Association analysis of historical bread wheat germplasm using additive genetic covariance of relatives and population structure.
Identifieur interne : 000977 ( Main/Exploration ); précédent : 000976; suivant : 000978Association analysis of historical bread wheat germplasm using additive genetic covariance of relatives and population structure.
Auteurs : José Crossa [Mexique] ; Juan Burgue O ; Susanne Dreisigacker ; Mateo Vargas ; Sybil A. Herrera-Foessel ; Morten Lillemo ; Ravi P. Singh ; Richard Trethowan ; Marilyn Warburton ; Jorge Franco ; Matthew Reynolds ; Jonathan H. Crouch ; Rodomiro OrtizSource :
- Genetics [ 0016-6731 ] ; 2007.
Descripteurs français
- KwdFr :
- Cartographie chromosomique (MeSH), Déséquilibre de liaison (MeSH), Facteurs temps (MeSH), Gènes de plante (MeSH), Histoire du 20ème siècle (MeSH), Histoire du 21ème siècle (MeSH), Locus de caractère quantitatif (MeSH), Maladies des plantes (génétique), Maladies des plantes (microbiologie), Marqueurs génétiques (MeSH), Modèles génétiques (MeSH), Modèles linéaires (MeSH), Modèles statistiques (MeSH), Phénotype (MeSH), Triticum (génétique), Triticum (histoire), Triticum (microbiologie).
- MESH :
- génétique : Maladies des plantes, Triticum.
- histoire : Triticum.
- microbiologie : Maladies des plantes, Triticum.
- Cartographie chromosomique, Déséquilibre de liaison, Facteurs temps, Gènes de plante, Histoire du 20ème siècle, Histoire du 21ème siècle, Locus de caractère quantitatif, Marqueurs génétiques, Modèles génétiques, Modèles linéaires, Modèles statistiques, Phénotype.
English descriptors
- KwdEn :
- Chromosome Mapping (MeSH), Genes, Plant (MeSH), Genetic Markers (MeSH), History, 20th Century (MeSH), History, 21st Century (MeSH), Linear Models (MeSH), Linkage Disequilibrium (MeSH), Models, Genetic (MeSH), Models, Statistical (MeSH), Phenotype (MeSH), Plant Diseases (genetics), Plant Diseases (microbiology), Quantitative Trait Loci (MeSH), Time Factors (MeSH), Triticum (genetics), Triticum (history), Triticum (microbiology).
- MESH :
- chemical : Genetic Markers.
- genetics : Plant Diseases, Triticum.
- history : Triticum.
- microbiology : Plant Diseases, Triticum.
- Chromosome Mapping, Genes, Plant, History, 20th Century, History, 21st Century, Linear Models, Linkage Disequilibrium, Models, Genetic, Models, Statistical, Phenotype, Quantitative Trait Loci, Time Factors.
Abstract
Linkage disequilibrium can be used for identifying associations between traits of interest and genetic markers. This study used mapped diversity array technology (DArT) markers to find associations with resistance to stem rust, leaf rust, yellow rust, and powdery mildew, plus grain yield in five historical wheat international multienvironment trials from the International Maize and Wheat Improvement Center (CIMMYT). Two linear mixed models were used to assess marker-trait associations incorporating information on population structure and covariance between relatives. An integrated map containing 813 DArT markers and 831 other markers was constructed. Several linkage disequilibrium clusters bearing multiple host plant resistance genes were found. Most of the associated markers were found in genomic regions where previous reports had found genes or quantitative trait loci (QTL) influencing the same traits, providing an independent validation of this approach. In addition, many new chromosome regions for disease resistance and grain yield were identified in the wheat genome. Phenotyping across up to 60 environments and years allowed modeling of genotype x environment interaction, thereby making possible the identification of markers contributing to both additive and additive x additive interaction effects of traits.
DOI: 10.1534/genetics.107.078659
PubMed: 17947425
PubMed Central: PMC2147943
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
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This study used mapped diversity array technology (DArT) markers to find associations with resistance to stem rust, leaf rust, yellow rust, and powdery mildew, plus grain yield in five historical wheat international multienvironment trials from the International Maize and Wheat Improvement Center (CIMMYT). Two linear mixed models were used to assess marker-trait associations incorporating information on population structure and covariance between relatives. An integrated map containing 813 DArT markers and 831 other markers was constructed. Several linkage disequilibrium clusters bearing multiple host plant resistance genes were found. Most of the associated markers were found in genomic regions where previous reports had found genes or quantitative trait loci (QTL) influencing the same traits, providing an independent validation of this approach. In addition, many new chromosome regions for disease resistance and grain yield were identified in the wheat genome. Phenotyping across up to 60 environments and years allowed modeling of genotype x environment interaction, thereby making possible the identification of markers contributing to both additive and additive x additive interaction effects of traits.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">17947425</PMID><DateCompleted><Year>2008</Year><Month>02</Month><Day>11</Day></DateCompleted><DateRevised><Year>2018</Year><Month>11</Month><Day>13</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Print">0016-6731</ISSN><JournalIssue CitedMedium="Print"><Volume>177</Volume><Issue>3</Issue><PubDate><Year>2007</Year><Month>Nov</Month></PubDate></JournalIssue><Title>Genetics</Title><ISOAbbreviation>Genetics</ISOAbbreviation></Journal><ArticleTitle>Association analysis of historical bread wheat germplasm using additive genetic covariance of relatives and population structure.