Candidate genes, quantitative trait LOCI, and functional trait evolution in plants
Two key characteristics of the neo-Darwinian synthesis in evolutionary biology have been its emphasis on the importance of mutations of small effect (micromutationism) and the view that studies of individual gene function shed relatively little light on evolutionary processes. Recent advances in mol...
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Veröffentlicht in: | International journal of plant sciences 2003-05, Vol.164 (3), p.S7-S20 |
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description | Two key characteristics of the neo-Darwinian synthesis in evolutionary biology have been its emphasis on the importance of mutations of small effect (micromutationism) and the view that studies of individual gene function shed relatively little light on evolutionary processes. Recent advances in molecular biology, however, have broken down many of the barriers between functional and evolutionary inquiry, opening the door to detailed studies of the genetic basis of functional trait evolution in plants. In this article, we review the insights into plant evolution that have been provided by molecular methods and address future research needs. Quantitative trait locus (QTl.) mapping in crop and modcl plants has shown that individual loci often have large effects on trait variation, at variance with the micrornutationist perspective. Evidence so far indicates that QTl.s with large effects are also important in wild populations, underlying interspecific differences as well as intraspecific variation. Isolation of some of these QTl.s, in particular for flowering time variation, has revealed a prominent role for regulatory genes known to function in regulation of flowering and exposed the complexity of regulatory processes. Preliminary evidence indicates that plant growth variation may bc directly regulatcd rather than primarily the indirect result of selection on constituent processes. Future research should expand the number of traits that are intensively studied and make greater use of QTI. mapping in wild plant taxa, especially those undergoing adaptive radiations, while continuing to draw on insights from model plants. Promising techniques include testing of candidate gene-trait associations in wild populations, genetic mapping in hybrid zones, and microarray analyses of gene expression. |
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Recent advances in molecular biology, however, have broken down many of the barriers between functional and evolutionary inquiry, opening the door to detailed studies of the genetic basis of functional trait evolution in plants. In this article, we review the insights into plant evolution that have been provided by molecular methods and address future research needs. Quantitative trait locus (QTl.) mapping in crop and modcl plants has shown that individual loci often have large effects on trait variation, at variance with the micrornutationist perspective. Evidence so far indicates that QTl.s with large effects are also important in wild populations, underlying interspecific differences as well as intraspecific variation. Isolation of some of these QTl.s, in particular for flowering time variation, has revealed a prominent role for regulatory genes known to function in regulation of flowering and exposed the complexity of regulatory processes. Preliminary evidence indicates that plant growth variation may bc directly regulatcd rather than primarily the indirect result of selection on constituent processes. Future research should expand the number of traits that are intensively studied and make greater use of QTI. mapping in wild plant taxa, especially those undergoing adaptive radiations, while continuing to draw on insights from model plants. 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All rights reserved.</rights><rights>Copyright University of Chicago, acting through its Press May 2003</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c356t-3fd1bd379594cd438afb3fae9040f2ed296552084c2edefcf328bcf07e50a47f3</citedby><cites>FETCH-LOGICAL-c356t-3fd1bd379594cd438afb3fae9040f2ed296552084c2edefcf328bcf07e50a47f3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,777,781,800,27905,27906</link.rule.ids></links><search><creatorcontrib>Remington, David L</creatorcontrib><creatorcontrib>Purugganan, Michael D</creatorcontrib><title>Candidate genes, quantitative trait LOCI, and functional trait evolution in plants</title><title>International journal of plant sciences</title><description>Two key characteristics of the neo-Darwinian synthesis in evolutionary biology have been its emphasis on the importance of mutations of small effect (micromutationism) and the view that studies of individual gene function shed relatively little light on evolutionary processes. Recent advances in molecular biology, however, have broken down many of the barriers between functional and evolutionary inquiry, opening the door to detailed studies of the genetic basis of functional trait evolution in plants. In this article, we review the insights into plant evolution that have been provided by molecular methods and address future research needs. Quantitative trait locus (QTl.) mapping in crop and modcl plants has shown that individual loci often have large effects on trait variation, at variance with the micrornutationist perspective. Evidence so far indicates that QTl.s with large effects are also important in wild populations, underlying interspecific differences as well as intraspecific variation. Isolation of some of these QTl.s, in particular for flowering time variation, has revealed a prominent role for regulatory genes known to function in regulation of flowering and exposed the complexity of regulatory processes. Preliminary evidence indicates that plant growth variation may bc directly regulatcd rather than primarily the indirect result of selection on constituent processes. Future research should expand the number of traits that are intensively studied and make greater use of QTI. mapping in wild plant taxa, especially those undergoing adaptive radiations, while continuing to draw on insights from model plants. Promising techniques include testing of candidate gene-trait associations in wild populations, genetic mapping in hybrid zones, and microarray analyses of gene expression.