Meta-QTL analysis and identification of candidate genes for quality, abiotic and biotic stress in durum wheat

Abstract 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 identif...

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Autores principales:	Jose Miguel Soriano, Pasqualina Colasuonno, Ilaria Marcotuli, Agata Gadaleta
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/37aa6ac3dfde45148b4cecd73bf654e1
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spelling	oai:doaj.org-article:37aa6ac3dfde45148b4cecd73bf654e12021-12-02T15:56:49ZMeta-QTL analysis and identification of candidate genes for quality, abiotic and biotic stress in durum wheat10.1038/s41598-021-91446-22045-2322https://doaj.org/article/37aa6ac3dfde45148b4cecd73bf654e12021-06-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-91446-2https://doaj.org/toc/2045-2322Abstract 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.Jose Miguel SorianoPasqualina ColasuonnoIlaria MarcotuliAgata GadaletaNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-15 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Jose Miguel Soriano Pasqualina Colasuonno Ilaria Marcotuli Agata Gadaleta Meta-QTL analysis and identification of candidate genes for quality, abiotic and biotic stress in durum wheat
description	Abstract 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.
format	article
author	Jose Miguel Soriano Pasqualina Colasuonno Ilaria Marcotuli Agata Gadaleta
author_facet	Jose Miguel Soriano Pasqualina Colasuonno Ilaria Marcotuli Agata Gadaleta
author_sort	Jose Miguel Soriano
title	Meta-QTL analysis and identification of candidate genes for quality, abiotic and biotic stress in durum wheat
title_short	Meta-QTL analysis and identification of candidate genes for quality, abiotic and biotic stress in durum wheat
title_full	Meta-QTL analysis and identification of candidate genes for quality, abiotic and biotic stress in durum wheat
title_fullStr	Meta-QTL analysis and identification of candidate genes for quality, abiotic and biotic stress in durum wheat
title_full_unstemmed	Meta-QTL analysis and identification of candidate genes for quality, abiotic and biotic stress in durum wheat
title_sort	meta-qtl analysis and identification of candidate genes for quality, abiotic and biotic stress in durum wheat
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/37aa6ac3dfde45148b4cecd73bf654e1
work_keys_str_mv	AT josemiguelsoriano metaqtlanalysisandidentificationofcandidategenesforqualityabioticandbioticstressindurumwheat AT pasqualinacolasuonno metaqtlanalysisandidentificationofcandidategenesforqualityabioticandbioticstressindurumwheat AT ilariamarcotuli metaqtlanalysisandidentificationofcandidategenesforqualityabioticandbioticstressindurumwheat AT agatagadaleta metaqtlanalysisandidentificationofcandidategenesforqualityabioticandbioticstressindurumwheat
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Meta-QTL analysis and identification of candidate genes for quality, abiotic and biotic stress in durum wheat

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