulberry, molecular marker, genetic diversity, SRAP. ... Europe, North and South America, and Africa, and it is cultivated ... Xingjiang autonomous region, China.

  3. A genetic epidemiological mega analysis of smoking initiation in adolescents

    NARCIS (Netherlands)

    Maes, H.H.; Prom-Wormley, E.; Eaves, L.J.; Rhee, S.H.; Hewitt, J.K.; Young, S.; Corley, R.; McGue, M.K.; Iacono, W.G.; Legrand, L.; Samek, D.; Murrelle, E.L.; Silberg, J.L.; Miles, D.; Schieken, R.M.; Beunen, G.P.; Thomis, M.; Rose, R.J.; Dick, D.M.; Boomsma, D.I.; Bartels, M.; Vink, J.M.; Lichtenstein, P.; White, V.; Kaprio, J.; Neale, M.C.

    2017-01-01

    Introduction. Previous studies in adolescents were not adequately powered to accurately disentangle genetic and environmental influences on smoking initiation across adolescence. Methods. Mega-analysis of pooled genetically informative data on smoking initiation was performed, with structural

  4. EMBO Course “Formal Analysis of Genetic Regulation”

    CERN Document Server

    1979-01-01

    The E M B 0 course on "Formal Analysis of Genetic Regulation" A course entitled "Formal analysis of Genetic Regulation" was held at the University of Brussels from 6 to 16 September 1977 under the auspices of EMBO (European Molecular Biology Organization). As indicated by the title of the book (but not explicitly enough by the title of the course), the main emphasis was put on a dynamic analysis of systems using logical methods, that is, methods in which functions and variables take only a limited number of values - typically two. In this respect, this course was complementary to an EMBO course using continuous methods which was held some months later in Israel by Prof. Segel. People from four very different laboratories took an active part in teaching our course in Brussels : Drs Anne LEUSSLER and Philippe VAN HAM, from the Laboratory of Prof. Jean FLORINE (Laboratoire des Systemes logiques et numeriques, Faculte des Sciences appliquees, Universite Libre de Bruxelles). Dr Stuart KAUFFMAN (Dept. of Biochemist...

  5. Trichoderma-plant-pathogen interactions: advances in genetics of biological control.

    Science.gov (United States)

    Mukherjee, Mala; Mukherjee, Prasun K; Horwitz, Benjamin A; Zachow, Christin; Berg, Gabriele; Zeilinger, Susanne

    2012-12-01

    Trichoderma spp. are widely used in agriculture as biofungicides. Induction of plant defense and mycoparasitism (killing of one fungus by another) are considered to be the most important mechanisms of Trichoderma-mediated biological control. Understanding these mechanisms at the molecular level would help in developing strains with superior biocontrol properties. In this article, we review our current understanding of the genetics of interactions of Trichoderma with plants and plant pathogens.

  6. Biological reference materials and analysis of toxic elements

    Energy Technology Data Exchange (ETDEWEB)

    Subramanian, R; Sukumar, A

    1988-12-01

    Biological monitoring of toxic metal pollution in the environment requires quality control analysis with use of standard reference materials. A variety of biological tissues are increasingly used for analysis of element bioaccumulation, but the available Certified Reference Materials (CRMs) are insufficient. An attempt is made to review the studies made using biological reference materials for animal and human tissues. The need to have inter-laboratory studies and CRM in the field of biological monitoring of toxic metals is also discussed.

  7. Biological Evidence Management for DNA Analysis in Cases of Sexual Assault

    Science.gov (United States)

    Magalhães, Teresa; Dinis-Oliveira, Ricardo Jorge; Silva, Benedita; Corte-Real, Francisco; Nuno Vieira, Duarte

    2015-01-01

    Biological evidence with forensic interest may be found in several cases of assault, being particularly relevant if sexually related. Sexual assault cases are characterized by low rates of disclosure, reporting, prosecution, and conviction. Biological evidence is sometimes the only way to prove the occurrence of sexual contact and to identify the perpetrator. The major focus of this review is to propose practical approaches and guidelines to help health, forensic, and law enforcement professionals to deal with biological evidence for DNA analysis. Attention should be devoted to avoiding contamination, degradation, and loss of biological evidence, as well as respecting specific measures to properly handle evidence (i.e., selection, collection, packing, sealing, labeling, storage, preservation, transport, and guarantee of the chain custody). Biological evidence must be carefully managed since the relevance of any finding in Forensic Genetics is determined, in the first instance, by the integrity and quantity of the samples submitted for analysis. PMID:26587562

  8. Biological Evidence Management for DNA Analysis in Cases of Sexual Assault

    Directory of Open Access Journals (Sweden)

    Teresa Magalhães

    2015-01-01

    Full Text Available Biological evidence with forensic interest may be found in several cases of assault, being particularly relevant if sexually related. Sexual assault cases are characterized by low rates of disclosure, reporting, prosecution, and conviction. Biological evidence is sometimes the only way to prove the occurrence of sexual contact and to identify the perpetrator. The major focus of this review is to propose practical approaches and guidelines to help health, forensic, and law enforcement professionals to deal with biological evidence for DNA analysis. Attention should be devoted to avoiding contamination, degradation, and loss of biological evidence, as well as respecting specific measures to properly handle evidence (i.e., selection, collection, packing, sealing, labeling, storage, preservation, transport, and guarantee of the chain custody. Biological evidence must be carefully managed since the relevance of any finding in Forensic Genetics is determined, in the first instance, by the integrity and quantity of the samples submitted for analysis.

  9. Biological and genetic properties of the p53 null preneoplastic mammary epithelium

    Science.gov (United States)

    Medina, Daniel; Kittrell, Frances S.; Shepard, Anne; Stephens, L. Clifton; Jiang, Cheng; Lu, Junxuan; Allred, D. Craig; McCarthy, Maureen; Ullrich, Robert L.

    2002-01-01

    The absence of the tumor suppressor gene p53 confers an increased tumorigenic risk for mammary epithelial cells. In this report, we describe the biological and genetic properties of the p53 null preneoplastic mouse mammary epithelium in a p53 wild-type environment. Mammary epithelium from p53 null mice was transplanted serially into the cleared mammary fat pads of p53 wild-type BALB/c female to develop stable outgrowth lines. The outgrowth lines were transplanted for 10 generations. The outgrowths were ductal in morphology and progressed through ductal hyperplasia and ductal carcinoma in situ before invasive cancer. The preneoplastic outgrowth lines were immortal and exhibited activated telomerase activity. They are estrogen and progesterone receptor-positive, and aneuploid, and had various levels of tumorigenic potential. The biological and genetic properties of these lines are distinct from those found in most hyperplastic alveolar outgrowth lines, the form of mammary preneoplasia occurring in most traditional models of murine mammary tumorigenesis. These results indicate that the preneoplastic cell populations found in this genetically engineered model are similar in biological properties to a subset of precurser lesions found in human breast cancer and provide a unique model to identify secondary events critical for tumorigenicity and invasiveness.

  10. Advances in the Application of Genetics in Marine Turtle Biology and Conservation

    Directory of Open Access Journals (Sweden)

    Lisa M. Komoroske

    2017-06-01

    Full Text Available Marine turtles migrate across long distances, exhibit complex life histories, and occupy habitats that are difficult to observe. These factors present substantial challenges to understanding fundamental aspects of their biology or assessing human impacts, many of which are important for the effective conservation of these threatened and endangered species. The early development and application of genetic tools made important contributions to understanding marine turtle population and evolutionary biology, such as providing evidence of regional natal homing by breeding adults, establishing connectivity between rookeries and foraging habitats, and determining phylogeography and broad scale stock structure for most marine turtle species. Recent innovations in molecular technologies, statistical methods, and creative application of genetic tools have significantly built upon this knowledge to address key questions in marine turtle biology and conservation management. Here, we evaluate the latest major advances and potential of marine turtle genetic applications, including improved resolution and large-scale syntheses of population structure, connectivity and phylogeography, estimation of key demographic rates such as age to maturity and operational or breeding sex ratios, insight into reproductive strategies and behavior, and assessment of differential human impacts among populations. We then discuss remaining challenges and emerging capabilities, such as rapid, multiplexed genotyping, and investigation of the genomic underpinnings of adaptive variation afforded by high-throughput sequencing technologies.

  11. Genetic analysis of bulimia nervosa: methods and sample description.

    Science.gov (United States)

    Kaye, Walter H; Devlin, Bernie; Barbarich, Nicole; Bulik, Cynthia M; Thornton, Laura; Bacanu, Silviu-Alin; Fichter, Manfred M; Halmi, Katherine A; Kaplan, Allan S; Strober, Michael; Woodside, D Blake; Bergen, Andrew W; Crow, Scott; Mitchell, James; Rotondo, Alessandro; Mauri, Mauro; Cassano, Giovanni; Keel, Pamela; Plotnicov, Katherine; Pollice, Christine; Klump, Kelly L; Lilenfeld, Lisa R; Ganjei, J Kelly; Quadflieg, Norbert; Berrettini, Wade H

    2004-05-01

    Twin and family studies suggest that genetic variants contribute to the pathogenesis of bulimia nervosa (BN) and anorexia nervosa (AN). The Price Foundation has supported an international, multisite study of families with these disorders to identify these genetic variations. The current study presents the clinical characteristics of this sample as well as a description of the study methodology. All probands met modified criteria for BN or bulimia nervosa with a history of AN (BAN) as defined in the 4th ed. of the Diagnostic and Statistical Manual of Mental Disorders (DSM-IV; American Psychiatric Association, 1994). All affected relatives met DSM-IV criteria for BN, AN, BAN, or eating disorders not otherwise specified (EDNOS). Probands and affected relatives were assessed diagnostically using both trained-rater and self-report assessments. DNA samples were collected from probands, affected relatives, and available biologic parents. Assessments were obtained from 163 BN probands and 165 BAN probands. Overall, there were 365 relative pairs available for linkage analysis. Of the affected relatives of BN probands, 62 were diagnosed as BN (34.8%), 49 as BAN (27.5%), 35 as AN (19.7%), and 32 as EDNOS (18.0%). For the relatives of BAN probands, 42 were diagnosed as BN (22.5%), 67 as BAN (35.8%), 48 as AN (25.7%), and 30 as EDNOS (16.0%). This study represents the largest genetic study of eating disorders to date. Clinical data indicate that although there are a large number of individuals with BN disorders, a range of eating pathology is represented in the sample, allowing for the examination of several different phenotypes in molecular genetic analyses. Copyright 2004 by Wiley Periodicals, Inc. Int J Eat Disord 35: 556-570, 2004.

  12. Synthetic biology and molecular genetics in non-conventional yeasts: Current tools and future advances.

    Science.gov (United States)

    Wagner, James M; Alper, Hal S

    2016-04-01

    Coupling the tools of synthetic biology with traditional molecular genetic techniques can enable the rapid prototyping and optimization of yeast strains. While the era of yeast synthetic biology began in the well-characterized model organism Saccharomyces cerevisiae, it is swiftly expanding to include non-conventional yeast production systems such as Hansenula polymorpha, Kluyveromyces lactis, Pichia pastoris, and Yarrowia lipolytica. These yeasts already have roles in the manufacture of vaccines, therapeutic proteins, food additives, and biorenewable chemicals, but recent synthetic biology advances have the potential to greatly expand and diversify their impact on biotechnology. In this review, we summarize the development of synthetic biological tools (including promoters and terminators) and enabling molecular genetics approaches that have been applied in these four promising alternative biomanufacturing platforms. An emphasis is placed on synthetic parts and genome editing tools. Finally, we discuss examples of synthetic tools developed in other organisms that can be adapted or optimized for these hosts in the near future. Copyright © 2015 Elsevier Inc. All rights reserved.

  13. Neutron scattering for the analysis of biological structures. Brookhaven symposia in biology. Number 27

    Energy Technology Data Exchange (ETDEWEB)

    Schoenborn, B P [ed.

    1976-01-01

    Sessions were included on neutron scattering and biological structure analysis, protein crystallography, neutron scattering from oriented systems, solution scattering, preparation of deuterated specimens, inelastic scattering, data analysis, experimental techniques, and instrumentation. Separate entries were made for the individual papers.

  14. Genetic coding and united-hypercomplex systems in the models of algebraic biology.

    Science.gov (United States)

    Petoukhov, Sergey V

    2017-08-01

    Structured alphabets of DNA and RNA in their matrix form of representations are connected with Walsh functions and a new type of systems of multidimensional numbers. This type generalizes systems of complex numbers and hypercomplex numbers, which serve as the basis of mathematical natural sciences and many technologies. The new systems of multi-dimensional numbers have interesting mathematical properties and are called in a general case as "systems of united-hypercomplex numbers" (or briefly "U-hypercomplex numbers"). They can be widely used in models of multi-parametrical systems in the field of algebraic biology, artificial life, devices of biological inspired artificial intelligence, etc. In particular, an application of U-hypercomplex numbers reveals hidden properties of genetic alphabets under cyclic permutations in their doublets and triplets. A special attention is devoted to the author's hypothesis about a multi-linguistic in DNA-sequences in a relation with an ensemble of U-numerical sub-alphabets. Genetic multi-linguistic is considered as an important factor to provide noise-immunity properties of the multi-channel genetic coding. Our results attest to the conformity of the algebraic properties of the U-numerical systems with phenomenological properties of the DNA-alphabets and with the complementary device of the double DNA-helix. It seems that in the modeling field of algebraic biology the genetic-informational organization of living bodies can be considered as a set of united-hypercomplex numbers in some association with the famous slogan of Pythagoras "the numbers rule the world". Copyright © 2017 Elsevier B.V. All rights reserved.

  15. Quantitative genetic analysis of total glucosinolate, oil and protein ...

    African Journals Online (AJOL)

    Quantitative genetic analysis of total glucosinolate, oil and protein contents in Ethiopian mustard ( Brassica carinata A. Braun) ... Seeds were analyzed using HPLC (glucosinolates), NMR (oil) and NIRS (protein). Analyses of variance, Hayman's method of diallel analysis and a mixed linear model of genetic analysis were ...

  16. A genetic analysis of Trichuris trichiura and Trichuris suis from Ecuador

    DEFF Research Database (Denmark)

    Meekums, Hayley; Hawash, Mohamed B F; Sparks, Alexandra M

    2015-01-01

    BACKGROUND: Since the nematodes Trichuris trichiura and T. suis are morphologically indistinguishable, genetic analysis is required to assess epidemiological cross-over between people and pigs. This study aimed to clarify the transmission biology of trichuriasis in Ecuador. FINDINGS: Adult...... Trichuris worms were collected during a parasitological survey of 132 people and 46 pigs in Esmeraldas Province, Ecuador. Morphometric analysis of 49 pig worms and 64 human worms revealed significant variation. In discriminant analysis morphometric characteristics correctly classified male worms according...... to genetically analyse Trichuris parasites. Although T. trichiura does not appear to be zoonotic in Ecuador, there is evidence of genetic exchange between T. trichiura and T. suis warranting more detailed genetic sampling....

  17. Analysis of undergraduate cell biology contents in Brazilian public universities.

    Science.gov (United States)

    Mermelstein, Claudia; Costa, Manoel Luis

    2017-04-01

    The enormous amount of information available in cell biology has created a challenge in selecting the core concepts we should be teaching our undergraduates. One way to define a set of essential core ideas in cell biology is to analyze what a specific cell biology community is teaching their students. Our main objective was to analyze the cell biology content currently being taught in Brazilian universities. We collected the syllabi of cell biology courses from public universities in Brazil and analyzed the frequency of cell biology topics in each course. We also compared the Brazilian data with the contents of a major cell biology textbook. Our analysis showed that while some cell biology topics such as plasma membrane and cytoskeleton was present in ∼100% of the Brazilian curricula analyzed others such as cell signaling and cell differentiation were present in only ∼35%. The average cell biology content taught in the Brazilian universities is quite different from what is presented in the textbook. We discuss several possible explanations for these observations. We also suggest a list with essential cell biology topics for any biological or biomedical undergraduate course. The comparative discussion of cell biology topics presented here could be valuable in other educational contexts. © 2017 The Authors. Cell Biology International Published by John Wiley & Sons Ltd on behalf of International Federation of Cell Biology.

  18. GENETIC ANALYSIS OF ABSCISIC ACID BIOSYNTHESIS

    Energy Technology Data Exchange (ETDEWEB)

    MCCARTY D R

    2012-01-10

    The carotenoid cleavage dioxygenases (CCD) catalyze synthesis of a variety of apo-carotenoid secondary metabolites in plants, animals and bacteria. In plants, the reaction catalyzed by the 11, 12, 9-cis-epoxy carotenoid dioxygenase (NCED) is the first committed and key regulated step in synthesis of the plant hormone, abscisic acid (ABA). ABA is a key regulator of plant stress responses and has critical functions in normal root and seed development. The molecular mechanisms responsible for developmental control of ABA synthesis in plant tissues are poorly understood. Five of the nine CCD genes present in the Arabidopsis genome encode NCED's involved in control of ABA synthesis in the plant. This project is focused on functional analysis of these five AtNCED genes as a key to understanding developmental regulation of ABA synthesis and dissecting the role of ABA in plant development. For this purpose, the project developed a comprehensive set of gene knockouts in the AtNCED genes that facilitate genetic dissection of ABA synthesis. These mutants were used in combination with key molecular tools to address the following specific objectives: (1) the role of ABA synthesis in root development; (2) developmental control of ABA synthesis in seeds; (3) analysis of ATNCED over-expressers; (4) preliminary crystallography of the maize VP14 protein.

  19. Systems genetic analysis of brown adipose tissue function

    Czech Academy of Sciences Publication Activity Database

    Pravenec, Michal; Saba, L. M.; Zídek, Václav; Landa, Vladimír; Mlejnek, Petr; Šilhavý, Jan; Šimáková, Miroslava; Strnad, Hynek; Trnovská, J.; Škop, V.; Hüttl, M.; Marková, I.; Oliyarnyk, O.; Malínská, H.; Kazdová, L.; Smith, H.; Tabakoff, B.

    2018-01-01

    Roč. 50, č. 1 (2018), s. 52-66 ISSN 1094-8341 R&D Projects: GA ČR(CZ) GA13-04420S Institutional support: RVO:67985823 Keywords : brown adipose tissue * coexpression modules * quantitative trait locus * recombinant inbred strains * spontaneously hypertensive rat Subject RIV: EB - Genetics ; Molecular Biology OBOR OECD: Human genetics Impact factor: 3.044, year: 2016

  20. Activation analysis of biological materials at the Activation Analysis Centre

    International Nuclear Information System (INIS)

    Kukula, F.; Obrusnik, I.; Simkova, M.; Kucera, J.; Krivanek, M.

    1976-01-01

    A review is presented of the work of the Activation Analysis Centre of the Nuclear Research Institute for different fields of the Czechoslovak economy, aimed primarily at analyzing biological materials with the purpose of determining the contents of the so-called vital trace elements and of elements which already have a toxic effect on the organism in trace concentrations. Another important field of research is the path of trace elements from the environment to the human organism. A destructive method for the simultaneous determination of 12 trace elements in 11 kinds of human tissue has been studied. (Z.M.)

  1. Constraints on Biological Mechanism from Disease Comorbidity Using Electronic Medical Records and Database of Genetic Variants.

    Directory of Open Access Journals (Sweden)

    Steven C Bagley

    2016-04-01

    Full Text Available Patterns of disease co-occurrence that deviate from statistical independence may represent important constraints on biological mechanism, which sometimes can be explained by shared genetics. In this work we study the relationship between disease co-occurrence and commonly shared genetic architecture of disease. Records of pairs of diseases were combined from two different electronic medical systems (Columbia, Stanford, and compared to a large database of published disease-associated genetic variants (VARIMED; data on 35 disorders were available across all three sources, which include medical records for over 1.2 million patients and variants from over 17,000 publications. Based on the sources in which they appeared, disease pairs were categorized as having predominant clinical, genetic, or both kinds of manifestations. Confounding effects of age on disease incidence were controlled for by only comparing diseases when they fall in the same cluster of similarly shaped incidence patterns. We find that disease pairs that are overrepresented in both electronic medical record systems and in VARIMED come from two main disease classes, autoimmune and neuropsychiatric. We furthermore identify specific genes that are shared within these disease groups.

  2. Biological underpinnings of trauma and post-traumatic stress disorder: focusing on genetics and epigenetics.

    Science.gov (United States)

    Ryan, Joanne; Chaudieu, Isabelle; Ancelin, Marie-Laure; Saffery, Richard

    2016-11-01

    Certain individuals are more susceptible to stress and trauma, as well as the physical and mental health consequences following such exposure, including risk for post-traumatic stress disorder (PTSD). This differing vulnerability is likely to be influenced by genetic predisposition and specific characteristics of the stress itself (nature, intensity and duration), as well as epigenetic mechanisms. In this review we provide an overview of research findings in this field. We highlight some of the key genetic risk factors identified for PTSD, and the evidence that epigenetic processes might play a role in the biological response to trauma, as well as being potential biomarkers of PTSD risk. We also discuss important considerations for future research in this area.

  3. [Molecular biology of renal cancer: bases for genetic directed therapy in advanced disease].

    Science.gov (United States)

    Maroto Rey, José Pablo; Cillán Narvaez, Elena

    2013-06-01

    There has been expansion of therapeutic options in the management of metastatic renal cell carcinoma due to a better knowledge of the molecular biology of kidney cancers. There are different tumors grouped under the term renal cell carcinoma, being clear cell cancer the most frequent and accounting for 80% of kidney tumors. Mutations in the Von Hippel-Lindau gene can be identified in up to 80% of sporadic clear cell cancer, linking a genetically inheritable disease where vascular tumors are frequent, with renal cell cancer. Other histologic types present specific alterations in molecular pathways, like c-MET in papillary type I tumors, and Fumarase Hydratase in papillary type II tumors. Identification of the molecular alteration for a specific tumor may offer an opportunity for treatment selection based on biomarkers, and, in the future, for developing an engineering designed genetic treatment.

  4. Genetic mitigation strategies to tackle agricultural GHG emissions: The case for biological nitrification inhibition technology.

    Science.gov (United States)

    Subbarao, G V; Arango, J; Masahiro, K; Hooper, A M; Yoshihashi, T; Ando, Y; Nakahara, K; Deshpande, S; Ortiz-Monasterio, I; Ishitani, M; Peters, M; Chirinda, N; Wollenberg, L; Lata, J C; Gerard, B; Tobita, S; Rao, I M; Braun, H J; Kommerell, V; Tohme, J; Iwanaga, M

    2017-09-01

    Accelerated soil-nitrifier activity and rapid nitrification are the cause of declining nitrogen-use efficiency (NUE) and enhanced nitrous oxide (N 2 O) emissions from farming. Biological nitrification inhibition (BNI) is the ability of certain plant roots to suppress soil-nitrifier activity, through production and release of nitrification inhibitors. The power of phytochemicals with BNI-function needs to be harnessed to control soil-nitrifier activity and improve nitrogen-cycling in agricultural systems. Transformative biological technologies designed for genetic mitigation are needed, so that BNI-enabled crop-livestock and cropping systems can rein in soil-nitrifier activity, to help reduce greenhouse gas (GHG) emissions and globally make farming nitrogen efficient and less harmful to environment. This will reinforce the adaptation or mitigation impact of other climate-smart agriculture technologies. Copyright © 2017 Elsevier B.V. All rights reserved.

  5. Best practices for the use and exchange of invertebrate biological control genetic resources relevant for food and agriculture

    NARCIS (Netherlands)

    Mason, P.G.; Cock, M.J.W.; Barratt, B.I.P.; Klapwijk, J.N.; Lenteren, van J.C.; Brodeur, J.; Hoelmer, K.A.; Heimpel, G.E.

    2018-01-01

    The Nagoya Protocol is a supplementary agreement to the Convention on Biological Diversity that provides a framework for the effective implementation of the fair and equitable sharing of benefits arising out of the utilization of genetic resources, including invertebrate biological control agents.

  6. "Sickle Cell Anemia: Tracking down a Mutation": An Interactive Learning Laboratory That Communicates Basic Principles of Genetics and Cellular Biology

    Science.gov (United States)

    Jarrett, Kevin; Williams, Mary; Horn, Spencer; Radford, David; Wyss, J. Michael

    2016-01-01

    "Sickle cell anemia: tracking down a mutation" is a full-day, inquiry-based, biology experience for high school students enrolled in genetics or advanced biology courses. In the experience, students use restriction endonuclease digestion, cellulose acetate gel electrophoresis, and microscopy to discover which of three putative patients…

  7. Genetic studies of body mass index yield new insights for obesity biology

    NARCIS (Netherlands)

    Locke, Adam E.; Kahali, Bratati; Berndt, Sonja I.; Justice, Anne E.; Pers, Tune H.; Day, Felix R.; Powell, Corey; Vedantam, Sailaja; Buchkovich, Martin L.; Yang, Jian; Croteau-Chonka, Damien C.; Esko, Tonu; Fall, Tove; Ferreira, Teresa; Gustafsson, Stefan; Kutalik, Zoltan; Luan, Jian'an; Maegi, Reedik; Randall, Joshua C.; Winkler, Thomas W.; Wood, Andrew R.; Workalemahu, Tsegaselassie; Faul, Jessica D.; Smith, Jennifer A.; Zhao, Jing Hua; Zhao, Wei; Chen, Jin; Fehrmann, Rudolf; Hedman, Asa K.; Karjalainen, Juha; Schmidt, Ellen M.; Absher, Devin; Amin, Najaf; Anderson, Denise; Beekman, Marian; Bolton, Jennifer L.; Bragg-Gresham, L.; Buyske, Steven; Demirkan, Ayse; Deng, Guohong; Ehret, Georg B.; Feenstra, Bjarke; Feitosa, Mary F.; Fischer, Krista; Goel, Anuj; Gong, Jian; Jackson, Anne U.; Kanoni, Stavroula; Kleber, Marcus E.; Kristiansson, Kati; Lim, Unhee; Lotay, Vaneet; Mangino, Massimo; Leach, Irene Mateo; Medina-Gomez, Carolina; Medland, Sarah E.; Nalls, Michael A.; Palmer, Cameron D.; Pasko, Dorota; Pechlivanis, Sonali; Peters, Marjolein J.; Prokopenko, Inga; Shungin, Dmitry; Stancakova, Alena; Strawbridge, Rona J.; Sung, Yun Ju; Tanaka, Toshiko; Teumer, Alexander; Trompet, Stella; van der Laan, Sander W.; van Setten, Jessica; Van Vliet-Ostaptchouk, Jana V.; Wang, Zhaoming; Yengo, Loic; Zhang, Weihua; Isaacs, Aaron; Albrecht, Eva; Arnlov, Johan; Arscott, Gillian M.; Attwood, Antony P.; Bandinelli, Stefania; Barrett, Amy; Bas, Isabelita N.; Bellis, Claire; Bennett, Amanda J.; Berne, Christian; Blagieva, Roza; Blueher, Matthias; Bohringer, Stefan; Bonnycastle, Lori L.; Boettcher, Yvonne; Boyd, Heather A.; Bruinenberg, Marcel; Caspersen, Ida H.; Chen, Yii-Der Ida; Clarke, Robert; Daw, E. Warwick; de Craen, Anton J. M.; Delgado, Graciela; Dimitriou, Maria; Doney, Alex S. F.; Eklund, Niina; Estrada, Karol; Eury, Elodie; Folkersen, Lasse; Fraser, Ross M.; Garcia, Melissa E.; Geller, Frank; Giedraitis, Vilmantas; Gigante, Bruna; Go, Alan S.; Golay, Alain; Goodall, Alison H.; Gordon, Scott D.; Gorski, Mathias; Grabe, Hans-Joergen; Grallert, Harald; Grammer, Tanja B.; Graessler, Jurgen; Gronberg, Henrik; Groves, Christopher J.; Gusto, Gaeelle; Haessler, Jeffrey; Hall, Per; Haller, Toomas; Hallmans, Goran; Hartman, Catharina A.; Hassinen, Maija; Hayward, Caroline; Heard-Costa, Nancy L.; Helmer, Qinta; Hengstenberg, Christian; Holmen, Oddgeir; Hottenga, Jouke-Jan; James, Alan L.; Jeff, Janina M.; Johansson, Asa; Jolley, Jennifer; Juliusdottir, Thorhildur; Kinnunen, Leena; Koenig, Wolfgang; Koskenvuo, Markku; Kratzer, Wolfgang; Laitinen, Jaana; Lamina, Claudia; Leander, Karin; Lee, Nanette R.; Lichtner, Peter; Lind, Lars; Lindstrom, Jaana; Lo, Ken Sin; Lobbens, Stephane; Lorbeer, Roberto; Lu, Yingchang; Mach, Francois; Magnusson, Patrik K. E.; Mahajan, Anubha; McArdle, Wendy L.; McLachlan, Stela; Menni, Cristina; Merger, Sigrun; Mihailov, Evelin; Milani, Lili; Moayyeri, Alireza; Monda, Keri L.; Morken, Mario A.; Mulas, Antonella; Mueller, Gabriele; Mueller-Nurasyid, Martina; Musk, Arthur W.; Nagaraja, Ramaiah; Noethen, Markus M.; Nolte, Ilja M.; Pilz, Stefan; Rayner, Nigel W.; Renstrom, Frida; Rettig, Rainer; Ried, Janina S.; Ripke, Stephan; Robertson, Neil R.; Rose, Lynda M.; Sanna, Serena; Scharnagl, Hubert; Scholtens, Salome; Schumacher, Fredrick R.; Scott, William R.; Seufferlein, Thomas; Shi, Jianxin; Smith, Albert Vernon; Smolonska, Joanna; Stanton, Alice V.; Steinthorsdottir, Valgerdur; Stirrups, Kathleen; Stringham, Heather M.; Sundstrom, Johan; Swertz, Morris A.; Swift, Amy J.; Syvanen, Ann-Christine; Tan, Sian-Tsung; Tayo, Bamidele O.; Thorand, Barbara; Thorleifsson, Gudmar; Tyrer, Jonathan P.; Uh, Hae-Won; Vandenput, Liesbeth; Verhulst, Frank C.; Vermeulen, Sita H.; Verweij, Niek; Vonk, Judith M.; Waite, Lindsay L.; Warren, Helen R.; Waterworth, Dawn; Weedon, Michael N.; Wilkens, Lynne R.; Willenborg, Christina; Wilsgaard, Tom; Wojczynski, Mary K.; Wong, Andrew; Wrightl, Alan F.; Zhang, Qunyuan; Brennan, Eoin P.; Choi, Murim; Dastani, Zari; Drong, Alexander W.; Eriksson, Per; Franco-Cereceda, Anders; Gadin, Jesper R.; Gharavi, Ali G.; Goddard, Michael E.; Handsaker, Robert E.; Huang, Jinyan; Karpe, Fredrik; Kathiresan, Sekar; Keildson, Sarah; Kiryluk, Krzysztof; Kubo, Michiaki; Lee, Jong-Young; Liang, Liming; Lifton, Richard P.; Ma, Baoshan; McCarroll, Steven A.; McKnight, Amy J.; Min, Josine L.; Moffatt, Miriam F.; Montgomery, Grant W.; Murabito, Joanne M.; Nicholson, George; Nyholt, Dale R.; Okada, Yukinori; Perry, John R. B.; Dorajoo, Rajkumar; Reinmaa, Eva; Salem, Rany M.; Sandholm, Niina; Scott, Robert A.; Stolk, Lisette; Takahashi, Atsushi; Tanaka, Toshihiro; van 't Hooft, Ferdinand M.; Vinkhuyzen, Anna A. E.; Westra, Harm-Jan; Zheng, Wei; Zondervan, Krina T.; Heath, Andrew C.; Arveiler, Dominique; Bakker, Stephan J. L.; Beilby, John; Bergman, Richard N.; Blangero, John; Bovet, Pascal; Campbell, Harry; Caulfield, Mark J.; Cesana, Giancarlo; Chakravarti, Aravinda; Chasman, Daniel I.; Chines, Peter S.; Collins, Francis S.; Crawford, Dana C.; Cupples, L. Adrienne; Cusi, Daniele; Danesh, John; de Faire, Ulf; den Ruijter, Hester M.; Dominiczak, Anna F.; Erbel, Raimund; Erdmann, Jeanette; Eriksson, Johan G.; Farrall, Martin; Felix, Stephan B.; Ferrannini, Ele; Ferrieres, Jean; Ford, Ian; Forouhi, Nita G.; Forrester, Terrence; Franco, Oscar H.; Gansevoort, Ron T.; Gejman, Pablo V.; Gieger, Christian; Gottesman, Omri; Gudnason, Vilmundur; Gyllensten, Ulf; Hall, Alistair S.; Harris, Tamara B.; Hattersley, Andrew T.; Hicks, Andrew A.; Hindorff, Lucia A.; Hingorani, Aroon D.; Hofman, Albert; Homuth, Georg; Hovingh, G. Kees; Humphries, Steve E.; Hunt, Steven C.; Hypponen, Elina; Illig, Thomas; Jacobs, Kevin B.; Jarvelin, Marjo-Riitta; Joeckel, Karl-Heinz; Johansen, Berit; Jousilahti, Pekka; Jukema, J. Wouter; Jula, Antti M.; Kaprio, Jaakko; Kastelein, John J. P.; Keinanen-Kiukaanniemi, Sirkka M.; Kiemeney, Lambertus A.; Knekt, Paul; Kooner, Jaspal S.; Kooperberg, Charles; Kovacs, Peter; Kraja, Aldi T.; Kumari, Meena; Kuusisto, Johanna; Lakka, Timo A.; Langenberg, Claudia; Le Marchand, Laic; Lehtimaki, Terho; Lyssenko, Valeriya; Mannisto, Satu; Marette, Andre; Matise, Tara C.; McKenzie, Colin A.; McKnight, Barbara; Moll, Frans L.; Morris, Andrew D.; Morris, Andrew P.; Murray, Jeffrey C.; Nelis, Mari; Ohlsson, Claes; Oldehinkel, Albertine J.; Ong, Ken K.; Madden, Pamela A. F.; Pasterkamp, Gerard; Peden, John F.; Peters, Annette; Postma, Dirkje S.; Pramstaller, Peter P.; Price, Jackie F.; Qi, Lu; Raitakari, Olli T.; Rankinen, Tuomo; Rao, D. C.; Rice, Treva K.; Ridker, Paul M.; Rioux, John D.; Ritchie, Marylyn D.; Rudan, Igor; Salomaa, Veikko; Samani, Nilesh J.; Saramines, Jouko; Sarzynski, Mark A.; Schunkert, Heribert; Schwarz, Peter E. H.; Sever, Peter; Shuldiner, Alan R.; Sinisalo, Juha; Stolk, Ronald P.; Strauch, Konstantin; Toenjes, Anke; Tregouet, David-Alexandre; Tremblay, Angelo; Tremoli, Elena; Virtamo, Jarmo; Vohl, Marie-Claude; Voelker, Uwe; Waeber, Gerard; Willemsen, Gonneke; Witteman, Jacqueline C.; Zillikens, M. Carola; Adair, Linda S.; Amouyel, Philippe; Asselbergs, Folkert W.; Assimes, Themistocles L.; Bochud, Murielle; Boehm, Bernhard O.; Boerwinkle, Eric; Bornstein, Stefan R.; Bottinger, Erwin P.; Bouchard, Claude; Cauchi, Stephane; Chambers, John C.; Chanock, Stephen J.; Cooper, Richard S.; de Bakker, Paul I. W.; Dedoussis, George; Ferrucci, Luigi; Franks, Paul W.; Froguel, Philippe; Groop, Leif C.; Haiman, Christopher A.; Hamsten, Anders; Hui, Jennie; Hunter, David J.; Hveem, Kristian; Kaplan, Robert C.; Kivimaki, Mika; Kuh, Diana; Laakso, Markku; Liu, Yongmei; Martin, Nicholas G.; Maerz, Winfried; Melbve, Mads; Metspalu, Andres; Moebus, Susanne; Munroe, Patricia B.; Njolstad, Inger; Oostra, Ben A.; Palmer, Colin N. A.; Pedersen, Nancy L.; Perola, Markus; Perusse, Louis; Peters, Ulrike; Power, Chris; Quertermous, Thomas; Rauramaa, Rainer; Rivadeneira, Fernando; Saaristo, Timo E.; Saleheen, Danish; Sattar, Naveed; Schadt, Eric E.; Schlessinger, David; Slagboom, P. Eline; Snieder, Harold; Spector, Tim D.; Thorsteinsdottir, Unnu R.; Stumvoll, Michael; Tuomilehto, Jaakko; Uitterlinden, Andre G.; Uusitupa, Matti; van der Harst, Pim; Walker, Mark; Wallaschofski, Henri; Wareham, Nicholas J.; Watkins, Hugh; Weir, David R.; Wichmann, H-Erich; Wilson, James F.; Zanen, Pieter; Borecki, Ingrid B.; Deloukas, Panos; Fox, Caroline S.; Heid, Iris M.; O'Connell, Jeffrey R.; Strachan, David P.; Stefansson, Kari; van Duijri, Cornelia M.; Abecasis, Goncalo R.; Franke, Lude; Frayling, Timothy M.; McCarthy, Mark I.; Visscher, Peter M.; Scherag, Andre; Willer, Cristen J.; Boehnke, Michael; Mohlke, Karen L.; Lindgren, Cecilia M.; Beckmann, Jacques S.; Barroso, Ines; North, Kari E.; Ingelsson, Erik; Hirschhorn, Joel N.; Loos, Ruth J. F.; Speliotes, Elizabeth K.; Peeters, P; Broekmans, FJM; van Gils, CH; van der Schouw, YT; Fauser, BCJM; Uiterwaal, C.S.P.M.; Bots, Michael L

    2015-01-01

    Obesity is heritable and predisposes to many diseases. To understand the genetic basis of obesity better, here we conduct a genome-wide association study and Metabochip meta-analysis of body mass index (BMI), a measure commonly used to define obesity and assess adiposity, in upto 339,224

  8. Genetic studies of body mass index yield new insights for obesity biology

    NARCIS (Netherlands)

    Locke, A.E.; Kahali, B.; Berndt, S.I.; Justice, A.E.; Pers, T.H.; Day, F.R.; Powell, C.; Vedantam, S.; Buchkovich, M.L.; Yang, J.; Croteau-Chonka, D.C.; Esko, T.; Fall, T.; Ferreira, T.; Gustafsson, S.; Kutalik, Z.; Luan, J.; Maegi, R.; Randall, J.C.; Winkler, T.W.; Wood, A.R.; Workalemahu, T.; Faul, J.D.; Smith, J.A.; Zhao, J.H.; Zhao, W.; Chen, J.; Fehrmann, R.; Hedman, A.K.; Karjalainen, J.; Schmidt, E.M.; Absher, D.; Amin, N.; Anderson, D.; Beekman, M.; Bolton, J.L.; Bragg-Gresham, L.; Buyske, S.; Demirkan, A.; Deng, G.; Ehret, G.B.; Feenstra, B.; Feitosa, M.F.; Fischer, K.; Goel, A.; Gong, J.; Jackson, A.U.; Kanoni, S.; Kleber, M.E.; Kristiansson, K.; Lim, U.; Lotay, V.; Mangino, M.; Leach, I.M.; Medina-Gomez, C.; Medland, S.E.; Nalls, M.A.; Palmer, C.D.; Pasko, D.; Pechlivanis, S.; Peters, MJ; Prokopenko, I.; Shungin, D.; Stancakova, A.; Strawbridge, R.J.; Sung, Y.J.; Teumer, A.; Trompet, S.; van der Laan, S.W.; van Settee, J.; Van Vliet-Ostaptchouk, J.V.; Wang, Z.; Yengo, L.; Zhang, W.; Isaacs, A.; Albrecht, E.; Arnlov, J.; Arscott, G.M.; Attwood, A.P.; Bandinelli, S.; Barrett, A.; Bas, I.N.; Bellis, C.; Bennett, A.J.; Berne, C.; Blagieva, R.; Blueher, M.; Bohringer, S.; Bonnycastle, L.L.; Boettcher, Y.; Boyd, H.A.; Bruinenberg, M.; Caspersen, I.H.; Chen, Y.I.; Clarke, R.; Daw, E.W.; de Craen, A.J.M.; Delgado, G.; Dimitriou, M.; Doney, A.S.F.; Eklund, N.; Estrada, K.; Eury, E.; Folkersen, L.; Fraser, R.M.; Garcia, M.E.; Geller, F.; Giedraitis, V.; Gigante, B.; Go, A.S.; Golay, A.; Goodall, A.H.; Gordon, S.D.; Gorski, M.; Grabe, H.; Grallert, H.; Grammer, T.B.; Graessler, J.; Gronberg, H.; Groves, C.J.; Gusto, G.; Haessler, J.; Hall, P.; Haller, T.; Hallmans, G.; Hartman, C.A.; Hassinen, M.; Hayward, C.; Heard-Costa, N.L.; Helmer, Q.; Hengstenberg, C.; Holmen, O.; Hottenga, J.J.; James, A.L.; Jeff, J.M.; Johansson, A.; Jolley, J.; Juliusdottir, T.; Kinnunen, L.; Koenig, W.; Koskenvuo, M.; Kratzer, W.; Laitinen, J.; Lamina, C.; Leander, K.; Lee, N.R.; Lichtner, P.; Lind, L.; Lindstrom, J.; Lo, K.S.; Lobbens, S.; Lorbeer, R.; Lu, Y.; Mach, F.; Magnusson, P.K.E.; Mahajan, A.; McArdle, W.L.; McLachlan, S.; Menni, C.; Merger, S.; Mihailov, E.; Milani, L.; Moayyeri, A.; Monda, K.L.; Morken, M.A.; Mulas, A.; Mueller, G.; Mueller-Nurasyid, M.; Musk, A.W.; Nagaraja, R.; Noethen, M.M.; Nolte, I.M.; Pilz, S.; Rayner, N.W.; Renstrom, F.; Rettig, R.; Ried, J.S.; Ripke, S.; Robertson, N.R.; Rose, L.M.; Sanna, S.; Scharnagl, H.; Scholtens, S.; Schumacher, F.R.; Scott, W.R.; Seufferlein, T.; Shi, J.; Smith, A.V.; Smolonska, J.; Stanton, A.V.; Steinthorsdottir, V.; Stirrups, K.; Stringham, H.M.; Sundstrom, J.; Swertz, M.A.; Swift, A.J.; Syvanen, A.; Tan, S.; Tayo, B.O.; Thorand, B.; Thorleifsson, G.; Tyrer, J.P.; Uh, H.; Vandenput, L.; Verhulst, F.C.; Vermeulen, S.H.; Verweij, N.; Vonk, J.M.; Waite, L.L.; Warren, H.R.; Waterworth, D.; Weedon, M.N.; Wilkens, L.R.; Willenborg, C.; Wilsgaard, T.; Wojczynski, M.K.; Wong, A.; Wrightl, A.F.; Zhang, Q.; Brennan, E.P.; Choi, M.; Dastani, Z.; Drong, A.W.; Eriksson, P.; Franco-Cereceda, A.; Gadin, J.R.; Gharavi, A.G.; Goddard, M.E.; Handsaker, R.E.; Huang, J.; Karpe, F.; Kathiresan, S.; Keildson, S.; Kiryluk, K.; Kubo, M.; Lee, J.; Liang, L.; Lifton, R.P.; Ma, B.; McCarroll, S.A.; McKnight, A.J.; Min, J.L.; Moffatt, M.F.; Montgomery, G.W.; Murabito, J.M.; Nicholson, G.; Nyholt, DR; Okada, Y.; Perry, J.R.B.; Dorajoo, R.; Reinmaa, E.; Salem, R.M.; Sandholm, N.; Scott, R.A.; Stolk, L.; Takahashi, A.; Tanaka, T.; van 't Hooft, F.M.; Vinkhuyzen, A.A.E.; Westra, H.; Zheng, W.; Zondervan, K.T.; Heath, A.C.; Arveiler, D.; Bakker, S.J.L.; Beilby, J.; Bergman, R.N.; Blangero, J.; Bovet, P.; Campbell, H.; Caulfield, M.J.; Cesana, G.; Chakravarti, A.; Chasman, D.I.; Chines, P.S.; Collins, F.S.; Crawford, D.C.; Cupples, L.A.; Cusi, D.; Danesh, J.; de Faire, U.; den Ruijter, H.M.; Dominiczak, A.F.; Erbel, R.; Erdmann, J.; Eriksson, J.G.; Farrall, M.; Felix, S.B.; Ferrannini, E.; Ferrieres, J.; Ford, I.; Forouhi, N.G.; Forrester, T.; Franco, O.H.; Gansevoort, R.T.; Gejman, P. V.; Gieger, C.; Gottesman, O.; Gudnason, V.; Gyllensten, U.; Hall, A.S.; Harris, T.B.; Hattersley, A.T.; Hicks, A.A.; Hindorff, L.A.; Hingorani, A.D.; Hofman, A.; Homuth, G.; Hovingh, G.K.; Humphries, S.E.; Hunt, S.C.; Hypponen, E.; Illig, T.; Jacobs, K.B.; Jarvelin, M.; Joeckel, K.; Johansen, B.; Jousilahti, P.; Jukema, J.W.; Jula, A.M.; Kaprio, J.; Kastelein, J.J.P.; Keinanen-Kiukaanniemi, S.M.; Kiemeney, L.A.; Knekt, P.; Kooner, J.S.; Kooperberg, C.; Kovacs, P.; Kraja, A.T.; Kumari, M.; Kuusisto, J.; Lakka, T.A.; Langenberg, C.; Le Marchand, L.; Lehtimaki, T.; Lyssenko, V.; Mannisto, S.; Marette, A.; Matise, T.C.; McKenzie, C.A.; McKnight, B.; Moll, F.L.; Morris, A.D.; Morris, A.P.; Murray, J.C.; Nelis, M.; Ohlsson, C.; Oldehinkel, A.J.; Ong, K.K.; Madden, P.A.F.; Pasterkamp, G.; Peden, J.F.; Peters, A.; Postma, D.S.; Pramstaller, P.P.; Price, J.F.; Qi, L.; Raitakari, O.T.; Rankinen, T.; Rao, D.C.; Rice, T.K.; Ridker, P.M.; Rioux, J.D.; Ritchie, M.D.; Rudan, I.; Salomaa, V.; Samani, N.J.; Saramines, J.; Sarzynski, M.A.; Schunkert, H.; Schwarz, P.E.H.; Sever, P.; Shuldiner, A.R.; Sinisalo, J.; Stolk, R.P; Strauch, K.; Toenjes, A.; Tregouet, D.; Tremblay, A.; Tremoli, E.; Virtamo, J.; Vohl, M.; Voelker, U.; Waeber, G.; Willemsen, G.; Witteman, J.C.; Zillikens, M.C.; Adair, L.S.; Amouyel, P.; Asselbergs, F.W.; Assimes, T.L.; Bochud, M.; Boehm, B.O.; Boerwinkle, E.; Bornstein, S.R.; Bottinger, E.P.; Bouchard, C.; Cauchi, S.; Chambers, J.C.; Chanock, S.J.; Cooper, R.S.; de Bakker, P.I.W.; Dedoussis, G.; Ferrucci, L.; Franks, P.W.; Froguel, P.; Groop, L.C.; Haiman, C.A.; Hamsten, A.; Hui, J.; Hunter, D.J.; Hveem, K.; Kaplan, R.C.; Kivimaki, M.; Kuh, D; Laakso, M.; Liu, Y.; Martin, N.G.; Maerz, W.; Melbve, M.; Metspalu, A.; Moebus, S.; Munroe, P.B.; Njolstad, I.; Oostra, B.A.; Palmer, C.N.A.; Pedersen, N.L.; Perola, M.; Perusse, L.; Peters, U.; Power, C.; Quertermous, T.; Rauramaa, R.; Rivadeneira, F.; Saaristo, T.E.; Saleheen, D.; Sattar, N.; Schadt, E.E.; Schlessinger, D.; Slagboom, P.E.; Snieder, H.; Spector, T.D.; Thorsteinsdottir, U.R.; Stumvoll, M.; Tuomilehto, J.; Uitterlinden, A. G.; Uusitupa, M.; van der Harst, P.; Walker, M.; Wallaschofski, H.; Wareham, N.J.; Watkins, H.; Weir, D.R.; Wichmann, H.-.; Wilson, J.F.; Zanen, P.; Borecki, I.B.; Deloukas, P.; Fox, C.S.; Heid, I.M.; O'Connell, J.R.; Strachan, D.P.; Stefansson, K.; van Duijri, C.M.; Abecasis, G.R.; Franke, L.; Frayling, T.M.; McCarthy, M.I.; Visscher, P. M.; Scherag, A.; Willer, C.J.; Boehnke, M.; Mohlke, K.L.; Lindgren, C.M.; Beckmann, J.S.; Barroso, I.; North, K.E.; Ingelsson, E.; Hirschhorn, J.N.; Loos, R.J.F.; Speliotes, E.K.

    2015-01-01

    Obesity is heritable and predisposes to many diseases. To understand the genetic basis of obesity better, here we conduct a genome-wide association study and Metabochip meta-analysis of body mass index (BMI), a measure commonly used to define obesity and assess adiposity, in up to 339,224

  9. Analysis of arsenical metabolites in biological samples.

    Science.gov (United States)

    Hernandez-Zavala, Araceli; Drobna, Zuzana; Styblo, Miroslav; Thomas, David J

    2009-11-01

    Quantitation of iAs and its methylated metabolites in biological samples provides dosimetric information needed to understand dose-response relations. Here, methods are described for separation of inorganic and mono-, di-, and trimethylated arsenicals by thin layer chromatography. This method has been extensively used to track the metabolism of the radionuclide [(73)As] in a variety of in vitro assay systems. In addition, a hydride generation-cryotrapping-gas chromatography-atomic absorption spectrometric method is described for the quantitation of arsenicals in biological samples. This method uses pH-selective hydride generation to differentiate among arsenicals containing trivalent or pentavalent arsenic.

  10. Instrumental neutron activation analysis of biological samples

    International Nuclear Information System (INIS)

    Guinn, V.P.; Gavrilas, M.

    1990-01-01

    The elemental compositions of 18 biological reference materials have been processed, for 14 stepped combinations of irradiation/decay/counting times, by the INAA Advance Prediction Computer Program. The 18 materials studied include 11 plant materials, 5 animal materials, and 2 other biological materials. Of these 18 materials, 14 are NBS Standard Reference Materials and four are IAEA reference materials. Overall, the results show that a mean of 52% of the input elements can be determined to a relative standard deviation of ±10% or better by reactor flux (thermal plus epithermal) INAA

  11. Economic Analysis of Biological Invasions in Forests

    Science.gov (United States)

    Tomas P. Holmes; Julian Aukema; Jeffrey Englin; Robert G. Haight; Kent Kovacs; Brian Leung

    2014-01-01

    Biological invasions of native forests by nonnative pests result from complex stochastic processes that are difficult to predict. Although economic optimization models describe efficient controls across the stages of an invasion, the ability to calibrate such models is constrained by lack of information on pest population dynamics and consequent economic damages. Here...

  12. Genetic analysis of the Venezuelan Criollo horse.

    Science.gov (United States)

    Cothran, E G; Canelon, J L; Luis, C; Conant, E; Juras, R

    2011-10-07

    Various horse populations in the Americas have an origin in Spain; they are remnants of the first livestock introduced to the continent early in the colonial period (16th and 17th centuries). We evaluated genetic variability within the Venezuelan Criollo horse and its relationship with other horse breeds. We observed high levels of genetic diversity within the Criollo breed. Significant population differentiation was observed between all South American breeds. The Venezuelan Criollo horse showed high levels of genetic diversity, and from a conservation standpoint, there is no immediate danger of losing variation unless there is a large drop in population size.

  13. Pectin: cell biology and prospects for functional analysis.

    Science.gov (United States)

    Willats, W G; McCartney, L; Mackie, W; Knox, J P

    2001-09-01

    Pectin is a major component of primary cell walls of all land plants and encompasses a range of galacturonic acid-rich polysaccharides. Three major pectic polysaccharides (homogalacturonan, rhamnogalacturonan-I and rhamnogalacturonan-II) are thought to occur in all primary cell walls. This review surveys what is known about the structure and function of these pectin domains. The high degree of structural complexity and heterogeneity of the pectic matrix is produced both during biosynthesis in the endomembrane system and as a result of the action of an array of wall-based pectin-modifying enzymes. Recent developments in analytical techniques and in the generation of anti-pectin probes have begun to place the structural complexity of pectin in cell biological and developmental contexts. The in muro de-methyl-esterification of homogalacturonan by pectin methyl esterases is emerging as a key process for the local modulation of matrix properties. Rhamnogalacturonan-I comprises a highly diverse population of spatially and developmentally regulated polymers, whereas rhamnogalacturonan-II appears to be a highly conserved and stable pectic domain. Current knowledge of biosynthetic enzymes, plant and microbial pectinases and the interactions of pectin with other cell wall components and the impact of molecular genetic approaches are reviewed in terms of the functional analysis of pectic polysaccharides in plant growth and development.

  14. Biological Networks Entropies: Examples in Neural Memory Networks, Genetic Regulation Networks and Social Epidemic Networks

    Directory of Open Access Journals (Sweden)

    Jacques Demongeot

    2018-01-01

    Full Text Available Networks used in biological applications at different scales (molecule, cell and population are of different types: neuronal, genetic, and social, but they share the same dynamical concepts, in their continuous differential versions (e.g., non-linear Wilson-Cowan system as well as in their discrete Boolean versions (e.g., non-linear Hopfield system; in both cases, the notion of interaction graph G(J associated to its Jacobian matrix J, and also the concepts of frustrated nodes, positive or negative circuits of G(J, kinetic energy, entropy, attractors, structural stability, etc., are relevant and useful for studying the dynamics and the robustness of these systems. We will give some general results available for both continuous and discrete biological networks, and then study some specific applications of three new notions of entropy: (i attractor entropy, (ii isochronal entropy and (iii entropy centrality; in three domains: a neural network involved in the memory evocation, a genetic network responsible of the iron control and a social network accounting for the obesity spread in high school environment.

