Rapid Identification of Soybean SC15 Resistance Locus to Soybean Mosaic Virus by BSA-seq

文献类型: 外文期刊

第一作者: Tang, Xiangmin

作者: Tang, Xiangmin;Chen, Huaizhu;Cai, Zhaoyan;Lai, Zhenguang;Wei, Qingyuan;Tan, Yurong;Chen, Dongliang;Zeng, Weiying;Yang, Shouzhen;Jin, Gang;Li, Kai;Zhi, Haijian

作者机构:

关键词: Soybean mosaic virus (SMV); Strain SC15; Bulked segregant analysis sequencing (BSA-seq); Euclidean distance (ED); SNP index

期刊名称:PLANT MOLECULAR BIOLOGY REPORTER ( 影响因子:1.4; 五年影响因子:1.8 )

ISSN: 0735-9640

年卷期: 2025 年 43 卷 2 期

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收录情况: SCI

摘要: The soybean mosaic virus (SMV) is one of the most destructive pathogens affecting soybeans, leading to significant yield losses and a decline in seed quality. Among the 22 strains occurring throughout China, SC15 is a dominant and highly virulent strain found in southern China. In this study, the F1 and F2 generations of the Long-lin-she-chang-ben-di-dou (resistant, R) x NN1138-2 (susceptible, S) cross were used to investigate the inheritance of SC15 resistance. The F1 plants exhibited complete resistance, whereas 518 F2 plants segregated in a 3:1 ratio of resistant to susceptible individuals, indicating the presence of a single dominant gene responsible for R01 resistance. Single nucleotide polymorphisms (SNPs) and small insert-deletions (InDels) in resistant and susceptible plants from the F2 population were identified using bulked segregant analysis sequencing (BSA-seq). Illumina high-throughput sequencing yielded 217.27 Gbp of clean bases with a Q30 percentage exceeding 91.60%. Approximately 1,291,384 high-quality SNP markers and 268,122 small InDel markers were obtained. Based on the Euclidean distance (ED) and SNP index association algorithm, two loci related to SC15 resistance were detected on chromosomes 9 and 10 at 47,290,000-50,180,000 bp (2.89 Mb) and 44,900,000-45,380,000 bp (0.48 Mb) as novel resistance regions, which include 391 annotated genes. These results not only lay a foundation for research on resistance to the virulent SMV strain SC15 but also introduce an efficient genetic mapping approach.

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