生物技术通报 ›› 2024, Vol. 40 ›› Issue (1): 222-230.doi: 10.13560/j.cnki.biotech.bull.1985.2023-0611

• 研究报告 • 上一篇    下一篇

甘蓝型油菜种子硫苷含量全基因组关联分析

周会汶1(), 吴兰花1, 韩德鹏2, 郑伟2, 余跑兰2, 吴杨1(), 肖小军2()   

  1. 1.九江学院 江西油茶研究中心 药学与生命科学学院,九江 332005
    2.江西省红壤及种质资源研究所 国家红壤改良工程技术研究中心 江西省红壤耕地保育重点实验室,南昌 330045
  • 收稿日期:2023-06-28 出版日期:2024-01-26 发布日期:2024-02-06
  • 通讯作者: 肖小军,男,硕士,高级农艺师,研究方向:作物遗传育种及抗逆性分子机理;E-mail: xiao850908@163.com
    吴杨,女,博士,讲师,研究方向:作物抗逆机制;E-mail: yangwu15@126.com
  • 作者简介:周会汶,男,博士,讲师,研究方向:作物遗传育种及抗逆性分子机理;E-mail: zhouhuiwen0320@126.com;吴兰花为本文共同第一作者
  • 基金资助:
    国家自然科学基金项目(32260458);国家自然科学基金项目(32160463);江西省自然科学基金资助项目(20224BAB205021)

Genome-wide Association Study of Seed Glucosinolate Content in Brassica napus

ZHOU Hui-wen1(), WU Lan-hua1, HAN De-peng2, ZHENG Wei2, YU Pao-lan2, WU Yang1(), XIAO Xiao-jun2()   

  1. 1. Institute of Jiangxi Oil-tea Camellia, College of Pharmacy and Life Science, Jiujiang University, Jiujiang 332005
    2. Jiangxi Institute of Red Soil and Germplasm Resources, National Engineering and Technology Research Center for Red Soil Improvement, Jiangxi Key Laboratory of Red Soil Arable Land Conservation, Nanchang 330045
  • Received:2023-06-28 Published:2024-01-26 Online:2024-02-06

摘要:

【目的】挖掘与种子硫苷含量显著关联的SNP位点及候选基因,有助于油菜品质改良和培育高品质油菜品种。【方法】以300份甘蓝型油菜自交系为材料,考察了江西农业大学试验地和江西省红壤及种质资源研究所试验地2种环境下种子硫苷含量,采用前期开发的201 817个SNP(single nucleotide polymorphism,SNP)标记对油菜种子硫苷含量进行全基因组关联分析(genome-wide association study,GWAS),搜寻显著位点两侧100 kb范围内的候选基因并进行功能注释。【结果】300份甘蓝型油菜种子硫苷含量在两地均表现出表型差异;基于一般线性模型和混合线性模型检测到209个硫苷含量显著关联SNP位点,其中两地两种方法重复检测到41个SNP位点,分别在A05(1个)、A09(36个)、C09(4个)3条染色体上。候选基因功能注释结果显示,有8个候选基因参与硫苷生物合成途径(GO:0019761),包含调控硫苷合成相关基因MYB28BnaC09g05290DBnaC09g05300D)、MYB34BnaA09g05480D)和编码硫苷转运蛋白2相关基因(BnaA09g06180DBnaA09g06190D)。【结论】通过两种方法在两地检测到多个与硫苷显著关联的SNP位点,并在显著性位点附近挖掘到相关候选基因,研究结果有助于解析甘蓝型油菜硫苷含量的遗传变异,为低硫苷含量油菜新品种的遗传改良提供基础。

关键词: 甘蓝型油菜, 硫苷, 全基因组关联分析, MYB转录因子, 硫苷转运蛋白2

Abstract:

【Objective】To explore SNPs and candidate genes significantly associated with seed glucosinolate content in rapeseed is helpful to improving rapeseed quality and cultivating high quality rapeseed varieties. 【Method】Total 300 oilseed rapeseed inbred lines grew in the experimental field of Jiangxi Agricultural University(JXAU)and Jiangxi Institute of Red Soil and Germplasm Resources(JXIRS), and the seed glucosinolate content(SGC)was analyzed after harvested. A total of 201 817 SNPs developed by SLAF-seq in all populations were used for genome-wide association with study(GWAS)of SGC. The 100 kb flanking regions on either side of significantly associated SNPs were used to identify candidate genes, and to perform functional annotations of these genes. 【Result】The SGC of these populations showed phenotypic variations under two environments. Based on the general linear model(GLM)the mixed linear model(MLM), 209 SNPs were detected to have significant association with SGC, and 41 SNPs on A05(1), A09(36)and C09(4)were detected by GLM and MLM under JXAU and JXIRS. The functional annotation of candidate genes showed that eight candidate genes participated in the glucosinolate biosynthetic process(GO:0019761), including regulating the glucosinolate synthesis related genes MYB28BnaC09g05290D and BnaC09g05300D), MYB34BnaA09g05480D), and the glucosinolate transporter 2 related genes(BnaA09g06180D and BnaA09g06190D). 【Conclusion】The SNPs significantly associated with SGC were detected under two environments by GLM and MLM, and the candidate genes were mined at the flanking of SNPs, which is conducive to resolving the genetic variation of SGC and providing a basis for the genetic improvement of new rapeseed varieties with low SGC.

Key words: Brassica napus, glucosinolate, GWAS, MYB transcription factor, glucosinolate transporter 2