Abstract
Urbanisation is rapidly altering ecosystems, leading to profound biodiversity loss. To mitigate these effects, we need a better understanding of how urbanisation impacts dispersal and reproduction. Two contrasting population demographic models have been proposed that predict that urbanisation either promotes (facilitation model) or constrains (fragmentation model) gene flow and genetic diversity. Which of these models prevails likely depends on the strength of selection on specific phenotypic traits that influence dispersal, survival, or reproduction. Here, we a priori examined the genomic impact of urbanisation on the Neotropical túngara frog (Engystomops pustulosus), a species known to adapt its reproductive traits to urban selective pressures. Using whole-genome resequencing for multiple urban and forest populations we examined genomic diversity, population connectivity and demographic history. Contrary to both the fragmentation and facilitation models, urban populations did not exhibit substantial changes in genomic diversity or differentiation compared with forest populations, and genomic variation was best explained by geographic distance rather than environmental factors. Adopting an a posteriori approach, we additionally found both urban and forest populations to have undergone population declines. The timing of these declines appears to coincide with extensive human activity around the Panama Canal during the last few centuries rather than recent urbanisation. Our study highlights the long-lasting legacy of past anthropogenic disturbances in the genome and the importance of considering the historical context in urban evolution studies as anthropogenic effects may be extensive and impact nonurban areas on both recent and older timescales.
Original language | English |
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Article number | e17258 |
Journal | Molecular ecology |
Volume | 33 |
Issue number | 4 |
Early online date | 28 Dec 2023 |
DOIs | |
Publication status | Published - Feb 2024 |
Bibliographical note
© 2023 The Authors. Molecular Ecology published by John Wiley & Sons Ltd.Funding
We are grateful to Michiel Blaas, Lars Kramer, Nadia Hijner and Sandra Goutte for collecting samples (& field data) and Mike Bethlem for assisting with DNA extractions. We thank the VU IT department, in particular Peter Stol, for logistical support with the BAZIS computer cluster. Austin Mudd and Mike Ryan provided early access to the túngara reference genome. The research was funded through an ERC‐Starting Grant (CITISENSE: 802460) to W.H.
Funders | Funder number |
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VU IT department | |
European Research Council | 802460 |