Genomics reveals introgression and purging of deleterious mutations in the Arabian leopard (Panthera pardus nimr)

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  • Gabriel Riaño
  • Fontsere Alemany, Claudia
  • Marc de Manuel
  • Adrián Talavera
  • Bernat Burriel-Carranza
  • Héctor Tejero-Cicuéndez
  • Raed Hamoud M. AlGethami
  • Mohammed Shobrak
  • Tomas Marques-Bonet
  • Salvador Carranza
Low genetic variation and high levels of inbreeding are usually a consequence of recent population declines in endangered species. From a conservation point of view, it is essential to genetically screen endangered populations to help assess their vulnerability to extinction and to properly create informed management actions towards their conservation efforts. The leopard, Panthera pardus, is a highly generalist predator with currently eight different subspecies inhabiting a wide range of habitats. Yet, genomic data is still lacking for the Critically Endangered Arabian leopard (P. p. nimr). Here, we sequenced the whole genome of two specimens of Arabian leopard and assembled the most complete genomic dataset for leopards to date, including genomic data for all current subspecies. Our phylogenomic analyses show that leopards are divided into two deeply divergent clades, one including the only African subspecies and a second one including all seven subspecies of Asian leopards. Interestingly, the Arabian leopard represents a well-differentiated lineage sister to the rest of Asian subspecies. The demographic history, genomic diversity, Runs of Homozygosity (RoHs), and mutational load in the Arabian leopard indicate a prolonged population decline, which has led to an increase in inbreeding and RoHs, with consequent purging of deleterious mutations. Our study represents the first attempt to genetically inform captive breeding programs for this Critically Endangered subspecies. Still, more genomes, particularly from wild individuals, are needed to fully characterise the genetic makeup of this singular and iconic subspecies.
Original languageEnglish
PublisherbioRxiv
Number of pages41
DOIs
Publication statusPublished - 2022

ID: 339133655