ACTA AGRICULTURAE BOREALI-SINICA ›› 2021, Vol. 36 ›› Issue (S1): 23-30. doi: 10.7668/hbnxb.20192274

Special Issue: Oil crops Biotechnology

• Crop Genetics & Breeding·Germplasm Resources·Biotechnology • Previous Articles     Next Articles

Detecting QTL Underlying Wild Soybean Protein Content Through Genome Wide Association Study

GAO Qian1,2, FENG Yan1, YANG Yahua3, ZHAO Qingsong1, LEI Yakun4, LIU Bingqiang1, ZHANG Mengchen1, SHI Xiaolei1, YANG Chunyan1   

  1. 1. Institute of Cereal and Oil Crops, Hebei Academy of Agricultural and Forestry Sciences, Shijiazhuang Branch Center of National Center for Soybean Improvement, Huang-Huai-Hai Key Laboratory of Biology and Genetic Improvement of Soybean, Ministry of Agriculture and Rural Affairs, The Key Laboratory of Crop Genetics and Breeding, Shijiazhuang 050035, China;
    2. Hebei Academy of Agricultural and Forestry Sciences, Shijiazhuang 050035, China;
    3. Institute of Coastal Agriculture, Hebei Academy of Agricultural and Forestry Sciences, Tanghai 063202, China;
    4. Institute of Agricultural Information and Economy, Hebei Academy of Agriculture and Forestry Sciences, Shijiazhuang 050051, China
  • Received:2021-09-22 Published:2021-12-28

Abstract: Wild soybean was useful gene pool for soybean protein content improvement.In order to detect the QTL underlying wild soybean protein content through genome wide association study, 508 wild soybean accessions, collected from China, Korea and Japan and covered mature group Ⅳ, Ⅴ, Ⅵ, Ⅶ and Ⅷ, were evaluated for protein content using Kjeldahl method in two years, as well genotyped using Illumina Infinium SoySNP50K BeadChip consisting of 52 041 SNPs in the present study.The phenotypic data was download at Germplasm Resources Information Network and the genotypic data was download at Soybase.As results, the protein content of the wild soybean accessions showed normal distribution, ranging from 38.1% to 56.9%, with the average 48.1%(SD=2.71%).Based on the STRUCTURE analysis, the 508 wild soybean accessions could be divided into three groups.There were 271, 111, 126 accessions were deposited in 3 groups, respectively.Totally, 74 SNPs associated with protein scattered on 19 chromosomes were identified via MLM method.The 74 SNPs belonged to 60 haplotype blocks.The average LOD of the 74 SNPs was 3.47, and BARC_1.01_Gm_01_54656209_A_G yield the highest LOD 5.18.Two genomic regions were considered as the reliable genomic region since they yield more significant SNP in one haplotype block.The first region(named as HAP_11_1)was from 15 128 832 bp to 15 253 199 bp on chromosome 11.BARC_1.01_Gm_11_15167305_G_A was the SNP that yielded highest LOD(3.80)at HAP_11_1, and it explained 2.88% of the phenotypic variation.The second one(named as HAP_12_1)was from 26 842 687 bp to 27 818 244 bp on chromosome 12.The LOD of BARC_1.01_Gm_12_27563620_C_T was 4.12, the highest one at HAP_12_1, and this SNP explained 3.23% of the phenotypic variation.The SNPs discovered in this study were helpful to introduce high protein content related gene from wild soybean to cultivated soybean via MAS.

Key words: Wild soybean, Protein content, GWAS, SNP, Haplotype

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Cite this article

GAO Qian, FENG Yan, YANG Yahua, ZHAO Qingsong, LEI Yakun, LIU Bingqiang, ZHANG Mengchen, SHI Xiaolei, YANG Chunyan. Detecting QTL Underlying Wild Soybean Protein Content Through Genome Wide Association Study[J]. ACTA AGRICULTURAE BOREALI-SINICA, 2021, 36(S1): 23-30. doi: 10.7668/hbnxb.20192274.

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