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Identification of novel candidate loci and genes for seed vigor-related traits in upland cotton (Gossypium hirsutum L.) via GWAS
Seed vigor (SV) is a crucial trait determining the quality of crop seeds. Currently, over 80% of China’s cotton-planting area is in Xinjiang Province, where a fully mechanized planting model is adopted, accounting for more than 90% of the total fiber production. Therefore, identifying SV-related loc...
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/PMC10503134/ https://www.ncbi.nlm.nih.gov/pubmed/37719213 http://dx.doi.org/10.3389/fpls.2023.1254365 |
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author | Li, Libei Hu, Yu Wang, Yongbo Zhao, Shuqi You, Yijin Liu, Ruijie Wang, Jiayi Yan, Mengyuan Zhao, Fengli Huang, Juan Yu, Shuxun Feng, Zhen |
author_facet | Li, Libei Hu, Yu Wang, Yongbo Zhao, Shuqi You, Yijin Liu, Ruijie Wang, Jiayi Yan, Mengyuan Zhao, Fengli Huang, Juan Yu, Shuxun Feng, Zhen |
author_sort | Li, Libei |
collection | PubMed |
description | Seed vigor (SV) is a crucial trait determining the quality of crop seeds. Currently, over 80% of China’s cotton-planting area is in Xinjiang Province, where a fully mechanized planting model is adopted, accounting for more than 90% of the total fiber production. Therefore, identifying SV-related loci and genes is crucial for improving cotton yield in Xinjiang. In this study, three seed vigor-related traits, including germination potential, germination rate, and germination index, were investigated across three environments in a panel of 355 diverse accessions based on 2,261,854 high-quality single-nucleotide polymorphisms (SNPs). A total of 26 significant SNPs were detected and divided into six quantitative trait locus regions, including 121 predicted candidate genes. By combining gene expression, gene annotation, and haplotype analysis, two novel candidate genes (Ghir_A09G002730 and Ghir_D03G009280) within qGR-A09-1 and qGI/GP/GR-D03-3 were associated with vigor-related traits, and Ghir_A09G002730 was found to be involved in artificial selection during cotton breeding by population genetic analysis. Thus, understanding the genetic mechanisms underlying seed vigor-related traits in cotton could help increase the efficiency of direct seeding by molecular marker-assisted selection breeding. |
format | Online Article Text |
id | pubmed-10503134 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-105031342023-09-16 Identification of novel candidate loci and genes for seed vigor-related traits in upland cotton (Gossypium hirsutum L.) via GWAS Li, Libei Hu, Yu Wang, Yongbo Zhao, Shuqi You, Yijin Liu, Ruijie Wang, Jiayi Yan, Mengyuan Zhao, Fengli Huang, Juan Yu, Shuxun Feng, Zhen Front Plant Sci Plant Science Seed vigor (SV) is a crucial trait determining the quality of crop seeds. Currently, over 80% of China’s cotton-planting area is in Xinjiang Province, where a fully mechanized planting model is adopted, accounting for more than 90% of the total fiber production. Therefore, identifying SV-related loci and genes is crucial for improving cotton yield in Xinjiang. In this study, three seed vigor-related traits, including germination potential, germination rate, and germination index, were investigated across three environments in a panel of 355 diverse accessions based on 2,261,854 high-quality single-nucleotide polymorphisms (SNPs). A total of 26 significant SNPs were detected and divided into six quantitative trait locus regions, including 121 predicted candidate genes. By combining gene expression, gene annotation, and haplotype analysis, two novel candidate genes (Ghir_A09G002730 and Ghir_D03G009280) within qGR-A09-1 and qGI/GP/GR-D03-3 were associated with vigor-related traits, and Ghir_A09G002730 was found to be involved in artificial selection during cotton breeding by population genetic analysis. Thus, understanding the genetic mechanisms underlying seed vigor-related traits in cotton could help increase the efficiency of direct seeding by molecular marker-assisted selection breeding. Frontiers Media S.A. 2023-09-01 /pmc/articles/PMC10503134/ /pubmed/37719213 http://dx.doi.org/10.3389/fpls.2023.1254365 Text en Copyright © 2023 Li, Hu, Wang, Zhao, You, Liu, Wang, Yan, Zhao, Huang, Yu and Feng 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 Li, Libei Hu, Yu Wang, Yongbo Zhao, Shuqi You, Yijin Liu, Ruijie Wang, Jiayi Yan, Mengyuan Zhao, Fengli Huang, Juan Yu, Shuxun Feng, Zhen Identification of novel candidate loci and genes for seed vigor-related traits in upland cotton (Gossypium hirsutum L.) via GWAS |
title | Identification of novel candidate loci and genes for seed vigor-related traits in upland cotton (Gossypium hirsutum L.) via GWAS |
title_full | Identification of novel candidate loci and genes for seed vigor-related traits in upland cotton (Gossypium hirsutum L.) via GWAS |
title_fullStr | Identification of novel candidate loci and genes for seed vigor-related traits in upland cotton (Gossypium hirsutum L.) via GWAS |
title_full_unstemmed | Identification of novel candidate loci and genes for seed vigor-related traits in upland cotton (Gossypium hirsutum L.) via GWAS |
title_short | Identification of novel candidate loci and genes for seed vigor-related traits in upland cotton (Gossypium hirsutum L.) via GWAS |
title_sort | identification of novel candidate loci and genes for seed vigor-related traits in upland cotton (gossypium hirsutum l.) via gwas |
topic | Plant Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10503134/ https://www.ncbi.nlm.nih.gov/pubmed/37719213 http://dx.doi.org/10.3389/fpls.2023.1254365 |
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