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在大白猪中,基因组选择和基因组范围的关联分析用于子大小特征

Yifeng Hong^1,2,3, Xiaoyan He^3,4, Dan Wu^3,4

¹College of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangzhou 510642, China.

Animals : an open access journal from MDPI

|June 26, 2025

概括

基因组选择通过识别GPR12作为生殖效率的关键基因,提高了猪大小预测的准确性. 这提高了猪的繁殖策略.

科学领域:

动物遗传学动物遗传学
生殖生物学生殖生物学
量化遗传学量化遗传学

背景情况:

子大小对于猪繁殖效率至关重要,但由于遗传性低且性别受限的影响,提高子大小具有挑战性.
了解子大小特征的遗传结构对于开发有效的育种计划至关重要.
基因组选择 (GS) 和全基因组关联研究 (GWAS) 提供了强大的工具来剖析复杂的特征,如子大小.

研究的目的:

为了阐明大型白猪中九种子大小特征的遗传结构.
通过基因组选择和GWAS识别与 litter 尺寸相关的候选基因.
评估单步基因组最佳线性无偏预测 (ssGBLUP) 的有效性,以提高预测准确度.

主要方法:

在大白母猪中分析了九种子大小特征的表型数据.
基因型测序 (GBS) 产生了153,782个高质量的单核酸多态 (SNP).
单步基因组最佳线性无偏预测 (ssGBLUP) 和单步全基因组关联研究 (ssGWAS) 用于遗传评估和关联分析.

主要成果:

子特征的遗传概率估计在0.01至0.06.之间.
与传统的BLUP相比,ssGBLUP的预测精度提高了6.38-13.33%.
确定了六个重要的基因组窗口,SSC11上的GPR12被突出显示为影响卵细胞发育的关键候选基因.

结论:

ssGBLUP有效地提高了基因组预测准确性在具有低遗传性的特征.
基因GPR12被确定为猪中子大小的关键遗传因素.
将这些发现纳入养殖计划可以提高猪群的生殖效率和小猪健康.

关键词:

这里是GSGSGSGS.大型白色的大型白色遗传参数遗传参数子尺寸特征子尺寸特征 ssGWAS 公司

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