Multi-trait and multi-environment QTL analyses for resistance to wheat diseases.
Identifieur interne : 000680 ( Main/Exploration ); précédent : 000679; suivant : 000681Multi-trait and multi-environment QTL analyses for resistance to wheat diseases.
Auteurs : Sukhwinder-Singh [Mexique] ; Mateo V. Hernandez ; Jose Crossa ; Pawan K. Singh ; Navtej S. Bains ; Kuldeep Singh ; Indu SharmaSource :
- PloS one [ 1932-6203 ] ; 2012.
Descripteurs français
- KwdFr :
- Locus de caractère quantitatif (génétique), Locus de caractère quantitatif (physiologie), Maladies des plantes (génétique), Maladies des plantes (immunologie), Maladies des plantes (microbiologie), Résistance à la maladie (génétique), Résistance à la maladie (physiologie), Triticum (génétique), Triticum (immunologie), Triticum (microbiologie).
- MESH :
- génétique : Locus de caractère quantitatif, Maladies des plantes, Résistance à la maladie, Triticum.
- immunologie : Maladies des plantes, Triticum.
- microbiologie : Maladies des plantes, Triticum.
- physiologie : Locus de caractère quantitatif, Résistance à la maladie.
English descriptors
- KwdEn :
- MESH :
- genetics : Disease Resistance, Plant Diseases, Quantitative Trait Loci, Triticum.
- immunology : Plant Diseases, Triticum.
- microbiology : Plant Diseases, Triticum.
- physiology : Disease Resistance, Quantitative Trait Loci.
Abstract
BACKGROUND
Stripe rust, leaf rust, tan spot, and Karnal bunt are economically significant diseases impacting wheat production. The objectives of this study were to identify quantitative trait loci for resistance to these diseases in a recombinant inbred line (RIL) from a cross HD29/WH542, and to evaluate the evidence for the presence loci on chromosome region conferring multiple disease resistance.
METHODOLOGY/PRINCIPAL FINDINGS
The RIL population was evaluated for four diseases and genotyped with DNA markers. Multi-trait (MT) analysis revealed thirteen QTLs on nine chromosomes, significantly associated with resistance. Phenotypic variation explained by all significant QTLs for KB, TS, Yr, Lr diseases were 57%, 55%, 38% and 22%, respectively. Marginal trait analysis identified the most significant QTLs for resistance to KB on chromosomes 1BS, 2DS, 3BS, 4BL, 5BL, and 5DL. Chromosomes 3AS and 4BL showed significant association with TS resistance. Significant QTLs for Yr resistance were identified on chromosomes 2AS, 4BL and 5BL, while Lr was significant on 6DS. MT analysis revealed that all the QTLs except 3BL significantly reduce KB and was contributed from parent HD29 while all resistant QTLs for TS except on chromosomes 2DS.1, 2DS.2 and 3BL came from WH542. Five resistant QTLs for Yr and six for Lr were contributed from parents WH542 and HD29 respectively. Chromosome region on 4BL showed significant association to KB, TS, and Yr in the population. The multi environment analysis for KB identified three putative QTLs of which two new QTLs, mapped on chromosomes 3BS and 5DL explained 10 and 20% of the phenotypic variation, respectively.
CONCLUSIONS/SIGNIFICANCE
This study revealed that MT analysis is an effective tool for detection of multi-trait QTLs for disease resistance. This approach is a more effective and practical than individual QTL mapping analyses. MT analysis identified RILs that combine resistance to multiple diseases from parents WH542 and/or HD29.
