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<p>The ancient Tibetan sheep breed has been shaped by long-term natural selection and artificial breeding in the Qinghai-Tibet Plateau region. Although their green organic mutton is highly favored by consumers, the low production efficiency of Tibetan sheep has resulted in a persistent supply shortage. Whole-genome sequencing analysis can identify genetic markers and candidate genes associated with important economic traits, which can be used in genomic-assisted breeding to accelerate genetic improvement and increase production efficiency. Here, we report whole-genome sequencing data from 220 Tibetan sheep across 11 populations inhabiting different altitudes, with an average coverage of 6.20X. Over 98.34% of clean reads were successfully mapped to the Tibetan sheep reference genome, identifying approximately 21.10 million high-quality single-nucleotide polymorphisms. This dataset provides a valuable resource for studying the genetic diversity and adaptability of Tibetan sheep, and may accelerate improvements in genetic traits.</p>

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Whole-genome variant of 220 Tibetan sheep from the Qinghai-Tibetan Plateau

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年12月6日

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  • Zengkui Lu,
  • Chao Yuan,
  • Tingting Guo,
  • Fan Wang,
  • Bowei Chen,
  • Jianbin Liu

摘要

The ancient Tibetan sheep breed has been shaped by long-term natural selection and artificial breeding in the Qinghai-Tibet Plateau region. Although their green organic mutton is highly favored by consumers, the low production efficiency of Tibetan sheep has resulted in a persistent supply shortage. Whole-genome sequencing analysis can identify genetic markers and candidate genes associated with important economic traits, which can be used in genomic-assisted breeding to accelerate genetic improvement and increase production efficiency. Here, we report whole-genome sequencing data from 220 Tibetan sheep across 11 populations inhabiting different altitudes, with an average coverage of 6.20X. Over 98.34% of clean reads were successfully mapped to the Tibetan sheep reference genome, identifying approximately 21.10 million high-quality single-nucleotide polymorphisms. This dataset provides a valuable resource for studying the genetic diversity and adaptability of Tibetan sheep, and may accelerate improvements in genetic traits.