  15. Genetic analysis of cardiovascular risk factor clustering in spontaneous hypertension

    Czech Academy of Sciences Publication Activity Database

    Pravenec, Michal; Zídek, Václav; Landa, Vladimír; Kostka, Vlastimil; Musilová, Alena; Kazdová, L.; Fučíková, A.; Křenová, D.; Bílá, V.; Křen, Vladimír

    2000-01-01

    Roč. 46, - (2000), s. 233-240 ISSN 0015-5497 R&D Projects: GA MŠk LN00A079; GA ČR GA305/00/1646; GA ČR GA301/00/1636; GA MZd NB4904 Subject RIV: EB - Genetics ; Molecular Biology Impact factor: 0.667, year: 2000

  16. Personality and divorce: a genetic analysis.

    Science.gov (United States)

    Jocklin, V; McGue, M; Lykken, D T

    1996-08-01

    M. McGue and D.T. Lykken (1992) found that divorce risk was, to a substantial degree, genetically mediated; prior research has identified numerous social and psychological factors that affect divorce risk (G.C. Kitson, K.B. Barbi, & M.J. Roach, 1985). The present study attempted to link these domains by examining the extent to which genetic influences on one such psychological factor, personality, explain divorce risk heritability. A sample of adult twins from the Minnesota Twin Registry completed a marital history questionnaire and the Multidimensional Personality Questionnaire (A. Tellegen, 1982). Positive Emotionality and Negative Emotionality factors were positively related to divorce risk, whereas Constraint was negatively related. In women and men, respectively, 30% and 42% of the heritability of divorce risk consisted of genetic factors affecting personality and divorce risk correlated largely as a result of these common genetic influences.

  17. Genetic algorithms and supernovae type Ia analysis

    International Nuclear Information System (INIS)

    Bogdanos, Charalampos; Nesseris, Savvas

    2009-01-01

    We introduce genetic algorithms as a means to analyze supernovae type Ia data and extract model-independent constraints on the evolution of the Dark Energy equation of state w(z) ≡ P DE /ρ DE . Specifically, we will give a brief introduction to the genetic algorithms along with some simple examples to illustrate their advantages and finally we will apply them to the supernovae type Ia data. We find that genetic algorithms can lead to results in line with already established parametric and non-parametric reconstruction methods and could be used as a complementary way of treating SNIa data. As a non-parametric method, genetic algorithms provide a model-independent way to analyze data and can minimize bias due to premature choice of a dark energy model

  18. Complexity, Analysis and Control of Singular Biological Systems

    CERN Document Server

    Zhang, Qingling; Zhang, Xue

    2012-01-01

    Complexity, Analysis and Control of Singular Biological Systems follows the control of real-world biological systems at both ecological and phyisological levels concentrating on the application of now-extensively-investigated singular system theory. Much effort has recently been dedicated to the modelling and analysis of developing bioeconomic systems and the text establishes singular examples of these, showing how proper control can help to maintain sustainable economic development of biological resources. The book begins from the essentials of singular systems theory and bifurcations before tackling  the use of various forms of control in singular biological systems using examples including predator-prey relationships and viral vaccination and quarantine control. Researchers and graduate students studying the control of complex biological systems are shown how a variety of methods can be brought to bear and practitioners working with the economics of biological systems and their control will also find the ...

  19. The rise of developmental genetics - a historical account of the fusion of embryology and cell biology with human genetics and the emergence of the Stem Cell Initiative.

    Science.gov (United States)

    Kidson, S H; Ballo, R; Greenberg, L J

    2016-05-25

    Genetics and cell biology are very prominent areas of biological research with rapid advances being driven by a flood of theoretical, technological and informational knowledge. Big biology and small biology continue to feed off each other. In this paper, we provide a brief overview of the productive interactions that have taken place between human geneticists and cell biologists at UCT, and credit is given to the enabling environment created led by Prof. Peter Beighton. The growth of new disciplines and disciplinary mergers that have swept away division of the past to make new exciting syntheses are discussed. We show how our joint research has benefitted from worldwide advances in developmental genetics, cloning and stem cell technologies, genomics, bioinformatics and imaging. We conclude by describing the role of the UCT Stem Cell Initiative and show how we are using induced pluripotent cells to carry out disease-in-the- dish studies on retinal degeneration and fibrosis.

  20. Analysis and enumeration algorithms for biological graphs

    CERN Document Server

    Marino, Andrea

    2015-01-01

    In this work we plan to revise the main techniques for enumeration algorithms and to show four examples of enumeration algorithms that can be applied to efficiently deal with some biological problems modelled by using biological networks: enumerating central and peripheral nodes of a network, enumerating stories, enumerating paths or cycles, and enumerating bubbles. Notice that the corresponding computational problems we define are of more general interest and our results hold in the case of arbitrary graphs. Enumerating all the most and less central vertices in a network according to their eccentricity is an example of an enumeration problem whose solutions are polynomial and can be listed in polynomial time, very often in linear or almost linear time in practice. Enumerating stories, i.e. all maximal directed acyclic subgraphs of a graph G whose sources and targets belong to a predefined subset of the vertices, is on the other hand an example of an enumeration problem with an exponential number of solutions...

  1. Parametric inference for biological sequence analysis.

    Science.gov (United States)

    Pachter, Lior; Sturmfels, Bernd

    2004-11-16

    One of the major successes in computational biology has been the unification, by using the graphical model formalism, of a multitude of algorithms for annotating and comparing biological sequences. Graphical models that have been applied to these problems include hidden Markov models for annotation, tree models for phylogenetics, and pair hidden Markov models for alignment. A single algorithm, the sum-product algorithm, solves many of the inference problems that are associated with different statistical models. This article introduces the polytope propagation algorithm for computing the Newton polytope of an observation from a graphical model. This algorithm is a geometric version of the sum-product algorithm and is used to analyze the parametric behavior of maximum a posteriori inference calculations for graphical models.

  2. Are Aquatic Viruses a Biological Archive of Genetic Information from Universe?

    Science.gov (United States)

    Toparceanu, F.; Negoita, Gh. T.; Nita, I. I.; Sava, D.

    2009-04-01

    After 1990, when the viruses were admited as the most abundant lifeforms from aquatic environments, it became obvious that viral lysis had an essential role on release and recycling of nutrients. Studies on cellular cultures and modeling suggest that this is an important quantitative process. The viruses from oceans represent the widest source of genetic diversity on the Earth, uncharacterized yet. The ancient lifeforms records stretching back a million years are locked in ice caps. The trend of glaciers melting as effect of actual climate change will promote the release of ancient viruses from ice caps. The increasing of the freshwater layer led to the replace of some algae species by others. Law-Racovitza Station (69o23'S 76o23'E) from East Antarctica (Larsemann Hills Oasis) offers opportunities to study the Antarctic marine ecosystem, as well as archaic aquatic ecosystems from this area ( 150 lakes and waterways resulted from ice and snow melting during the austral summer). According to Law-Racovitza Station Scientific Program, we are performing studies regarding the effect of climate changes on virus-algae host relationship in these aquatic ecosystems. Phycodnaviruses, that infect the eukaryote algae, are comprised of ancient genes and they are considered a "peek" of genetic diversity useful in biological studies and exobiology regarding the evolution of genetic sequencing. The latest discoveries of the giant aquatic viruses open the unexpected perspectives for understanding the role of viral infection in global ecosystem; beyond the old concept which considered that the viruses were only etiological agents of human, animals and plants illnesses. The aquatic viruses which infect microalgae contain similar genes of other viruses, bacteria, arhebacteria and eukaryotes, all of them being on the same genome. Which is the signification of enormous abundance of viruses and excessive diversity of genetic information encoded by viruses? There is the possibility that

  3. Sirius PSB: a generic system for analysis of biological sequences.

    Science.gov (United States)

    Koh, Chuan Hock; Lin, Sharene; Jedd, Gregory; Wong, Limsoon

    2009-12-01

    Computational tools are essential components of modern biological research. For example, BLAST searches can be used to identify related proteins based on sequence homology, or when a new genome is sequenced, prediction models can be used to annotate functional sites such as transcription start sites, translation initiation sites and polyadenylation sites and to predict protein localization. Here we present Sirius Prediction Systems Builder (PSB), a new computational tool for sequence analysis, classification and searching. Sirius PSB has four main operations: (1) Building a classifier, (2) Deploying a classifier, (3) Search for proteins similar to query proteins, (4) Preliminary and post-prediction analysis. Sirius PSB supports all these operations via a simple and interactive graphical user interface. Besides being a convenient tool, Sirius PSB has also introduced two novelties in sequence analysis. Firstly, genetic algorithm is used to identify interesting features in the feature space. Secondly, instead of the conventional method of searching for similar proteins via sequence similarity, we introduced searching via features' similarity. To demonstrate the capabilities of Sirius PSB, we have built two prediction models - one for the recognition of Arabidopsis polyadenylation sites and another for the subcellular localization of proteins. Both systems are competitive against current state-of-the-art models based on evaluation of public datasets. More notably, the time and effort required to build each model is greatly reduced with the assistance of Sirius PSB. Furthermore, we show that under certain conditions when BLAST is unable to find related proteins, Sirius PSB can identify functionally related proteins based on their biophysical similarities. Sirius PSB and its related supplements are available at: http://compbio.ddns.comp.nus.edu.sg/~sirius.

  4. Colloquium paper: uniquely human evolution of sialic acid genetics and biology.

    Science.gov (United States)

    Varki, Ajit

    2010-05-11

    Darwinian evolution of humans from our common ancestors with nonhuman primates involved many gene-environment interactions at the population level, and the resulting human-specific genetic changes must contribute to the "Human Condition." Recent data indicate that the biology of sialic acids (which directly involves less than 60 genes) shows more than 10 uniquely human genetic changes in comparison with our closest evolutionary relatives. Known outcomes are tissue-specific changes in abundant cell-surface glycans, changes in specificity and/or expression of multiple proteins that recognize these glycans, and novel pathogen regimes. Specific events include Alu-mediated inactivation of the CMAH gene, resulting in loss of synthesis of the Sia N-glycolylneuraminic acid (Neu5Gc) and increase in expression of the precursor N-acetylneuraminic acid (Neu5Ac); increased expression of alpha2-6-linked Sias (likely because of changed expression of ST6GALI); and multiple changes in SIGLEC genes encoding Sia-recognizing Ig-like lectins (Siglecs). The last includes binding specificity changes (in Siglecs -5, -7, -9, -11, and -12); expression pattern changes (in Siglecs -1, -5, -6, and -11); gene conversion (SIGLEC11); and deletion or pseudogenization (SIGLEC13, SIGLEC14, and SIGLEC16). A nongenetic outcome of the CMAH mutation is human metabolic incorporation of foreign dietary Neu5Gc, in the face of circulating anti-Neu5Gc antibodies, generating a novel "xeno-auto-antigen" situation. Taken together, these data suggest that both the genes associated with Sia biology and the related impacts of the environment comprise a relative "hot spot" of genetic and physiological changes in human evolution, with implications for uniquely human features both in health and disease.

  5. Draft genome of the medaka fish: a comprehensive resource for medaka developmental genetics and vertebrate evolutionary biology.

    Science.gov (United States)

    Takeda, Hiroyuki

    2008-06-01

    The medaka Oryzias latipes is a small egg-laying freshwater teleost, and has become an excellent model system for developmental genetics and evolutionary biology. The medaka genome is relatively small in size, approximately 800 Mb, and the genome sequencing project was recently completed by Japanese research groups, providing a high-quality draft genome sequence of the inbred Hd-rR strain of medaka. In this review, I present an overview of the medaka genome project including genome resources, followed by specific findings obtained with the medaka draft genome. In particular, I focus on the analysis that was done by taking advantage of the medaka system, such as the sex chromosome differentiation and the regional history of medaka species using single nucleotide polymorphisms as genomic markers.

  6. Genetic background and 227Thorium as risk factors in biologically based models for induction of bone cancer in mice

    International Nuclear Information System (INIS)

    Heidenreich, W.F.; Rosemann, M.

    2012-01-01

    We explore the potential for the biologically based two-stage clonal expansion model to make statements about the influence of genetic factors on the steps in the model. We find evidence that the different susceptibility of BALB/C and CBA/Ca mice to bone cancer after 227 Thorium injection may be mostly due to different promotional responses to radiation. In BALB/C x CBA/Ca back-crossed mice, we analyzed the specific contribution of two individual loci in the carcinogenic process. This analysis suggests that the two high- or low-risk alleles are acting on promotion or on the background parameters, but not on radiation-induced initiation. Taken together with the comparison of CBA/Ca and BALB/C mice, this hints at the possibility that the two loci are candidates for modifying radiation-induced promotion. (orig.)

  7. A comparative analysis of South African Life Sciences and Biology ...

    African Journals Online (AJOL)

    This study reports on the analysis of South African Life Sciences and Biology textbooks for the inclusion of the nature of science using a conceptual framework developed by Chiappetta, Fillman and Sethna (1991). In particular, we investigated the differences between the representation of the nature of science in Biology ...

  8. Analysis of genetic structure in Melia volkensii (Gurke.) populations ...

    African Journals Online (AJOL)

    Administrator

    2Farm Forestry Programme, Kenya Forestry Research Institute, P. O. Box 20412, Nairobi, Kenya. Accepted 5 ... were used to estimate genetic distances between populations and for construction of neighbour-joining phenograms. Analysis of Molecular Variance (AMOVA) indicated significant genetic differentiation between ...

  9. Survey of immunoassay techniques for biological analysis

    International Nuclear Information System (INIS)

    Burtis, C.A.

    1986-10-01

    Immunoassay is a very specific, sensitive, and widely applicable analytical technique. Recent advances in genetic engineering have led to the development of monoclonal antibodies which further improves the specificity of immunoassays. Originally, radioisotopes were used to label the antigens and antibodies used in immunoassays. However, in the last decade, numerous types of immunoassays have been developed which utilize enzymes and fluorescent dyes as labels. Given the technical, safety, health, and disposal problems associated with using radioisotopes, immunoassays that utilize the enzyme and fluorescent labels are rapidly replacing those using radioisotope labels. These newer techniques are as sensitive, are easily automated, have stable reagents, and do not have a disposal problem. 6 refs., 1 fig., 2 tabs

  10. Genetic origin and dispersal of the invasive soybean aphid inferred from population genetic analysis and approximate Bayesian computation.

    Science.gov (United States)

    Fang, Fang; Chen, Jing; Jiang, Li-Yun; Qu, Yan-Hua; Qiao, Ge-Xia

    2018-01-09

    Biological invasion is considered one of the most important global environmental problems. Knowledge of the source and dispersal routes of invasion could facilitate the eradication and control of invasive species. Soybean aphid, Aphis glycines Matsumura, is one of the most destructive soybean pests. For effective management of this pest, we conducted genetic analyses and approximate Bayesian computation (ABC) analysis to determine the origins and dispersal of the aphid species, as well as the source of its invasion in the USA, using eight microsatellite loci and the mitochondrial cytochrome c oxidase subunit I (COI) gene. We were able to identify a significant isolation by distance (IBD) pattern and three genetic lineages in the microsatellite data but not in the mtDNA dataset. The genetic structure showed that the USA population has the closest relationship with those from Korea and Japan, indicating that the two latter populations might be the sources of the invasion to the USA. Both population genetic analyses and ABC showed that the northeastern populations in China were the possible sources of the further spread of A. glycines to Indonesia. The dispersal history of this aphid can provide useful information for pest management strategies and can further help predict areas at risk of invasion. This article is protected by copyright. All rights reserved.

  11. Strategies for Integrated Analysis of Genetic, Epigenetic, and Gene Expression Variation in Cancer

    DEFF Research Database (Denmark)

    Thingholm, Louise B; Andersen, Lars; Makalic, Enes

    2016-01-01

    The development and progression of cancer, a collection of diseases with complex genetic architectures, is facilitated by the interplay of multiple etiological factors. This complexity challenges the traditional single-platform study design and calls for an integrated approach to data analysis...... to integration strategies used for analyzing genetic risk factors for cancer. We critically examine the ability of these strategies to handle the complexity of the human genome and also accommodate information about the biological and functional interactions between the elements that have been measured...

  12. Strategies for Integrated Analysis of Genetic, Epigenetic, and Gene Expression Variation in Cancer: Addressing the Challenges

    DEFF Research Database (Denmark)

    Thingholm, Louise Bruun; Andersen, Lars; Makalic, Enes

    2016-01-01

    to integration strategies used for analyzing genetic risk factors for cancer. We critically examine the ability of these strategies to handle the complexity of the human genome and also accommodate information about the biological and functional interactions between the elements that have been measured......The development and progression of cancer, a collection of diseases with complex genetic architectures, is facilitated by the interplay of multiple etiological factors. This complexity challenges the traditional single-platform study design and calls for an integrated approach to data analysis...

  13. Analysis of biological spectrum of Divčibare flora

    Directory of Open Access Journals (Sweden)

    Popović Ivana

    2006-01-01

    Full Text Available One of the essential analyses which is performed during the floristic study of a region is the analysis of the biological spectrum. The analysis of the biological spectrum of the flora includes the determination of the type of life form for each taxon described in the flora of the study region. If it is considered that life form is a specific structural-functional response to the environmental effects and the result of the adaptation during the species evolution, it is clear that the basic characteristics of the site are more or less reflected in any life form. This fact is confirmed by the analysis of the biological spectrum of Divčibare flora. The study results are in correlation with the results of the analysis of the biological spectrum of the flora of Serbia and the Balkan Peninsula.

  14. Human · mouse genome analysis and radiation biology. Proceedings

    International Nuclear Information System (INIS)

    Hori, Tada-aki

    1994-03-01

    This issue is the collection of the papers presented at the 25th NIRS symposium on Human, Mouse Genome Analysis and Radiation Biology. The 14 of the presented papers are indexed individually. (J.P.N.)

  15. Amino acid analysis in biological fluids by GC-MS

    OpenAIRE

    Kaspar, Hannelore

    2009-01-01

    Amino acids are intermediates in cellular metabolism and their quantitative analysis plays an important role in disease diagnostics. A gas chromatography-mass spectrometry (GC-MS) based method was developed for the quantitative analysis of free amino acids as their propyl chloroformate derivatives in biological fluids. Derivatization with propyl chloroformate could be carried out directly in the biological samples without prior protein precipitation or solid-phase extraction of the amino acid...

  16. The genetic basis of novel water utilisation and drinking behaviour traits and their relationship with biological performance in turkeys.

    Science.gov (United States)

    Rusakovica, Julija; Kremer, Valentin D; Plötz, Thomas; Rohlf, Paige; Kyriazakis, Ilias

    2017-09-29

    There is increasing interest in the definition, measurement and use of traits associated with water use and drinking behaviour, mainly because water is a finite resource and its intake is an important part of animal health and well-being. Analysis of such traits has received little attention, due in part to the lack of appropriate technology to measure drinking behaviour. We exploited novel equipment to collect water intake data in two lines of turkey (A: 27,415 and B: 12,956 birds). The equipment allowed continuous recording of individual visits to the water station in a group environment. Our aim was to identify drinking behaviour traits of biological relevance, to estimate their genetic parameters and their genetic relationships with performance traits, and to identify drinking behaviour strategies among individuals. Visits to the drinkers were clustered into bouts, i.e. time intervals spent in drinking-related activity. Based on this, biologically relevant traits were defined: (1) number of visits per bout, (2) water intake per bout, (3) drinking time per bout, (4) drinking rate, (5) daily bout frequency, (6) daily bout duration, (7) daily drinking time and (8) daily water intake. Heritability estimates for most drinking behaviour traits were moderate to high and the most highly heritable traits were drinking rate (0.49 and 0.50) and daily drinking time (0.35 and 0.46 in lines A and B, respectively). Genetic correlations between drinking behaviour and performance traits were low except for moderate correlations between daily water intake and weight gain (0.46 and 0.47 in lines A and B, respectively). High estimates of breeding values for weight gain were found across the whole range of estimated breeding values for daily water intake, daily drinking time and water intake per bout. We show for the first time that drinking behaviour traits are moderately to highly heritable. Low genetic and phenotypic correlations with performance traits suggest that current

  17. Analytical fuzzy approach to biological data analysis

    Directory of Open Access Journals (Sweden)

    Weiping Zhang

    2017-03-01

    Full Text Available The assessment of the physiological state of an individual requires an objective evaluation of biological data while taking into account both measurement noise and uncertainties arising from individual factors. We suggest to represent multi-dimensional medical data by means of an optimal fuzzy membership function. A carefully designed data model is introduced in a completely deterministic framework where uncertain variables are characterized by fuzzy membership functions. The study derives the analytical expressions of fuzzy membership functions on variables of the multivariate data model by maximizing the over-uncertainties-averaged-log-membership values of data samples around an initial guess. The analytical solution lends itself to a practical modeling algorithm facilitating the data classification. The experiments performed on the heartbeat interval data of 20 subjects verified that the proposed method is competing alternative to typically used pattern recognition and machine learning algorithms.

  18. Bystander effect: Biological endpoints and microarray analysis

    Energy Technology Data Exchange (ETDEWEB)

    Chaudhry, M. Ahmad [Department of Medical Laboratory and Radiation Sciences, College of Nursing and Health Sciences, University of Vermont, 302 Rowell Building, Burlington, VT 05405 (United States) and DNA Microarray Facility, University of Vermont, Burlington, VT 05405 (United States)]. E-mail: mchaudhr@uvm.edu

    2006-05-11

    In cell populations exposed to ionizing radiation, the biological effects occur in a much larger proportion of cells than are estimated to be traversed by radiation. It has been suggested that irradiated cells are capable of providing signals to the neighboring unirradiated cells resulting in damage to these cells. This phenomenon is termed the bystander effect. The bystander effect induces persistent, long-term, transmissible changes that result in delayed death and neoplastic transformation. Because the bystander effect is relevant to carcinogenesis, it could have significant implications for risk estimation for radiation exposure. The nature of the bystander effect signal and how it impacts the unirradiated cells remains to be elucidated. Examination of the changes in gene expression could provide clues to understanding the bystander effect and could define the signaling pathways involved in sustaining damage to these cells. The microarray technology serves as a tool to gain insight into the molecular pathways leading to bystander effect. Using medium from irradiated normal human diploid lung fibroblasts as a model system we examined gene expression alterations in bystander cells. The microarray data revealed that the radiation-induced gene expression profile in irradiated cells is different from unirradiated bystander cells suggesting that the pathways leading to biological effects in the bystander cells are different from the directly irradiated cells. The genes known to be responsive to ionizing radiation were observed in irradiated cells. Several genes were upregulated in cells receiving media from irradiated cells. Surprisingly no genes were found to be downregulated in these cells. A number of genes belonging to extracellular signaling, growth factors and several receptors were identified in bystander cells. Interestingly 15 genes involved in the cell communication processes were found to be upregulated. The induction of receptors and the cell

  19. Bystander effect: Biological endpoints and microarray analysis

    International Nuclear Information System (INIS)

    Chaudhry, M. Ahmad

    2006-01-01

    In cell populations exposed to ionizing radiation, the biological effects occur in a much larger proportion of cells than are estimated to be traversed by radiation. It has been suggested that irradiated cells are capable of providing signals to the neighboring unirradiated cells resulting in damage to these cells. This phenomenon is termed the bystander effect. The bystander effect induces persistent, long-term, transmissible changes that result in delayed death and neoplastic transformation. Because the bystander effect is relevant to carcinogenesis, it could have significant implications for risk estimation for radiation exposure. The nature of the bystander effect signal and how it impacts the unirradiated cells remains to be elucidated. Examination of the changes in gene expression could provide clues to understanding the bystander effect and could define the signaling pathways involved in sustaining damage to these cells. The microarray technology serves as a tool to gain insight into the molecular pathways leading to bystander effect. Using medium from irradiated normal human diploid lung fibroblasts as a model system we examined gene expression alterations in bystander cells. The microarray data revealed that the radiation-induced gene expression profile in irradiated cells is different from unirradiated bystander cells suggesting that the pathways leading to biological effects in the bystander cells are different from the directly irradiated cells. The genes known to be responsive to ionizing radiation were observed in irradiated cells. Several genes were upregulated in cells receiving media from irradiated cells. Surprisingly no genes were found to be downregulated in these cells. A number of genes belonging to extracellular signaling, growth factors and several receptors were identified in bystander cells. Interestingly 15 genes involved in the cell communication processes were found to be upregulated. The induction of receptors and the cell

  20. Analysis of the genetic diversity of four rabbit genotypes using ...

    African Journals Online (AJOL)

    Dr.Ola

    2013-05-15

    May 15, 2013 ... consumption and low cost, it has been widely utilized in genetics analysis in ... isozyme variation among the selected individuals within each rabbit genotype. ... with different embryo survival (Bolet and Theau-Clement, 1994).

  1. Genetic analysis of a consanguineous Pakistani family with Leber ...

    Indian Academy of Sciences (India)

    2014-08-01

    Aug 1, 2014 ... RESEARCH NOTE. Genetic analysis of a consanguineous Pakistani family with Leber .... representation of the deleterious mutation at genomic and protein level. ... In the last couple of years, numerous mutations in. GUCY2D ...

  2. A genetic analysis of segregation distortion revealed by molecular ...

    Indian Academy of Sciences (India)

    Journal of Genetics, Vol. 90, No. ... Segregation analysis was based on 64 molecular markers, including 26 .... FHB of RIL populations was controlled by quantitative trait ... The authors acknowledge financial support by the National Basic.

  3. Analysis of genetic diversity in mango ( Mangifera indica L.) using ...

    African Journals Online (AJOL)

    Analysis of genetic diversity in mango ( Mangifera indica L.) using isozymetic polymorphism. ... All the isozymes, used in the present study showed polymorphism for mango. A total of 25 different electrophoretic ... HOW TO USE AJOL.

  4. Phenotypic and molecular genetic analysis of Pyruvate Kinase ...

    African Journals Online (AJOL)

    Phenotypic and molecular genetic analysis of Pyruvate Kinase deficiency in a Tunisian family. Jaouani Mouna, Hamdi Nadia, Chaouch Leila, Kalai Miniar, Mellouli Fethi, Darragi Imen, Boudriga Imen, Chaouachi Dorra, Bejaoui Mohamed, Abbes Salem ...

  5. Genetically engineered mouse models of craniopharyngioma: an opportunity for therapy development and understanding of tumor biology.

    Science.gov (United States)

    Apps, John Richard; Martinez-Barbera, Juan Pedro

    2017-05-01

    Adamantinomatous craniopharyngioma (ACP) is the commonest tumor of the sellar region in childhood. Two genetically engineered mouse models have been developed and are giving valuable insights into ACP biology. These models have identified novel pathways activated in tumors, revealed an important function of paracrine signalling and extended conventional theories about the role of organ-specific stem cells in tumorigenesis. In this review, we summarize these mouse models, what has been learnt, their limitations and open questions for future research. We then discussed how these mouse models may be used to test novel therapeutics against potentially targetable pathways recently identified in human ACP. © 2017 The Authors. Brain Pathology published by John Wiley & Sons Ltd on behalf of International Society of Neuropathology.

  6. Genetic evidence reveals improvement opportunities for tissue preparation in forensic analysis

    OpenAIRE

    Romero, Rosa Elena; Sandoval, Alejandro; Arango, Juliana; Camargo, Martha Lucia

    2016-01-01

    Introduction: Paraffin embedded tissues are an excellent alternative to obtain dna, especially when it is not possible to have fresh samples or when the tissue storage and preservation is not feasible; therefore, this sample is the only item available for matching purposes. The success in any genetic analysis implies having adequate tissue fixation and suitable dna extraction methods that allow to obtain good quality and quantity molecules, free of biological, chemical and microbiological con...

  7. ANALISIS ARGUMENTASI MAHASISWA PENDIDIKAN BIOLOGI PADA ISU SOSIOSAINFIK KONSUMSI GENETICALLY MODIFIED ORGANISM (GMO

    Directory of Open Access Journals (Sweden)

    Y. Herlanti

    2014-04-01

    Full Text Available Penelitian ini bertujuan untuk menganalisis argumentasi yang dikemukakan oleh mahasiswa pendidikan biologi terkait isu sosiosaintifik yaitu konsumsi pangan Genetically Modified Organism (GMO.  Penelitian menggunakan metode survei secara online.  Partisipan yang berasal dari semester III-VII Universitas Islam Negeri Jakarta yang secara sukarela mengisi kuisioner online yang diunggah pada weblog. Hasil penelitian menunjukkan isu sosiosaintifik GMO lebih banyak ditanggapi secara saintifik oleh partisipan.  Argumentasi sebagian besar berada pada level II, yaitu telah mampu mengungkapkan sebuah klaim disertai dengan alasan. Hanya sedikit yang sudah mampu memberikan argumen secara holistik (level IV, yaitu mampu mengungkapkan argumen dengan alasan yang kuat yang tidak mudah dibantah.  Umumnya argumentasi yang dikemukan partisipan berjenis argumentasi sederhana dan argumentasi tipe rantai.  Berdasarkan temuan ini, perlu dikembangkan sebuah model perkuliahan yang dapat meningkatkan keterampilan berargumentasi. This research aimed to analyze the argument for socioscientifik issue “Genetically Modified Organism (GMO Food Consumtion”.  This reseach used online survey.  Participant filled online questionaire that uploaded in weblog.  Participants are student of biology education in Jakarta Islamic State University. The result showed most participants gave scientific view in their argument.  Most of argumentations were in level II; participants gave a klaim within a warrant.  Only a few argument were in level IV, it’s a holistic argument that contained a klaim, a warrant, a backing, and a rebuttal.  Most of argument had simple type or chain type.  From this result, university must develop strategies of lecturing to improve argumentation skill.

  8. Biological and genetic evolution of HIV type 1 in two siblings with different patterns of disease progression.

    Science.gov (United States)

    Ripamonti, Chiara; Leitner, Thomas; Laurén, Anna; Karlsson, Ingrid; Pastore, Angela; Cavarelli, Mariangela; Antonsson, Liselotte; Plebani, Anna; Fenyö, Eva Maria; Scarlatti, Gabriella

    2007-12-01

    To investigate the immunological and virological factors that may lead to different patterns of disease progression characteristic of HIV-1-infected children, two HIV-1-infected siblings, a slow and a fast progressor, were followed prospectively before the onset of highly active antiretroviral therapy. Viral coreceptor usage, including the use of CCR5/CXCR4 chimeric receptors, macrophage tropism, and sensitivity to the CC-chemokine RANTES, has been studied. An autologous and heterologous neutralizing antibody response has been documented using peripheral blood mononuclear cells- and GHOST(3) cell line-based assays. Viral evolution was investigated by env C2-V3 region sequence analysis. Although both siblings were infected with HIV-1 of the R5 phenotype, their viruses showed important biological differences. In the fast progressor there was a higher RANTES sensitivity of the early virus, an increased trend to change the mode of CCR5 receptor use, and a larger genetic evolution. Both children developed an autologous neutralizing antibody response starting from the second year with evidence of the continuous emergence of resistant variants. A marked viral genetic and phenotypic evolution was documented in the fast progressor sibling, which is accompanied by a high viral RANTES sensitivity and persistent neutralizing antibodies.

  9. Synthetic Biology Parts for the Storage of Increased Genetic Information in Cells.

    Science.gov (United States)

    Morris, Sydney E; Feldman, Aaron W; Romesberg, Floyd E

    2017-10-20

    To bestow cells with novel forms and functions, the goal of synthetic biology, we have developed the unnatural nucleoside triphosphates dNaMTP and dTPT3TP, which form an unnatural base pair (UBP) and expand the genetic alphabet. While the UBP may be retained in the DNA of a living cell, its retention is sequence-dependent. We now report a steady-state kinetic characterization of the rate with which the Klenow fragment of E. coli DNA polymerase I synthesizes the UBP and its mispairs in a variety of sequence contexts. Correct UBP synthesis is as efficient as for a natural base pair, except in one sequence context, and in vitro performance is correlated with in vivo performance. The data elucidate the determinants of efficient UBP synthesis, show that the dNaM-dTPT3 UBP is the first generally recognized natural-like base pair, and importantly, demonstrate that dNaMTP and dTPT3TP are well optimized and standardized parts for the expansion of the genetic alphabet.

  10. Biological engineering applications of feedforward neural networks designed and parameterized by genetic algorithms.

    Science.gov (United States)

    Ferentinos, Konstantinos P

    2005-09-01

    Two neural network (NN) applications in the field of biological engineering are developed, designed and parameterized by an evolutionary method based on the evolutionary process of genetic algorithms. The developed systems are a fault detection NN model and a predictive modeling NN system. An indirect or 'weak specification' representation was used for the encoding of NN topologies and training parameters into genes of the genetic algorithm (GA). Some a priori knowledge of the demands in network topology for specific application cases is required by this approach, so that the infinite search space of the problem is limited to some reasonable degree. Both one-hidden-layer and two-hidden-layer network architectures were explored by the GA. Except for the network architecture, each gene of the GA also encoded the type of activation functions in both hidden and output nodes of the NN and the type of minimization algorithm that was used by the backpropagation algorithm for the training of the NN. Both models achieved satisfactory performance, while the GA system proved to be a powerful tool that can successfully replace the problematic trial-and-error approach that is usually used for these tasks.

  11. Investigating the genetic and epigenetic basis of big biological questions with the parthenogenetic marbled crayfish: A review and perspectives.

    Science.gov (United States)

    Vogt, Gunter

    2018-03-01

    In the last 15 years, considerable attempts have been undertaken to develop the obligately parthenogenetic marbled crayfish Procambarus virginalis as a new model in biology. Its main advantage is the production of large numbers of offspring that are genetically identical to the mother, making this crustacean particularly suitable for research in epigenetics. Now, a draft genome, transcriptome and genome-wide methylome are available opening new windows for research. In this article, I summarize the biological advantages and genomic and epigenetic features of marbled crayfish and, based on first promising data, discuss what this new model could contribute to answering of ''big'' biological questions. Genome mining is expected to reveal new insights into the genetic specificities of decapod crustaceans, the genetic basis of arthropod reproduction, moulting and immunity, and more general topics such as the genetic underpinning of adaptation to fresh water, omnivory, biomineralization, sexual system change, behavioural variation, clonal genome evolution, and resistance to cancer. Epigenetic investigations with the marbled crayfish can help clarifying the role of epigenetic mechanisms in gene regulation, tissue specification, adult stem cell regulation, cell ageing, organ regeneration and disease susceptibility. Marbled crayfish is further suitable to elucidate the relationship between genetic and epigenetic variation, the transgenerational inheritance of epigenetic signatures and the contribution of epigenetic phenotype variation to the establishment of social hierarchies, environmental adaptation and speciation. These issues can be tackled by experiments with highly standardized laboratory lineages, comparison of differently adapted wild populations and the generation of genetically and epigenetically edited strains.

  12. Genetic analysis of sunflower chlorophyll mutants

    International Nuclear Information System (INIS)

    Mashkina, E.V.; Guskov, E.P.

    2001-01-01

    The method of getting the chlorophyll mutations in sunflower was developed by Y.D. Beletskii in 1969 with the use of N-nitroso-N-methylurea (NMH). Certain concentrations of NMH are known to induce plastid mutations in growing seeds, and their yield depends on the duration of the exposure. The given work presented studies on the influence of rifampicin (R) and 2,4-dinitrophenol (DNP) on the genetic activity NMH, as an inductor of plastid and nuclear mutations

  13. Uranium-233 analysis of biological samples

    International Nuclear Information System (INIS)

    Gies, R.A.; Ballou, J.E.; Case, A.C.

    1979-01-01

    Two liquid scintillation techniques were compared for 233 U analysis: a two-phase extraction system (D2EHPA) developed by Keough and Powers, 1970, for Pu analysis; and a single-phase emulsion system (TT21) that holds the total sample in suspension with the scintillator. The first system (D2EHPA) was superior in reducing background (two- to threefold) and in accommodating a larger sample volume (fivefold). Samples containing > 50 mg/ml of slats were not extracted quantitatively by D2EHPA

  14. Knowlege of, attitudes toward, and acceptance of genetically modified organisms among prospective teachers of biology, home economics, and grade school in Slovenia.

    Science.gov (United States)

    Sorgo, Andrej; Ambrožič-Dolinšek, Jana

    2010-05-01

    The objective of this study was to investigate knowledge, opinions, and attitudes toward, as well as readiness to accept genetically modified organisms (GMOs) among prospective primary and secondary Slovene teachers. Our findings are that prospective teachers want to take an active role in rejecting or supporting individual GMOs and are aware of the importance of education about genetically modified organism (GMO) items and their potential significance for society. Through cluster analysis, we recognized four clusters of GMOs, separated by degree of genetically modified acceptability. GM plants and microorganisms which are recognized as useful are accepted. They are undecided about organisms used in research or medicine and reject organisms used for food consumption and for fun. There are only weak correlations between knowledge and attitudes and knowledge and acceptance of GMOs, and a strong correlation between attitudes and acceptance. The appropriate strategies and actions for improving university courses in biotechnology are discussed. Copyright © 2010 International Union of Biochemistry and Molecular Biology, Inc.

  15. Dissecting high-dimensional phenotypes with bayesian sparse factor analysis of genetic covariance matrices.

    Science.gov (United States)

    Runcie, Daniel E; Mukherjee, Sayan

    2013-07-01

    Quantitative genetic studies that model complex, multivariate phenotypes are important for both evolutionary prediction and artificial selection. For example, changes in gene expression can provide insight into developmental and physiological mechanisms that link genotype and phenotype. However, classical analytical techniques are poorly suited to quantitative genetic studies of gene expression where the number of traits assayed per individual can reach many thousand. Here, we derive a Bayesian genetic sparse factor model for estimating the genetic covariance matrix (G-matrix) of high-dimensional traits, such as gene expression, in a mixed-effects model. The key idea of our model is that we need consider only G-matrices that are biologically plausible. An organism's entire phenotype is the result of processes that are modular and have limited complexity. This implies that the G-matrix will be highly structured. In particular, we assume that a limited number of intermediate traits (or factors, e.g., variations in development or physiology) control the variation in the high-dimensional phenotype, and that each of these intermediate traits is sparse - affecting only a few observed traits. The advantages of this approach are twofold. First, sparse factors are interpretable and provide biological insight into mechanisms underlying the genetic architecture. Second, enforcing sparsity helps prevent sampling errors from swamping out the true signal in high-dimensional data. We demonstrate the advantages of our model on simulated data and in an analysis of a published Drosophila melanogaster gene expression data set.

  16. Multivariate Survival Mixed Models for Genetic Analysis of Longevity Traits

    DEFF Research Database (Denmark)

    Pimentel Maia, Rafael; Madsen, Per; Labouriau, Rodrigo

    2014-01-01

    A class of multivariate mixed survival models for continuous and discrete time with a complex covariance structure is introduced in a context of quantitative genetic applications. The methods introduced can be used in many applications in quantitative genetics although the discussion presented co...... applications. The methods presented are implemented in such a way that large and complex quantitative genetic data can be analyzed......A class of multivariate mixed survival models for continuous and discrete time with a complex covariance structure is introduced in a context of quantitative genetic applications. The methods introduced can be used in many applications in quantitative genetics although the discussion presented...... concentrates on longevity studies. The framework presented allows to combine models based on continuous time with models based on discrete time in a joint analysis. The continuous time models are approximations of the frailty model in which the hazard function will be assumed to be piece-wise constant...

  17. Multivariate Survival Mixed Models for Genetic Analysis of Longevity Traits

    DEFF Research Database (Denmark)

    Pimentel Maia, Rafael; Madsen, Per; Labouriau, Rodrigo

    2013-01-01

    A class of multivariate mixed survival models for continuous and discrete time with a complex covariance structure is introduced in a context of quantitative genetic applications. The methods introduced can be used in many applications in quantitative genetics although the discussion presented co...... applications. The methods presented are implemented in such a way that large and complex quantitative genetic data can be analyzed......A class of multivariate mixed survival models for continuous and discrete time with a complex covariance structure is introduced in a context of quantitative genetic applications. The methods introduced can be used in many applications in quantitative genetics although the discussion presented...... concentrates on longevity studies. The framework presented allows to combine models based on continuous time with models based on discrete time in a joint analysis. The continuous time models are approximations of the frailty model in which the hazard function will be assumed to be piece-wise constant...

  18. Systems theoretic analysis of the central dogma of molecular biology: some recent results.

    Science.gov (United States)

    Gao, Rui; Yu, Juanyi; Zhang, Mingjun; Tarn, Tzyh-Jong; Li, Jr-Shin

    2010-03-01

    This paper extends our early study on a mathematical formulation of the central dogma of molecular biology, and focuses discussions on recent insights obtained by employing advanced systems theoretic analysis. The goal of this paper is to mathematically represent and interpret the genetic information flow at the molecular level, and explore the fundamental principle of molecular biology at the system level. Specifically, group theory was employed to interpret concepts and properties of gene mutation, and predict backbone torsion angle along the peptide chain. Finite state machine theory was extensively applied to interpret key concepts and analyze the processes related to DNA hybridization. Using the proposed model, we have transferred the character-based model in molecular biology to a sophisticated mathematical model for calculation and interpretation.

  19. Statistical analysis of joint toxicity in biological growth experiments

    DEFF Research Database (Denmark)

    Spliid, Henrik; Tørslev, J.

    1994-01-01

    The authors formulate a model for the analysis of designed biological growth experiments where a mixture of toxicants is applied to biological target organisms. The purpose of such experiments is to assess the toxicity of the mixture in comparison with the toxicity observed when the toxicants are...... is applied on data from an experiment where inhibition of the growth of the bacteria Pseudomonas fluorescens caused by different mixtures of pentachlorophenol and aniline was studied.......The authors formulate a model for the analysis of designed biological growth experiments where a mixture of toxicants is applied to biological target organisms. The purpose of such experiments is to assess the toxicity of the mixture in comparison with the toxicity observed when the toxicants...

  20. A basic analysis toolkit for biological sequences

    Directory of Open Access Journals (Sweden)

    Siragusa Enrico

    2007-09-01

    Full Text Available Abstract This paper presents a software library, nicknamed BATS, for some basic sequence analysis tasks. Namely, local alignments, via approximate string matching, and global alignments, via longest common subsequence and alignments with affine and concave gap cost functions. Moreover, it also supports filtering operations to select strings from a set and establish their statistical significance, via z-score computation. None of the algorithms is new, but although they are generally regarded as fundamental for sequence analysis, they have not been implemented in a single and consistent software package, as we do here. Therefore, our main contribution is to fill this gap between algorithmic theory and practice by providing an extensible and easy to use software library that includes algorithms for the mentioned string matching and alignment problems. The library consists of C/C++ library functions as well as Perl library functions. It can be interfaced with Bioperl and can also be used as a stand-alone system with a GUI. The software is available at http://www.math.unipa.it/~raffaele/BATS/ under the GNU GPL.

  1. The Information Content of Discrete Functions and Their Application in Genetic Data Analysis.

    Science.gov (United States)

    Sakhanenko, Nikita A; Kunert-Graf, James; Galas, David J

    2017-12-01

    The complex of central problems in data analysis consists of three components: (1) detecting the dependence of variables using quantitative measures, (2) defining the significance of these dependence measures, and (3) inferring the functional relationships among dependent variables. We have argued previously that an information theory approach allows separation of the detection problem from the inference of functional form problem. We approach here the third component of inferring functional forms based on information encoded in the functions. We present here a direct method for classifying the functional forms of discrete functions of three variables represented in data sets. Discrete variables are frequently encountered in data analysis, both as the result of inherently categorical variables and from the binning of continuous numerical variables into discrete alphabets of values. The fundamental question of how much information is contained in a given function is answered for these discrete functions, and their surprisingly complex relationships are illustrated. The all-important effect of noise on the inference of function classes is found to be highly heterogeneous and reveals some unexpected patterns. We apply this classification approach to an important area of biological data analysis-that of inference of genetic interactions. Genetic analysis provides a rich source of real and complex biological data analysis problems, and our general methods provide an analytical basis and tools for characterizing genetic problems and for analyzing genetic data. We illustrate the functional description and the classes of a number of common genetic interaction modes and also show how different modes vary widely in their sensitivity to noise.

  2. Polyglot programming in applications used for genetic data analysis.

    Science.gov (United States)

    Nowak, Robert M

    2014-01-01

    Applications used for the analysis of genetic data process large volumes of data with complex algorithms. High performance, flexibility, and a user interface with a web browser are required by these solutions, which can be achieved by using multiple programming languages. In this study, I developed a freely available framework for building software to analyze genetic data, which uses C++, Python, JavaScript, and several libraries. This system was used to build a number of genetic data processing applications and it reduced the time and costs of development.

  3. Analysis of Plasminogen Genetic Variants in Multiple Sclerosis Patients

    Directory of Open Access Journals (Sweden)

    A. Dessa Sadovnick

    2016-07-01

    Full Text Available Multiple sclerosis (MS is a prevalent neurological disease of complex etiology. Here, we describe the characterization of a multi-incident MS family that nominated a rare missense variant (p.G420D in plasminogen (PLG as a putative genetic risk factor for MS. Genotyping of PLG p.G420D (rs139071351 in 2160 MS patients, and 886 controls from Canada, identified 10 additional probands, two sporadic patients and one control with the variant. Segregation in families harboring the rs139071351 variant, identified p.G420D in 26 out of 30 family members diagnosed with MS, 14 unaffected parents, and 12 out of 30 family members not diagnosed with disease. Despite considerably reduced penetrance, linkage analysis supports cosegregation of PLG p.G420D and disease. Genotyping of PLG p.G420D in 14446 patients, and 8797 controls from Canada, France, Spain, Germany, Belgium, and Austria failed to identify significant association with disease (P = 0.117, despite an overall higher prevalence in patients (OR = 1.32; 95% CI = 0.93–1.87. To assess whether additional rare variants have an effect on MS risk, we sequenced PLG in 293 probands, and genotyped all rare variants in cases and controls. This analysis identified nine rare missense variants, and although three of them were exclusively observed in MS patients, segregation does not support pathogenicity. PLG is a plausible biological candidate for MS owing to its involvement in immune system response, blood-brain barrier permeability, and myelin degradation. Moreover, components of its activation cascade have been shown to present increased activity or expression in MS patients compared to controls; further studies are needed to clarify whether PLG is involved in MS susceptibility.

  4. Analysis of Plasminogen Genetic Variants in Multiple Sclerosis Patients

    Science.gov (United States)

    Sadovnick, A. Dessa; Traboulsee, Anthony L.; Bernales, Cecily Q.; Ross, Jay P.; Forwell, Amanda L.; Yee, Irene M.; Guillot-Noel, Lena; Fontaine, Bertrand; Cournu-Rebeix, Isabelle; Alcina, Antonio; Fedetz, Maria; Izquierdo, Guillermo; Matesanz, Fuencisla; Hilven, Kelly; Dubois, Bénédicte; Goris, An; Astobiza, Ianire; Alloza, Iraide; Antigüedad, Alfredo; Vandenbroeck, Koen; Akkad, Denis A.; Aktas, Orhan; Blaschke, Paul; Buttmann, Mathias; Chan, Andrew; Epplen, Joerg T.; Gerdes, Lisa-Ann; Kroner, Antje; Kubisch, Christian; Kümpfel, Tania; Lohse, Peter; Rieckmann, Peter; Zettl, Uwe K.; Zipp, Frauke; Bertram, Lars; Lill, Christina M; Fernandez, Oscar; Urbaneja, Patricia; Leyva, Laura; Alvarez-Cermeño, Jose Carlos; Arroyo, Rafael; Garagorri, Aroa M.; García-Martínez, Angel; Villar, Luisa M.; Urcelay, Elena; Malhotra, Sunny; Montalban, Xavier; Comabella, Manuel; Berger, Thomas; Fazekas, Franz; Reindl, Markus; Schmied, Mascha C.; Zimprich, Alexander; Vilariño-Güell, Carles

    2016-01-01

    Multiple sclerosis (MS) is a prevalent neurological disease of complex etiology. Here, we describe the characterization of a multi-incident MS family that nominated a rare missense variant (p.G420D) in plasminogen (PLG) as a putative genetic risk factor for MS. Genotyping of PLG p.G420D (rs139071351) in 2160 MS patients, and 886 controls from Canada, identified 10 additional probands, two sporadic patients and one control with the variant. Segregation in families harboring the rs139071351 variant, identified p.G420D in 26 out of 30 family members diagnosed with MS, 14 unaffected parents, and 12 out of 30 family members not diagnosed with disease. Despite considerably reduced penetrance, linkage analysis supports cosegregation of PLG p.G420D and disease. Genotyping of PLG p.G420D in 14446 patients, and 8797 controls from Canada, France, Spain, Germany, Belgium, and Austria failed to identify significant association with disease (P = 0.117), despite an overall higher prevalence in patients (OR = 1.32; 95% CI = 0.93–1.87). To assess whether additional rare variants have an effect on MS risk, we sequenced PLG in 293 probands, and genotyped all rare variants in cases and controls. This analysis identified nine rare missense variants, and although three of them were exclusively observed in MS patients, segregation does not support pathogenicity. PLG is a plausible biological candidate for MS owing to its involvement in immune system response, blood-brain barrier permeability, and myelin degradation. Moreover, components of its activation cascade have been shown to present increased activity or expression in MS patients compared to controls; further studies are needed to clarify whether PLG is involved in MS susceptibility. PMID:27194806

  5. "Sickle cell anemia: tracking down a mutation": an interactive learning laboratory that communicates basic principles of genetics and cellular biology.

    Science.gov (United States)

    Jarrett, Kevin; Williams, Mary; Horn, Spencer; Radford, David; Wyss, J Michael

    2016-03-01

    "Sickle cell anemia: tracking down a mutation" is a full-day, inquiry-based, biology experience for high school students enrolled in genetics or advanced biology courses. In the experience, students use restriction endonuclease digestion, cellulose acetate gel electrophoresis, and microscopy to discover which of three putative patients have the sickle cell genotype/phenotype using DNA and blood samples from wild-type and transgenic mice that carry a sickle cell mutation. The inquiry-based, problem-solving approach facilitates the students' understanding of the basic concepts of genetics and cellular and molecular biology and provides experience with contemporary tools of biotechnology. It also leads to students' appreciation of the causes and consequences of this genetic disease, which is relatively common in individuals of African descent, and increases their understanding of the first principles of genetics. This protocol provides optimal learning when led by well-trained facilitators (including the classroom teacher) and carried out in small groups (6:1 student-to-teacher ratio). This high-quality experience can be offered to a large number of students at a relatively low cost, and it is especially effective in collaboration with a local science museum and/or university. Over the past 15 yr, >12,000 students have completed this inquiry-based learning experience and demonstrated a consistent, substantial increase in their understanding of the disease and genetics in general. Copyright © 2016 The American Physiological Society.

  6. Modelling biological control with wild-type and genetically modified baculoviruses in the Helicoverpa armigera-cotton system

    NARCIS (Netherlands)

    Sun, X.; Werf, van der W.; Bianchi, F.J.J.A.; Hu, Z.; Vlak, J.M.

    2006-01-01

    A comprehensive model was developed to simulate virus epizootics in a stage structured insect population and analyse scenarios for the biological control of cotton bollworm (CBW), Helicoverpa armigera, in cotton, using wild-type or genetically modified baculoviruses. In simulations on dosage and

  7. Equitably sharing benefits from the utilization of natural genetic resources: the Brazilian interpretation of the Convention of Biological Diversity

    NARCIS (Netherlands)

    Pena-Neira, S.; Dieperink, C.; Addink, G.H.

    2002-01-01

    The utilization of natural genetic resources could yield great benefits. The Convention on Biological Diversity introduced a number of rules concerning the sharing of these benefits. However, the interpretation and application (legal implementation) of these rules is a matter of discussion among

  8. Framing the Genetics Curriculum for Social Justice: An Experimental Exploration of How the Biology Curriculum Influences Beliefs about Racial Difference

    Science.gov (United States)

    Donovan, Brian M.

    2016-01-01

    This field experiment manipulated the racial framing of a reading on human genetic disease to explore whether racial terminology in the biology curriculum affects how adolescents explain and respond to the racial achievement gap in American education. Carried out in a public high school in the San Francisco Bay Area, students recruited for the…

  9. Coping with the abstract and complex nature of genetics in biology education : The yo-yo learning and teaching strategy

    NARCIS (Netherlands)

    Knippels, M.C.P.J.

    2002-01-01

    This thesis describes a research project that was carried out at the Centre for Science and Mathematics Education at Utrecht University between 1998 and 2002. The study addresses problems in learning and teaching genetics in upper secondary biology education. The aim of the study is to develop a

  10. COMPARITIVE GENETIC DIVERSITY ANALYSIS OF OAT (Avena ...

    African Journals Online (AJOL)

    knsccf

    protein and 30 to 35% dry matter. ... environment interaction, hence not much dependable but ... Principal coordinate (3D) analysis was .... Relationships among 20 genotypes of oat visualized by principal component analysis (PCoA) of rainfed ...

  11. Genetic linkage map and comparative genome analysis for the estuarine Atlantic killifish (Fundulus heteroclitus)

    Data.gov (United States)

    U.S. Environmental Protection Agency — Genetic linkage maps are valuable tools in evolutionary biology; however, their availability for wild populations is extremely limited. Fundulus heteroclitus...

  12. Pereskia aculeata: biological analysis on wistar rats

    Directory of Open Access Journals (Sweden)

    Luciele Milani ZEM

    2017-09-01

    Full Text Available Abstract Pereskia aculeata Mill., a species of the family Cactaceous, popularly known in Brazil as ora-pro-nobis, has high protein, vitamin and mineral contents. High essential amino acid concentrations should be underscored, suggesting a better evaluation of the fractions. Current study quantifies amino acid content and the chemical score (CS of protein amino acids, determining in vivo digestibility, protein efficiency ratio (PER and net protein ratio (NPR of P. aculeata. Plant material was collected, washed, placed in an oven at 60 °C, ground and stored in a freezer for chemical analysis. Diets that maintain isoproteic and isocaloric characteristics were prepared for the bioassay, namely: casein (no protein and Pereskia aculeata leaves-based flour. Eighteen male albino Wistar rats, divided into three experimental groups of 6 animals each, were used to evaluate protein quality and bioavailability of micronutrients. Pereskia aculeata flour provided as a single source is inadequate for growth, although it is relevant for maintaining protein metabolism indicated by net protein ratio (2.87. It is actually a good quality protein source due to few limiting essential amino acids, and it meets the diet requirements for humans.

  13. Genetics as a modernization program: biological research at the Kaiser Wilhelm Institutes and the political economy of the Nazi State.

    Science.gov (United States)

    Gausemeier, Bernd

    2010-01-01

    During the Third Reich, the biological institutes of the Kaiser Wilhelm Society (KWG, Kaiser-Wilhelm-Gesellschaft) underwent a substantial reorganization and modernization. This paper discusses the development of projects in the fields of biochemical genetics, virus research, radiation genetics, and plant genetics that were initiated in those years. These cases exemplify, on the one hand, the political conditions for biological research in the Nazi state. They highlight how leading scientists advanced their projects by building close ties with politicians and science-funding organizations and companies. On the other hand, the study examines how the contents of research were shaped by, and how they contributed to, the aims and needs of the political economy of the Nazi system. This paper therefore aims not only to highlight basic aspects of scientific development under Nazism, but also to provide general insights into the structure of the Third Reich and the dynamics of its war economy.

