中国农业科学 ›› 2023, Vol. 56 ›› Issue (20): 3946-3959.doi: 10.3864/j.issn.0578-1752.2023.20.003

• 作物遗传育种·种质资源·分子遗传学 • 上一篇    下一篇

芥菜型油菜苗期氮效率相关性状全基因组关联分析

曾健1(), 王茹梦1(), 龚盼1, 杨潇1, 尹晓奇1, 李江鹤1, 陈世龙1, 姚蕾1, 宋海星1, 康雷2(), 张振华1()   

  1. 1 湖南农业大学资源学院,长沙 410128
    2 湖南农业大学农学院,长沙 410128
  • 收稿日期:2023-04-10 接受日期:2023-06-09 出版日期:2023-10-16 发布日期:2023-10-31
  • 通信作者:
    康雷,E-mail:
    张振华,E-mail:
  • 联系方式: 曾健,E-mail:1214223485@qq.com。王茹梦,E-mail:15526461183@163.com。曾健和王茹梦为同等贡献作者。
  • 基金资助:
    国家自然科学基金联合基金重点项目(U21A20236); 国家自然科学基金面上项目(32072664); 湖南省科技创新领军人才项目(2022RC3053); 湖南省自然科学基金杰出青年基金(2021JJ0004)

Genome-Wide Association Study of Nitrogen Efficiency Related Traits at Seedling Stage in Brassica juncea

ZENG Jian1(), WANG RuMeng1(), GONG Pan1, YANG Xiao1, YIN XiaoQi1, LI JiangHe1, CHEN ShiLong1, YAO Lei1, SONG HaiXing1, KANG Lei2(), ZHANG ZhenHua1()   

  1. 1 College of Resources, Hunan Agricultural University, Changsha 410128
    2 College of Agronomy, Hunan Agricultural University, Changsha 410128
  • Received:2023-04-10 Accepted:2023-06-09 Published:2023-10-16 Online:2023-10-31

摘要:

【目的】通过对芥菜型油菜苗期氮效率相关性状进行全基因组关联分析,挖掘与油菜氮效率相关性状显著关联的SNP位点,预测相关候选基因,为揭示油菜氮高效分子机制和创制氮高效种质提供理论依据。【方法】以153份芥菜型油菜品系作为关联群体,设置低氮和正常氮2个处理,每个处理设置3个重复,并在2年(2021和2022年)进行2次完全重复的营养液培养试验。计算植株根冠比和地上部氮含量的相对值(低氮/正常氮),以此作为氮效率相关性状进行全基因组关联分析(genome-wide association study,GWAS),挖掘氮效率相关候选基因。【结果】芥菜型油菜氮效率相关性状表现出丰富的变异,变异幅度为0.21—2.44,变异系数为22.92%—26.19%。全基因组关联分析检测到45个显著关联的SNP位点,其中,第一次根冠比相对值(relative root-shoot ratio 1,RRSR1)和第二次根冠比相对值(relative root-shoot ratio 2,RRSR2)共同关联到的显著SNP位点有16个,这些位点可解释的表型变异率为10.69%—15.39%。第一次地上部相对氮含量(relative shoot nitrogen concentration 1,RSNC1)和第二次地上部相对氮含量(relative shoot nitrogen concentration 2,RSNC2)共同关联到的显著SNP位点共有29个,可解释的表型变异率为13.22%—23.96%。在显著SNP位点上下游200 kb范围内共筛选出15个与氮效率相关候选基因,包括5个与硝酸盐转运相关的基因(BjuNPF5.8BjuNRT2.7BjuNPF2.3BjuCLCbBjuNRT1.3)、3个与氮代谢相关的基因(BjuASN3BjuGLU2BjuADCS)、4个与生长发育相关的基因(BjuCOBL8BjuPYL6BjuSAUR72BjuUP3)和3个与逆境响应相关的基因(BjuNTP7BjuJUB1BjuPYL6)。【结论】共检测到45个与氮效率相关性状显著关联的SNP位点,筛选出15个可能与芥菜型油菜氮效率相关的候选基因。

关键词: 芥菜型油菜, 氮效率相关性状, 全基因组关联分析, 候选基因

Abstract:

【Objective】The genome-wide association analysis was performed to identify SNP loci significantly associated with nitrogen use efficiency (NUE) traits in Brassica juncea at seedling stage and to predict the relevant candidate genes, providing a theoretical basis for revealing the molecular mechanism of nitrogen use efficiency in rapeseed and creating nitrogen-efficient germplasm. 【Method】The population of 153 Brassica juncea resources was used as the analysis population. Two treatments, low N and normal N, were established using three replicates for each treatment, and two replicated nutrient culture trials were conducted over a two-year period (2021 and 2022). The relative values of root-shoot ratio and shoot nitrogen concentration (low/normal N) were calculated and utilized as NUE traits for a genome-wide association study (GWAS) aimed at exploring candidate genes for NUE. 【Result】NUE traits of Brassica juncea resources exhibited abundant variation, ranging from 0.21-2.44 with coefficients of variation of 22.92%-26.19%. The GWAS identified 45 significant SNP loci, among which 16 overlapped between the first relative root-shoot ratio (RRSR1) and the second relative root-shoot ratio (RRSR2), accounting for a phenotype variance range of 10.69%-15.39%. Additionally, 29 significant SNP loci were shared between the first relative shoot nitrogen concentration (RSNC1) and the second relative shoot nitrogen concentration (RSNC2), explaining a phenotype variance range of 13.22%-23.96%. 15 candidate genes for NUE were identified within 200 kb upstream and downstream regions of significant SNP loci, including 5 genes related to nitrate transport (BjuNPF5.8, BjuNRT2.7, BjuNPF2.3, BjuCLCb and BjuNRT1.3), 3 genes associated with nitrogen metabolism (BjuASN3, BjuGLU2 and BjuADCS), 4 genes involved in plant growth and development (BjuCOBL8, BjuPYL6, BjuSAUR72 and BjuUP3) and 3 genes participated in stress response (BjuNTP7, BjuJUB1 and BjuPYL6). 【Conclusion】45 SNP loci were detected significantly associated with NUE traits and 15 candidate genes for NUE were identified in this study.

Key words: Brassica juncea, nitrogen use efficiency traits, GWAS, candidate genes