A dissection model for mapping complex traits.
Identifieur interne : 000B70 ( Main/Exploration ); précédent : 000B69; suivant : 000B71A dissection model for mapping complex traits.
Auteurs : Mengmeng Sang [République populaire de Chine] ; Hexin Shi [République populaire de Chine] ; Kun Wei [République populaire de Chine] ; Meixia Ye [République populaire de Chine] ; Libo Jiang [République populaire de Chine] ; Lidan Sun [République populaire de Chine] ; Rongling Wu [République populaire de Chine, États-Unis]Source :
- The Plant journal : for cell and molecular biology [ 1365-313X ] ; 2019.
Descripteurs français
- KwdFr :
- MESH :
English descriptors
- KwdEn :
- MESH :
- genetics : Plant Stems, Populus, Quantitative Trait Loci, Seedlings, Wood.
- Chromosome Mapping, Multifactorial Inheritance, Phenotype, Trees.
Abstract
Many quantitative traits are composites of other traits that contribute differentially to genetic variation. Quantitative trait locus (QTL) mapping of these composite traits can benefit by incorporating the mechanistic process of how their formation is mediated by the underlying components. We propose a dissection model by which to map these interconnected components traits under a joint likelihood setting. The model can test how a composite trait is determined by pleiotropic QTLs for its component traits or jointly by different sets of QTLs each responsible for a different component. The model can visualize the pattern of time-varying genetic effects for individual components and their impacts on composite traits. The dissection model was used to map two composite traits, stemwood volume growth decomposed into its stem height, stem diameter and stem form components for Euramerican poplar adult trees, and total lateral root length constituted by its average lateral root length and lateral root number components for Euphrates poplar seedlings. We found the pattern of how QTLs for different components contribute to phenotypic variation in composite traits. The detailed understanding of the genetic machineries of composite traits will not only help in the design of molecular breeding in plants and animals, but also shed light on the evolutionary processes of quantitative traits under natural selection.
DOI: 10.1111/tpj.14185
PubMed: 30536697
Affiliations:
- République populaire de Chine, États-Unis
- Pennsylvanie
- University Park (Pennsylvanie)
- Université d'État de Pennsylvanie
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traits.</title><author><name sortKey="Sang, Mengmeng" sort="Sang, Mengmeng" uniqKey="Sang M" first="Mengmeng" last="Sang">Mengmeng Sang</name><affiliation wicri:level="1"><nlm:affiliation>Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, Beijing Forestry University, Beijing, 100083, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, Beijing Forestry University, Beijing, 100083</wicri:regionArea><wicri:noRegion>100083</wicri:noRegion></affiliation><affiliation wicri:level="1"><nlm:affiliation>Center for Computational Biology, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, 100083, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Center for Computational Biology, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, 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Computational Biology, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, 100083</wicri:regionArea><wicri:noRegion>100083</wicri:noRegion></affiliation></author><author><name sortKey="Ye, Meixia" sort="Ye, Meixia" uniqKey="Ye M" first="Meixia" last="Ye">Meixia Ye</name><affiliation wicri:level="1"><nlm:affiliation>Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, Beijing Forestry University, Beijing, 100083, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, Beijing Forestry University, Beijing, 100083</wicri:regionArea><wicri:noRegion>100083</wicri:noRegion></affiliation><affiliation wicri:level="1"><nlm:affiliation>Center for Computational Biology, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, 100083, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Center for Computational Biology, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, 100083</wicri:regionArea><wicri:noRegion>100083</wicri:noRegion></affiliation></author><author><name sortKey="Jiang, Libo" sort="Jiang, Libo" uniqKey="Jiang L" first="Libo" last="Jiang">Libo Jiang</name><affiliation wicri:level="1"><nlm:affiliation>Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, Beijing Forestry University, Beijing, 100083, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, Beijing Forestry University, Beijing, 100083</wicri:regionArea><wicri:noRegion>100083</wicri:noRegion></affiliation><affiliation wicri:level="1"><nlm:affiliation>Center for Computational Biology, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, 100083, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Center for Computational Biology, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, 100083</wicri:regionArea><wicri:noRegion>100083</wicri:noRegion></affiliation></author><author><name sortKey="Sun, Lidan" sort="Sun, Lidan" uniqKey="Sun L" first="Lidan" last="Sun">Lidan Sun</name><affiliation wicri:level="1"><nlm:affiliation>Beijing