  14. Symptom Cluster Research With Biomarkers and Genetics Using Latent Class Analysis.

    Science.gov (United States)

    Conley, Samantha

    2017-12-01

    The purpose of this article is to provide an overview of latent class analysis (LCA) and examples from symptom cluster research that includes biomarkers and genetics. A review of LCA with genetics and biomarkers was conducted using Medline, Embase, PubMed, and Google Scholar. LCA is a robust latent variable model used to cluster categorical data and allows for the determination of empirically determined symptom clusters. Researchers should consider using LCA to link empirically determined symptom clusters to biomarkers and genetics to better understand the underlying etiology of symptom clusters. The full potential of LCA in symptom cluster research has not yet been realized because it has been used in limited populations, and researchers have explored limited biologic pathways.

  15. A genetic analysis of Trichuris trichiura and Trichuris suis from Ecuador.

    Science.gov (United States)

    Meekums, Hayley; Hawash, Mohamed B F; Sparks, Alexandra M; Oviedo, Yisela; Sandoval, Carlos; Chico, Martha E; Stothard, J Russell; Cooper, Philip J; Nejsum, Peter; Betson, Martha

    2015-03-19

    Since the nematodes Trichuris trichiura and T. suis are morphologically indistinguishable, genetic analysis is required to assess epidemiological cross-over between people and pigs. This study aimed to clarify the transmission biology of trichuriasis in Ecuador. Adult Trichuris worms were collected during a parasitological survey of 132 people and 46 pigs in Esmeraldas Province, Ecuador. Morphometric analysis of 49 pig worms and 64 human worms revealed significant variation. In discriminant analysis morphometric characteristics correctly classified male worms according to host species. In PCR-RFLP analysis of the ribosomal Internal Transcribed Spacer (ITS-2) and 18S DNA (59 pig worms and 82 human worms), nearly all Trichuris exhibited expected restriction patterns. However, two pig-derived worms showed a "heterozygous-type" ITS-2 pattern, with one also having a "heterozygous-type" 18S pattern. Phylogenetic analysis of the mitochondrial large ribosomal subunit partitioned worms by host species. Notably, some Ecuadorian T. suis clustered with porcine Trichuris from USA and Denmark and some with Chinese T. suis. This is the first study in Latin America to genetically analyse Trichuris parasites. Although T. trichiura does not appear to be zoonotic in Ecuador, there is evidence of genetic exchange between T. trichiura and T. suis warranting more detailed genetic sampling.

  16. Seeding-inspired chemotaxis genetic algorithm for the inference of biological systems.

    Science.gov (United States)

    Wu, Shinq-Jen; Wu, Cheng-Tao

    2014-09-18

    A large challenge in the post-genomic era is to obtain the quantitatively dynamic interactive information of the important constitutes of underlying systems. The S-system is a dynamic and structurally rich model that determines the net strength of interactions between genes and/or proteins. Good generation characteristics without the need for prior information have allowed S-systems to become one of the most promising canonical models. Various evolutionary computation technologies have recently been developed for the identification of system parameters and skeletal-network structures. However, the gaps between the truncated and preserved terms remain too small. Additionally, current research methods fail to identify the structures of high dimensional systems (e.g., 30 genes with 1800 connections). Optimization technologies should converge fast and have the ability to adaptively adjust the search. In this study, we propose a seeding-inspired chemotaxis genetic algorithm (SCGA) that can force evolution to adjust the population movement to identify a favorable location. The seeding-inspired training strategy is a method to achieve optimal results with limited resources. SCGA introduces seeding-inspired genetic operations to allow a population to possess competitive power (exploitation and exploration) and a winner-chemotaxis-induced population migration to force a population to repeatedly tumble away from an attractor and swim toward another attractor. SCGA was tested on several canonical biological systems. SCGA not only learned the correct structure within only one to three pruning steps but also ensures pruning safety. The values of the truncated terms were all smaller than 10 -14 , even for a thirty-gene system. Copyright © 2014 Elsevier Ltd. All rights reserved.

  17. Thermodynamic perspectives on genetic instructions, the laws of biology and diseased states.

    Science.gov (United States)

    Trevors, Jack T; Saier, Milton H

    2011-01-01

    This article examines in a broad perspective entropy and some examples of its relationship to evolution, genetic instructions and how we view diseases. Living organisms are programmed by functional genetic instructions (FGI), through cellular communication pathways, to grow and reproduce by maintaining a variety of hemistable, ordered structures (low entropy). Living organisms are far from equilibrium with their surrounding environmental systems, which tends towards increasing disorder (increasing entropy). Organisms free themselves from high entropy (high disorder) to maintain their cellular structures for a period of time sufficient to allow reproduction and the resultant offspring to reach reproductive ages. This time interval varies for different species. Bacteria, for example need no sexual parents; dividing cells are nearly identical to the previous generation of cells, and can begin a new cell cycle without delay under appropriate conditions. By contrast, human infants require years of care before they can reproduce. Living organisms maintain order in spite of their changing surrounding environment that decreases order according to the second law of thermodynamics. These events actually work together since living organisms create ordered biological structures by increasing local entropy. From a disease perspective, viruses and other disease agents interrupt the normal functioning of cells. The pressure for survival may result in mechanisms that allow organisms to resist attacks by viruses, other pathogens, destructive chemicals and physical agents such as radiation. However, when the attack is successful, the organism can be damaged until the cell, tissue, organ or entire organism is no longer functional and entropy increases. Copyright © 2010 Académie des sciences. Published by Elsevier SAS. All rights reserved.

  18. Thermodynamic perspectives on genetic instructions, the laws of biology, diseased states and human population control

    Science.gov (United States)

    Saier, M. H.

    2014-01-01

    This article examines in a broad perspective entropy and some examples of its relationship to evolution, genetic instructions and how we view diseases. Many knowledge gaps abound, hence our understanding is still fragmented and incomplete. Living organisms are programmed by functional genetic instructions (FGI), through cellular communication pathways, to grow and reproduce by maintaining a variety of hemistable, ordered structures (low entropy). Living organisms are far from equilibrium with their surrounding environmental systems, which tends towards increasing disorder (increasing entropy). Organisms must free themselves from high entropy (high disorder) to maintain their cellular structures for a period of time sufficient enough to allow reproduction and the resultant offspring to reach reproductive ages. This time interval varies for different species. Bacteria, for example need no sexual parents; dividing cells are nearly identical to the previous generation of cells, and can begin a new cell cycle without delay under appropriate conditions. By contrast, human infants require years of care before they can reproduce. Living organisms maintain order in spite of their changing surrounding environment, that decreases order according to the second law of thermodynamics. These events actually work together since living organisms create ordered biological structures by increasing local entropy. From a disease perspective, viruses and other disease agents interrupt the normal functioning of cells. The pressure for survival may result in mechanisms that allow organisms to resist attacks by viruses, other pathogens, destructive chemicals and physical agents such as radiation. However, when the attack is successful, the organism can be damaged until the cell, tissue, organ or entire organism is no longer functional and entropy increases. PMID:21262480

  19. Meta-analysis of susceptibility of woody plants to loss of genetic diversity through habitat fragmentation.

    Science.gov (United States)

    Vranckx, Guy; Jacquemyn, Hans; Muys, Bart; Honnay, Olivier

    2012-04-01

    Shrubs and trees are assumed less likely to lose genetic variation in response to habitat fragmentation because they have certain life-history characteristics such as long lifespans and extensive pollen flow. To test this assumption, we conducted a meta-analysis with data on 97 woody plant species derived from 98 studies of habitat fragmentation. We measured the weighted response of four different measures of population-level genetic diversity to habitat fragmentation with Hedge's d and Spearman rank correlation. We tested whether the genetic response to habitat fragmentation was mediated by life-history traits (longevity, pollination mode, and seed dispersal vector) and study characteristics (genetic marker and plant material used). For both tests of effect size habitat fragmentation was associated with a substantial decrease in expected heterozygosity, number of alleles, and percentage of polymorphic loci, whereas the population inbreeding coefficient was not associated with these measures. The largest proportion of variation among effect sizes was explained by pollination mechanism and by the age of the tissue (progeny or adult) that was genotyped. Our primary finding was that wind-pollinated trees and shrubs appeared to be as likely to lose genetic variation as insect-pollinated species, indicating that severe habitat fragmentation may lead to pollen limitation and limited gene flow. In comparison with results of previous meta-analyses on mainly herbaceous species, we found trees and shrubs were as likely to have negative genetic responses to habitat fragmentation as herbaceous species. We also found that the genetic variation in offspring was generally less than that of adult trees, which is evidence of a genetic extinction debt and probably reflects the genetic diversity of the historical, less-fragmented landscape. ©2011 Society for Conservation Biology.

  20. Genetic Diversity of Rose germplasm based on RAPD analysis

    African Journals Online (AJOL)

    AHSAN IQBAL

    2012-06-12

    Jun 12, 2012 ... identification and analysis of genetic variation within a collection of 4 species and 30 accessions of rose using RAPD analysis technique. The results showed the molecular distinctions among the ... that range in colour from white and yellow to many shades of pink and red have been developed. Since.

  1. Genetic data analysis for plant and animal breeding

    Science.gov (United States)

    This book is an advanced textbook covering the application of quantitative genetics theory to analysis of actual data (both trait and DNA marker information) for breeding populations of crops, trees, and animals. Chapter 1 is an introduction to basic software used for trait data analysis. Chapter 2 ...

  2. An Error Analysis of Structured Light Scanning of Biological Tissue

    DEFF Research Database (Denmark)

    Jensen, Sebastian Hoppe Nesgaard; Wilm, Jakob; Aanæs, Henrik

    2017-01-01

    This paper presents an error analysis and correction model for four structured light methods applied to three common types of biological tissue; skin, fat and muscle. Despite its many advantages, structured light is based on the assumption of direct reflection at the object surface only......, statistical linear model based on the scan geometry. As such, scans can be corrected without introducing any specially designed pattern strategy or hardware. We can effectively reduce the error in a structured light scanner applied to biological tissue by as much as factor of two or three........ This assumption is violated by most biological material e.g. human skin, which exhibits subsurface scattering. In this study, we find that in general, structured light scans of biological tissue deviate significantly from the ground truth. We show that a large portion of this error can be predicted with a simple...

  3. Genetic and evolutionary analysis of the Drosophila larval neuromuscular junction

    Science.gov (United States)

    Campbell, Megan

    Although evolution of brains and behaviors is of fundamental biological importance, we lack comprehensive understanding of the general principles governing these processes or the specific mechanisms and molecules through which the evolutionary changes are effected. Because synapses are the basic structural and functional units of nervous systems, one way to address these problems is to dissect the genetic and molecular pathways responsible for morphological evolution of a defined synapse. I have undertaken such an analysis by examining morphology of the larval neuromuscular junction (NMJ) in wild caught D. melanogaster as well as in over 20 other species of Drosophila. Whereas variation in NMJ morphology within a species is limited, I discovered a surprisingly extensive variation among different species. Compared with evolution of other morphological traits, NMJ morphology appears to be evolving very rapidly. Moreover, my data indicate that natural selection rather than genetic drift is primarily responsible for evolution of NMJ morphology. To dissect underlying molecular mechanisms that may govern NMJ growth and evolutionary divergence, I focused on a naturally occurring variant in D. melanogaster that causes NMJ overgrowth. I discovered that the variant mapped to Mob2, a gene encoding a kinase adapter protein originally described in yeast as a member of the Mitotic Exit Network (MEN). I have subsequently examined mutations in the Drosophila orthologs of all the core components of the yeast MEN and found that all of them function as part of a common pathway that acts presynaptically to negatively regulate NMJ growth. As in the regulation of yeast cytokinesis, these components of the MEN appear to act ultimately by regulating actin dynamics during the process of bouton growth and division. These studies have thus led to the discovery of an entirely new role for the MEN---regulation of synaptic growth---that is separate from its function in cell division. This work

  4. Interactive analysis of systems biology molecular expression data

    Directory of Open Access Journals (Sweden)

    Prabhakar Sunil

    2008-02-01

    Full Text Available Abstract Background Systems biology aims to understand biological systems on a comprehensive scale, such that the components that make up the whole are connected to one another and work through dependent interactions. Molecular correlations and comparative studies of molecular expression are crucial to establishing interdependent connections in systems biology. The existing software packages provide limited data mining capability. The user must first generate visualization data with a preferred data mining algorithm and then upload the resulting data into the visualization package for graphic visualization of molecular relations. Results Presented is a novel interactive visual data mining application, SysNet that provides an interactive environment for the analysis of high data volume molecular expression information of most any type from biological systems. It integrates interactive graphic visualization and statistical data mining into a single package. SysNet interactively presents intermolecular correlation information with circular and heatmap layouts. It is also applicable to comparative analysis of molecular expression data, such as time course data. Conclusion The SysNet program has been utilized to analyze elemental profile changes in response to an increasing concentration of iron (Fe in growth media (an ionomics dataset. This study case demonstrates that the SysNet software is an effective platform for interactive analysis of molecular expression information in systems biology.

  5. Timing Analysis of Genetic Logic Circuits using D-VASim

    DEFF Research Database (Denmark)

    Baig, Hasan; Madsen, Jan

    and propagation delay analysis of single as well as cascaded geneticlogic circuits can be performed. D-VASim allows user to change the circuit parameters during runtime simulation to observe its effectson circuit’s timing behavior. The results obtained from D-VASim can be used not only to characterize the timing...... delay analysis may play a very significant role in the designing of genetic logic circuits. In thisdemonstration, we present the capability of D-VASim (Dynamic Virtual Analyzer and Simulator) to perform the timing and propagationdelay analysis of genetic logic circuits. Using D-VASim, the timing...... behavior of geneticlogic circuits but also to analyze the timing constraints of cascaded genetic logic circuits....

  6. Population genetic structure of skipjack tuna Katsuwonus pelamis from the Indian coast using sequence analysis of the mitochondrial DNA D-loop region

    Digital Repository Service at National Institute of Oceanography (India)

    Menezes, M.R.; Kumar, G.; Kunal, S.P.

    Biology (2012) 80, 2198–2212 doi:10.1111/j.1095-8649.2012.03270.x, available online at wileyonlinelibrary.com Population genetic structure of skipjack tuna Katsuwonus pelamis from the Indian coast using sequence analysis of the mitochondrial DNA D...-loop region M. R. Menezes*, G. Kumar and S. P. Kunal Biological Oceanography Division, National Institute of Oceanography (CSIR), Dona Paula, Goa 403 004, India (Received 26 May 2011, Accepted 14 February 2012) Genetic structure of skipjack tuna Katsuwonus...

  7. Human Ageing Genomic Resources: Integrated databases and tools for the biology and genetics of ageing

    Science.gov (United States)

    Tacutu, Robi; Craig, Thomas; Budovsky, Arie; Wuttke, Daniel; Lehmann, Gilad; Taranukha, Dmitri; Costa, Joana; Fraifeld, Vadim E.; de Magalhães, João Pedro

    2013-01-01

    The Human Ageing Genomic Resources (HAGR, http://genomics.senescence.info) is a freely available online collection of research databases and tools for the biology and genetics of ageing. HAGR features now several databases with high-quality manually curated data: (i) GenAge, a database of genes associated with ageing in humans and model organisms; (ii) AnAge, an extensive collection of longevity records and complementary traits for >4000 vertebrate species; and (iii) GenDR, a newly incorporated database, containing both gene mutations that interfere with dietary restriction-mediated lifespan extension and consistent gene expression changes induced by dietary restriction. Since its creation about 10 years ago, major efforts have been undertaken to maintain the quality of data in HAGR, while further continuing to develop, improve and extend it. This article briefly describes the content of HAGR and details the major updates since its previous publications, in terms of both structure and content. The completely redesigned interface, more intuitive and more integrative of HAGR resources, is also presented. Altogether, we hope that through its improvements, the current version of HAGR will continue to provide users with the most comprehensive and accessible resources available today in the field of biogerontology. PMID:23193293

  8. Workable male sterility systems for hybrid rice: Genetics, biochemistry, molecular biology, and utilization.

    Science.gov (United States)

    Huang, Jian-Zhong; E, Zhi-Guo; Zhang, Hua-Li; Shu, Qing-Yao

    2014-12-01

    The exploitation of male sterility systems has enabled the commercialization of heterosis in rice, with greatly increased yield and total production of this major staple food crop. Hybrid rice, which was adopted in the 1970s, now covers nearly 13.6 million hectares each year in China alone. Various types of cytoplasmic male sterility (CMS) and environment-conditioned genic male sterility (EGMS) systems have been applied in hybrid rice production. In this paper, recent advances in genetics, biochemistry, and molecular biology are reviewed with an emphasis on major male sterility systems in rice: five CMS systems, i.e., BT-, HL-, WA-, LD- and CW- CMS, and two EGMS systems, i.e., photoperiod- and temperature-sensitive genic male sterility (P/TGMS). The interaction of chimeric mitochondrial genes with nuclear genes causes CMS, which may be restored by restorer of fertility (Rf) genes. The PGMS, on the other hand, is conditioned by a non-coding RNA gene. A survey of the various CMS and EGMS lines used in hybrid rice production over the past three decades shows that the two-line system utilizing EGMS lines is playing a steadily larger role and TGMS lines predominate the current two-line system for hybrid rice production. The findings and experience gained during development and application of, and research on male sterility in rice not only advanced our understanding but also shed light on applications to other crops.

  9. The association of telomere length and genetic variation in telomere biology genes.

    Science.gov (United States)

    Mirabello, Lisa; Yu, Kai; Kraft, Peter; De Vivo, Immaculata; Hunter, David J; Prescott, Jennifer; Wong, Jason Y Y; Chatterjee, Nilanjan; Hayes, Richard B; Savage, Sharon A

    2010-09-01

    Telomeres cap chromosome ends and are critical for genomic stability. Many telomere-associated proteins are important for telomere length maintenance. Recent genome-wide association studies (GWAS) have identified single nucleotide polymorphisms (SNPs) in genes encoding telomere-associated proteins (RTEL1 and TERT-CLPTM1) as markers of cancer risk. We conducted an association study of telomere length and 743 SNPs in 43 telomere biology genes. Telomere length in peripheral blood DNA was determined by Q-PCR in 3,646 participants from the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial and Nurses' Health Study. We investigated associations by SNP, gene, and pathway (functional group). We found no associations between telomere length and SNPs in TERT-CLPTM1L or RTEL1. Telomere length was not significantly associated with specific functional groups. Thirteen SNPs from four genes (MEN1, MRE11A, RECQL5, and TNKS) were significantly associated with telomere length. The strongest findings were in MEN1 (gene-based P=0.006), menin, which associates with the telomerase promoter and may negatively regulate telomerase. This large association study did not find strong associations with telomere length. The combination of limited diversity and evolutionary conservation suggest that these genes may be under selective pressure. More work is needed to explore the role of genetic variants in telomere length regulation. Published 2010 Wiley-Liss, Inc.

  10. The role of the SIBLING, Bone Sialoprotein in skeletal biology - Contribution of mouse experimental genetics.

    Science.gov (United States)

    Bouleftour, Wafa; Juignet, Laura; Bouet, Guenaelle; Granito, Renata Neves; Vanden-Bossche, Arnaud; Laroche, Norbert; Aubin, Jane E; Lafage-Proust, Marie-Hélène; Vico, Laurence; Malaval, Luc

    2016-01-01

    Bone Sialoprotein (BSP) is a member of the "Small Integrin-Binding Ligand N-linked Glycoproteins" (SIBLING) extracellular matrix protein family of mineralized tissues. BSP has been less studied than other SIBLING proteins such as Osteopontin (OPN), which is coexpressed with it in several skeletal cell types. Here we review the contribution of genetically engineered mice (BSP gene knockout and overexpression) to the understanding of the role of BSP in the bone organ. The studies made so far highlight the role of BSP in skeletal mineralization, as well as its importance for proper osteoblast and osteoclast differentiation and activity, most prominently in primary/repair bone. The absence of BSP also affects the local environment of the bone tissue, in particular hematopoiesis and vascularization. Interestingly, lack of BSP induces an overexpression of OPN, and the cognate protein could be responsible for some aspects of the BSP gene knockout skeletal phenotype, while replacing BSP for some of its functions. Such interplay between the partly overlapping functions of SIBLING proteins, as well as the network of cross-regulations in which they are involved should now be the focus of further work. Copyright © 2016 International Society of Matrix Biology. Published by Elsevier B.V. All rights reserved.

  11. Genetic and genomic analysis of RNases in model cyanobacteria.

    Science.gov (United States)

    Cameron, Jeffrey C; Gordon, Gina C; Pfleger, Brian F

    2015-10-01

    Cyanobacteria are diverse photosynthetic microbes with the ability to convert CO2 into useful products. However, metabolic engineering of cyanobacteria remains challenging because of the limited resources for modifying the expression of endogenous and exogenous biochemical pathways. Fine-tuned control of protein production will be critical to optimize the biological conversion of CO2 into desirable molecules. Messenger RNAs (mRNAs) are labile intermediates that play critical roles in determining the translation rate and steady-state protein concentrations in the cell. The majority of studies on mRNA turnover have focused on the model heterotrophic bacteria Escherichia coli and Bacillus subtilis. These studies have elucidated many RNA modifying and processing enzymes and have highlighted the differences between these Gram-negative and Gram-positive bacteria, respectively. In contrast, much less is known about mRNA turnover in cyanobacteria. We generated a compendium of the major ribonucleases (RNases) and provide an in-depth analysis of RNase III-like enzymes in commonly studied and diverse cyanobacteria. Furthermore, using targeted gene deletion, we genetically dissected the RNases in Synechococcus sp. PCC 7002, one of the fastest growing and industrially attractive cyanobacterial strains. We found that all three cyanobacterial homologs of RNase III and a member of the RNase II/R family are not essential under standard laboratory conditions, while homologs of RNase E/G, RNase J1/J2, PNPase, and a different member of the RNase II/R family appear to be essential for growth. This work will enhance our understanding of native control of gene expression and will facilitate the development of an RNA-based toolkit for metabolic engineering in cyanobacteria.

  12. Genetic diversity analysis of common beans based on molecular markers

    Directory of Open Access Journals (Sweden)

    Homar R. Gill-Langarica

    Full Text Available A core collection of the common bean (Phaseolus vulgaris L., representing genetic diversity in the entire Mexican holding, is kept at the INIFAP (Instituto Nacional de Investigaciones Forestales, Agricolas y Pecuarias, Mexico Germplasm Bank. After evaluation, the genetic structure of this collection (200 accessions was compared with that of landraces from the states of Oaxaca, Chiapas and Veracruz (10 genotypes from each, as well as a further 10 cultivars, by means of four amplified fragment length polymorphisms (AFLP +3/+3 primer combinations and seven simple sequence repeats (SSR loci, in order to define genetic diversity, variability and mutual relationships. Data underwent cluster (UPGMA and molecular variance (AMOVA analyses. AFLP analysis produced 530 bands (88.5% polymorphic while SSR primers amplified 174 alleles, all polymorphic (8.2 alleles per locus. AFLP indicated that the highest genetic diversity was to be found in ten commercial-seed classes from two major groups of accessions from Central Mexico and Chiapas, which seems to be an important center of diversity in the south. A third group included genotypes from Nueva Granada, Mesoamerica, Jalisco and Durango races. Here, SSR analysis indicated a reduced number of shared haplotypes among accessions, whereas the highest genetic components of AMOVA variation were found within accessions. Genetic diversity observed in the common-bean core collection represents an important sample of the total Phaseolus genetic variability at the main Germplasm Bank of INIFAP. Molecular marker strategies could contribute to a better understanding of the genetic structure of the core collection as well as to its improvement and validation.

  13. Genetic diversity analysis of common beans based on molecular markers

    Directory of Open Access Journals (Sweden)

    Homar R. Gill-Langarica

    2011-01-01

    Full Text Available A core collection of the common bean (Phaseolus vulgaris L., representing genetic diversity in the entire Mexican holding, is kept at the INIFAP (Instituto Nacional de Investigaciones Forestales, Agricolas y Pecuarias, Mexico Germplasm Bank. After evaluation, the genetic structure of this collection (200 accessions was compared with that of landraces from the states of Oaxaca, Chiapas and Veracruz (10 genotypes from each, as well as a further 10 cultivars, by means of four amplified fragment length polymorphisms (AFLP +3/+3 primer combinations and seven simple sequence repeats (SSR loci, in order to define genetic diversity, variability and mutual relationships. Data underwent cluster (UPGMA and molecular variance (AMOVA analyses. AFLP analysis produced 530 bands (88.5% polymorphic while SSR primers amplified 174 alleles, all polymorphic (8.2 alleles per locus. AFLP indicated that the highest genetic diversity was to be found in ten commercial-seed classes from two major groups of accessions from Central Mexico and Chiapas, which seems to be an important center of diversity in the south. A third group included genotypes from Nueva Granada, Mesoamerica, Jalisco and Durango races. Here, SSR analysis indicated a reduced number of shared haplotypes among accessions, whereas the highest genetic components of AMOVA variation were found within accessions. Genetic diversity observed in the common-bean core collection represents an important sample of the total Phaseolus genetic variability at the main Germplasm Bank of INIFAP. Molecular marker strategies could contribute to a better understanding of the genetic structure of the core collection as well as to its improvement and validation.

  14. Genetic diversity analysis of common beans based on molecular markers.

    Science.gov (United States)

    Gill-Langarica, Homar R; Muruaga-Martínez, José S; Vargas-Vázquez, M L Patricia; Rosales-Serna, Rigoberto; Mayek-Pérez, Netzahualcoyotl

    2011-10-01

    A core collection of the common bean (Phaseolus vulgaris L.), representing genetic diversity in the entire Mexican holding, is kept at the INIFAP (Instituto Nacional de Investigaciones Forestales, Agricolas y Pecuarias, Mexico) Germplasm Bank. After evaluation, the genetic structure of this collection (200 accessions) was compared with that of landraces from the states of Oaxaca, Chiapas and Veracruz (10 genotypes from each), as well as a further 10 cultivars, by means of four amplified fragment length polymorphisms (AFLP) +3/+3 primer combinations and seven simple sequence repeats (SSR) loci, in order to define genetic diversity, variability and mutual relationships. Data underwent cluster (UPGMA) and molecular variance (AMOVA) analyses. AFLP analysis produced 530 bands (88.5% polymorphic) while SSR primers amplified 174 alleles, all polymorphic (8.2 alleles per locus). AFLP indicated that the highest genetic diversity was to be found in ten commercial-seed classes from two major groups of accessions from Central Mexico and Chiapas, which seems to be an important center of diversity in the south. A third group included genotypes from Nueva Granada, Mesoamerica, Jalisco and Durango races. Here, SSR analysis indicated a reduced number of shared haplotypes among accessions, whereas the highest genetic components of AMOVA variation were found within accessions. Genetic diversity observed in the common-bean core collection represents an important sample of the total Phaseolus genetic variability at the main Germplasm Bank of INIFAP. Molecular marker strategies could contribute to a better understanding of the genetic structure of the core collection as well as to its improvement and validation.

  15. Continuum analysis of biological systems conserved quantities, fluxes and forces

    CERN Document Server

    Suraishkumar, G K

    2014-01-01

    This book addresses the analysis, in the continuum regime, of biological systems at various scales, from the cellular level to the industrial one. It presents both fundamental conservation principles (mass, charge, momentum and energy) and relevant fluxes resulting from appropriate driving forces, which are important for the analysis, design and operation of biological systems. It includes the concept of charge conservation, an important principle for biological systems that is not explicitly covered in any other book of this kind. The book is organized in five parts: mass conservation; charge conservation; momentum conservation; energy conservation; and multiple conservations simultaneously applied. All mathematical aspects are presented step by step, allowing any reader with a basic mathematical background (calculus, differential equations, linear algebra, etc.) to follow the text with ease. The book promotes an intuitive understanding of all the relevant principles and in so doing facilitates their applica...

  16. A genetic analysis of retinitis pigmentosa

    Directory of Open Access Journals (Sweden)

    Shanker Jayashree

    1993-01-01

    Full Text Available The data consists of sixty probands affected with Retinitis pigmentosa. Syndromic cases were found in five percent of the RP probands. Segregation analysis was carried out on proband sibship data. The ascertainment probability was estimated at 0.5517. Analysis of the data by parental mating types of proband sibships indicated the presence of dominant forms of RP (2.05%. Analysis of proband sibships indicated the presence of low risk families in the Normal x Normal matings (45% and in the consanguineous matings (40%. The hypothesis of recessive inheritance could be confirmed only in multiplex sibships (p = 0.383 +/- 0.0793. Data on proband matings though incomplete conformed in general to autosomal recessive gene hypothesis.

  17. Solid-phase microextraction for the analysis of biological samples

    NARCIS (Netherlands)

    Theodoridis, G; Koster, EHM; de Jong, GJ

    2000-01-01

    Solid-phase microextraction (SPME) has been introduced for the extraction of organic compounds from environmental samples. This relatively new extraction technique has now also gained a lot of interest in a broad field of analysis including food, biological and pharmaceutical samples. SPME has a

  18. Local Citation Analysis of Graduate Biology Theses: Collection Development Implications

    Science.gov (United States)

    Miller, Laura Newton

    2011-01-01

    This paper will focus on the citation analysis of graduate masters theses from Carleton University's Biology Department with implications for library collection management decisions. Twenty-five masters theses were studied to determine citation types and percentages, ranking of journals by frequency of citation and by number of authors citing, and…

  19. Psychology and evolutionary biology; Causal analysis, evidence, and nomothetic laws

    NARCIS (Netherlands)

    Van Hezewijk, René

    2008-01-01

    Published as a chapter in Van Hezewijk, R. (2003). Psychology and evolutionary biology; Causal analysis, evidence, and nomothetic laws. In N. Stephenson, L. Radtke, R. Jorna & H. J. Stam (Eds.), Theoretical psychology; Critical contributions (pp. 405-415). Concord, Ontario: Captus Press.

  20. Compatibility analysis of 3D printer resin for biological applications

    KAUST Repository

    Sivashankar, Shilpa; Agambayev, Sumeyra; Alamoudi, Kholod; Buttner, Ulrich; Khashab, Niveen M.; Salama, Khaled N.

    2016-01-01

    and that had the least effect on biological molecules that could be used for PCR and protein interactions and cells, whereas the others were used after treating the surface. Importance in building lab-on-chip/micrototal analysis systems and organ

  1. A genetic analysis of Adh1 regulation

    Energy Technology Data Exchange (ETDEWEB)

    Freeling, M.

    1992-01-01

    The overall goal of our research proposal is to understand the meaning of the various cis-acting sites responsible for AdH1 expression in the entire maize plant. Progress is reported in the following areas: Studies on the TATA box and analysis of revertants of the Adh1-3F1124 allele; screening for more different mutants that affect Adh1 expression differentially; studies on cis-acting sequences required for root-specific Adh1 expression; refinement of the use of the particle gun; and functional analysis of a non- glycolytic anaerobic protein.

  2. Toxicological Analysis of Some Drugs of Abuse in Biological Samples

    Directory of Open Access Journals (Sweden)

    Anne Marie Ciobanu

    2015-10-01

    Full Text Available Consumption of drugs of abuse is a scourge of modern world. Abuse, drug addiction and their consequences are one of the major current problems of European society because of the significant repercussions in individual, family, social and economic level. In this context, toxicological analysis of the drugs of abuse in biological samples is a useful tool for: diagnosis of drug addiction, checking an auto-response, mandatory screening in some treatment programs, identification of a substance in the case of an overdose, determining compliance of the treatment. The present paper aims to address the needs of healthcare professionals involved in drugs addiction treatment through systematic presentation of information regarding their toxicological analysis. Basically, it is a tool that help you to select the suitable biological sample and the right collecting time, as well as the proper analysis technique, depending on the purpose of analysis, pharmacokinetic characteristics of the drugs of abuse, available equipment and staff expertise.

  3. Genetic analysis for grain quality traits in pakistani wheat varieties

    International Nuclear Information System (INIS)

    Minhas, N.M.; Ajmal, S.U.; Iqbal, Z.; Munir, M.

    2014-01-01

    A set of eight parental diallel involving seven commercial wheat cultivars and one breeding line was made to investigate the nature of gene action determining inheritance pattern of grain quality characters. Highly significant differences were observed among the genotypes for 1000 grain weight, protein content, wet gluten and lysine content. Adequacy tests were employed to estimate the fitness of data sets to additive dominance model. Both the tests i.e. analysis of uniformity of Wr, Vr and joint regression analysis validated the data of these traits for genetic analysis. Gene actions for grain quality traits were ascertained following Hayman's analysis of variance. Results of the genetic analysis revealed that both additive and dominance genetic components were involved in the manifestation of characters under study. However, additive gene effects were more pronounced in the genetic control of these traits. Non significance of b1, b2 and b3 values revealed the absence of directional dominance, symmetrical distribution of genes among the parental lines and absence of specific genes action respectively in all the traits. Maternal effects were also noted in 1000 grain weight, protein content and wet gluten percentage. It is concluded that additive effects are crucial in the expression of grain quality characters of wheat in germplasm under study and single plant selection may be recommended in segregating generations for effective improvement in these characters. (author)

  4. A systems biology approach for pathway level analysis

    OpenAIRE

    Draghici, Sorin; Khatri, Purvesh; Tarca, Adi Laurentiu; Amin, Kashyap; Done, Arina; Voichita, Calin; Georgescu, Constantin; Romero, Roberto

    2007-01-01

    A common challenge in the analysis of genomics data is trying to understand the underlying phenomenon in the context of all complex interactions taking place on various signaling pathways. A statistical approach using various models is universally used to identify the most relevant pathways in a given experiment. Here, we show that the existing pathway analysis methods fail to take into consideration important biological aspects and may provide incorrect results in certain situations. By usin...

  5. Differentially expressed genes distributed over chromosomes and implicated in certain biological processes for site insertion genetically modified rice Kemingdao.

    Science.gov (United States)

    Liu, Zhi; Li, Yunhe; Zhao, Jie; Chen, Xiuping; Jian, Guiliang; Peng, Yufa; Qi, Fangjun

    2012-01-01

    Release of genetically modified (GM) plants has sparked off intensive debates worldwide partly because of concerns about potential adverse unintended effects of GM plants to the agro system and the safety of foods. In this study, with the aim of revealing the molecular basis for unintended effects of a single site insertion GM Kemingdao (KMD) rice transformed with a synthetic cry1Ab gene, and bridging unintended effects of KMD rice through clues of differentially expressed genes, comparative transcriptome analyses were performed for GM KMD rice and its parent rice of Xiushui11 (XS11). The results showed that 680 differentially expressed transcripts were identified from 30-day old seedlings of GM KMD rice. The absolute majority of these changed expression transcripts dispersed and located over all rice chromosomes, and existed physical distance on chromosome from the insertion site, while only two transcripts were found to be differentially expressed within the 21 genes located within 100 kb up and down-stream of the insertion site. Pathway and biology function analyses further revealed that differentially expressed transcripts of KMD rice were involved in certain biological processes, and mainly implicated in two types of pathways. One type was pathways implicated in plant stress/defense responses, which were considerably in coordination with the reported unintended effects of KMD rice, which were more susceptible to rice diseases compared to its parent rice XS11; the other type was pathways associated with amino acids metabolism. With this clue, new unintended effects for changes in amino acids synthesis of KMD rice leaves were successfully revealed. Such that an actual case was firstly provided for identification of unintended effects in GM plants by comparative transciptome analysis.

  6. Genetic analysis of repeated, biparental, diploid, hydatidiform moles

    DEFF Research Database (Denmark)

    Sunde, Lone; Vejerslev, Lars O.; Jensen, Mie Poulsen

    1993-01-01

    for the abnormal development can be envisaged, environmental as well as genetic. To conform to current ideas of molar pathogenesis, it is suggested that the present conceptuses might have arisen from imbalances in imprinted genomic regions. This could be a consequence of uniparental disomy in critical regions......A woman presented with five consecutive pregnancies displaying molar morphology. In the fifth pregnancy, a non-malformed, liveborn infant was delivered. Genetic analyses (RFLP analysis, cytogenetics, flow cytometry) were performed in pregnancies II-V. It was demonstrated that these pregnancies...... originated in separate conceptions, all conceptuses were diploid, and all had maternally as well as paternally derived genetic markers. By cytogenetic analysis, aberrant heteromorphisms were noted; no other abnormalities were observed in chromosome structure or in DNA sequence. Many different causes...

  7. Bioinformatics approaches to single-cell analysis in developmental biology.

    Science.gov (United States)

    Yalcin, Dicle; Hakguder, Zeynep M; Otu, Hasan H

    2016-03-01

    Individual cells within the same population show various degrees of heterogeneity, which may be better handled with single-cell analysis to address biological and clinical questions. Single-cell analysis is especially important in developmental biology as subtle spatial and temporal differences in cells have significant associations with cell fate decisions during differentiation and with the description of a particular state of a cell exhibiting an aberrant phenotype. Biotechnological advances, especially in the area of microfluidics, have led to a robust, massively parallel and multi-dimensional capturing, sorting, and lysis of single-cells and amplification of related macromolecules, which have enabled the use of imaging and omics techniques on single cells. There have been improvements in computational single-cell image analysis in developmental biology regarding feature extraction, segmentation, image enhancement and machine learning, handling limitations of optical resolution to gain new perspectives from the raw microscopy images. Omics approaches, such as transcriptomics, genomics and epigenomics, targeting gene and small RNA expression, single nucleotide and structural variations and methylation and histone modifications, rely heavily on high-throughput sequencing technologies. Although there are well-established bioinformatics methods for analysis of sequence data, there are limited bioinformatics approaches which address experimental design, sample size considerations, amplification bias, normalization, differential expression, coverage, clustering and classification issues, specifically applied at the single-cell level. In this review, we summarize biological and technological advancements, discuss challenges faced in the aforementioned data acquisition and analysis issues and present future prospects for application of single-cell analyses to developmental biology. © The Author 2015. Published by Oxford University Press on behalf of the European

  8. SSR Analysis of Genetic Diversity Among 192 Diploid Potato Cultivars

    Directory of Open Access Journals (Sweden)

    Xiaoyan Song

    2016-05-01

    Full Text Available In potato breeding, it is difficult to improve the traits of interest at the tetraploid level due to the tetrasomic inheritance. A promising alternative is diploid breeding. Thus it is necessary to assess the genetic diversity of diploid potato germplasm for efficient exploration and deployment of desirable traits. In this study, we used SSR markers to evaluate the genetic diversity of diploid potato cultivars. To screen polymorphic SSR markers, 55 pairs of SSR primers were employed to amplify 39 cultivars with relatively distant genetic relationships. Among them, 12 SSR markers with high polymorphism located at 12 chromosomes were chosen to evaluate the genetic diversity of 192 diploid potato cultivars. The primers produced 6 to 18 bands with an average of 8.2 bands per primer. In total, 98 bands were amplified from 192 cultivars, and 97 of them were polymorphic. Cluster analysis using UPGMA showed the genetic relationships of all accessions tested: 186 of the 192 accessions could be distinguished by only 12 pairs of SSR primers, and the 192 diploid cultivars were divided into 11 groups, and 83.3% constituted the first group. Clustering results showed relatively low genetic diversity among 192 diploid cultivars, with closer relationship at the molecular level. The results can provide molecular basis for diploid potato breeding.

  9. Analysis and design of a genetic circuit for dynamic metabolic engineering.

    Science.gov (United States)

    Anesiadis, Nikolaos; Kobayashi, Hideki; Cluett, William R; Mahadevan, Radhakrishnan

    2013-08-16

    Recent advances in synthetic biology have equipped us with new tools for bioprocess optimization at the genetic level. Previously, we have presented an integrated in silico design for the dynamic control of gene expression based on a density-sensing unit and a genetic toggle switch. In the present paper, analysis of a serine-producing Escherichia coli mutant shows that an instantaneous ON-OFF switch leads to a maximum theoretical productivity improvement of 29.6% compared to the mutant. To further the design, global sensitivity analysis is applied here to a mathematical model of serine production in E. coli coupled with a genetic circuit. The model of the quorum sensing and the toggle switch involves 13 parameters of which 3 are identified as having a significant effect on serine concentration. Simulations conducted in this reduced parameter space further identified the optimal ranges for these 3 key parameters to achieve productivity values close to the maximum theoretical values. This analysis can now be used to guide the experimental implementation of a dynamic metabolic engineering strategy and reduce the time required to design the genetic circuit components.

  10. Multivariate Methods for Meta-Analysis of Genetic Association Studies.

    Science.gov (United States)

    Dimou, Niki L; Pantavou, Katerina G; Braliou, Georgia G; Bagos, Pantelis G

    2018-01-01

    Multivariate meta-analysis of genetic association studies and genome-wide association studies has received a remarkable attention as it improves the precision of the analysis. Here, we review, summarize and present in a unified framework methods for multivariate meta-analysis of genetic association studies and genome-wide association studies. Starting with the statistical methods used for robust analysis and genetic model selection, we present in brief univariate methods for meta-analysis and we then scrutinize multivariate methodologies. Multivariate models of meta-analysis for a single gene-disease association studies, including models for haplotype association studies, multiple linked polymorphisms and multiple outcomes are discussed. The popular Mendelian randomization approach and special cases of meta-analysis addressing issues such as the assumption of the mode of inheritance, deviation from Hardy-Weinberg Equilibrium and gene-environment interactions are also presented. All available methods are enriched with practical applications and methodologies that could be developed in the future are discussed. Links for all available software implementing multivariate meta-analysis methods are also provided.

  11. SNP and haplotype mapping for genetic analysis in the rat

    Czech Academy of Sciences Publication Activity Database

    Saar, K.; Beck, A.; Bihoreau, M. T.; Birney, E.; Brocklebank, D.; Chen, Y.; Cuppen, E.; Demonchy, S.; Dopazo, J.; Flicek, P.; Foglio, M.; Fujiyama, A.; Gut, I. G.; Gauguier, D.; Guigo, R.; Guryev, V.; Heinig, M.; Hummel, O.; Jahn, N.; Klages, S.; Křen, Vladimír; Kube, M.; Kuhl, H.; Kuramoto, T.; Pravenec, Michal

    2008-01-01

    Roč. 40, č. 5 (2008), s. 560-566 ISSN 1061-4036 R&D Projects: GA MŠk(CZ) 1P05ME791; GA MŠk(CZ) 1M0520; GA MŠk(CZ) ME08006 Grant - others:HHMI(US) 55005624; -(XE) LSHG-CT-2005-019015 Institutional research plan: CEZ:AV0Z50110509 Source of funding: N - neverejné zdroje ; R - rámcový projekt EK Keywords : SNP * rat * complete map Subject RIV: EB - Genetics ; Molecular Biology Impact factor: 30.259, year: 2008

  12. Genetic analysis of metabolic defects in the spontaneously hypertensive rat

    Czech Academy of Sciences Publication Activity Database

    Pravenec, Michal; Zídek, Václav; Musilová, Alena; Šimáková, Miroslava; Kostka, Vlastimil; Mlejnek, Petr; Křen, Vladimír; Křenová, D.; Bílá, V.; Míková, B.; Jáchymová, M.; Horký, K.; Kazdová, L.; St.Lezin, E.; Kurtz, W. T.

    2002-01-01

    Roč. 13, č. 5 (2002), s. 253-258 ISSN 0938-8990 R&D Projects: GA MŠk LN00A079; GA ČR GV204/98/K015; GA ČR GA305/00/1646; GA MŠk NB5299 Grant - others:NIH(US) RO1 HL56028; NIH(US) PO1 HL35018; HHMI(US) 55000331 Institutional research plan: CEZ:AV0Z5011922 Keywords : metabolic defects * spontaneously hypertensive rat Subject RIV: EB - Genetics ; Molecular Biology Impact factor: 2.233, year: 2002

  13. Certification of biological reference materials by instrumental neutron activation analysis

    International Nuclear Information System (INIS)

    Lanjewar, Mamata R.; Lanjewar, R.B.

    2014-01-01

    A multielemental instrumental neutron activation analysis (INAA) method by short and long irradiation has been employed for the determination of 21 minor and trace elements in two standard Reference Materials P-RBF and P-WBF from Institute of Radioecology and Applied Nuclear Techniques ,Czechoslovakia. Also some biological standards such as Bowen's kale, cabbage leaves (Poland) including wheat and rice flour samples of local origin were analysed. It is suggested that INAA is an ideal method for the certification of Reference Materials of Biological Matrices. (author)

  14. SBEToolbox: A Matlab Toolbox for Biological Network Analysis.

    Science.gov (United States)

    Konganti, Kranti; Wang, Gang; Yang, Ence; Cai, James J

    2013-01-01

    We present SBEToolbox (Systems Biology and Evolution Toolbox), an open-source Matlab toolbox for biological network analysis. It takes a network file as input, calculates a variety of centralities and topological metrics, clusters nodes into modules, and displays the network using different graph layout algorithms. Straightforward implementation and the inclusion of high-level functions allow the functionality to be easily extended or tailored through developing custom plugins. SBEGUI, a menu-driven graphical user interface (GUI) of SBEToolbox, enables easy access to various network and graph algorithms for programmers and non-programmers alike. All source code and sample data are freely available at https://github.com/biocoder/SBEToolbox/releases.

  15. Genetic diversity of popcorn genotypes using molecular analysis.

    Science.gov (United States)

    Resh, F S; Scapim, C A; Mangolin, C A; Machado, M F P S; do Amaral, A T; Ramos, H C C; Vivas, M

    2015-08-19

    In this study, we analyzed dominant molecular markers to estimate the genetic divergence of 26 popcorn genotypes and evaluate whether using various dissimilarity coefficients with these dominant markers influences the results of cluster analysis. Fifteen random amplification of polymorphic DNA primers produced 157 amplified fragments, of which 65 were monomorphic and 92 were polymorphic. To calculate the genetic distances among the 26 genotypes, the complements of the Jaccard, Dice, and Rogers and Tanimoto similarity coefficients were used. A matrix of Dij values (dissimilarity matrix) was constructed, from which the genetic distances among genotypes were represented in a more simplified manner as a dendrogram generated using the unweighted pair-group method with arithmetic average. Clusters determined by molecular analysis generally did not group material from the same parental origin together. The largest genetic distance was between varieties 17 (UNB-2) and 18 (PA-091). In the identification of genotypes with the smallest genetic distance, the 3 coefficients showed no agreement. The 3 dissimilarity coefficients showed no major differences among their grouping patterns because agreement in determining the genotypes with large, medium, and small genetic distances was high. The largest genetic distances were observed for the Rogers and Tanimoto dissimilarity coefficient (0.74), followed by the Jaccard coefficient (0.65) and the Dice coefficient (0.48). The 3 coefficients showed similar estimations for the cophenetic correlation coefficient. Correlations among the matrices generated using the 3 coefficients were positive and had high magnitudes, reflecting strong agreement among the results obtained using the 3 evaluated dissimilarity coefficients.

  16. A genetic analysis of Adhl regulation

    Energy Technology Data Exchange (ETDEWEB)

    Freeling, M.

    1992-01-01

    Several separate but related studies are reported on the mechanism of alcohol dehydrogenase (Adh-1) are reported. A study of a deletion mutation in the TATA box region which resulted in an increase from 6--60% of wildtype Adh-1 expression in the revertant has led to a focus on trans-acting protein factors that bind the TATA box. Analysis of another revertant has led to study of cis-acting sequences in Adh-1 expression. Screening efforts aimed at defining different mutants affecting Adh-1 expression are reported.

  17. Molecular analysis of genetic diversity in elite II synthetic hexaploid ...

    African Journals Online (AJOL)

    The present study was conducted to assess the genetic diversity of Elite-II synthetic hexaploid (SH) wheat by genome DNA fingerprinting as revealed by random amplified polymorphic DNA (RAPD) analysis. Ten decamer RAPD primers (OPG-1, OPG-2, OPG-3, OPG-4, OPG-5, OPA-3, OPA-4, OPA-5, OPA-8, and OPA-15) ...

  18. Analysis of genetic diversity in pigeon pea germplasm using ...

    Indian Academy of Sciences (India)

    MANEESHA

    2017-08-16

    Aug 16, 2017 ... Th, Thailand; It, Italy; B, Barbados; Ta, Taiwan; J, Jamaica; V, Venezuela; UK, United Kingdom; My, Myanmar; U, Uganda; G,. Germany. .... from Orissa (105) and AP (15) do not group with any .... In the present work, comparison between SSAP and ... fied polymorphism) for genetic analysis of sweet potato.

  19. Genetic and phylogenetic analysis of ten Gobiidae species in China ...

    African Journals Online (AJOL)

    To study the genetic and phylogenetic relationship of gobioid fishes in China, the representatives of 10 gobioid fishes from 2 subfamilies in China were examined by amplified fragment length polymorphism (AFLP) analysis. We established 220 AFLP bands for 45 individuals from the 10 species, and the percentage of ...

  20. Genetic analysis on the competitive ability of barley ( Hordeum ...

    African Journals Online (AJOL)

    Genetic analysis on the competitive ability of barley ( Hordeum vulgare L.) recombinant inbred lines intercropped with oat ( Avena sativa L.) weeds. ... Furthermore, the commonly used herbicide price is soaring from time to time and out of the reach of the poor farmers in the developing countries. Therefore, this method is an ...

  1. Genetic analysis of feather pecking behavior in laying hens

    NARCIS (Netherlands)

    Buitenhuis, A.J.

    2003-01-01

    This thesis describes the genetic analysis of feather pecking behavior in laying hens. Feather pecking (FP) is a major welfare problem in laying hens.In the European

  2. Genetic analysis of yield in peanut (Arachis hypogaea L.) using ...

    African Journals Online (AJOL)

    Jane

    2011-07-20

    Jul 20, 2011 ... only should the two major genes' effects be considered but also the polygene's effect should be considered in breeding to increase peanut yield. Key words: Peanut, yield, major gene plus polygene inheritance model, genetic analysis. INTRODUCTION. Peanut consists of diploid (2n = 2x = 20), tetraploid ...

  3. Genetic analysis of yield in peanut ( Arachis hypogaea L.) using ...

    African Journals Online (AJOL)

    The yield had significant major gene effect and the results implied that not only should the two major genes' effects be considered but also the polygene's effect should be considered in breeding to increase peanut yield. Key words: Peanut, yield, major gene plus polygene inheritance model, genetic analysis.

  4. Genetic diversity analysis of pearl millet ( Pennisetum glauccum [L ...

    African Journals Online (AJOL)

    between genotype PT 2835/1 and PT 5552 and lowest similarity index was observed between PT 5554 and PT 2835/1. Analysis of RAPD data appears to be helpful in determining the genetic relationship among 20 pearl millet genotypes. The associations among the 20 genotypes were also examined with Principle ...

  5. The genetic analysis of repeated measures I: Simplex models

    NARCIS (Netherlands)

    Molenaar, P.C.M.; Boomsma, D.I.

    1987-01-01

    Extends the simplex model to a model that may be used for the genetic and environmental analysis of covariance (ANCOVA) structures. This "double" simplex structure can be specified as a linear structural relationships model. It is shown that data that give rise to a simplex correlation structure,

  6. [Reverse genetics system of rotaviruses: development and application for analysis of VP4 spike protein].

    Science.gov (United States)

    Komoto, Satoshi

    2013-01-01

    The rotavirus genome is composed of 11 gene segments of double-stranded (ds)RNA. Reverse genetics is the powerful and ideal methodology for the molecular analysis of virus biology, which enables the virus genome to be artificially manipulated. Although reverse genetics systems exist for nearly all major groups of RNA viruses, development of such a system for rotaviruses is more challenging owing in part to the technical complexity of manipulation of their multi-segmented genome. A breakthrough in the field of rotavirus reverse genetics came in 2006, when we established the first reverse genetics system for rotaviruses, which is a partially plasmid-based system that permits replacement of a viral gene segment with the aid of a helper virus. Although this helper virus-driven system is technically limited and gives low levels of recombinant viruses, it allows alteration of the rotavirus genome, thus contributing to our understanding of these medically important viruses. In this review, I describe the development and application of our rotavirus reverse genetics system, and its future perspectives.

  7. Biological dosimetry: chromosomal aberration analysis for dose assessment

    International Nuclear Information System (INIS)

    1986-01-01

    In view of the growing importance of chromosomal aberration analysis as a biological dosimeter, the present report provides a concise summary of the scientific background of the subject and a comprehensive source of information at the technical level. After a review of the basic principles of radiation dosimetry and radiation biology basic information on the biology of lymphocytes, the structure of chromosomes and the classification of chromosomal aberrations are presented. This is followed by a presentation of techniques for collecting blood, storing, transporting, culturing, making chromosomal preparations and scaring of aberrations. The physical and statistical parameters involved in dose assessment are discussed and examples of actual dose assessments taken from the scientific literature are given

  8. Establishing working standards of chromosome aberrations analysis for biological dosimetry

    International Nuclear Information System (INIS)

    Bui Thi Kim Luyen; Tran Que; Pham Ngoc Duy; Nguyen Thi Kim Anh; Ha Thi Ngoc Lien

    2015-01-01

    Biological dosimetry is an dose assessment method using specify bio markers of radiation. IAEA (International Atomic Energy Agency) and ISO (International Organization for Standardization) defined that dicentric chromosome is specify for radiation, it is a gold standard for biodosimetry. Along with the documents published by IAEA, WHO, ISO and OECD, our results of study on the chromosome aberrations induced by radiation were organized systematically in nine standards that dealing with chromosome aberration test and micronucleus test in human peripheral blood lymphocytes in vitro. This standard addresses: the reference dose-effect for dose estimation, the minimum detection levels, cell culture, slide preparation, scoring procedure for chromosome aberrations use for biodosimetry, the criteria for converting aberration frequency into absorbed dose, reporting of results. Following these standards, the automatic analysis devices were calibrated for improving biological dosimetry method. This standard will be used to acquire and maintain accreditation of the Biological Dosimetry laboratory in Nuclear Research Institute. (author)

  9. Biological characteristics of genetic variants of Urabe AM9 mumps vaccine virus.

    Science.gov (United States)

    Wright, K E; Dimock, K; Brown, E G

    2000-03-01

    The Urabe AM9 mumps vaccine is composed of a mixture of variants distinguishable by a difference at nucleotide (nt) 1081 of the hemagglutinin-neuraminidase (HN) gene (Brown, E.G., Dimock, K., Wright, K.E., 1996. The Urabe AM9 mumps vaccine is a mixture of viruses differing at amino acid (aa) 335 of the hemagglutinin-neuraminidase gene with one form associated with disease. J. Infect. Dis. 174, 619-622.). Further genetic and biological variation was detected in plaque purified viruses from the Urabe AM9 vaccine by examining the HN gene sequence, plaque morphology, cytopathic effects and growth in Vero cells, and temperature sensitivity (ts). Infection of Vero cells with plaque purified viruses with a G at nt 1081 of the HN gene produced large, clear plaques, caused significant CPE early after infection but yielded lower titres of virus than other purified viruses. None of these viruses were ts. In contrast, half of the plaque purified viruses with an A at nt 1081 were sensitive to a temperature of 39.5 degrees C. These viruses produced small plaques, caused significant CPE and grew to low titres. Two ts viruses possessed a unique aa substitution at aa 468 of HN. The remaining A(1081) viruses were not ts, produced large plaques but little CPE, and grew to titres 10-fold higher than the G(1081) viruses. Isolates of Urabe AM9 associated with post-vaccination illness were similar to these non-ts A(1081) viruses, but could be further sub-divided into two groups on the basis of a difference at aa 464 of HN. The post-vaccination isolates may represent insufficiently attenuated components of the vaccine, while the G(1081) and ts subset of A(1081) viruses may be more fully attenuated.

