ArticleScientific data2025
Whole-genome sequencing and variants data of 304 indigenous goats from Southwest China.
Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Uncovering Functional Genetic Variation in the Indigenous Greek Eghoria Goat: An Integrative Genome-Wide Discovery and Validation Approach.Current issues in molecular biology · 2026Article
- Applicability and performance evaluation of the Shennong 1 chicken 40 K liquid chip in commercial chicken populations.Poultry science · 2026Article
- Identifying selection signatures associated with production traits in Matou goats using whole-genome sequencing.Journal of animal science · 2026Article
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6 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Indigenous goats exhibit strong adaptability to remote environments and provide a vital source of protein for residents in impoverished regions. Whole-genome sequencing (WGS) data can elucidate the economic traits of these goats. However, the limited genomic resources have constrained the functional dissection of advantageous traits and hampered the breeding process in goats. Here, we present a WGS dataset of 304 goat samples, from the Guizhou black (n = 104), Hezhang black (n = 100), and Tashi (n = 100) goat breeds. The dataset consists of 6.0 TB of paired-end sequences generated through the BGI-T7 sequencing platform. The data has an average sequencing depth of 7.5X, a mapping ratio of 97.0%, and genome coverage of 98.4%. Following the variant calling and hard filtration, a total of 27.13 million single nucleotide polymorphisms (SNPs) and 2.76 million insertions-deletions (InDels) were retained. To our knowledge, this is the largest goat WGS dataset from Southwest China, significantly enriching the global public genomic resources for the study of genetic diversity, environmental adaptations, and functional genes in goats.
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