Persistent Identifier
|
doi:10.18710/AVG3AU |
Publication Date
|
2025-09-01 |
Title
| Supporting Data for: Fish Show Genetic Evolutionary Responses to River Regulation |
Author
| Cai, Xiatong (Faculty of Biosciences and Aquaculture, Nord University; Department of Civil Engineering, University of Ottawa) - ORCID: 0000-0003-0731-2181
Deflem, Io S. (Research Institute for Nature and Forest (INBO)) - ORCID: 0000-0002-9302-5367
Rennie, Colin D. (Department of Civil Engineering, University of Ottawa) - ORCID: 0000-0003-0683-1932
De Meester, Joke (Hydraulics and Geotechnics Section, KU Leuven; Flanders Hydraulics Research, Department of Mobility and Public Works, Flemish Government) - ORCID: 0000-0002-8969-6520
Willems, Patrick (Hydraulics and Geotechnics Section, KU Leuven) - ORCID: 0000-0002-7085-2570
Hendry, Andrew P. (Department of Biology, Redpath Museum, McGill University) - ORCID: 0000-0002-4807-6667
Calboli, Federico C.F. (Natural Resources Institute Finland) - ORCID: 0000-0003-3176-9085
Hellemans, Bart (Laboratory of Biodiversity and Evolutionary Genomics, KU Leuven) - ORCID: 0000-0001-5963-8074
Volckaert, Filip A.M. (Laboratory of Biodiversity and Evolutionary Genomics, KU Leuven) - ORCID: 0000-0003-4342-4295
Raeymaekers, Joost A.M. (Faculty of Biosciences and Aquaculture, Nord University) - ORCID: 0000-0003-2732-7495 |
Point of Contact
|
Use email button above to contact.
Cai, Xiatong (Nord University) |
Description
| 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). (2025-08-25) |
Subject
| Earth and Environmental Sciences |
Keyword
| Eco-hydraulics
Eco-evo-hydraulics
Regulated river system
Evolutionary responses
Evolution
Adaptive potential
Three-spined stickleback
Conservation genomics
Belgium
Single-nucleotide polymorphism (SNP)
Genotyping-by-Sequencing
River channel morphology
River discharge
River sinuosity
River barriers
Water average conductivity
Average chemical oxygen demand
Average pH
Average dissolved oxygen concentration
Average temperature
Gyrodactylus sp.
Trichodina sp.
Glugea anomala
Gasterosteus aculeatus
Belgium
Demer River |
Related Publication
| Cai, X., I. Deflem, C. D. Rennie, J. De Meester, P. Willems, A. P. Hendry, F. C. F. Calboli, B. Hellemans, F. A. M. Volckaert, and J. A. M. Raeymaekers. (2025). Fish Show Genetic Evolutionary Responses to River Regulation. bioRxiv (preprint), https://doi.org/10.1101/2025.08.01.668107 doi: 10.1101/2025.08.01.668107 https://www.biorxiv.org/content/10.1101/2025.08.01.668107v1 |
Language
| English |
Producer
| Nord University (NORD) https://www.nord.no/en/ |
Contributor
| Data Collector : Maes, Tim
Data Collector : Van Criekingen, Jimmy
Data Collector : Schols, Ruben
Data Collector : Maes, Sarah
Data Collector : Reyns, Wouter
Other : Van Belleghem, Steven
Other : Gante, Hugo |
Funding Information
| 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 |
Distributor
| Nord University (NORD) https://dataverse.no/dataverse/nord |
Depositor
| Cai, Xiatong |
Deposit Date
| 2025-08-12 |
Time Period
| Start Date: 2017-01-01 ; End Date: 2023-12-31 |
Data Type
| Genetic data; Environmental and ecological field data; Hydrological and geospatial data; Simulation/modelling data; Derived analytical data |
Software
| FastQC, Version: v0.11.9
Stacks, Version: v2.54
BWA, Version: v0.7.17
GATK, Version: v4.2.0.0
VCFtools, Version: v0.1.16
PLINK, Version: v2.00a3.1 |