</ArticleTitle><Pagination><MedlinePgn>1889-913</MedlinePgn></Pagination><Abstract><AbstractText>Linkage disequilibrium can be used for identifying associations between traits of interest and genetic markers. This study used mapped diversity array technology (DArT) markers to find associations with resistance to stem rust, leaf rust, yellow rust, and powdery mildew, plus grain yield in five historical wheat international multienvironment trials from the International Maize and Wheat Improvement Center (CIMMYT). Two linear mixed models were used to assess marker-trait associations incorporating information on population structure and covariance between relatives. An integrated map containing 813 DArT markers and 831 other markers was constructed. Several linkage disequilibrium clusters bearing multiple host plant resistance genes were found. Most of the associated markers were found in genomic regions where previous reports had found genes or quantitative trait loci (QTL) influencing the same traits, providing an independent validation of this approach. In addition, many new chromosome regions for disease resistance and grain yield were identified in the wheat genome. Phenotyping across up to 60 environments and years allowed modeling of genotype x environment interaction, thereby making possible the identification of markers contributing to both additive and additive x additive interaction effects of traits.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Crossa</LastName><ForeName>José</ForeName><Initials>J</Initials><AffiliationInfo><Affiliation>International Maize and Wheat Improvement Center (CIMMYT), 06600 México, DF, Mexico. j.crossa@cgiar.org</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Burgueño</LastName><ForeName>Juan</ForeName><Initials>J</Initials></Author><Author ValidYN="Y"><LastName>Dreisigacker</LastName><ForeName>Susanne</ForeName><Initials>S</Initials></Author><Author ValidYN="Y"><LastName>Vargas</LastName><ForeName>Mateo</ForeName><Initials>M</Initials></Author><Author ValidYN="Y"><LastName>Herrera-Foessel</LastName><ForeName>Sybil A</ForeName><Initials>SA</Initials></Author><Author ValidYN="Y"><LastName>Lillemo</LastName><ForeName>Morten</ForeName><Initials>M</Initials></Author><Author ValidYN="Y"><LastName>Singh</LastName><ForeName>Ravi P</ForeName><Initials>RP</Initials></Author><Author ValidYN="Y"><LastName>Trethowan</LastName><ForeName>Richard</ForeName><Initials>R</Initials></Author><Author ValidYN="Y"><LastName>Warburton</LastName><ForeName>Marilyn</ForeName><Initials>M</Initials></Author><Author ValidYN="Y"><LastName>Franco</LastName><ForeName>Jorge</ForeName><Initials>J</Initials></Author><Author ValidYN="Y"><LastName>Reynolds</LastName><ForeName>Matthew</ForeName><Initials>M</Initials></Author><Author ValidYN="Y"><LastName>Crouch</LastName><ForeName>Jonathan H</ForeName><Initials>JH</Initials></Author><Author ValidYN="Y"><LastName>Ortiz</LastName><ForeName>Rodomiro</ForeName><Initials>R</Initials></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016456">Historical Article</PublicationType><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2007</Year><Month>10</Month><Day>18</Day></ArticleDate></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>Genetics</MedlineTA><NlmUniqueID>0374636</NlmUniqueID><ISSNLinking>0016-6731</ISSNLinking></MedlineJournalInfo><ChemicalList><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D005819">Genetic Markers</NameOfSubstance></Chemical></ChemicalList><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D002874" MajorTopicYN="N">Chromosome Mapping</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D017343" MajorTopicYN="N">Genes, Plant</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D005819" MajorTopicYN="N">Genetic Markers</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D049673" MajorTopicYN="N">History, 20th Century</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D049674" MajorTopicYN="N">History, 21st Century</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D016014" MajorTopicYN="N">Linear Models</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D015810" MajorTopicYN="N">Linkage Disequilibrium</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008957" MajorTopicYN="N">Models, Genetic</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D015233" MajorTopicYN="N">Models, Statistical</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D010641" MajorTopicYN="N">Phenotype</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D010935" MajorTopicYN="N">Plant Diseases</DescriptorName><QualifierName UI="Q000235" MajorTopicYN="N">genetics</QualifierName><QualifierName UI="Q000382" MajorTopicYN="N">microbiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D040641" MajorTopicYN="N">Quantitative Trait Loci</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D013997" MajorTopicYN="N">Time Factors</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D014908" MajorTopicYN="N">Triticum</DescriptorName><QualifierName UI="Q000235" MajorTopicYN="Y">genetics</QualifierName><QualifierName UI="Q000266" MajorTopicYN="N">history</QualifierName><QualifierName UI="Q000382" MajorTopicYN="N">microbiology</QualifierName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="pubmed"><Year>2007</Year><Month>10</Month><Day>20</Day><Hour>9</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2008</Year><Month>2</Month><Day>12</Day><Hour>9</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2007</Year><Month>10</Month><Day>20</Day><Hour>9</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId 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Singh</name><name sortKey="Trethowan, Richard" sort="Trethowan, Richard" uniqKey="Trethowan R" first="Richard" last="Trethowan">Richard Trethowan</name><name sortKey="Vargas, Mateo" sort="Vargas, Mateo" uniqKey="Vargas M" first="Mateo" last="Vargas">Mateo Vargas</name><name sortKey="Warburton, Marilyn" sort="Warburton, Marilyn" uniqKey="Warburton M" first="Marilyn" last="Warburton">Marilyn Warburton</name></noCountry><country name="Mexique"><noRegion><name sortKey="Crossa, Jose" sort="Crossa, Jose" uniqKey="Crossa J" first="José" last="Crossa">José Crossa</name></noRegion></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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