  10. A Unifying Mathematical Framework for Genetic Robustness, Environmental Robustness, Network Robustness and their Trade-offs on Phenotype Robustness in Biological Networks. Part III: Synthetic Gene Networks in Synthetic Biology

    Science.gov (United States)

    Chen, Bor-Sen; Lin, Ying-Po

    2013-01-01

    Robust stabilization and environmental disturbance attenuation are ubiquitous systematic properties that are observed in biological systems at many different levels. The underlying principles for robust stabilization and environmental disturbance attenuation are universal to both complex biological systems and sophisticated engineering systems. In many biological networks, network robustness should be large enough to confer: intrinsic robustness for tolerating intrinsic parameter fluctuations; genetic robustness for buffering genetic variations; and environmental robustness for resisting environmental disturbances. Network robustness is needed so phenotype stability of biological network can be maintained, guaranteeing phenotype robustness. Synthetic biology is foreseen to have important applications in biotechnology and medicine; it is expected to contribute significantly to a better understanding of functioning of complex biological systems. This paper presents a unifying mathematical framework for investigating the principles of both robust stabilization and environmental disturbance attenuation for synthetic gene networks in synthetic biology. Further, from the unifying mathematical framework, we found that the phenotype robustness criterion for synthetic gene networks is the following: if intrinsic robustness + genetic robustness + environmental robustness ≦ network robustness, then the phenotype robustness can be maintained in spite of intrinsic parameter fluctuations, genetic variations, and environmental disturbances. Therefore, the trade-offs between intrinsic robustness, genetic robustness, environmental robustness, and network robustness in synthetic biology can also be investigated through corresponding phenotype robustness criteria from the systematic point of view. Finally, a robust synthetic design that involves network evolution algorithms with desired behavior under intrinsic parameter fluctuations, genetic variations, and environmental

  11. Genetic networking of the Bemisia tabaci cryptic species complex reveals pattern of biological invasions.

    Directory of Open Access Journals (Sweden)

    Paul De Barro

    Full Text Available BACKGROUND: A challenge within the context of cryptic species is the delimitation of individual species within the complex. Statistical parsimony network analytics offers the opportunity to explore limits in situations where there are insufficient species-specific morphological characters to separate taxa. The results also enable us to explore the spread in taxa that have invaded globally. METHODOLOGY/PRINCIPAL FINDINGS: Using a 657 bp portion of mitochondrial cytochrome oxidase 1 from 352 unique haplotypes belonging to the Bemisia tabaci cryptic species complex, the analysis revealed 28 networks plus 7 unconnected individual haplotypes. Of the networks, 24 corresponded to the putative species identified using the rule set devised by Dinsdale et al. (2010. Only two species proposed in Dinsdale et al. (2010 departed substantially from the structure suggested by the analysis. The analysis of the two invasive members of the complex, Mediterranean (MED and Middle East - Asia Minor 1 (MEAM1, showed that in both cases only a small number of haplotypes represent the majority that have spread beyond the home range; one MEAM1 and three MED haplotypes account for >80% of the GenBank records. Israel is a possible source of the globally invasive MEAM1 whereas MED has two possible sources. The first is the eastern Mediterranean which has invaded only the USA, primarily Florida and to a lesser extent California. The second are western Mediterranean haplotypes that have spread to the USA, Asia and South America. The structure for MED supports two home range distributions, a Sub-Saharan range and a Mediterranean range. The MEAM1 network supports the Middle East - Asia Minor region. CONCLUSION/SIGNIFICANCE: The network analyses show a high level of congruence with the species identified in a previous phylogenetic analysis. The analysis of the two globally invasive members of the complex support the view that global invasion often involve very small portions of

  12. Querying Large Biological Network Datasets

    Science.gov (United States)

    Gulsoy, Gunhan

    2013-01-01

    New experimental methods has resulted in increasing amount of genetic interaction data to be generated every day. Biological networks are used to store genetic interaction data gathered. Increasing amount of data available requires fast large scale analysis methods. Therefore, we address the problem of querying large biological network datasets.…

  13. Reproductive biology and genetic diversity of the green turtle (Chelonia mydas) in Vamizi island, Mozambique.

    Science.gov (United States)

    Anastácio, Rita; Santos, Camila; Lopes, Cardoso; Moreira, Helena; Souto, Luis; Ferrão, Jorge; Garnier, Julie; Pereira, Mário J

    2014-01-01

    Vamizi, an Island located in the Western Indian Ocean, is visited by a small and not fully characterized green turtle (Chelonia mydas (L.)) population. This population is threatened by natural hazards and several human activities, which are used to identify conservation priorities for marine turtles. It was our aim to contribute to the knowledge of marine turtles that nest in Vamizi, with respect to its regional management, and to an area that may possibly be included on the UNESCO World Heritage List due to its potential Outstanding Universal Value. Here, we evaluate the nesting parameters (incubation period, clutch size, hatching and emergence successes rates) and patterns over an 8-year (2003 - 2010) conservation program. We also present the results of genetic diversity based on the analysis of approximately an 850 pb fragment of the mitochondrial DNA control region. We found that Vamizi beaches host a small number of nesting females, approximately 52 per year, but these have shown a reduction in their length. High hatching success (88.5 ± SD 17.2%, N = 649), emergence success rates (84.5 ± SD 20.4%, N = 649) were observed, and genetic diversity (N = 135), with 11 haplotypes found (7 new). It was also observed, in the later years of this study, a reduction in the incubation period, a dislocation of the nesting peak activity and an increase in the number of flooded nests and an increase of the number of nests in areas with lower human activity. Some resilience and behavioral plasticity seems to occur regarding human territory occupancy and climate changes. However, regardless of the results, aspects like what seems to be the reduction of some cohorts, the number of flooded nests and the diminishing of the incubation period (East and South facing beaches), show that conservation efforts have to be improved.

  14. Phylogenetics and genetic diversity of the Cotesia flavipes complex of parasitoid wasps (Hymenoptera: Braconidae), biological control agents of lepidopteran stemborers.

    Science.gov (United States)

    Muirhead, Kate A; Murphy, Nicholas P; Sallam, Nader; Donnellan, Stephen C; Austin, Andrew D

    2012-06-01

    The Cotesia flavipes complex of parasitoid wasps (Hymenoptera: Braconidae) are economically important for the biological control of lepidopteran stemboring pests associated with gramineous crops. Some members of the complex successfully parasitize numerous stemborer pest species, however certain geographic populations have demonstrated variation in the range of hosts that they parasitize. In addition, the morphology of the complex is highly conserved and considerable confusion surrounds the identity of species and host-associated biotypes. We generated nucleotide sequence data for two mtDNA genes (COI, 16S) and three anonymous nuclear loci (CfBN, CfCN, CfEN) for the C. flavipes complex. To analyze genetic variation and relationships among populations we used (1) concatenated mtDNA and nDNA data, (2) a nDNA multilocus network approach, and (3) two species tree inference methods, i.e. Bayesian estimation of species trees (BEST) and Bayesian inference of species trees from multilocus data with (*)BEAST. All phylogenetic analyses provide strong support for monophyly of the complex and the presence of at least four species, C. chilonis (from China and Japan), C. sesamiae (from Africa), C. flavipes (originating from the Indo-Asia region but introduced into Africa and the New World), and C. nonagriae (from Australia and Papua New Guinea). Haplotype diversity of geographic populations relates to historical biogeographic barriers and biological control introductions, and reflects previous reports of ecological variation in these species. Strong discordance was found between the mitochondrial and nuclear markers in the Papua New Guinea haplotypes, which may be an outcome of hybridization and introgression of C. flavipes and C. nonagriae. The position of Cotesia flavipes from Japan was not well supported in any analysis and was the sister taxon to C. nonagriae (mtDNA, (*)BEAST), C. flavipes (nDNA) or C. flavipes+C. nonagriae (BEST) and, may represent a cryptic species. The

  15. A Review of Pathway-Based Analysis Tools That Visualize Genetic Variants

    Directory of Open Access Journals (Sweden)

    Elisa Cirillo

    2017-11-01

    Full Text Available Pathway analysis is a powerful method for data analysis in genomics, most often applied to gene expression analysis. It is also promising for single-nucleotide polymorphism (SNP data analysis, such as genome-wide association study data, because it allows the interpretation of variants with respect to the biological processes in which the affected genes and proteins are involved. Such analyses support an interactive evaluation of the possible effects of variations on function, regulation or interaction of gene products. Current pathway analysis software often does not support data visualization of variants in pathways as an alternate method to interpret genetic association results, and specific statistical methods for pathway analysis of SNP data are not combined with these visualization features. In this review, we first describe the visualization options of the tools that were identified by a literature review, in order to provide insight for improvements in this developing field. Tool evaluation was performed using a computational epistatic dataset of gene–gene interactions for obesity risk. Next, we report the necessity to include in these tools statistical methods designed for the pathway-based analysis with SNP data, expressly aiming to define features for more comprehensive pathway-based analysis tools. We conclude by recognizing that pathway analysis of genetic variations data requires a sophisticated combination of the most useful and informative visual aspects of the various tools evaluated.

  16. Genetic and familial environmental effects on suicide attempts: a study of Danish adoptees and their biological and adoptive siblings.

    Science.gov (United States)

    Petersen, Liselotte; Sørensen, Thorkild I A; Kragh Andersen, Per; Mortensen, Preben Bo; Hawton, Keith

    2014-02-01

    Genetic factors have been found to influence the risk of suicide. It is less clear if this also applies to attempted suicide. We have investigated genetic and familial environmental factors by studying the occurrence of suicide attempts in biological and adoptive siblings of adoptees who attempted suicide compared to siblings of adoptees with no suicide attempts. We used a random sample of 1933 adoptees from the Danish Adoption Register, a register of non-familial adoptions of Danish children, i.e. the adoptive parents are biologically unrelated to the adoptee. Analyses were conducted on incidence rates of attempted suicide in biological and adoptive siblings given occurrence of attempted suicide in the adoptees while also taking into account psychiatric disorders. Information about suicidal attempt and history of psychiatric disorder was based on hospital admissions. The rate of attempted suicide in full siblings of adoptees who attempted suicide before age 60 years was higher than in full siblings of adoptees who had not attempted suicide (incidence rate ratios (IRR)=3.45; 95% confidence interval [CI]=0.94-12.7). After adjustment for history of psychiatric admission of siblings the increased rate was statistically significant (IRR=3.88; 95% CI-1.42-10.6). Information on attempted suicide and psychiatric history was limited to that which involved hospitalisation. Genetic factors influence risk of suicide attempts. © 2013 Published by Elsevier B.V.

  17. Population biology of establishment in New Zealand hedgehogs inferred from genetic and historical data: conflict or compromise?

    Science.gov (United States)

    Bolfíková, Barbora; Konečný, Adam; Pfäffle, Miriam; Skuballa, Jasmin; Hulva, Pavel

    2013-07-01

    The crucial steps in biological invasions, related to the shaping of genetic architecture and the current evolution of adaptations to a novel environment, usually occur in small populations during the phases of introduction and establishment. However, these processes are difficult to track in nature due to invasion lag, large geographic and temporal scales compared with human observation capabilities, the frequent depletion of genetic variance, admixture and other phenomena. In this study, we compared genetic and historical evidence related to the invasion of the West European hedgehog to New Zealand to infer details about the introduction and establishment. Historical information indicates that the species was initially established on the South Island. A molecular assay of populations from Great Britain and New Zealand using mitochondrial sequences and nuclear microsatellite loci was performed based on a set of analyses including approximate Bayesian computation, a powerful approach for disentangling complex population demographies. According to these analyses, the population of the North Island was most similar to that of the native area and showed greatest reduction in genetic variation caused by founder demography and/or drift. This evidence indicated the location of the establishment phase. The hypothesis was corroborated by data on climate and urbanization. We discuss the contrasting results obtained by the molecular and historical approaches in the light of their different explanatory power and the possible biases influencing the description of particular aspects of invasions, and we advocate the integration of the two types of approaches in invasion biology. © 2013 John Wiley & Sons Ltd.

  18. Systematic documentation and analysis of human genetic variation using the microattribution approach

    Science.gov (United States)

    Giardine, Belinda; Borg, Joseph; Higgs, Douglas R.; Peterson, Kenneth R.; Maglott, Donna; Basak, A. Nazli; Clark, Barnaby; Faustino, Paula; Felice, Alex E.; Francina, Alain; Gallivan, Monica V. E.; Georgitsi, Marianthi; Gibbons, Richard J.; Giordano, Piero C.; Harteveld, Cornelis L.; Joly, Philippe; Kanavakis, Emmanuel; Kollia, Panagoula; Menzel, Stephan; Miller, Webb; Moradkhani, Kamran; Old, John; Papachatzopoulou, Adamantia; Papadakis, Manoussos N.; Papadopoulos, Petros; Pavlovic, Sonja; Philipsen, Sjaak; Radmilovic, Milena; Riemer, Cathy; Schrijver, Iris; Stojiljkovic, Maja; Thein, Swee Lay; Traeger-Synodinos, Jan; Tully, Ray; Wada, Takahito; Waye, John; Wiemann, Claudia; Zukic, Branka; Chui, David H. K.; Wajcman, Henri; Hardison, Ross C.; Patrinos, George P.

    2013-01-01

    We developed a series of interrelated locus-specific databases to store all published and unpublished genetic variation related to these disorders, and then implemented microattribution to encourage submission of unpublished observations of genetic variation to these public repositories 1. A total of 1,941 unique genetic variants in 37 genes, encoding globins (HBA2, HBA1, HBG2, HBG1, HBD, HBB) and other erythroid proteins (ALOX5AP, AQP9, ARG2, ASS1, ATRX, BCL11A, CNTNAP2, CSNK2A1, EPAS1, ERCC2, FLT1, GATA1, GPM6B, HAO2, HBS1L, KDR, KL, KLF1, MAP2K1, MAP3K5, MAP3K7, MYB, NOS1, NOS2, NOS3, NOX3, NUP133, PDE7B, SMAD3, SMAD6, and TOX) are currently documented in these databases with reciprocal attribution of microcitations to data contributors. Our project provides the first example of implementing microattribution to incentivise submission of all known genetic variation in a defined system. It has demonstrably increased the reporting of human variants and now provides a comprehensive online resource for systematically describing human genetic variation in the globin genes and other genes contributing to hemoglobinopathies and thalassemias. The large repository of previously reported data, together with more recent data, acquired by microattribution, demonstrates how the comprehensive documentation of human variation will provide key insights into normal biological processes and how these are perturbed in human genetic disease. Using the microattribution process set out here, datasets which took decades to accumulate for the globin genes could be assembled rapidly for other genes and disease systems. The principles established here for the globin gene system will serve as a model for other systems and the analysis of other common and/or complex human genetic diseases. PMID:21423179

  19. Demographic history and biologically relevant genetic variation of Native Mexicans inferred from whole-genome sequencing

    OpenAIRE

    Romero-Hidalgo, Sandra; Ochoa-Leyva, Adrián; Garcíarrubio, Alejandro; Acuña-Alonzo, Victor; Antúnez-Argüelles, Erika; Balcazar-Quintero, Martha; Barquera-Lozano, Rodrigo; Carnevale, Alessandra; Cornejo-Granados, Fernanda; Fernández-López, Juan Carlos; García-Herrera, Rodrigo; García-Ortíz, Humberto; Granados-Silvestre, Ángeles; Granados, Julio; Guerrero-Romero, Fernando

    2017-01-01

    Understanding the genetic structure of Native American populations is important to clarify their diversity, demographic history, and to identify genetic factors relevant for biomedical traits. Here, we show a demographic history reconstruction from 12 Native American whole genomes belonging to six distinct ethnic groups representing the three main described genetic clusters of Mexico (Northern, Southern, and Maya). Effective population size estimates of all Native American groups remained bel...

  20. Teaching Biology through Statistics: Application of Statistical Methods in Genetics and Zoology Courses

    Science.gov (United States)

    Colon-Berlingeri, Migdalisel; Burrowes, Patricia A.

    2011-01-01

    Incorporation of mathematics into biology curricula is critical to underscore for undergraduate students the relevance of mathematics to most fields of biology and the usefulness of developing quantitative process skills demanded in modern biology. At our institution, we have made significant changes to better integrate mathematics into the…

  1. Analysis of genetic diversity in Bolivian llama populations using microsatellites.

    Science.gov (United States)

    Barreta, J; Gutiérrez-Gil, B; Iñiguez, V; Romero, F; Saavedra, V; Chiri, R; Rodríguez, T; Arranz, J J

    2013-08-01

    South American camelids (SACs) have a major role in the maintenance and potential future of rural Andean human populations. More than 60% of the 3.7 million llamas living worldwide are found in Bolivia. Due to the lack of studies focusing on genetic diversity in Bolivian llamas, this analysis investigates both the genetic diversity and structure of 12 regional groups of llamas that span the greater part of the range of distribution for this species in Bolivia. The analysis of 42 microsatellite markers in the considered regional groups showed that, in general, there were high levels of polymorphism (a total of 506 detected alleles; average PIC across per marker: 0.66), which are comparable with those reported for other populations of domestic SACs. The estimated diversity parameters indicated that there was high intrapopulational genetic variation (average number of alleles and average expected heterozygosity per marker: 12.04 and 0.68, respectively) and weak genetic differentiation among populations (FST range: 0.003-0.052). In agreement with these estimates, Bolivian llamas showed a weak genetic structure and an intense gene flow between all the studied regional groups, which is due to the exchange of reproductive males between the different flocks. Interestingly, the groups for which the largest pairwise FST estimates were observed, Sud Lípez and Nor Lípez, showed a certain level of genetic differentiation that is probably due to the pattern of geographic isolation and limited communication infrastructures of these southern localities. Overall, the population parameters reported here may serve as a reference when establishing conservation policies that address Bolivian llama populations. © 2012 Blackwell Verlag GmbH.

  2. Charged particle activation analysis of phosphorus in biological materials

    International Nuclear Information System (INIS)

    Masumoto, K.; Yagi, M.

    1983-01-01

    Charged particle activation analysis of phosphorus in biological materials using the 31 P(α,n) sup(34m)Cl reaction has been studied. Since sup(34m)Cl is also produced by the 32 S(α,pn) and the 35 Cl(α,α'n) reactions, the thick-target yield curves on phosphorus, sulfur and chlorine were determined in order to choose the optimum irradiation conditions. As a result, it was found that the activation analysis for phosphorus without interferences from sulfur and chlorine is possible by bombarding with less than 17 MeV alphas. The applicability of this method to biological samples was then examined by irradiating several standard reference materials. It was confirmed that phosphorus can readily be determined at the detection limit of 1μg free from interferences due to the matrix elements. (author)

  3. NeuroChip: a microfluidic electrophysiological device for genetic and chemical biology screening of Caenorhabditis elegans adult and larvae.

    Directory of Open Access Journals (Sweden)

    Chunxiao Hu

    Full Text Available Genetic and chemical biology screens of C. elegans have been of enormous benefit in providing fundamental insight into neural function and neuroactive drugs. Recently the exploitation of microfluidic devices has added greater power to this experimental approach providing more discrete and higher throughput phenotypic analysis of neural systems. Here we make a significant addition to this repertoire through the design of a semi-automated microfluidic device, NeuroChip, which has been optimised for selecting worms based on the electrophysiological features of the pharyngeal neural network. We demonstrate this device has the capability to sort mutant from wild-type worms based on high definition extracellular electrophysiological recordings. NeuroChip resolves discrete differences in excitatory, inhibitory and neuromodulatory components of the neural network from individual animals. Worms may be fed into the device consecutively from a reservoir and recovered unharmed. It combines microfluidics with integrated electrode recording for sequential trapping, restraining, recording, releasing and recovering of C. elegans. Thus mutant worms may be selected, recovered and propagated enabling mutagenesis screens based on an electrophysiological phenotype. Drugs may be rapidly applied during the recording thus permitting compound screening. For toxicology, this analysis can provide a precise description of sub-lethal effects on neural function. The chamber has been modified to accommodate L2 larval stages showing applicability for small size nematodes including parasitic species which otherwise are not tractable to this experimental approach. We also combine NeuroChip with optogenetics for targeted interrogation of the function of the neural circuit. NeuroChip thus adds a new tool for exploitation of C. elegans and has applications in neurogenetics, drug discovery and neurotoxicology.

  4. Multi-element analysis of small biological samples

    International Nuclear Information System (INIS)

    Rokita, E.; Cafmeyer, J.; Maenhaut, W.

    1983-01-01

    A method combining PIXE and INAA was developed to determine the elemental composition of small biological samples. The method needs virtually no sample preparation and less than 1 mg is sufficient for the analysis. The method was used for determining up to 18 elements in leaves taken from Cracow Herbaceous. The factors which influence the elemental composition of leaves and the possible use of leaves as an environmental pollution indicator are discussed

  5. [Progress on Determination and Analysis of Zopiclone in Biological Samples].

    Science.gov (United States)

    Shu, C X; Gong, D; Zhang, L P; Zhao, J X

    2017-12-01

    As a new hypnotic, zopiclone is widely used in clinical treatment. There are many methods for determination of zopiclone, including spectrophotometry, chromatography and chromatography mass spectrum, etc. Present paper reviews different kinds of biological samples associated with zopiclone, extraction and purification methods, and determination and analysis methods, which aims to provide references for the relevant research and practice. Copyright© by the Editorial Department of Journal of Forensic Medicine.

  6. Analysis of complex networks from biology to linguistics

    CERN Document Server

    Dehmer, Matthias

    2009-01-01

    Mathematical problems such as graph theory problems are of increasing importance for the analysis of modelling data in biomedical research such as in systems biology, neuronal network modelling etc. This book follows a new approach of including graph theory from a mathematical perspective with specific applications of graph theory in biomedical and computational sciences. The book is written by renowned experts in the field and offers valuable background information for a wide audience.

  7. Toxicological Analysis of Some Drugs of Abuse in Biological Samples

    OpenAIRE

    Anne Marie Ciobanu; Daniela Baconi; Cristian Bălălău; Carolina Negrei; Miriana Stan; Maria Bârcă

    2015-01-01

    Consumption of drugs of abuse is a scourge of modern world. Abuse, drug addiction and their consequences are one of the major current problems of European society because of the significant repercussions in individual, family, social and economic level. In this context, toxicological analysis of the drugs of abuse in biological samples is a useful tool for: diagnosis of drug addiction, checking an auto-response, mandatory screening in some treatment programs, identification of a substance ...

  8. A markerless protocol for genetic analysis of Aggregatibacter actinomycetemcomitans

    Science.gov (United States)

    Cheng, Ya-An; Jee, Jason; Hsu, Genie; Huang, Yanyan; Chen, Casey; Lin, Chun-Pin

    2015-01-01

    Background/Purpose The genomes of different Aggregatibacter actinomycetemcomitans strains contain many strain-specific genes and genomic islands (defined as DNA found in some but not all strains) of unknown functions. Genetic analysis for the functions of these islands will be constrained by the limited availability of genetic markers and vectors for A. actinomycetemcomitans. In this study we tested a novel genetic approach of gene deletion and restoration in a naturally competent A. actinomycetemcomitans strain D7S-1. Methods Specific genes’ deletion mutants and mutants restored with the deleted genes were constructed by a markerless loxP/Cre system. In mutants with sequential deletion of multiple genes loxP with different spacer regions were used to avoid unwanted recombinations between loxP sites. Results Eight single-gene deletion mutants, four multiple-gene deletion mutants, and two mutants with restored genes were constructed. No unintended non-specific deletion mutants were generated by this protocol. The protocol did not negatively affect the growth and biofilm formation of A. actinomycetemcomitans. Conclusion The protocol described in this study is efficient and specific for genetic manipulation of A. actinomycetemcomitans, and will be amenable for functional analysis of multiple genes in A. actinomycetemcomitans. PMID:24530245

  9. A Genetic Epidemiological Mega Analysis of Smoking Initiation in Adolescents.

    Science.gov (United States)

    Maes, Hermine H; Prom-Wormley, Elizabeth; Eaves, Lindon J; Rhee, Soo Hyun; Hewitt, John K; Young, Susan; Corley, Robin; McGue, Matt; Iacono, William G; Legrand, Lisa; Samek, Diana R; Murrelle, E Lenn; Silberg, Judy L; Miles, Donna R; Schieken, Richard M; Beunen, Gaston P; Thomis, Martine; Rose, Richard J; Dick, Danielle M; Boomsma, Dorret I; Bartels, Meike; Vink, Jacqueline M; Lichtenstein, Paul; White, Victoria; Kaprio, Jaakko; Neale, Michael C

    2017-04-01

    Previous studies in adolescents were not adequately powered to accurately disentangle genetic and environmental influences on smoking initiation (SI) across adolescence. Mega-analysis of pooled genetically informative data on SI was performed, with structural equation modeling, to test equality of prevalence and correlations across cultural backgrounds, and to estimate the significance and effect size of genetic and environmental effects according to the classical twin study, in adolescent male and female twins from same-sex and opposite-sex twin pairs (N = 19 313 pairs) between ages 10 and 19, with 76 358 longitudinal assessments between 1983 and 2007, from 11 population-based twin samples from the United States, Europe, and Australia. Although prevalences differed between samples, twin correlations did not, suggesting similar etiology of SI across developed countries. The estimate of additive genetic contributions to liability of SI increased from approximately 15% to 45% from ages 13 to 19. Correspondingly, shared environmental factors accounted for a substantial proportion of variance in liability to SI at age 13 (70%) and gradually less by age 19 (40%). Both additive genetic and shared environmental factors significantly contribute to variance in SI throughout adolescence. The present study, the largest genetic epidemiological study on SI to date, found consistent results across 11 studies for the etiology of SI. Environmental factors, especially those shared by siblings in a family, primarily influence SI variance in early adolescence, while an increasing role of genetic factors is seen at later ages, which has important implications for prevention strategies. This is the first study to find evidence of genetic factors in liability to SI at ages as young as 12. It also shows the strongest evidence to date for decay of effects of the shared environment from early adolescence to young adulthood. We found remarkable consistency of twin correlations across

  10. Education Policy and Biological Science: Genetics, Eugenics, and the College Textbook, c. 1908-1931.

    Science.gov (United States)

    Selden, Steven

    1985-01-01

    A revolution in genetics is occurring, but when looking ahead, we must not romanticize the past. The social history of genetics, and American education's association with eugenics, make it necessary that we understand that both education and science are informed by social attitudes. (MT)

  11. Methods in Molecular Biology Mouse Genetics: Methods and Protocols | Center for Cancer Research

    Science.gov (United States)

    Mouse Genetics: Methods and Protocols provides selected mouse genetic techniques and their application in modeling varieties of human diseases. The chapters are mainly focused on the generation of different transgenic mice to accomplish the manipulation of genes of interest, tracing cell lineages, and modeling human diseases.

  12. Genetic variation and DNA markers in forensic analysis

    African Journals Online (AJOL)

    SAM

    2014-07-30

    Jul 30, 2014 ... Author(s) agree that this article remain permanently open access under the terms of the Creative Commons Attribution License. 4.0 International ... (mtDNA) is today a routine method of analysis of biological ... A promising approach in this context seems to be .... 1985; Armour et al., 1996). ...... management.

  13. Unveiling an ancient biological invasion: molecular analysis of an old European alien, the crested porcupine (Hystrix cristata

    Directory of Open Access Journals (Sweden)

    Sbordoni Valerio

    2009-05-01

    Full Text Available Abstract Background Biological invasions can be considered one of the main threats to biodiversity, and the recognition of common ecological and evolutionary features among invaders can help developing a predictive framework to control further invasions. In particular, the analysis of successful invasive species and of their autochthonous source populations by means of genetic, phylogeographic and demographic tools can provide novel insights into the study of biological invasion patterns. Today, long-term dynamics of biological invasions are still poorly understood and need further investigations. Moreover, distribution and molecular data on native populations could contribute to the recognition of common evolutionary features of successful aliens. Results We analyzed 2,195 mitochondrial base pairs, including Cytochrome b, Control Region and rRNA 12S, in 161 Italian and 27 African specimens and assessed the ancient invasive origin of Italian crested porcupine (Hystrix cristata populations from Tunisia. Molecular coalescent-based Bayesian analyses proposed the Roman Age as a putative timeframe of introduction and suggested a retention of genetic diversity during the early phases of colonization. The characterization of the native African genetic background revealed the existence of two differentiated clades: a Mediterranean group and a Sub-Saharan one. Both standard population genetic and advanced molecular demography tools (Bayesian Skyline Plot did not evidence a clear genetic signature of the expected increase in population size after introduction. Along with the genetic diversity retention during the bottlenecked steps of introduction, this finding could be better described by hypothesizing a multi-invasion event. Conclusion Evidences of the ancient anthropogenic invasive origin of the Italian Hystrix cristata populations were clearly shown and the native African genetic background was preliminary described. A more complex pattern than a

  14. Unveiling an ancient biological invasion: molecular analysis of an old European alien, the crested porcupine (Hystrix cristata).

    Science.gov (United States)

    Trucchi, Emiliano; Sbordoni, Valerio

    2009-05-18

    Biological invasions can be considered one of the main threats to biodiversity, and the recognition of common ecological and evolutionary features among invaders can help developing a predictive framework to control further invasions. In particular, the analysis of successful invasive species and of their autochthonous source populations by means of genetic, phylogeographic and demographic tools can provide novel insights into the study of biological invasion patterns. Today, long-term dynamics of biological invasions are still poorly understood and need further investigations. Moreover, distribution and molecular data on native populations could contribute to the recognition of common evolutionary features of successful aliens. We analyzed 2,195 mitochondrial base pairs, including Cytochrome b, Control Region and rRNA 12S, in 161 Italian and 27 African specimens and assessed the ancient invasive origin of Italian crested porcupine (Hystrix cristata) populations from Tunisia. Molecular coalescent-based Bayesian analyses proposed the Roman Age as a putative timeframe of introduction and suggested a retention of genetic diversity during the early phases of colonization. The characterization of the native African genetic background revealed the existence of two differentiated clades: a Mediterranean group and a Sub-Saharan one. Both standard population genetic and advanced molecular demography tools (Bayesian Skyline Plot) did not evidence a clear genetic signature of the expected increase in population size after introduction. Along with the genetic diversity retention during the bottlenecked steps of introduction, this finding could be better described by hypothesizing a multi-invasion event. Evidences of the ancient anthropogenic invasive origin of the Italian Hystrix cristata populations were clearly shown and the native African genetic background was preliminary described. A more complex pattern than a simple demographic exponential growth from a single propagule

  15. Pitfalls in genetic analysis of pheochromocytomas/paragangliomas-case report.

    Science.gov (United States)

    Canu, Letizia; Rapizzi, Elena; Zampetti, Benedetta; Fucci, Rossella; Nesi, Gabriella; Richter, Susan; Qin, Nan; Giachè, Valentino; Bergamini, Carlo; Parenti, Gabriele; Valeri, Andrea; Ercolino, Tonino; Eisenhofer, Graeme; Mannelli, Massimo

    2014-07-01

    About 35% of patients with pheochromocytoma/paraganglioma carry a germline mutation in one of the 10 main susceptibility genes. The recent introduction of next-generation sequencing will allow the analysis of all these genes in one run. When positive, the analysis is generally unequivocal due to the association between a germline mutation and a concordant clinical presentation or positive family history. When genetic analysis reveals a novel mutation with no clinical correlates, particularly in the presence of a missense variant, the question arises whether the mutation is pathogenic or a rare polymorphism. We report the case of a 35-year-old patient operated for a pheochromocytoma who turned out to be a carrier of a novel SDHD (succinate dehydrogenase subunit D) missense mutation. With no positive family history or clinical correlates, we decided to perform additional analyses to test the clinical significance of the mutation. We performed in silico analysis, tissue loss of heterozygosity analysis, immunohistochemistry, Western blot analysis, SDH enzymatic assay, and measurement of the succinate/fumarate concentration ratio in the tumor tissue by tandem mass spectrometry. Although the in silico analysis gave contradictory results according to the different methods, all the other tests demonstrated that the SDH complex was conserved and normally active. We therefore came to the conclusion that the variant was a nonpathogenic polymorphism. Advancements in technology facilitate genetic analysis of patients with pheochromocytoma but also offer new challenges to the clinician who, in some cases, needs clinical correlates and/or functional tests to give significance to the results of the genetic assay.

  16. Network Analysis Tools: from biological networks to clusters and pathways.

    Science.gov (United States)

    Brohée, Sylvain; Faust, Karoline; Lima-Mendez, Gipsi; Vanderstocken, Gilles; van Helden, Jacques

    2008-01-01

    Network Analysis Tools (NeAT) is a suite of computer tools that integrate various algorithms for the analysis of biological networks: comparison between graphs, between clusters, or between graphs and clusters; network randomization; analysis of degree distribution; network-based clustering and path finding. The tools are interconnected to enable a stepwise analysis of the network through a complete analytical workflow. In this protocol, we present a typical case of utilization, where the tasks above are combined to decipher a protein-protein interaction network retrieved from the STRING database. The results returned by NeAT are typically subnetworks, networks enriched with additional information (i.e., clusters or paths) or tables displaying statistics. Typical networks comprising several thousands of nodes and arcs can be analyzed within a few minutes. The complete protocol can be read and executed in approximately 1 h.

  17. Micro and nano-platforms for biological cell analysis

    DEFF Research Database (Denmark)

    Svendsen, Winnie Edith; Castillo, Jaime; Moresco, Jacob Lange

    2011-01-01

    In this paper some technological platforms developed for biological cell analysis will be presented and compared to existing systems. In brief, we present a novel micro cell culture chamber based on diffusion feeding of cells, into which cells can be introduced and extracted after culturing using...... from the cells, while passive modifications involve the presence of a peptide nanotube based scaffold for the cell culturing that mimics the in vivo environment. Two applications involving fluorescent in situ hybridization (FISH) analysis and cancer cell sorting are presented, as examples of further...... analysis that can be done after cell culturing. A platform able to automate the entire process from cell culturing to cell analysis by means of simple plug and play of various self-contained, individually fabricated modules is finally described....

  18. [Analysis on property of meridian supramolecules by biological evolution path].

    Science.gov (United States)

    Deng, Kaiwen; Tao, Yeqin; Tang, Wenhan; He, Fuyuan; Liu, Wenlong; Shi, Jilian; Yang, Yantao; Zhou, Yiqun; Chang, Xiaorong

    2017-03-12

    With human placed in the whole nature, by following the biologic evolution path, the property of channel structure for "imprinting template" in meridian and zang-fu was explored with supramolecular chemistry. In the history of biologic evolution, each molecule in "molecule society" gradually developed into various highly-ordered supramolecular bodies based on self-identification, self-assembly, self-organization, self-replicating of"imprinting template", and thereby the original biochemical system was established, and finally evolved into human. In the forming process of supramolecular bodies, the channel structure of"imprinting template" in guest supramolecular bodies would be kept by host supramolecular bodies, and communicate with the outside to exchange materials, energy, information, otherwise life phenomenon could not continue, for which it was the chemical nature of biolo-gical supramolecular bodies for body to develop meridian. Therefore, the human was a gigantic and complicated supramolecules body in biological nature, and possessed the supramolecules "imprinting template" at each stage of evolution, for which the meridians were formed. When meridians converged, acupoints appeared; when acupointsconverged, zang-fu appeared. With the promotion of the blood from heart, according to"imprinting template", the guest supramolecular bodies and host meridian produced qi -analysis, which was the qi -phenomenon of guest in meridian. It presented as zang-fu image of physiology and pathology as well as action regularities of medication and acupuncture tolerance, by which current various meridian viewpoints could be explained and propose the hypothesis of meridian supramolecular bodies. The meridian and its phenomenon was decide by its "imprinting template" of supramolecular bodies and self-reaction regularities, which abided through the living nature. This was the substance for meridian biology.

  19. Multiway modeling and analysis in stem cell systems biology

    Directory of Open Access Journals (Sweden)

    Vandenberg Scott L

    2008-07-01

    Full Text Available Abstract Background Systems biology refers to multidisciplinary approaches designed to uncover emergent properties of biological systems. Stem cells are an attractive target for this analysis, due to their broad therapeutic potential. A central theme of systems biology is the use of computational modeling to reconstruct complex systems from a wealth of reductionist, molecular data (e.g., gene/protein expression, signal transduction activity, metabolic activity, etc.. A number of deterministic, probabilistic, and statistical learning models are used to understand sophisticated cellular behaviors such as protein expression during cellular differentiation and the activity of signaling networks. However, many of these models are bimodal i.e., they only consider row-column relationships. In contrast, multiway modeling techniques (also known as tensor models can analyze multimodal data, which capture much more information about complex behaviors such as cell differentiation. In particular, tensors can be very powerful tools for modeling the dynamic activity of biological networks over time. Here, we review the application of systems biology to stem cells and illustrate application of tensor analysis to model collagen-induced osteogenic differentiation of human mesenchymal stem cells. Results We applied Tucker1, Tucker3, and Parallel Factor Analysis (PARAFAC models to identify protein/gene expression patterns during extracellular matrix-induced osteogenic differentiation of human mesenchymal stem cells. In one case, we organized our data into a tensor of type protein/gene locus link × gene ontology category × osteogenic stimulant, and found that our cells expressed two distinct, stimulus-dependent sets of functionally related genes as they underwent osteogenic differentiation. In a second case, we organized DNA microarray data in a three-way tensor of gene IDs × osteogenic stimulus × replicates, and found that application of tensile strain to a

  20. Gene ontology analysis of pairwise genetic associations in two genome-wide studies of sporadic ALS

    Directory of Open Access Journals (Sweden)

    Kim Nora

    2012-07-01

    Full Text Available Abstract Background It is increasingly clear that common human diseases have a complex genetic architecture characterized by both additive and nonadditive genetic effects. The goal of the present study was to determine whether patterns of both additive and nonadditive genetic associations aggregate in specific functional groups as defined by the Gene Ontology (GO. Results We first estimated all pairwise additive and nonadditive genetic effects using the multifactor dimensionality reduction (MDR method that makes few assumptions about the underlying genetic model. Statistical significance was evaluated using permutation testing in two genome-wide association studies of ALS. The detection data consisted of 276 subjects with ALS and 271 healthy controls while the replication data consisted of 221 subjects with ALS and 211 healthy controls. Both studies included genotypes from approximately 550,000 single-nucleotide polymorphisms (SNPs. Each SNP was mapped to a gene if it was within 500 kb of the start or end. Each SNP was assigned a p-value based on its strongest joint effect with the other SNPs. We then used the Exploratory Visual Analysis (EVA method and software to assign a p-value to each gene based on the overabundance of significant SNPs at the α = 0.05 level in the gene. We also used EVA to assign p-values to each GO group based on the overabundance of significant genes at the α = 0.05 level. A GO category was determined to replicate if that category was significant at the α = 0.05 level in both studies. We found two GO categories that replicated in both studies. The first, ‘Regulation of Cellular Component Organization and Biogenesis’, a GO Biological Process, had p-values of 0.010 and 0.014 in the detection and replication studies, respectively. The second, ‘Actin Cytoskeleton’, a GO Cellular Component, had p-values of 0.040 and 0.046 in the detection and replication studies, respectively. Conclusions Pathway

  1. Biological dosimetry of ionizing radiation by chromosomal aberration analysis

    International Nuclear Information System (INIS)

    Gonzalez-Castano, S.; Silva, A.; Navlet, J.

    1990-01-01

    Biological dosimetry consists of estimating absorbed doses for people exposed to radiation by mean biological methods. Several indicators used are based in haematological, biochemical, and cytogenetic data, although nowadays without doubt, the cytogenetic method is considered to be the most reliable. In this case, the study ol chromosomal aberrations, normally dicentric chromosomes, in peripheral lymphocytes can be related to absorbed dose through an experimental calibration curve. An experimental dose-response curve, using dicentric chromosomes analysis, X-rays at 300 kVp, 114 rad/min and temperature 37 degree celsius has been produced. Experimental data is fitted to model Y =α + β 1 D + β 2 D 2 , where Y is the number of dicentrics per cell and D the dose. The curve is compared with those produced elsewhere. (Author) 14 refs

  2. Biological dosimetry of ionizing radiation by chromosomal aberration analysis

    International Nuclear Information System (INIS)

    Navlet Armenta, J.M.; Gonzalez, S.; Silva, A.

    1990-01-01

    Biological dosimetry consists of estimating absorbed doses for people exposed to radiation by mean biological methods. Several indicators used are based in haemathological, biochemical, and cytogenetic data, although nowadays without doubt, the cytogenetic method is considered to be the most reliable. In this case, the study of chromosomal aberrations, normally dicentric chromosomes, in peripheral lymphocytes can be related to absorbed dose through an experimental calibration curve. An experimental dose-response curve using dicentric chromosomes analysis, X-rays at 300 kVp, 114 rad/min and temperature 37 o C has been produced. Experimental data is fitted to model Y = α+β 1 D+β 2 D 2 , where Y is the number of dicentrics per cell and D the dose. The curve is compared with those produced elsewhere. (Author)

  3. Differential network analysis reveals genetic effects on catalepsy modules.

    Directory of Open Access Journals (Sweden)

    Ovidiu D Iancu

    Full Text Available We performed short-term bi-directional selective breeding for haloperidol-induced catalepsy, starting from three mouse populations of increasingly complex genetic structure: an F2 intercross, a heterogeneous stock (HS formed by crossing four inbred strains (HS4 and a heterogeneous stock (HS-CC formed from the inbred strain founders of the Collaborative Cross (CC. All three selections were successful, with large differences in haloperidol response emerging within three generations. Using a custom differential network analysis procedure, we found that gene coexpression patterns changed significantly; importantly, a number of these changes were concordant across genetic backgrounds. In contrast, absolute gene-expression changes were modest and not concordant across genetic backgrounds, in spite of the large and similar phenotypic differences. By inferring strain contributions from the parental lines, we are able to identify significant differences in allelic content between the selected lines concurrent with large changes in transcript connectivity. Importantly, this observation implies that genetic polymorphisms can affect transcript and module connectivity without large changes in absolute expression levels. We conclude that, in this case, selective breeding acts at the subnetwork level, with the same modules but not the same transcripts affected across the three selections.

  4. Genetic analysis of growth traits in Iranian Makuie sheep breed

    Directory of Open Access Journals (Sweden)

    Mohammad Farhadian

    2012-01-01

    Full Text Available The Makuie sheep is a fat-tailed sheep breed which can be found in the Azerbaijan province of Iran. In 1986, a Makuie sheep breeding station was established in the city of Maku in order to breed, protect and purify this breed. The genetic parameters for birth weight, weaning weight (3 months, 6-month, 9-month and yearling weight, and average daily gain from birth to weaning traits were estimated based on 25 years of data using DFREML software. Six different models were applied and a likelihood ratio test (LRT was used to select the appropriate model. Bivariate analysis was used to define the genetic correlation between studied traits. Based on the LRT, model II was selected as an appropriate model for all studied traits. Direct heritability estimates of birth, weaning, 6-month, 9-month and yearling weights and average daily gain from birth to weaning were 0.36, 0.41, 0.48, 0.42, 0.36 and 0.37, respectively. Estimates of direct genetic correlation between birth and weaning weights, birth and 6-month weights, birth and 9-month weights, as well as between birth and yearling weights were 0.57, 0.49, 0.46 and 0.32, respectively. The results suggest there is a substantial additive genetic variability for studied traits in the Makuie sheep breed population, and the direct additive effect and maternal permanent environment variance are the main source of phenotypic variance.

  5. Views of female breast cancer patients who donated biologic samples regarding storage and use of samples for genetic research.

    Science.gov (United States)

    Kaphingst, K A; Janoff, J M; Harris, L N; Emmons, K M

    2006-05-01

    Although social and ethical issues related to the storage and use of biologic specimens for genetic research have been discussed extensively in the medical literature, few empiric data exist describing patients' views. This qualitative study explored the views of 26 female breast cancer patients who had consented to donate blood or tissue samples for breast cancer research. Participants generally did not expect personal benefits from research and had few unprompted concerns. Few participants had concerns about use of samples for studies not planned at the time of consent. Some participants did express concerns about insurance or employment discrimination, while others believed that current privacy protections might actually slow breast cancer research. Participants were generally more interested in receiving individual genetic test results from research studies than aggregate results. Most participants did not want individual results of uncertain clinical significance, although others believed that they should be able to receive such information. These data examined the range of participants' views regarding the storage and use of biologic samples. Further research with different and diverse patient populations is critical to establishing an appropriate balance between protecting the rights of human subjects in genetic research and allowing research to progress.

  6. Transcriptome-guided amyloid imaging genetic analysis via a novel structured sparse learning algorithm.

    Science.gov (United States)

    Yan, Jingwen; Du, Lei; Kim, Sungeun; Risacher, Shannon L; Huang, Heng; Moore, Jason H; Saykin, Andrew J; Shen, Li

    2014-09-01

    Imaging genetics is an emerging field that studies the influence of genetic variation on brain structure and function. The major task is to examine the association between genetic markers such as single-nucleotide polymorphisms (SNPs) and quantitative traits (QTs) extracted from neuroimaging data. The complexity of these datasets has presented critical bioinformatics challenges that require new enabling tools. Sparse canonical correlation analysis (SCCA) is a bi-multivariate technique used in imaging genetics to identify complex multi-SNP-multi-QT associations. However, most of the existing SCCA algorithms are designed using the soft thresholding method, which assumes that the input features are independent from one another. This assumption clearly does not hold for the imaging genetic data. In this article, we propose a new knowledge-guided SCCA algorithm (KG-SCCA) to overcome this limitation as well as improve learning results by incorporating valuable prior knowledge. The proposed KG-SCCA method is able to model two types of prior knowledge: one as a group structure (e.g. linkage disequilibrium blocks among SNPs) and the other as a network structure (e.g. gene co-expression network among brain regions). The new model incorporates these prior structures by introducing new regularization terms to encourage weight similarity between grouped or connected features. A new algorithm is designed to solve the KG-SCCA model without imposing the independence constraint on the input features. We demonstrate the effectiveness of our algorithm with both synthetic and real data. For real data, using an Alzheimer's disease (AD) cohort, we examine the imaging genetic associations between all SNPs in the APOE gene (i.e. top AD gene) and amyloid deposition measures among cortical regions (i.e. a major AD hallmark). In comparison with a widely used SCCA implementation, our KG-SCCA algorithm produces not only improved cross-validation performances but also biologically meaningful

  7. Multielement analysis of biological standards by neutron activation analysis

    International Nuclear Information System (INIS)

    Nadkarni, R.A.

    1977-01-01

    Up to 28 elements were determined in two IAEA standards: Animal Muscle H4 and Fish Soluble A 6/74, and three NBS standards: Spinach: SRM-1570, Tomato Leaves: SRM-1573 and Pine Needles: SRM-1575 by instrumental neutron-activation analysis. Seven noble metals were determined in two NBS standards: Coal: SRM-1632 and Coal Fly Ash: SRM-1633 by radiochemical procedure while 11 rare earth elements were determined in NBS standard Orchard Leaves: SRM-1571 by instrumental neutron-activation analysis. The results are in good agreement with the certified and/or literature data where available. The irradiations were performed at the Cornell TRIGA Mark II nuclear reactor at a thermal neutron flux of 1-3x10 12 ncm -2 sec -1 . The short-lived species were determined after a 2-minute irradiation in the pneumatic rabbit tube, and the longer-lived species after an 8-hour irradiation in the central thimble facility. The standards and samples were counted on coaxial 56-cm 3 Ge(Li) detector. The system resolution was 1.96 keV (FWHM) with a peak to Compton ratio of 37:1 and counting efficiency of 13%, all compared to the 1.332 MeV photopeak of Co-60. (T.I.)

  8. Can Man Control His Biological Evolution? A Symposium on Genetic Engineering. Xeroxing Human Beings

    Science.gov (United States)

    Freund, Paul A.

    1972-01-01

    If the aim of new research is to improve the genetic inheritance of future generations, then decisions regarding who should decide what research should be done needs to be established. Positive and negative eugenics need to be considered thoroughly. (PS)

  9. Genetic diversity in the oral pathogen Porphyromonas gingivalis: molecular mechanisms and biological consequences

    Science.gov (United States)

    Tribble, Gena D; Kerr, Jennifer E; Wang, Bing-Yan

    2013-01-01

    Porphyromonas gingivalis is a Gram-negative anaerobic bacterium that colonizes the human oral cavity. It is implicated in the development of periodontitis, a chronic periodontal disease affecting half of the adult population in the USA. To survive in the oral cavity, these bacteria must colonize dental plaque biofilms in competition with other bacterial species. Long-term survival requires P. gingivalis to evade host immune responses, while simultaneously adapting to the changing physiology of the host and to alterations in the plaque biofilm. In reflection of this highly variable niche, P. gingivalis is a genetically diverse species and in this review the authors summarize genetic diversity as it relates to pathogenicity in P. gingivalis. Recent studies revealing a variety of mechanisms by which adaptive changes in genetic content can occur are also reviewed. Understanding the genetic plasticity of P. gingivalis will provide a better framework for understanding the host–microbe interactions associated with periodontal disease. PMID:23642116

  10. Micro-computed tomography imaging and analysis in developmental biology and toxicology.

    Science.gov (United States)

    Wise, L David; Winkelmann, Christopher T; Dogdas, Belma; Bagchi, Ansuman

    2013-06-01

    Micro-computed tomography (micro-CT) is a high resolution imaging technique that has expanded and strengthened in use since it was last reviewed in this journal in 2004. The technology has expanded to include more detailed analysis of bone, as well as soft tissues, by use of various contrast agents. It is increasingly applied to questions in developmental biology and developmental toxicology. Relatively high-throughput protocols now provide a powerful and efficient means to evaluate embryos and fetuses subjected to genetic manipulations or chemical exposures. This review provides an overview of the technology, including scanning, reconstruction, visualization, segmentation, and analysis of micro-CT generated images. This is followed by a review of more recent applications of the technology in some common laboratory species that highlight the diverse issues that can be addressed. Copyright © 2013 Wiley Periodicals, Inc.

  11. Suicidal genetic elements and their use in biological containment of bacteria

    DEFF Research Database (Denmark)

    Molin, Søren; Boe, Lars; Jensen, Lars Bogø

    1993-01-01

    The potential risks of unintentional releases of genetically modified organisms, and the lack of predictable behavior of these in the environment, are the subject of considerable concern. This concern is accentuated in connection with the next phase of gene technology comprising deliberate releases...... are discussed: actively contained bacteria based on the introduction of controlled suicide systems, and passively contained strains based on genetic interference with their survival under environmental-stress conditions....

  12. A strategy analysis for genetic association studies with known inbreeding

    Directory of Open Access Journals (Sweden)

    del Giacco Stefano

    2011-07-01

    Full Text Available Abstract Background Association studies consist in identifying the genetic variants which are related to a specific disease through the use of statistical multiple hypothesis testing or segregation analysis in pedigrees. This type of studies has been very successful in the case of Mendelian monogenic disorders while it has been less successful in identifying genetic variants related to complex diseases where the insurgence depends on the interactions between different genes and the environment. The current technology allows to genotype more than a million of markers and this number has been rapidly increasing in the last years with the imputation based on templates sets and whole genome sequencing. This type of data introduces a great amount of noise in the statistical analysis and usually requires a great number of samples. Current methods seldom take into account gene-gene and gene-environment interactions which are fundamental especially in complex diseases. In this paper we propose to use a non-parametric additive model to detect the genetic variants related to diseases which accounts for interactions of unknown order. Although this is not new to the current literature, we show that in an isolated population, where the most related subjects share also most of their genetic code, the use of additive models may be improved if the available genealogical tree is taken into account. Specifically, we form a sample of cases and controls with the highest inbreeding by means of the Hungarian method, and estimate the set of genes/environmental variables, associated with the disease, by means of Random Forest. Results We have evidence, from statistical theory, simulations and two applications, that we build a suitable procedure to eliminate stratification between cases and controls and that it also has enough precision in identifying genetic variants responsible for a disease. This procedure has been successfully used for the beta-thalassemia, which is

  13. 'Battling my biology': psychological effects of genetic testing for risk of weight gain.

    Science.gov (United States)

    Meisel, S F; Wardle, J

    2014-04-01

    The availability of genetic tests for multifactorial conditions such as obesity raises concerns that higher-risk results could lead to fatalistic reactions or lower-risk results to complacency. No study has investigated the effects of genetic test feedback for the risk of obesity in non-clinical samples. The present study explored psychological and behavioral reactions to genetic test feedback for a weight related gene (FTO) in a volunteer sample (n = 18) using semi-structured interviews. Respondents perceived the gene test result as scientifically objective; removing some of the emotion attached to the issue of weight control. Those who were struggling with weight control reported relief of self-blame. There was no evidence for either complacency or fatalism; all respondents emphasized the importance of lifestyle choices in long-term weight management, although they recognized the role of both genes and environment. Regardless of the test result, respondents evaluated the testing positively and found it motivating and informative. Genetic test feedback for risk of weight gain may offer psychological benefits beyond its objectively limited clinical utility. As the role of genetic counselors is likely to expand, awareness of reasons for genetic testing for common, complex conditions and reactions to the test result is important.