</description><subject>chromosome mapping</subject><subject>Evolution</subject><subject>Evolutionary genetics</subject><subject>Flowering</subject><subject>Flowers & plants</subject><subject>gene expression</subject><subject>Genes</subject><subject>Genetic loci</subject><subject>Genetic variation</subject><subject>hybrids</subject><subject>interspecific variation</subject><subject>intraspecific variation</subject><subject>loci</subject><subject>microarray technology</subject><subject>molecular biology</subject><subject>mutation</subject><subject>Phenotypic traits</subject><subject>plant growth</subject><subject>Plants</subject><subject>Quantitative trait loci</subject><subject>Quantitative traits</subject><subject>regulator genes</subject><subject>temporal variation</subject><subject>variance</subject><subject>wild plants</subject><issn>1058-5893</issn><issn>1537-5315</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2003</creationdate><recordtype>article</recordtype><recordid>eNpdkF1LwzAUhoMoOKf-AsHghVer5qNpk0spfgwGA3XXIWuTkdE1W5IO_Pdmdih4dT7e5xzOeQG4xugBI1480qLkmJyAEWa0zBjF7DTliPGMcUHPwUUIa4SQYESMwHulusY2Kmq40p0OE7jrVRdtVNHuNYxe2Qhn82o6gQmEpu_qaF2n2qOk967tDx1oO7ht02i4BGdGtUFfHeMYLF6eP6u3bDZ_nVZPs6ymrIgZNQ1eNrQUTOR1k1OuzJIapQXKkSG6IaJgjCCe16nQpjaU8GVtUKkZUnlp6BjcD3u33u16HaLc2FDrNh2hXR8kFgQV6csE3v0D16736YcgSZlzwnCO_rbV3oXgtZFbbzfKf0mM5MFXOfiawJsBXIfo_C9FC4HLH_l2kI1yUq28DXLxQRBmyXJWUEHoNwHWfAQ</recordid><startdate>20030501</startdate><enddate>20030501</enddate><creator>Remington, David L</creator><creator>Purugganan, Michael D</creator><general>The University of Chicago Press</general><general>University of Chicago, acting through its Press</general><scope>FBQ</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SN</scope><scope>7ST</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>P64</scope><scope>RC3</scope><scope>SOI</scope></search><sort><creationdate>20030501</creationdate><title>Candidate genes, quantitative trait LOCI, and functional trait evolution in plants</title><author>Remington, David L ; Purugganan, Michael D</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c356t-3fd1bd379594cd438afb3fae9040f2ed296552084c2edefcf328bcf07e50a47f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2003</creationdate><topic>chromosome mapping</topic><topic>Evolution</topic><topic>Evolutionary genetics</topic><topic>Flowering</topic><topic>Flowers & plants</topic><topic>gene expression</topic><topic>Genes</topic><topic>Genetic loci</topic><topic>Genetic variation</topic><topic>hybrids</topic><topic>interspecific variation</topic><topic>intraspecific variation</topic><topic>loci</topic><topic>microarray technology</topic><topic>molecular biology</topic><topic>mutation</topic><topic>Phenotypic traits</topic><topic>plant growth</topic><topic>Plants</topic><topic>Quantitative trait loci</topic><topic>Quantitative traits</topic><topic>regulator genes</topic><topic>temporal variation</topic><topic>variance</topic><topic>wild plants</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Remington, David L</creatorcontrib><creatorcontrib>Purugganan, Michael D</creatorcontrib><collection>AGRIS</collection><collection>CrossRef</collection><collection>Ecology Abstracts</collection><collection>Environment Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><collection>Environment Abstracts</collection><jtitle>International journal of plant sciences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Remington, David L</au><au>Purugganan, Michael D</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Candidate genes, quantitative trait LOCI, and functional trait evolution in plants</atitle><jtitle>International journal of plant sciences</jtitle><date>2003-05-01</date><risdate>2003</risdate><volume>164</volume><issue>3</issue><spage>S7</spage><epage>S20</epage><pages>S7-S20</pages><issn>1058-5893</issn><eissn>1537-5315</eissn><abstract>Two key characteristics of the neo-Darwinian synthesis in evolutionary biology have been its emphasis on the importance of mutations of small effect (micromutationism) and the view that studies of individual gene function shed relatively little light on evolutionary processes. 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Preliminary evidence indicates that plant growth variation may bc directly regulatcd rather than primarily the indirect result of selection on constituent processes. Future research should expand the number of traits that are intensively studied and make greater use of QTI. mapping in wild plant taxa, especially those undergoing adaptive radiations, while continuing to draw on insights from model plants. Promising techniques include testing of candidate gene-trait associations in wild populations, genetic mapping in hybrid zones, and microarray analyses of gene expression.</abstract><cop>Chicago</cop><pub>The University of Chicago Press</pub><doi>10.1086/367812</doi><oa>free_for_read</oa></addata></record> |
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subjects | chromosome mapping Evolution Evolutionary genetics Flowering Flowers & plants gene expression Genes Genetic loci Genetic variation hybrids interspecific variation intraspecific variation loci microarray technology molecular biology mutation Phenotypic traits plant growth Plants Quantitative trait loci Quantitative traits regulator genes temporal variation variance wild plants |
title | Candidate genes, quantitative trait LOCI, and functional trait evolution in plants |
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