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Whole genome sequences of 70 indigenous Ethiopian cattle

  • Wondossen Ayalew
  • , Wu Xiaoyun
  • , Getinet Mekuriaw Tarekegn
  • , Rakan Naboulsi
  • , Tesfaye Sisay Tessema
  • , Renaud Van Damme
  • , Erik Bongcam-Rudloff
  • , Min Chu
  • , Chunnian Liang
  • , Zewdu Edea
  • , Solomon Enquahone
  • , Yan Ping

Publication: Contribution to journalJournal articlepeer-review

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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.
Original languageEnglish
Article number584
Number of pages7
JournalScientific Data
Volume11
Issue number1
DOIs
Publication statusPublished - 2024

Bibliographical note

Publisher Copyright:
© The Author(s) 2024.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 2 - Zero Hunger
    SDG 2 Zero Hunger

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