Key Laboratory of Ornamental Plants Germplasm Innovation and Molecular Breeding, National Engineering Research Center for Floriculture, College of Landscape Architecture, Beijing Forestry University, Beijing, 100083, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Beijing Key Laboratory of Ornamental Plants Germplasm Innovation and Molecular Breeding, National Engineering Research Center for Floriculture, College of Landscape Architecture, Beijing Forestry University, Beijing, 100083</wicri:regionArea><wicri:noRegion>100083</wicri:noRegion></affiliation></author><author><name sortKey="Wu, Rongling" sort="Wu, Rongling" uniqKey="Wu R" first="Rongling" last="Wu">Rongling Wu</name><affiliation wicri:level="1"><nlm:affiliation>Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, Beijing Forestry University, Beijing, 100083, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, Beijing Forestry University, Beijing, 100083</wicri:regionArea><wicri:noRegion>100083</wicri:noRegion></affiliation><affiliation wicri:level="1"><nlm:affiliation>Center for Computational Biology, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, 100083, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Center for Computational Biology, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, 100083</wicri:regionArea><wicri:noRegion>100083</wicri:noRegion></affiliation><affiliation wicri:level="1"><nlm:affiliation>State Key Laboratory of Tree Genetics and Breeding, Chinese Academy of Forestry, Beijing, 100091, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>State Key Laboratory of Tree Genetics and Breeding, Chinese Academy of Forestry, Beijing, 100091</wicri:regionArea><wicri:noRegion>100091</wicri:noRegion></affiliation><affiliation wicri:level="4"><nlm:affiliation>Center for Statistical Genetics, Departments of Public Health Sciences and Statistics, Pennsylvania State University, Hershey, PA, 17033, USA.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>Center for Statistical Genetics, Departments of Public Health Sciences and Statistics, Pennsylvania State University, Hershey, PA, 17033</wicri:regionArea><orgName type="university">Université d'État de Pennsylvanie</orgName><placeName><settlement type="city">University Park (Pennsylvanie)</settlement><region type="state">Pennsylvanie</region></placeName></affiliation></author></analytic><series><title level="j">The Plant journal : for cell and molecular biology</title><idno type="eISSN">1365-313X</idno><imprint><date when="2019" type="published">2019</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Chromosome Mapping (MeSH)</term><term>Multifactorial Inheritance (MeSH)</term><term>Phenotype (MeSH)</term><term>Plant Stems (genetics)</term><term>Populus (genetics)</term><term>Quantitative Trait Loci (genetics)</term><term>Seedlings (genetics)</term><term>Trees (MeSH)</term><term>Wood (genetics)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Arbres (MeSH)</term><term>Bois (génétique)</term><term>Cartographie chromosomique (MeSH)</term><term>Hérédité multifactorielle (MeSH)</term><term>Locus de caractère quantitatif (génétique)</term><term>Phénotype (MeSH)</term><term>Plant (génétique)</term><term>Populus (génétique)</term><term>Tiges de plante (génétique)</term></keywords><keywords scheme="MESH" qualifier="genetics" xml:lang="en"><term>Plant Stems</term><term>Populus</term><term>Quantitative Trait Loci</term><term>Seedlings</term><term>Wood</term></keywords><keywords scheme="MESH" qualifier="génétique" xml:lang="fr"><term>Bois</term><term>Locus de caractère quantitatif</term><term>Plant</term><term>Populus</term><term>Tiges de plante</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Chromosome Mapping</term><term>Multifactorial Inheritance</term><term>Phenotype</term><term>Trees</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Arbres</term><term>Cartographie chromosomique</term><term>Hérédité multifactorielle</term><term>Phénotype</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Many quantitative traits are composites of other traits that contribute differentially to genetic variation. Quantitative trait locus (QTL) mapping of these composite traits can benefit by incorporating the mechanistic process of how their formation is mediated by the underlying components. We propose a dissection model by which to map these interconnected components traits under a joint likelihood setting. The model can test how a composite trait is determined by pleiotropic QTLs for its component traits or jointly by different sets of QTLs each responsible for a different component. The model can visualize the pattern of time-varying genetic effects for individual components and their impacts on composite traits. The dissection model was used to map two composite traits, stemwood volume growth decomposed into its stem height, stem diameter and stem form components for Euramerican poplar adult trees, and total lateral root length constituted by its average lateral root length and lateral root number components for Euphrates poplar seedlings. We found the pattern of how QTLs for different components contribute to phenotypic variation in composite traits. The detailed understanding of the genetic machineries of composite traits will not only help in the design of molecular breeding in plants and animals, but also shed light on the evolutionary processes of quantitative traits under natural selection.