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来自喜马拉雅地区的301只西藏本土绵羊的全基因组测序资源。

Whole-genome sequencing resources of 301 indigenous Tibetan sheep from the Himalayan region.

作者信息

Zhang Jipan, Zhang Yangshen, Wang Mengying, Luobu Gesang, Duoji Zhaxi, Pubu Ciren, Zheng Jikang, Miao Hong, Zhao Yongju

机构信息

College of Animal Science and Technology, Southwest University, Chongqing, 400715, China.

Chongqing Key Laboratory of Herbivore Science, Chongqing, 400715, China.

出版信息

Sci Data. 2025 Aug 4;12(1):1351. doi: 10.1038/s41597-025-05650-0.

Abstract

Compared to commercial sheep breeds, Tibetan sheep are exceptionally productive in high-altitude environments. Whole-genome sequencing can elucidate the genetic markers and candidate genes related to such economic traits, greatly accelerating the breeding progress. However, a lack of genome sequence data has hindered the functional gene dissection and genetic improvement of Tibetan sheep. This study presents whole-genome sequencing data from 301 Gamba sheep, a Tibetan national breed raised in extremely high-altitude regions. The data represents 12.3 Tb paired-end sequences generated on a BGI-T7 platform. An average sequencing depth of 13.8X, an average mapping ratio of 94.0%, and an average genome coverage of 99.6% illustrated the high quality of the sequence data. By aligning the sequence data to the sheep reference genome ARS-UI_Ramb_v3.0 with variants filtration, 39,718,985 single nucleotide polymorphisms (SNPs) and 5,275,473 insertions-deletions (InDels) were obtained. Genetic kinship analysis indicated the sample independence and high quality of the selected individuals. This whole-genome dataset significantly enriches public resources for studying the genetic diversity, genomic selection, and environmental adaptations of sheep.

摘要

与商业绵羊品种相比,藏羊在高海拔环境中具有极高的生产性能。全基因组测序能够阐明与这类经济性状相关的遗传标记和候选基因,极大地加速育种进程。然而,基因组序列数据的缺乏阻碍了藏羊功能基因解析和遗传改良。本研究展示了301只岗巴羊的全基因组测序数据,岗巴羊是一种在极高海拔地区饲养的西藏本土品种。这些数据代表了在BGI-T7平台上生成的12.3 Tb双端序列。平均测序深度为13.8X,平均比对率为94.0%,平均基因组覆盖率为99.6%,表明序列数据质量很高。通过将序列数据与绵羊参考基因组ARS-UI_Ramb_v3.0进行比对并进行变异过滤,获得了39,718,985个单核苷酸多态性(SNP)和5,275,473个插入缺失(InDel)。遗传亲缘关系分析表明所选个体具有样本独立性和高质量。这个全基因组数据集显著丰富了用于研究绵羊遗传多样性、基因组选择和环境适应性的公共资源。

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