  14. Fusion genetic analysis of jasmonate-signalling mutants in Arabidopsis

    DEFF Research Database (Denmark)

    Jensen, Anders Bøgh; Raventos, D.; Mundy, John Williams

    2002-01-01

    as two recessive mutants, designated joe1 and 2, that overexpress the reporter. Genetic analysis indicated that reporter overexpression in the joe mutants requires COI. joe1 responded to MeJA with increased anthocyanin accumulation, while joe2 responded with decreased root growth inhibition. In addition...... activity was also induced by the protein kinase inhibitor staurosporine and antagonized by the protein phosphatase inhibitor okadaic acid. FLUC bio-imaging, RNA gel-blot analysis and progeny analyses identified three recessive mutants that underexpress the FLUC reporter, designated jue1, 2 and 3, as well...

  15. DMPD: The Toll-like receptors: analysis by forward genetic methods. [Dynamic Macrophage Pathway CSML Database

    Lifescience Database Archive (English)

    Full Text Available 16001129 The Toll-like receptors: analysis by forward genetic methods. Beutler B. I...mmunogenetics. 2005 Jul;57(6):385-92. (.png) (.svg) (.html) (.csml) Show The Toll-like receptors: analysis by forwar...d genetic methods. PubmedID 16001129 Title The Toll-like receptors: analysis by forward genetic meth

  16. Microarray analysis reveals genetic pathways modulated by tipifarnib in acute myeloid leukemia

    International Nuclear Information System (INIS)

    Raponi, Mitch; Belly, Robert T; Karp, Judith E; Lancet, Jeffrey E; Atkins, David; Wang, Yixin

    2004-01-01

    Farnesyl protein transferase inhibitors (FTIs) were originally developed to inhibit oncogenic ras, however it is now clear that there are several other potential targets for this drug class. The FTI tipifarnib (ZARNESTRA™, R115777) has recently demonstrated clinical responses in adults with refractory and relapsed acute leukemias. This study was conducted to identify genetic markers and pathways that are regulated by tipifarnib in acute myeloid leukemia (AML). Tipifarnib-mediated gene expression changes in 3 AML cell lines and bone marrow samples from two patients with AML were analyzed on a cDNA microarray containing approximately 7000 human genes. Pathways associated with these expression changes were identified using the Ingenuity Pathway Analysis tool. The expression analysis identified a common set of genes that were regulated by tipifarnib in three leukemic cell lines and in leukemic blast cells isolated from two patients who had been treated with tipifarnib. Association of modulated genes with biological functional groups identified several pathways affected by tipifarnib including cell signaling, cytoskeletal organization, immunity, and apoptosis. Gene expression changes were verified in a subset of genes using real time RT-PCR. Additionally, regulation of apoptotic genes was found to correlate with increased Annexin V staining in the THP-1 cell line but not in the HL-60 cell line. The genetic networks derived from these studies illuminate some of the biological pathways affected by FTI treatment while providing a proof of principle for identifying candidate genes that might be used as surrogate biomarkers of drug activity

  17. Should We Add History of Science to Provide Nature of Science into Vietnamese Biology Textbook: A Case of Evolution and Genetics Teaching?

    Science.gov (United States)

    Diem, Huynh Thi Thuy; Yuenyong, Chokchai

    2018-01-01

    History of science (HOS) plays a substantial role in the enhancement of rooted understanding in science teaching and learning. HOS of evolution and genetics has not been included in Vietnamese biology textbooks. This study aims to investigate the necessity of introducing evolution and genetics HOS into Vietnamese textbooks. A case study approach…

  18. GenAlEx 6.5: genetic analysis in Excel. Population genetic software for teaching and research--an update.

    Science.gov (United States)

    Peakall, Rod; Smouse, Peter E

    2012-10-01

    GenAlEx: Genetic Analysis in Excel is a cross-platform package for population genetic analyses that runs within Microsoft Excel. GenAlEx offers analysis of diploid codominant, haploid and binary genetic loci and DNA sequences. Both frequency-based (F-statistics, heterozygosity, HWE, population assignment, relatedness) and distance-based (AMOVA, PCoA, Mantel tests, multivariate spatial autocorrelation) analyses are provided. New features include calculation of new estimators of population structure: G'(ST), G''(ST), Jost's D(est) and F'(ST) through AMOVA, Shannon Information analysis, linkage disequilibrium analysis for biallelic data and novel heterogeneity tests for spatial autocorrelation analysis. Export to more than 30 other data formats is provided. Teaching tutorials and expanded step-by-step output options are included. The comprehensive guide has been fully revised. GenAlEx is written in VBA and provided as a Microsoft Excel Add-in (compatible with Excel 2003, 2007, 2010 on PC; Excel 2004, 2011 on Macintosh). GenAlEx, and supporting documentation and tutorials are freely available at: http://biology.anu.edu.au/GenAlEx. rod.peakall@anu.edu.au.

  19. GenAlEx 6.5: genetic analysis in Excel. Population genetic software for teaching and research—an update

    Science.gov (United States)

    Peakall, Rod; Smouse, Peter E.

    2012-01-01

    Summary: GenAlEx: Genetic Analysis in Excel is a cross-platform package for population genetic analyses that runs within Microsoft Excel. GenAlEx offers analysis of diploid codominant, haploid and binary genetic loci and DNA sequences. Both frequency-based (F-statistics, heterozygosity, HWE, population assignment, relatedness) and distance-based (AMOVA, PCoA, Mantel tests, multivariate spatial autocorrelation) analyses are provided. New features include calculation of new estimators of population structure: G′ST, G′′ST, Jost’s Dest and F′ST through AMOVA, Shannon Information analysis, linkage disequilibrium analysis for biallelic data and novel heterogeneity tests for spatial autocorrelation analysis. Export to more than 30 other data formats is provided. Teaching tutorials and expanded step-by-step output options are included. The comprehensive guide has been fully revised. Availability and implementation: GenAlEx is written in VBA and provided as a Microsoft Excel Add-in (compatible with Excel 2003, 2007, 2010 on PC; Excel 2004, 2011 on Macintosh). GenAlEx, and supporting documentation and tutorials are freely available at: http://biology.anu.edu.au/GenAlEx. Contact: rod.peakall@anu.edu.au PMID:22820204

  20. Genetic analysis of human traits in vitro: drug response and gene expression in lymphoblastoid cell lines.

    Directory of Open Access Journals (Sweden)

    Edwin Choy

    2008-11-01

    Full Text Available Lymphoblastoid cell lines (LCLs, originally collected as renewable sources of DNA, are now being used as a model system to study genotype-phenotype relationships in human cells, including searches for QTLs influencing levels of individual mRNAs and responses to drugs and radiation. In the course of attempting to map genes for drug response using 269 LCLs from the International HapMap Project, we evaluated the extent to which biological noise and non-genetic confounders contribute to trait variability in LCLs. While drug responses could be technically well measured on a given day, we observed significant day-to-day variability and substantial correlation to non-genetic confounders, such as baseline growth rates and metabolic state in culture. After correcting for these confounders, we were unable to detect any QTLs with genome-wide significance for drug response. A much higher proportion of variance in mRNA levels may be attributed to non-genetic factors (intra-individual variance--i.e., biological noise, levels of the EBV virus used to transform the cells, ATP levels than to detectable eQTLs. Finally, in an attempt to improve power, we focused analysis on those genes that had both detectable eQTLs and correlation to drug response; we were unable to detect evidence that eQTL SNPs are convincingly associated with drug response in the model. While LCLs are a promising model for pharmacogenetic experiments, biological noise and in vitro artifacts may reduce power and have the potential to create spurious association due to confounding.

  1. Healthy Chilean Adolescents with HOMA-IR ≥ 2.6 Have Increased Cardiometabolic Risk: Association with Genetic, Biological, and Environmental Factors

    Directory of Open Access Journals (Sweden)

    R. Burrows

    2015-01-01

    Full Text Available Objective. To determine the optimal cutoff of the homeostasis model assessment-insulin resistance (HOMA-IR for diagnosis of the metabolic syndrome (MetS in adolescents and examine whether insulin resistance (IR, determined by this method, was related to genetic, biological, and environmental factors. Methods. In 667 adolescents (16.8 ± 0.3 y, BMI, waist circumference, glucose, insulin, adiponectin, diet, and physical activity were measured. Fat and fat-free mass were assessed by dual-energy X-ray absorptiometry. Family history of type 2 diabetes (FHDM was reported. We determined the optimal cutoff of HOMA-IR to diagnose MetS (IDF criteria using ROC analysis. IR was defined as HOMA-IR values above the cutoff. We tested the influence of genetic, biological, and environmental factors on IR using logistic regression analyses. Results. Of the participants, 16% were obese and 9.4 % met criteria for MetS. The optimal cutoff for MetS diagnosis was a HOMA-IR value of 2.6. Based on this value, 16.3% of participants had IR. Adolescents with IR had a significantly higher prevalence of obesity, abdominal obesity, fasting hyperglycemia, and MetS compared to those who were not IR. FHDM, sarcopenia, obesity, and low adiponectin significantly increased the risk of IR. Conclusions. In adolescents, HOMA-IR ≥ 2.6 was associated with greater cardiometabolic risk.

  2. Healthy Chilean Adolescents with HOMA-IR ≥ 2.6 Have Increased Cardiometabolic Risk: Association with Genetic, Biological, and Environmental Factors.

    Science.gov (United States)

    Burrows, R; Correa-Burrows, P; Reyes, M; Blanco, E; Albala, C; Gahagan, S

    2015-01-01

    To determine the optimal cutoff of the homeostasis model assessment-insulin resistance (HOMA-IR) for diagnosis of the metabolic syndrome (MetS) in adolescents and examine whether insulin resistance (IR), determined by this method, was related to genetic, biological, and environmental factors. In 667 adolescents (16.8 ± 0.3 y), BMI, waist circumference, glucose, insulin, adiponectin, diet, and physical activity were measured. Fat and fat-free mass were assessed by dual-energy X-ray absorptiometry. Family history of type 2 diabetes (FHDM) was reported. We determined the optimal cutoff of HOMA-IR to diagnose MetS (IDF criteria) using ROC analysis. IR was defined as HOMA-IR values above the cutoff. We tested the influence of genetic, biological, and environmental factors on IR using logistic regression analyses. Of the participants, 16% were obese and 9.4 % met criteria for MetS. The optimal cutoff for MetS diagnosis was a HOMA-IR value of 2.6. Based on this value, 16.3% of participants had IR. Adolescents with IR had a significantly higher prevalence of obesity, abdominal obesity, fasting hyperglycemia, and MetS compared to those who were not IR. FHDM, sarcopenia, obesity, and low adiponectin significantly increased the risk of IR. In adolescents, HOMA-IR ≥ 2.6 was associated with greater cardiometabolic risk.

  3. Integrated Network Analysis and Effective Tools in Plant Systems Biology

    Directory of Open Access Journals (Sweden)

    Atsushi eFukushima

    2014-11-01

    Full Text Available One of the ultimate goals in plant systems biology is to elucidate the genotype-phenotype relationship in plant cellular systems. Integrated network analysis that combines omics data with mathematical models has received particular attention. Here we focus on the latest cutting-edge computational advances that facilitate their combination. We highlight (1 network visualization tools, (2 pathway analyses, (3 genome-scale metabolic reconstruction, and (4 the integration of high-throughput experimental data and mathematical models. Multi-omics data that contain the genome, transcriptome, proteome, and metabolome and mathematical models are expected to integrate and expand our knowledge of complex plant metabolisms.

  4. Prompt gamma cold neutron activation analysis applied to biological materials

    International Nuclear Information System (INIS)

    Rossbach, M.; Hiep, N.T.

    1992-01-01

    Cold neutrons at the external neutron guide laboratory (ELLA) of the KFA Juelich are used to demonstrate their profitable application for multielement characterization of biological materials. The set-up and experimental conditions of the Prompt Gamma Cold Neutron Activation Analysis (PGCNAA) device is described in detail. Results for C, H, N, S, K, B, and Cd using synthetic standards and the 'ratio' technique for calculation are reported for several reference materials and prove the method to be reliable and complementary with respect to the elements being determined by INAA. (orig.)

  5. Elemental Analysis in Biological Matrices Using ICP-MS.

    Science.gov (United States)

    Hansen, Matthew N; Clogston, Jeffrey D

    2018-01-01

    The increasing exploration of metallic nanoparticles for use as cancer therapeutic agents necessitates a sensitive technique to track the clearance and distribution of the material once introduced into a living system. Inductively coupled plasma mass spectrometry (ICP-MS) provides a sensitive and selective tool for tracking the distribution of metal components from these nanotherapeutics. This chapter presents a standardized method for processing biological matrices, ensuring complete homogenization of tissues, and outlines the preparation of appropriate standards and controls. The method described herein utilized gold nanoparticle-treated samples; however, the method can easily be applied to the analysis of other metals.

  6. Analysis of the biological and molecular variability of the Polish isolates of Tomato black ring virus (TBRV).

    Science.gov (United States)

    Rymelska, N; Borodynko, N; Pospieszny, H; Hasiów-Jaroszewska, B

    2013-10-01

    Tomato black ring virus (TBRV) is an important pathogen infecting many plant species worldwide. The biological and molecular variability of the Polish isolates of TBRV was analyzed. The analysis was performed based on the symptoms induced by various isolates on test plant species as well as on phylogenetic relationships between isolates. Isolates differed in their host range and symptomatology. In addition, genetic variation among isolates was characterized by restriction fragment length polymorphism analysis and confirmed by sequencing. The phylogenetic analysis revealed that the Polish isolates differ from each other and do not form a monophyletic cluster. Finally, we identified and analyzed sequences of defective RNA forms arising from the TBRV genome.

  7. Genetic algorithms and the analysis of SnIa data

    International Nuclear Information System (INIS)

    Nesseris, Savvas

    2011-01-01

    The Genetic Algorithm is a heuristic that can be used to produce model independent solutions to an optimization problem, thus making it ideal for use in cosmology and more specifically in the analysis of type Ia supernovae data. In this work we use the Genetic Algorithms (GA) in order to derive a null test on the spatially flat cosmological constant model ΛCDM. This is done in two steps: first, we apply the GA to the Constitution SNIa data in order to acquire a model independent reconstruction of the expansion history of the Universe H(z) and second, we use the reconstructed H(z) in conjunction with the Om statistic, which is constant only for the ΛCDM model, to derive our constraints. We find that while ΛCDM is consistent with the data at the 2σ level, some deviations from ΛCDM model at low redshifts can be accommodated.

  8. Biological Nanopores: Confined Spaces for Electrochemical Single-Molecule Analysis.

    Science.gov (United States)

    Cao, Chan; Long, Yi-Tao

    2018-02-20

    Nanopore sensing is developing into a powerful single-molecule approach to investigate the features of biomolecules that are not accessible by studying ensemble systems. When a target molecule is transported through a nanopore, the ions occupying the pore are excluded, resulting in an electrical signal from the intermittent ionic blockade event. By statistical analysis of the amplitudes, duration, frequencies, and shapes of the blockade events, many properties of the target molecule can be obtained in real time at the single-molecule level, including its size, conformation, structure, charge, geometry, and interactions with other molecules. With the development of the use of α-hemolysin to characterize individual polynucleotides, nanopore technology has attracted a wide range of research interest in the fields of biology, physics, chemistry, and nanoscience. As a powerful single-molecule analytical method, nanopore technology has been applied for the detection of various biomolecules, including oligonucleotides, peptides, oligosaccharides, organic molecules, and disease-related proteins. In this Account, we highlight recent developments of biological nanopores in DNA-based sensing and in studying the conformational structures of DNA and RNA. Furthermore, we introduce the application of biological nanopores to investigate the conformations of peptides affected by charge, length, and dipole moment and to study disease-related proteins' structures and aggregation transitions influenced by an inhibitor, a promoter, or an applied voltage. To improve the sensing ability of biological nanopores and further extend their application to a wider range of molecular sensing, we focus on exploring novel biological nanopores, such as aerolysin and Stable Protein 1. Aerolysin exhibits an especially high sensitivity for the detection of single oligonucleotides both in current separation and duration. Finally, to facilitate the use of nanopore measurements and statistical analysis

  9. DNA degradation and genetic analysis of empty puparia: genetic identification limits in forensic entomology.

    Science.gov (United States)

    Mazzanti, Morena; Alessandrini, Federica; Tagliabracci, Adriano; Wells, Jeffrey D; Campobasso, Carlo P

    2010-02-25

    Puparial cases are common remnants of necrophagous flies in crime investigations. They usually represent the longest developmental time and, therefore, they can be very useful for the estimation of the post-mortem interval (PMI). However, before any PMI estimate, it is crucial to identify the species of fly eclosed from each puparium associated with the corpse. Morphological characteristics of the puparium are often distinctive enough to permit a species identification. But, even an accurate morphological analysis of empty puparia cannot discriminate among different species of closely related flies. Furthermore, morphological identification may be impossible if the fly puparia are poorly preserved or in fragments. This study explores the applicability of biomolecular techniques on empty puparia and their fragments for identification purposes. A total of 63 empty puparia of necrophagous Diptera resulting from forensic casework were examined. Samples were divided into three groups according to size, type and time of eclosion in order to verify whether the physical characteristics and puparia weathering can influence the amount of DNA extraction. The results suggest that a reliable genetic identification of forensically important flies may also be performed from empty puparia and/or their fragments. However, DNA degradation can deeply compromise the genetic analysis since the older the fly puparia, the smaller are the amplified fragments. 2009 Elsevier Ireland Ltd. All rights reserved.

  10. Women are underrepresented in computational biology: An analysis of the scholarly literature in biology, computer science and computational biology.

    Science.gov (United States)

    Bonham, Kevin S; Stefan, Melanie I

    2017-10-01

    While women are generally underrepresented in STEM fields, there are noticeable differences between fields. For instance, the gender ratio in biology is more balanced than in computer science. We were interested in how this difference is reflected in the interdisciplinary field of computational/quantitative biology. To this end, we examined the proportion of female authors in publications from the PubMed and arXiv databases. There are fewer female authors on research papers in computational biology, as compared to biology in general. This is true across authorship position, year, and journal impact factor. A comparison with arXiv shows that quantitative biology papers have a higher ratio of female authors than computer science papers, placing computational biology in between its two parent fields in terms of gender representation. Both in biology and in computational biology, a female last author increases the probability of other authors on the paper being female, pointing to a potential role of female PIs in influencing the gender balance.

  11. Women are underrepresented in computational biology: An analysis of the scholarly literature in biology, computer science and computational biology.

    Directory of Open Access Journals (Sweden)

    Kevin S Bonham

    2017-10-01

    Full Text Available While women are generally underrepresented in STEM fields, there are noticeable differences between fields. For instance, the gender ratio in biology is more balanced than in computer science. We were interested in how this difference is reflected in the interdisciplinary field of computational/quantitative biology. To this end, we examined the proportion of female authors in publications from the PubMed and arXiv databases. There are fewer female authors on research papers in computational biology, as compared to biology in general. This is true across authorship position, year, and journal impact factor. A comparison with arXiv shows that quantitative biology papers have a higher ratio of female authors than computer science papers, placing computational biology in between its two parent fields in terms of gender representation. Both in biology and in computational biology, a female last author increases the probability of other authors on the paper being female, pointing to a potential role of female PIs in influencing the gender balance.

  12. Covariance Association Test (CVAT) Identifies Genetic Markers Associated with Schizophrenia in Functionally Associated Biological Processes

    DEFF Research Database (Denmark)

    Rohde, Palle Duun; Demontis, Ditte; Castro Dias Cuyabano, Beatriz

    2016-01-01

    was among the top performers. When extending CVAT to utilize a mixture of SNP effects, we found an increase in power to detect the causal sets. Applying the methods to a Danish schizophrenia case–control data set, we found genomic evidence for association of schizophrenia with vitamin A metabolism......Schizophrenia is a psychiatric disorder with large personal and social costs, and understanding the genetic etiology is important. Such knowledge can be obtained by testing the association between a disease phenotype and individual genetic markers; however, such single-marker methods have limited...... genomic best linear unbiased prediction (GBLUP), the covariance association test (CVAT). We compared the performance of CVAT to other commonly used set tests. The comparison was conducted using a simulated study population having the same genetic parameters as for schizophrenia. We found that CVAT...

  13. Genetic Analysis of Elevated Mastitis Risk Based on Mastitis Indicator Data

    DEFF Research Database (Denmark)

    Sørensen, Lars Peter; Løvendahl, Peter

    Whole-genome sequences and multiple trait phenotypes from large numbers of individuals will soon be available. Well established statistical modeling approaches enable the genetic analyses of complex trait phenotypes while accounting for a variety of additive and non-additive genetic mechanisms....... These modeling approaches have proven to be highly useful to determine population genetic parameters as well as prediction of genetic risk or value. We present statistical modelling approaches that use prior biological information for evaluating the collective action of sets of genetic variants. We have applied...

  14. Adrenocortical carcinoma: the dawn of a new era of genomic and molecular biology analysis.

    Science.gov (United States)

    Armignacco, R; Cantini, G; Canu, L; Poli, G; Ercolino, T; Mannelli, M; Luconi, M

    2018-05-01

    Over the last decade, the development of novel and high penetrance genomic approaches to analyze biological samples has provided very new insights in the comprehension of the molecular biology and genetics of tumors. The use of these techniques, consisting of exome sequencing, transcriptome, miRNome, chromosome alteration, genome, and epigenome analysis, has also been successfully applied to adrenocortical carcinoma (ACC). In fact, the analysis of large cohorts of patients allowed the stratification of ACC with different patterns of molecular alterations, associated with different outcomes, thus providing a novel molecular classification of the malignancy to be associated with the classical pathological analysis. Improving our knowledge about ACC molecular features will result not only in a better diagnostic and prognostic accuracy, but also in the identification of more specific therapeutic targets for the development of more effective pharmacological anti-cancer approaches. In particular, the specific molecular alteration profiles identified in ACC may represent targetable events by the use of already developed or newly designed drugs enabling a better and more efficacious management of the ACC patient in the context of new frontiers of personalized precision medicine.

  15. Fanconi anaemia: genetics, molecular biology, and cancer – implications for clinical management in children and adults.

    Science.gov (United States)

    Schneider, M; Chandler, K; Tischkowitz, M; Meyer, S

    2015-07-01

    Fanconi anaemia (FA) is an inherited disease with congenital and developmental abnormalities, cross-linker hypersensitivity and extreme cancer predisposition. With better understanding of the genetic and molecular basis of the disease, and improved clinical management, FA has been transformed from a life-limiting paediatric disease to an uncommon chronic condition that needs lifelong multidisciplinary management, and a paradigm condition for the understanding of the gene-environment interaction in the aetiology of congenital anomalies, haematopoiesis and cancer development. Here we review genetic, molecular and clinical aspects of FA, and discuss current controversies and future prospects. © 2014 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

  16. Molecular biology of breast cancer metastasis: Genetic regulation of human breast carcinoma metastasis

    International Nuclear Information System (INIS)

    Welch, Danny R; Steeg, Patricia S; Rinker-Schaeffer, Carrie W

    2000-01-01

    The present is an overview of recent data that describes the genetic underpinnings of the suppression of cancer metastasis. Despite the explosion of new information about the genetics of cancer, only six human genes have thus far been shown to suppress metastasis functionally. Not all have been shown to be functional in breast carcinoma. Several additional genes inhibit various steps of the metastatic cascade, but do not necessarily block metastasis when tested using in vivo assays. The implications of this are discussed. Two recently discovered metastasis suppressor genes block proliferation of tumor cells at a secondary site, offering a new target for therapeutic intervention

  17. Integrating Biological Perspectives:. a Quantum Leap for Microarray Expression Analysis

    Science.gov (United States)

    Wanke, Dierk; Kilian, Joachim; Bloss, Ulrich; Mangelsen, Elke; Supper, Jochen; Harter, Klaus; Berendzen, Kenneth W.

    2009-02-01

    Biologists and bioinformatic scientists cope with the analysis of transcript abundance and the extraction of meaningful information from microarray expression data. By exploiting biological information accessible in public databases, we try to extend our current knowledge over the plant model organism Arabidopsis thaliana. Here, we give two examples of increasing the quality of information gained from large scale expression experiments by the integration of microarray-unrelated biological information: First, we utilize Arabidopsis microarray data to demonstrate that expression profiles are usually conserved between orthologous genes of different organisms. In an initial step of the analysis, orthology has to be inferred unambiguously, which then allows comparison of expression profiles between orthologs. We make use of the publicly available microarray expression data of Arabidopsis and barley, Hordeum vulgare. We found a generally positive correlation in expression trajectories between true orthologs although both organisms are only distantly related in evolutionary time scale. Second, extracting clusters of co-regulated genes implies similarities in transcriptional regulation via similar cis-regulatory elements (CREs). Vice versa approaches, where co-regulated gene clusters are found by investigating on CREs were not successful in general. Nonetheless, in some cases the presence of CREs in a defined position, orientation or CRE-combinations is positively correlated with co-regulated gene clusters. Here, we make use of genes involved in the phenylpropanoid biosynthetic pathway, to give one positive example for this approach.

  18. Growth Analysis of Cancer Biology Research, 2000-2011

    Directory of Open Access Journals (Sweden)

    Keshava,

    2015-09-01

    Full Text Available Methods and Material: The PubMed database was used for retrieving data on 'cancer biology.' Articles were downloaded from the years 2000 to 2011. The articles were classified chronologically and transferred to a spreadsheet application for analysis of the data as per the objectives of the study. Statistical Method: To investigate the nature of growth of articles via exponential, linear, and logistics tests. Result: The year wise analysis of the growth of articles output shows that for the years 2000 to 2005 and later there is a sudden increase in output, during the years 2006 to 2007 and 2008 to 2011. The high productivity of articles during these years may be due to their significance in cancer biology literature, having received prominence in research. Conclusion: There is an obvious need for better compilations of statistics on numbers of publications in the years from 2000 to 2011 on various disciplines on a worldwide scale, for informed critical assessments of the amount of new knowledge contributed by these publications, and for enhancements and refinements of present Scientometric techniques (citation and publication counts, so that valid measures of knowledge growth may be obtained. Only then will Scientometrics be able to provide accurate, useful descriptions and predictions of knowledge growth.

  19. Genetic Analysis of Gravity Signal Transduction in Arabidopsis thaliana Seedlings

    Science.gov (United States)

    Boonsirichai, K.; Harrison, B.; Stanga, J.; Young, L.-S.; Neal, C.; Sabat, G.; Murthy, N.; Harms, A.; Sedbrook, J.; Masson, P.

    The primary roots of Arabidopsis thaliana seedlings respond to gravity stimulation by developing a tip curvature that results from differential cellular elongation on opposite flanks of the elongation zone. This curvature appears modulated by a lateral gradient of auxin that originates in the gravity-perceiving cells (statocytes) of the root cap through an apparent lateral repositioning of a component the auxin efflux carrier complex within these cells (Friml et al, 2002, Nature 415: 806-809). Unfortunately, little is known about the molecular mechanisms that govern early phases of gravity perception and signal transduction within the root-cap statocytes. We have used a molecular genetic approach to uncover some of these mechanisms. Mutations in the Arabidopsis ARG1 and ARL2 genes, which encode J-domain proteins, resulted in specific alterations in root and hypocotyl gravitropism, without pleiotropic phenotypes. Interestingly, ARG1 and ARL2 appear to function in the same genetic pathway. A combination of molecular genetic, biochemical and cell-biological approaches were used to demonstrate that ARG1 functions in early phases of gravity signal transduction within the root and hypocotyl statocytes, and is needed for efficient lateral auxin transport within the cap. The ARG1 protein is associated with components of the secretory and/or endosomal pathways, suggesting its role in the recycling of components of the auxin efflux carrier complex between plasma membrane and endosome (Boonsirichai et al, 2003, Plant Cell 15:2612-2625). Genetic modifiers of arg1-2 were isolated and shown to enhance the gravitropic defect of arg1-2, while resulting in little or no gravitropic defects in a wild type ARG1 background. A slight tendency for arg1-2;mar1-1 and arg1-2;mar2-1 double-mutant organs to display an opposite gravitropic response compared to wild type suggests that all three genes contribute to the interpretation of the gravity-vector information by seedling organs. The

  20. Nonlinear optical polarization analysis in chemistry and biology

    CERN Document Server

    Simpson, Garth J

    2017-01-01

    This rigorous yet accessible guide presents a molecular-based description of nonlinear optical polarization analysis of chemical and biological assemblies. It includes discussion of the most common nonlinear optical microscopy and interfacial measurements used for quantitative analysis, specifically second harmonic generation (SHG), two-photon excited fluorescence (2PEF), vibrational sum frequency generation (SFG), and coherent anti-Stokes Raman spectroscopy/stimulated Raman spectroscopy (CARS/SRS). A linear algebra mathematical framework is developed, allowing step-wise systematic connections to be made between the observable measurements and the molecular response. Effects considered include local field corrections, the molecular orientation distribution, rotations between the molecular frame, the local frame and the laboratory frame, and simplifications from molecular and macromolecular symmetry. Specific examples are provided throughout the book, working from the common and relatively simple case studies ...

  1. Biosimilars design and analysis of follow-on biologics

    CERN Document Server

    2013-01-01

    "This book extensively covers both statistical and regulatory considerations from design to analysis of biosimilarity. … it is well presented and comprehensively covers fundamental issues and some of the newly developed methods for biosimilarity studies. The book is very balanced between scientific aspects and regulatory requirements. In addition, the reference lists give readers helpful information. … a valuable resource for anyone interested and involved in biosimilarity studies."-Biometrics, September 2014"[Professor] Chow's book Biosimilars: Design and Analysis of Follow-On Biologics … is the first book ever written on this topic. I commend Professor Chow for his effort to introduce the topic … Overall, this is a worthwhile reference book for statisticians interested in understanding biosimilar product development and evaluation." -Yi Tsong, PhD, Center for Drug Evaluation and Research, US Food and Drug Administration, USA, in Journal of Biopharmaceutical Statistics>.

  2. A hybrid correlation analysis with application to imaging genetics

    Science.gov (United States)

    Hu, Wenxing; Fang, Jian; Calhoun, Vince D.; Wang, Yu-Ping

    2018-03-01

    Investigating the association between brain regions and genes continues to be a challenging topic in imaging genetics. Current brain region of interest (ROI)-gene association studies normally reduce data dimension by averaging the value of voxels in each ROI. This averaging may lead to a loss of information due to the existence of functional sub-regions. Pearson correlation is widely used for association analysis. However, it only detects linear correlation whereas nonlinear correlation may exist among ROIs. In this work, we introduced distance correlation to ROI-gene association analysis, which can detect both linear and nonlinear correlations and overcome the limitation of averaging operations by taking advantage of the information at each voxel. Nevertheless, distance correlation usually has a much lower value than Pearson correlation. To address this problem, we proposed a hybrid correlation analysis approach, by applying canonical correlation analysis (CCA) to the distance covariance matrix instead of directly computing distance correlation. Incorporating CCA into distance correlation approach may be more suitable for complex disease study because it can detect highly associated pairs of ROI and gene groups, and may improve the distance correlation level and statistical power. In addition, we developed a novel nonlinear CCA, called distance kernel CCA, which seeks the optimal combination of features with the most significant dependence. This approach was applied to imaging genetic data from the Philadelphia Neurodevelopmental Cohort (PNC). Experiments showed that our hybrid approach produced more consistent results than conventional CCA across resampling and both the correlation and statistical significance were increased compared to distance correlation analysis. Further gene enrichment analysis and region of interest (ROI) analysis confirmed the associations of the identified genes with brain ROIs. Therefore, our approach provides a powerful tool for finding

  3. Genetic Analysis of Oncorhynchus Nerka : Life History and Genetic Analysis of Redfish Lake Oncorhynchus Nerka, 1993-1994 Completion Report.

    Energy Technology Data Exchange (ETDEWEB)

    Brannon, E.L.; Thorgaard, G.H.; Cummings, S.A.

    1994-10-01

    The study has shown through life history examination and DNA analysis that three forms of O. nerka are present in Redfish Lake. The three forms are closely related, but may be sufficiently different to be considered three separate stocks. Fishhook Creek kokanee are temporally isolated from the beach spawners, and may represent the gene pool most similar to the historic sockeye population that once spawned there. Fishhook Creek offers the best spawning area available in the lake system, and should be considered for use in reestablishing an anadromous Fishhook Creek sockeye swain. The resident beach spawning strain of O. nerka is likewise the most similar genetic form of the companion anadromous beach spawning O. nerka, and needs to be considered the most appropriate genetic source to help minimize reduced fitness of the sockeye from inbreeding.

  4. New genetic loci link adipose and insulin biology to body fat distribution

    NARCIS (Netherlands)

    D. Shungin (Dmitry); T.W. Winkler (Thomas W.); D.C. Croteau-Chonka (Damien); T. Ferreira (Teresa); A. Locke (Adam); R. Mägi (Reedik); R.J. Strawbridge (Rona); T.H. Pers (Tune); K. Fischer (Krista); A.E. Justice (Anne); T. Workalemahu (Tsegaselassie); J.M.W. Wu (Joseph M. W.); M.L. Buchkovich (Martin); N.L. Heard-Costa (Nancy); T.S. Roman (Tamara S.); A. Drong (Alexander); C. Song (Ci); S. Gustafsson (Stefan); F.R. Day (Felix); T. Esko (Tõnu); M. Fall (Magnus); Z. Kutalik (Zolta'n); J. Luan; J.C. Randall (Joshua); A. Scherag (Andre); S. Vedantam (Sailaja); A.R. Wood (Andrew); J. Chen (Jin); R.S.N. Fehrmann (Rudolf); J. Karjalainen (Juha); B. Kahali (Bratati); C.-T. Liu (Ching-Ti); E.M. Schmidt (Ellen); D. Absher (Devin); N. Amin (Najaf); M. Beekman (Marian); J.L. Bragg-Gresham (Jennifer L.); S. Buyske (Steven); A. Demirkan (Ayşe); G.B. Ehret (Georg); M.F. Feitosa (Mary Furlan); A. Goel (Anuj); A.U. Jackson (Anne); T. Johnson (Toby); M.E. Kleber (Marcus); K. Kristiansson (Kati); M. Mangino (Massimo); I.M. Leach (Irene Mateo); M.C. Medina-Gomez (Carolina); C. Palmer (Cameron); D. Pasko (Dorota); S. Pechlivanis (Sonali); M.J. Peters (Marjolein); I. Prokopenko (Inga); A. Stanca'kova' (Alena); Y.J. Sung (Yun Ju); T. Tanaka (Toshiko); A. Teumer (Alexander); J.V. van Vliet-Ostaptchouk (Jana); L. Yengo (Loic); W. Zhang (Weihua); E. Albrecht (Eva); J. Ärnlöv (Johan); G.M. Arscott (Gillian M.); S. Bandinelli (Stefania); A. Barrett (Angela); C. Bellis (Claire); A.J. Bennett (Amanda); C. Berne (Christian); M. Blüher (Matthias); S. Böhringer (Stefan); F. Bonnet (Fabrice); Y. Böttcher (Yvonne); M. Bruinenberg (M.); D.B. Carba (Delia B.); I.H. Caspersen (Ida H.); R. Clarke (Robert); E.W. Daw (E. Warwick); J. Deelen (Joris); E. Deelman (Ewa); G. Delgado; A.S.F. Doney (Alex); N. Eklund (Niina); M.R. Erdos (Michael); K. Estrada Gil (Karol); E. Eury (Elodie); N. Friedrich (Nele); M. Garcia (Melissa); V. Giedraitis (Vilmantas); B. Gigante (Bruna); A. Go (Attie); A. Golay (Alain); H. Grallert (Harald); T.B. Grammer (Tanja); J. Gräsler (Jürgen); J. Grewal (Jagvir); C.J. Groves (Christopher); T. Haller (Toomas); G. Hallmans (Göran); C.A. Hartman (Catharina); M. Hassinen (Maija); C. Hayward (Caroline); K. Heikkilä (Kauko); K.H. Herzig; Q. Helmer (Quinta); H.L. Hillege (Hans); O.L. Holmen (Oddgeir); S.C. Hunt (Steven); A. Isaacs (Aaron); T. Ittermann (Till); A.L. James (Alan); I. Johansson (Inger); T. Juliusdottir (Thorhildur); I.-P. Kalafati (Ioanna-Panagiota); L. Kinnunen (Leena); W. Koenig (Wolfgang); I.K. Kooner (Ishminder K.); W. Kratzer (Wolfgang); C. Lamina (Claudia); K. Leander (Karin); N.R. Lee (Nanette R.); P. Lichtner (Peter); L. Lind (Lars); J. Lindström (Jaana); S. Lobbens (Stéphane); M. Lorentzon (Mattias); F. MacH (François); P.K. Magnusson (Patrik); A. Mahajan (Anubha); W.L. McArdle (Wendy); C. Menni (Cristina); S. Merger (Sigrun); E. Mihailov (Evelin); L. Milani (Lili); R. Mills (Rebecca); A. Moayyeri (Alireza); K.L. Monda (Keri); S.P. Mooijaart (Simon); T.W. Mühleisen (Thomas); A. Mulas (Antonella); G. Müller (Gabriele); M. Müller-Nurasyid (Martina); R. Nagaraja (Ramaiah); M.A. Nalls (Michael); N. Narisu (Narisu); N. Glorioso (Nicola); I.M. Nolte (Ilja M.); M. Olden (Matthias); N.W. Rayner (Nigel William); F. Renström (Frida); J.S. Ried (Janina); N.R. Robertson (Neil R.); L.M. Rose (Lynda); S. Sanna (Serena); H. Scharnagl (Hubert); S. Scholtens (Salome); B. Sennblad (Bengt); T. Seufferlein (Thomas); C.M. Sitlani (Colleen); G.D. Smith; K. Stirrups (Kathy); H.M. Stringham (Heather); J. Sundstrom (Johan); M. Swertz (Morris); A.J. Swift (Amy); A.C. Syvanen; B. Tayo (Bamidele); B. Thorand (Barbara); G. Thorleifsson (Gudmar); A. Tomaschitz (Andreas); C. Troffa (Chiara); F.V.A. van Oort (Floor); N. Verweij (Niek); J.M. Vonk (Judith); L. Waite (Lindsay); R. Wennauer (Roman); T. Wilsgaard (Tom); M.K. Wojczynski (Mary ); A. Wong (Andrew); Q. Zhang (Qunyuan); J.H. Zhao (Jing Hua); E.P. Brennan (Eoin P.); M. Choi (Murim); P. Eriksson (Per); L. Folkersen (Lasse); A. Franco-Cereceda (Anders); A.G. Gharavi (Ali G.); A.K. Hedman (Asa); M.-F. Hivert (Marie-France); J. Huang (Jinyan); S. Kanoni (Stavroula); F. Karpe (Fredrik); S. Keildson (Sarah); K. Kiryluk (Krzysztof); L. Liang (Liming); R.P. Lifton (Richard); B. Ma (Baoshan); A.J. McKnight (Amy J.); R. McPherson (Ruth); A. Metspalu (Andres); J.L. Min (Josine L.); M.F. Moffatt (Miriam); G.W. Montgomery (Grant); J. Murabito (Joanne); G. Nicholson (Ggeorge); A.S. Dimas (Antigone); C. Olsson (Christian); J.R.B. Perry (John); E. Reinmaa (Eva); R.M. Salem (Rany); N. Sandholm (Niina); E.E. Schadt (Eric); R.A. Scott (Robert); L. Stolk (Lisette); E.E. Vallejo (Edgar E.); H.J. Westra (Harm-Jan); K.T. Zondervan (Krina); P. Amouyel (Philippe); D. Arveiler (Dominique); S.J.L. Bakker (Stephan); J.P. Beilby (John); R.N. Bergman (Richard); J. Blangero (John); M.J. Brown (Morris); M. Burnier (Michel); H. Campbell (Harry); A. Chakravarti (Aravinda); P.S. Chines (Peter); S. Claudi-Boehm (Simone); F.S. Collins (Francis); D.C. Crawford (Dana); J. Danesh (John); U. de Faire (Ulf); E.J.C. de Geus (Eco); M. Dörr (Marcus); R. Erbel (Raimund); K. Hagen (Knut); M. Farrall (Martin); E. Ferrannini (Ele); J. Ferrieres (Jean); N.G. Forouhi (Nita); T. Forrester (Terrence); O.H. Franco (Oscar); R.T. Gansevoort (Ron); C. Gieger (Christian); V. Gudnason (Vilmundur); C.A. Haiman (Christopher); T.B. Harris (Tamara); A.T. Hattersley (Andrew); M. Heliovaara (Markku); A.A. Hicks (Andrew); A. Hingorani (Aroon); W. Hoffmann (Wolfgang); A. Hofman (Albert); G. Homuth (Georg); S.E. Humphries (Steve); E. Hypponen (Elina); T. Illig (Thomas); M.-R. Jarvelin (Marjo-Riitta); B. Johansen (Berit); P. Jousilahti (Pekka); A. Jula (Antti); J. Kaprio (Jaakko); F. Kee (F.); S. Keinanen-Kiukaanniemi (Sirkka); J.S. Kooner (Jaspal S.); C. Kooperberg (Charles); P. Kovacs (Peter); A. Kraja (Aldi); M. Kumari (Meena); K. Kuulasmaa (Kari); J. Kuusisto (Johanna); T.A. Lakka (Timo); C. Langenberg (Claudia); L. Le Marchand (Loic); T. Lehtimäki (Terho); V. Lyssenko (Valeriya); S. Männistö (Satu); A. Marette (Andre'); T.C. Matise (Tara C.); C.A. McKenzie (Colin A.); B. McKnight (Barbara); A.W. Musk (Arthur); S. Möhlenkamp (Stefan); A.D. Morris (Andrew); M. Nelis (Mari); C. Ohlsson (Claes); A.J. Oldehinkel (Albertine); K.K. Ong (Ken K.); C. Palmer (Cameron); B.W.J.H. Penninx (Brenda); A. Peters (Annette); P.P. Pramstaller (Peter Paul); O. Raitakari (Olli); T. Rankinen (Tuomo); D.C. Rao (Dabeeru C.); T.K. Rice (Treva K.); P.M. Ridker (Paul); M.D. Ritchie (Marylyn D.); I. Rudan (Igor); V. Salomaa (Veikko); N.J. Samani (Nilesh); J. Saramies (Jouko); M.A. Sarzynski (Mark A.); P.E.H. Schwarz (Peter E. H.); A.R. Shuldiner (Alan); J.A. Staessen (Jan); V. Steinthorsdottir (Valgerdur); R.P. Stolk (Ronald); K. Strauch (Konstantin); A. Tönjes (Anke); A. Tremblay (Angelo); E. Tremoli (Elena); M.-C. Vohl (Marie-Claude); U. Völker (Uwe); P. Vollenweider (Peter); J.F. Wilson (James F); J.C.M. Witteman (Jacqueline); L.S. Adair (Linda); M. Bochud (Murielle); B.O. Boehm (Bernhard); S.R. Bornstein (Stefan R.); C. Bouchard (Claude); S. Cauchi (Ste'phane); M. Caulfield (Mark); J.C. Chambers (John C.); D.I. Chasman (Daniel); R.S. Cooper (Richard S.); G.V. Dedoussis (George); L. Ferrucci (Luigi); P. Froguel (Philippe); H.J. Grabe (Hans Jörgen); A. Hamsten (Anders); J. Hui (Jennie); K. Hveem (Kristian); K.-H. Jöckel (Karl-Heinz); M. Kivimaki (Mika); D. Kuh (Diana); M. Laakso (Markku); Y. Liu (YongMei); W. März (Winfried); P. Munroe (Patricia); I. Njølstad (Inger); B.A. Oostra (Ben); C.N.A. Palmer (Colin); N.L. Pedersen (Nancy L.); M. Perola (Markus); L. Perusse (Louis); U. Peters (Ulrike); C. Power (Christopher); T. Quertermous (Thomas); R. Rauramaa (Rainer); F. Rivadeneira Ramirez (Fernando); T. Saaristo (Timo); D. Saleheen; J. Sinisalo (Juha); P.E. Slagboom (Eline); H. Snieder (Harold); T.D. Spector (Timothy); U. Thorsteinsdottir (Unnur); M. Stumvoll (Michael); J. Tuomilehto (Jaakko); A.G. Uitterlinden (André); M. Uusitupa (Matti); P. van der Harst (Pim); G. Veronesi (Giovanni); M. Walker (Mark); N.J. Wareham (Nick); H. Watkins (Hugh); H.E. Wichmann (Heinz Erich); G.R. Abecasis (Gonçalo); T.L. Assimes (Themistocles); S.I. Berndt (Sonja); M. Boehnke (Michael); I.B. Borecki (Ingrid); P. Deloukas (Panagiotis); L. Franke (Lude); T.M. Frayling (Timothy); L. Groop (Leif); D. Hunter (David); R.C. Kaplan (Robert); J.R. O´Connell; L. Qi (Lu); D. Schlessinger (David); D.P. Strachan (David); J-A. Zwart (John-Anker); C.M. van Duijn (Cornelia); C.J. Willer (Cristen); P.M. Visscher (Peter); J. Yang (Joanna); J.N. Hirschhorn (Joel N.); M.C. Zillikens (Carola); M.I. McCarthy (Mark); E.K. Speliotes (Elizabeth); K.E. North (Kari); C.S. Fox (Caroline S.); I.E. Barroso (Inês); P.W. Franks (Paul); D. Anderson (Denise); E. Ingelsson (Erik); I.M. Heid (Iris); R.J.F. Loos (Ruth); L.A. Cupples (Adrienne); A.P. Morris (Andrew); C.M. Lindgren (Cecilia); K.L. Mohlke (Karen)

    2015-01-01

    textabstractBody fat distribution is a heritable trait and a well-established predictor of adverse metabolic outcomes, independent of overall adiposity. To increase our understanding of the genetic basis of body fat distribution and its molecular links to cardiometabolic traits, here we conduct

  5. New genetic loci link adipose and insulin biology to body fat distribution

    NARCIS (Netherlands)

