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Whole Genomes Inform Genetic Rescue Strategy for Montane Red Foxes in North America
Cate B Quinn1,2,3, Sophie Preckler-Quisquater1, Michael R Buchalski2
1Mammalian Ecology and Conservation Unit, Veterinary Genetics Laboratory, School of Veterinary Medicine, University of California, Davis, Davis, CA, USA.
Facilitated gene flow can aid endangered red foxes by reducing inbreeding depression. Genomic data suggest low risk of outbreeding depression, supporting translocations for species recovery.
Area of Science:
- Conservation Genetics
- Population Genomics
- Wildlife Ecology
Background:
- Facilitated gene flow is crucial for managing inbreeding depression and preventing extinction in endangered species.
- However, the risk of outbreeding depression often deters its implementation in conservation strategies.
Purpose of the Study:
- To assess the risks and benefits of using translocations for the recovery of endangered montane red fox (Vulpes vulpes) populations in the western United States.
- To evaluate the potential for inbreeding and outbreeding depression in isolated red fox populations.
Main Methods:
- Genomic sequencing to analyze genetic diversity and inbreeding.
- Climatic niche modeling to understand population connectivity.
- Demographic reconstruction to infer population history and divergence.
Main Results:
- Elevated inbreeding and homozygosity of deleterious alleles were observed in all studied montane red fox populations, particularly those in the Cascade and Sierra Nevada ranges.
- Demographic reconstructions revealed shallow genetic divergences (less than a few thousand years) among these populations.
- Translocations are predicted to enhance population growth by masking deleterious recessive alleles.
Conclusions:
- Genomic data indicate that translocations are likely to benefit endangered montane red fox populations by alleviating inbreeding depression with minimal risk of outbreeding depression.
- These findings provide a genomic-guided framework for red fox recovery and can serve as a model for other data-deficient taxa.
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