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Layton KKS, Brieuc MSO, Castilho R, Diaz-Arce N, Estévez-Barcia D, Fonseca VG, Fuentes-Pardo AP, Jeffery NW, Jiménez-Mena B, Junge C, Kaufmann J, Leinonen T, Maes SM, McGinnity P, Reed TE, Reisser CMO, Silva G, Vasemägi A, Bradbury IR. Predicting the future of our oceans-Evaluating genomic forecasting approaches in marine species. Glob Chang Biol 2024; 30:e17236. [PMID: 38519845 DOI: 10.1111/gcb.17236] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/18/2023] [Revised: 02/21/2024] [Accepted: 02/25/2024] [Indexed: 03/25/2024]
Abstract
Climate change is restructuring biodiversity on multiple scales and there is a pressing need to understand the downstream ecological and genomic consequences of this change. Recent advancements in the field of eco-evolutionary genomics have sought to include evolutionary processes in forecasting species' responses to climate change (e.g., genomic offset), but to date, much of this work has focused on terrestrial species. Coastal and offshore species, and the fisheries they support, may be even more vulnerable to climate change than their terrestrial counterparts, warranting a critical appraisal of these approaches in marine systems. First, we synthesize knowledge about the genomic basis of adaptation in marine species, and then we discuss the few examples where genomic forecasting has been applied in marine systems. Next, we identify the key challenges in validating genomic offset estimates in marine species, and we advocate for the inclusion of historical sampling data and hindcasting in the validation phase. Lastly, we describe a workflow to guide marine managers in incorporating these predictions into the decision-making process.
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Affiliation(s)
- K K S Layton
- Department of Biology, University of Toronto Mississauga, Mississauga, Ontario, Canada
- School of Biological Sciences, University of Aberdeen, Aberdeen, UK
| | | | - R Castilho
- University of the Algarve, Faro, Portugal
- Centre for Marine Sciences, University of the Algarve, Faro, Portugal
- Pattern Institute, Faro, Portugal
| | - N Diaz-Arce
- AZTI Marine Research, Basque Research and Technology Alliance (BRTA), Sukarrieta, Spain
| | - D Estévez-Barcia
- Department of Fish and Shellfish, Greenland Institute of Natural Resources, Nuuk, Greenland
| | - V G Fonseca
- Centre for Environment, Fisheries and Aquaculture Science, Weymouth, UK
| | - A P Fuentes-Pardo
- Department of Immunology, Genetics and Pathology, SciLifeLab Data Centre, Uppsala University, Uppsala, Sweden
| | - N W Jeffery
- Bedford Institute of Oceanography, Fisheries and Oceans Canada, Dartmouth, Nova Scotia, Canada
| | - B Jiménez-Mena
- Section for Marine Living Resources, National Institute of Aquatic Resources, Technical University of Denmark, Silkeborg, Denmark
| | - C Junge
- Institute of Marine Research, Tromso, Norway
| | | | - T Leinonen
- Natural Resources Institute Finland, Helsinki, Finland
| | - S M Maes
- Flanders Research Institute for Agriculture, Fisheries and Food, Ostend, Belgium
| | - P McGinnity
- School of Biological, Earth & Environmental Sciences, University College Cork, Cork, Ireland
| | - T E Reed
- School of Biological, Earth & Environmental Sciences, University College Cork, Cork, Ireland
| | - C M O Reisser
- MARBEC, University of Montpellier, CNRS, IFREMER, IRD, Montpellier, France
| | - G Silva
- MARE-Marine and Environmental Sciences Centre/ARNET-Aquatic Research Network, ISPA-Instituto Universitário, Lisbon, Portugal
| | - A Vasemägi
- Swedish University of Agricultural Sciences, Drottningholm, Sweden
- Estonian University of Life Sciences, Tartu, Estonia
| | - I R Bradbury
- Northwest Atlantic Fisheries Centre, Fisheries and Oceans Canada, St. John's, Newfoundland and Labrador, Canada
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Sort M, Manuzzi A, Jiménez-Mena B, Ovenden JR, Holmes BJ, Bernard AM, Shivji MS, Meldrup D, Bennett MB, Nielsen EE. Come together: calibration of tiger shark (Galeocerdo cuvier) microsatellite databases for investigating global population structure and assignment of historical specimens. CONSERV GENET RESOUR 2021. [DOI: 10.1007/s12686-021-01197-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
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