    Shungin, Dmitry; Winkler, Thomas W.; Croteau-Chonka, Damien C.; Ferreira, Teresa; Locke, Adam E.; Mägi, Reedik; Strawbridge, Rona J.; Pers, Tune H.; Fischer, Krista; Justice, Anne E.; Workalemahu, Tsegaselassie; Wu, Joseph M. W.; Buchkovich, Martin L.; Heard-Costa, Nancy L.; Roman, Tamara S.; Drong, Alexander W.; Song, Ci; Gustafsson, Stefan; Day, Felix R.; Esko, Tonu; Fall, Tove; Kutalik, Zoltán; Luan, Jian'an; Randall, Joshua C.; Scherag, André; Vedantam, Sailaja; Wood, Andrew R.; Chen, Jin; Fehrmann, Rudolf; Karjalainen, Juha; Kahali, Bratati; Liu, Ching-Ti; Schmidt, Ellen M.; Absher, Devin; Amin, Najaf; Anderson, Denise; Beekman, Marian; Bragg-Gresham, Jennifer L.; Buyske, Steven; Demirkan, Ayse; Ehret, Georg B.; Feitosa, Mary F.; Goel, Anuj; Jackson, Anne U.; Johnson, Toby; Kleber, Marcus E.; Kristiansson, Kati; Mangino, Massimo; Mateo Leach, Irene; Medina-Gomez, Carolina; Palmer, Cameron D.; Pasko, Dorota; Pechlivanis, Sonali; Peters, Marjolein J.; Prokopenko, Inga; Stančáková, Alena; Ju Sung, Yun; Tanaka, Toshiko; Teumer, Alexander; van Vliet-Ostaptchouk, Jana V.; Yengo, Loïc; Zhang, Weihua; Albrecht, Eva; Ärnlöv, Johan; Arscott, Gillian M.; Bandinelli, Stefania; Barrett, Amy; Bellis, Claire; Bennett, Amanda J.; Berne, Christian; Blüher, Matthias; Böhringer, Stefan; Bonnet, Fabrice; Böttcher, Yvonne; Bruinenberg, Marcel; Carba, Delia B.; Caspersen, Ida H.; Clarke, Robert; Daw, E. Warwick; Deelen, Joris; Deelman, Ewa; Delgado, Graciela; Doney, Alex S. F.; Eklund, Niina; Erdos, Michael R.; Estrada, Karol; Eury, Elodie; Friedrich, Nele; Garcia, Melissa E.; Giedraitis, Vilmantas; Gigante, Bruna; Go, Alan S.; Golay, Alain; Grallert, Harald; Grammer, Tanja B.; Gräßler, Jürgen; Grewal, Jagvir; Groves, Christopher J.; Haller, Toomas; Hallmans, Goran; Hartman, Catharina A.; Hassinen, Maija; Hayward, Caroline; Heikkilä, Kauko; Herzig, Karl-Heinz; Helmer, Quinta; Hillege, Hans L.; Holmen, Oddgeir; Hunt, Steven C.; Isaacs, Aaron; Ittermann, Till; James, Alan L.; Johansson, Ingegerd; Juliusdottir, Thorhildur; Kalafati, Ioanna-Panagiota; Kinnunen, Leena; Koenig, Wolfgang; Kooner, Ishminder K.; Kratzer, Wolfgang; Lamina, Claudia; Leander, Karin; Lee, Nanette R.; Lichtner, Peter; Lind, Lars; Lindström, Jaana; Lobbens, Stéphane; Lorentzon, Mattias; Mach, François; Magnusson, Patrik K. E.; Mahajan, Anubha; McArdle, Wendy L.; Menni, Cristina; Merger, Sigrun; Mihailov, Evelin; Milani, Lili; Mills, Rebecca; Moayyeri, Alireza; Monda, Keri L.; Mooijaart, Simon P.; Mühleisen, Thomas W.; Mulas, Antonella; Müller, Gabriele; Müller-Nurasyid, Martina; Nagaraja, Ramaiah; Nalls, Michael A.; Narisu, Narisu; Glorioso, Nicola; Nolte, Ilja M.; Olden, Matthias; Rayner, Nigel W.; Renstrom, Frida; Ried, Janina S.; Robertson, Neil R.; Rose, Lynda M.; Sanna, Serena; Scharnagl, Hubert; Scholtens, Salome; Sennblad, Bengt; Seufferlein, Thomas; Sitlani, Colleen M.; Vernon Smith, Albert; Stirrups, Kathleen; Stringham, Heather M.; Sundström, Johan; Swertz, Morris A.; Swift, Amy J.; Syvänen, Ann-Christine; Tayo, Bamidele O.; Thorand, Barbara; Thorleifsson, Gudmar; Tomaschitz, Andreas; Troffa, Chiara; van Oort, Floor V. A.; Verweij, Niek; Vonk, Judith M.; Waite, Lindsay L.; Wennauer, Roman; Wilsgaard, Tom; Wojczynski, Mary K.; Wong, Andrew; Zhang, Qunyuan; Hua Zhao, Jing; Brennan, Eoin P.; Choi, Murim; Eriksson, Per; Folkersen, Lasse; Franco-Cereceda, Anders; Gharavi, Ali G.; Hedman, Åsa K.; Hivert, Marie-France; Huang, Jinyan; Kanoni, Stavroula; Karpe, Fredrik; Keildson, Sarah; Kiryluk, Krzysztof; Liang, Liming; Lifton, Richard P.; Ma, Baoshan; McKnight, Amy J.; McPherson, Ruth; Metspalu, Andres; Min, Josine L.; Moffatt, Miriam F.; Montgomery, Grant W.; Murabito, Joanne M.; Nicholson, George; Nyholt, Dale R.; Olsson, Christian; Perry, John R. B.; Reinmaa, Eva; Salem, Rany M.; Sandholm, Niina; Schadt, Eric E.; Scott, Robert A.; Stolk, Lisette; Vallejo, Edgar E.; Westra, Harm-Jan; Zondervan, Krina T.; Amouyel, Philippe; Arveiler, Dominique; Bakker, Stephan J. L.; Beilby, John; Bergman, Richard N.; Blangero, John; Brown, Morris J.; Burnier, Michel; Campbell, Harry; Chakravarti, Aravinda; Chines, Peter S.; Claudi-Boehm, Simone; Collins, Francis S.; Crawford, Dana C.; Danesh, John; de Faire, Ulf; de Geus, Eco J. C.; Dörr, Marcus; Erbel, Raimund; Eriksson, Johan G.; Farrall, Martin; Ferrannini, Ele; Ferrières, Jean; Forouhi, Nita G.; Forrester, Terrence; Franco, Oscar H.; Gansevoort, Ron T.; Gieger, Christian; Gudnason, Vilmundur; Haiman, Christopher A.; Harris, Tamara B.; Hattersley, Andrew T.; Heliövaara, Markku; Hicks, Andrew A.; Hingorani, Aroon D.; Hoffmann, Wolfgang; Hofman, Albert; Homuth, Georg; Humphries, Steve E.; Hyppönen, Elina; Illig, Thomas; Jarvelin, Marjo-Riitta; Johansen, Berit; Jousilahti, Pekka; Jula, Antti M.; Kaprio, Jaakko; Kee, Frank; Keinanen-Kiukaanniemi, Sirkka M.; Kooner, Jaspal S.; Kooperberg, Charles; Kovacs, Peter; Kraja, Aldi T.; Kumari, Meena; Kuulasmaa, Kari; Kuusisto, Johanna; Lakka, Timo A.; Langenberg, Claudia; Le Marchand, Loic; Lehtimäki, Terho; Lyssenko, Valeriya; Männistö, Satu; Marette, André; Matise, Tara C.; McKenzie, Colin A.; McKnight, Barbara; Musk, Arthur W.; Möhlenkamp, Stefan; Morris, Andrew D.; Nelis, Mari; Ohlsson, Claes; Oldehinkel, Albertine J.; Ong, Ken K.; Palmer, Lyle J.; Penninx, Brenda W.; Peters, Annette; Pramstaller, Peter P.; Raitakari, Olli T.; Rankinen, Tuomo; Rao, D. C.; Rice, Treva K.; Ridker, Paul M.; Ritchie, Marylyn D.; Rudan, Igor; Salomaa, Veikko; Samani, Nilesh J.; Saramies, Jouko; Sarzynski, Mark A.; Schwarz, Peter E. H.; Shuldiner, Alan R.; Staessen, Jan A.; Steinthorsdottir, Valgerdur; Stolk, Ronald P.; Strauch, Konstantin; Tönjes, Anke; Tremblay, Angelo; Tremoli, Elena; Vohl, Marie-Claude; Völker, Uwe; Vollenweider, Peter; Wilson, James F.; Witteman, Jacqueline C.; Adair, Linda S.; Bochud, Murielle; Boehm, Bernhard O.; Bornstein, Stefan R.; Bouchard, Claude; Cauchi, Stéphane; Caulfield, Mark J.; Chambers, John C.; Chasman, Daniel I.; Cooper, Richard S.; Dedoussis, George; Ferrucci, Luigi; Froguel, Philippe; Grabe, Hans-Jörgen; Hamsten, Anders; Hui, Jennie; Hveem, Kristian; Jöckel, Karl-Heinz; Kivimaki, Mika; Kuh, Diana; Laakso, Markku; Liu, Yongmei; März, Winfried; Munroe, Patricia B.; Njølstad, Inger; Oostra, Ben A.; Palmer, Colin N. A.; Pedersen, Nancy L.; Perola, Markus; Pérusse, Louis; Peters, Ulrike; Power, Chris; Quertermous, Thomas; Rauramaa, Rainer; Rivadeneira, Fernando; Saaristo, Timo E.; Saleheen, Danish; Sinisalo, Juha; Slagboom, P. Eline; Snieder, Harold; Spector, Tim D.; Thorsteinsdottir, Unnur; Stumvoll, Michael; Tuomilehto, Jaakko; Uitterlinden, André G.; Uusitupa, Matti; van der Harst, Pim; Veronesi, Giovanni; Walker, Mark; Wareham, Nicholas J.; Watkins, Hugh; Wichmann, H.-Erich; Abecasis, Goncalo R.; Assimes, Themistocles L.; Berndt, Sonja I.; Boehnke, Michael; Borecki, Ingrid B.; Deloukas, Panos; Franke, Lude; Frayling, Timothy M.; Groop, Leif C.; Hunter, David J.; Kaplan, Robert C.; O'Connell, Jeffrey R.; Qi, Lu; Schlessinger, David; Strachan, David P.; Stefansson, Kari; van Duijn, Cornelia M.; Willer, Cristen J.; Visscher, Peter M.; Yang, Jian; Hirschhorn, Joel N.; Zillikens, M. Carola; McCarthy, Mark I.; Speliotes, Elizabeth K.; North, Kari E.; Fox, Caroline S.; Barroso, Inês; Franks, Paul W.; Ingelsson, Erik; Heid, Iris M.; Loos, Ruth J. F.; Cupples, L. Adrienne; Morris, Andrew P.; Lindgren, Cecilia M.; Mohlke, Karen L.; Dastani, Zari; Timpson, Nicholas; Yuan, Xin; Henneman, Peter; Kizer, Jorge R.; Lyytikainen, Leo-Pekka; Fuchsberger, Christian; Small, Kerrin; Coassin, Stefan; Lohman, Kurt; Pankow, James S.; Uh, Hae-Won; Wu, Ying; Bidulescu, Aurelian; Rasmussen-Torvik, Laura J.; Greenwood, Celia M. T.; Ladouceur, Martin; Grimsby, Jonna; Manning, Alisa K.; Kooner, Jaspal; Mooser, Vincent E.; Kapur, Karen A.; Chambers, John; Frants, Rune; Willemsvan-vanDijk, Ko; Willems, Sara M.; Winkler, Thomas; Psaty, Bruce M.; Tracy, Russell P.; Brody, Jennifer; Chen, Ida; Viikari, Jorma; Kähönen, Mika; Evans, David M.; St Pourcain, Beate; Sattar, Naveed; Wood, Andy; Carlson, Olga D.; Egan, Josephine M.; van Heemst, Diana; Kedenko, Lyudmyla; Nuotio, Marja-Liisa; Loo, Britt-Marie; Harris, Tamara; Garcia, Melissa; Kanaya, Alka; Haun, Margot; Klopp, Norman; Wichmann, H. Erich; Katsareli, Efi; Couper, David J.; Duncan, Bruce B.; Kloppenburg, Margreet; Borja, Judith B.; Wilson, James G.; Musani, Solomon; Guo, Xiuqing; Semple, Robert; Teslovich, Tanya M.; Allison, Matthew A.; Redline, Susan; Buxbaum, Sarah G.; Meulenbelt, Ingrid; Ballantyne, Christie M.; Dedoussis, George V.; Hu, Frank B.; Paulweber, Bernhard; Spector, Timothy D.; Jula, Antti; Raitakari, Olli; Florez, Jose C.; Smith, George Davey; Siscovick, David S.; Kronenberg, Florian; van Duijn, Cornelia; Waterworth, Dawn M.; Meigs, James B.; Dupuis, Josee; Richards, John Brent; Willenborg, Christina; Thompson, John R.; Erdmann, Jeanette; Goldstein, Benjamin A.; König, Inke R.; Cazier, Jean-Baptiste; Johansson, Åsa; Hall, Alistair S.; Lee, Jong-Young; Esko, Tõnu; Grundberg, Elin; Havulinna, Aki S.; Ho, Weang K.; Hopewell, Jemma C.; Eriksson, Niclas; Lundmark, Per; Lyytikäinen, Leo-Pekka; Rafelt, Suzanne; Tikkanen, Emmi; van Zuydam, Natalie; Voight, Benjamin F.; Ziegler, Andreas; Altshuler, David; Balmforth, Anthony J.; Braund, Peter S.; Burgdorf, Christof; Cox, David; Dimitriou, Maria; Do, Ron; El Mokhtari, NourEddine; Fontanillas, Pierre; Groop, Leif; Hager, Jörg; Hallmans, Göran; Han, Bok-Ghee; Hunt, Sarah E.; Kang, Hyun M.; Kessler, Thorsten; Knowles, Joshua W.; Kolovou, Genovefa; Langford, Cordelia; Lokki, Marja-Liisa; Lundmark, Anders; Meisinger, Christa; Melander, Olle; Maouche, Seraya; Nikus, Kjell; Peden, John F.; Rayner, N. William; Rasheed, Asif; Rosinger, Silke; Rubin, Diana; Rumpf, Moritz P.; Schäfer, Arne; Sivananthan, Mohan; Stewart, Alexandre F. R.; Tan, Sian-Tsung; Thorgeirsson, Gudmundur; van der Schoot, C. Ellen; Wagner, Peter J.; Wells, George A.; Wild, Philipp S.; Yang, Tsun-Po; Basart, Hanneke; Boerwinkle, Eric; Brambilla, Paolo; Cambien, Francois; Cupples, Adrienne L.; Dehghan, Abbas; Diemert, Patrick; Epstein, Stephen E.; Evans, Alun; Ferrario, Marco M.; Gauguier, Dominique; Goodall, Alison H.; Gudnason, Villi; Hazen, Stanley L.; Holm, Hilma; Iribarren, Carlos; Jang, Yangsoo; Kim, Hyo-Soo; Laaksonen, Reijo; Lee, Ji-Young; Ouwehand, Willem H.; Parish, Sarah; Park, Jeong E.; Rader, Daniel J.; Schadt, Eric; Shah, Svati H.; Stark, Klaus; Trégouët, David-Alexandre; Virtamo, Jarmo; Wallentin, Lars; Wareham, Nicholas; Zimmermann, Martina E.; Nieminen, Markku S.; Hengstenberg, Christian; Sandhu, Manjinder S.; Pastinen, Tomi; Hovingh, G. Kees; Zalloua, Pierre A.; Siegbahn, Agneta; Schreiber, Stefan; Ripatti, Samuli; Blankenberg, Stefan S.; O'Donnell, Christopher; Reilly, Muredach P.; Collins, Rory; Kathiresan, Sekar; Roberts, Robert; Schunkert, Heribert; Pattaro, Cristian; Köttgen, Anna; Garnaas, Maija; Böger, Carsten A.; Chen, Ming-Huei; Tin, Adrienne; Taliun, Daniel; Li, Man; Gao, Xiaoyi; Gorski, Mathias; Yang, Qiong; Hundertmark, Claudia; Foster, Meredith C.; O'Seaghdha, Conall M.; Glazer, Nicole; Smith, Albert V.; Struchalin, Maksim; Li, Guo; Johnson, Andrew D.; Gierman, Hinco J.; Feitosa, Mary; Hwang, Shih-Jen; Atkinson, Elizabeth J.; Cornelis, Marilyn C.; Chouraki, Vincent; Holliday, Elizabeth G.; Sorice, Rossella; Kutalik, Zoltan; Deshmukh, Harshal; Ulivi, Sheila; Chu, Audrey Y.; Murgia, Federico; Trompet, Stella; Imboden, Medea; Kollerits, Barbara; Pistis, Giorgio; Launer, Lenore J.; Aspelund, Thor; Eiriksdottir, Gudny; Mitchell, Braxton D.; Schmidt, Helena; Cavalieri, Margherita; Rao, Madhumathi; de Andrade, Mariza; Turner, Stephen T.; Ding, Jingzhong; Andrews, Jeanette S.; Freedman, Barry I.; Döring, Angela; Wichmann, H. -Erich; Kolcic, Ivana; Zemunik, Tatijana; Boban, Mladen; Minelli, Cosetta; Wheeler, Heather E.; Igl, Wilmar; Zaboli, Ghazal; Wild, Sarah H.; Wright, Alan F.; Ellinghaus, David; Nöthlings, Ute; Jacobs, Gunnar; Biffar, Reiner; Endlich, Karlhans; Ernst, Florian; Kroemer, Heyo K.; Nauck, Matthias; Stracke, Sylvia; Völzke, Henry; Uitterlinden, Andre G.; Aulchenko, Yurii S.; Polasek, Ozren; Hastie, Nick; Vitart, Veronique; Helmer, Catherine; Wang, Jie Jin; Ruggiero, Daniela; Bergmann, Sven; Nikopensius, Tiit; Province, Michael; Ketkar, Shamika; Colhoun, Helen; Doney, Alex; Robino, Antonietta; Giulianini, Franco; Krämer, Bernhard K.; Portas, Laura; Ford, Ian; Buckley, Brendan M.; Adam, Martin; Thun, Gian-Andri; Sala, Cinzia; Metzger, Marie; Mitchell, Paul; Ciullo, Marina; Kim, Stuart K.; Palmer, Colin; Gasparini, Paolo; Pirastu, Mario; Jukema, J. Wouter; Probst-Hensch, Nicole M.; Toniolo, Daniela; Coresh, Josef; Schmidt, Reinhold; Borecki, Ingrid; Kardia, Sharon L. R.; Curhan, Gary C.; Gyllensten, Ulf; Franke, Andre; Rettig, Rainer; Witteman, Jacqueline C. M.; Ridker, Paul; Parsa, Afshin; Goessling, Wolfram; Kao, W. H. Linda; de Boer, Ian H.; Glazer, Nicole L.; Peralta, Carmen A.; Zhao, Jing Hua; Akylbekova, Ermeg; Kramer, Holly; Arking, Dan E.; Franceschini, Nora; Egan, Josephine; Hernandez, Dena; Reilly, Muredach; Townsend, Raymond R.; Lumley, Thomas; Kestenbaum, Bryan; Haritunians, Talin; Waeber, Gerard; Mooser, Vincent; Waterworth, Dawn; Lu, Xiaoning; Leak, Tennille S.; Aasarød, Knut; Skorpen, Frank; Baumert, Jens; Devuyst, Olivier; Mychaleckyj, Josyf C.; Hastie, Nicholas D.; Curhan, Gary; Hallan, Stein; Navis, Gerjan; Shlipak, Michael G.; Bull, Shelley B.; Paterson, Andrew D.; Rotter, Jerome I.; Beckmann, Jacques S.; Dreisbach, Albert W.; Kao, W. H. L.; Styrkarsdottir, Unnur; Evangelou, Evangelos; Hsu, Yi-Hsiang; Duncan, Emma L.; Ntzani, Evangelia E.; Oei, Ling; Albagha, Omar M. E.; Kemp, John P.; Koller, Daniel L.; Minster, Ryan L.; Vandenput, Liesbeth; Willner, Dana; Xiao, Su-Mei; Yerges-Armstrong, Laura M.; Zheng, Hou-Feng; Alonso, Nerea; Eriksson, Joel; Kammerer, Candace M.; Kaptoge, Stephen K.; Leo, Paul J.; Wilson, Scott G.; Aalto, Ville; Alen, Markku; Aragaki, Aaron K.; Center, Jacqueline R.; Dailiana, Zoe; Duggan, David J.; Garcia-Giralt, Natàlia; Giroux, Sylvie; Hocking, Lynne J.; Husted, Lise Bjerre; Jameson, Karen A.; Khusainova, Rita; Kim, Ghi Su; Koromila, Theodora; Kruk, Marcin; Laaksonen, Marika; LaCroix, Andrea Z.; Lee, Seung Hun; Leung, Ping C.; Lewis, Joshua R.; Masi, Laura; Mencej-Bedrac, Simona; Nguyen, Tuan V.; Nogues, Xavier; Patel, Millan S.; Prezelj, Janez; Scollen, Serena; Siggeirsdottir, Kristin; Svensson, Olle; Trummer, Olivia; van Schoor, Natasja M.; Woo, Jean; Zhu, Kun; Balcells, Susana; Brandi, Maria Luisa; Cheng, Sulin; Christiansen, Claus; Cooper, Cyrus; Frost, Morten; Goltzman, David; González-Macías, Jesús; Karlsson, Magnus; Khusnutdinova, Elza; Koh, Jung-Min; Kollia, Panagoula; Langdahl, Bente Lomholt; Leslie, William D.; Lips, Paul; Ljunggren, Östen; Lorenc, Roman S.; Marc, Janja; Mellström, Dan; Obermayer-Pietsch, Barbara; Olmos, José M.; Pettersson-Kymmer, Ulrika; Reid, David M.; Riancho, José A.; Rousseau, François; Tang, Nelson L. S.; Urreizti, Roser; van Hul, Wim; Zarrabeitia, María T.; Castano-Betancourt, Martha; Herrera, Lizbeth; Ingvarsson, Thorvaldur; Johannsdottir, Hrefna; Kwan, Tony; Li, Rui; Luben, Robert; Medina-Gómez, Carolina; Palsson, Stefan Th; Reppe, Sjur; Sigurdsson, Gunnar; van Meurs, Joyce B. J.; Verlaan, Dominique; Williams, Frances M. K.; Zhou, Yanhua; Gautvik, Kaare M.; Raychaudhuri, Soumya; Cauley, Jane A.; Clark, Graeme R.; Cummings, Steven R.; Danoy, Patrick; Dennison, Elaine M.; Eastell, Richard; Eisman, John A.; Jackson, Rebecca D.; Jones, Graeme; Khaw, Kay-Tee; McCloskey, Eugene; Nandakumar, Kannabiran; Nicholson, Geoffrey C.; Peacock, Munro; Pols, Huibert A. P.; Prince, Richard L.; Reid, Ian R.; Robbins, John; Sambrook, Philip N.; Sham, Pak Chung; Tylavsky, Frances A.; Wareham, Nick J.; Econs, Michael J.; Kung, Annie Wai Chee; Reeve, Jonathan; Streeten, Elizabeth A.; Karasik, David; Richards, J. Brent; Brown, Matthew A.; Ralston, Stuart H.; Ioannidis, John P. A.; Kiel, Douglas P.; McKnight, Amy Jayne; Forsblom, Carol; Isakova, Tamara; McKay, Gareth J.; Williams, Winfred W.; Sadlier, Denise M.; Mäkinen, Ville-Petteri; Swan, Elizabeth J.; Palmer, Cameron; Boright, Andrew P.; Ahlqvist, Emma; Deshmukh, Harshal A.; Keller, Benjamin J.; Huang, Huateng; Ahola, Aila; Fagerholm, Emma; Gordin, Daniel; Harjutsalo, Valma; He, Bing; Heikkilä, Outi; Hietala, Kustaa; Kytö, Janne; Lahermo, Päivi; Lehto, Markku; Österholm, Anne-May; Parkkonen, Maija; Pitkäniemi, Janne; Rosengård-Bärlund, Milla; Saraheimo, Markku; Sarti, Cinzia; Söderlund, Jenny; Soro-Paavonen, Aino; Syreeni, Anna; Thorn, Lena M.; Tikkanen, Heikki; Tolonen, Nina; Tryggvason, Karl; Wadén, Johan; Gill, Geoffrey V.; Prior, Sarah; Guiducci, Candace; Mirel, Daniel B.; Taylor, Andrew; Hosseini, Mohsen; Parving, Hans-Henrik; Rossing, Peter; Tarnow, Lise; Ladenvall, Claes; Alhenc-Gelas, François; Lefebvre, Pierre; Rigalleau, Vincent; Roussel, Ronan; Tregouet, David-Alexandre; Maestroni, Anna; Maestroni, Silvia; Falhammar, Henrik; Gu, Tianwei; Möllsten, Anna; Cimponeriu, Dan; Mihai, Ioana; Mota, Maria; Mota, Eugen; Serafinceanu, Cristian; Stavarachi, Monica; Hanson, Robert L.; Nelson, Robert G.; Kretzler, Matthias; Colhoun, Helen M.; Panduru, Nicolae Mircea; Gu, Harvest F.; Brismar, Kerstin; Zerbini, Gianpaolo; Hadjadj, Samy; Marre, Michel; Lajer, Maria; Waggott, Daryl; Savage, David A.; Bain, Stephen C.; Martin, Finian; Godson, Catherine; Groop, Per-Henrik; Maxwell, Alexander P.; Sengupta, Sebanti; Peloso, Gina M.; Ganna, Andrea; Mora, Samia; Chang, Hsing-Yi; Demirkan, Ayşe; den Hertog, Heleen M.; Donnelly, Louise A.; Fraser, Ross M.; Freitag, Daniel F.; Gurdasani, Deepti; Kaakinen, Marika; Kettunen, Johannes; Li, Xiaohui; Montasser, May E.; Petersen, Ann-Kristin; Saxena, Richa; Service, Susan K.; Shah, Sonia; Sidore, Carlo; Surakka, Ida; van den Herik, Evita G.; Volcik, Kelly A.; Asiki, Gershim; Been, Latonya F.; Bolton, Jennifer L.; Bonnycastle, Lori L.; Burnett, Mary S.; Cesana, Giancarlo; Elliott, Paul; Eyjolfsson, Gudmundur Ingi; Goodarzi, Mark O.; Gravito, Martha L.; Hartikainen, Anna-Liisa; Hung, Yi-Jen; Jones, Michelle R.; Kaleebu, Pontiano; Kastelein, John J. P.; Kim, Eric; Komulainen, Pirjo; Lin, Shih-Yi; Müller, Gabrielle; Nieminen, Tuomo V. M.; Nsubuga, Rebecca N.; Olafsson, Isleifur; Palotie, Aarno; Papamarkou, Theodore; Pomilla, Cristina; Pouta, Anneli; Ruokonen, Aimo; Samani, Nilesh; Seeley, Janet; Silander, Kaisa; Tiret, Laurence; van Pelt, L. Joost; Wainwright, Nicholas; Wijmenga, Cisca; Willemsen, Gonneke; Young, Elizabeth H.; Bennett, Franklyn; Boomsma, Dorret I.; Bovet, Pascal; Chen, Yii-Der Ida; Feranil, Alan B.; Freimer, Nelson B.; Hingorani, Aroon; Hsiung, Chao Agnes; Järvelin, Marjo-Riitta; Kesäniemi, Antero; Koudstaal, Peter J.; Krauss, Ronald M.; Kyvik, Kirsten O.; Martin, Nicholas G.; Meneton, Pierre; Moilanen, Leena; Price, Jackie F.; Sanghera, Dharambir K.; Sheu, Wayne H.-H.; Whitfield, John B.; Wolffenbuttel, Bruce H. R.; Ordovas, Jose M.; Rich, Stephen S.; Abecasis, Gonçalo R.; Abecasis, Gonçalo; Caulfield, Mark; Chasman, Dan; Ehret, Georg; Johnson, Andrew; Johnson, Louise; Larson, Martin; Levy, Daniel; Munroe, Patricia; Newton-Cheh, Christopher; O'Reilly, Paul; Palmas, Walter; Psaty, Bruce; Rice, Kenneth; Smith, Albert; Snider, Harold; Tobin, Martin; Verwoert, Germaine; Rice, Kenneth M.; Tobin, Martin D.; Verwoert, Germaine C.; Pihur, Vasyl; O'Reilly, Paul F.; Launer, Lenore; Aulchenko, Yurii; Heath, Simon; Sõber, Siim; Arora, Pankaj; Zhang, Feng; Lucas, Gavin; Milaneschi, Yuri; Parker, Alex N.; Fava, Cristiano; Fox, Ervin R.; Go, Min Jin; Kao, Wen Hong Linda; Sjögren, Marketa; Vinay, D. G.; Alexander, Myriam; Tabara, Yasuharu; Shaw-Hawkins, Sue; Whincup, Peter H.; Shi, Gang; Tayo, Bamidele; Seielstad, Mark; Sim, Xueling; Nguyen, Khanh-Dung Hoang; Matullo, Giuseppe; Gaunt, Tom R.; Onland-Moret, N. Charlotte; Cooper, Matthew N.; Platou, Carl G. P.; Org, Elin; Hardy, Rebecca; Dahgam, Santosh; Palmen, Jutta; Kuznetsova, Tatiana; Uiterwaal, Cuno S. P. M.; Adeyemo, Adebowale; Ludwig, Barbara; Tomaszewski, Maciej; Tzoulaki, Ioanna; Palmer, Nicholette D.; Chang, Yen-Pei C.; Steinle, Nanette I.; Grobbee, Diederick E.; Kardia, Sharon L.; Morrison, Alanna C.; Najjar, Samer; Hadley, David; Connell, John M.; Day, Ian N. M.; Lawlor, Debbie A.; Beilby, John P.; Lawrence, Robert W.; Ongen, Halit; Li, Yali; Young, J. H.; Bis, Joshua C.; Bolton, Judith A. Hoffman; Chaturvedi, Nish; Islam, Muhammad; Jafar, Tazeen H.; Kulkarni, Smita R.; Grässler, Jürgen; Howard, Philip; Guarrera, Simonetta; Ricceri, Fulvio; Emilsson, Valur; Plump, Andrew; Weder, Alan B.; Sun, Yan V.; Scott, Laura J.; Peltonen, Leena; Vartiainen, Erkki; Brand, Stefan-Martin; Wang, Thomas J.; Burton, Paul R.; Artigas, Maria Soler; Dong, Yanbin; Wang, Xiaoling; Zhu, Haidong; Lohman, Kurt K.; Rudock, Megan E.; Heckbert, Susan R.; Smith, Nicholas L.; Wiggins, Kerri L.; Doumatey, Ayo; Shriner, Daniel; Veldre, Gudrun; Viigimaa, Margus; Kinra, Sanjay; Prabhakaran, Dorairajan; Tripathy, Vikal; Langefeld, Carl D.; Rosengren, Annika; Thelle, Dag S.; Corsi, Anna Maria; Singleton, Andrew; Hilton, Gina; Salako, Tunde; Iwai, Naoharu; Kita, Yoshikuni; Ogihara, Toshio; Ohkubo, Takayoshi; Okamura, Tomonori; Ueshima, Hirotsugu; Umemura, Satoshi; Eyheramendy, Susana; Meitinger, Thomas; Cho, Yoon Shin; Kim, Hyung-Lae; Scott, James; Sehmi, Joban S.; Hedblad, Bo; Nilsson, Peter; Stanèáková, Alena; Raffel, Leslie J.; Yao, Jie; O'Donnell, Chris; Schwartz, Stephen M.; Ikram, M. Arfan; Longstreth, W. T.; Mosley, Thomas H.; Seshadri, Sudha; Shrine, Nick R. G.; Wain, Louise V.; Morken, Mario A.; Laitinen, Jaana; Zitting, Paavo; Cooper, Jackie A.; van Gilst, Wiek H.; Janipalli, Charles S.; Mani, K. Radha; Yajnik, Chittaranjan S.; Mattace-Raso, Francesco U. S.; Lakatta, Edward G.; Orru, Marco; Scuteri, Angelo; Ala-Korpela, Mika; Kangas, Antti J.; Soininen, Pasi; Tukiainen, Taru; Würtz, Peter; Ong, Rick Twee-Hee; Galan, Pilar; Hercberg, Serge; Lathrop, Mark; Zelenika, Diana; Zhai, Guangju; Meschia, James F.; Sharma, Pankaj; Terzic, Janos; Kumar, M. J. Kranthi; Denniff, Matthew; Zukowska-Szczechowska, Ewa; Wagenknecht, Lynne E.; Fowkes, F. Gerald R.; Charchar, Fadi J.; Rotimi, Charles; Bots, Michiel L.; Brand, Eva; Talmud, Philippa J.; Nyberg, Fredrik; Laan, Maris; van der Schouw, Yvonne T.; Casas, Juan P.; Vineis, Paolo; Ganesh, Santhi K.; Wong, Tien Y.; Tai, E. Shyong; Rao, Dabeeru C.; Morris, Richard W.; Dominiczak, Anna F.; Marmot, Michael G.; Miki, Tetsuro; Chandak, Giriraj R.; Zhu, Xiaofeng; Gyllensten, Ulf B.; Elosua, Roberto; Soranzo, Nicole; Sijbrands, Eric J. G.; Uda, Manuela; Vasan, Ramachandran S.; Larson, Martin G.; Anderson, Carl A.; Gordon, Scott D.; Guo, Qun; Henders, Anjali K.; Lambert, Ann; Lee, Sang Hong; Kraft, Peter; Kennedy, Stephen H.; Macgregor, Stuart; Missmer, Stacey A.; Painter, Jodie N.; Roseman, Fenella; Treloar, Susan A.; Wallace, Leanne; Alizadeh, Behrooz Z.; de Boer, Rudolf A.; Boezen, H. Marike; van der Klauw, Melanie M.; Ormel, Johan; Postma, Dirkje S.; Rosmalen, Judith G. M.; Slaets, Joris P.; Lagou, Vasiliki; Welch, Ryan P.; Wheeler, Eleanor; Rehnberg, Emil; Lecoeur, Cecile; Johnson, Paul C. D.; Hottenga, Jouke-Jan; Salo, Perttu; Timpson, Nicholas J.; Bielak, Lawrence F.; Zhao, Wei; Horikoshi, Momoko; Navarro, Pau; Esko, Tönu; Chen, Han; Robertson, Neil; Rybin, Denis; Kang, Hyun Min; Song, Kijoung; An, Ping; Marullo, Letizia; Jansen, Hanneke; Edkins, Sarah; Varga, Tibor V.; Oksa, Heikki; Antonella, Mulas; Kong, Augustine; Herder, Christian; Antti, Jula; Miljkovic, Iva; Atalay, Mustafa; Kiess, Wieland; Smit, Johannes H.; Campbell, Susan; Fowkes, Gerard R.; Rathmann, Wolfgang; Maerz, Winfried; Province, Michael A.; Watanabe, Richard M.; Toenjes, Anke; Peyser, Patricia A.; Körner, Antje; Dupuis, Josée; Cucca, Francesco; Balkau, Beverley; Bouatia-Naji, Nabila; Ahmadi, Kourosh R.; Ainali, Chrysanthi; Bataille, Veronique; Bell, Jordana T.; Buil, Alfonso; Dermitzakis, Emmanouil T.; Dimas, Antigone S.; Durbin, Richard; Glass, Daniel; Hassanali, Neelam; Ingle, Catherine; Knowles, David; Krestyaninova, Maria; Lowe, Christopher E.; Meduri, Eshwar; di Meglio, Paola; Montgomery, Stephen B.; Nestle, Frank O.; Nica, Alexandra C.; Nisbet, James; O'Rahilly, Stephen; Parts, Leopold; Potter, Simon; Sekowska, Magdalena; Shin, So-Youn; Small, Kerrin S.; Surdulescu, Gabriela; Travers, Mary E.; Tsaprouni, Loukia; Tsoka, Sophia; Wilk, Alicja; Matise, Tara; Buyske, Steve; Higashio, Julia; Williams, Rasheeda; Nato, Andrew; Ambite, Jose Luis; Manolio, Teri; Hindorff, Lucia; Heiss, Gerardo; Taylor, Kira; Avery, Christy; Graff, Misa; Lin, Danyu; Quibrera, Miguel; Cochran, Barbara; Kao, Linda; Umans, Jason; Cole, Shelley; MacCluer, Jean; Person, Sharina; Pankow, James; Gross, Myron; Fornage, Myriam; Durda, Peter; Jenny, Nancy; Patsy, Bruce; Arnold, Alice; Buzkova, Petra; Crawford, Dana; Haines, Jonathan; Murdock, Deborah; Glenn, Kim; Brown-Gentry, Kristin; Thornton-Wells, Tricia; Dumitrescu, Logan; Jeff, Janina; Bush, William S.; Mitchell, Sabrina L.; Goodloe, Robert; Wilson, Sarah; Boston, Jonathan; Malinowski, Jennifer; Restrepo, Nicole; Oetjens, Matthew; Fowke, Jay; Zheng, Wei; Spencer, Kylee; Ritchie, Marylyn; Pendergrass, Sarah; Le Marchand, Loïc; Wilkens, Lynne; Park, Lani; Tiirikainen, Maarit; Kolonel, Laurence; Lim, Unhee; Cheng, Iona; Wang, Hansong; Shohet, Ralph; Haiman, Christopher; Stram, Daniel; Henderson, Brian; Monroe, Kristine; Schumacher, Fredrick; Anderson, Garnet; Carlson, Chris; Prentice, Ross; LaCroix, Andrea; Wu, Chunyuan; Carty, Cara; Gong, Jian; Rosse, Stephanie; Young, Alicia; Haessler, Jeff; Kocarnik, Jonathan; Lin, Yi; Jackson, Rebecca; Duggan, David; Kuller, Lew; He, Chunyan; Sulem, Patrick; Barbalic, Maja; Broer, Linda; Byrne, Enda M.; Gudbjartsson, Daniel F.; McArdle, Patick F.; Porcu, Eleonora; van Wingerden, Sophie; Zhuang, Wei V.; Lauc, Lovorka Barac; Broekmans, Frank J.; Burri, Andrea; Chanock, Stephen J.; Chen, Constance; Corre, Tanguy; Coviello, Andrea D.; D'Adamo, Pio; Davies, Gail; Deary, Ian J.; Dedoussis, George V. Z.; Deloukas, Panagiotis; Ebrahim, Shah; Fauser, Bart C. J. M.; Ferreli, Liana; Folsom, Aaron R.; Hall, Per; Hankinson, Susan E.; Hass, Merli; Heath, Andrew C.; Janssens, A. Cecile J. W.; Keyzer, Jules; Lahti, Jari; Lai, Sandra; Laisk, Triin; Laven, Joop S. E.; Liu, Jianjun; Lopez, Lorna M.; Louwers, Yvonne V.; Marongiu, Mara; Klaric, Irena Martinovic; Masciullo, Corrado; Medland, Sarah E.; Melzer, David; Newman, Anne B.; Paré, Guillaume; Peeters, Petra H. M.; Plump, Andrew S.; Pop, Victor J. M.; Räikkönen, Katri; Salumets, Andres; Smith, Jennifer A.; Stacey, Simon N.; Starr, John M.; Stathopoulou, Maria G.; Tenesa, Albert; Tryggvadottir, Laufey; Tsui, Kim; van Dam, Rob M.; van Gils, Carla H.; van Nierop, Peter; Vink, Jacqueline M.; Voorhuis, Marlies; Waeber, Gérard; Wallaschofski, Henri; Widen, Elisabeth; Wijnands-van Gent, Colette J. M.; Zgaga, Lina; Zygmunt, Marek; Arnold, Alice M.; Buring, Julie E.; Crisponi, Laura; Demerath, Ellen W.; Murray, Anna; Visser, Jenny A.; Lunetta, Kathryn L.; Elks, Cathy E.; Cousminer, Diana L.; Feenstra, Bjarke; Lin, Peng; McArdle, Patrick F.; van Wingerden, Sophie W.; Smith, Erin N.; Ulivi, Shelia; Warrington, Nicole M.; Alavere, Helen; Barroso, Ines; Berenson, Gerald S.; Blackburn, Hannah; Busonero, Fabio; Chen, Wei; Couper, David; Easton, Douglas F.; Eriksson, Johan; Foroud, Tatiana; Geller, Frank; Hernandez, Dena G.; Kilpeläinen, Tuomas O.; Li, Shengxu; Melbye, Mads; Murray, Jeffrey C.; Murray, Sarah S.; Ness, Andrew R.; Northstone, Kate; Pennell, Craig E.; Pharoah, Paul; Rafnar, Thorunn; Rice, John P.; Ring, Susan M.; Schork, Nicholas J.; Segrè, Ayellet V.; Sovio, Ulla; Srinivasan, Sathanur R.; Tammesoo, Mar-Liis; Tyrer, Jonathon; van Meurs, Joyve B. J.; Weedon, Michael N.; Young, Lauren; Zhuang, Wei Vivian; Bierut, Laura J.; Boyd, Heather A.

    2015-01-01

    Body fat distribution is a heritable trait and a well-established predictor of adverse metabolic outcomes, independent of overall adiposity. To increase our understanding of the genetic basis of body fat distribution and its molecular links to cardiometabolic traits, here we conduct genome-wide

  6. Hybrid Deterministic Views about Genes in Biology Textbooks: A Key Problem in Genetics Teaching

    Science.gov (United States)

    dos Santos, Vanessa Carvalho; Joaquim, Leyla Mariane; El-Hani, Charbel Nino

    2012-01-01

    A major source of difficulties in promoting students' understanding of genetics lies in the presentation of gene concepts and models in an inconsistent and largely ahistorical manner, merely amalgamated in hybrid views, as if they constituted linear developments, instead of being built for different purposes and employed in specific contexts. In…

  7. Anatomy and Cell Biology of Autism Spectrum Disorder : Lessons from Human Genetics

    NARCIS (Netherlands)

    Kleijer, Kristel T E; Huguet, Guillaume; Tastet, Julie; Bourgeron, Thomas; Burbach, J P H

    2017-01-01

    Until recently autism spectrum disorder (ASD) was regarded as a neurodevelopmental condition with unknown causes and pathogenesis. In the footsteps of the revolution of genome technologies and genetics, and with its high degree of heritability, ASD became the first neuropsychiatric disorder for

  8. Enhancing the Internationalisation of Distance Education in the Biological Sciences: The DUNE Project and Genetic Engineering.

    Science.gov (United States)

    Leach, C. K.; And Others

    1997-01-01

    Describes the Distance Educational Network of Europe (DUNE) project that aims at enhancing the development of distance education in an international context. Highlights issues relating to the delivery of distance-learning courses in a transnational forum. Describes the genetic engineering course that aims at explaining the core techniques of…

  9. Shared genetic origin of asthma, hay fever and eczema elucidates allergic disease biology

    NARCIS (Netherlands)

    Ferreira, Manuel A; Vonk, Judith M; Baurecht, Hansjörg; Marenholz, Ingo; Tian, Chao; Hoffman, Joshua D; Helmer, Quinta; Tillander, Annika; Ullemar, Vilhelmina; van Dongen, Jenny; Lu, Yi; Rüschendorf, Franz; Esparza-Gordillo, Jorge; Medway, Chris W; Mountjoy, Edward; Burrows, Kimberley; Hummel, Oliver; Grosche, Sarah; Brumpton, Ben M; Witte, John S; Hottenga, Jouke-Jan; Willemsen, Gonneke; Zheng, Jie; Rodríguez, Elke; Hotze, Melanie; Franke, Andre; Revez, Joana A; Beesley, Jonathan; Matheson, Melanie C; Dharmage, Shyamali C; Bain, Lisa M; Fritsche, Lars G; Gabrielsen, Maiken E; Balliu, Brunilda; Nielsen, Jonas B; Zhou, Wei; Hveem, Kristian; Langhammer, Arnulf; Holmen, Oddgeir L; Løset, Mari; Abecasis, Gonçalo R; Willer, Cristen J; Arnold, Andreas; Homuth, Georg; Schmidt, Carsten O; Thompson, Philip J; Martin, Nicholas G; Duffy, David L; Novak, Natalija; Boomsma, Dorret I

    2017-01-01

    Asthma, hay fever (or allergic rhinitis) and eczema (or atopic dermatitis) often coexist in the same individuals, partly because of a shared genetic origin. To identify shared risk variants, we performed a genome-wide association study (GWAS; n = 360,838) of a broad allergic disease phenotype that

  10. New genetic loci link adipose and insulin biology to body fat distribution

    DEFF Research Database (Denmark)

    Shungin, Dmitry; Winkler, Thomas W; Croteau-Chonka, Damien C.

    2015-01-01

    Body fat distribution is a heritable trait and a well-established predictor of adverse metabolic outcomes, independent of overall adiposity. To increase our understanding of the genetic basis of body fat distribution and its molecular links to cardiometabolic traits, here we conduct genome...

  11. Telemedicine vs in-person cancer genetic counseling: measuring satisfaction and conducting economic analysis

    Directory of Open Access Journals (Sweden)

    Datta SK

    2011-05-01

    Full Text Available Santanu K Datta1,2, Adam H Buchanan3, Gail P Hollowell4, Henry F Beresford5, Paul K Marcom1,3, Martha B Adams1,61Department of Medicine, Duke University; 2Center for Health Services Research in Primary Care, Durham VA Medical Center; 3Duke Cancer Institute, Duke University; 4Department of Biology, North Carolina Central University; 5School of Nursing, Duke University; 6Department of Community and Family Medicine, Duke University, Durham, NC, USAAbstract: Cancer genetic counseling (CGC provides benefits and is the standard of care for individuals at increased risk of having a hereditary cancer syndrome. CGC services are typically centered in urban medical centers, leading to limited access to counseling in rural communities. Telemedicine has the potential to improve access to CGC, increase efficient use of genetic counselors, and improve patient care in rural communities. For telemedicine CGC to gain wide acceptance and implementation it needs to be shown that individuals who receive telemedicine CGC have high satisfaction levels and that CGC is cost-effective; however little research has been conducted to measure the impact of telemedicine CGC. This paper describes the design and methodology of a randomized controlled trial comparing telemedicine with in-person CGC. Measurement of patient satisfaction and effectiveness outcomes are described, as is measurement of costs that are included in an economic analysis. Study design and methodologies used are presented as a contribution to future comparative effectiveness investigations in the telemedicine genetic counseling field.Keywords: cancer genetics, genetic counseling, rural health services, telemedicine, satisfaction, cost

  12. Analysis of conditional genetic effects and variance components in developmental genetics.

    Science.gov (United States)

    Zhu, J

    1995-12-01

    A genetic model with additive-dominance effects and genotype x environment interactions is presented for quantitative traits with time-dependent measures. The genetic model for phenotypic means at time t conditional on phenotypic means measured at previous time (t-1) is defined. Statistical methods are proposed for analyzing conditional genetic effects and conditional genetic variance components. Conditional variances can be estimated by minimum norm quadratic unbiased estimation (MINQUE) method. An adjusted unbiased prediction (AUP) procedure is suggested for predicting conditional genetic effects. A worked example from cotton fruiting data is given for comparison of unconditional and conditional genetic variances and additive effects.

  13. Analysis of genetic variability in the Czech Dachshund population using microsatellite markers

    Czech Academy of Sciences Publication Activity Database

    Přibáňová, M.; Horák, Pavel; Schröffelová, D.; Urban, T.; Bechyňová, Renata; Musilová, L.

    2009-01-01

    Roč. 126, - (2009), s. 311-318 ISSN 0931-2668 R&D Projects: GA AV ČR 1QS500450578; GA ČR GD523/03/H076 Institutional research plan: CEZ:AV0Z50450515 Keywords : dachshund * dog * genetic variability * microsatellite Subject RIV: EB - Genetics ; Molecular Biology Impact factor: 1.706, year: 2009

  14. Teaching Genetics in Secondary Classrooms: A Linguistic Analysis of Teachers' Talk about Proteins

    Science.gov (United States)

    Thörne, Karin; Gericke, Niklas

    2014-01-01

    This study investigates Swedish biology teachers' inclusion of proteins when teaching genetics in grade nine (students 15-16 years old). For some years, there has been a call to give attention to proteins when teaching genetics as a means of linking the concepts "gene" and "trait". Students are known to have problems with this…

  15. Genetic analysis of the heparan modification network in Caenorhabditis elegans.

    Science.gov (United States)

    Townley, Robert A; Bülow, Hannes E

    2011-05-13

    Heparan sulfates (HS) are highly modified sugar polymers in multicellular organisms that function in cell adhesion and cellular responses to protein signaling. Functionally distinct, cell type-dependent HS modification patterns arise as the result of a conserved network of enzymes that catalyze deacetylations, sulfations, and epimerizations in specific positions of the sugar residues. To understand the genetic interactions of the enzymes during the HS modification process, we have measured the composition of HS purified from mutant strains of Caenorhabditis elegans. From these measurements we have developed a genetic network model of HS modification. We find the interactions to be highly recursive positive feed-forward and negative feedback loops. Our genetic analyses show that the HS C-5 epimerase hse-5, the HS 2-O-sulfotransferase hst-2, or the HS 6-O-sulfotransferase hst-6 inhibit N-sulfation. In contrast, hse-5 stimulates both 2-O- and 6-O-sulfation and, hst-2 and hst-6 inhibit 6-O- and 2-O-sulfation, respectively. The effects of hst-2 and hst-6 on N-sulfation, 6-O-sulfation, and 2-O-sulfation appear largely dependent on hse-5 function. This core of regulatory interactions is further modulated by 6-O-endosulfatase activity (sul-1). 47% of all 6-O-sulfates get removed from HS and this editing process is dependent on hst-2, thereby providing additional negative feedback between 2-O- and 6-O-sulfation. These findings suggest that the modification patterns are highly sensitive to the relative composition of the HS modification enzymes. Our comprehensive genetic analysis forms the basis of understanding the HS modification network in metazoans.

  16. Genetic Analysis of the Heparan Modification Network in Caenorhabditis elegans*

    Science.gov (United States)

    Townley, Robert A.; Bülow, Hannes E.

    2011-01-01

    Heparan sulfates (HS) are highly modified sugar polymers in multicellular organisms that function in cell adhesion and cellular responses to protein signaling. Functionally distinct, cell type-dependent HS modification patterns arise as the result of a conserved network of enzymes that catalyze deacetylations, sulfations, and epimerizations in specific positions of the sugar residues. To understand the genetic interactions of the enzymes during the HS modification process, we have measured the composition of HS purified from mutant strains of Caenorhabditis elegans. From these measurements we have developed a genetic network model of HS modification. We find the interactions to be highly recursive positive feed-forward and negative feedback loops. Our genetic analyses show that the HS C-5 epimerase hse-5, the HS 2-O-sulfotransferase hst-2, or the HS 6-O-sulfotransferase hst-6 inhibit N-sulfation. In contrast, hse-5 stimulates both 2-O- and 6-O-sulfation and, hst-2 and hst-6 inhibit 6-O- and 2-O-sulfation, respectively. The effects of hst-2 and hst-6 on N-sulfation, 6-O-sulfation, and 2-O-sulfation appear largely dependent on hse-5 function. This core of regulatory interactions is further modulated by 6-O-endosulfatase activity (sul-1). 47% of all 6-O-sulfates get removed from HS and this editing process is dependent on hst-2, thereby providing additional negative feedback between 2-O- and 6-O-sulfation. These findings suggest that the modification patterns are highly sensitive to the relative composition of the HS modification enzymes. Our comprehensive genetic analysis forms the basis of understanding the HS modification network in metazoans. PMID:21454666

  17. Population genetic analysis of Enterocytozoon bieneusi in humans.

    Science.gov (United States)

    Li, Wei; Cama, Vitaliano; Feng, Yaoyu; Gilman, Robert H; Bern, Caryn; Zhang, Xichen; Xiao, Lihua

    2012-01-01

    Genotyping based on sequence analysis of the ribosomal internal transcribed spacer has revealed significant genetic diversity in Enterocytozoonbieneusi. Thus far, the population genetics of E. bieneusi and its significance in the epidemiology of microsporidiosis have not been examined. In this study, a multilocus sequence typing of E. bieneusi in AIDS patients in Lima, Peru was conducted, using 72 specimens previously genotyped as A, D, IV, EbpC, WL11, Peru7, Peru8, Peru10 and Peru11 at the internal transcribed spacer locus. Altogether, 39 multilocus genotypes were identified among the 72 specimens. The observation of strong intragenic linkage disequilibria and limited genetic recombination among markers were indicative of an overall clonal population structure of E. bieneusi. Measures of pair-wise intergenic linkage disequilibria and a standardised index of association (IAS) based on allelic profile data further supported this conclusion. Both sequence-based and allelic profile-based phylogenetic analyses showed the presence of two genetically isolated groups in the study population, one (group 1) containing isolates of the anthroponotic internal transcribed spacer genotype A, and the other (group 2) containing isolates of multiple internal transcribed spacer genotypes (mainly genotypes D and IV) with zoonotic potential. The measurement of linkage disequilibria and recombination indicated group 2 had a clonal population structure, whereas group 1 had an epidemic population structure. The formation of the two sub-populations was confirmed by STRUCTURE and Wright's fixation index (FST) analyses. The data highlight the power of MLST in understanding the epidemiology of E. bieneusi. Published by Elsevier Ltd.

  18. DATE analysis: A general theory of biological change applied to microarray data.

    Science.gov (United States)

    Rasnick, David

    2009-01-01

    In contrast to conventional data mining, which searches for specific subsets of genes (extensive variables) to correlate with specific phenotypes, DATE analysis correlates intensive state variables calculated from the same datasets. At the heart of DATE analysis are two biological equations of state not dependent on genetic pathways. This result distinguishes DATE analysis from other bioinformatics approaches. The dimensionless state variable F quantifies the relative overall cellular activity of test cells compared to well-chosen reference cells. The variable pi(i) is the fold-change in the expression of the ith gene of test cells relative to reference. It is the fraction phi of the genome undergoing differential expression-not the magnitude pi-that controls biological change. The state variable phi is equivalent to the control strength of metabolic control analysis. For tractability, DATE analysis assumes a linear system of enzyme-connected networks and exploits the small average contribution of each cellular component. This approach was validated by reproducible values of the state variables F, RNA index, and phi calculated from random subsets of transcript microarray data. Using published microarray data, F, RNA index, and phi were correlated with: (1) the blood-feeding cycle of the malaria parasite, (2) embryonic development of the fruit fly, (3) temperature adaptation of Killifish, (4) exponential growth of cultured S. pneumoniae, and (5) human cancers. DATE analysis was applied to aCGH data from the great apes. A good example of the power of DATE analysis is its application to genomically unstable cancers, which have been refractory to data mining strategies. 2009 American Institute of Chemical Engineers Biotechnol.

  19. A cluster analysis on road traffic accidents using genetic algorithms

    Science.gov (United States)

    Saharan, Sabariah; Baragona, Roberto

    2017-04-01

    The analysis of traffic road accidents is increasingly important because of the accidents cost and public road safety. The availability or large data sets makes the study of factors that affect the frequency and severity accidents are viable. However, the data are often highly unbalanced and overlapped. We deal with the data set of the road traffic accidents recorded in Christchurch, New Zealand, from 2000-2009 with a total of 26440 accidents. The data is in a binary set and there are 50 factors road traffic accidents with four level of severity. We used genetic algorithm for the analysis because we are in the presence of a large unbalanced data set and standard clustering like k-means algorithm may not be suitable for the task. The genetic algorithm based on clustering for unknown K, (GCUK) has been used to identify the factors associated with accidents of different levels of severity. The results provided us with an interesting insight into the relationship between factors and accidents severity level and suggest that the two main factors that contributes to fatal accidents are "Speed greater than 60 km h" and "Did not see other people until it was too late". A comparison with the k-means algorithm and the independent component analysis is performed to validate the results.

  20. Genetic analysis of fibre quality traits in upland cotton

    International Nuclear Information System (INIS)

    Khan, I.A.; Shakeel, A.; Azhar, F.M.

    2001-01-01

    Five-parent diallel cross data were analysed following Hayman-Jinks genetic model in order to study pattern of inheritance of staple length, fibre strength, fibre fineness and fibre uniformity of upland cotton. The regression analysis of the F/sub 1/ data revealed that the simple additive dominance model was adequate for genetic analysis. Graphic analysis showed the presence of over-dominance type of gene action in the inheritance e of all the traits. The comparison of array means indicated that varieties Co-2-1 and B-682 had good general combining ability for staple length and fibre strength respectively, whilst CIM-443 showed better general combining ability for fibre fineness and fibre uniformity than the other varieties. The cross combination of Co-2-1 and CIM-443 with B-682 expressed best specific combining ability for staple length and fibre uniformity respectively. Similarly variety B-682 nickel well with DPL 7740-424 for the fibre strength, and coker-307 with CO-2-1 for fibre fineness. The type of gene action controlling inheritance of these characters, and better performance of some of the hybrids suggest that improvement may be possible by developing on appropriate breeding programme. (author)

  1. Population genetic analysis of Colombian Trypanosoma cruzi isolates revealed by enzyme electrophoretic profiles

    OpenAIRE

    Ruiz-Garcia, Manuel; Montilla, Marleny; Nicholls, Sebastian; Alvarez, Diana

    2001-01-01

    Although Colombia presents an enormous biological diversity, few studies have been conducted on the population genetics of Trypanosoma cruzi. This study was carried out with 23 Colombian stocks of this protozoa analyzed for 13 isoenzymatic loci. The Hardy-Weinberg equilibrium, the genetic diversity and heterogeneity, the genetic relationships and the possible spatial structure of these 23 Colombian stocks of T. cruzi were estimated. The majority of results obtained are in agreement with a clo...

  2. MEGA X: Molecular Evolutionary Genetics Analysis across Computing Platforms.

    Science.gov (United States)

    Kumar, Sudhir; Stecher, Glen; Li, Michael; Knyaz, Christina; Tamura, Koichiro

    2018-06-01

    The Molecular Evolutionary Genetics Analysis (Mega) software implements many analytical methods and tools for phylogenomics and phylomedicine. Here, we report a transformation of Mega to enable cross-platform use on Microsoft Windows and Linux operating systems. Mega X does not require virtualization or emulation software and provides a uniform user experience across platforms. Mega X has additionally been upgraded to use multiple computing cores for many molecular evolutionary analyses. Mega X is available in two interfaces (graphical and command line) and can be downloaded from www.megasoftware.net free of charge.

  3. [Wolfram syndrome: clinical and genetic analysis in two sisters].

    Science.gov (United States)

    Conart, J-B; Maalouf, T; Jonveaux, P; Guerci, B; Angioi, K

    2011-10-01

    Wolfram syndrome is a severe genetic disorder defined by the association of diabetes mellitus, optic atrophy, deafness, and diabetes insipidus. Two sisters complained of progressive visual loss. Fundus examination evidenced optic atrophy. Their past medical history revealed diabetes mellitus and deafness since childhood. The association of these symptoms made the diagnosis of Wolfram syndrome possible. It was confirmed by molecular analysis, which evidenced composite WFS1 heterozygous mutations inherited from both their mother and father. Ophthalmologists should be aware of the possibility of Wolfram syndrome when diagnosing optic atrophy in diabetic children. Copyright © 2011 Elsevier Masson SAS. All rights reserved.

  4. Use of biological priors enhances understanding of genetic architecture and genomic prediction of complex traits within and between dairy cattle breeds.

    Science.gov (United States)

    Fang, Lingzhao; Sahana, Goutam; Ma, Peipei; Su, Guosheng; Yu, Ying; Zhang, Shengli; Lund, Mogens Sandø; Sørensen, Peter

    2017-08-10

    A better understanding of the genetic architecture underlying complex traits (e.g., the distribution of causal variants and their effects) may aid in the genomic prediction. Here, we hypothesized that the genomic variants of complex traits might be enriched in a subset of genomic regions defined by genes grouped on the basis of "Gene Ontology" (GO), and that incorporating this independent biological information into genomic prediction models might improve their predictive ability. Four complex traits (i.e., milk, fat and protein yields, and mastitis) together with imputed sequence variants in Holstein (HOL) and Jersey (JER) cattle were analysed. We first carried out a post-GWAS analysis in a HOL training population to assess the degree of enrichment of the association signals in the gene regions defined by each GO term. We then extended the genomic best linear unbiased prediction model (GBLUP) to a genomic feature BLUP (GFBLUP) model, including an additional genomic effect quantifying the joint effect of a group of variants located in a genomic feature. The GBLUP model using a single random effect assumes that all genomic variants contribute to the genomic relationship equally, whereas GFBLUP attributes different weights to the individual genomic relationships in the prediction equation based on the estimated genomic parameters. Our results demonstrate that the immune-relevant GO terms were more associated with mastitis than milk production, and several biologically meaningful GO terms improved the prediction accuracy with GFBLUP for the four traits, as compared with GBLUP. The improvement of the genomic prediction between breeds (the average increase across the four traits was 0.161) was more apparent than that it was within the HOL (the average increase across the four traits was 0.020). Our genomic feature modelling approaches provide a framework to simultaneously explore the genetic architecture and genomic prediction of complex traits by taking advantage of

  5. Strategies for integrated analysis of genetic, epigenetic and gene expression variation in cancer: addressing the challenges

    Directory of Open Access Journals (Sweden)

    Louise Bruun Thingholm

    2016-02-01

    Full Text Available The development and progression of cancer, a collection of diseases with complex genetic architectures, is facilitated by the interplay of multiple etiological factors. This complexity challenges the traditional single-platform study design and calls for an integrated approach to data analysis. However, integration of heterogeneous measurements of biological variation is a non-trivial exercise due to the diversity of the human genome and the variety of output data formats and genome coverage obtained from the commonly used molecular platforms. This review article will provide an introduction to integration strategies used for analyzing genetic risk factors for cancer. We critically examine the ability of these strategies to handle the complexity of the human genome and also accommodate information about the biological and functional interactions between the elements that have been measured – making the assessment of disease risk against a composite genomic factor possible. The focus of this review is to provide an overview and introduction to the main strategies and to discuss where there is a need for further development.

  6. Genome-wide association study and biological pathway analysis for response to Eimeria maxima in broilers

    DEFF Research Database (Denmark)

    Hamzic, Edin; Buitenhuis, Albert Johannes; Hérault, Frédéric

    2015-01-01

    Background Coccidiosis is the most common and costly disease in the poultry industry and which caused by protozoans from the genus of Eimeria. The current control of coccidiosis, based on the use of anticoccidial drugs and vaccination, faces serious obstacles such as drug resistance and the high...... costs for development of efficient vaccines, respectively. Therefore, the present control programs must be expanded with complementary approaches such as the use of genetics for improvement of the host’s response to Eimeria infections. Recently, we have performed a large-scale challenge study on Cobb500...... of the measured traits in the response to Eimeria maxima in broilers. Furthermore, we conducted a post-GWAS functional analysis with the aim of gaining a better biological understanding of the underlying response to Eimeria maxima challenge in broilers. Results In total, we identified 22 single nucleotide...

