Dissecting the old Mediterranean durum wheat genetic architecture for phenology, biomass and yield formation by association mapping and QTL meta-analysis

Association mapping was used to identify genome regions affecting yield formation, crop phenology and crop biomass in a collection of 172 durum wheat landraces representative of the genetic diversity of ancient local durum varieties from the Mediterranean Basin. The collection was genotyped with 1,1...

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Autores: Soriano Soriano, José Miguel, Malosetti, Marcos, Roselló Hernández, Martina, Sorrells, Mark Earl, Royo i Calpe, Conxita
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2017
País:España
Institución:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:10459.1/467425
Acceso en línea:https://doi.org/10.1371/journal.pone.0178290
https://hdl.handle.net/10459.1/467425
Access Level:acceso abierto
Palabra clave:Wheat
Quantitative trait loci
Genetic loci
Genomics
Gene mapping
Metaanalysis
Crop genetics
Mediterranean Basin
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spelling Dissecting the old Mediterranean durum wheat genetic architecture for phenology, biomass and yield formation by association mapping and QTL meta-analysisSoriano Soriano, José MiguelMalosetti, MarcosRoselló Hernández, MartinaSorrells, Mark EarlRoyo i Calpe, ConxitaWheatQuantitative trait lociGenetic lociGenomicsGene mappingMetaanalysisCrop geneticsMediterranean BasinAssociation mapping was used to identify genome regions affecting yield formation, crop phenology and crop biomass in a collection of 172 durum wheat landraces representative of the genetic diversity of ancient local durum varieties from the Mediterranean Basin. The collection was genotyped with 1,149 DArT markers and phenotyped in Spanish northern and southern locations during three years. A total of 245 significant marker trait associations (MTAs) (P<0.01) were detected. Some of these associations confirmed previously identified quantitative trait loci (QTL) and/or candidate genes, and others are reported for the first time here. Eighty-six MTAs corresponded with yield and yield component traits, 70 to phenology and 89 to biomass production. Twelve genomic regions harbouring stable MTAs (significant in three or more environments) were identified, while five and two regions showed specific MTAs for northern and southern environments, respectively. Sixty per cent of MTAs were located on the B genome and 29% on the A genome. The marker wPt-9859 was detected in 12 MTAs, associated with six traits in four environments and the mean across years. To refine QTL positions, a meta-analysis was performed. A total of 477 unique QTLs were projected onto a durum wheat consensus map and were condensed to 71 meta-QTLs and left 13 QTLs as singletons. Sixty-one percent of QTLs explained less than 10% of the phenotypic variance confirming the high genetic complexity of the traits analysed.This research was funded by the projects AGL-2006-09226-C02-01 (CR) and AGL2015-65351-R (JMS) from the Spanish Ministry of Economy and Competitiveness (http://www.mineco.gob.es) and CERCA Programme /Generalitat de Catalunya (http://cerca.cat/). Jose Miguel Soriano was hired by the INIA-CCAA program funded by Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria and Generalitat de Catalunya (http://www.inia.es).Public Library of Science2017info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://doi.org/10.1371/journal.pone.0178290https://hdl.handle.net/10459.1/467425reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)Inglésinfo:eu-repo/grantAgreement/MEC/AGL2006-09226-C02-01/ESinfo:eu-repo/grantAgreement/MINECO/AGL2015-65351-R/ESReproducció del document publicat a: https://doi.org/10.1371/journal.pone.0178290Plos One, 2017, vol.12, núm. 5cc-by, (c) Soriano et al., 2017info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/4.0/oai:recercat.cat:10459.1/4674252026-05-29T05:05:01Z
dc.title.none.fl_str_mv Dissecting the old Mediterranean durum wheat genetic architecture for phenology, biomass and yield formation by association mapping and QTL meta-analysis
title Dissecting the old Mediterranean durum wheat genetic architecture for phenology, biomass and yield formation by association mapping and QTL meta-analysis
spellingShingle Dissecting the old Mediterranean durum wheat genetic architecture for phenology, biomass and yield formation by association mapping and QTL meta-analysis
