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首页 > 过刊浏览>2026年第27卷第6期 >1128-1142. DOI:10.13430/j.cnki.jpgr.20260206002 优先出版
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小偃麦衍生系抗旱相关指标的全基因组关联分析
DOI:
10.13430/j.cnki.jpgr.20260206002
CSTR:
作者:
作者单位:

山西农业大学农学院,太原 030031

作者简介:

研究方向为小麦遗传育种,E-mail: lilinyingemail@163.com

通讯作者:

常利芳,研究方向为小麦遗传育种,E-mail: changlifang@sxau.edu.cn
张晓军,研究方向为小麦遗传育种,E-mail: zxjemail@163.com

中图分类号:

基金项目:

山西省基础研究计划(202403021211048);农业农村部小麦种质资源精准鉴定项目(19230606)


Genome-wide Association Analysis of Drought Resistance Related Indicators in Wheat-Thinopyrum intermedium Introgression Line
Author:
Affiliation:

College of Agronomy,Shanxi Agricultural University, Taiyuan 030031

Fund Project:

Foundation projects: Basic Research Program in Shanxi Province (202403021211048); Precision Identification Project for Wheat Germplasm Resources of the Ministry of Agriculture and Rural Affairs(19230606)

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    摘要:

    干旱是影响小麦产量的最主要非生物胁迫因素之一。为挖掘小偃麦衍生系中的重要抗旱位点及其候选基因,在前期萌发期抗旱鉴定的基础上,以180份小偃麦衍生系的15个抗旱相关指标,结合小麦55K SNP芯片基因分型,利用混合线性模型(PCA+K)进行全基因组关联分析,检测与抗旱指标显著关联的SNP位点,并对重要位点进行候选基因预测及单倍型分析。结果表明,15个抗旱相关指标均表现出广泛的表型变异,变异系数范围为4.22%~28.53%。相关分析表明15个抗旱相关指标之间大多存在显著或极显著相关性,频率分布均呈正态或偏正态分布。全基因组关联分析共检测到69个与抗旱指标显著关联的SNP位点,其中成簇分布的、多效性的和主效的SNP位点/区段有36个,分布在1A、1B、2A和2B等17条染色体上,表型贡献率为6.20%~12.00%。比较发现其中有11个是尚未见报道的抗旱性候选新位点。共筛选到125个与小麦抗旱相关的候选基因,编码晚期胚胎发生丰富蛋白、赖氨酸63特异性去泛素化酶、碱性亮氨酸拉链转录因子、快速碱化因子1、钙结合蛋白39、锌转运ATP酶、富含亮氨酸重复受体样蛋白激酶等蛋白。单倍型分析表明,21个候选基因不同单倍型间的抗旱表型差异显著,可能为重要抗旱候选基因。

    Abstract:

    Drought is one of the most critical abiotic stress factors affecting wheat yield. To identify the key drought resistant loci and candidate genes in wheat-Thinopyrum intermedium introgression lines, 180 wheat-Thinopyrum intermedium introgression lines were used as materials in the study. Based on the previous drought tolerance identification at the germination stage, 15 drought resistance related indicators were taken as phenotypes combined with genotyping using wheat 55K SNP array, a mixed linear model(PCA+K) was employed for genome-wide association analysis to detect SNPs significantly associated with drought tolerance indicators. Candidate gene prediction and haplotype analysis were further conducted for significant loci. The results showed that all the 15 drought resistance related indicators exhibited extensive phenotypic variation, with coefficients of variation ranging from 4.22%-28.53%. Correlation analysis revealed that most of the 15 drought resistance related indicators exhibited significant or highly significant correlations, and the frequency distribution followed a normal or skewed normal distribution. A total of 69 SNPs significantly associated with drought tolerance indicators were detected by genome-wide association analysis with the threshold P<0.001. Among these, 36 important SNP loci or segments were identified, including cluster-distributed loci, pleiotropic loci, and major effect loci, which were distributed across 17 chromosomes such as 1A, 1B, 2A and 2B, explaining 6.20%-12.00% of the phenotypic variation. Comparative analysis indicated that 11 of these were previously unreported drought-resistant loci. A total of 125 candidate genes related to wheat drought tolerance were identified, encoding late embryogenesis abundant protein, lysine 63-specific deubiquitinase BRCC 36, basic leucine zipper transcription factors, rapid alkalinization factor 1, calcium-binding protein 39, zinc-transporting ATPases, and leucine-rich repeat receptor-like protein kinases and other related proteins. Haplotype analysis revealed significant differences in drought tolerance phenotypes among different haplotypes of the 21 candidate genes, indicating that these genes could be important candidate genes for drought tolerance.

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李林影,王子豪,冯苗苗,等.小偃麦衍生系抗旱相关指标的全基因组关联分析[J].植物遗传资源学报,2026,27(6):1128-1142.

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  • 收稿日期:2026-02-06
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  • 在线发布日期: 2026-06-10
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