Supporting Data for: Fish Show Genetic Evolutionary Responses to River Regulation

DOI

Eco-hydraulics traditionally aims at managing riverine systems in a semi-natural state while meeting human demands, assuming aquatic species are evolutionarily static. However, evidence of rapid evolution suggests that ignoring evolutionary dynamics of fish species might limit long-term effectiveness of eco-hydraulics frameworks. It remains unclear how freshwater fish adapt to human perturbation. Why are some fish populations more resilient to human perturbation than others? What are the genetic mechanisms behind it? To answer these questions, we genotyped eleven populations of three-spined stickleback in a regulated river system and collected data on river morphology, connectivity, flow regimes, physico-chemistry and parasite abundance through a combination of field surveys and modelling. Gene-environment association analysis detected strong signals of genetic divergence associated with hydraulic features. Gene ontology analysis revealed evolutionary responses that primarily involve functions in the nervous and sensory systems. These findings demonstrate that fish can evolve in response to river regulation, highlighting the need to transition from eco-hydraulics toward eco-evo-hydraulics. Our results can currently be accessed through a non-peer-reviewed bioRxiv preprint at Cai and Deflem et al. (2025), Fish Show Genetic Evolutionary Responses to River Regulation (DOI: 10.1101/2025.08.01.668107). This supporting dataset includes Genotyping-by-Sequencing data from 14 populations of three-spined stickleback collected in 2017 from the Demer Basin, Belgium, together with parasite and habitat data from the paired sampling sites. After quality filtering, 11 populations were retained and analyzed in Cai and Deflem et al. (2025).

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Identifier
DOI https://doi.org/10.18710/AVG3AU
Related Identifier IsCitedBy https://doi.org/10.1101/2025.08.01.668107
Metadata Access https://dataverse.no/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.18710/AVG3AU
Provenance
Creator Cai, Xiatong ORCID logo; Deflem, Io S. ORCID logo; Rennie, Colin D. ORCID logo; De Meester, Joke ORCID logo; Willems, Patrick ORCID logo; Hendry, Andrew P. ORCID logo; Calboli, Federico C.F. ORCID logo; Hellemans, Bart ORCID logo; Volckaert, Filip A.M. ORCID logo; Raeymaekers, Joost A.M. ORCID logo
Publisher DataverseNO
Contributor Cai, Xiatong; Nord University; Maes, Tim; Van Criekingen, Jimmy; Schols, Ruben; Maes, Sarah; Reyns, Wouter; Van Belleghem, Steven; Gante, Hugo
Publication Year 2025
Funding Reference Natural Sciences and Engineering Research Council of Canada ; Young Research Talents grant of Nord University ; Research Foundation Flanders ; Ontario Graduate Scholarship ; University of Ottawa International Experience Scholarships ; uOGlobal Power Corporation of Canada Scholarships
Rights CC0 1.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/publicdomain/zero/1.0
OpenAccess true
Contact Cai, Xiatong (Nord University)
Representation
Resource Type Genetic data; Dataset
Format text/plain; text/comma-separated-values; text/x-vcard
Size 19738; 28176; 430995286
Version 1.0
Discipline Earth and Environmental Science; Environmental Research; Geosciences; Natural Sciences
Spatial Coverage (4.693W, 50.641S, 5.574E, 50.969N)