对穆拉水牛第一次分娩时的年龄的基因型与环境相互作用的基因组分析
Jessica Cristina Gonçalves Dos Santos1, Francisco Ribeiro de Araujo Neto2, Leonardo de Oliveira Seno3
1Faculdade de Ciências Agrárias e Veterinárias de Jaboticabal - UNESP, Jaboticabal, São Paulo, Brazil.
概括
改善奶牛的繁殖需要了解基因型与环境相互作用 (GEI) 对于第一次分娩时的年龄 (AFC). 基因组分析确定了候选基因,提高了强壮动物选择的育种价值准确性.
科学领域:
- 动物遗传学和动物繁殖
- 生殖生物学 生殖生物学
- 基因组学就是基因组学.
背景情况:
- 第一次分娩时的年龄 (AFC) 对于奶牛的生产力至关重要,但由于遗传性较低,环境因素对其的影响很大.
- 使用基因型与环境相互作用 (GEI) 的估计育种值 (EBV) 进行强壮动物的选择是改善水牛生殖表现的关键.
- 反应规范模型 (RNM) 提供了一个框架来分析GEI和预测EBV在不同的环境条件下.
研究的目的:
- 为了预测AFC的EBV,考虑GEI使用Murrah水牛中的RNMs.
- 通过全基因组关联研究 (GWAS) 识别与AFC的GEI相关的候选基因.
- 通过结合基因组信息和GEI来提高育种价值的准确性.
主要方法:
- 利用了1795年3个穆拉水牛群的AFC记录.
- 基于270天的累积牛奶产量构建的环境梯度 (EG).
- 应用RNM以估计EGs之间的遗传性,并对RNM斜率参数进行GWAS.
主要成果:
- 对AFC的遗传概率估计在环境梯度中从0.15到0.39不等.
- GWAS在BBU1上发现了一个显著的基因组区域,解释了RNM斜率的0.67%的遗传变异.
- 确定了五个候选基因,与脂质代谢和免疫有关,这表明在Murrah水牛中AFC的GEI.
结论:
- 基因型与环境的相互作用对Murrah水牛的AFC有显著影响,需要GEI意识的育种策略.
- 将基因组数据和GEI分析纳入其中,提高了AFC的育种价值的准确性.
- 已识别的候选基因为AFC适应环境变化的遗传结构提供了洞察力,有助于标记器辅助选择.
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