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Molecular data reveal a structured puma (Puma concolor) population in northern Patagonia, Argentina

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Understanding population structure and spatial distribution of genetic diversity is an important aspect of developing appropriate management plans for wildlife conservation, especially for large carnivores like the puma (Puma concolor).… Click to show full abstract

Understanding population structure and spatial distribution of genetic diversity is an important aspect of developing appropriate management plans for wildlife conservation, especially for large carnivores like the puma (Puma concolor). Human persecution and habitat degradation represent the main threats to the species’ conservation in Argentina, where its population genetics has been only marginally explored, and conflict with livestock is mainly managed by legally harvesting pumas. Combining microsatellite genotyping and mitochondrial DNA sequencing, we investigated patterns of puma population diversity and genetic structure in an area of northern Patagonia heavily disturbed by anthropogenic activities. Moreover, we explored effective population size and functional connectivity to assess if recent habitat modifications might have influenced puma genetics. Our results suggest the presence of two genetic clusters (based on microsatellites) and two different haplotypes, which exhibited a similar geographic separation. Despite the observed pattern of a decrease in genetic association among individuals with increasing geographic distance, we found asymmetric gene flow and non-homogeneously distributed diversity among populations, which could be explained by the effect of human disturbance on puma dispersal capacity. The low-density estimate and the sign of a recent significant bottleneck reinforce our inference. This research contributes to the basic knowledge of puma genetics required for planning conservation strategies that aim to ensure species persistence in northern Patagonia.

Keywords: puma puma; puma; genetics; northern patagonia; population

Journal Title: Mammalian Biology
Year Published: 2021

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