Genome-wide association analysis for yield-related traits at the R6 stage in a Chinese soybean mini core collection

Li Xiangnan; Zhou Yang; Bu Yuanpeng; Wang Xinfang; Zhang Yumei; Guo Na; Zhao Jinming; Xing Han

doi:10.1007/s13258-021-01109-9

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자료유형: 학술저널

저자정보: Li Xiangnan (Nanjing Agricultural University) Zhou Yang (Nanjing Agricultural University) Bu Yuanpeng (Nanjing Agricultural University) Wang Xinfang (Nanjing Agricultural University) Zhang Yumei (Nanjing Agricultural University) Guo Na (Nanjing Agricultural University) Zhao Jinming (Nanjing Agricultural University) Xing Han (Nanjing Agricultural University)

저널정보: 한국유전학회 Genes & Genomics Genes & Genomics Vol.43 No.8

발행연도: 2021.8

수록면: 897 - 912 (16page)

DOI: 10.1007/s13258-021-01109-9

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Background Soybean (Glycine max (L.) Merr.) is an economically important crop for vegetable oil and protein production, and yield is a critical trait for grain/vegetable uses of soybean. However, our knowledge of the genes controlling the vegetable soybean yield remains limited. Objective To better understand the genetic basis of the vegetable soybean yield. Methods The 100-pod fresh weight (PFW), 100-seed fresh weight (SFW), kernel percent (KP) and moisture content of fresh seeds (MCFS) at the R6 stage are four yield-related traits for vegetable soybean. We investigated a soybean mini core collection composed of 224 germplasm accessions for four yield-related traits in two consecutive years. Based on 1514 single nucleotide polymorphisms (SNPs), genome-wide association studies (GWAS) were conducted using a mixed linear model (MLM). Results Extensive phenotypic variation existed in the soybean mini core collection and signifcant positive correlations were shown among most of traits. A total of 16 SNP markers for PFW, SFW, KP and MCFS were detected in all environments via GWAS. Nine SNP markers were repeatedly identifed in two environments. Among these markers, eight were located in or near regions where yield-related QTLs have been reported in previous studies, and one was a novel genetic locus identifed in this study. In addition, we conducted candidate gene analysis to the large-efect SNP markers, a total of twelve genes were proposed as potential candidate genes of soybean yield at the R6 stage. Conclusion These results will be benefcial for understanding the genetic basis of soybean yield at the R6 stage and facilitating the pyramiding of favourable alleles for future high-yield breeding by marker-assisted selection in vegetable soybean.

#Chinese soybean mini core collection #Yield-related traits #R6 stage #Genome-wide association studies (GWAS) #Single nucleotide polymorphism (SNP)

참고문헌 (37)

참고문헌 신청

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