DOI: 10.1371/journal.pone.0038008
PubMed: 22679489
PubMed Central: PMC3367963
Affiliations:
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Hernandez</name></author><author><name sortKey="Crossa, Jose" sort="Crossa, Jose" uniqKey="Crossa J" first="Jose" last="Crossa">Jose Crossa</name></author><author><name sortKey="Singh, Pawan K" sort="Singh, Pawan K" uniqKey="Singh P" first="Pawan K" last="Singh">Pawan K. Singh</name></author><author><name sortKey="Bains, Navtej S" sort="Bains, Navtej S" uniqKey="Bains N" first="Navtej S" last="Bains">Navtej S. Bains</name></author><author><name sortKey="Singh, Kuldeep" sort="Singh, Kuldeep" uniqKey="Singh K" first="Kuldeep" last="Singh">Kuldeep Singh</name></author><author><name sortKey="Sharma, Indu" sort="Sharma, Indu" uniqKey="Sharma I" first="Indu" last="Sharma">Indu Sharma</name></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2012">2012</date><idno type="RBID">pubmed:22679489</idno><idno type="pmid">22679489</idno><idno type="doi">10.1371/journal.pone.0038008</idno><idno type="pmc">PMC3367963</idno><idno type="wicri:Area/Main/Corpus">000691</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Corpus" wicri:corpus="PubMed">000691</idno><idno type="wicri:Area/Main/Curation">000691</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Curation">000691</idno><idno type="wicri:Area/Main/Exploration">000691</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Multi-trait and multi-environment QTL analyses for resistance to wheat diseases.</title><author><name sortKey="Sukhwinder Singh" sort="Sukhwinder Singh" uniqKey="Sukhwinder Singh" last="Sukhwinder-Singh">Sukhwinder-Singh</name><affiliation wicri:level="1"><nlm:affiliation>International Maize and Wheat Improvement Center, CIMMYT, Mexico Distrito Federal, Mexico. suk.singh@cgiar.org</nlm:affiliation><country xml:lang="fr">Mexique</country><wicri:regionArea>International Maize and Wheat Improvement Center, CIMMYT, Mexico Distrito Federal</wicri:regionArea><wicri:noRegion>Mexico Distrito Federal</wicri:noRegion></affiliation></author><author><name sortKey="Hernandez, Mateo V" sort="Hernandez, Mateo V" uniqKey="Hernandez M" first="Mateo V" last="Hernandez">Mateo V. Hernandez</name></author><author><name sortKey="Crossa, Jose" sort="Crossa, Jose" uniqKey="Crossa J" first="Jose" last="Crossa">Jose Crossa</name></author><author><name sortKey="Singh, Pawan K" sort="Singh, Pawan K" uniqKey="Singh P" first="Pawan K" last="Singh">Pawan K. Singh</name></author><author><name sortKey="Bains, Navtej S" sort="Bains, Navtej S" uniqKey="Bains N" first="Navtej S" last="Bains">Navtej S. Bains</name></author><author><name sortKey="Singh, Kuldeep" sort="Singh, Kuldeep" uniqKey="Singh K" first="Kuldeep" last="Singh">Kuldeep Singh</name></author><author><name sortKey="Sharma, Indu" sort="Sharma, Indu" uniqKey="Sharma I" first="Indu" last="Sharma">Indu Sharma</name></author></analytic><series><title level="j">PloS one</title><idno type="eISSN">1932-6203</idno><imprint><date when="2012" type="published">2012</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Disease Resistance (genetics)</term><term>Disease Resistance (physiology)</term><term>Plant Diseases (genetics)</term><term>Plant Diseases (immunology)</term><term>Plant Diseases (microbiology)</term><term>Quantitative Trait Loci (genetics)</term><term>Quantitative Trait Loci (physiology)</term><term>Triticum (genetics)</term><term>Triticum (immunology)</term><term>Triticum (microbiology)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Locus de caractère quantitatif (génétique)</term><term>Locus de caractère quantitatif (physiologie)</term><term>Maladies des plantes (génétique)</term><term>Maladies des plantes (immunologie)</term><term>Maladies des plantes (microbiologie)</term><term>Résistance à la maladie (génétique)</term><term>Résistance à la maladie (physiologie)</term><term>Triticum (génétique)</term><term>Triticum (immunologie)</term><term>Triticum (microbiologie)</term></keywords><keywords