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韩国商业猪品种的生长特征的全基因组关联研究,使用贝叶斯方法

Jong Hyun Jung¹, Sang Min Lee², Sang Hyon Oh³

¹Jung P&C Institute, Yongin 16950, Korea.

Animal bioscience

|April 19, 2024

概括

这项研究确定了28个重要的遗传区域和14个与猪生长特征相关的候选基因,包括在韩国商业品种中调整后背脂肪厚度,平均每日增加和90公斤的天数. 这些发现支持改善养猪计划的遗传选择.

科学领域:

动物遗传学动物遗传学
量化遗传学量化遗传学
牲畜基因组学动物基因组学

背景情况:

了解生长特征的遗传结构对于养猪至关重要.
识别显著的遗传区域和候选基因可以提高选择效率.
韩国商业猪种群 (Duroc,Landrace,Yorkshire) 对猪肉生产非常重要.

研究的目的:

确定重要的基因组区域和候选基因,用于韩国商业猪的生长相关特征.
为了分析调整后背脂肪厚度 (ABF),平均每日增量 (ADG) 和90公斤 (DAYS90) 的天数.
为猪养殖中的遗传改进策略提供见解.

主要方法:

使用SNP标记物的全基因组关联研究 (GWAS).
对Illumina PorcineSNP60数组进行计算.
贝叶斯B方法用于显著性值,窗口解释≥1%的遗传变异被认为是显著的.

主要成果:

确定了28个与生长特征相关的显著遗传区域.
在Duroc,Landrace和约克郡品种中检测到52个信息SNP.
发现由这些区域解释的遗传变异在1.00%至5.46%之间.
确定了14个候选基因,先前对生长特征进行了功能验证.

结论:

鉴定到的SNP对于生猪育种中的标记辅助或基因组选择具有价值.
这些发现有助于更好地了解猪生长的遗传结构.
通过应用这些已识别的遗传标记物,可以促进猪的遗传增强.

关键词:

全基因组关联研究研究.增长的特征增长的特征猪猪猪猪猪猪猪猪猪猪猪猪猪猪猪猪猪猪猪猪猪一个单核酸多态性多态性.

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