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使用全基因组SNP数据,在杂交的陆猪种群中阐明种群分层标记和选择性扫描

Tapendra Saini¹, Anuj Chauhan², Sheikh Firdous Ahmad¹

¹Animal Genetics Division, ICAR-Indian Veterinary Research Institute, Izatnagar, 243122, India.

Mammalian genome : official journal of the International Mammalian Genome Society

|March 15, 2024

概括

这项研究确定了500个基因标记,以有效地区分猪品种,并揭示了农场猪对免疫力和料效率等特征的选择性扫描,有助于未来的育种改进.

科学领域:

动物遗传学和动物基因组学
人口遗传学人口遗传学
量化遗传学量化遗传学

背景情况:

准确识别人口分层标志物对于牲畜的遗传研究至关重要.
了解全基因组的选择性扫描可以了解化和繁殖历史.
兰德利猪种群是一个印度杂交品种,需要详细的遗传特征.

研究的目的:

从商业猪SNP 60K阵列中识别种群分层单核酸多态 (SNP) 标记物.
为了阐明杂交的Landlly猪种群中的全基因组选择性扫描.
为了比较农场猪和全球品种之间的遗传多样性和选择特征.

主要方法:

来自Landlly猪的基因定型数据与全球毛猪品种 (异国品种,中国品种,外来品种) 合并.
用TRES和FIFS程序在各种密度 (0.5K到4K) 中对全基因组SNP进行了分层功率排名.
主要组件分析 (PCA) 和主要组件差异分析 (DAPC) 用于分层评估;选择性扫描使用单元型统计和塔吉马的D-统计来确定.

主要成果:

500个标记物的低密度面板有效地分层了来自其他种群的Landlly猪.
在DAPC计划中的Delta统计数据在标记物选择方面表现出优势,有3000个标记物适合从异国种群中对Landlly进行分层.
在Landlly猪中检测到乳母,生殖,身体形状,料效率和免疫特征的选择性扫描,有强有力的证据表明免疫力和料效率的选择.

结论:

大约500个SNP标记物足以有效地对猪进行品种分层.
陆地猪种群表现出经济重要特征的显著选择特征.
这些发现可以指导未来的育种策略,以增强猪种群的特定特征.

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