scheme="MESH" qualifier="genetics" xml:lang="en"><term>Disease Resistance</term><term>Plant Diseases</term><term>Quantitative Trait Loci</term><term>Triticum</term></keywords><keywords scheme="MESH" qualifier="génétique" xml:lang="fr"><term>Locus de caractère quantitatif</term><term>Maladies des plantes</term><term>Résistance à la maladie</term><term>Triticum</term></keywords><keywords scheme="MESH" qualifier="immunologie" xml:lang="fr"><term>Maladies des plantes</term><term>Triticum</term></keywords><keywords scheme="MESH" qualifier="immunology" xml:lang="en"><term>Plant Diseases</term><term>Triticum</term></keywords><keywords scheme="MESH" qualifier="microbiologie" xml:lang="fr"><term>Maladies des plantes</term><term>Triticum</term></keywords><keywords scheme="MESH" qualifier="microbiology" xml:lang="en"><term>Plant Diseases</term><term>Triticum</term></keywords><keywords scheme="MESH" qualifier="physiologie" xml:lang="fr"><term>Locus de caractère quantitatif</term><term>Résistance à la maladie</term></keywords><keywords scheme="MESH" qualifier="physiology" xml:lang="en"><term>Disease Resistance</term><term>Quantitative Trait Loci</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p><b>BACKGROUND</b></p><p>Stripe rust, leaf rust, tan spot, and Karnal bunt are economically significant diseases impacting wheat production. The objectives of this study were to identify quantitative trait loci for resistance to these diseases in a recombinant inbred line (RIL) from a cross HD29/WH542, and to evaluate the evidence for the presence loci on chromosome region conferring multiple disease resistance.</p></div><div type="abstract" xml:lang="en"><p><b>METHODOLOGY/PRINCIPAL FINDINGS</b></p><p>The RIL population was evaluated for four diseases and genotyped with DNA markers. Multi-trait (MT) analysis revealed thirteen QTLs on nine chromosomes, significantly associated with resistance. Phenotypic variation explained by all significant QTLs for KB, TS, Yr, Lr diseases were 57%, 55%, 38% and 22%, respectively. Marginal trait analysis identified the most significant QTLs for resistance to KB on chromosomes 1BS, 2DS, 3BS, 4BL, 5BL, and 5DL. Chromosomes 3AS and 4BL showed significant association with TS resistance. Significant QTLs for Yr resistance were identified on chromosomes 2AS, 4BL and 5BL, while Lr was significant on 6DS. MT analysis revealed that all the QTLs except 3BL significantly reduce KB and was contributed from parent HD29 while all resistant QTLs for TS except on chromosomes 2DS.1, 2DS.2 and 3BL came from WH542. Five resistant QTLs for Yr and six for Lr were contributed from parents WH542 and HD29 respectively. Chromosome region on 4BL showed significant association to KB, TS, and Yr in the population. The multi environment analysis for KB identified three putative QTLs of which two new QTLs, mapped on chromosomes 3BS and 5DL explained 10 and 20% of the phenotypic variation, respectively.</p></div><div type="abstract" xml:lang="en"><p><b>CONCLUSIONS/SIGNIFICANCE</b></p><p>This study revealed that MT analysis is an effective tool for detection of multi-trait QTLs for disease resistance. This approach is a more effective and practical than individual QTL mapping analyses. MT analysis identified RILs that combine resistance to multiple diseases from parents WH542 and/or HD29.</p></div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">22679489</PMID><DateCompleted><Year>2012</Year><Month>10</Month><Day>02</Day></DateCompleted><DateRevised><Year>2018</Year><Month>11</Month><Day>13</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1932-6203</ISSN><JournalIssue CitedMedium="Internet"><Volume>7</Volume><Issue>6</Issue><PubDate><Year>2012</Year></PubDate></JournalIssue><Title>PloS one</Title><ISOAbbreviation>PLoS One</ISOAbbreviation></Journal><ArticleTitle>Multi-trait and multi-environment QTL analyses for resistance to wheat diseases.