A cattle graph genome incorporating global breed diversity

Andrea Talenti, Jessica Powell, Hanneke Hemmink, E.A.J. Cook,, David Wragg, Siddharth Jayaraman, Edith Paxton, C Ezeasor, E.T Obishakin, E.R Agusi, Abdulfatai Tijjani, K Marshall, Andressa Fisch, B.R. Ferreira, Qasim Ali, Umer Chaudhry, Pam Wiener, P. G. Toye, Liam Morrison, Tim ConnelleyJames Prendergast

Research output: Contribution to journalArticlepeer-review

Abstract / Description of output

Despite only 8% of cattle being found in Europe, European breeds dominate current genetic resources. This adversely impacts cattle research in other important global cattle breeds, especially those from Africa for which genomic resources are particularly limited, despite their disproportionate importance to the continent’s economies. To mitigate this issue, we have generated assemblies of African breeds, which have been integrated with genomic data for 294 diverse cattle into a graph genome that incorporates global cattle diversity. We illustrate how this more representative reference assembly contains an extra 116.1Mb (4.2%) of sequence absent from the current Hereford sequence and consequently inaccessible to current studies. We further demonstrate how using this graph genome increases read mapping rates, reduces allelic biases and improves the agreement of structural variant calling with independent optical mapping data. Consequently, we present an improved, more representative, reference assembly that will improve global cattle research
Original languageEnglish
Article number910
JournalNature Communications
Issue number1
Early online date17 Feb 2022
Publication statusE-pub ahead of print - 17 Feb 2022

Keywords / Materials (for Non-textual outputs)

  • cattle
  • graph
  • genome
  • global
  • breed
  • diversity


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