ArticleScientific data2025
Whole-genome sequencing resources of 301 indigenous Tibetan sheep from the Himalayan region.
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 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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1 citing paper in PubMed.
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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