Show simple item record

dc.contributor.authorSoriano, Jose Miguel
dc.contributor.authorAlvaro, Fanny
dc.contributor.otherProducció Vegetalca
dc.date.accessioned2019-12-10T11:52:11Z
dc.date.available2019-12-10T11:52:11Z
dc.date.issued2019-07-22
dc.identifier.citationSoriano, Jose Miguel, and Fanny Alvaro. 2019. "Discovering Consensus Genomic Regions In Wheat For Root-Related Traits By QTL Meta-Analysis". Scientific Reports 9 (1). Springer Science and Business Media LLC. doi:10.1038/s41598-019-47038-2.ca
dc.identifier.issn2045-2322ca
dc.identifier.urihttp://hdl.handle.net/20.500.12327/578
dc.description.abstractRoot system architecture is crucial for wheat adaptation to drought stress, but phenotyping for root traits in breeding programmes is difficult and time-consuming owing to the belowground characteristics of the system. Identifying quantitative trait loci (QTLs) and linked molecular markers and using marker-assisted selection is an efficient way to increase selection efficiency and boost genetic gains in breeding programmes. Hundreds of QTLs have been identified for different root traits in the last few years. In the current study, consensus QTL regions were identified through QTL meta-analysis. First, a consensus map comprising 7352 markers was constructed. For the meta-analysis, 754 QTLs were retrieved from the literature and 634 of them were projected onto the consensus map. Meta-analysis grouped 557 QTLs in 94 consensus QTL regions, or meta-QTLs (MQTLs), and 18 QTLs remained as singletons. The recently published genome sequence of wheat was used to search for gene models within the MQTL peaks. As a result, gene models for 68 of the 94 Root_MQTLs were found, 35 of them related to root architecture and/or drought stress response. This work will facilitate QTL cloning and pyramiding to develop new cultivars with specific root architecture for coping with environmental constraints.ca
dc.format.extent14ca
dc.language.isoengca
dc.publisherNature Researchca
dc.relation.ispartofScientific Reportsca
dc.rightsAttribution 4.0 Internationalca
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.titleDiscovering consensus genomic regions in wheat for root-related traits by QTL meta-analysisca
dc.typeinfo:eu-repo/semantics/articleca
dc.description.versioninfo:eu-repo/semantics/publishedVersionca
dc.rights.accessLevelinfo:eu-repo/semantics/openAccess
dc.embargo.termscapca
dc.relation.projectIDMINECO/Programa Estatal de I+D+I orientada a los retos de la sociedad/AGL2015-65351-R/ES/HERRAMIENTAS PARA LA SELECCION ASISTIDA POR MARCADORES EN PROGRAMAS DE MEJORA DE TRIGO A ESCALA NACIONAL E INTERNACIONAL: ADAPTACION AL CAMBIO CLIMATICO Y CALIDAD INDUSTRIAL/ca
dc.relation.projectIDINIA/Programa Estatal de I+D+I orientada a los retos de la sociedad/RTA2015-00072-C03-01/ES/Mejora genética del trigo para hacer frente a los retos actuales del cultivo en España: adaptación al cambio climático, calidad y resistencia a estreses bióticos/ca
dc.subject.udc633ca
dc.identifier.doihttps://doi.org/10.1038/s41598-019-47038-2ca
dc.contributor.groupCultius Extensius Sosteniblesca


Files in this item

 

This item appears in the following Collection(s)

Show simple item record

Attribution 4.0 International
Except where otherwise noted, this item's license is described as http://creativecommons.org/licenses/by/4.0/