在Nellore牛中使用全基因组重新测序数据检测和功能评估结构变异
Natalia A Marín-Garzón1, Lucio F M Mota2, Giovana Vargas1
1School of Agricultural and Veterinarian Sciences, São Paulo State University (UNESP), Via de Acesso Prof. Paulo Donato Castelane, Jaboticabal, 14884-900, SP, Brazil.
Scientific reports
|August 19, 2025
概括
尼罗尔牛基因组中的结构变异 (SV) 影响复杂的特征. 这项研究确定了频繁的SVs,将它们与候选基因和定量特征位点 (QTL) 联系起来,这对适应和生产力至关重要.
科学领域:
- 基因组学就是基因组学.
- 动物遗传学动物遗传学
- 畜牧养殖 畜牧养殖 畜牧养殖
背景情况:
- 结构变异 (SV) 显著影响牲畜中的基因表达和复杂特征.
- 全基因组重新测序 (WGS) 的进展有助于在牛群中识别 SV.
研究的目的:
- 在Nellore牛中使用WGS数据检测结构变异 (SVs).
- 为了确定位置候选基因和定量特征位点 (QTL),重叠频繁的SV区域.
- 了解与SVs相关的基因在经济重要特征中的功能性作用.
主要方法:
- 来自151只内罗尔公牛的全基因组重新测序 (WGS) 数据被分析为全基因组的SV调用.
- 确定了共同的SV区域,并使用Ensembl和Cattle QTL数据库绘制了重叠的基因和QTL.
- 通过""数据库,使用基因本体学 (GO) 术语对已识别的基因进行了功能分类.
主要成果:
- 总共有215,031个SV被确定,主要是复制数变体 (CNV) 和反转变体 (INV).
- 532个SV区域在50%以上的公牛中是常见的,重叠了与生产,健康和繁殖特征相关的130个QTL.
- 确定了1164个定位候选基因,其中204个SV区域重叠的基因对环境适应和料效率至关重要.
结论:
- 靠近 SV 区域的基因对生物功能至关重要,包括耐热性,免疫力,新陈代谢和组织完整性.
- 在Nellore牛群中,SV在塑造经济上重要的特征方面发挥着重要作用,特别是在热带环境中.
- 这项研究为利用SV信息在基因组选择中为改善牲畜表现和适应提供了基础.
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