Julia Clarke

and 2 more

Biodiversity loss has reached critical levels due in part to anthropogenic habitat loss and degradation. These landscape changes are particularly damaging as they can result in fragmenting species distributions into small and isolated populations, resulting in limited gene flow, population declines and reduced adaptive potential. Genetic rescue, the translocation of individuals for the purpose of restoring gene flow, has been shown to produce promising results for fragmented populations but remains relatively under-used due to a lack of long-term data and monitoring of genetic rescue attempts. To promote a better understanding of genetic rescue and its potential risks and benefits over the short-term, we reviewed and analyzed all genetic rescue attempts to date to identify whether genetic diversity increases following rescue, and if this change is associated with increased fitness. Our review identified only 19 genetic rescue studies, that included experimental, natural, and conservation motivated, with the majority of studies being on mammals. We used a Bayesian meta-analytical approach to examine the relationship between fitness and genetic diversity. We found that genetic diversity, as represented by heterozygosity, was a positive predictor of population fitness, and this relationship extended to the third-generation post-rescue. These data suggest a single introduction can have lasting fitness benefits, supporting translocation as another tool to ensure conservation success. Given the limited number of studies with long-term data, we echo the need for genetic monitoring of translocations to ascertain whether genetic rescue may also limit the loss of adaptive potential in the long-term.

René Malenfant

and 13 more

Single-nucleotide polymorphisms (SNPs) have numerous advantages over microsatellites, including greater power to infer population structure and history and to detect loci undergoing selection. Here, we conduct the first continental-level SNP study of polar bears (Ursus maritimus) using genotypes from an array of 5441 SNP loci genotyped in 16–30 polar bears sampled in each of 16 geographic regions in Canada and West Greenland. Our study aimed to assess population history and genetic structure and to identify evidence of adaptive loci. Using these data, we confirmed the existence of four broad-scale genetic clusters in North America (FCT = 0.035) and identified nine fine-scale subclusters using more powerful spatial methods. An assessment of historical patterns of migration suggests that polar bears migrated into North America from the Beaufort Sea after the last glacial maximum. Using a conservative approach, we identified 17 loci that may represent adaptive variation, including one SNP in the 3’ untranslated region of PDLIM5 (PDZ And LIM Domain 5), a gene involved in cardiovascular function, which has undergone substantial selection in polar bears since their divergence from brown bears. Outlier loci differentiated the Norwegian Bay genetic cluster more strongly from remaining clusters than did our complete dataset, suggesting possible adaptive differences in the High Arctic. Through careful consideration of SNP loci, sample inclusion, and analytical approaches, we provide a comprehensive picture of polar bear population structure at a continental level. This study provides a model for the analysis of wide-ranging species that can contribute to their conservation and management.