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">30536697</PMID><DateCompleted><Year>2020</Year><Month>04</Month><Day>06</Day></DateCompleted><DateRevised><Year>2020</Year><Month>04</Month><Day>08</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1365-313X</ISSN><JournalIssue CitedMedium="Internet"><Volume>97</Volume><Issue>6</Issue><PubDate><Year>2019</Year><Month>03</Month></PubDate></JournalIssue><Title>The Plant journal : for cell and molecular biology</Title><ISOAbbreviation>Plant J</ISOAbbreviation></Journal><ArticleTitle>A dissection model for mapping complex traits.</ArticleTitle><Pagination><MedlinePgn>1168-1182</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1111/tpj.14185</ELocationID><Abstract><AbstractText>Many quantitative traits are composites of other traits that contribute differentially to genetic variation. Quantitative trait locus (QTL) mapping of these composite traits can benefit by incorporating the mechanistic process of how their formation is mediated by the underlying components. We propose a dissection model by which to map these interconnected components traits under a joint likelihood setting. The model can test how a composite trait is determined by pleiotropic QTLs for its component traits or jointly by different sets of QTLs each responsible for a different component. The model can visualize the pattern of time-varying genetic effects for individual components and their impacts on composite traits. The dissection model was used to map two composite traits, stemwood volume growth decomposed into its stem height, stem diameter and stem form components for Euramerican poplar adult trees, and total lateral root length constituted by its average lateral root length and lateral root number components for Euphrates poplar seedlings. We found the pattern of how QTLs for different components contribute to phenotypic variation in composite traits. The detailed understanding of the genetic machineries of composite traits will not only help in the design of molecular breeding in plants and animals, but also shed light on the evolutionary processes of quantitative traits under natural selection.</AbstractText><CopyrightInformation>© 2018 The Authors The Plant Journal © 2018 John Wiley & Sons Ltd.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Sang</LastName><ForeName>Mengmeng</ForeName><Initials>M</Initials><AffiliationInfo><Affiliation>Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, Beijing Forestry University, Beijing, 100083, China.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Center for Computational Biology, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, 100083, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Shi</LastName><ForeName>Hexin</ForeName><Initials>H</Initials><AffiliationInfo><Affiliation>Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, Beijing Forestry University, Beijing, 100083, China.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Center for Computational Biology, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, 100083, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Wei</LastName><ForeName>Kun</ForeName><Initials>K</Initials><AffiliationInfo><Affiliation>Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, Beijing Forestry University, Beijing, 100083, China.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Center for Computational Biology, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, 100083, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Ye</LastName><ForeName>Meixia</ForeName><Initials>M</Initials><AffiliationInfo><Affiliation>Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, Beijing Forestry University, Beijing, 100083, China.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Center for Computational Biology, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, 100083, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Jiang</LastName><ForeName>Libo</ForeName><Initials>L</Initials><AffiliationInfo><Affiliation>Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, Beijing Forestry University, Beijing, 100083, China.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Center for Computational Biology, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, 100083, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Sun</LastName><ForeName>Lidan</ForeName><Initials>L</Initials><AffiliationInfo><Affiliation>Beijing Key Laboratory of Ornamental Plants Germplasm Innovation and Molecular Breeding, National Engineering Research Center for Floriculture, College of Landscape Architecture, Beijing Forestry University, Beijing, 100083, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Wu</LastName><ForeName>Rongling</ForeName><Initials>R</Initials><Identifier Source="ORCID">0000-0002-2334-6421</Identifier><AffiliationInfo><Affiliation>Beijing Advanced Innovation Center for Tree Breeding by Molecular Design, Beijing Forestry University, Beijing, 100083, China.