中国农业科学 ›› 2025, Vol. 58 ›› Issue (3): 431-442.doi: 10.3864/j.issn.0578-1752.2025.03.003

• 作物遗传育种·种质资源·分子遗传学 • 上一篇    下一篇

玉米苞叶性状全基因组关联分析

周广飞1(), 马亮1, 马璐1, 张舒钰1, 章慧敏1, 宋旭东1, 张振良1, 陆虎华1, 郝德荣1, 冒宇翔1, 薛林1,2, 陈国清1,2()   

  1. 1 江苏沿江地区农业科学研究所,江苏南通 226012
    2 江苏省现代作物生产协同创新中心,南京 210095
  • 收稿日期:2024-07-05 接受日期:2024-08-19 出版日期:2025-02-01 发布日期:2025-02-11
  • 通信作者:
    陈国清,E-mail:
  • 联系方式: 周广飞,E-mail:gfzhou88@jaas.ac.cn。
  • 基金资助:
    江苏省科协青年科技人才托举工程(TJ-2023-052); 江苏省种业振兴揭榜挂帅项目(JBGS[2021]054); 江苏省种业振兴揭榜挂帅项目(1043); 江苏省重点研发计划(BE2022343); 江苏现代农业产业技术体系建设专项资金

Genome-Wide Association Study of Husk Traits in Maize

ZHOU GuangFei1(), MA Liang1, MA Lu1, ZHANG ShuYu1, ZHANG HuiMin1, SONG XuDong1, ZHANG ZhenLiang1, LU HuHua1, HAO DeRong1, MAO YuXiang1, XUE Lin1,2, CHEN GuoQing1,2()   

  1. 1 Jiangsu Yanjiang Institute of Agricultural Science, Nantong 226012, Jiangsu
    2 Jiangsu Collaborative Innovation Centre for Modern Crop Production, Nanjing 210095
  • Received:2024-07-05 Accepted:2024-08-19 Published:2025-02-01 Online:2025-02-11

摘要:

【目的】苞叶是影响玉米机械直收籽粒的重要性状之一,挖掘与玉米苞叶性状显著关联的遗传位点及候选基因,可为玉米苞叶性状的遗传改良提供理论依据。【方法】以251份玉米自交系为试验材料,在2个环境下鉴定玉米苞叶数目、长度和包裹度,借助覆盖全基因组32 853个单核苷酸多态性(single nucleotide polymorphisms,SNP)标记,利用多位SNP随机效应混合线性模型(multi-locus random-SNP-effect mixed linear model,mrMLM)进行全基因组关联分析,检测与3个苞叶性状显著关联的SNP位点,预测候选基因。【结果】3个苞叶性状在群体中表现出广泛的表型变异,变异系数为10.65%—40.60%;各性状在基因型、环境及基因型与环境互作均呈极显著差异,广义遗传率均大于80%。利用2个环境的表型数据及最佳线性无偏预测值,通过全基因组关联分析,共检测到92个与3个玉米苞叶性状显著关联的SNP位点,其中,与苞叶数目显著关联的SNP位点35个,单个SNP位点可解释1.48%—10.53%的表型变异,与苞叶长度显著关联的SNP位点33个,单个SNP位点可解释1.61%—21.79%的表型变异,与苞叶包裹度显著关联的SNP位点24个,单个SNP位点可解释2.17%—20.86%的表型变异。此外,未鉴定到同时与2个性状显著关联的SNP。92个SNP位点中有5个可同时在2个环境和最佳线性无偏预测值下被检测到,被认为是稳定的SNP位点,与前期研究相比,这5个SNP是新的遗传位点。参考关联群体的连锁不平衡衰减距离,利用5个稳定SNP位点,结合17个玉米自交系苞叶组织的qRT-PCR分析,筛选到3个玉米苞叶性状候选基因Zm00001d003850Zm00001d033706Zm00001d025612,分别编码BOI相关E3泛素蛋白连接酶、GeBP转录因子和未知功能蛋白。【结论】检测到92个与3个玉米苞叶性状显著关联的SNP位点,其中5个为稳定位点,预测了3个候选基因可能参与玉米苞叶性状的形态建成。

关键词: 玉米, 苞叶性状, 全基因组关联分析, 优异等位变异, 候选基因

Abstract:

【Objective】Husk is an important trait that affects the mechanical harvesting of maize grain, and identification of the genetic loci and candidate genes can provide theoretical basis for genetic improvement of maize husk traits. 【Method】To identify significantly associated single nucleotide polymorphisms (SNPs) and predict candidate genes for three husk traits, 251 maize inbred lines were used as plant materials and evaluated for husk number (HN), length (HL), and coverage (HC) in two environments. The genome-wide association study (GWAS) was conducted by multi-locus random-SNP-effect mixed linear model (mrMLM) with 32 853 SNPs across entire genome. 【Result】The three husk traits exhibited abundant variation among 251 maize inbred lines with 10.65%-40.60% of phenotypic variation coefficients. The variances of genotype, environment, and the genotype×environment interactions were significant at P<0.01 for each trait, and the broad-sense heritability for each trait was more than 80%. A total 92 SNPs significantly associated with three husk traits were identified in two environmental and best linear unbiased predictors (BLUP) across two environments values by GWAS. Among these SNPs, 35 SNPs were significantly associated with HN, and the phenotypic variance explained by single SNP ranged from 1.48% to 10.53%. 33 SNPs were significantly associated with HL, and the phenotypic variance explained by single SNP ranged from 1.61% to 21.69%. 24 SNPs were significantly associated with HC, and the phenotypic variance explained by single SNP ranged from 2.17% to 20.86%. However, none of SNP could be significantly associated with two husk traits. Five of 92 SNPs were stable, as they were repeatedly detected in two environments and BLUP, also they were novel loci for first reported in this study. Based on the five stable SNPs and qRT-PCR analysis for husk tissue of 17 maize inbred lines, three candidate genes (Zm00001d003850, Zm00001d033706 and Zm00001d025612) related to maize husk were screeded out, which encoded BOI-related E3 ubiquitin-protein ligase, GeBP transcription factor, and protein of unknown function, respectively. 【Conclusion】A total of 92 SNPs significantly associated with three husk traits were identified, including five stable SNPs. Three candidate genes were predicted that might be involved in maize husk growth and development.

Key words: maize, husk traits, genome-wide association study, elite allele, candidate gene