Genome wide association study to detect genetic regions related to isoflavone content in a mutant soybean population derived from radiation breeding

Jung Min Kim; Jae Il Lyu; Dong-Gun Kim; Nguyen Ngoc Hung; Ji Su Seo; Joon-Woo Ahn; You Jin Lim; Seok Hyun Eom; Bo-Keun Ha; Soon-Jae Kwon

doi:10.3389/fpls.2022.968466

Genome wide association study to detect genetic regions related to isoflavone content in a mutant soybean population derived from radiation breeding

Front Plant Sci. 2022 Aug 18:13:968466. doi: 10.3389/fpls.2022.968466. eCollection 2022.

Authors

Jung Min Kim^{1

2}, Jae Il Lyu³, Dong-Gun Kim¹, Nguyen Ngoc Hung^{1

2}, Ji Su Seo^{1

2}, Joon-Woo Ahn¹, You Jin Lim⁴, Seok Hyun Eom⁴, Bo-Keun Ha², Soon-Jae Kwon¹

Affiliations

¹ Advanced Radiation Technology Institute, Korea Atomic Energy Research Institute, Jeongeup, South Korea.
² Division of Plant Biotechnology, Chonnam National University, Gwangju, South Korea.
³ Department of Horticulture, College of Industrial Sciences, Kongju National University, Yesan, South Korea.
⁴ Department of Horticultural Biotechnology, Institute of Life Sciences & Resources, Kyung Hee University, Yongin, South Korea.

Abstract

Isoflavones are major secondary metabolites that are exclusively produced by legumes, including soybean. Soy isoflavones play important roles in human health as well as in the plant defense system. The isoflavone content is influenced by minor-effect quantitative trait loci, which interact with polygenetic and environmental factors. It has been difficult to clarify the regulation of isoflavone biosynthesis because of its complex heritability and the influence of external factors. Here, using a genotype-by-sequencing-based genome-wide association mapping study, 189 mutant soybean genotypes (the mutant diversity pool, MDP) were genotyped on the basis of 25,646 high-quality single nucleotide polymorphisms (SNPs) with minor allele frequency of >0.01 except for missing data. All the accessions were phenotyped by determining the contents of 12 isoflavones in the soybean seeds in two consecutive years (2020 and 2021). Then, quantitative trait nucleotides (QTNs) related to isoflavone contents were identified and validated using multi-locus GWAS models. A total of 112 and 46 QTNs related to isoflavone contents were detected by multiple MLM-based models in 2020 and 2021, respectively. Of these, 12 and 5 QTNs were related to more than two types of isoflavones in 2020 and 2021, respectively. Forty-four QTNs were detected within the 441-Kb physical interval surrounding Gm05:38940662. Of them, four QTNs (Gm05:38936166, Gm05:38936167, Gm05:38940662, and Gm05:38940717) were located at Glyma.05g206900 and Glyma.05g207000, which encode glutathione S-transferase THETA 1 (GmGSTT1), as determined from previous quantitative trait loci annotations and the literature. We detected substantial differences in the transcript levels of GmGSTT1 and two other core genes (IFS1 and IFS2) in the isoflavone biosynthetic pathway between the original cultivar and its mutant. The results of this study provide new information about the factors affecting isoflavone contents in soybean seeds and will be useful for breeding soybean lines with high and stable concentrations of isoflavones.

Keywords: GBS; GWAS; Isoflavone; MDP; QTLs; SNPs.