Cargando…
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...
Autores principales: | , , , , , , |
---|---|
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 |
_version_ | 1785017785820119040 |
---|---|
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. |
format | Online Article Text |
id | pubmed-10063875 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT mafeifei identificationofmajorqtlsforyieldrelatedtraitswithimprovedgeneticmapinwheat AT xuyunfeng identificationofmajorqtlsforyieldrelatedtraitswithimprovedgeneticmapinwheat AT wangruifang identificationofmajorqtlsforyieldrelatedtraitswithimprovedgeneticmapinwheat AT tongyiping identificationofmajorqtlsforyieldrelatedtraitswithimprovedgeneticmapinwheat AT zhangaimin identificationofmajorqtlsforyieldrelatedtraitswithimprovedgeneticmapinwheat AT liudongcheng identificationofmajorqtlsforyieldrelatedtraitswithimprovedgeneticmapinwheat AT andiaoguo identificationofmajorqtlsforyieldrelatedtraitswithimprovedgeneticmapinwheat |