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影响生殖特征的全基因组关联研究和候选基因网络使用伊朗霍尔斯坦序列数据

Narges Maddahi¹, Mostafa Sadeghi², Seyed Reza Miraee Ashtiani¹

¹Department of Animal Science, College of Agriculture and Natural Resources, University of Tehran, Karaj, Iran.

|July 11, 2025

概括

这项研究使用全基因组关联研究 (GWAS) 在伊朗霍尔斯坦牛中确定了55个遗传标记和54个与生殖特征相关的候选基因. 这些发现可以改善奶牛的生育能力和遗传理解.

科学领域:

动物遗传学动物遗传学
生殖生物学生殖生物学
乳制品科学乳制品科学

背景情况:

生殖效率对于奶牛群的利能力至关重要.
基因组信息提供了改善生育特征的潜力.
全基因组关联研究 (GWAS) 是将遗传变异与性能联系起来的关键.

研究的目的:

确定与伊朗霍尔斯坦牛的关键生殖特征相关的基因组区域.
确定特定的单核酸多态 (SNPs) 影响诸如开放日和第一次分娩时的年龄等特征.
发现与生殖表现相关的候选基因.

主要方法:

利用SNP芯片数据进行全基因组关联研究 (GWAS).
分析生殖特征,包括第一次和最后一次授精之间的间隔 (IFL),开放日 (DO),分娩到第一次服务 (DFS) 的天数,每次受孕服务的数量 (NSPC),第一次分娩的年龄 (AFC) 和第一次授精的年龄 (AFI).
进行基因本体学分析,以识别接近显著SNP的候选基因.

主要成果:

在IFL,DO,NSPC,AFI和AFC特征中确定了55个显著的单核酸多态 (SNPs).
发现了54个与生殖特征相关的候选基因.
突出了关键基因,如ATG7,PTPN5,LPL和SERP2,它们可能在母牛和母牛繁殖中发挥作用.

结论:

该研究成功确定了55个标记特征关联 (MTA) 和54个与生殖特征相关的候选基因.
这些已识别的SNP和基因为提高伊朗霍尔斯坦乳牛的生殖性能提供了宝贵的基因组资源.
这些发现有助于更深入地了解牛繁殖特征背后的遗传结构.

关键词:

候选基因是一个候选基因.伊朗的荷尔斯坦牛是伊朗的荷尔斯坦牛.生殖性特征生殖性特征整个基因组序列的测序

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