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首页 > 过刊浏览>2025年第26卷第4期 >784-796. DOI:10.13430/j.cnki.jpgr.20240816005 优先出版
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小麦籽粒色泽性状的全基因组关联分析及候选基因挖掘
DOI:
10.13430/j.cnki.jpgr.20240816005
CSTR:
作者:
  • 董中东

    董中东

    河南农业大学农学院,郑州450046
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  • 井震海

    井震海

    河南农业大学农学院,郑州450046
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  • 裴丹

    裴丹

    河南农业大学农学院,郑州450046
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  • 孙丛苇

    孙丛苇

    河南农业大学农学院,郑州450046
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  • 陈锋

    陈锋

    河南农业大学农学院,郑州450046
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作者单位:

河南农业大学农学院,郑州450046

作者简介:

主要从事小麦育种研究,E-mail: dongzhongdong@163.com

通讯作者:

孙丛苇,主要从事生物信息学研究,E-mail: clusterreed@163.com
裴 丹,主要从事小麦分子育种研究,E-mail:peidan1115@163.com

中图分类号:

基金项目:

国家自然科学基金项目(32201849);河南省科技攻关项目(232102111109)


Genome-Wide Association Studies of Kernel Color Traits in Common Wheat and Mining of Candidate Gene
Author:
  • DONG Zhongdong

    DONG Zhongdong

    College of Agronomy, Henan Agricultural University, Zhengzhou 450046
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  • JING Zhenhai

    JING Zhenhai

    College of Agronomy, Henan Agricultural University, Zhengzhou 450046
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  • PEI Dan

    PEI Dan

    College of Agronomy, Henan Agricultural University, Zhengzhou 450046
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  • SUN Congwei

    SUN Congwei

    College of Agronomy, Henan Agricultural University, Zhengzhou 450046
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  • CHEN Feng

    CHEN Feng

    College of Agronomy, Henan Agricultural University, Zhengzhou 450046
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Affiliation:

College of Agronomy, Henan Agricultural University, Zhengzhou 450046

Fund Project:

Foundation projects: National Natural Science Foundation of China(32201849);Henan Province Science and Technology Attack Project (232102111109)

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    摘要:

    小麦籽粒色泽性状亮度(L*)、红度(a*)和黄度(b*)是小麦品质的重要指标。为挖掘调控小麦籽粒色泽相关性状的遗传位点,对黄淮麦区243份小麦材料组成的自然群体进行了4个环境下籽粒色泽性状表型调查,群体基因型信息由小麦 660K SNP芯片表征,并在此基础上进行了全基因组关联分析。结果表明,与籽粒色泽关联的显著SNP 位点共有785个,可解释11.4%~23.4% 的表型变异,其中与L*关联的SNP 位点主要分布在1A、1D、2B、3D、7A和7D染色体上,与a*关联的SNP 位点主要分布在2A、2B、2D、4B、5B、5D、7A 和7D染色体上,与b*关联的SNP 位点主要分布在2B、5B、5D、6D、7A、7B和7D染色体上。51个显著SNP 位点为一因多效位点。通过基因功能注释挖掘到了36个和籽粒色泽相关的候选基因,其中仅8 个基因在籽粒中表达。进一步通过基因多态性分析发现仅有小麦硬度调控基因Pinb(TraesCS5D02G004300)和UDP-葡萄糖/GDP-甘露糖脱氢酶基因TraesCS5B02G399800与目标性状显著关联。单倍型分析挖掘到位于TraesCS5B02G399800基因内部的差异单倍型与b*显著关联。本研究挖掘到的候选基因对小麦籽粒色泽的分子标记辅助选择和全基因组预测提供了参考。

    关键词:小麦;籽粒色泽;全基因组关联分析
    Abstract:

    Wheat kernel color related traits L*, a*, and b* are important indicators of wheat quality. To elucidate the genetic architecture underlying these traits, we conducted a comprehensive genome-wide association study (GWAS) using 243 wheat accessions from Huang-huai wheat region. Phenotypic evaluations were performed in four environments, complemented by genotyping using the wheat 660K SNP assay. We identified 785 significant SNP markers associated with kernel color traits, collectively explaining 11.4%-23.4% phenotypic variation. Marker-trait associations exhibited distinct chromosomal distributions: SNPs associated with L* are mainly located on chromosomes 1A, 1D, 2B, 3D, 7A and 7D; SNPs associated with a* are primarily distributed on chromosome 2A, 2B, 2D, 4B, 5B, 5D, 7A and 7D; SNPs associated with b* are predominantly distributed on chromosome 2B, 5B, 5D, 6D, 7A, 7B and 7D. Notably, 51 SNPs showed pleiotropic effects. Thirty-six candidate genes related to the kernel color traits were identified by gene annotation, of which eight exhibited kernel-specific expression patterns. Polymorphism analysis revealed significant associations between target traits and two key genes, Pinb (TraesCS5D02G004300) and UDP-glucose/GDP-mannose dehydrogenase gene TraesCS5B02G399800. Haplotype analysis of TraesCS5B02G399800 identified distinct allelic variants significantly associated with b*. Therefore, these findings provide valuable genomic resources for marker-assisted selection and genomic prediction strategies for wheat kernel color traits.

    Key words:wheat;kernel color;GWAS
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董中东,井震海,裴丹,等.小麦籽粒色泽性状的全基因组关联分析及候选基因挖掘[J].植物遗传资源学报,2025,26(4):784-796.

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