在泰国多品种基因组多基因评估中,从非基因型乳牛中包含被归算的基因型
Danai Jattawa1,2, Thanathip Suwanasopee1,2, Mauricio A Elzo2,3
1Department of Animal Science, Faculty of Agriculture, Kasetsart University, Bangkok 10900, Thailand.
Animal bioscience
|November 1, 2024
概括
结合非基因型乳牛的归算单核酸多态 (SNP) 数据,改善了基因组评估. 这种方法提高了多品种种群的基因改进计划的效率和成本效益.
科学领域:
- 动物遗传学动物遗传学
- 基因组学就是基因组学.
- 乳牛养殖 乳牛养殖 乳牛养殖
背景情况:
- 基因组选择需要大量的基因型数据,对于大种群来说,获得这些数据可能是昂贵的.
- 单核酸多态 (SNP) 数据的归算为增加标记物密度和改善基因组评估的潜在解决方案.
- 归算的准确性可能会有所不同,这可能会影响基因组多基因评估的可靠性.
研究的目的:
- 评估从非基因型动物获得的假定SNP数据对泰国多品种奶牛种群的基因组多基因评估的影响.
- 评估不同级别的归算准确度对这些评估的影响.
- 为了确定使用归算数据用于基因改进的成本效益.
主要方法:
- 利用了12859头母乳母牛的血统和表型记录 (牛奶产量,脂肪,第一次分娩的年龄).
- 整合了4,364只动物的基因型数据,模拟了非基因型个体的归算场景.
- 通过使用3个特征单步模型进行基因组多基因评估,使用实际和归算SNP集.
主要成果:
- 在非基因型动物中,推算准确度平均为40.55%.
- 基因和环境差异的估计在SNP集之间略有差异,归算数据显示的附加基因差异略高.
- 在所有SNP群中,特征之间的遗传性和相关性仍然相似,估计的繁殖值显示了具有和没有归算目标动物SNP的群之间的高相关性 (0.9990±0.0003).
结论:
- 使用来自非基因型动物的归算SNP数据有效地增强了基因组多基因评估.
- 这种方法提高了泰国多品种奶牛遗传改进计划的效率和成本效益.
- 导入数据为最大限度地提高乳制品种群的遗传收益提供了有价值的工具,在这些种群中,全面的基因型鉴定具有挑战性.
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