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中国油料作物学报 ›› 2023, Vol. 45 ›› Issue (1): 111-123.doi: 10.19802/j.issn.1007-9084.2022027

• 种质资源·遗传育种 • 上一篇    下一篇

多环境下大豆子粒大小性状的全基因组关联分析

董莹莹(), 刘冀, 张翔超, 林峰, 史飞飞, 王博, 付雪, 赵雪, 韩英鹏, 李文滨, 滕卫丽()   

  1. 东北农业大学大豆研究所,大豆生物学教育部重点实验室,农业农村部东北大豆生物学与遗传育种重点实验室,黑龙江 哈尔滨,150030
  • 收稿日期:2022-02-07 出版日期:2023-02-25 发布日期:2023-03-03
  • 通讯作者: 滕卫丽 E-mail:3169527470@qq.com;twlneau@163.com
  • 作者简介:董莹莹(1995- ),女,硕士,主要从事大豆遗传育种研究,E-mail: 3169527470@qq.com
  • 基金资助:
    黑龙江省“百千万”工程科技重大专项(2019ZX16B01-1);国家自然科学基金(31471517);现代农业产业技术体系建设专项资金(CARS-04-PS04)

Genome-wide association analysis of seed size traits in soybean under multiple environments

Ying-ying DONG(), Ji LIU, Xiang-chao ZHANG, Feng LIN, Fei-fei SHI, Bo WANG, Xue FU, Xue ZHAO, Ying-peng HAN, Wen-bin LI, Wei-li TENG()   

  1. Institute of Soybean Research, Key Laboratory of Soybean Biology of the Ministry of Education, Key Laboratory of Soybean Biology and Breeding (Genetics) of the Ministry of Agriculture and Rural Affairs, Northeast Agricultural University, Harbin 150030, China
  • Received:2022-02-07 Online:2023-02-25 Published:2023-03-03
  • Contact: Wei-li TENG E-mail:3169527470@qq.com;twlneau@163.com

摘要:

为探究多环境下大豆子粒大小性状的分子遗传基础,挖掘与子粒大小性状相关的SNP位点和候选基因,利用150份大豆种质资源在2019年和2020年6个环境条件下对大豆子粒粒长、粒宽、粒厚和百粒重性状进行表型测定,并进行全基因组关联分析。结果表明:在CMLM(压缩混合线性)模型下,在6个环境条件下检测到896个与子粒大小性状显著关联的SNP位点,分布于20条染色体。不同性状检测到72个重叠的SNP位点。检测到39个稳定遗传的SNP位点,贡献率为10.68%~24.93%。通过稳定性与重叠性分析,获得35个稳定表达的SNP位点,贡献率为10.92%~23.16%。在粒宽、粒厚及百粒重性状中同时检测到显著关联的SNP位点最多,位点rs16533609的贡献率最高(16.51%)。根据稳定表达的SNP筛选候选基因,推测Glyma.03G006600、Glyma.04G077100、Glyma.08G203600、Glyma.12G195400、Glyma.17G039800、Glyma.18G202100Glyma.20G215700等7个基因对大豆子粒大小性状有调控作用。

关键词: 大豆, 候选基因, 全基因组关联分析(GWAS), 子粒大小性状

Abstract:

To investigate the molecular genetic basis of seed size in soybean under multiple environments and to explore SNP loci and candidate genes associated with seed size traits, germplasm of 150 soybean resources was used for phenotypic determination of seed length, seed width, seed thickness and 100-seed weight traits under 6 environments in 2019 and 2020, and genome-wide association analysis was also conducted. Results showed that 896 SNP loci, distributed on 20 chromosomes, were detected significantly associated with seed size traits under 6 environments using CMLM (compressed linear mixed model) method. Seventy-two SNP loci were detected 3 or more times for different traits. SNP loci were detected in two or more years for the same trait, with a contribution rate of 10.68%-24.93%. Thirty-five stably expressed SNP loci were acquired with a contribution rate of 10.92%-23.16% by the analysis of stability and overlap. The most significantly associated SNP loci were detected simultaneously in seed width, seed thickness and 100-seed weight traits, with the highest contribution of 16.51% for rs16533609. Based on the screening of candidate genes by stably expressed SNP, it was hypothesized that the seven genes Glyma.03G006600, Glyma.04G077100, Glyma.08G203600, Glyma.12G195400, Glyma.17G039800, Glyma.18G202100 and Glyma.20G215700 have regulators effect on soybean seed size traits.

Key words: soybean, candidate genes, genome wide association analysis (GWAS), seed size trait

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