ArticleInternational journal of molecular sciences2022
Identification of Loci Governing Agronomic Traits and Mutation Hotspots via a GBS-Based Genome-Wide Association Study in a Soybean Mutant Diversity Pool.
Article in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 14 citations in OpenAlex.
- Image-based GWAS identifies the genetic architecture of seed-related traits in a soybean mutant population.Molecular breeding : new strategies in plant improvement · 2025Article
- Identification of SNPs associated with fatty acid contents in mutant soybean lines by a genome-wide association study.Genes & genomics · 2025Article
- Local haplotyping reveals insights into the genetic control of flowering time variation in wild and domesticated soybean.The plant genome · 2024Article
- Genotyping-by-Sequencing Analysis Reveals Associations between Agronomic and Oil Traits in Gamma Ray-Derived Mutant Rapeseed (Plants (Basel, Switzerland) · 2024Article
- Differentially Expressed Genes Related to Isoflavone Biosynthesis in a Soybean Mutant Revealed by a Comparative Transcriptomic Analysis.Plants (Basel, Switzerland) · 2024Article
- Genome-wide association studies for phenological and agronomic traits in mungbean (Frontiers in plant science · 2023Article
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Authors and funding
11 authors at 4 institutions in 1 country.
Funding
Abstract
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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