  7. The genetic and biological basis of feed efficiency in mid-lactation Holstein dairy cows.

    Science.gov (United States)

    Hardie, L C; VandeHaar, M J; Tempelman, R J; Weigel, K A; Armentano, L E; Wiggans, G R; Veerkamp, R F; de Haas, Y; Coffey, M P; Connor, E E; Hanigan, M D; Staples, C; Wang, Z; Dekkers, J C M; Spurlock, D M

    2017-11-01

    The objective of this study was to identify genomic regions and candidate genes associated with feed efficiency in lactating Holstein cows. In total, 4,916 cows with actual or imputed genotypes for 60,671 single nucleotide polymorphisms having individual feed intake, milk yield, milk composition, and body weight records were used in this study. Cows were from research herds located in the United States, Canada, the Netherlands, and the United Kingdom. Feed efficiency, defined as residual feed intake (RFI), was calculated within location as the residual of the regression of dry matter intake (DMI) on milk energy (MilkE), metabolic body weight (MBW), change in body weight, and systematic effects. For RFI, DMI, MilkE, and MBW, bivariate analyses were performed considering each trait as a separate trait within parity group to estimate variance components and genetic correlations between them. Animal relationships were established using a genomic relationship matrix. Genome-wide association studies were performed separately by parity group for RFI, DMI, MilkE, and MBW using the Bayes B method with a prior assumption that 1% of single nucleotide polymorphisms have a nonzero effect. One-megabase windows with greatest percentage of the total genetic variation explained by the markers (TGVM) were identified, and adjacent windows with large proportion of the TGVM were combined and reanalyzed. Heritability estimates for RFI were 0.14 (±0.03; ±SE) in primiparous cows and 0.13 (±0.03) in multiparous cows. Genetic correlations between primiparous and multiparous cows were 0.76 for RFI, 0.78 for DMI, 0.92 for MBW, and 0.61 for MilkE. No single 1-Mb window explained a significant proportion of the TGVM for RFI; however, after combining windows, significance was met on Bos taurus autosome 27 in primiparous cows, and nearly reached on Bos taurus autosome 4 in multiparous cows. Among other genes, these regions contain β-3 adrenergic receptor and the physiological candidate gene

  8. Flow cytometric life cycle analysis in cellular radiation biology

    International Nuclear Information System (INIS)

    Wood, J.C.S.

    1982-01-01

    Three approaches to flow cytometric histogram analysis were developed: (1) differential histogram analysis, (2) DNA histogram analysis, and (3) multiparameter data analysis. These techniques were applied to an important unresolved problem in radiation biology. The initial responses to irradiation of a mammalian cell which occur during the first two cell cycles following the irradiation are of considerable interest to the radiation biologist. During the first two post-irradiation cell cycles, cells which ultimately will survive repair radiation-induced damage, while some cells begin to express some of the radiation-induced nuclear and chomatin damage. Caffeine- and thymidine-treated, and untreated gamma-irradiated cell populations were studied with respect to the radiation-induced G2 delay, deficient DNA synthesis, and the appearance of cells with abnormal DNA contents. It is hypothesized that the measured deficiency in DNA synthesis observed in the first post-irradiation cell cycle may be a result of daughter cells from abnormal first post-irradiation mitoses

  9. Contextual analysis of Biology and Chemistry academic graphical abstracts

    Directory of Open Access Journals (Sweden)

    Cristiane Salete Florek

    2016-10-01

    Full Text Available http://dx.doi.org/10.5007/1984-8412.2016v13n3p1363 The Graphical Abstract (GA is a non-regular discursive practice held in the academic context, and that, when occurs, coexists with the academic abstract (AA in the table of contents of scientific journals, and in HTML versions of academic articles, materializing by the combination of the verbal and visual semiotics. In this paper, in the light of the Critical Analysis genres (MEURER, 2002; BHATIA, 2004; MOTTA-ROTH, 2006, 2008, which allow us to study a text based on the investigation of its context’s critical research, we present the results of the contextual analysis of GAs in the areas of Biology and Chemistry. This analysis was done by: i interviews with researchers of the investigated areas; and ii documentary analysis. Results show that, in general, GA: i is highlighted by presenting an advertising nature, which seeks to attract the reader’s attention; ii: summarizes the topic and the main findings of scientific research; and iii does not replace the academia abstract (AA.

  10. A cross-species genetic analysis identifies candidate genes for mouse anxiety and human bipolar disorder

    Directory of Open Access Journals (Sweden)

    David G Ashbrook

    2015-07-01

    Full Text Available Bipolar disorder (BD is a significant neuropsychiatric disorder with a lifetime prevalence of ~1%. To identify genetic variants underlying BD genome-wide association studies (GWAS have been carried out. While many variants of small effect associated with BD have been identified few have yet been confirmed, partly because of the low power of GWAS due to multiple comparisons being made. Complementary mapping studies using murine models have identified genetic variants for behavioral traits linked to BD, often with high power, but these identified regions often contain too many genes for clear identification of candidate genes. In the current study we have aligned human BD GWAS results and mouse linkage studies to help define and evaluate candidate genes linked to BD, seeking to use the power of the mouse mapping with the precision of GWAS. We use quantitative trait mapping for open field test and elevated zero maze data in the largest mammalian model system, the BXD recombinant inbred mouse population, to identify genomic regions associated with these BD-like phenotypes. We then investigate these regions in whole genome data from the Psychiatric Genomics Consortium’s bipolar disorder GWAS to identify candidate genes associated with BD. Finally we establish the biological relevance and pathways of these genes in a comprehensive systems genetics analysis.We identify four genes associated with both mouse anxiety and human BD. While TNR is a novel candidate for BD, we can confirm previously suggested associations with CMYA5, MCTP1 and RXRG. A cross-species, systems genetics analysis shows that MCTP1, RXRG and TNR coexpress with genes linked to psychiatric disorders and identify the striatum as a potential site of action. CMYA5, MCTP1, RXRG and TNR are associated with mouse anxiety and human BD. We hypothesize that MCTP1, RXRG and TNR influence intercellular signaling in the striatum.

  11. Electron probe analysis of biological fluids: Possibilities and limitations

    International Nuclear Information System (INIS)

    Roinel, N.

    1984-01-01

    Physical methods of investigation have become essential to investigations at the cellular or subcellular level. Nuclear magnetic resonance is the most recent and striking example, since it is not only a tool for fundamental physicists and organic chemists, but also an extraordinary powerful imaging tool for physicians. The absorption properties of X rays were used immediately after their discovery to image the bones of skeletons. Later, X rays were also found to be extremely efficient in the measurement of the elemental content of microvolumes irradiated by electron probes. The electron probe analyzer (EPA) was immediately adopted by numerous laboratories of metallurgy, geology, and mineral sciences. In the last fifteen years, since the use of this instrument was suggested for liquid analysis, and a preparative technique was developed, the EPA has been used by an increasing number of biological laboratories for measuring the concentrations of the elements contained in subnanoliter volumes of biological fluids. The so-called microdroplet technique has become a routine laboratory method, the only one able to measure the concentrations of an unlimited number of elements in a single 0.1-nl sample. This explains its use in fields as various as renal, reproductive, digestive, and plant physiology, zoology, etc. Several review papers discuss these applications. The possibilities and limitations of the technique are discussed below

  12. Analysis and logical modeling of biological signaling transduction networks

    Science.gov (United States)

    Sun, Zhongyao

    The study of network theory and its application span across a multitude of seemingly disparate fields of science and technology: computer science, biology, social science, linguistics, etc. It is the intrinsic similarities embedded in the entities and the way they interact with one another in these systems that link them together. In this dissertation, I present from both the aspect of theoretical analysis and the aspect of application three projects, which primarily focus on signal transduction networks in biology. In these projects, I assembled a network model through extensively perusing literature, performed model-based simulations and validation, analyzed network topology, and proposed a novel network measure. The application of network modeling to the system of stomatal opening in plants revealed a fundamental question about the process that has been left unanswered in decades. The novel measure of the redundancy of signal transduction networks with Boolean dynamics by calculating its maximum node-independent elementary signaling mode set accurately predicts the effect of single node knockout in such signaling processes. The three projects as an organic whole advance the understanding of a real system as well as the behavior of such network models, giving me an opportunity to take a glimpse at the dazzling facets of the immense world of network science.

  13. Compatibility analysis of 3D printer resin for biological applications

    KAUST Repository

    Sivashankar, Shilpa

    2016-08-30

    The salient features of microfluidics such as reduced cost, handling small sample and reagent volumes and less time required to fabricate the devices has inspired the present work. The incompatibility of three-dimensional printer resins in their native form and the method to improve their compatibility to many biological processes via surface modification are reported. The compatibility of the material to build microfluidic devices was evaluated in three different ways: (i) determining if the ultraviolet (UV) cured resin inhibits the polymerase chain reaction (PCR), i.e. testing devices for PCR compatibility; (ii) observing agglutination complex formed on the surface of the UV cured resin when anti-C-reactive protein (CRP) antibodies and CRP proteins were allowed to agglutinate; and (iii) by culturing human embryonic kidney cell line cells and testing for its attachment and viability. It is shown that only a few among four in its native form could be used for fabrication of microchannels and that had the least effect on biological molecules that could be used for PCR and protein interactions and cells, whereas the others were used after treating the surface. Importance in building lab-on-chip/micrototal analysis systems and organ-on-chip devices is found.

  14. Dielectrophoretic capture and genetic analysis of single neuroblastoma tumor cells

    Directory of Open Access Journals (Sweden)

    Erica L Carpenter

    2014-07-01

    Full Text Available Our understanding of the diversity of cells that escape the primary tumor and seed micrometastases remains rudimentary, and approaches for studying circulating and disseminated tumor cells have been limited by low throughput and sensitivity, reliance on single parameter sorting, and a focus on enumeration rather than phenotypic and genetic characterization. Here we utilize a highly sensitive microfluidic and dielectrophoretic approach for the isolation and genetic analysis of individual tumor cells. We employed fluorescence labeling to isolate 208 single cells from spiking experiments conducted with 11 cell lines, including 8 neuroblastoma cell lines, and achieved a capture sensitivity of 1 tumor cell per 106 white blood cells. Sample fixation or freezing had no detectable effect on cell capture. Point mutations were accurately detected in the whole genome amplification product of captured single tumor cells but not in negative control white blood cells. We applied this approach to capture 144 single tumor cells from 10 bone marrow samples from patients suffering from neuroblastoma. In this pediatric malignancy, high-risk patients often exhibit wide-spread hematogenous metastasis, but access to primary tumor can be difficult or impossible. Here we used flow-based sorting to pre-enrich samples with tumor involvement below 0.02%. For all patients for whom a mutation in the Anaplastic Lymphoma Kinase gene had already been detected in their primary tumor, the same mutation was detected in single cells from their marrow. These findings demonstrate a novel, non-invasive, and adaptable method for the capture and genetic analysis of single tumor cells from cancer patients.

  15. Genetic Segregation Analysis of a Rapeseed Dwarf Mutant

    International Nuclear Information System (INIS)

    Xiang, G.; Yu, S.; Zhang, T.; Zhao, J.; Lei, S.; Du, C.

    2016-01-01

    Dwarf resources in Brassica napus are very important for developing high-yield cultivars through dwarf-type and lodging-resistant breeding. However, few dwarf varieties have been available for this species. Here, we reported a new rapeseed dwarf mutant GRC1157, which exhibits obvious phenotypic variations on dwarf. Six generations (P /sub 1/, P/sub 1/, F/sub 1/, F/sub 1/, B/sub 1/, and B/sub 1/) were produced from a cross between dwarf mutant GRC1157 and an elite tall-type line XR16 to analyze genetic inheritances of plant height (PH), numbers of the 1st valid branch (VBN), main inflorescence length (MIL), pod numbers per main inflorescence (MPN), pod length (PL) and seed numbers per pod (PSN) using the mixed major gene plus polygene inheritance model. The genetic analysis shows different traits were controlled by different inheritance models: PH and PL by two pairs of additive-dominant-epistatic major genes plus additive-dominant-epistatic polygenes, MPN and PSN by two-pair additive-dominant-epistatic major genes plus additive-dominant polygenes, MIL by two-pair additive-dominant-epistatic major genes and VBN by one-pair additive-dominant major genes plus additive-dominant-epistatic polygenes. Furthermore, positive correlations between PH and some other traits were observed, suggesting that some traits may be co-regulated by several linkage or same loci/genes. In addition, high heritability (40.35-93.7 percent) were found for five traits (except VBN) in different segregating generations, indicating these traits were mainly affected by hereditary factors and suitable for early artificial selection. In sum, the dwarf mutant GRC1157 can serve as a valuable resource for rapeseed dwarf breeding and the genetic analysis in this study provided a foundation for further mapping and cloning dwarf genes in mutant GRC1157. (author)

  16. Genetic analysis of radiation-induced mouse thymic lymphomas

    International Nuclear Information System (INIS)

    Kominami, R.; Wakabayashi, Y.; Niwa, O.

    2003-01-01

    Mouse thymic lymphomas are one of the classic models of radiation-induced malignancies, and the model has been used for the study of genes involved in carcinogenesis. ras oncogenes are the first isolate which undergoes mutations in 10 to 30 % of lymphomas, and p16INK4a and p19ARF in the INK4a-ARF locus are also frequently inactivated. In our previous study, the inactivation of Ikaros, a key regurator of lymphoid system, was found in those lymphomas, and it was suggested that there are other responsible genes yet to be discovered. On the other hand, genetic predisposition to radiation-induced lymphoma often differs in different strains, and this reflects the presence of low penetrance genes that can modify the impact of a given mutation. Little study of such modifiers or susceptibility genes has been performed, either. Recent availability of databases on mouse genome information and the power of mouse genetic system underline usefulness of the lymphoma model in search for novel genes involved, which may provide clues to molecular mechanisms of development of the radiogenic lymphoma and also genes involved in human lymphomas and other malignancies. Accordingly, we have carried out positional cloning for the two different types of tumor-related genes. In this symposium, our current progress is presented that includes genetic mapping of susceptibility/ resistance loci on mouse chromosomes 4, 5 and 19, and also functional analysis of a novel tumor suppressor gene, Rit1/Bcl11b, that has been isolated from allelic loss (LOH) mapping and sequence analysis for γ -ray induced mouse thymic lymphomas

  17. Genome-wide association study and biological pathway analysis of the Eimeria maxima response in broilers.

    Science.gov (United States)

    Hamzić, Edin; Buitenhuis, Bart; Hérault, Frédéric; Hawken, Rachel; Abrahamsen, Mitchel S; Servin, Bertrand; Elsen, Jean-Michel; Pinard-van der Laan, Marie-Hélène; Bed'Hom, Bertrand

    2015-11-25

    Coccidiosis is the most common and costly disease in the poultry industry and is caused by protozoans of the Eimeria genus. The current control of coccidiosis, based on the use of anticoccidial drugs and vaccination, faces serious obstacles such as drug resistance and the high costs for the development of efficient vaccines, respectively. Therefore, the current control programs must be expanded with complementary approaches such as the use of genetics to improve the host response to Eimeria infections. Recently, we have performed a large-scale challenge study on Cobb500 broilers using E. maxima for which we investigated variability among animals in response to the challenge. As a follow-up to this challenge study, we performed a genome-wide association study (GWAS) to identify genomic regions underlying variability of the measured traits in the response to Eimeria maxima in broilers. Furthermore, we conducted a post-GWAS functional analysis to increase our biological understanding of the underlying response to Eimeria maxima challenge. In total, we identified 22 single nucleotide polymorphisms (SNPs) with q value Eimeria maxima in broilers. Furthermore, the post-GWAS functional analysis indicates that biological pathways and networks involved in tissue proliferation and repair along with the primary innate immune response may play the most important role during the early stage of Eimeria maxima infection in broilers.

  18. APS Conference on Understanding the Biological Clock: From Genetics to Physiology

    Science.gov (United States)

    Frank, Martin

    1996-01-01

    The Conference was designed to take advantage of the fusion of two intellectually dominant but heretofore separate lines of clock research, vertebrate physiology and invertebrate and microbial genetics. The APS Conference attracted 251 scientists, 68 of whom were students. In addition to the excellent speaker program organized by Dunlap and Loros, the attendees also submitted 93 volunteer abstracts that were programmed in poster sessions. Thirty-four percent of the submitted abstracts were first authorized by a female student or scientist.

  19. The biology and potential for genetic research of transposable elements in filamentous fungi

    OpenAIRE

    Fávaro,Léia Cecilia de Lima; Araújo,Welington Luiz de; Azevedo,João Lúcio de; Paccola-Meirelles,Luzia Doretto

    2005-01-01

    Recently many transposable elements have been identified and characterized in filamentous fungi, especially in species of agricultural, biotechnological and medical interest. Similar to the elements found in other eukaryotes, fungal transposons can be classified as class I elements (retrotransposons) that use RNA and reverse transcriptase and class II elements (DNA transposons) that use DNA. The changes (transposition and recombination) caused by transposons can supply wide-ranging genetic va...

  20. Cryptosporidium,Giardia, Cryptococcus, Pneumocystis genetic variability: cryptic biological species or clonal near-clades?

    Directory of Open Access Journals (Sweden)

    Michel Tibayrenc

    2014-04-01

    Full Text Available An abundant literature dealing with the population genetics and taxonomy of Giardia duodenalis, Cryptosporidium spp., Pneumocystis spp., and Cryptococcus spp., pathogens of high medical and veterinary relevance, has been produced in recent years. We have analyzed these data in the light of new population genetic concepts dealing with predominant clonal evolution (PCE recently proposed by us. In spite of the considerable phylogenetic diversity that exists among these pathogens, we have found striking similarities among them. The two main PCE features described by us, namely highly significant linkage disequilibrium and near-clading (stable phylogenetic clustering clouded by occasional recombination, are clearly observed in Cryptococcus and Giardia, and more limited indication of them is also present in Cryptosporidium and Pneumocystis. Moreover, in several cases, these features still obtain when the near-clades that subdivide the species are analyzed separately ("Russian doll pattern". Lastly, several sets of data undermine the notion that certain microbes form clonal lineages simply owing to a lack of opportunity to outcross due to low transmission rates leading to lack of multiclonal infections ("starving sex hypothesis". We propose that the divergent taxonomic and population genetic inferences advanced by various authors about these pathogens may not correspond to true evolutionary differences and could be, rather, the reflection of idiosyncratic practices among compartmentalized scientific communities. The PCE model provides an opportunity to revise the taxonomy and applied research dealing with these pathogens and others, such as viruses, bacteria, parasitic protozoa, and fungi.

  1. Commercialization of genetic testing services: the FDA, market forces, and biological tarot cards.

    Science.gov (United States)

    Malinowski, M J; Blatt, R J R

    1997-03-01

    Many women fear being diagnosed with breast cancer, and rightfully so. Despite the capabilities of modern medicine, the cumulative lifetime risk of getting the disease has risen to one in eight and, despite decades of research, no cures exist. In this Article, the authors explore the commercialization of so-called breast cancer gene tests, based upon genetic alterations linked to the disease. Although the authors fully address this specific technology, they use what constitutes the seminal case of predictive genetic testing to analyze the adequacy of the existing regulatory framework. The authors conclude that the present regulatory system is inadequate and places a dangerous amount of reliance on primary care physicians. Their conclusion is grounded in the observation that most primary care physicians lack sufficient knowledge about this evolving investigative technology--which is highly subject to misinterpretation, and, though potentially helpful to some "high risk" patients, offers questionable clinical value for the general public. The authors set forth numerous proposals to promote both the quality and clinical value of predictive genetic testing so that it conforms to public health standards and can be properly integrated as a reliable component of medical care in specific situations.

  2. Organ-on-a-Chip: New Platform for Biological Analysis

    Directory of Open Access Journals (Sweden)

    Fan An

    2015-01-01

    Full Text Available Direct detection and analysis of biomolecules and cells in physiological microenvironment is urgently needed for fast evaluation of biology and pharmacy. The past several years have witnessed remarkable development opportunities in vitro organs and tissues models with multiple functions based on microfluidic devices, termed as “organ-on-a-chip”. Briefly speaking, it is a promising technology in rebuilding physiological functions of tissues and organs, featuring mammalian cell co-culture and artificial microenvironment created by microchannel networks. In this review, we summarized the advances in studies of heart-, vessel-, liver-, neuron-, kidney- and Multi-organs-on-a-chip, and discussed some noteworthy potential on-chip detection schemes.

  3. Neutron activation analysis on determination of arsenic in biological matrixes

    Energy Technology Data Exchange (ETDEWEB)

    Menezes, Maria Angela de B.C.; Silva, Maria Aparecida, E-mail: menezes@cdtn.br, E-mail: cida@cdtn.br [Centro de Desenvolvimento da Tecnologia Nuclear (CDTN/CNEN-MG), Belo Horizonte, MG (Brazil)

    2013-07-01

    Aiming at giving support to the Worker's Health Awareness Program of the Municipal Department of Health of Belo Horizonte, an assessment related arsenic was carried out in two galvanising factories by means of hair and toenail samples analysis as biomonitors. The arsenic was determined in all matrixes from the factories where gold electrodeposition process was applied. This is because arsenic salts are usually added to gold bath to improve the metal covering. The high concentration results surprised the health surveillance professionals, and alerted for the need of assessing the influence of a long-term exposure. Studies concerning galvanising process have usually been developed broaching many aspects, but so far few works has pointed out the detection and measurement of other elements like arsenic. The k{sub 0}-Instrumental Neutron Activation method was applied confirming to be a suitable technique on determination of arsenic in biological matrixes. (author)

  4. Neutron activation analysis on determination of arsenic in biological matrixes

    International Nuclear Information System (INIS)

    Menezes, Maria Angela de B.C.; Silva, Maria Aparecida

    2013-01-01

    Aiming at giving support to the Worker's Health Awareness Program of the Municipal Department of Health of Belo Horizonte, an assessment related arsenic was carried out in two galvanising factories by means of hair and toenail samples analysis as biomonitors. The arsenic was determined in all matrixes from the factories where gold electrodeposition process was applied. This is because arsenic salts are usually added to gold bath to improve the metal covering. The high concentration results surprised the health surveillance professionals, and alerted for the need of assessing the influence of a long-term exposure. Studies concerning galvanising process have usually been developed broaching many aspects, but so far few works has pointed out the detection and measurement of other elements like arsenic. The k 0 -Instrumental Neutron Activation method was applied confirming to be a suitable technique on determination of arsenic in biological matrixes. (author)

  5. Certification of biological candidates reference materials by neutron activation analysis

    Science.gov (United States)

    Kabanov, Denis V.; Nesterova, Yulia V.; Merkulov, Viktor G.

    2018-03-01

    The paper gives the results of interlaboratory certification of new biological candidate reference materials by neutron activation analysis recommended by the Institute of Nuclear Chemistry and Technology (Warsaw, Poland). The correctness and accuracy of the applied method was statistically estimated for the determination of trace elements in candidate reference materials. The procedure of irradiation in the reactor thermal fuel assembly without formation of fast neutrons was carried out. It excluded formation of interfering isotopes leading to false results. The concentration of more than 20 elements (e.g., Ba, Br, Ca, Co, Ce, Cr, Cs, Eu, Fe, Hf, La, Lu, Rb, Sb, Sc, Ta, Th, Tb, Yb, U, Zn) in candidate references of tobacco leaves and bottom sediment compared to certified reference materials were determined. It was shown that the average error of the applied method did not exceed 10%.

  6. Using image analysis to monitor biological changes in consume fish

    DEFF Research Database (Denmark)

    Dissing, Bjørn Skovlund; Frosch, Stina; Nielsen, Michael Engelbrecht

    2011-01-01

    The quality of fish products is largely defined by the visual appearance of the products. Visual appearance includes measurable parameters such as color and texture. Fat content and distribution as well as deposition of carotenoid pigments such as astaxanthin in muscular and fat tissue...... fishes is based on highly laborious chemical analysis. Trichromatic digital imaging and point-wise colorimetric or spectral measurement are also ways of estimating either the redness or the actual astaxanthin concentration of the fillet. These methods all have drawbacks of either cumbersome testing...... are biological parameters with a huge impact on the color and texture of the fish muscle. Consumerdriven quality demands call for rapid methods for quantification of quality parameters such as fat and astaxanthin in the industry. The spectral electromagnetic reflection properties of astaxanthin are well known...

  7. Normal mode analysis and applications in biological physics.

    Science.gov (United States)

    Dykeman, Eric C; Sankey, Otto F

    2010-10-27

    Normal mode analysis has become a popular and often used theoretical tool in the study of functional motions in enzymes, viruses, and large protein assemblies. The use of normal modes in the study of these motions is often extremely fruitful since many of the functional motions of large proteins can be described using just a few normal modes which are intimately related to the overall structure of the protein. In this review, we present a broad overview of several popular methods used in the study of normal modes in biological physics including continuum elastic theory, the elastic network model, and a new all-atom method, recently developed, which is capable of computing a subset of the low frequency vibrational modes exactly. After a review of the various methods, we present several examples of applications of normal modes in the study of functional motions, with an emphasis on viral capsids.

  8. Urtica dioica pollen allergy: Clinical, biological, and allergomics analysis.

    Science.gov (United States)

    Tiotiu, Angelica; Brazdova, Andrea; Longé, Cyril; Gallet, Patrice; Morisset, Martine; Leduc, Virginie; Hilger, Christiane; Broussard, Cédric; Couderc, Rémy; Sutra, Jean-Pierre; Sénéchal, Hélène; Poncet, Pascal

    2016-11-01

    The most emblematic members of Urticaceae at allergic risk level are wall pellitories (Parietaria), whereas nettle (Urtica) pollen is considered as poorly allergenic. No allergen from nettle pollen has yet been characterized, whereas 4 are listed for Parietaria pollen by the International Union of Immunological Societies. Clinical and biological profiles of 2 adult men who developed symptoms against nettle pollen and/or leaves were studied. To characterize the allergic reaction and identify the potential nettle pollen sensitizing allergens. IgE-mediated reaction to nettle pollen extract was evaluated by skin prick test, immunoassay, nasal provocation, and basophil activation test. To characterize specific nettle pollen allergens, an allergomic (IgE immunoproteomic) analysis was performed combining 1- and 2-dimensional electrophoresis, IgE immunoblots of nettle pollen extract, identification of allergens by mass spectrometry, and database queries. The results of biological and immunochemical analyses revealed that the allergic rhinitis was due to Urtica dioica pollen in both patients. The allergomic analysis of nettle pollen extract allowed the characterization of 4 basic protein allergens: a thaumatin-like protein (osmotin) with a relative molecular mass of 27 to 29 kDa, a pectinesterase (relative molecular mass, 40 kDa), and 2 other basic proteins with relative molecular masses of 14 to 16 kDa and 43 kDa. There is no or only very weak allergen associations between pellitory and nettle pollen. Exposure to nettle pollen can be responsible of allergic symptoms, and several allergens were characterized. Unravelling the allergens of this underestimated allergy might help to improve diagnosis and care for patients, to predict cross-reactivities and design adapted specific immunotherapy. Copyright © 2016 American College of Allergy, Asthma & Immunology. Published by Elsevier Inc. All rights reserved.

  9. Analysis of biological materials using a nuclear microprobe

    Science.gov (United States)

    Mulware, Stephen Juma

    The use of nuclear microprobe techniques including: Particle induced x-ray emission (PIXE) and Rutherford backscattering spectrometry (RBS) for elemental analysis and quantitative elemental imaging of biological samples is especially useful in biological and biomedical research because of its high sensitivity for physiologically important trace elements or toxic heavy metals. The nuclear microprobe of the Ion Beam Modification and Analysis Laboratory (IBMAL) has been used to study the enhancement in metal uptake of two different plants. The roots of corn (Zea mays) have been analyzed to study the enhancement of iron uptake by adding Fe (II) or Fe(III) of different concentrations to the germinating medium of the seeds. The Fe uptake enhancement effect produced by lacing the germinating medium with carbon nanotubes has also been investigated. The aim of this investigation is to ensure not only high crop yield but also Fe-rich food products especially from calcareous soil which covers 30% of world's agricultural land. The result will help reduce iron deficiency anemia, which has been identified as the leading nutritional disorder especially in developing countries by the World Health Organization. For the second plant, Mexican marigold (Tagetes erecta ), the effect of an arbuscular mycorrhizal fungi (Glomus intraradices ) for the improvement of lead phytoremediation of lead contaminated soil has been investigated. Phytoremediation provides an environmentally safe technique of removing toxic heavy metals (like lead), which can find their way into human food, from lands contaminated by human activities like mining or by natural disasters like earthquakes. The roots of Mexican marigold have been analyzed to study the role of arbuscular mycorrhizal fungi in enhancement of lead uptake from the contaminated rhizosphere.

  10. Genetic diversity and relationship analysis of Gossypium arboreum accessions.

    Science.gov (United States)

    Liu, F; Zhou, Z L; Wang, C Y; Wang, Y H; Cai, X Y; Wang, X X; Zhang, Z S; Wang, K B

    2015-11-19

    Simple sequence repeat techniques were used to identify the genetic diversity of 101 Gossypium arboreum accessions collected from India, Vietnam, and the southwest of China (Guizhou, Guangxi, and Yunnan provinces). Twenty-six pairs of SSR primers produced a total of 103 polymorphic loci with an average of 3.96 polymorphic loci per primer. The average of the effective number of alleles, Nei's gene diversity, and Shannon's information index were 0.59, 0.2835, and 0.4361, respectively. The diversity varied among different geographic regions. The result of principal component analysis was consistent with that of unweighted pair group method with arithmetic mean clustering analysis. The 101 G. arboreum accessions were clustered into 2 groups.

  11. Micro-Raman Imaging for Biology with Multivariate Spectral Analysis

    KAUST Repository

    Malvaso, Federica

    2015-05-05

    Raman spectroscopy is a noninvasive technique that can provide complex information on the vibrational state of the molecules. It defines the unique fingerprint that allow the identification of the various chemical components within a given sample. The aim of the following thesis work is to analyze Raman maps related to three pairs of different cells, highlighting differences and similarities through multivariate algorithms. The first pair of analyzed cells are human embryonic stem cells (hESCs), while the other two pairs are induced pluripotent stem cells (iPSCs) derived from T lymphocytes and keratinocytes, respectively. Although two different multivariate techniques were employed, ie Principal Component Analysis and Cluster Analysis, the same results were achieved: the iPSCs derived from T-lymphocytes show a higher content of genetic material both compared with the iPSCs derived from keratinocytes and the hESCs . On the other side, equally evident, was that iPS cells derived from keratinocytes assume a molecular distribution very similar to hESCs.

  12. Methods and Tools for the Analysis, Verification and Synthesis of Genetic Logic Circuits,

    DEFF Research Database (Denmark)

    Baig, Hasan

    2017-01-01

    . This usually requires simulating the mathematical models of these genetic circuits and perceive whether or not the circuit behaves appropriately. Furthermore, synthetic biology utilizes the concepts from electronic design automation (EDA) of abstraction and automated construction to generate genetic circuits...... that the proposed approach is effective to determine the variation in the behavior of genetic circuits when the circuit’s parameters are changed. In addition, the thesis also attempts to propose a synthesis and technology mapping tool, called GeneTech, for genetic circuits. It allows users to construct a genetic...... important design characteristics. This thesis also introduces an automated approach to analyze the behavior of genetic logic circuits from the simulation data. With this capability, the boolean logic of complex genetic circuits can be analyzed and/or verified automatically. It is also shown in this thesis...

  13. Genetic analysis of superovulatory response of Holstein cows in Canada.

    Science.gov (United States)

    Jaton, C; Koeck, A; Sargolzaei, M; Malchiodi, F; Price, C A; Schenkel, F S; Miglior, F

    2016-05-01

    Superovulation of dairy cattle is frequently used in Canada. The cost of this protocol is high, and so is the variability of the outcome. Knowing the superovulatory potential of a donor cow could influence the breeder's decision to superovulate it or not. The main objective of this study was to perform a genetic analysis for superovulatory response of Holstein cows in Canada using data recorded by Holstein Canada, and to investigate if these data could be used for genetic evaluation. Data contained the total number of embryos and the number of viable embryos from every successful flushing performed across Canada. After editing, 137,446 records of superovulation performed between 1992 and 2014 were analyzed. A univariate repeatability animal model analysis was performed for both total number of embryos and number of viable embryos. Because both data and residuals did not follow a normal distribution, records were subject to either logarithmic or Anscombe transformation. Using logarithmic transformation, heritability estimates (SE) of 0.15 (0.01) and 0.14 (0.01) were found for total number of embryos and number of viable embryos, respectively. Using Anscombe transformation, heritability estimates (SE) of 0.17 (0.01) and 0.14 (0.01) were found for total number of embryos and number of viable embryos, respectively. The genetic correlation between the 2 traits was estimated at 0.97 using logarithmic transformation and 0.95 using Anscombe transformation. Breeding values were estimated for 54,463 cows, and 3,513 sires. Only estimated breeding values of sires having a reliability higher than 40% were considered for estimated breeding values correlations with other routinely evaluated traits. The results showed that selection for a higher response to superovulation would lead to a slight decrease in milk production, but an improvement for functional traits, including all reproduction traits. In all cases, the estimated correlations are either low or modest. We conclude that

  14. Genetics

    International Nuclear Information System (INIS)

    Hubitschek, H.E.

    1975-01-01

    Progress is reported on the following research projects: genetic effects of high LET radiations; genetic regulation, alteration, and repair; chromosome replication and the division cycle of Escherichia coli; effects of radioisotope decay in the DNA of microorganisms; initiation and termination of DNA replication in Bacillus subtilis; mutagenesis in mouse myeloma cells; lethal and mutagenic effects of near-uv radiation; effect of 8-methoxypsoralen on photodynamic lethality and mutagenicity in Escherichia coli; DNA repair of the lethal effects of far-uv; and near uv irradiation of bacterial cells

  15. Multivariate imaging-genetics study of MRI gray matter volume and SNPs reveals biological pathways correlated with brain structural differences in Attention Deficit Hyperactivity Disorder

    Directory of Open Access Journals (Sweden)

    Sabin Khadka

    2016-07-01

    Full Text Available Background: Attention Deficit Hyperactivity Disorder (ADHD is a prevalent neurodevelopmental disorder affecting children, adolescents, and adults. Its etiology is not well-understood, but it is increasingly believed to result from diverse pathophysiologies that affect the structure and function of specific brain circuits. Although one of the best-studied neurobiological abnormalities in ADHD is reduced fronto-striatal-cerebellar gray matter volume, its specific genetic correlates are largely unknown. Methods: In this study, T1-weighted MR images of brain structure were collected from 198 adolescents (63 ADHD-diagnosed. A multivariate parallel independent component analysis technique (Para-ICA identified imaging-genetic relationships between regional gray matter volume and single nucleotide polymorphism data. Results: Para-ICA analyses extracted 14 components from genetic data and 9 from MR data. An iterative cross-validation using randomly-chosen sub-samples indicated acceptable stability of these ICA solutions. A series of partial correlation analyses controlling for age, sex, and ethnicity revealed two genotype-phenotype component pairs significantly differed between ADHD and non-ADHD groups, after a Bonferroni correction for multiple comparisons. The brain phenotype component not only included structures frequently found to have abnormally low volume in previous ADHD studies, but was also significantly associated with ADHD differences in symptom severity and performance on cognitive tests frequently found to be impaired in patients diagnosed with the disorder. Pathway analysis of the genotype component identified several different biological pathways linked to these structural abnormalities in ADHD. Conclusions: Some of these pathways implicate well-known dopaminergic neurotransmission and neurodevelopment hypothesized to be abnormal in ADHD. Other more recently implicated pathways included glutamatergic and GABA-eric physiological systems

  16. Genetic relationship and biological status of the industrially important yeast Saccharomyces eubayanus Sampaio et al.

    Science.gov (United States)

    Naumov, G I

    2017-03-01

    The genomes of the recently discovered yeast Saccharomyces eubayanus and traditional S. cerevisiae are known to be found in the yeast S. pastorianus (syn. S. carlsbergensis), which are essential for brewing. The cryotolerant yeast S. bayanus var. uvarum is of great importance for production of some wines. Based on ascospore viability and meiotic recombination of the control parental markers in hybrids, we have shown that there is no complete interspecies post-zygotic isolation between the yeasts S. eubayanus, S. bayanus var. bayanus and S. bayanus var. uvarum. The genetic data presented indicate that all of the three taxa belong to the same species.

  17. The biotechnology (genetic transformation and molecular biology) of Bixa orellana L. (achiote).

    Science.gov (United States)

    Teixeira da Silva, Jaime A; Dobránszki, Judit; Rivera-Madrid, Renata

    2018-05-10

    Genetic transformation allows for greater bixin or norbixin production in achiote. Knowledge of genes that control the biosynthesis of these important secondary metabolites will allow for targeted amplification in transgenic plants. Annatto is a natural dye or coloring agent derived from the seeds, or their arils, of achiote (Bixa orellana L.), and is commercially known as E160b. The main active component of annatto dye is water-insoluble bixin, although water-soluble norbixin also has commercial applications. Relative to other antioxidants, bixin is light- and temperature stable and is thus safe for human consumption. Bixin is, therefore, widely applied as a dye and as an antioxidant in the medico-pharmaceutical, food, cosmetic, and dye industries. Even though bixin has also been isolated from leaves and bark, yield is lower than from seeds. More biotechnology-based research of this industrial and medicinal plant is needed. Building on provisional genetic transformation studies, it would be advantageous to transform genes that could result in greater bixin or norbixin production. Reliable protocols for the extraction of bixin and norbixin, as well as deeper knowledge of the genes that control the biosynthesis of these important secondary metabolites will allow for targeted amplification in transgenic plants.

  18. Methylenetetrahydrofolate reductase and transcobalamin genetic polymorphisms in human spontaneous abortion: biological and clinical implications

    Directory of Open Access Journals (Sweden)

    Zetterberg Henrik

    2004-02-01

    Full Text Available Abstract The pathogenesis of human spontaneous abortion involves a complex interaction of several genetic and environmental factors. The firm association between increased homocysteine concentration and neural tube defects (NTD has led to the hypothesis that high concentrations of homocysteine might be embryotoxic and lead to decreased fetal viability. There are several genetic polymorphisms that are associated with defects in folate- and vitamin B12-dependent homocysteine metabolism. The methylenetetrahydrofolate reductase (MTHFR 677C>T and 1298A>C polymorphisms cause elevated homocysteine concentration and are associated with an increased risk of NTD. Additionally, low concentration of vitamin B12 (cobalamin or transcobalamin that delivers vitamin B12 to the cells of the body leads to hyperhomocysteinemia and is associated with NTD. This effect involves the transcobalamin (TC 776C>G polymorphism. Importantly, the biochemical consequences of these polymorphisms can be modified by folate and vitamin B12 supplementation. In this review, I focus on recent studies on the role of hyperhomocysteinemia-associated polymorphisms in the pathogenesis of human spontaneous abortion and discuss the possibility that periconceptional supplementation with folate and vitamin B12 might lower the incidence of miscarriage in women planning a pregnancy.

  19. Association genetics and transcriptome analysis reveal a gibberellin-responsive pathway involved in regulating photosynthesis.

    Science.gov (United States)

    Xie, Jianbo; Tian, Jiaxing; Du, Qingzhang; Chen, Jinhui; Li, Ying; Yang, Xiaohui; Li, Bailian; Zhang, Deqiang

    2016-05-01

    Gibberellins (GAs) regulate a wide range of important processes in plant growth and development, including photosynthesis. However, the mechanism by which GAs regulate photosynthesis remains to be understood. Here, we used multi-gene association to investigate the effect of genes in the GA-responsive pathway, as constructed by RNA sequencing, on photosynthesis, growth, and wood property traits, in a population of 435 Populus tomentosa By analyzing changes in the transcriptome following GA treatment, we identified many key photosynthetic genes, in agreement with the observed increase in measurements of photosynthesis. Regulatory motif enrichment analysis revealed that 37 differentially expressed genes related to photosynthesis shared two essential GA-related cis-regulatory elements, the GA response element and the pyrimidine box. Thus, we constructed a GA-responsive pathway consisting of 47 genes involved in regulating photosynthesis, including GID1, RGA, GID2, MYBGa, and 37 photosynthetic differentially expressed genes. Single nucleotide polymorphism (SNP)-based association analysis showed that 142 SNPs, representing 40 candidate genes in this pathway, were significantly associated with photosynthesis, growth, and wood property traits. Epistasis analysis uncovered interactions between 310 SNP-SNP pairs from 37 genes in this pathway, revealing possible genetic interactions. Moreover, a structural gene-gene matrix based on a time-course of transcript abundances provided a better understanding of the multi-gene pathway affecting photosynthesis. The results imply a functional role for these genes in mediating photosynthesis, growth, and wood properties, demonstrating the potential of combining transcriptome-based regulatory pathway construction and genetic association approaches to detect the complex genetic networks underlying quantitative traits. © The Author 2016. Published by Oxford University Press on behalf of the Society for Experimental Biology. All rights

  20. Genetics

    DEFF Research Database (Denmark)

    Christensen, Kaare; McGue, Matt

    2016-01-01

    The sequenced genomes of individuals aged ≥80 years, who were highly educated, self-referred volunteers and with no self-reported chronic diseases were compared to young controls. In these data, healthy ageing is a distinct phenotype from exceptional longevity and genetic factors that protect...

  1. Stories of staying and leaving: A mixed methods analysis of biology undergraduate choice, persistence, and departure

    Science.gov (United States)

    Lang, Sarah Adrienne

    Using a sequential, explanatory mixed methods design, this dissertation study compared students who persist in the biology major (persisters) with students who leave the biology major (switchers) in terms of how their pre-college experiences, college biology experiences, and biology performance figured into their choice of biology and their persistence in or departure from the biology major. This study combined (1) quantitative comparisons of biology persisters and switchers via a questionnaire developed for the study and survival analysis of a larger population of biology freshmen with (2) qualitative comparison of biology switchers and persisters via semi-structured life story interviews and homogenous focus groups. 319 students (207 persisters and 112 switchers) participated in the questionnaire and 36 students (20 persisters and 16 switchers) participated in life story and focus group interviews. All participants were undergraduates who entered The University of Texas at Austin as biology freshmen in the fall semesters of 2000 through 2004. Findings of this study suggest: (1) Regardless of eventual major, biology students enter college with generally the same suite of experiences, sources of personal encouragement, and reasons for choosing the biology major; (2) Despite the fact that they have also had poor experiences in the major, biology persisters do not actively decide to stay in the biology major; they simply do not leave; (3) Based upon survival analysis, biology students are most at-risk of leaving the biology major during the first two years of college and if they are African-American or Latino, women, or seeking a Bachelor of Arts degree (rather than a Bachelor of Science); (4) Biology switchers do not leave biology due to preference for other disciplines; they leave due to difficulties or dissatisfaction with aspects of the biology major, including their courses, faculty, and peers; (5) Biology performance has a differential effect on persistence in

  2. Biclustering methods: biological relevance and application in gene expression analysis.

    Directory of Open Access Journals (Sweden)

    Ali Oghabian

    Full Text Available DNA microarray technologies are used extensively to profile the expression levels of thousands of genes under various conditions, yielding extremely large data-matrices. Thus, analyzing this information and extracting biologically relevant knowledge becomes a considerable challenge. A classical approach for tackling this challenge is to use clustering (also known as one-way clustering methods where genes (or respectively samples are grouped together based on the similarity of their expression profiles across the set of all samples (or respectively genes. An alternative approach is to develop biclustering methods to identify local patterns in the data. These methods extract subgroups of genes that are co-expressed across only a subset of samples and may feature important biological or medical implications. In this study we evaluate 13 biclustering and 2 clustering (k-means and hierarchical methods. We use several approaches to compare their performance on two real gene expression data sets. For this purpose we apply four evaluation measures in our analysis: (1 we examine how well the considered (biclustering methods differentiate various sample types; (2 we evaluate how well the groups of genes discovered by the (biclustering methods are annotated with similar Gene Ontology categories; (3 we evaluate the capability of the methods to differentiate genes that are known to be specific to the particular sample types we study and (4 we compare the running time of the algorithms. In the end, we conclude that as long as the samples are well defined and annotated, the contamination of the samples is limited, and the samples are well replicated, biclustering methods such as Plaid and SAMBA are useful for discovering relevant subsets of genes and samples.

  3. Data acquisition and analysis at the Structural Biology Center

    International Nuclear Information System (INIS)

    Westbrook, M.L.; Coleman, T.A.; Daly, R.T.; Pflugrath, J.W.

    1996-01-01

    The Structural Biology Center (SBC), a national user facility for macromolecular crystallography located at Argonne National Laboratory's Advanced Photon Source, is currently being built and commissioned. SBC facilities include a bending-magnet beamline, an insertion-device beamline, laboratory and office space adjacent to the beamlines, and associated instrumentation, experimental apparatus, and facilities. SBC technical facilities will support anomalous dispersion phasing experiments, data collection from microcrystals, data collection from crystals with large molecular structures and rapid data collection from multiple related crystal structures for protein engineering and drug design. The SBC Computing Systems and Software Engineering Group is tasked with developing the SBC Control System, which includes computing systems, network, and software. The emphasis of SBC Control System development has been to provide efficient and convenient beamline control, data acquisition, and data analysis for maximal facility and experimenter productivity. This paper describes the SBC Control System development, specifically data acquisition and analysis at the SBC, and the development methods used to meet this goal

  4. Pathway analysis of GWAS provides new insights into genetic susceptibility to 3 inflammatory diseases.

    Directory of Open Access Journals (Sweden)

    Hariklia Eleftherohorinou

    2009-11-01

    Full Text Available Although the introduction of genome-wide association studies (GWAS have greatly increased the number of genes associated with common diseases, only a small proportion of the predicted genetic contribution has so far been elucidated. Studying the cumulative variation of polymorphisms in multiple genes acting in functional pathways may provide a complementary approach to the more common single SNP association approach in understanding genetic determinants of common disease. We developed a novel pathway-based method to assess the combined contribution of multiple genetic variants acting within canonical biological pathways and applied it to data from 14,000 UK individuals with 7 common diseases. We tested inflammatory pathways for association with Crohn's disease (CD, rheumatoid arthritis (RA and type 1 diabetes (T1D with 4 non-inflammatory diseases as controls. Using a variable selection algorithm, we identified variants responsible for the pathway association and evaluated their use for disease prediction using a 10 fold cross-validation framework in order to calculate out-of-sample area under the Receiver Operating Curve (AUC. The generalisability of these predictive models was tested on an independent birth cohort from Northern Finland. Multiple canonical inflammatory pathways showed highly significant associations (p 10(-3-10(-20 with CD, T1D and RA. Variable selection identified on average a set of 205 SNPs (149 genes for T1D, 350 SNPs (189 genes for RA and 493 SNPs (277 genes for CD. The pattern of polymorphisms at these SNPS were found to be highly predictive of T1D (91% AUC and RA (85% AUC, and weakly predictive of CD (60% AUC. The predictive ability of the T1D model (without any parameter refitting had good predictive ability (79% AUC in the Finnish cohort. Our analysis suggests that genetic contribution to common inflammatory diseases operates through multiple genes interacting in functional pathways.

  5. An ecologically-based method for selecting ecological indicators for assessing risks to biological diversity from genetically-engineered plants

    DEFF Research Database (Denmark)

    Andow, D. A.; Lövei, Gabor L; Arpaia, Salvatore

    2013-01-01

    into ecological functional groups and selecting those that deliver the identified environmental values. (3) All of the species or ecosystem processes related to the selected functional groups are identified and (4) multi-criteria decision analysis (MCDA) is used to rank the indicator endpoint entities, which may...... adverse effects to biological diversity. The approach starts by (1) identifying the local environmental values so the ERA addresses specific concerns associated with local biological diversity. The model simplifies the indicator endpoint selection problem by (2) classifying biological diversity...... be species or ecological processes. MCDA focuses on those species and processes that are critical for the identified ecological functions and are likely to be highly exposed to the GE organism. The highest ranked indicator entities are selected for the next step. (5) Relevant risk hypotheses are identified...

  6. Molecular analysis of genetic diversity in elite II synthetic hexaploid ...

    African Journals Online (AJOL)

    STORAGESEVER

    2009-07-20

    Jul 20, 2009 ... The presence of sufficient genetic diversity in the germplam is an important ..... Figure 1. PCR amplification profile of Elite-II SH Wheat using the primer OPG-2. .... genetic relationships among cowpea breeding lines and local.

  7. Genetic analysis of fertility restoration under CGMS system in rice ...

    Indian Academy of Sciences (India)

    restore complete fertility of a certain CMS line by various restorer lines (Tan et ... Keywords. rice; heterosis; three-way test cross; fertility restoration genetics. Journal of ..... plants indicating a strong genetic load of maintenance in. DE2. Table 8.

  8. Analysis of genetic diversity and construction of core collection of ...

    African Journals Online (AJOL)

    Jane

    2011-06-03

    Jun 3, 2011 ... Genetic diversity of 73 local mulberry varieties from Shanxi Province were screened using ISSR ... number effective of alleles, Nei's genetic diversity index and Shannon's ...... resources conservation program of the Agriculture.

  9. Comparative Analysis of Genetic Crossover Operators in Knapsack ...

    African Journals Online (AJOL)

    ADOWIE PERE

    Knapsack problem via GA (Genetic Algorithm) is presented. We compared ... Keywords: Genetic Algorithm, Crossover, Heuristic, Arithmetic, Intermediate, Evolutionary Algorithm. The knapsack .... application to 0/1 Knapsack problem, Applied.

  10. Molecular genetic analysis of consanguineous families with primary ...

    Indian Academy of Sciences (India)

    MUZAMMIL AHMAD KHAN

    3Institute of Human Genetics, Medical University of Graz, Graz 8010, Austria. 4Department of Cell and ... Materials and methods. Family recruitment and sample collection ..... 2014 A Drosophila genetic resource of mutats to study mechanism ...

  11. Genetic analysis of Aedes albopictus (Diptera, Culicidae) reveals a deep divergence in the original regions.

    Science.gov (United States)

    Ruiling, Zhang; Tongkai, Liu; Zhendong, Huang; Guifen, Zhuang; Dezhen, Ma; Zhong, Zhang

    2018-05-02

    Aedes albopictus has been described as one of the 100 worst invasive species in the world. This mosquito originated from southeastern Asia and currently has a widespread presence in every continent except Antarctica. The rapid global expansion of Ae. albopictus has increased public health concerns about arbovirus-related disease threats. Adaptation, adaption to novel areas is a biological challenge for invasive species, and the underlying processes can be studied at the molecular level. In this study, genetic analysis was performed using mitochondrial gene NADH dehydrogenase subunit 5 (ND5), based on both native and invasive populations. Altogether, 38 haplotypes were detected with H1 being the dominant and widely distributed in 21 countries. Both phylogenetic and network analyses supported the existence of five clades, with only clade I being involved in the subsequent global spread of Asian tiger mosquito. The other four clades (II, III, IV and V) were restricted to their original regions, which could be ancestral populations that had diverged from clade I in the early stages of evolution. Neutrality tests suggested that most of the populations had experienced recent expansion. Analysis of molecular variance and the population-pair statistic F ST revealed that most populations lacked genetic structure, while high variability was detected within populations. Multiple and independent human-mediated introductions may explain the present results. Copyright © 2018 Elsevier B.V. All rights reserved.

  12. [Genetic variation analysis of canine parvovirus VP2 gene in China].

    Science.gov (United States)

    Yi, Li; Cheng, Shi-Peng; Yan, Xi-Jun; Wang, Jian-Ke; Luo, Bin

    2009-11-01

    To recognize the molecular biology character, phylogenetic relationship and the state quo prevalent of Canine parvovirus (CPV), Faecal samnples from pet dogs with acute enteritis in the cities of Beijing, Wuhan, and Nanjing were collected and tested for CPV by PCR and other assay between 2006 and 2008. There was no CPV to FPV (MEV) variation by PCR-RFLP analysis in all samples. The complete ORFs of VP2 genes were obtained by PCR from 15 clinical CPVs and 2 CPV vaccine strains. All amplicons were cloned and sequenced. Analysis of the VP2 sequences showed that clinical CPVs both belong to CPV-2a subtype, and could be classified into a new cluster by amino acids contrasting which contains Tyr-->Ile (324) mutation. Besides the 2 CPV vaccine strains belong to CPV-2 subtype, and both of them have scattered variation in amino acids residues of VP2 protein. Construction of the phylogenetic tree based on CPV VP2 sequence showed these 15 CPV clinical strains were in close relationship with Korea strain K001 than CPV-2a isolates in other countries at early time, It is indicated that the canine parvovirus genetic variation was associated with location and time in some degree. The survey of CPV capsid protein VP2 gene provided the useful information for the identification of CPV types and understanding of their genetic relationship.

  13. Genetics researchers’ and iRB professionals’ attitudes toward genetic research review: a comparative analysis

    Science.gov (United States)

    Edwards, Karen L.; Lemke, Amy A.; Trinidad, Susan B.; Lewis, Susan M.; Starks, Helene; Snapinn, Katherine W.; Griffin, Mary Quinn; Wiesner, Georgia L.; Burke, Wylie

    2012-01-01

    Purpose Genetic research involving human participants can pose challenging questions related to ethical and regulatory standards for research oversight. However, few empirical studies describe how genetic researchers and institutional review board (IRB) professionals conceptualize ethical issues in genetic research or where common ground might exist. Methods Parallel online surveys collected information from human genetic researchers (n = 351) and IRB professionals (n = 208) regarding their views about human participant oversight for genetic protocols. Results A range of opinions were observed within groups on most issues. In both groups, a minority thought it likely that people would be harmed by participation in genetic research or identified from coded genetic data. A majority of both groups agreed that reconsent should be required for four of the six scenarios presented. Statistically significant differences were observed between groups on some issues, with more genetic researcher respondents trusting the confidentiality of coded data, fewer expecting harms from reidentification, and fewer considering reconsent necessary in certain scenarios. Conclusions The range of views observed within and between IRB and genetic researcher groups highlights the complexity and unsettled nature of many ethical issues in genome research. Our findings also identify areas where researcher and IRB views diverge and areas of common ground. PMID:22241102

  14. Genetically Modified Products in Lithuania: Situational Analysis and Consumers’ Attitudes

    OpenAIRE

    Dainora Grundey; Indre Rimkiene

    2012-01-01

    The paper analyses the genetically modified organism products (GMP) in relation to genetically modified organisms (GMO) from two perspectives: 1) from the theoretical standpoint, discussing the GMO and GMP trade conditions and 2) from the practical perspective, namely analysing the availability of GMP in the Lithuanian market. With the growing of genetically modified products (GMP) levels, it becomes important to examine the situation of genetically modified products. According to various stu...

