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Identification of major QTLs for yield-related traits with improved genetic map in wheat

INTRODUCTION: Identification of stable major quantitative trait loci (QTLs) for yield-related traits is important for yield potential improvement in wheat breeding. METHODS: In the present study, we genotyped a recombinant inbred line (RIL) population using the Wheat 660K SNP array and constructed a...

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Autores principales: Ma, Feifei, Xu, Yunfeng, Wang, Ruifang, Tong, Yiping, Zhang, Aimin, Liu, Dongcheng, An, Diaoguo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10063875/
https://www.ncbi.nlm.nih.gov/pubmed/37008504
http://dx.doi.org/10.3389/fpls.2023.1138696
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author Ma, Feifei
Xu, Yunfeng
Wang, Ruifang
Tong, Yiping
Zhang, Aimin
Liu, Dongcheng
An, Diaoguo
author_facet Ma, Feifei
Xu, Yunfeng
Wang, Ruifang
Tong, Yiping
Zhang, Aimin
Liu, Dongcheng
An, Diaoguo
author_sort Ma, Feifei
collection PubMed
description INTRODUCTION: Identification of stable major quantitative trait loci (QTLs) for yield-related traits is important for yield potential improvement in wheat breeding. METHODS: In the present study, we genotyped a recombinant inbred line (RIL) population using the Wheat 660K SNP array and constructed a high-density genetic map. The genetic map showed high collinearity with the wheat genome assembly. Fourteen yield-related traits were evaluated in six environments for QTL analysis. RESULTS AND DISCUSSION: A total of 12 environmentally stable QTLs were identified in at least three environments, explaining up to 34.7% of the phenotypic variation. Of these, QTkw-1B.2 for thousand kernel weight (TKW), QPh-2D.1 (QSl-2D.2/QScn-2D.1) for plant height (PH), spike length (SL) and spikelet compactness (SCN), QPh-4B.1 for PH, and QTss-7A.3 for total spikelet number per spike (TSS) were detected in at least five environments. A set of Kompetitive Allele Specific PCR (KASP) markers were converted based on the above QTLs and used to genotype a diversity panel comprising of 190 wheat accessions across four growing seasons. QPh-2D.1 (QSl-2D.2/QScn-2D.1), QPh-4B.1 and QTss-7A.3 were successfully validated. Compared with previous studies, QTkw-1B.2 and QPh-4B.1 should be novel QTLs. These results provided a solid foundation for further positional cloning and marker-assisted selection of the targeted QTLs in wheat breeding programs.
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spelling pubmed-100638752023-04-01 Identification of major QTLs for yield-related traits with improved genetic map in wheat Ma, Feifei Xu, Yunfeng Wang, Ruifang Tong, Yiping Zhang, Aimin Liu, Dongcheng An, Diaoguo Front Plant Sci Plant Science INTRODUCTION: Identification of stable major quantitative trait loci (QTLs) for yield-related traits is important for yield potential improvement in wheat breeding. METHODS: In the present study, we genotyped a recombinant inbred line (RIL) population using the Wheat 660K SNP array and constructed a high-density genetic map. The genetic map showed high collinearity with the wheat genome assembly. Fourteen yield-related traits were evaluated in six environments for QTL analysis. RESULTS AND DISCUSSION: A total of 12 environmentally stable QTLs were identified in at least three environments, explaining up to 34.7% of the phenotypic variation. Of these, QTkw-1B.2 for thousand kernel weight (TKW), QPh-2D.1 (QSl-2D.2/QScn-2D.1) for plant height (PH), spike length (SL) and spikelet compactness (SCN), QPh-4B.1 for PH, and QTss-7A.3 for total spikelet number per spike (TSS) were detected in at least five environments. A set of Kompetitive Allele Specific PCR (KASP) markers were converted based on the above QTLs and used to genotype a diversity panel comprising of 190 wheat accessions across four growing seasons. QPh-2D.1 (QSl-2D.2/QScn-2D.1), QPh-4B.1 and QTss-7A.3 were successfully validated. Compared with previous studies, QTkw-1B.2 and QPh-4B.1 should be novel QTLs. These results provided a solid foundation for further positional cloning and marker-assisted selection of the targeted QTLs in wheat breeding programs. Frontiers Media S.A. 2023-03-17 /pmc/articles/PMC10063875/ /pubmed/37008504 http://dx.doi.org/10.3389/fpls.2023.1138696 Text en Copyright © 2023 Ma, Xu, Wang, Tong, Zhang, Liu and An https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Plant Science
Ma, Feifei
Xu, Yunfeng
Wang, Ruifang
Tong, Yiping
Zhang, Aimin
Liu, Dongcheng
An, Diaoguo
Identification of major QTLs for yield-related traits with improved genetic map in wheat
title Identification of major QTLs for yield-related traits with improved genetic map in wheat
title_full Identification of major QTLs for yield-related traits with improved genetic map in wheat
title_fullStr Identification of major QTLs for yield-related traits with improved genetic map in wheat
title_full_unstemmed Identification of major QTLs for yield-related traits with improved genetic map in wheat
title_short Identification of major QTLs for yield-related traits with improved genetic map in wheat
title_sort identification of major qtls for yield-related traits with improved genetic map in wheat
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10063875/
https://www.ncbi.nlm.nih.gov/pubmed/37008504
http://dx.doi.org/10.3389/fpls.2023.1138696
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