Meta-QTL analysis and identification of candidate genes for quality, abiotic and biotic stress in durum wheat
Soriano, Jose Miguel
The genetic improvement of durum wheat and enhancement of plant performance often depend on the identification of stable quantitative trait loci (QTL) and closely linked molecular markers. This is essential for better understanding the genetic basis of important agronomic traits and identifying an effective method for improving selection efficiency in breeding programmes. Meta-QTL analysis is a useful approach for dissecting the genetic basis of complex traits, providing broader allelic coverage and higher mapping resolution for the identification of putative molecular markers to be used in marker-assisted selection. In the present study, extensive QTL meta-analysis was conducted on 45 traits of durum wheat, including quality and biotic and abiotic stress-related traits. A total of 368 QTL distributed on all 14 chromosomes of genomes A and B were projected: 171 corresponded to quality-related traits, 127 to abiotic stress and 71 to biotic stress, of which 318 were grouped in 85 meta-QTL (MQTL), 24 remained as single QTL and 26 were not assigned to any MQTL. The number of MQTL per chromosome ranged from 4 in chromosomes 1A and 6A to 9 in chromosome 7B; chromosomes 3A and 7A showed the highest number of individual QTL (4), and chromosome 7B the highest number of undefined QTL (4). The recently published genome sequence of durum wheat was used to search for candidate genes within the MQTL peaks. This work will facilitate cloning and pyramiding of QTL to develop new cultivars with specific quantitative traits and speed up breeding programs.
631 - Agricultura. Agronomia. Maquinària agrícola. Sòls. Edafologia agrícola
Is part of
Soriano, Jose Miguel, Pasqualina Colasuonno, Ilaria Marcotuli, and Agata Gadaleta. 2021. "Meta-QTL Analysis And Identification Of Candidate Genes For Quality, Abiotic And Biotic Stress In Durum Wheat". Scientific Reports 11 (1). doi:10.1038/s41598-021-91446-2.
Grant agreement number
MICIU/Programa Estatal de generación del conocimiento y fortalecimiento científico y tecnológico del sistema I+D+I/PID2019-109089RB-C31/ES/Mejora de la precisión y eficiencia en la selección de caracteres complejos en la mejora del trigo en ambientes mediterráneos mediante selección asistida y selección genómica/TRENDING_Wheat
Cultius Extensius Sostenibles
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