Predicting the future of our oceans—Evaluating genomic forecasting approaches in marine species

Author:

Layton K. K. S.12ORCID,Brieuc M. S. O.3,Castilho R.456,Diaz‐Arce N.7,Estévez‐Barcia D.8,Fonseca V. G.9,Fuentes‐Pardo A. P.10,Jeffery N. W.11ORCID,Jiménez‐Mena B.12,Junge C.13,Kaufmann J.14,Leinonen T.15,Maes S. M.16,McGinnity P.17,Reed T. E.17,Reisser C. M. O.18,Silva G.19,Vasemägi A.2021,Bradbury I. R.22

Affiliation:

1. Department of Biology University of Toronto Mississauga Mississauga Ontario Canada

2. School of Biological Sciences University of Aberdeen Aberdeen UK

3. Institute of Marine Research Bergen Norway

4. University of the Algarve Faro Portugal

5. Centre for Marine Sciences University of the Algarve Faro Portugal

6. Pattern Institute Faro Portugal

7. AZTI Marine Research, Basque Research and Technology Alliance (BRTA) Sukarrieta Spain

8. Department of Fish and Shellfish Greenland Institute of Natural Resources Nuuk Greenland

9. Centre for Environment, Fisheries and Aquaculture Science Weymouth UK

10. Department of Immunology, Genetics and Pathology, SciLifeLab Data Centre Uppsala University Uppsala Sweden

11. Bedford Institute of Oceanography, Fisheries and Oceans Canada Dartmouth Nova Scotia Canada

12. Section for Marine Living Resources, National Institute of Aquatic Resources Technical University of Denmark Silkeborg Denmark

13. Institute of Marine Research Tromso Norway

14. Marine Institute Newport Ireland

15. Natural Resources Institute Finland Helsinki Finland

16. Flanders Research Institute for Agriculture, Fisheries and Food Ostend Belgium

17. School of Biological, Earth & Environmental Sciences University College Cork Cork Ireland

18. MARBEC University of Montpellier, CNRS, IFREMER, IRD Montpellier France

19. MARE—Marine and Environmental Sciences Centre/ARNET—Aquatic Research Network ISPA—Instituto Universitário Lisbon Portugal

20. Swedish University of Agricultural Sciences Drottningholm Sweden

21. Estonian University of Life Sciences Tartu Estonia

22. Northwest Atlantic Fisheries Centre, Fisheries and Oceans Canada St. John's Newfoundland and Labrador Canada

Abstract

AbstractClimate 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.

Publisher

Wiley

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