Discovering consensus genomic regions in wheat for root-related traits by QTL meta-analysis
Ver/Abrir
Autor/a
Soriano, Jose Miguel
Alvaro, Fanny
Fecha de publicación
2019-07-22ISSN
2045-2322
Resumen
Root 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.
Tipo de documento
Artículo
Versión del documento
Versión publicada
Lengua
English
Materias (CDU)
633 - Cultivos y producciones
Páginas
14
Publicado por
Nature Research
Publicado en
Scientific Reports
Citación
Soriano, 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.
Número del acuerdo de la subvención
MINECO/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/
INIA/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/
Program
Cultius Extensius Sostenibles
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