中国农业科学 ›› 2025, Vol. 58 ›› Issue (9): 1663-1683.doi: 10.3864/j.issn.0578-1752.2025.09.001

• 作物遗传育种·种质资源·分子遗传学 •    下一篇

小麦苗期耐热性全基因组关联分析

李云丽1(), 刁邓超1, 刘雅睿1, 孙玉晨1, 孟祥宇1, 邬陈芳1, 汪妤1, 吴建辉1,3, 李春莲1,3, 曾庆东2,3, 韩德俊1,3, 郑炜君1,3()   

  1. 1 西北农林科技大学农学院,陕西杨凌 712100
    2 西北农林科技大学植物保护学院,陕西杨凌 712100
    3 作物抗逆与高效生产全国重点实验室,陕西杨凌 712100
  • 收稿日期:2024-09-30 接受日期:2024-11-27 出版日期:2025-05-08 发布日期:2025-05-08
  • 通信作者:
    郑炜君,E-mail:
  • 联系方式: 李云丽,E-mail:2367016821@qq.com。
  • 基金资助:
    科技创新2030重大专项(2023ZD04026)

Genome-Wide Association Study of Heat Tolerance at Seedling Stage in A Wheat Natural Population

LI YunLi1(), DIAO DengChao1, LIU YaRui1, SUN YuChen1, MENG XiangYu1, WU ChenFang1, WANG Yu1, WU JianHui1,3, LI ChunLian1,3, ZENG QingDong2,3, HAN DeJun1,3, ZHENG WeiJun1,3()   

  1. 1 College of Agronomy, Northwest A&F University, Yangling 712100, Shaanxi
    2 College of Plant Protection, Northwest A&F University, Yangling 712100, Shaanxi
    3 State Key Laboratory for Crop Stress Resistance and High-Efficiency Production, Yangling 712100, Shaanxi
  • Received:2024-09-30 Accepted:2024-11-27 Published:2025-05-08 Online:2025-05-08

摘要:

【目的】 小麦是中国乃至世界最重要的口粮之一,随着全球性的气候变化,高温成为限制小麦安全生产的主要逆境因素。筛选、鉴定优异耐热种质资源、挖掘耐热候选基因,可以丰富我国小麦耐热性遗传基础,为培育小麦耐热品种提供先决条件,保证国家粮食生产安全。【方法】 以331份小麦种质组成的自然群体为材料,采用人工气候箱模拟高温的方法,通过调查不同处理时长下小麦幼苗的存活率,以耐热级数为指标,评价其耐热性。结合55K SNP芯片基因型分析结果,通过全基因组关联分析(genome-wide association study,GWAS)方法,发掘耐热性相关的遗传位点。结合小麦热胁迫下根、叶等多组织的表达量数据,筛选耐热性相关基因,最后,以极耐热种质西农889和热敏感种质中国春为材料,利用qPCR方法对候选基因进行验证。【结果】 高温胁迫下,不同小麦的存活率存在极端差异,极耐热、中等耐热、中等热敏感、极热敏感的种质资源分别是110、104、110和7份,占比为33.23%、31.42%、33.23%和2.12%,鉴定获得西农889、郑麦7698、中麦895、周麦18和丰产3号等耐热种质资源;通过全基因组关联分析,共检测到293个与12 h存活率、耐热级数显著关联的SNP位点,表型变异解释率为4.40%—12.46%,其中,与12 h存活率相关的位点200个,与耐热级数相关位点257个,定位到的相同耐热相关位点164个;基于显著关联的SNP标记,共预测到313个耐热相关基因。根据基因注释信息,以及热胁迫下的表达量数据,筛选出23个耐热候选基因,对差异表达的候选基因进行qPCR验证,鉴定到20个关键耐热候选基因。【结论】 鉴定了331份小麦种质的苗期耐热性,建立了一种45 ℃高温下测定不同处理时长的幼苗存活率鉴定小麦耐热性的快速方法,筛选出38份耐热种质。共检测到293个与小麦苗期耐热性显著关联的位点,筛选出TraesCS1A02G355900TraesCS1A02G389500TraesCS5A02G550700TraesCS5D02G557100TraesCS6D02G402500TraesCS7A02G232500等关键候选基因。

关键词: 小麦, 高温胁迫, 55K SNP芯片, 全基因组关联分析, 候选基因

Abstract:

【Objective】 Wheat is a cornerstone of global food security, with its production being pivotal in both China and the international community. With global climate change, the threat of high temperature has become increasingly prominent, posing a significant challenge to wheat cultivation. The strategic identification and selection of heat-tolerant germplasm, coupled with the exploration of genes associated with heat resistance, are crucial steps. These efforts are essential for broadening the genetic diversity of heat tolerance in wheat within China, providing prerequisites for breeding heat-tolerant wheat varieties and ultimately contributing to the safeguarding of our nation’s food security in the face of a warming climate. 【Method】 In this study, a natural population of 331 wheat accessions was utilized, and artificial climate chambers were employed to simulate high temperatures conditions. The heat tolerance of wheat seedlings was assessed by monitoring their survival rate under various durations of treatment, using heat resistance grade as the evaluative metric. Meanwhile, a genome-wide association study (GWAS) was conducted using the 55K SNP chip to identify genetic loci associated with heat tolerance. Expression data from multiple tissues, including roots, leaves under heat stress were analyzed, leading to the selection of genes related to heat tolerance. Subsequently, qPCR validation of candidate genes was performed using the extremely heat-tolerant accession Xinong 889 and the heat-sensitive accession Chinese Spring (CS) as materials. 【Result】 Under high-temperature stress, significant variations in survival rates were observed among different wheat accessions. The extremely heat-tolerant, moderately heat-tolerant, moderately heat-sensitive, and extremely heat-sensitive germplasm accounted for 110, 104, 110, and 7, respectively, representing 33.23%, 31.42%, 33.23%, and 2.12% of the total. Heat-tolerant germplasms, including Xinong 889, Zhengmai 7698, Zhongmai 895, Zhoumai 18, and Fengchan 3, were identified. Through GWAS, a total of 293 SNP loci significantly associated with the 12-hour survival rates (SR) and heat resistance grades (HRG) were detected, with the phenotypic variation explained ranging from 4.40% to 12.46%. Among these, 200 loci were related to the 12-hour survival rates, and 257 were related to the heat resistance grades, with 164 loci identified as the same heat-related loci. Based on significantly associated SNP markers, 313 heat-related genes were predicted. According to gene annotation information and expression data under heat stress, 23 heat tolerance candidates were selected, and after qPCR validation of differentially expressed candidate’s genes, 20 key heat tolerance candidate genes were identified. 【Conclusion】 At the seedling stage, 331 wheat germplasms were identified for heat tolerance. A rapid method was developed for determining the survival rate of wheat seedlings subjected to treatments of varying durations at 45 ℃ to assess their heat tolerance In total, 38 heat-tolerant germplasms and 293 loci significantly associated with seedling heat tolerance were screened. Also, TraesCS1A02G355900, TraesCS1A02G389500, TraesCS5A02G550700, TraesCS5D02G557100, TraesCS6D02G402500 and TraesCS7A02G232500 represented as candidate genes were filtered out.

Key words: wheat, heat stress, 55K SNP array, genome-wide association analysis, candidate genes