</ArticleTitle><Pagination><MedlinePgn>e38008</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1371/journal.pone.0038008</ELocationID><Abstract><AbstractText Label="BACKGROUND" NlmCategory="BACKGROUND">Stripe rust, leaf rust, tan spot, and Karnal bunt are economically significant diseases impacting wheat production. The objectives of this study were to identify quantitative trait loci for resistance to these diseases in a recombinant inbred line (RIL) from a cross HD29/WH542, and to evaluate the evidence for the presence loci on chromosome region conferring multiple disease resistance.</AbstractText><AbstractText Label="METHODOLOGY/PRINCIPAL FINDINGS" NlmCategory="RESULTS">The RIL population was evaluated for four diseases and genotyped with DNA markers. Multi-trait (MT) analysis revealed thirteen QTLs on nine chromosomes, significantly associated with resistance. Phenotypic variation explained by all significant QTLs for KB, TS, Yr, Lr diseases were 57%, 55%, 38% and 22%, respectively. Marginal trait analysis identified the most significant QTLs for resistance to KB on chromosomes 1BS, 2DS, 3BS, 4BL, 5BL, and 5DL. Chromosomes 3AS and 4BL showed significant association with TS resistance. Significant QTLs for Yr resistance were identified on chromosomes 2AS, 4BL and 5BL, while Lr was significant on 6DS. MT analysis revealed that all the QTLs except 3BL significantly reduce KB and was contributed from parent HD29 while all resistant QTLs for TS except on chromosomes 2DS.1, 2DS.2 and 3BL came from WH542. Five resistant QTLs for Yr and six for Lr were contributed from parents WH542 and HD29 respectively. Chromosome region on 4BL showed significant association to KB, TS, and Yr in the population. The multi environment analysis for KB identified three putative QTLs of which two new QTLs, mapped on chromosomes 3BS and 5DL explained 10 and 20% of the phenotypic variation, respectively.</AbstractText><AbstractText Label="CONCLUSIONS/SIGNIFICANCE" NlmCategory="CONCLUSIONS">This study revealed that MT analysis is an effective tool for detection of multi-trait QTLs for disease resistance. This approach is a more effective and practical than individual QTL mapping analyses. MT analysis identified RILs that combine resistance to multiple diseases from parents WH542 and/or HD29.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Sukhwinder-Singh</LastName><AffiliationInfo><Affiliation>International Maize and Wheat Improvement Center, CIMMYT, Mexico Distrito Federal, Mexico. suk.singh@cgiar.org</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Hernandez</LastName><ForeName>Mateo V</ForeName><Initials>MV</Initials></Author><Author ValidYN="Y"><LastName>Crossa</LastName><ForeName>Jose</ForeName><Initials>J</Initials></Author><Author ValidYN="Y"><LastName>Singh</LastName><ForeName>Pawan K</ForeName><Initials>PK</Initials></Author><Author ValidYN="Y"><LastName>Bains</LastName><ForeName>Navtej S</ForeName><Initials>NS</Initials></Author><Author ValidYN="Y"><LastName>Singh</LastName><ForeName>Kuldeep</ForeName><Initials>K</Initials></Author><Author 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sortKey="Bains, Navtej S" sort="Bains, Navtej S" uniqKey="Bains N" first="Navtej S" last="Bains">Navtej S. Bains</name><name sortKey="Crossa, Jose" sort="Crossa, Jose" uniqKey="Crossa J" first="Jose" last="Crossa">Jose Crossa</name><name sortKey="Hernandez, Mateo V" sort="Hernandez, Mateo V" uniqKey="Hernandez M" first="Mateo V" last="Hernandez">Mateo V. Hernandez</name><name sortKey="Sharma, Indu" sort="Sharma, Indu" uniqKey="Sharma I" first="Indu" last="Sharma">Indu Sharma</name><name sortKey="Singh, Kuldeep" sort="Singh, Kuldeep" uniqKey="Singh K" first="Kuldeep" last="Singh">Kuldeep Singh</name><name sortKey="Singh, Pawan K" sort="Singh, Pawan K" uniqKey="Singh P" first="Pawan K" last="Singh">Pawan K. Singh</name></noCountry><country name="Mexique"><noRegion><name sortKey="Sukhwinder Singh" sort="Sukhwinder Singh" uniqKey="Sukhwinder Singh" last="Sukhwinder-Singh">Sukhwinder-Singh</name></noRegion></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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