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Genome-wide association mapping and candidate gene analysis for water-soluble protein concentration in soybean (Glycine max) based on high-throughput single nucleotide polymorphism markers

文献类型： 外文期刊

作者： Sui, Meinan 1 ; Wang, Yue 1 ; Cui, Zhihui 1 ; Teng, Weili 1 ; Yuan, Ming 2 ; Li, Wenbin 1 ; Wang, Xi 1 ; Li, Ruiqiong 1 ; Lv 1 ;

作者机构： 1.Northeast Agr Univ, Northeastern Key Lab Soybean Biol & Genet & Breed, Key Lab Soybean Biol Chinese Minist Educ, Harbin 150030, Heilongjiang, Peoples R China

2.Heilongjiang Acad Agr Sci, Qiqihar Sub Acad, Qiqihar 161006, Heilongjiang, Peoples R China

关键词： genome-wide association analysis; haplotype analysis; molecular assisted selection; quantitative trait nucleotides; soybean germplasm

期刊名称：CROP & PASTURE SCIENCE （ 影响因子：2.286； 五年影响因子：2.507 ）

ISSN： 1836-0947

年卷期： 2020 年 71 卷 3 期

页码：

收录情况： SCI

摘要： Water-soluble protein concentration (WSPC) of soybean (Glycine max (L.) Merrill) is an important factor affecting the quality of soybean-derived food and the aesthetic appearance of soybean products. In the present study, a representative soybean population of 178 elite accessions was used to determine quantitative trait nucleotides of WSPC via a genome-wide association study (GWAS). In total, 33 149 single-nucleotide polymorphisms (SNPs) with minor allele frequencies >= 5% and missing data <= 10% were applied in assessing the level of linkage disequilibrium. Finally, three association signals were identified related with WSPC through GWAS, including one novel locus and two known loci that overlapped the genomic region of reported quantitative trait loci. Thirty candidate genes located in the 200-kb genomic region of each peak SNP were detected and mainly grouped into the classes of protein synthesis/modification/degradation, RNA regulation of transcription, amino acid synthesis/metabolism, transport, hormone metabolism, signalling, development, lipid metabolism, and secondary metabolism. Through a gene-based association, 21 SNPs from eight genes were detected. Among them, four genes have been recognised as significant factors in mediating WSPC. The loci identified with beneficial alleles and candidate genes may be of great value for further functional analysis and marker-assisted selection of WSPC in soybean.

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