open access publication

Letter, 2021

Using singleton densities to detect recent selection in Bos taurus

Evolution Letters, ISSN 2056-3744, Volume 5, 6, Pages 595-606, 10.1002/evl3.263

Contributors

Hartfield M. 0000-0001-6941-0647 (Corresponding author) [1] [2] Poulsen N.A. 0000-0001-9983-9663 [2] Guldbrandtsen B. 0000-0003-1764-135X [2] [3] [4] Bataillon T. 0000-0002-4730-2538 [2]

Affiliations

  1. [1] University of Edinburgh
  2. [NORA names: United Kingdom; Europe, Non-EU; OECD];
  3. [2] Aarhus University
  4. [NORA names: AU Aarhus University; University; Denmark; Europe, EU; Nordic; OECD];
  5. [3] University of Bonn
  6. [NORA names: Germany; Europe, EU; OECD];
  7. [4] University of Copenhagen
  8. [NORA names: KU University of Copenhagen; University; Denmark; Europe, EU; Nordic; OECD]

Abstract

Many quantitative traits are subject to polygenic selection, where several genomic regions undergo small, simultaneous changes in allele frequency that collectively alter a phenotype. The widespread availability of genome data, along with novel statistical techniques, has made it easier to detect these changes. We apply one such method, the “Singleton Density Score” (SDS), to the Holstein breed of Bos taurus to detect recent selection (arising up to around 740 years ago). We identify several genes as candidates for targets of recent selection, including some relating to cell regulation, catabolic processes, neural-cell adhesion and immunity. We do not find strong evidence that three traits that are important to humans—milk protein content, milk fat content, and stature—have been subject to directional selection. Simulations demonstrate that because B. taurus recently experienced a population bottleneck, singletons are depleted so the power of SDS methods is reduced. These results inform on which genes underlie recent genetic change in B. taurus, while providing information on how polygenic selection can be best investigated in future studies.

Keywords

Bos taurus, genomics, milk fat, milk protein, selection, stature

Funders

  • Seventh Framework Programme
  • Faculty of Science and Technology
  • Natural Environment Research Council
  • Aarhus Universitet
  • Seventh Framework Programme
  • FP7/20072013
  • European Research Council

Data Provider: Elsevier