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Center for Computational Biology, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, 100083, China.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>State Key Laboratory of Tree Genetics and Breeding, Chinese Academy of Forestry, Beijing, 100091, China.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Center for Statistical Genetics, Departments of Public Health Sciences and Statistics, Pennsylvania State University, Hershey, PA, 17033, USA.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2019</Year><Month>02</Month><Day>12</Day></ArticleDate></Article><MedlineJournalInfo><Country>England</Country><MedlineTA>Plant J</MedlineTA><NlmUniqueID>9207397</NlmUniqueID><ISSNLinking>0960-7412</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D002874" MajorTopicYN="N">Chromosome Mapping</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D020412" MajorTopicYN="Y">Multifactorial Inheritance</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D010641" MajorTopicYN="N">Phenotype</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D018547" MajorTopicYN="N">Plant Stems</DescriptorName><QualifierName UI="Q000235" MajorTopicYN="N">genetics</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D032107" MajorTopicYN="N">Populus</DescriptorName><QualifierName UI="Q000235" MajorTopicYN="Y">genetics</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D040641" MajorTopicYN="N">Quantitative Trait Loci</DescriptorName><QualifierName UI="Q000235" MajorTopicYN="Y">genetics</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D036226" MajorTopicYN="N">Seedlings</DescriptorName><QualifierName UI="Q000235" MajorTopicYN="N">genetics</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D014197" MajorTopicYN="N">Trees</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D014934" MajorTopicYN="N">Wood</DescriptorName><QualifierName UI="Q000235" MajorTopicYN="N">genetics</QualifierName></MeshHeading></MeshHeadingList><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="Y">QTL
</Keyword><Keyword MajorTopicYN="Y">composite trait</Keyword><Keyword MajorTopicYN="Y">functional mapping</Keyword><Keyword MajorTopicYN="Y">growth equation</Keyword><Keyword MajorTopicYN="Y">stemwood volume</Keyword><Keyword MajorTopicYN="Y">technical advance</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2018</Year><Month>07</Month><Day>20</Day></PubMedPubDate><PubMedPubDate PubStatus="revised"><Year>2018</Year><Month>10</Month><Day>26</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2018</Year><Month>11</Month><Day>26</Day></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2018</Year><Month>12</Month><Day>12</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2020</Year><Month>4</Month><Day>9</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2018</Year><Month>12</Month><Day>12</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">30536697</ArticleId><ArticleId IdType="doi">10.1111/tpj.14185</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list><country><li>République populaire de Chine</li><li>États-Unis</li></country><region><li>Pennsylvanie</li></region><settlement><li>University Park (Pennsylvanie)</li></settlement><orgName><li>Université d'État de Pennsylvanie</li></orgName></list><tree><country name="République populaire de Chine"><noRegion><name sortKey="Sang, Mengmeng" sort="Sang, Mengmeng" uniqKey="Sang M" first="Mengmeng" last="Sang">Mengmeng Sang</name></noRegion><name sortKey="Jiang, Libo" sort="Jiang, Libo" uniqKey="Jiang L" first="Libo" last="Jiang">Libo Jiang</name><name sortKey="Jiang, Libo" sort="Jiang, Libo" uniqKey="Jiang L" first="Libo" last="Jiang">Libo Jiang</name><name sortKey="Sang, Mengmeng" sort="Sang, Mengmeng" uniqKey="Sang M" first="Mengmeng" last="Sang">Mengmeng Sang</name><name sortKey="Shi, Hexin" sort="Shi, Hexin" uniqKey="Shi H" first="Hexin" last="Shi">Hexin Shi</name><name sortKey="Shi, Hexin" sort="Shi, Hexin" uniqKey="Shi H" first="Hexin" last="Shi">Hexin Shi</name><name sortKey="Sun, Lidan" sort="Sun, Lidan" uniqKey="Sun L" first="Lidan" last="Sun">Lidan Sun</name><name sortKey="Wei, Kun" sort="Wei, Kun" uniqKey="Wei K" first="Kun" last="Wei">Kun Wei</name><name sortKey="Wei, Kun" sort="Wei, Kun" uniqKey="Wei K" first="Kun" last="Wei">Kun Wei</name><name sortKey="Wu, Rongling" sort="Wu, Rongling" uniqKey="Wu R" first="Rongling" last="Wu">Rongling Wu</name><name sortKey="Wu, Rongling" sort="Wu, Rongling" uniqKey="Wu R" first="Rongling" last="Wu">Rongling Wu</name><name sortKey="Wu, Rongling" sort="Wu, Rongling" uniqKey="Wu R" first="Rongling" last="Wu">Rongling Wu</name><name sortKey="Ye, Meixia" sort="Ye, Meixia" uniqKey="Ye M" first="Meixia" last="Ye">Meixia Ye</name><name sortKey="Ye, Meixia" sort="Ye, Meixia" uniqKey="Ye M" first="Meixia" last="Ye">Meixia Ye</name></country><country name="États-Unis"><region name="Pennsylvanie"><name sortKey="Wu, Rongling" sort="Wu, Rongling" uniqKey="Wu R" first="Rongling" last="Wu">Rongling Wu</name></region></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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