ArticleScientific data2024
Whole genome sequences of 70 indigenous Ethiopian cattle.
Article in Scientific data, 2024. 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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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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Who cites it
3 citing papers in PubMed.
- Genomic signals on the X chromosome reveal local adaptations in Ethiopian cattle.BMC genomics · 2026Article
- Whole-genome variant of 220 Tibetan sheep from the Qinghai-Tibetan Plateau.Scientific data · 2025Article
- Whole-genome sequencing of copy number variation analysis in Ethiopian cattle reveals adaptations to diverse environments.BMC genomics · 2024Article
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Authors and funding
12 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Indigenous animal genetic resources play a crucial role in preserving global genetic diversity and supporting the livelihoods of millions of people. In Ethiopia, the majority of the cattle population consists of indigenous breeds. Understanding the genetic architecture of these cattle breeds is essential for effective management and conservation efforts. In this study, we sequenced DNA samples from 70 animals from seven indigenous cattle breeds, generating about two terabytes of pair-end reads with an average coverage of 14X. The sequencing data were pre-processed and mapped to the cattle reference genome (ARS-UCD1.2) with an alignment rate of 99.2%. Finally, the variant calling process produced approximately 35 million high-quality SNPs. These data provide a deeper understanding of the genetic landscape, facilitate the identification of causal mutations, and enable the exploration of evolutionary patterns to assist cattle improvement and sustainable utilization, particularly in the face of unpredictable climate changes.
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