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Identification of loci governing soybean seed protein content via genome-wide association study and selective signature analyses
Soybean [Glycine max (L.) Merr.] is an excellent source of protein. Understanding the genetic basis of protein content (PC) will accelerate breeding efforts to increase soybean quality. In the present study, a genome-wide association study (GWAS) was applied to detect quantitative trait loci (QTL) f...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9755886/ https://www.ncbi.nlm.nih.gov/pubmed/36531396 http://dx.doi.org/10.3389/fpls.2022.1045953 |
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author | Zhang, Hongmei Zhang, Guwen Zhang, Wei Wang, Qiong Xu, Wenjing Liu, Xiaoqing Cui, Xiaoyan Chen, Xin Chen, Huatao |
author_facet | Zhang, Hongmei Zhang, Guwen Zhang, Wei Wang, Qiong Xu, Wenjing Liu, Xiaoqing Cui, Xiaoyan Chen, Xin Chen, Huatao |
author_sort | Zhang, Hongmei |
collection | PubMed |
description | Soybean [Glycine max (L.) Merr.] is an excellent source of protein. Understanding the genetic basis of protein content (PC) will accelerate breeding efforts to increase soybean quality. In the present study, a genome-wide association study (GWAS) was applied to detect quantitative trait loci (QTL) for PC in soybean using 264 re-sequenced soybean accessions and a high-quality single nucleotide polymorphism (SNP) map. Eleven QTL were identified as associated with PC. The QTL qPC-14 was detected by GWAS in both environments and was shown to have undergone strong selection during soybean improvement. Fifteen candidate genes were identified in qPC-14, and three candidate genes showed differential expression between a high-PC and a low-PC variety during the seed development stage. The QTL identified here will be of significant use in molecular breeding efforts, and the candidate genes will play essential roles in exploring the mechanisms of protein biosynthesis. |
format | Online Article Text |
id | pubmed-9755886 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-97558862022-12-17 Identification of loci governing soybean seed protein content via genome-wide association study and selective signature analyses Zhang, Hongmei Zhang, Guwen Zhang, Wei Wang, Qiong Xu, Wenjing Liu, Xiaoqing Cui, Xiaoyan Chen, Xin Chen, Huatao Front Plant Sci Plant Science Soybean [Glycine max (L.) Merr.] is an excellent source of protein. Understanding the genetic basis of protein content (PC) will accelerate breeding efforts to increase soybean quality. In the present study, a genome-wide association study (GWAS) was applied to detect quantitative trait loci (QTL) for PC in soybean using 264 re-sequenced soybean accessions and a high-quality single nucleotide polymorphism (SNP) map. Eleven QTL were identified as associated with PC. The QTL qPC-14 was detected by GWAS in both environments and was shown to have undergone strong selection during soybean improvement. Fifteen candidate genes were identified in qPC-14, and three candidate genes showed differential expression between a high-PC and a low-PC variety during the seed development stage. The QTL identified here will be of significant use in molecular breeding efforts, and the candidate genes will play essential roles in exploring the mechanisms of protein biosynthesis. Frontiers Media S.A. 2022-12-02 /pmc/articles/PMC9755886/ /pubmed/36531396 http://dx.doi.org/10.3389/fpls.2022.1045953 Text en Copyright © 2022 Zhang, Zhang, Zhang, Wang, Xu, Liu, Cui, Chen and Chen 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 Zhang, Hongmei Zhang, Guwen Zhang, Wei Wang, Qiong Xu, Wenjing Liu, Xiaoqing Cui, Xiaoyan Chen, Xin Chen, Huatao Identification of loci governing soybean seed protein content via genome-wide association study and selective signature analyses |
title | Identification of loci governing soybean seed protein content via genome-wide association study and selective signature analyses |
title_full | Identification of loci governing soybean seed protein content via genome-wide association study and selective signature analyses |
title_fullStr | Identification of loci governing soybean seed protein content via genome-wide association study and selective signature analyses |
title_full_unstemmed | Identification of loci governing soybean seed protein content via genome-wide association study and selective signature analyses |
title_short | Identification of loci governing soybean seed protein content via genome-wide association study and selective signature analyses |
title_sort | identification of loci governing soybean seed protein content via genome-wide association study and selective signature analyses |
topic | Plant Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9755886/ https://www.ncbi.nlm.nih.gov/pubmed/36531396 http://dx.doi.org/10.3389/fpls.2022.1045953 |
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