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Deakin, S.

Publications and source records attributed to Deakin, S..

3 recordsLinked to original sources

Inbreeding and demographic history of caribou (Rangifer tarandus) in western Canada inferred from genome-wide SNP data

Assessing genetic diversity is essential for conserving endangered populations, yet comprehensive genomic evaluations remain limited for many declining species. Here, we investigated inbreeding levels and effective population sizes (Ne) of caribou (Rangifer tarandus) in western Canada, where populations have experienced pronounced declines over the past centuries due to anthropogenic pressures and climate change. We analyzed 33,346 Single Nucleotide Polymorphisms (SNPs) from 759 individuals representing 45 subpopulations within six metapopulations to: (1) assess inbreeding using runs of homozygosity (ROHs), (2) estimate contemporary and historical Ne, and (3) evaluate relationships between census size (Nc), inbreeding, and Ne. Small and endangered subpopulations, predominantly in southern regions, generally exhibited high inbreeding (FROH > 0.1), although some larger populations also showed elevated levels. Most subpopulations displayed a mixture of short and long ROHs, indicating both ancient shared ancestry and recent inbreeding. Twelve subpopulations had Ne <50, and 28 subpopulations and all metapopulations had Ne < 500, suggesting compromised short-term viability and long-term adaptive potential. Nc significantly predicted inbreeding (R{superscript 2} = 0.25), whereas contemporary Ne did not. Historical Ne reconstructions revealed a north-to-south gradient in bottleneck timing: northern populations declined in [~]1700-1780, central populations in [~]1780-1860, and southern populations in [~]1860-1940, likely driven by sequential impacts of climate shifts and anthropogenic disturbances. Our findings identify at-risk populations requiring urgent genetic intervention and demonstrate that integrating inbreeding and Ne estimates provides a robust framework for caribou recovery and the management of fragmented wildlife populations.

evolutionary biology↗

Glacial history and landscape features shape the hierarchical population genetic structure of woodland caribou (Rangifer tarandus caribou) in western Canada

Caribou, listed as a species at risk across Canada, have experienced a wide range of evolutionary and selective pressures at multiple scales, from large-scale range shifts and recolonisations driven by glacial cycles to more localized contemporary habitat degradation and fragmentation. Given these multi-scale evolutionary forces, genetic variation and diversity are expected to be hierarchically structured. Characterising hierarchical population structure is crucial to understanding a species evolutionary history and informing effective conservation and management strategies. In this study, we analysed genomic diversity and variation in woodland caribou (Rangifer tarandus caribou) across western Canada using genotypes from [~]33,000 Single Nucleotide Polymorphism (SNP) loci from 759 geo-referenced individuals spanning 45 pre-defined subpopulations. We employed genetic clustering methods and measures of genetic differentiation to characterize hierarchical population structure in the region and tested for latitudinal changes in heterozygosity resulting from post-glacial recolonisation and hybridisation. Our results confirm that woodland caribou genetic diversity and differentiation occur at multiple hierarchical levels, reflecting post-glacial recolonisation patterns and landscape heterogeneity. Notably, the major genetic clusters identified in our study do not align with current conservation units for the species in this region. We also observe elevated heterozygosity in the mid-latitudes of the sampled range, indicative of hybridisation following secondary contact during post-glacial recolonisation. These findings underscore the need to consider and include genetic diversity at all hierarchical levels in conservation planning, as wide-ranging species often experience diverse and complex evolutionary histories and pressures.

evolutionary biology↗

Resolving the evolutionary history of bighorn sheep to inform future management

Although translocations can be effective for augmenting and restoring wild populations, they can disrupt native patterns of genetic structure, diversity, and local adaptation, thereby hampering conservation efforts. Managers must weigh potential costs and benefits of choosing well-differentiated donor individuals that could confer a boost to genetic diversity while avoiding outbreeding depression or ecological mismatch. This decision is more daunting when taxonomy is unclear or debated. For example, bighorn sheep (Ovis canadensis) populations in the United States that have been managed as the "California" lineage (part of the formerly recognized subspecies O. c. californiana) originate from serial translocations sourced from populations in British Columbia, resulting in reduced genetic diversity and elevated risk of inbreeding. After research on skull shape and RFLP analysis of mtDNA failed to find support for that subspecies, some jurisdictions treated the California lineage as part of the Rocky Mountain subspecies (O. c. canadensis) and mixed individuals in subsequent translocations, in part to increase genetic diversity of bottlenecked populations. Yet detailed genetic data addressing validity of those putative lineages were lacking. We reconstructed the genetic history of bighorn sheep by sampling the major putative subspecies or lineages, focusing on native (remnant) genetic variation, and generating high-throughput DNA sequencing data ([~]15,000-25,000 SNPs). Complementary phylogenetic and population genetic analyses supported the distinctiveness of four bighorn lineages at levels corresponding to subspecies. Our results confirm the genetic identity of the no longer putative California bighorn lineage, answering a question that puzzled geneticists and managers for decades. Moving forward, we recommend that managers 1) maintain the natural variation held in native populations by protecting them from intentional translocations or unintentional mixing with nearby populations; 2) prioritize withinlineage translocations for population augmentation or repatriation to previously occupied regions; and 3) cautiously consider any translocations that would lead to mixing of distinct evolutionary lineages.

evolutionary biology↗