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Genome-wide association study of partial resistance to sclerotinia stem rot of cultivated soybean based on the detached leaf method

文献类型： 外文期刊

作者： Sun, Mingming 1 ; Jing, Yan 1 ; Zhao, Xue 1 ; Teng, Weili 1 ; Qiu, Lijuan 3 ; Zheng, Hongkun 4 ; Li, Wenbin 1 ; Han, Ying 1 ;

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

2.Heilongjiang Acad Agr Sci, Heilongjiang Journal Press Agr Sci & Technol, Harbin, Peoples R China

3.Chinese Acad Agr Sci, Natl Key Facil Crop Gene Resources & Genet Improv, Inst Crop Sci, Beijing, Peoples R China

4.Biomarker Technol Corp, Bioinformat Div, Beijing, Peoples R China

期刊名称：PLOS ONE （ 影响因子：3.24； 五年影响因子：3.788 ）

ISSN： 1932-6203

年卷期： 2020 年 15 卷 5 期

页码：

收录情况： SCI

摘要： Sclerotinia stem rot (SSR) is a devastating fungal disease that causes severe yield losses of soybean worldwide. In the present study, a representative population of 185 soybean accessions was selected and utilized to identify the quantitative trait nucleotide (QTN) of partial resistance to soybean SSR via a genome-wide association study (GWAS). A total of 22,048 single-nucleotide polymorphisms (SNPs) with minor allele frequencies (MAF) > 5% and missing data < 3% were used to assess linkage disequilibrium (LD) levels. Association signals associated with SSR partial resistance were identified by two models, including compressed mixed linear model (CMLM) and multi-locus random-SNP-effect mixed linear model (mrMLM). Finally, seven QTNs with major effects (a known locus and six novel loci) via CMLM and nine novel QTNs with minor effects via mrMLM were detected in relation to partial resistance to SSR, respectively. One of all the novel loci (Gm05:14834789 on Chr.05), which was co-located by these two methods, might be a stable one that showed high significance in SSR partial resistance. Additionally, a total of 71 major and 85 minor candidate genes located in the 200-kb genomic region of each peak SNP detected by CMLM and mrMLM were found, respectively. By using a gene-based association, a total of six SNPs from three major effects genes and eight SNPs from four minor effects genes were identified. Of them, Glyma.18G012200 has been characterized as a significant element in controlling fungal disease in plants.

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