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.

The authors estimate genomic vulnerability for closely related species of rainbowfish. They find that narrow endemic species that have hybridized with a warm-adapted generalist show reduced vulnerability to climate change and that hybridization may facilitate evolutionary rescue for such species.

Details

Title
Natural hybridization reduces vulnerability to climate change
Author
Brauer, Chris J. 1   VIAFID ORCID Logo  ; Sandoval-Castillo, Jonathan 1   VIAFID ORCID Logo  ; Gates, Katie 1   VIAFID ORCID Logo  ; Hammer, Michael P. 2   VIAFID ORCID Logo  ; Unmack, Peter J. 3   VIAFID ORCID Logo  ; Bernatchez, Louis 4   VIAFID ORCID Logo  ; Beheregaray, Luciano B. 1   VIAFID ORCID Logo 

 Flinders University, Molecular Ecology Lab, Bedford Park, Australia (GRID:grid.1014.4) (ISNI:0000 0004 0367 2697) 
 Natural Sciences, Museum and Art Gallery of the Northern Territory, Darwin, Australia (GRID:grid.1014.4) 
 University of Canberra, Institute for Applied Ecology, Canberra, Australia (GRID:grid.1039.b) (ISNI:0000 0004 0385 7472) 
 Université Laval, Institut de Biologie Intégrative et des Systèmes, Quebec City, Canada (GRID:grid.23856.3a) (ISNI:0000 0004 1936 8390) 
Pages
282-289
Publication year
2023
Publication date
Mar 2023
Publisher
Nature Publishing Group
ISSN
1758678X
e-ISSN
17586798
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2785499428
Copyright
© The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.