  15. Efficient Analysis of Systems Biology Markup Language Models of Cellular Populations Using Arrays.

    Science.gov (United States)

    Watanabe, Leandro; Myers, Chris J

    2016-08-19

    The Systems Biology Markup Language (SBML) has been widely used for modeling biological systems. Although SBML has been successful in representing a wide variety of biochemical models, the core standard lacks the structure for representing large complex regular systems in a standard way, such as whole-cell and cellular population models. These models require a large number of variables to represent certain aspects of these types of models, such as the chromosome in the whole-cell model and the many identical cell models in a cellular population. While SBML core is not designed to handle these types of models efficiently, the proposed SBML arrays package can represent such regular structures more easily. However, in order to take full advantage of the package, analysis needs to be aware of the arrays structure. When expanding the array constructs within a model, some of the advantages of using arrays are lost. This paper describes a more efficient way to simulate arrayed models. To illustrate the proposed method, this paper uses a population of repressilator and genetic toggle switch circuits as examples. Results show that there are memory benefits using this approach with a modest cost in runtime.

  16. Systems Biology Genetic Approach Identifies Serotonin Pathway as a Possible Target for Obstructive Sleep Apnea: Results from a Literature Search Review

    Directory of Open Access Journals (Sweden)

    Ram Jagannathan

    2017-01-01

    Full Text Available Rationale. Overall validity of existing genetic biomarkers in the diagnosis of obstructive sleep apnea (OSA remains unclear. The objective of this systematic genetic study is to identify “novel” biomarkers for OSA using systems biology approach. Methods. Candidate genes for OSA were extracted from PubMed, MEDLINE, and Embase search engines and DisGeNET database. The gene ontology (GO analyses and candidate genes prioritization were performed using Enrichr tool. Genes pertaining to the top 10 pathways were extracted and used for Ingenuity Pathway Analysis. Results. In total, we have identified 153 genes. The top 10 pathways associated with OSA include (i serotonin receptor interaction, (ii pathways in cancer, (iii AGE-RAGE signaling in diabetes, (iv infectious diseases, (v serotonergic synapse, (vi inflammatory bowel disease, (vii HIF-1 signaling pathway, (viii PI3-AKT signaling pathway, (ix regulation lipolysis in adipocytes, and (x rheumatoid arthritis. After removing the overlapping genes, we have identified 23 candidate genes, out of which >30% of the genes were related to the genes involved in the serotonin pathway. Among these 4 serotonin receptors SLC6A4, HTR2C, HTR2A, and HTR1B were strongly associated with OSA. Conclusions. This preliminary report identifies several potential candidate genes associated with OSA and also describes the possible regulatory mechanisms.

  17. Stability analysis of delayed genetic regulatory networks with stochastic disturbances

    Energy Technology Data Exchange (ETDEWEB)

    Zhou Qi, E-mail: zhouqilhy@yahoo.com.c [School of Automation, Nanjing University of Science and Technology, Nanjing 210094, Jiangsu (China); Xu Shengyuan [School of Automation, Nanjing University of Science and Technology, Nanjing 210094, Jiangsu (China); Chen Bing [Institute of Complexity Science, Qingdao University, Qingdao 266071, Shandong (China); Li Hongyi [Space Control and Inertial Technology Research Center, Harbin Institute of Technology, Harbin 150001 (China); Chu Yuming [Department of Mathematics, Huzhou Teacher' s College, Huzhou 313000, Zhejiang (China)

    2009-10-05

    This Letter considers the problem of stability analysis of a class of delayed genetic regulatory networks with stochastic disturbances. The delays are assumed to be time-varying and bounded. By utilizing Ito's differential formula and Lyapunov-Krasovskii functionals, delay-range-dependent and rate-dependent (rate-independent) stability criteria are proposed in terms of linear matrices inequalities. An important feature of the proposed results is that all the stability conditions are dependent on the upper and lower bounds of the delays. Another important feature is that the obtained stability conditions are less conservative than certain existing ones in the literature due to introducing some appropriate free-weighting matrices. A simulation example is employed to illustrate the applicability and effectiveness of the proposed methods.

  18. Genetic analysis of the cytoplasmic dynein subunit families.

    Science.gov (United States)

    Pfister, K Kevin; Shah, Paresh R; Hummerich, Holger; Russ, Andreas; Cotton, James; Annuar, Azlina Ahmad; King, Stephen M; Fisher, Elizabeth M C

    2006-01-01

    Cytoplasmic dyneins, the principal microtubule minus-end-directed motor proteins of the cell, are involved in many essential cellular processes. The major form of this enzyme is a complex of at least six protein subunits, and in mammals all but one of the subunits are encoded by at least two genes. Here we review current knowledge concerning the subunits, their interactions, and their functional roles as derived from biochemical and genetic analyses. We also carried out extensive database searches to look for new genes and to clarify anomalies in the databases. Our analysis documents evolutionary relationships among the dynein subunits of mammals and other model organisms, and sheds new light on the role of this diverse group of proteins, highlighting the existence of two cytoplasmic dynein complexes with distinct cellular roles.

  19. Genetic analysis of the cytoplasmic dynein subunit families.

    Directory of Open Access Journals (Sweden)

    K Kevin Pfister

    2006-01-01

    Full Text Available Cytoplasmic dyneins, the principal microtubule minus-end-directed motor proteins of the cell, are involved in many essential cellular processes. The major form of this enzyme is a complex of at least six protein subunits, and in mammals all but one of the subunits are encoded by at least two genes. Here we review current knowledge concerning the subunits, their interactions, and their functional roles as derived from biochemical and genetic analyses. We also carried out extensive database searches to look for new genes and to clarify anomalies in the databases. Our analysis documents evolutionary relationships among the dynein subunits of mammals and other model organisms, and sheds new light on the role of this diverse group of proteins, highlighting the existence of two cytoplasmic dynein complexes with distinct cellular roles.

  20. Triglyceride-Rich Lipoproteins and Atherosclerotic Cardiovascular Disease: New Insights From Epidemiology, Genetics, and Biology.

    Science.gov (United States)

    Nordestgaard, Børge G

    2016-02-19

    Scientific interest in triglyceride-rich lipoproteins has fluctuated over the past many years, ranging from beliefs that these lipoproteins cause atherosclerotic cardiovascular disease (ASCVD) to being innocent bystanders. Correspondingly, clinical recommendations have fluctuated from a need to reduce levels to no advice on treatment. New insight in epidemiology now suggests that these lipoproteins, marked by high triglycerides, are strong and independent predictors of ASCVD and all-cause mortality, and that their cholesterol content or remnant cholesterol likewise are strong predictors of ASCVD. Of all adults, 27% have triglycerides >2 mmol/L (176 mg/dL), and 21% have remnant cholesterol >1 mmol/L (39 mg/dL). For individuals in the general population with nonfasting triglycerides of 6.6 mmol/L (580 mg/dL) compared with individuals with levels of 0.8 mmol/L (70 mg/dL), the risks were 5.1-fold for myocardial infarction, 3.2-fold for ischemic heart disease, 3.2-fold for ischemic stroke, and 2.2-fold for all-cause mortality. Also, genetic studies using the Mendelian randomization design, an approach that minimizes problems with confounding and reverse causation, now demonstrate that triglyceride-rich lipoproteins are causally associated with ASCVD and all-cause mortality. Finally, genetic evidence also demonstrates that high concentrations of triglyceride-rich lipoproteins are causally associated with low-grade inflammation. This suggests that an important part of inflammation in atherosclerosis and ASCVD is because of triglyceride-rich lipoprotein degradation and uptake into macrophage foam cells in the arterial intima. Taken together, new insights now strongly suggest that elevated triglyceride-rich lipoproteins represent causal risk factors for low-grade inflammation, ASCVD, and all-cause mortality. © 2016 American Heart Association, Inc.

  1. Genetic hotels for the standard genetic code: evolutionary analysis based upon novel three-dimensional algebraic models.

    Science.gov (United States)

    José, Marco V; Morgado, Eberto R; Govezensky, Tzipe

    2011-07-01

    Herein, we rigorously develop novel 3-dimensional algebraic models called Genetic Hotels of the Standard Genetic Code (SGC). We start by considering the primeval RNA genetic code which consists of the 16 codons of type RNY (purine-any base-pyrimidine). Using simple algebraic operations, we show how the RNA code could have evolved toward the current SGC via two different intermediate evolutionary stages called Extended RNA code type I and II. By rotations or translations of the subset RNY, we arrive at the SGC via the former (type I) or via the latter (type II), respectively. Biologically, the Extended RNA code type I, consists of all codons of the type RNY plus codons obtained by considering the RNA code but in the second (NYR type) and third (YRN type) reading frames. The Extended RNA code type II, comprises all codons of the type RNY plus codons that arise from transversions of the RNA code in the first (YNY type) and third (RNR) nucleotide bases. Since the dimensions of remarkable subsets of the Genetic Hotels are not necessarily integer numbers, we also introduce the concept of algebraic fractal dimension. A general decoding function which maps each codon to its corresponding amino acid or the stop signals is also derived. The Phenotypic Hotel of amino acids is also illustrated. The proposed evolutionary paths are discussed in terms of the existing theories of the evolution of the SGC. The adoption of 3-dimensional models of the Genetic and Phenotypic Hotels will facilitate the understanding of the biological properties of the SGC.

  2. Genetic Analysis of Mice Skin Exposed by Hyper-Gravity

    Science.gov (United States)

    Takahashi, Rika; Terada, Masahiro; Seki, Masaya; Higashibata, Akira; Majima, Hideyuki J.; Ohira, Yoshinobu; Mukai, Chiaki; Ishioka, Noriaki

    2013-02-01

    In the space environment, physiological alterations, such as low bone density, muscle weakness and decreased immunity, are caused by microgravity and cosmic radiation. On the other hand, it is known that the leg muscles are hypertrophy by 2G-gravity. An understanding of the effects on human body from microgravity to hyper-gravity is very important. Recently, the Japan Aerospace Exploration Agency (JAXA) has started a project to detect the changes on gene expression and mineral metabolism caused by microgravity by analyzing the hair of astronauts who stay in the international Space Station (ISS) for a long time. From these results of human hair’s research, the genetic effects of human hair roots by microgravity will become clear. However, it is unclear how the gene expression of hair roots was effected by hypergravity. Therefore, in this experiment, we analyzed the effect on mice skin contained hair roots by comparing microgravity or hypergravity exposed mice. The purpose of this experiment is to evaluate the genetic effects on mice skin by microgravity or 2G-gravity. The samples were taken from mice exposed to space flight (FL) or hypergravity environment (2G) for 3-months, respectively. The extracted and amplified RNA from these mice skin was used to DNA microarray analysis. in this experiment, we analyzed the effect of gravity by using mice skin contained hair roots, which exposed space (FL) and hyper-gravity (2G) for 3 months and each control. By DNA microarray analysis, we found the common 98 genes changed in both FL and 2G. Among these 98 genes, the functions and pathways were identified by Gene Ontology (GO) analysis and Ingenuity Pathways Analysis (IPA) software. Next, we focused the one of the identified pathways and compared the effects on each molecules in this pathways by the different environments, such as FL and 2G. As the results, we could detect some interesting molecules, which might be depended on the gravity levels. In addition, to investigate

  3. CADDIS Volume 4. Data Analysis: Biological and Environmental Data Requirements

    Science.gov (United States)

    Overview of PECBO Module, using scripts to infer environmental conditions from biological observations, statistically estimating species-environment relationships, methods for inferring environmental conditions, statistical scripts in module.

  4. Bioinformatics Database Tools in Analysis of Genetics of Neurodevelopmental Disorders

    Directory of Open Access Journals (Sweden)

    Dibyashree Mallik

    2017-10-01

    Full Text Available Bioinformatics tools are recently used in various sectors of biology. Many questions regarding Neurodevelopmental disorder which arises as a major health issue recently can be solved by using various bioinformatics databases. Schizophrenia is such a mental disorder which is now arises as a major threat in young age people because it is mostly seen in case of people during their late adolescence or early adulthood period. Databases like DISGENET, GWAS, PHARMGKB, and DRUGBANK have huge repository of genes associated with schizophrenia. We found a lot of genes are being associated with schizophrenia, but approximately 200 genes are found to be present in any of these databases. After further screening out process 20 genes are found to be highly associated with each other and are also a common genes in many other diseases also. It is also found that they all are serves as a common targeting gene in many antipsychotic drugs. After analysis of various biological properties, molecular function it is found that these 20 genes are mostly involved in biological regulation process and are having receptor activity. They are belonging mainly to receptor protein class. Among these 20 genes CYP2C9, CYP3A4, DRD2, HTR1A, HTR2A are shown to be a main targeting genes of most of the antipsychotic drugs and are associated with  more than 40% diseases. The basic findings of the present study enumerated that a suitable combined drug can be design by targeting these genes which can be used for the better treatment of schizophrenia.

  5. Biological monitoring the exposure to polycyclic aromatic hydrocarbons of coke oven workers in relation to smoking and genetic polymorphisms for GSTM1 and GSTT1

    Energy Technology Data Exchange (ETDEWEB)

    Joost H.M. van Delft; Marie-Jose S.T. Steenwinkel; Jeff G. van Asten; Nico de Vogel; Truus C.D.M. Bruijntjes-Rozier; Ton Schouten; Patricia Cramers; Lou Maas; Marcel H. van Herwijnen; Frederik-Jan van Schooten; Piet M.J. Hopmans [TNO Nutrition and Food Research Institute (Netherlands). Toxicology Division

    2001-07-01

    Occupational exposure to polycyclic aromatic hydrocarbons (PAH) increases the risk of developing lung cancer. Human exposure is often demonstrated by increased internal levels of PAH metabolites and of markers for early biological effects, like DNA adducts and cytogenetic aberrations. This study aimed to assess whether the current exposure to PAH of coke oven workers in a Dutch plant induced biological effects, and to determine if these effects are influenced by tobacco smoking and by genetic polymorphisms for the glutathione S-transferase genes GSTM1 and GSTT1. Urinary 1-hydroxypyrene (1-OHpyr) levels were used to monitor the internal dose, while the internal effective dose was assessed by monitoring PAH-DNA adducts, DNA strand breaks (Comet assay), sister-chromatid exchanges (SCE) and cells with a high frequency of SCE (HFC) in lymphocytes together with micronuclei (MN) in exfoliated urothelial cells. Occupational exposure to PAH resulted in statistically significant increased 1-OHpyr levels, but it did not cause a significant induction of SCE, HFC, MN, DNA strand breaks or DNA adducts. Smoking caused a significant increase of 1-OHpyr, SCE, HFC and DNA adducts, but not of MN or DNA strand breaks. Following correction for the smoking-related effects, no occupational induction of the effect biomarkers could be discerned. Multi-variate analysis did not show a significant influence of GSTM1 and GSTT1 polymorphisms on any biomarker. Also no significant interactions were observed between the various biomarkers.

  6. Analysis of genetic effects of nuclear-cytoplasmic interaction on quantitative traits: genetic model for diploid plants.

    Science.gov (United States)

    Han, Lide; Yang, Jian; Zhu, Jun

    2007-06-01

    A genetic model was proposed for simultaneously analyzing genetic effects of nuclear, cytoplasm, and nuclear-cytoplasmic interaction (NCI) as well as their genotype by environment (GE) interaction for quantitative traits of diploid plants. In the model, the NCI effects were further partitioned into additive and dominance nuclear-cytoplasmic interaction components. Mixed linear model approaches were used for statistical analysis. On the basis of diallel cross designs, Monte Carlo simulations showed that the genetic model was robust for estimating variance components under several situations without specific effects. Random genetic effects were predicted by an adjusted unbiased prediction (AUP) method. Data on four quantitative traits (boll number, lint percentage, fiber length, and micronaire) in Upland cotton (Gossypium hirsutum L.) were analyzed as a worked example to show the effectiveness of the model.

  7. The Genetic Analysis of an Acinetobacter johnsonii Clinical Strain Evidenced the Presence of Horizontal Genetic Transfer.

    Directory of Open Access Journals (Sweden)

    Sabrina Montaña

    Full Text Available Acinetobacter johnsonii rarely causes human infections. While most A. johnsonii isolates are susceptible to virtually all antibiotics, strains harboring a variety of β-lactamases have recently been described. An A. johnsonii Aj2199 clinical strain recovered from a hospital in Buenos Aires produces PER-2 and OXA-58. We decided to delve into its genome by obtaining the whole genome sequence of the Aj2199 strain. Genome comparison studies on Aj2199 revealed 240 unique genes and a close relation to strain WJ10621, isolated from the urine of a patient in China. Genomic analysis showed evidence of horizontal genetic transfer (HGT events. Forty-five insertion sequences and two intact prophages were found in addition to several resistance determinants such as blaPER-2, blaOXA-58, blaTEM-1, strA, strB, ereA, sul1, aacC2 and a new variant of blaOXA-211, called blaOXA-498. In particular, blaPER-2 and blaTEM-1 are present within the typical contexts previously described in the Enterobacteriaceae family. These results suggest that A. johnsonii actively acquires exogenous DNA from other bacterial species and concomitantly becomes a reservoir of resistance genes.

  8. Analysis of hazardous biological material by MALDI mass spectrometry

    Energy Technology Data Exchange (ETDEWEB)

    KL Wahl; KH Jarman; NB Valentine; MT Kingsley; CE Petersen; ST Cebula; AJ Saenz

    2000-03-21

    Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-MS) has become a valuable tool for analyzing microorganisms. The speed with which data can be obtained from MALDI-MS makes this a potentially important tool for biological health hazard monitoring and forensic applications. The excitement in the mass spectrometry community in this potential field of application is evident by the expanding list of research laboratories pursuing development of MALDI-MS for bacterial identification. Numerous research groups have demonstrated the ability to obtain unique MALDI-MS spectra from intact bacterial cells and bacterial cell extracts. The ability to differentiate strains of the same species has been investigated. Reproducibility of MALDI-MS spectra from bacterial species under carefully controlled experimental conditions has also been demonstrated. Wang et al. have reported on interlaboratory reproducibility of the MALDI-MS analysis of several bacterial species. However, there are still issues that need to be addressed, including the careful control of experimental parameters for reproducible spectra and selection of optimal experimental parameters such as solvent and matrix.

  9. A microfluidic dialysis device for complex biological mixture SERS analysis

    KAUST Repository

    Perozziello, Gerardo

    2015-08-01

    In this paper, we present a microfluidic device fabricated with a simple and inexpensive process allowing rapid filtering of peptides from a complex mixture. The polymer microfluidic device can be used for sample preparation in biological applications. The device is fabricated by micromilling and solvent assisted bonding, in which a microdialysis membrane (cut-off of 12-14 kDa) is sandwiched in between an upper and a bottom microfluidic chamber. An external frame connects the microfluidic device to external tubes, microvalves and syringe pumps. Bonding strength and interface sealing are pneumatically tested. Microfluidic protocols are also described by using the presented device to filter a sample composed of specific peptides (MW 1553.73 Da, at a concentration of 1.0 ng/μl) derived from the BRCA1 protein, a tumor-suppressor molecule which plays a pivotal role in the development of breast cancer, and albumin (MW 66.5 kDa, at a concentration of 35 μg/μl), the most represented protein in human plasma. The filtered samples coming out from the microfluidic device were subsequently deposited on a SERS (surface enhanced Raman scattering) substrate for further analysis by Raman spectroscopy. By using this approach, we were able to sort the small peptides from the bigger and highly concentrated protein albumin and to detect them by using a label-free technique at a resolution down to 1.0 ng/μl.

  10. The expanding universe of mass analyzer configurations for biological analysis.

    Science.gov (United States)

    Calvete, Juan J

    2014-01-01

    Mass spectrometry (MS) is an analytical technique that measures the mass-to-charge ratio of electrically charged gas-phase particles. All mass spectrometers combine ion formation, mass analysis, and ion detection. Although mass analyzers can be regarded as sophisticated devices that manipulate ions in space and time, the rich diversity of possible ways to combine ion separation, focusing, and detection in dynamic mass spectrometers accounts for the large number of instrument designs. A historical perspective of the progress in mass spectrometry that since 1965 until today have contributed to position this technique as an indispensable tool for biological research has been recently addressed by a privileged witness of this golden age of MS (Gelpí J. Mass Spectrom 43:419-435, 2008; Gelpí J. Mass Spectrom 44:1137-1161, 2008). The aim of this chapter is to highlight the view that the operational principles of mass spectrometry can be understood by a simple mathematical language, and that an understanding of the basic concepts of mass spectrometry is necessary to take the most out of this versatile technique.

  11. A critical analysis of the biological impacts of plasticizers on wildlife

    Science.gov (United States)

    Oehlmann, Jörg; Schulte-Oehlmann, Ulrike; Kloas, Werner; Jagnytsch, Oana; Lutz, Ilka; Kusk, Kresten O.; Wollenberger, Leah; Santos, Eduarda M.; Paull, Gregory C.; Van Look, Katrien J. W.; Tyler, Charles R.

    2009-01-01

    This review provides a critical analysis of the biological effects of the most widely used plasticizers, including dibutyl phthalate, diethylhexyl phthalate, dimethyl phthalate, butyl benzyl phthalate and bisphenol A (BPA), on wildlife, with a focus on annelids (both aquatic and terrestrial), molluscs, crustaceans, insects, fish and amphibians. Moreover, the paper provides novel data on the biological effects of some of these plasticizers in invertebrates, fish and amphibians. Phthalates and BPA have been shown to affect reproduction in all studied animal groups, to impair development in crustaceans and amphibians and to induce genetic aberrations. Molluscs, crustaceans and amphibians appear to be especially sensitive to these compounds, and biological effects are observed at environmentally relevant exposures in the low ng l−1 to µg l−1 range. In contrast, most effects in fish (except for disturbance in spermatogenesis) occur at higher concentrations. Most plasticizers appear to act by interfering with the functioning of various hormone systems, but some phthalates have wider pathways of disruption. Effect concentrations of plasticizers in laboratory experiments coincide with measured environmental concentrations, and thus there is a very real potential for effects of these chemicals on some wildlife populations. The most striking gaps in our current knowledge on the impacts of plasticizers on wildlife are the lack of data for long-term exposures to environmentally relevant concentrations and their ecotoxicity when part of complex mixtures. Furthermore, the hazard of plasticizers has been investigated in annelids, molluscs and arthropods only, and given the sensitivity of some invertebrates, effects assessments are warranted in other invertebrate phyla. PMID:19528055

  12. Grades and Withdrawal Rates in Cell Biology and Genetics Based upon Institution Type for General Biology and Implications for Transfer Articulation Agreements

    Science.gov (United States)

    Regier, Kimberly Fayette

    2016-01-01

    General biology courses (for majors) are often transferred from one institution to another. These courses must prepare students for upper division courses in biology. In Colorado, a Biology Transfer Articulation Agreement that includes general biology has been created across the state. An evaluation was conducted of course grades in two upper…

  13. Ecology Content in Introductory Biology Courses: A Comparative Analysis

    Science.gov (United States)

    Pool, Richard F.; Turner, Gregory D.; Böttger, S. Anne

    2013-01-01

    In recent years the need for ecological literacy and problem solving has increased, but there is no evidence that this need is reflected by increased ecology coverage at institutions of higher education (IHE) across the United States. Because introductory biology courses may serve to direct student interest toward particular biological categories…

  14. Uric acid in plants and microorganisms: Biological applications and genetics - A review.

    Science.gov (United States)

    Hafez, Rehab M; Abdel-Rahman, Tahany M; Naguib, Rasha M

    2017-09-01

    Uric acid increased accumulation and/or reduced excretion in human bodies is closely related to pathogenesis of gout and hyperuricemia. It is highly affected by the high intake of food rich in purine. Uric acid is present in both higher plants and microorganisms with species dependent concentration. Urate-degrading enzymes are found both in plants and microorganisms but the mechanisms by which plant degrade uric acid was found to be different among them. Higher plants produce various metabolites which could inhibit xanthine oxidase and xanthine oxidoreductase, so prohibit the oxidation of hypoxanthine to xanthine then to uric acid in the purine metabolism. However, microorganisms produce group of degrading enzymes uricase, allantoinase, allantoicase and urease, which catalyze the degradation of uric acid to the ammonia. In humans, researchers found that several mutations caused a pseudogenization (silencing) of the uricase gene in ancestral apes which exist as an insoluble crystalloid in peroxisomes. This is in contrast to microorganisms in which uricases are soluble and exist either in cytoplasm or peroxisomes. Moreover, many recombinant uricases with higher activity than the wild type uricases could be induced successfully in many microorganisms. The present review deals with the occurrence of uric acid in plants and other organisms specially microorganisms in addition to the mechanisms by which plant extracts, metabolites and enzymes could reduce uric acid in blood. The genetic and genes encoding for uric acid in plants and microorganisms are also presented.

  15. Uric acid in plants and microorganisms: Biological applications and genetics - A review

    Directory of Open Access Journals (Sweden)

    Rehab M. Hafez

    2017-09-01

    Full Text Available Uric acid increased accumulation and/or reduced excretion in human bodies is closely related to pathogenesis of gout and hyperuricemia. It is highly affected by the high intake of food rich in purine. Uric acid is present in both higher plants and microorganisms with species dependent concentration. Urate-degrading enzymes are found both in plants and microorganisms but the mechanisms by which plant degrade uric acid was found to be different among them. Higher plants produce various metabolites which could inhibit xanthine oxidase and xanthine oxidoreductase, so prohibit the oxidation of hypoxanthine to xanthine then to uric acid in the purine metabolism. However, microorganisms produce group of degrading enzymes uricase, allantoinase, allantoicase and urease, which catalyze the degradation of uric acid to the ammonia. In humans, researchers found that several mutations caused a pseudogenization (silencing of the uricase gene in ancestral apes which exist as an insoluble crystalloid in peroxisomes. This is in contrast to microorganisms in which uricases are soluble and exist either in cytoplasm or peroxisomes. Moreover, many recombinant uricases with higher activity than the wild type uricases could be induced successfully in many microorganisms. The present review deals with the occurrence of uric acid in plants and other organisms specially microorganisms in addition to the mechanisms by which plant extracts, metabolites and enzymes could reduce uric acid in blood. The genetic and genes encoding for uric acid in plants and microorganisms are also presented.

  16. Molecular and Biological Analysis of Potato virus M (PVM) Isolates from the Czech Republic

    Czech Academy of Sciences Publication Activity Database

    Plchová, Helena; Vaculík, Petr; Čeřovská, Noemi; Moravec, Tomáš; Dědič, P.

    2015-01-01

    Roč. 163, 11-12 (2015), s. 1031-1035 ISSN 0931-1785 R&D Projects: GA MŠk 1M06030 Institutional support: RVO:61389030 Keywords : Czech Republic * phylogeny * Potato virus M Subject RIV: EB - Genetics ; Molecular Biology Impact factor: 0.945, year: 2015

  17. Use of Biological Methods in Criminology

    OpenAIRE

    Müllerová, Nikola

    2014-01-01

    Criminology is a science dealing with the protection of citizens and state from infringement. Criminology uses mostly biological or genetic methods for crime detection. Forensic traces which are collected by forensic experts on the scene are the key items of those methods. Forensic genetics is among the most important forensic subdisciplines. Forensic genetics uses DNA analysis for identification. The main aims of this study are description and importance of biological, anthropological and ge...

  18. Genetic causes of amyotrophic lateral sclerosis: new genetic analysis methodologies entailing new opportunities and challenges

    Science.gov (United States)

    Marangi, Giuseppe; Traynor, Bryan J.

    2018-01-01

    The genetic architecture of amyotrophic lateral sclerosis (ALS) is being increasingly understood. In this far-reaching review, we examine what is currently known about ALS genetics and how these genes were initially identified. We also discuss the various types of mutations that might underlie this fatal neurodegenerative condition and outline some of the strategies that might be useful in untangling them. These include expansions of short repeat sequences, common and low-frequency genetic variations, de novo mutations, epigenetic changes, somatic mutations, epistasis, oligogenic and polygenic hypotheses. PMID:25316630

  19. Feature selection using genetic algorithms for fetal heart rate analysis

    International Nuclear Information System (INIS)

    Xu, Liang; Redman, Christopher W G; Georgieva, Antoniya; Payne, Stephen J

    2014-01-01

    The fetal heart rate (FHR) is monitored on a paper strip (cardiotocogram) during labour to assess fetal health. If necessary, clinicians can intervene and assist with a prompt delivery of the baby. Data-driven computerized FHR analysis could help clinicians in the decision-making process. However, selecting the best computerized FHR features that relate to labour outcome is a pressing research problem. The objective of this study is to apply genetic algorithms (GA) as a feature selection method to select the best feature subset from 64 FHR features and to integrate these best features to recognize unfavourable FHR patterns. The GA was trained on 404 cases and tested on 106 cases (both balanced datasets) using three classifiers, respectively. Regularization methods and backward selection were used to optimize the GA. Reasonable classification performance is shown on the testing set for the best feature subset (Cohen's kappa values of 0.45 to 0.49 using different classifiers). This is, to our knowledge, the first time that a feature selection method for FHR analysis has been developed on a database of this size. This study indicates that different FHR features, when integrated, can show good performance in predicting labour outcome. It also gives the importance of each feature, which will be a valuable reference point for further studies. (paper)

  20. Clinical features and genetic analysis of tuberous sclerosis pedigrees

    Directory of Open Access Journals (Sweden)

    LI Ya-qin

    2012-06-01

    Full Text Available Objective In order to understand tuberous sclerosis complex better, the clinical manifestation, imaging characteristics, and genetic characteristics of tuberous sclerosis complex from 3 pedigrees were investigated. Methods The clinical data of patients from 3 tuberous sclerosis families were collected. The gene mutation type of TSC2 of proband in pedigree one was determined by PCR and direct gene sequencing. Results All of the 3 probands went to our clinic for the reason of epilepsy. Brain imaging examination noted intracranial nodular calcification. EEG showed comprehensive spines and slow waves, sharp waves. The pedigree 1 has family history, two male patients and 3 female patients, all had facial angiofibromas and epilepsy. Gene mutation analysis of TSC2 demonstrated the c.1444-2A > C mutation in index patient. All the 3 index patients had mental retardation, autism and hypopigmented macule. Conclusion For infants and young children with epilepsy as the first symptom, accompanied by mental retardation, autism, facial angiofibromas or hypopigmented macule and other skin abnormalities, brain imaging examination noted intracranial nodular calcification are highly suggestive of tuberous sclerosis complex. TSC1 and TSC2 gene analysis contribute to the diagnosis of this disease, genentic counseling and prenatal diagnosis.

  1. Genetic and environmental contributions to body mass index: comparative analysis of monozygotic twins, dizygotic twins and same-age unrelated siblings.

    Science.gov (United States)

    Segal, N L; Feng, R; McGuire, S A; Allison, D B; Miller, S

    2009-01-01

    Earlier studies have established that a substantial percentage of variance in obesity-related phenotypes is explained by genetic components. However, only one study has used both virtual twins (VTs) and biological twins and was able to simultaneously estimate additive genetic, non-additive genetic, shared environmental and unshared environmental components in body mass index (BMI). Our current goal was to re-estimate four components of variance in BMI, applying a more rigorous model to biological and virtual multiples with additional data. Virtual multiples share the same family environment, offering unique opportunities to estimate common environmental influence on phenotypes that cannot be separated from the non-additive genetic component using only biological multiples. Data included 929 individuals from 164 monozygotic twin pairs, 156 dizygotic twin pairs, five triplet sets, one quadruplet set, 128 VT pairs, two virtual triplet sets and two virtual quadruplet sets. Virtual multiples consist of one biological child (or twins or triplets) plus one same-aged adoptee who are all raised together since infancy. We estimated the additive genetic, non-additive genetic, shared environmental and unshared random components in BMI using a linear mixed model. The analysis was adjusted for age, age(2), age(3), height, height(2), height(3), gender and race. Both non-additive genetic and common environmental contributions were significant in our model (P-valuesrole in BMI and that common environmental factors such as diet or exercise also affect BMI. This conclusion is consistent with our earlier study using a smaller sample and shows the utility of virtual multiples for separating non-additive genetic variance from common environmental variance.

  2. Stochastic biological response to radiation. Comprehensive analysis of gene expression

    International Nuclear Information System (INIS)

    Inoue, Tohru; Hirabayashi, Yoko

    2012-01-01

    Authors explain that the radiation effect on biological system is stochastic along the law of physics, differing from chemical effect, using instances of Cs-137 gamma-ray (GR) and benzene (BZ) exposures to mice and of resultant comprehensive analyses of gene expression. Single GR irradiation is done with Gamma Cell 40 (CSR) to C57BL/6 or C3H/He mouse at 0, 0.6 and 3 Gy. BE is given orally at 150 mg/kg/day for 5 days x 2 weeks. Bone marrow cells are sampled 1 month after the exposure. Comprehensive gene expression is analyzed by Gene Chip Mouse Genome 430 2.0 Array (Affymetrix) and data are processed by programs like case normalization, statistics, network generation, functional analysis etc. GR irradiation brings about changes of gene expression, which are classifiable in common genes variable commonly on the dose change and stochastic genes variable stochastically within each dose: e.g., with Welch-t-test, significant differences are between 0/3 Gy (dose-specific difference, 455 pbs (probe set), in stochastic 2113 pbs), 0/0.6 Gy (267 in 1284 pbs) and 0.6/3 Gy (532 pbs); and with one-way analysis of variation (ANOVA) and hierarchial/dendrographic analyses, 520 pbs are shown to involve the dose-dependent 226 and dose-specific 294 pbs. It is also shown that at 3 Gy, expression of common genes are rather suppressed, including those related to the proliferation/apoptosis of B/T cells, and of stochastic genes, related to cell division/signaling. Ven diagram of the common genes of above 520 pbs, stochastic 2113 pbs at 3 Gy and 1284 pbs at 0.6 Gy shows the overlapping genes 29, 2 and 4, respectively, indicating only 35 pbs are overlapping in total. Network analysis of changes by GR shows the rather high expression of genes around hub of cAMP response element binding protein (CREB) at 0.6 Gy, and rather variable expression around CREB hub/suppressed expression of kinesin hub at 3 Gy; in the network by BZ exposure, unchanged or low expression around p53 hub and suppression

  3. Meta-analysis and genome-wide interpretation of genetic susceptibility to drug addiction

    Science.gov (United States)

    2011-01-01

    Background Classical genetic studies provide strong evidence for heritable contributions to susceptibility to developing dependence on addictive substances. Candidate gene and genome-wide association studies (GWAS) have sought genes, chromosomal regions and allelic variants likely to contribute to susceptibility to drug addiction. Results Here, we performed a meta-analysis of addiction candidate gene association studies and GWAS to investigate possible functional mechanisms associated with addiction susceptibility. From meta-data retrieved from 212 publications on candidate gene association studies and 5 GWAS reports, we linked a total of 843 haplotypes to addiction susceptibility. We mapped the SNPs in these haplotypes to functional and regulatory elements in the genome and estimated the magnitude of the contributions of different molecular mechanisms to their effects on addiction susceptibility. In addition to SNPs in coding regions, these data suggest that haplotypes in gene regulatory regions may also contribute to addiction susceptibility. When we compared the lists of genes identified by association studies and those identified by molecular biological studies of drug-regulated genes, we observed significantly higher participation in the same gene interaction networks than expected by chance, despite little overlap between the two gene lists. Conclusions These results appear to offer new insights into the genetic factors underlying drug addiction. PMID:21999673

  4. GeneAnalytics Pathway Analysis and Genetic Overlap among Autism Spectrum Disorder, Bipolar Disorder and Schizophrenia

    Directory of Open Access Journals (Sweden)

    Naveen S. Khanzada

    2017-02-01

    Full Text Available Bipolar disorder (BPD and schizophrenia (SCH show similar neuropsychiatric behavioral disturbances, including impaired social interaction and communication, seen in autism spectrum disorder (ASD with multiple overlapping genetic and environmental influences implicated in risk and course of illness. GeneAnalytics software was used for pathway analysis and genetic profiling to characterize common susceptibility genes obtained from published lists for ASD (792 genes, BPD (290 genes and SCH (560 genes. Rank scores were derived from the number and nature of overlapping genes, gene-disease association, tissue specificity and gene functions subdivided into categories (e.g., diseases, tissues or functional pathways. Twenty-three genes were common to all three disorders and mapped to nine biological Superpathways including Circadian entrainment (10 genes, score = 37.0, Amphetamine addiction (five genes, score = 24.2, and Sudden infant death syndrome (six genes, score = 24.1. Brain tissues included the medulla oblongata (11 genes, score = 2.1, thalamus (10 genes, score = 2.0 and hypothalamus (nine genes, score = 2.0 with six common genes (BDNF, DRD2, CHRNA7, HTR2A, SLC6A3, and TPH2. Overlapping genes impacted dopamine and serotonin homeostasis and signal transduction pathways, impacting mood, behavior and physical activity level. Converging effects on pathways governing circadian rhythms support a core etiological relationship between neuropsychiatric illnesses and sleep disruption with hypoxia and central brain stem dysfunction.

  5. Analysis of the genetic basis of disease in the context of worldwide human relationships and migration.

    Directory of Open Access Journals (Sweden)

    Erik Corona

    2013-05-01

    Full Text Available Genetic diversity across different human populations can enhance understanding of the genetic basis of disease. We calculated the genetic risk of 102 diseases in 1,043 unrelated individuals across 51 populations of the Human Genome Diversity Panel. We found that genetic risk for type 2 diabetes and pancreatic cancer decreased as humans migrated toward East Asia. In addition, biliary liver cirrhosis, alopecia areata, bladder cancer, inflammatory bowel disease, membranous nephropathy, systemic lupus erythematosus, systemic sclerosis, ulcerative colitis, and vitiligo have undergone genetic risk differentiation. This analysis represents a large-scale attempt to characterize genetic risk differentiation in the context of migration. We anticipate that our findings will enable detailed analysis pertaining to the driving forces behind genetic risk differentiation.

  6. Genetic analysis of three South African horse breeds

    Directory of Open Access Journals (Sweden)

    E.G. Cothran

    1998-07-01

    Full Text Available Genetic variability at 7 blood-group and 10 biochemical genetic loci was examined in 3 South African horse breeds, the Nooitgedacht, Boerperd and Basuto Pony. Observed heterozygosity for these breeds was intermediate for domestic horses, with the highest heterozygosity in the Boerperd and the lowest in the Basuto Pony. The 3 breeds show greater genetic similarity to each other than to other domestic horse breeds. Compared to other breeds, the South African breeds show greater genetic similarity to breeds such as the Thoroughbred, Holstein, Trakehner and Hanovarian and also to North American breeds such as the Saddlebred, Standardbred and Morgan Horse.

  7. Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function

    NARCIS (Netherlands)

    Pattaro, Cristian; Teumer, Alexander; Gorski, Mathias; Chu, Audrey Y; Li, Man; Mijatovic, Vladan; Garnaas, Maija; Tin, Adrienne; Sorice, Rossella; Li, Yong; Taliun, Daniel; Olden, Matthias; Foster, Meredith; Yang, Qiong; Chen, Ming-Huei; Pers, Tune H; Johnson, Andrew D; Ko, Yi-An; Fuchsberger, Christian; Tayo, Bamidele; Nalls, Michael; Feitosa, Mary F; Isaacs, Aaron; Dehghan, Abbas; d'Adamo, Pio; Adeyemo, Adebowale; Dieffenbach, Aida Karina; Zonderman, Alan B; Nolte, Ilja M; van der Most, Peter J; Wright, Alan F; Shuldiner, Alan R; Morrison, Alanna C; Hofman, Albert; Smith, Albert V; Dreisbach, Albert W; Franke, Andre; Uitterlinden, Andre G; Metspalu, Andres; Tonjes, Anke; Lupo, Antonio; Robino, Antonietta; Johansson, Åsa; Demirkan, Ayse; Kollerits, Barbara; Freedman, Barry I; Ponte, Belen; Oostra, Ben A; Paulweber, Bernhard; Krämer, Bernhard K; Mitchell, Braxton D; Buckley, Brendan M; Peralta, Carmen A; Hayward, Caroline; Helmer, Catherine; Rotimi, Charles N; Shaffer, Christian M; Müller, Christian; Sala, Cinzia; van Duijn, Cornelia M; Saint-Pierre, Aude; Ackermann, Daniel; Shriner, Daniel; Ruggiero, Daniela; Toniolo, Daniela; Lu, Yingchang; Cusi, Daniele; Czamara, Darina; Ellinghaus, David; Siscovick, David S; Ruderfer, Douglas; Gieger, Christian; Grallert, Harald; Rochtchina, Elena; Atkinson, Elizabeth J; Holliday, Elizabeth G; Boerwinkle, Eric; Salvi, Erika; Bottinger, Erwin P; Murgia, Federico; Rivadeneira, Fernando; Ernst, Florian; Kronenberg, Florian; Hu, Frank B; Navis, Gerjan J; Curhan, Gary C; Ehret, George B; Homuth, Georg; Coassin, Stefan; Thun, Gian-Andri; Pistis, Giorgio; Gambaro, Giovanni; Malerba, Giovanni; Montgomery, Grant W; Eiriksdottir, Gudny; Jacobs, Gunnar; Li, Guo; Wichmann, H-Erich; Campbell, Harry; Schmidt, Helena; Wallaschofski, Henri; Völzke, Henry; Brenner, Hermann; Kroemer, Heyo K; Kramer, Holly; Lin, Honghuang; Leach, I Mateo; Ford, Ian; Guessous, Idris; Rudan, Igor; Prokopenko, Inga; Borecki, Ingrid; Heid, Iris M; Kolcic, Ivana; Persico, Ivana; Jukema, J Wouter; Wilson, James F; Felix, Janine F; Divers, Jasmin; Lambert, Jean-Charles; Stafford, Jeanette M; Gaspoz, Jean-Michel; Smith, Jennifer A; Faul, Jessica D; Wang, Jie Jin; Ding, Jingzhong; Hirschhorn, Joel N; Attia, John; Whitfield, John B; Chalmers, John; Viikari, Jorma; Coresh, Josef; Denny, Joshua C; Karjalainen, Juha; Fernandes, Jyotika K; Endlich, Karlhans; Butterbach, Katja; Keene, Keith L; Lohman, Kurt; Portas, Laura; Launer, Lenore J; Lyytikäinen, Leo-Pekka; Yengo, Loic; Franke, Lude; Ferrucci, Luigi; Rose, Lynda M; Kedenko, Lyudmyla; Rao, Madhumathi; Struchalin, Maksim; Kleber, Marcus E; Cavalieri, Margherita; Haun, Margot; Cornelis, Marilyn C; Ciullo, Marina; Pirastu, Mario; de Andrade, Mariza; McEvoy, Mark A; Woodward, Mark; Adam, Martin; Cocca, Massimiliano; Nauck, Matthias; Imboden, Medea; Waldenberger, Melanie; Pruijm, Menno; Metzger, Marie; Stumvoll, Michael; Evans, Michele K; Sale, Michele M; Kähönen, Mika; Boban, Mladen; Bochud, Murielle; Rheinberger, Myriam; Verweij, Niek; Bouatia-Naji, Nabila; Martin, Nicholas G; Hastie, Nick; Probst-Hensch, Nicole; Soranzo, Nicole; Devuyst, Olivier; Raitakari, Olli; Gottesman, Omri; Franco, Oscar H; Polasek, Ozren; Gasparini, Paolo; Munroe, Patricia B; Ridker, Paul M; Mitchell, Paul; Muntner, Paul; Meisinger, Christa; Smit, Johannes H; Kovacs, Peter; Wild, Philipp S; Froguel, Philippe; Rettig, Rainer; Mägi, Reedik; Biffar, Reiner; Schmidt, Reinhold; Middelberg, Rita P S; Carroll, Robert J; Penninx, Brenda W; Scott, Rodney J; Katz, Ronit; Sedaghat, Sanaz; Wild, Sarah H; Kardia, Sharon L R; Ulivi, Sheila; Hwang, Shih-Jen; Enroth, Stefan; Kloiber, Stefan; Trompet, Stella; Stengel, Benedicte; Hancock, Stephen J; Turner, Stephen T; Rosas, Sylvia E; Stracke, Sylvia; Harris, Tamara B; Zeller, Tanja; Zemunik, Tatijana; Lehtimäki, Terho; Illig, Thomas; Aspelund, Thor; Nikopensius, Tiit; Esko, Tonu; Tanaka, Toshiko; Gyllensten, Ulf; Völker, Uwe; Emilsson, Valur; Vitart, Veronique; Aalto, Ville; Gudnason, Vilmundur; Chouraki, Vincent; Chen, Wei-Min; Igl, Wilmar; März, Winfried; Koenig, Wolfgang; Lieb, Wolfgang; Loos, Ruth J F; Liu, Yongmei; Snieder, Harold; Pramstaller, Peter P; Parsa, Afshin; O'Connell, Jeffrey R; Susztak, Katalin; Hamet, Pavel; Tremblay, Johanne; de Boer, Ian H; Böger, Carsten A; Goessling, Wolfram; Chasman, Daniel I; Köttgen, Anna; Kao, W H Linda; Fox, Caroline S; van der Schouw, YT; Bots, Michael L; Grobbee, Diederick E; Moret, N. Charlotte

    2016-01-01

    Reduced glomerular filtration rate defines chronic kidney disease and is associated with cardiovascular and all-cause mortality. We conducted a meta-analysis of genome-wide association studies for estimated glomerular filtration rate (eGFR), combining data across 133,413 individuals with replication

  8. Somatic cell genetics of uranium miners and plutonium workers. A biological dose-response indicator

    International Nuclear Information System (INIS)

    Brandom, W.F.; Bloom, A.D.; Bistline, R.W.; Saccomanno, G.

    1978-01-01

    Two populations of underground uranium miners and plutonium workers work in the state of Colorado, United States of America. We have explored the prevalence of structural chromosome aberrations in peripheral blood lymphocytes as a possible biological indicator of absorbed radiation late-effects in these populations. The uranium miners are divided into four exposure groups expressed in Working Level Months (WLM), the plutonium workers into six groups with estimated 239 Pu burdens expressed in nCi. Comparison of chromosome aberration frequency data between controls, miners, and plutonium workers demonstrate: (1) a cytogenetic response to occupational ionizing radiation at low estimated doses; and (2) an increasing monotonic dose-response in the prevalence of complex (all exchange) or total aberrations in all exposure groups in these populations. We also compared trends in the prevalence of aberrations per exposure unit (WLM and nCi) in each exposure subgroup for each population. In the uranium miners, the effects per WLM seem to decrease monotonically with increasing dose, whereas in the Pu workers the change per nCi appears abrupt, with all exposure groups over 1.3 nCi (minimum detectable level) having essentially similar rates. The calculations of aberrations per respective current maximum permissible dose (120 WLM and 40 nCi) for the two populations yield 4.8 X 10 -2 /100 cells for uranium miners and 90.6 X 10 -2 /100 cells for Pu workers. Factors which may have influenced this apparent 20-fold increase in the effectiveness of plutonium in the production of complex aberrations (9-fold increase in total aberrations) are discussed. (author)

  9. Review: Improving our knowledge of male mosquito biology in relation to genetic control programmes.

    Science.gov (United States)

    Lees, Rosemary Susan; Knols, Bart; Bellini, Romeo; Benedict, Mark Q; Bheecarry, Ambicadutt; Bossin, Hervé Christophe; Chadee, Dave D; Charlwood, Jacques; Dabiré, Roch K; Djogbenou, Luc; Egyir-Yawson, Alexander; Gato, René; Gouagna, Louis Clément; Hassan, Mo'awia Mukhtar; Khan, Shakil Ahmed; Koekemoer, Lizette L; Lemperiere, Guy; Manoukis, Nicholas C; Mozuraitis, Raimondas; Pitts, R Jason; Simard, Frederic; Gilles, Jeremie R L

    2014-04-01

    The enormous burden placed on populations worldwide by mosquito-borne diseases, most notably malaria and dengue, is currently being tackled by the use of insecticides sprayed in residences or applied to bednets, and in the case of dengue vectors through reduction of larval breeding sites or larviciding with insecticides thereof. However, these methods are under threat from, amongst other issues, the development of insecticide resistance and the practical difficulty of maintaining long-term community-wide efforts. The sterile insect technique (SIT), whose success hinges on having a good understanding of the biology and behaviour of the male mosquito, is an additional weapon in the limited arsenal against mosquito vectors. The successful production and release of sterile males, which is the mechanism of population suppression by SIT, relies on the release of mass-reared sterile males able to confer sterility in the target population by mating with wild females. A five year Joint FAO/IAEA Coordinated Research Project brought together researchers from around the world to investigate the pre-mating conditions of male mosquitoes (physiology and behaviour, resource acquisition and allocation, and dispersal), the mosquito mating systems and the contribution of molecular or chemical approaches to the understanding of male mosquito mating behaviour. A summary of the existing knowledge and the main novel findings of this group is reviewed here, and further presented in the reviews and research articles that form this Acta Tropica special issue. Copyright © 2013 International Atomic Energy Agency 2013. Published by Elsevier B.V. All rights reserved.

  10. Problems of allometric scaling analysis: examples from mammalian reproductive biology.

    Science.gov (United States)

    Martin, Robert D; Genoud, Michel; Hemelrijk, Charlotte K

    2005-05-01

    Biological scaling analyses employing the widely used bivariate allometric model are beset by at least four interacting problems: (1) choice of an appropriate best-fit line with due attention to the influence of outliers; (2) objective recognition of divergent subsets in the data (allometric grades); (3) potential restrictions on statistical independence resulting from phylogenetic inertia; and (4) the need for extreme caution in inferring causation from correlation. A new non-parametric line-fitting technique has been developed that eliminates requirements for normality of distribution, greatly reduces the influence of outliers and permits objective recognition of grade shifts in substantial datasets. This technique is applied in scaling analyses of mammalian gestation periods and of neonatal body mass in primates. These analyses feed into a re-examination, conducted with partial correlation analysis, of the maternal energy hypothesis relating to mammalian brain evolution, which suggests links between body size and brain size in neonates and adults, gestation period and basal metabolic rate. Much has been made of the potential problem of phylogenetic inertia as a confounding factor in scaling analyses. However, this problem may be less severe than suspected earlier because nested analyses of variance conducted on residual variation (rather than on raw values) reveals that there is considerable variance at low taxonomic levels. In fact, limited divergence in body size between closely related species is one of the prime examples of phylogenetic inertia. One common approach to eliminating perceived problems of phylogenetic inertia in allometric analyses has been calculation of 'independent contrast values'. It is demonstrated that the reasoning behind this approach is flawed in several ways. Calculation of contrast values for closely related species of similar body size is, in fact, highly questionable, particularly when there are major deviations from the best

  11. Promoting Self-Directed Learning in Developing or Poorly Defined Subject Areas: A Problem-Based Course in Molecular Biology, Genetics, and Cancer.

    Science.gov (United States)

    Edmondson, Katherine M.

    A new problem-based course in molecular biology, genetics, and cancer for first-year veterinary students was developed at the College of Veterinary Medicine at Cornell University (New York). The course was developed out of a desire to foster student-centered and lifelong learning and to integrate basic and clinical science knowledge despite a lack…

  12. A microfluidic dialysis device for complex biological mixture SERS analysis

    KAUST Repository

    Perozziello, Gerardo; Candeloro, Patrizio; Gentile, Francesco T.; Coluccio, Maria Laura; Tallerico, Marco; De Grazia, Antonio; Nicastri, Annalisa; Perri, Angela Mena; Parrotta, Elvira; Pardeo, Francesca; Catalano, Rossella; Cuda, Giovanni; Di Fabrizio, Enzo M.

    2015-01-01

    In this paper, we present a microfluidic device fabricated with a simple and inexpensive process allowing rapid filtering of peptides from a complex mixture. The polymer microfluidic device can be used for sample preparation in biological

  13. Genetic diversity analysis and conservation of the Chinese herb ...

    African Journals Online (AJOL)

    STORAGESEVER

    2009-10-05

    Oct 5, 2009 ... Salvia miltiorrhiza is an economically important floral herb. However, little work has been conducted to further our understanding of the genetics of this herb. In this study, a representative set of germplasm of. S. miltiorrhiza populations was used to analyze genetic diversity using amplified fragment length.

  14. An existential analysis of genetic engineering and human rights ...

    African Journals Online (AJOL)

    Genetic engineering for purposes of human enhancement poses risks that justify regulation. However, this paper argues philosophically that it is inappropriate to use human rights treaties to prohibit germ-line genetic engineering whether therapeutic or for purposes of enhancement. When also looked at existentially, the ...

  15. Genetic analysis of seed proteins contents in cowpea ( Vigna ...

    African Journals Online (AJOL)

    In order to select cowpea genotypes with high food value, 10 varieties were genetically screened in Ngaoundéré (Cameroon) for seed crude protein and its soluble fractions contents. Five divergent lines were studied through a 5 x 5 half diallel cross mating. The genotypes presented a significant genetic variability for these ...

  16. A roadmap for the genetic analysis of renal aging

    NARCIS (Netherlands)

    Noordmans, Gerda A.; van Goor, Harry; Hillebrands, Jan-Luuk; Korstanje, Ron

    2015-01-01

    Several studies show evidence for the genetic basis of renal disease, which renders some individuals more prone than others to accelerated renal aging. Studying the genetics of renal aging can help us to identify genes involved in this process and to unravel the underlying pathways. First, this

  17. Genetic diversity analysis in the Hypericum perforatum populations ...

    African Journals Online (AJOL)

    Assessment of genetic variability among the Hypericum perforatum populations is critical to the development of effective conservation strategies in the Kashmir valley. To obtain accurate estimates of genetic diversity among and within populations of H. perforatum, inter-simple sequence repeats (ISSR) markers were used.

  18. Genetic diversity of Najdi sheep based on microsatellite analysis ...

    African Journals Online (AJOL)

    The prime objective of this research was to measure the genetic polymorphism of main sheep breed of Saudi Arabia, Najdi. Randomly selected 49 blood samples were used to extract the DNA followed by polymerase chain reaction (PCR), using 19 microsatellite markers, which were used to investigate the genetic ...

  19. Genetic diversity analysis and conservation of the Chinese herb ...

    African Journals Online (AJOL)

    Salvia miltiorrhiza is an economically important floral herb. However, little work has been conducted to further our understanding of the genetics of this herb. In this study, a representative set of germplasm of. S. miltiorrhiza populations was used to analyze genetic diversity using amplified fragment length polymorphism ...

  20. Genetic diversity analysis of rice cultivars from various origins using ...

    African Journals Online (AJOL)

    Genetic diversity is of paramount importance for the success of any plant breeding program. An experiment was conducted to assess the extent of genetic diversity and similarity of 24 rice cultivars from various origins using 29 simple sequence repeat (SSR) markers. A total of 144 alleles were detected at the 29 SSR primer ...