Cargando…
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...
Autores principales: | , , , , , , , , , , |
---|---|
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 |
_version_ | 1784795001720406016 |
---|---|
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. |
format | Online Article Text |
id | pubmed-9499481 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT kimdonggun identificationoflocigoverningagronomictraitsandmutationhotspotsviaagbsbasedgenomewideassociationstudyinasoybeanmutantdiversitypool AT lyujaeil identificationoflocigoverningagronomictraitsandmutationhotspotsviaagbsbasedgenomewideassociationstudyinasoybeanmutantdiversitypool AT kimjungmin identificationoflocigoverningagronomictraitsandmutationhotspotsviaagbsbasedgenomewideassociationstudyinasoybeanmutantdiversitypool AT seojisu identificationoflocigoverningagronomictraitsandmutationhotspotsviaagbsbasedgenomewideassociationstudyinasoybeanmutantdiversitypool AT choihongil identificationoflocigoverningagronomictraitsandmutationhotspotsviaagbsbasedgenomewideassociationstudyinasoybeanmutantdiversitypool AT joyeongdeuk identificationoflocigoverningagronomictraitsandmutationhotspotsviaagbsbasedgenomewideassociationstudyinasoybeanmutantdiversitypool AT kimsanghoon identificationoflocigoverningagronomictraitsandmutationhotspotsviaagbsbasedgenomewideassociationstudyinasoybeanmutantdiversitypool AT eomseokhyun identificationoflocigoverningagronomictraitsandmutationhotspotsviaagbsbasedgenomewideassociationstudyinasoybeanmutantdiversitypool AT ahnjoonwoo identificationoflocigoverningagronomictraitsandmutationhotspotsviaagbsbasedgenomewideassociationstudyinasoybeanmutantdiversitypool AT baechanghyu identificationoflocigoverningagronomictraitsandmutationhotspotsviaagbsbasedgenomewideassociationstudyinasoybeanmutantdiversitypool AT kwonsoonjae identificationoflocigoverningagronomictraitsandmutationhotspotsviaagbsbasedgenomewideassociationstudyinasoybeanmutantdiversitypool |