全基因组关联研究确定了与北欧红牛乳牛年轻种群存活相关的功能基因组变异
Zexi Cai1, Xiaoping Wu1, Bo Thomsen2
1Center for Quantitative Genetics and Genomics, Aarhus University, DK-8000 Aarhus C, Denmark.
Journal of dairy science
|August 29, 2023
概括
识别小牛生存的遗传标记对牛畜产业至关重要. 这项研究使用全基因组关联研究 (GWAS) 精确确定与北欧红牛乳牛年幼存活率和死产相关的定量特征位点 (QTL).
科学领域:
- 动物遗传学动物遗传学
- 乳牛养殖 乳牛养殖 乳牛养殖
- 量化遗传学 量化遗传学
背景情况:
- 牛犊的生存对于乳制品行业的经济可行性和动物福利至关重要.
- 了解小牛生存特征的遗传基础,包括幼存活率 (YSS) 和死产,对于遗传改进至关重要.
- 以前的研究已经确定了一些遗传因素,但需要进行全面的分析.
研究的目的:
- 确定与北欧红牛乳牛 (RDC) 年轻种群生存 (YSS) 和死产相关的定量特征基因 (QTL) 和候选基因.
- 通过全基因组关联研究 (GWAS) 调查YSS和死胎特征的遗传结构.
- 为基因选择提供见解,旨在减少小牛死亡率和改善乳牛福利.
主要方法:
- 全基因组关联研究 (GWAS) 在3077头RDC公牛中对YSS指数及其组成特征进行了退行估计的繁殖值.
- 在5141头RDC公牛中,GWAS还对死胎特征 (第一个和后来的哺乳期) 进行了测试.
- 后GWAS分析,包括条件测试和候选基因识别,被用来确定因果变异和基因.
主要成果:
- 在Bos taurus自体 (BTA) 4和6上的两个QTL区域与YSS指数有关.
- BTA4和BTA6上的QTL也与公牛和母牛犊的死亡率有关,另外BTA23上的QTL被确定为YSS组件特征.
- 对于死产的GWAS显示了BTA5,14和24上的明显的QTL区域,以及BTA6和BTA23上的多个QTL的进一步证据. 确定了包括LCORL,GRB10,NDUFA9,FGF23,LYN和KCNK5在内的假定因果基因.
结论:
- 这项研究确定了显著的QTL和潜在的因果基因,影响RDC中的小牛生存和死产.
- 这些发现突出了这些特征的复杂遗传基础,并为遗传选择提供了有价值的目标.
- 鉴定到的遗传知识可以应用于减少小牛的死亡率,提高动物福利,提高乳制品行业的经济效率.
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