全基因组关联研究在龙岩山马的卵生产特征中确定了候选基因
Yanfa Sun1, Yan Li1, Xiaobing Jiang2
1College of Life Science, Fujian Provincial Key Laboratory for the Prevention and Control of Animal Infectious Diseases and Biotechnology, Fujian Provincial Universities Key Laboratory of Preventive Veterinary Medicine and Biotechnology (Longyan University), Longyan University, Longyan, Fujian, 364012, P.R. China.
Poultry science
|July 14, 2024
概括
全基因组关联研究确定了层子卵生产特征的显著遗传标记. 这些发现为改善育种策略提供了关于卵子重量和数量的遗传基础的见解.
科学领域:
- 动物遗传学动物遗传学
- 量化遗传学 量化遗传学
- 基因组学就是基因组学.
背景情况:
- 蛋生产是层的关键经济特征,需要对其基因基础有更深入的了解,才能实施有效的繁殖计划.
- 识别蛋生产特征的遗传基础对于提高层养殖的效率和经济可行性至关重要.
研究的目的:
- 进行全基因组关联研究 (GWAS),以确定与长洋山马子的卵子生产特征相关的遗传变异.
- 为了阐明卵子重量和卵子数量的遗传结构,层.
主要方法:
- 采用基因型测序策略,分析了303只长山马雌性子.
- 进行了全基因组关联分析,以确定与卵子生产特征相关的单核酸多态 (SNP).
- 进行了SNP注释和途径丰富分析,以确定候选基因和生物途径.
主要成果:
- 62个SNP与卵子重量相关,其中8个符合严格的全基因组显著性值.
- 119个SNP与卵数相关,其中包括13个显著的SNP.
- 总共有146个点基因被注释,包括已知的候选人,如益生菌和益生菌释放激素受体.
- 丰富分析显示了与催产素信号传递,MAPK信号传递和信号传递等途径的显著关联.
- 18个基因在卵巢组织中表现出高和低产卵之间的差异性表达.
结论:
- 这项研究确定了重要的SNP和候选基因,这些基因与层的卵生产特征有关.
- 这些发现为卵生产的遗传基础提供了宝贵的见解,支持开发子繁殖的标记器辅助选择策略.
- 鉴定到的遗传通路为未来研究对子产卵调节分子机制的研究提供了基础.
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