4.6 Article

Demographic history and conservation genomics of caribou (Rangifer tarandus) in Quebec

Journal

EVOLUTIONARY APPLICATIONS
Volume 15, Issue 12, Pages 2043-2053

Publisher

WILEY
DOI: 10.1111/eva.13495

Keywords

ancestral varaiation; effective population size; genetic diversity; threatened; ungulates

Funding

  1. Compute Canada
  2. Genome Canada
  3. Natural Sciences and Engineering Research Council of Canada

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This study assessed the genetic diversity of five caribou populations using genomics analysis and argues for the consideration of ancestral effective population size and Tajima's D in conservation decision-making.
The loss of genetic diversity is a challenge many species are facing, with genomics being a potential tool to inform and prioritize decision-making. Most caribou (Rangifer tarandus) populations have experienced significant recent declines throughout Quebec, Canada, and are considered of concern, threatened or endangered. Here, we calculated the ancestral and contemporary patterns of genomic diversity of five representative caribou populations and applied a comparative population genomics framework to assess the interplay between demographic events and genomic diversity. We first calculated a caribou specific mutation rate, mu, by extracting orthologous genes from related ungulates and estimating the rate of synonymous mutations. Whole genome re-sequencing was then completed on 67 caribou: from these data we calculated nucleotide diversity, theta(pi) and estimated the coalescent or ancestral effective population size (N-e), which ranged from 12,030 to 15,513. When compared to the census size, N-C, the endangered Gaspesie Mountain caribou population had the highest ancestral N-e:N-C ratio which is consistent with recent work suggesting high ancestral N-e:N-C is of conservation concern. In contrast, values of contemporary N-e, estimated from linkage-disequilibrium, ranged from 11 to 162, with Gaspesie having among the highest contemporary N-e:N-C ratio. Importantly, classic conservation genetics theory would predict this population to be of less concern based on this ratio. Interestingly, F varied only slightly between populations, and despite evidence of bottlenecks across the province, runs of homozygosity were not abundant in the genome. Tajima's D estimates mirrored the demographic models and current conservation status. Our study highlights how genomic patterns are nuanced and potentially misleading if viewed only through a contemporary lens; we argue a holistic conservation genomics view should integrate ancestral N-e and Tajima's D into management decisions.

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