Investigation of selection signatures of dairy goats using whole-genome sequencing data.

IF 3.7 2区 生物学 Q2 BIOTECHNOLOGY & APPLIED MICROBIOLOGY BMC Genomics Pub Date : 2025-03-12 DOI:10.1186/s12864-025-11437-9
Weifeng Peng, Yiyuan Zhang, Lei Gao, Shuping Wang, Mengting Liu, Enrui Sun, Kaixin Lu, Yunxia Zhang, Bing Li, Guoyin Li, Jingya Cao, Mingsheng Yang, Yanfeng Guo, Mengyun Wang, Yuming Zhang, Zihan Wang, Yan Han, Shuhua Fan, Li Huang
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Abstract

Dairy goats, a livestock species with a long history of milk production, are essential for the economic advancement of nations, particularly in regions experiencing growth. In this study, we gathered whole-genome resequencing data of 58 goats, including 34 dairy goats and 24 wild goats (Bezoar), to explore the selection signatures linked to milk production traits using ROH (Runs of homozygosity), CLR (composite likelihood ratio), Fst (Fixation index), XP-EHH (Ex-tended haplotype homozygosity across populations) and XP-CLR(Cross-population composite likelihood ratio test) methods. Analysis of five tests of selection signatures for dairy goats revealed a total of 210 genes, with 24 genes consistently identified in at least two approaches. These genes are associated with milk fat, milk protein, and fat yield. Gene enrichment analysis highlighted important GO and KEGG pathways related to milk production, such as the "acyl-CoA metabolic process", "glycerolipid biosynthetic process", "cellular response to fatty ac-id", "hormone metabolic process", "Galactose metabolism". Additionally, genes linked to repro-duction, immune response, and environmental adaptation were identified in dairy goats. The findings from our study offer profound understanding into the critical economic features of dairy goats and offer practical guidance for the improvement and development of crossbreeding initiatives across different dairy goat breeds.

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利用全基因组测序数据研究奶山羊的选择特征。
奶山羊是一种具有悠久产奶历史的牲畜,对国家的经济发展至关重要,特别是在经济增长的地区。本研究收集了58只山羊的全基因组重测序数据,其中包括34只奶山羊和24只野生山羊(牛黄),利用ROH(纯合子数)、CLR(复合似然比)、Fst(固定指数)、XP-EHH(群体间扩展单倍型纯合子数)和XP-CLR(跨群体复合似然比检验)方法探索与产奶量性状相关的选择特征。对奶山羊选择特征的5个测试进行分析,共发现210个基因,其中24个基因在至少两种方法中被一致识别。这些基因与乳脂、乳蛋白和脂肪产量有关。基因富集分析强调了与产奶相关的重要GO和KEGG途径,如“酰基辅酶a代谢过程”、“甘油脂生物合成过程”、“脂肪酸细胞反应”、“激素代谢过程”、“半乳糖代谢”。此外,还在奶山羊身上发现了与繁殖、免疫反应和环境适应相关的基因。我们的研究结果对奶山羊的关键经济特征有了深刻的理解,并为不同奶山羊品种杂交的改进和发展提供了实用的指导。
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来源期刊
BMC Genomics
BMC Genomics 生物-生物工程与应用微生物
CiteScore
7.40
自引率
4.50%
发文量
769
审稿时长
6.4 months
期刊介绍: BMC Genomics is an open access, peer-reviewed journal that considers articles on all aspects of genome-scale analysis, functional genomics, and proteomics. BMC Genomics is part of the BMC series which publishes subject-specific journals focused on the needs of individual research communities across all areas of biology and medicine. We offer an efficient, fair and friendly peer review service, and are committed to publishing all sound science, provided that there is some advance in knowledge presented by the work.
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