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Linkage and association study discovered loci and candidate genes for glycinin and β-conglycinin in soybean (Glycine max L. Merr.)

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Linkage mapping and GWAS identified 67 QTLs related to soybean glycinin, β-conglycinin and relevant traits. Polymorphisms of the candidate gene Gy1 promoter were associated with the glycinin content in soybean.

Abstract

The major components of storage proteins in soybean seeds are glycinin and β-conglycinin, which play important roles in determining protein nutrition and soy food processing properties. Increasing the protein content while improving the ratio of glycinin to β-conglycinin is substantially important for soybean protein improvement. To investigate the genetic mechanism of storage protein subunits, 184 recombinant inbred lines (RILs) derived from a cross of Kefeng No. 1 and Nannong 1138-2 and 211 diverse soybean cultivars were used to detect loci related to glycinin (11S), β-conglycinin (7S), the sum of glycinin and β-conglycinin (SGC), and the ratio of glycinin to β-conglycinin (RGC). Sixty-seven QTLs and 11 hot genomic regions were identified as affecting the four traits. One genetic region (q10-1) on chromosome 10 was associated with multiple traits by both linkage and association analysis. Eight genes in 11 hot genomic regions might be related to soybean protein subunit. The candidate gene analysis showed that polymorphisms in Gy1 promoters were significantly correlated with the 11S content. The QTLs and candidate genes identified in the present study allow for further understanding the genetic basis of 11S and 7S regulation and provide useful information for marker-assisted selection (MAS) in soybean quality improvement.

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Acknowledgements

This study was supported in part by the Ministry of Science and Technology (2017YFE0111000 and 2016YFD0100504), the Natural Science Foundation of Jiangsu Province (BK20191313), the Fundamental Research Funds for the Central Universities (KYZ201705), the National Natural Science Foundation of China (31571688, 31871649, and 31671715), the Ministry of Agriculture (2016ZX08004-003 and 2016ZX08009003-004), and EUCLEG Horizon 2020 of European Union (No.727312). Part of the analysis was performed at the high-performance computing platform of Bioinformatics Center of Nanjing Agricultural University.

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  1. National Center for Soybean Improvement, National Key Laboratory of Crop Genetics and Germplasm Enhancement, Jiangsu Collaborative Innovation Center for Modern Crop Production, Nanjing Agricultural University, Nanjing, 210095, China

    Shanshan Zhang, Hongyang Du, Yujie Ma, Haiyang Li, Guizhen Kan & Deyue Yu

  2. School of Life Sciences, Guangzhou University, Guangzhou, 510006, China

    Haiyang Li & Deyue Yu

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  1. Shanshan Zhang
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GK, DY, and SZ designed the research, and SZ and DH performed the research. SZ, YM, and HL analyzed the data, and SZ wrote the manuscript. All authors read and approved the final manuscript.

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Zhang, S., Du, H., Ma, Y. et al. Linkage and association study discovered loci and candidate genes for glycinin and β-conglycinin in soybean (Glycine max L. Merr.). Theor Appl Genet 134, 1201–1215 (2021). https://doi.org/10.1007/s00122-021-03766-6

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