A mitochondrial genetic divergence proxy predicts the reproductive compatibility of mammalian hybrids

Research output: Contribution to journalJournal articleResearchpeer-review

  • Richard Allen
  • Hannah Ryan
  • Brian W. Davis
  • Charlotte King
  • Laurent Frantz
  • Irving-Pease, Evan
  • Ross Barnett
  • Anna Linderholm
  • Liisa Loog
  • James Haile
  • Ophelie Lebrasseur
  • Mark White
  • Andrew C. Kitchener
  • William J. Murphy
  • Greger Larson

Numerous pairs of evolutionarily divergent mammalian species have been shown to produce hybrid offspring. In some cases, F(1)hybrids are able to produce F(2)s through matings with F(1)s. In other instances, the hybrids are only able to produce offspring themselves through backcrosses with a parent species owing to unisexual sterility (Haldane's Rule). Here, we explicitly tested whether genetic distance, computed from mitochondrial and nuclear genes, can be used as a proxy to predict the relative fertility of the hybrid offspring resulting from matings between species of terrestrial mammals. We assessed the proxy's predictive power using a well-characterized felid hybrid system, and applied it to modern and ancient hominins. Our results revealed a small overlap in mitochondrial genetic distance values that distinguish species pairs whose calculated distances fall within two categories: those whose hybrid offspring follow Haldane's Rule, and those whose hybrid F(1)offspring can produce F(2)s. The strong correlation between genetic distance and hybrid fertility demonstrated here suggests that this proxy can be employed to predict whether the hybrid offspring of two mammalian species will follow Haldane's Rule.

Original languageEnglish
Article number20200690
JournalPhilosophical Transactions of the Royal Society B: Biological Sciences
Volume287
Issue number1928
Number of pages7
ISSN0962-8452
DOIs
Publication statusPublished - 2020

    Research areas

  • evolution, genetic distance, gene flow, hybrid, POSTZYGOTIC ISOLATION, GENOME SEQUENCE, MODERN HUMANS, NEANDERTHAL, EVOLUTION, FLOW, SPECIATION, PATTERNS, DNA, INTROGRESSION

ID: 247447965