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<p>Indigenous cattle are central to livestock production in Africa, valued for their adaptability to harsh tropical environments despite lower productivity than commercial breeds. Genome analyses offer critical insights into the genetic potential for enhancing both resilience and productive traits, supporting the advancement of worldwide cattle farming systems. Here, we generated whole-genome sequence data for 240 indigenous cattle representing breeds from distinct agro-climatic regions in Egypt, Uganda, and South Africa. The dataset comprises over ten terabytes of paired-end reads generated using the Illumina NovaSeq. 6000 platform, with an average genome coverage of approximately 10×. Post-filtering reads were mapped to the ARS-UCD1.2 reference genome with a mean mapping rate of 99.2% (range: 64.5–99.9%). Variant calling identified ~43 million SNPs and 6 million indels (≤50 bp) unevenly distributed across the genome. Functional annotation indicated that many variants were located within or near known genes. This comprehensive genomic resource provides a foundation for future studies of genetic diversity, breed identity, population structure, local adaptation, breed-specific traits, or strategies for global cattle conservation.</p>

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Whole-genome sequences of 240 indigenous African cattle from Egypt, Uganda, and South Africa

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年5月19日

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  • Njabulo Dlamini,
  • Junxin Gao,
  • Catarina Ginja,
  • Juha Kantanen,
  • Nasser Ghanem,
  • Donald R. Kugonza,
  • Mahlako Makgahlela,
  • Ahmed Elnahas,
  • Avhashoni Zwane,
  • Barbara Mugwanya Zawedde,
  • Christine Nakkazi,
  • Generous Behabura,
  • Khaniysani Nxumalo,
  • Maano Malima,
  • Mohamed Ali Radwan,
  • Mohamed Hamada Elsawy,
  • Morris Agaba,
  • Nadia Hamdi Fahim,
  • Rana Atef Khfagy,
  • Rania Agamy,
  • Rodney Okwasiimire,
  • Sarah Waibi,
  • Simon Lashmar,
  • Richard P. M. A. Crooijmans

摘要

Indigenous cattle are central to livestock production in Africa, valued for their adaptability to harsh tropical environments despite lower productivity than commercial breeds. Genome analyses offer critical insights into the genetic potential for enhancing both resilience and productive traits, supporting the advancement of worldwide cattle farming systems. Here, we generated whole-genome sequence data for 240 indigenous cattle representing breeds from distinct agro-climatic regions in Egypt, Uganda, and South Africa. The dataset comprises over ten terabytes of paired-end reads generated using the Illumina NovaSeq. 6000 platform, with an average genome coverage of approximately 10×. Post-filtering reads were mapped to the ARS-UCD1.2 reference genome with a mean mapping rate of 99.2% (range: 64.5–99.9%). Variant calling identified ~43 million SNPs and 6 million indels (≤50 bp) unevenly distributed across the genome. Functional annotation indicated that many variants were located within or near known genes. This comprehensive genomic resource provides a foundation for future studies of genetic diversity, breed identity, population structure, local adaptation, breed-specific traits, or strategies for global cattle conservation.