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Genetic analysis of protein content and oil content in soybean by genome-wide association study
Soybean seed protein content (PC) and oil content (OC) have important economic value. Detecting the loci/gene related to PC and OC is important for the marker-assisted selection (MAS) breeding of soybean. To detect the stable and new loci for PC and OC, a total of 320 soybean accessions collected fr...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10281628/ https://www.ncbi.nlm.nih.gov/pubmed/37346139 http://dx.doi.org/10.3389/fpls.2023.1182771 |
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author | Jin, Hui Yang, Xue Zhao, Haibin Song, Xizhang Tsvetkov, Yordan Dimitrov Wu, YuE Gao, Qiang Zhang, Rui Zhang, Jumei |
author_facet | Jin, Hui Yang, Xue Zhao, Haibin Song, Xizhang Tsvetkov, Yordan Dimitrov Wu, YuE Gao, Qiang Zhang, Rui Zhang, Jumei |
author_sort | Jin, Hui |
collection | PubMed |
description | Soybean seed protein content (PC) and oil content (OC) have important economic value. Detecting the loci/gene related to PC and OC is important for the marker-assisted selection (MAS) breeding of soybean. To detect the stable and new loci for PC and OC, a total of 320 soybean accessions collected from the major soybean-growing countries were used to conduct a genome-wide association study (GWAS) by resequencing. The PC ranged from 37.8% to 46.5% with an average of 41.1% and the OC ranged from 16.7% to 22.6% with an average of 21.0%. In total, 23 and 29 loci were identified, explaining 3.4%–15.4% and 5.1%–16.3% of the phenotypic variations for PC and OC, respectively. Of these, eight and five loci for PC and OC, respectively, overlapped previously reported loci and the other 15 and 24 loci were newly identified. In addition, nine candidate genes were identified, which are known to be involved in protein and oil biosynthesis/metabolism, including lipid transport and metabolism, signal transduction, and plant development pathway. These results uncover the genetic basis of soybean protein and oil biosynthesis and could be used to accelerate the progress in enhancing soybean PC and OC. |
format | Online Article Text |
id | pubmed-10281628 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-102816282023-06-21 Genetic analysis of protein content and oil content in soybean by genome-wide association study Jin, Hui Yang, Xue Zhao, Haibin Song, Xizhang Tsvetkov, Yordan Dimitrov Wu, YuE Gao, Qiang Zhang, Rui Zhang, Jumei Front Plant Sci Plant Science Soybean seed protein content (PC) and oil content (OC) have important economic value. Detecting the loci/gene related to PC and OC is important for the marker-assisted selection (MAS) breeding of soybean. To detect the stable and new loci for PC and OC, a total of 320 soybean accessions collected from the major soybean-growing countries were used to conduct a genome-wide association study (GWAS) by resequencing. The PC ranged from 37.8% to 46.5% with an average of 41.1% and the OC ranged from 16.7% to 22.6% with an average of 21.0%. In total, 23 and 29 loci were identified, explaining 3.4%–15.4% and 5.1%–16.3% of the phenotypic variations for PC and OC, respectively. Of these, eight and five loci for PC and OC, respectively, overlapped previously reported loci and the other 15 and 24 loci were newly identified. In addition, nine candidate genes were identified, which are known to be involved in protein and oil biosynthesis/metabolism, including lipid transport and metabolism, signal transduction, and plant development pathway. These results uncover the genetic basis of soybean protein and oil biosynthesis and could be used to accelerate the progress in enhancing soybean PC and OC. Frontiers Media S.A. 2023-06-06 /pmc/articles/PMC10281628/ /pubmed/37346139 http://dx.doi.org/10.3389/fpls.2023.1182771 Text en Copyright © 2023 Jin, Yang, Zhao, Song, Tsvetkov, Wu, Gao, Zhang and Zhang 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 Jin, Hui Yang, Xue Zhao, Haibin Song, Xizhang Tsvetkov, Yordan Dimitrov Wu, YuE Gao, Qiang Zhang, Rui Zhang, Jumei Genetic analysis of protein content and oil content in soybean by genome-wide association study |
title | Genetic analysis of protein content and oil content in soybean by genome-wide association study |
title_full | Genetic analysis of protein content and oil content in soybean by genome-wide association study |
title_fullStr | Genetic analysis of protein content and oil content in soybean by genome-wide association study |
title_full_unstemmed | Genetic analysis of protein content and oil content in soybean by genome-wide association study |
title_short | Genetic analysis of protein content and oil content in soybean by genome-wide association study |
title_sort | genetic analysis of protein content and oil content in soybean by genome-wide association study |
topic | Plant Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10281628/ https://www.ncbi.nlm.nih.gov/pubmed/37346139 http://dx.doi.org/10.3389/fpls.2023.1182771 |
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