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Identification of Loci Governing Agronomic Traits and Mutation Hotspots via a GBS-Based Genome-Wide Association Study in a Soybean Mutant Diversity Pool

In this study, we performed a genotyping-by-sequencing analysis and a genome-wide association study of a soybean mutant diversity pool previously constructed by gamma irradiation. A GWAS was conducted to detect significant associations between 37,249 SNPs, 11 agronomic traits, and 6 phytochemical tr...

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Autores principales: Kim, Dong-Gun, Lyu, Jae Il, Kim, Jung Min, Seo, Ji Su, Choi, Hong-Il, Jo, Yeong Deuk, Kim, Sang Hoon, Eom, Seok Hyun, Ahn, Joon-Woo, Bae, Chang-Hyu, Kwon, Soon-Jae
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9499481/
https://www.ncbi.nlm.nih.gov/pubmed/36142354
http://dx.doi.org/10.3390/ijms231810441
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author Kim, Dong-Gun
Lyu, Jae Il
Kim, Jung Min
Seo, Ji Su
Choi, Hong-Il
Jo, Yeong Deuk
Kim, Sang Hoon
Eom, Seok Hyun
Ahn, Joon-Woo
Bae, Chang-Hyu
Kwon, Soon-Jae
author_facet Kim, Dong-Gun
Lyu, Jae Il
Kim, Jung Min
Seo, Ji Su
Choi, Hong-Il
Jo, Yeong Deuk
Kim, Sang Hoon
Eom, Seok Hyun
Ahn, Joon-Woo
Bae, Chang-Hyu
Kwon, Soon-Jae
author_sort Kim, Dong-Gun
collection PubMed
description In this study, we performed a genotyping-by-sequencing analysis and a genome-wide association study of a soybean mutant diversity pool previously constructed by gamma irradiation. A GWAS was conducted to detect significant associations between 37,249 SNPs, 11 agronomic traits, and 6 phytochemical traits. In the merged data set, 66 SNPs on 13 chromosomes were highly associated (FDR p < 0.05) with the following 4 agronomic traits: days of flowering (33 SNPs), flower color (16 SNPs), node number (6 SNPs), and seed coat color (11 SNPs). These results are consistent with the findings of earlier studies on other genetic features (e.g., natural accessions and recombinant inbred lines). Therefore, our observations suggest that the genomic changes in the mutants generated by gamma irradiation occurred at the same loci as the mutations in the natural soybean population. These findings are indicative of the existence of mutation hotspots, or the acceleration of genome evolution in response to high doses of radiation. Moreover, this study demonstrated that the integration of GBS and GWAS to investigate a mutant population derived from gamma irradiation is suitable for dissecting the molecular basis of complex traits in soybeans.
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spelling pubmed-94994812022-09-23 Identification of Loci Governing Agronomic Traits and Mutation Hotspots via a GBS-Based Genome-Wide Association Study in a Soybean Mutant Diversity Pool Kim, Dong-Gun Lyu, Jae Il Kim, Jung Min Seo, Ji Su Choi, Hong-Il Jo, Yeong Deuk Kim, Sang Hoon Eom, Seok Hyun Ahn, Joon-Woo Bae, Chang-Hyu Kwon, Soon-Jae Int J Mol Sci Article In this study, we performed a genotyping-by-sequencing analysis and a genome-wide association study of a soybean mutant diversity pool previously constructed by gamma irradiation. A GWAS was conducted to detect significant associations between 37,249 SNPs, 11 agronomic traits, and 6 phytochemical traits. In the merged data set, 66 SNPs on 13 chromosomes were highly associated (FDR p < 0.05) with the following 4 agronomic traits: days of flowering (33 SNPs), flower color (16 SNPs), node number (6 SNPs), and seed coat color (11 SNPs). These results are consistent with the findings of earlier studies on other genetic features (e.g., natural accessions and recombinant inbred lines). Therefore, our observations suggest that the genomic changes in the mutants generated by gamma irradiation occurred at the same loci as the mutations in the natural soybean population. These findings are indicative of the existence of mutation hotspots, or the acceleration of genome evolution in response to high doses of radiation. Moreover, this study demonstrated that the integration of GBS and GWAS to investigate a mutant population derived from gamma irradiation is suitable for dissecting the molecular basis of complex traits in soybeans. MDPI 2022-09-09 /pmc/articles/PMC9499481/ /pubmed/36142354 http://dx.doi.org/10.3390/ijms231810441 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Kim, Dong-Gun
Lyu, Jae Il
Kim, Jung Min
Seo, Ji Su
Choi, Hong-Il
Jo, Yeong Deuk
Kim, Sang Hoon
Eom, Seok Hyun
Ahn, Joon-Woo
Bae, Chang-Hyu
Kwon, Soon-Jae
Identification of Loci Governing Agronomic Traits and Mutation Hotspots via a GBS-Based Genome-Wide Association Study in a Soybean Mutant Diversity Pool
title Identification of Loci Governing Agronomic Traits and Mutation Hotspots via a GBS-Based Genome-Wide Association Study in a Soybean Mutant Diversity Pool
title_full Identification of Loci Governing Agronomic Traits and Mutation Hotspots via a GBS-Based Genome-Wide Association Study in a Soybean Mutant Diversity Pool
title_fullStr Identification of Loci Governing Agronomic Traits and Mutation Hotspots via a GBS-Based Genome-Wide Association Study in a Soybean Mutant Diversity Pool
title_full_unstemmed Identification of Loci Governing Agronomic Traits and Mutation Hotspots via a GBS-Based Genome-Wide Association Study in a Soybean Mutant Diversity Pool
title_short Identification of Loci Governing Agronomic Traits and Mutation Hotspots via a GBS-Based Genome-Wide Association Study in a Soybean Mutant Diversity Pool
title_sort identification of loci governing agronomic traits and mutation hotspots via a gbs-based genome-wide association study in a soybean mutant diversity pool
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9499481/
https://www.ncbi.nlm.nih.gov/pubmed/36142354
http://dx.doi.org/10.3390/ijms231810441
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