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Natural hybridization reduces vulnerability to climate change

Author

Listed:
  • Chris J. Brauer

    (Flinders University)

  • Jonathan Sandoval-Castillo

    (Flinders University)

  • Katie Gates

    (Flinders University)

  • Michael P. Hammer

    (Natural Sciences, Museum and Art Gallery of the Northern Territory)

  • Peter J. Unmack

    (University of Canberra)

  • Louis Bernatchez

    (Université Laval)

  • Luciano B. Beheregaray

    (Flinders University)

Abstract

Under climate change, species unable to track their niche via range shifts are largely reliant on genetic variation to adapt and persist. Genomic vulnerability predictions are used to identify populations that lack the necessary variation, particularly at climate-relevant genes. However, hybridization as a source of novel adaptive variation is typically ignored in genomic vulnerability studies. We estimated environmental niche models and genomic vulnerability for closely related species of rainbowfish (Melanotaenia spp.) across an elevational gradient in the Australian Wet Tropics. Hybrid populations between a widespread generalist and several narrow range endemic species exhibited reduced vulnerability to projected climates compared to pure narrow endemics. Overlaps between introgressed and adaptive genomic regions were consistent with a signal of adaptive introgression. Our findings highlight the often-underappreciated conservation value of hybrid populations and indicate that adaptive introgression may contribute to evolutionary rescue of species with narrow environmental ranges.

Suggested Citation

  • Chris J. Brauer & Jonathan Sandoval-Castillo & Katie Gates & Michael P. Hammer & Peter J. Unmack & Louis Bernatchez & Luciano B. Beheregaray, 2023. "Natural hybridization reduces vulnerability to climate change," Nature Climate Change, Nature, vol. 13(3), pages 282-289, March.
    • Handle: RePEc:nat:natcli:v:13:y:2023:i:3:d:10.1038_s41558-022-01585-1
    DOI: 10.1038/s41558-022-01585-1
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    References listed on IDEAS

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    1. Joseph K Pickrell & Jonathan K Pritchard, 2012. "Inference of Population Splits and Mixtures from Genome-Wide Allele Frequency Data," PLOS Genetics, Public Library of Science, vol. 8(11), pages 1-17, November.
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