dynamics of the genotype-phenotype association
The integrity of an organism is maintained by networks of interacting genes. Such networks predict that genetic variants affect phenotypes in a nonadditive fashion. That is, the effect of an allelic variation in one gene is dependent on the variations in other genes. We summarize the analyses of a s...
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Veröffentlicht in: | Poultry science 2003-06, Vol.82 (6), p.876-881 |
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description | The integrity of an organism is maintained by networks of interacting genes. Such networks predict that genetic variants affect phenotypes in a nonadditive fashion. That is, the effect of an allelic variation in one gene is dependent on the variations in other genes. We summarize the analyses of a series of genes in a White Leghorn strain that support the existence of such gene networks: 1) genes are pleiotropic, 2) genes affect trait correlations, 3) genes affect trait distributions in a nonadditive fashion, 4) genes interact with each other, and 5) genes are at linkage disequilibrium, even when located on different chromosomes. The latter observation indicated that certain gene combinations lead to reduced reproductive fitness. Each candidate genes we analyzed segregated for multiple alleles that affected production traits. This finding was surprising, even for a strain with a large effective population size. The shapes of trait distributions appear to be a better descriptor of gene effects than measures of central tendency. Despite this complexity, it is feasible to conduct DNA-based selection, starting from any of several different genes that affect a trait. Gene networks may be altered in many different ways to improve a particular phenotype, but networks may differ in their effects on other traits. |
doi_str_mv | 10.1093/ps/82.6.876 |
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Despite this complexity, it is feasible to conduct DNA-based selection, starting from any of several different genes that affect a trait. 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Such networks predict that genetic variants affect phenotypes in a nonadditive fashion. That is, the effect of an allelic variation in one gene is dependent on the variations in other genes. We summarize the analyses of a series of genes in a White Leghorn strain that support the existence of such gene networks: 1) genes are pleiotropic, 2) genes affect trait correlations, 3) genes affect trait distributions in a nonadditive fashion, 4) genes interact with each other, and 5) genes are at linkage disequilibrium, even when located on different chromosomes. The latter observation indicated that certain gene combinations lead to reduced reproductive fitness. Each candidate genes we analyzed segregated for multiple alleles that affected production traits. This finding was surprising, even for a strain with a large effective population size. The shapes of trait distributions appear to be a better descriptor of gene effects than measures of central tendency. Despite this complexity, it is feasible to conduct DNA-based selection, starting from any of several different genes that affect a trait. Gene networks may be altered in many different ways to improve a particular phenotype, but networks may differ in their effects on other traits.</description><subject>animal breeding</subject><subject>animal genetics</subject><subject>Animal Husbandry</subject><subject>Animals</subject><subject>chickens</subject><subject>Chickens - genetics</subject><subject>DNA-based selection</subject><subject>gene expression</subject><subject>Gene Expression Regulation</subject><subject>gene interaction</subject><subject>genetic markers</subject><subject>Genetics, Population</subject><subject>Genotype</subject><subject>marker-assisted selection</subject><subject>Phenotype</subject><subject>quantitative trait loci</subject><subject>selection criteria</subject><subject>Selection, Genetic</subject><issn>0032-5791</issn><issn>1525-3171</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2003</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNpF0DtPwzAUhmELgWgpTOyQiQUlPbYTX0ZUcZMqMUBny9c2qIlDnA799wQ1EtM5w6NveBG6xVBgkHTZpaUgBSsEZ2dojitS5RRzfI7mAJTkFZd4hq5S-gYgmDF-iWaYCMzLEuaocMdWN7VNWQzZsPPZ1rdxOHY-73bTl-mUoq31UMf2Gl0EvU_-ZroLtHl5_lq95euP1_fV0zq3tGRDXgXLecWM9UJi74QLxDgXggjaOmpcaQLXASwzxmkMzkoQQpRBal4aSQJdoIfTbtfHn4NPg2rqZP1-r1sfD0lxSjmjpRzh4wnaPqbU-6C6vm50f1QY1F8e1SUliGJqzDPqu2n2YBrv_u3UYwT3JxB0VHrb10ltPglgCuMUAwn0Fx2PawA</recordid><startdate>20030601</startdate><enddate>20030601</enddate><creator>Kuhnlein, U</creator><creator>Parsanejad, R</creator><creator>Zadworny, D</creator><creator>Aggrey, S.E</creator><scope>FBQ</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>20030601</creationdate><title>dynamics of the genotype-phenotype association</title><author>Kuhnlein, U ; Parsanejad, R ; Zadworny, D ; Aggrey, S.E</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c346t-5fc7756bce891ed8df2bddff8facd3bd4bf7af0c6bbda10dc908884f9a74b92f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2003</creationdate><topic>animal breeding</topic><topic>animal genetics</topic><topic>Animal Husbandry</topic><topic>Animals</topic><topic>chickens</topic><topic>Chickens - genetics</topic><topic>DNA-based selection</topic><topic>gene expression</topic><topic>Gene Expression Regulation</topic><topic>gene interaction</topic><topic>genetic markers</topic><topic>Genetics, Population</topic><topic>Genotype</topic><topic>marker-assisted selection</topic><topic>Phenotype</topic><topic>quantitative trait loci</topic><topic>selection criteria</topic><topic>Selection, Genetic</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kuhnlein, U</creatorcontrib><creatorcontrib>Parsanejad, R</creatorcontrib><creatorcontrib>Zadworny, D</creatorcontrib><creatorcontrib>Aggrey, S.E</creatorcontrib><collection>AGRIS</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Poultry science</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kuhnlein, U</au><au>Parsanejad, R</au><au>Zadworny, D</au><au>Aggrey, S.E</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>dynamics of the genotype-phenotype association</atitle><jtitle>Poultry science</jtitle><addtitle>Poult Sci</addtitle><date>2003-06-01</date><risdate>2003</risdate><volume>82</volume><issue>6</issue><spage>876</spage><epage>881</epage><pages>876-881</pages><issn>0032-5791</issn><eissn>1525-3171</eissn><abstract>The integrity of an organism is maintained by networks of interacting genes. Such networks predict that genetic variants affect phenotypes in a nonadditive fashion. That is, the effect of an allelic variation in one gene is dependent on the variations in other genes. We summarize the analyses of a series of genes in a White Leghorn strain that support the existence of such gene networks: 1) genes are pleiotropic, 2) genes affect trait correlations, 3) genes affect trait distributions in a nonadditive fashion, 4) genes interact with each other, and 5) genes are at linkage disequilibrium, even when located on different chromosomes. The latter observation indicated that certain gene combinations lead to reduced reproductive fitness. Each candidate genes we analyzed segregated for multiple alleles that affected production traits. This finding was surprising, even for a strain with a large effective population size. The shapes of trait distributions appear to be a better descriptor of gene effects than measures of central tendency. 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subjects | animal breeding animal genetics Animal Husbandry Animals chickens Chickens - genetics DNA-based selection gene expression Gene Expression Regulation gene interaction genetic markers Genetics, Population Genotype marker-assisted selection Phenotype quantitative trait loci selection criteria Selection, Genetic |
title | dynamics of the genotype-phenotype association |
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