Zhang Kai, Zhao Jianqing, Mi Shirong, Liu Jiqiang, Luo Jun, Liu Jianxin, Shi Hengbo
Institute of Dairy Science, College of Animal Sciences, Zhejiang University, Hangzhou, 310058, China.
College of Animal Science and Technology, Northwest A&F University, Yangling, Shaanxi, 712100, China.
Sci Data. 2025 Mar 29;12(1):528. doi: 10.1038/s41597-025-04880-6.
The Saanen breeds are often used as terminal sires for hybridization and play an important role in the global dairy food industry. However, there is still a lack of genomics information on the Saanen dairy goats. Whole-genome sequencing offers a promising approach to identify genetic markers associated with economic traits and discover new candidate genes. This can effectively utilize genetic resources to accelerate breeding processes and improve lactation performance in Saanen dairy goats. In this study, we present the genomes of 298 Saanen dairy goats. Through rigorous sequencing and quality control, we achieved an average sequencing depth of 14.6X, with 92.3% of high-quality (Q30 > 90%) data and an average mapping ratio of 99.9%, indicating reliable results. By comparing our data to a reference genome of Saanen dairy goats, we identified14.59 million single nucleotide polymorphisms (SNPs) and 1.34 million insertions-deletions (InDels). This dataset significantly contributes to enriching public databases in dairy goats and provides valuable resources for studying genetic diversity, improving breeds, and developing new varieties.
萨能品种常被用作杂交的终端父本,在全球乳制品行业中发挥着重要作用。然而,萨能奶山羊的基因组学信息仍然匮乏。全基因组测序为识别与经济性状相关的遗传标记和发现新的候选基因提供了一种有前景的方法。这可以有效地利用遗传资源来加速育种进程,并提高萨能奶山羊的泌乳性能。在本研究中,我们展示了298只萨能奶山羊的基因组。通过严格的测序和质量控制,我们实现了平均测序深度为14.6X,高质量(Q30>90%)数据占92.3%,平均比对率为99.9%,表明结果可靠。通过将我们的数据与萨能奶山羊的参考基因组进行比较,我们鉴定出1459万个单核苷酸多态性(SNP)和134万个插入缺失(InDel)。该数据集对丰富奶山羊公共数据库有显著贡献,并为研究遗传多样性、改良品种和培育新品种提供了宝贵资源。