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

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.

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Publication Details

Journal
Scientific Data
Published
2025-08-04
DOI
https://doi.org/10.1038/s41597-025-05650-0
Citations
1
Primary Topic
Genomics and Phylogenetic Studies
Type
article
Field-Weighted Citation Impact
0.81
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article

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

Yongju Zhao, Luobu Gesang, Hong Miao, Jikang Zheng et al.
1 citations
Scientific Data
Genomics and Phylogenetic Studies
0.81
article

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

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

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.

Scientific DataVol. 12(1)
Tibet University (CN), Southwest University (CN)
Zero hunger
Openalex Percentile: Top 25%
Genomics and Phylogenetic Studies
0.81
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Whole-genome sequencing resources of 301 indigenous Tibetan sheep from the Himalayan region — Yongju Zhao, Luobu Gesang, et al. · Scientific Data (2025) | TGRS Research Map | TGRS