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Genomic costs without functional consequences in short-range endemics trapped in evolutionary refugia

Genomic costs without functional consequences in short-range endemics trapped in evolutionary refugia

This is a Preprint and has not been peer reviewed. This is version 1 of this Preprint.

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Authors

Emily Roycroft , Ching Ching Lau, Stephen M Zozaya , Keith Allen Christian , Rhiannon Schembri, Craig Moritz 

Abstract

Species with small geographic ranges are often concentrated in evolutionary refugia, landscapes that support viable populations through significant climate oscillations. Under long-term stable environments and with small population size, species are predicted to evolve narrow climatic tolerances, lose genetic diversity and accumulate harmful mutations. Together, these predictions suggest that short-range endemic species may be highly vulnerable to extinction. Here, we investigate the genomic and evolutionary consequences of persistence in refugia using a radiation of Australian geckos (Gehyra spp.) as a model system. With 82 genomes from eight species, spanning short-range and widespread pairs, we demonstrate the long-term persistence of short-range endemics at sustained small population size. Short-range endemics have lower genomic diversity and higher inbreeding, but do not show excess fixation of harmful mutations compared to their widespread relatives. We find a relative deficit of high-impact mutations in the most inbred species, consistent with purging of strongly deleterious variation. Despite restricted distributions, the physiological tolerances of short-range endemics are highly plastic, and similar to widespread species. Together, these results suggest that species in evolutionary refugia may be no more intrinsically susceptible to extinction than their widespread counterparts. Despite this, short-range species remain highly vulnerable to extinction via extrinsic factors, including catastrophic environmental events.

DOI

https://doi.org/10.32942/X22Q40

Subjects

Biodiversity, Bioinformatics, Evolution, Genomics, Life Sciences, Molecular Genetics

Keywords

environmental change, extinction risk, Gehyra, genetic load, historical demography, reference genome, refugia

Dates

Published: 2026-10-30 14:51

Last Updated: 2026-10-30 14:51

License

CC-By Attribution-NonCommercial-NoDerivatives 4.0 International

Additional Metadata

Data and Code Availability Statement:
Sequencing reads have been deposited in the NCBI Sequence Read Archive under BioProject PRJNA1540017, which will be made public on manuscript acceptance.

Language:
English

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