Soriano Soriano, José Miguel
Wheat
Quantitative trait loci
Genetic loci
Genomics
Gene mapping
Metaanalysis
Crop genetics
Mediterranean Basin
title_short Dissecting the old Mediterranean durum wheat genetic architecture for phenology, biomass and yield formation by association mapping and QTL meta-analysis
title_full Dissecting the old Mediterranean durum wheat genetic architecture for phenology, biomass and yield formation by association mapping and QTL meta-analysis
title_fullStr Dissecting the old Mediterranean durum wheat genetic architecture for phenology, biomass and yield formation by association mapping and QTL meta-analysis
title_full_unstemmed Dissecting the old Mediterranean durum wheat genetic architecture for phenology, biomass and yield formation by association mapping and QTL meta-analysis
title_sort Dissecting the old Mediterranean durum wheat genetic architecture for phenology, biomass and yield formation by association mapping and QTL meta-analysis
dc.creator.none.fl_str_mv Soriano Soriano, José Miguel
Malosetti, Marcos
Roselló Hernández, Martina
Sorrells, Mark Earl
Royo i Calpe, Conxita
author Soriano Soriano, José Miguel
author_facet Soriano Soriano, José Miguel
Malosetti, Marcos
Roselló Hernández, Martina
Sorrells, Mark Earl
Royo i Calpe, Conxita
author_role author
author2 Malosetti, Marcos
Roselló Hernández, Martina
Sorrells, Mark Earl
Royo i Calpe, Conxita
author2_role author
author
author
author
dc.subject.none.fl_str_mv Wheat
Quantitative trait loci
Genetic loci
Genomics
Gene mapping
Metaanalysis
Crop genetics
Mediterranean Basin
topic Wheat
Quantitative trait loci
Genetic loci
Genomics
Gene mapping
Metaanalysis
Crop genetics
Mediterranean Basin
description Association mapping was used to identify genome regions affecting yield formation, crop phenology and crop biomass in a collection of 172 durum wheat landraces representative of the genetic diversity of ancient local durum varieties from the Mediterranean Basin. The collection was genotyped with 1,149 DArT markers and phenotyped in Spanish northern and southern locations during three years. A total of 245 significant marker trait associations (MTAs) (P<0.01) were detected. Some of these associations confirmed previously identified quantitative trait loci (QTL) and/or candidate genes, and others are reported for the first time here. Eighty-six MTAs corresponded with yield and yield component traits, 70 to phenology and 89 to biomass production. Twelve genomic regions harbouring stable MTAs (significant in three or more environments) were identified, while five and two regions showed specific MTAs for northern and southern environments, respectively. Sixty per cent of MTAs were located on the B genome and 29% on the A genome. The marker wPt-9859 was detected in 12 MTAs, associated with six traits in four environments and the mean across years. To refine QTL positions, a meta-analysis was performed. A total of 477 unique QTLs were projected onto a durum wheat consensus map and were condensed to 71 meta-QTLs and left 13 QTLs as singletons. Sixty-one percent of QTLs explained less than 10% of the phenotypic variance confirming the high genetic complexity of the traits analysed.
publishDate 2017
dc.date.none.fl_str_mv 2017
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://doi.org/10.1371/journal.pone.0178290
https://hdl.handle.net/10459.1/467425
url https://doi.org/10.1371/journal.pone.0178290
https://hdl.handle.net/10459.1/467425
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv info:eu-repo/grantAgreement/MEC/AGL2006-09226-C02-01/ES
info:eu-repo/grantAgreement/MINECO/AGL2015-65351-R/ES
Reproducció del document publicat a: https://doi.org/10.1371/journal.pone.0178290
Plos One, 2017, vol.12, núm. 5
dc.rights.none.fl_str_mv cc-by, (c) Soriano et al., 2017
info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/4.0/
rights_invalid_str_mv cc-by, (c) Soriano et al., 2017
https://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Public Library of Science
publisher.none.fl_str_mv Public Library of Science
dc.source.none.fl_str_mv reponame:Recercat. Dipósit de la Recerca de Catalunya
instname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
instname_str Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
reponame_str Recercat. Dipósit de la Recerca de Catalunya
collection Recercat. Dipósit de la Recerca de Catalunya
repository.name.fl_str_mv
repository.mail.fl_str_mv
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