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Título : Predicting the future of our oceans-Evaluating genomic forecasting approaches in marine species
Autor : Layton, K. K. S.; Brieuc, M. S. O.; Castilho, R.; Diaz-Arce, Natalia; and Estevez-Barcia, D.; Fonseca, V. G.; Fuentes-Pardo, A. P.; Jeffery, N. W.; Jimenez-Mena, B.; Junge, C.; Kaufmann, J.; Leinonen, T.; Maes, S. M.; Mcginnity, P.; Reed, T. E.; Reisser, C. M. O.; Silva, G.; Vasemagi, A.; Bradbury, I. R.
Resumen : 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. Predicting climate change impacts is of central importance in marine ecosystems that provide a major source of nutrition to global communities and this work must be based on a sound understanding of both ecological and genomic impacts. This opinion synthesizes knowledge about the genomic basis of adaptation in marine species, highlights the few examples where genomic forecasting has been applied in marine systems, identifies the key challenges in validating genomic offset estimates in marine species, and provides a workflow to guide marine managers in incorporating these predictions into the decision-making process.image
Palabras clave : adaptation; climate change; genomic offset; marine species; validation; CLIMATE-CHANGE; ATLANTIC COD; CONNECTIVITY; ADAPTATION; DIVERGENCE; SELECTION
Fecha de publicación : 2024
Editorial : WILEY
Tipo de documento: Article
Idioma: 
DOI: 10.1111/gcb.17236
URI : http://dspace.azti.es/handle/24689/1931
ISSN : 1354-1013
E-ISSN: 1365-2486
Patrocinador: ICES Working Group on the Application of Genetics in Fisheries and Aquaculture (WGAGFA) - Foundation for Science and Technology [UIDB/04326/2020, UIDP/04326/2020, LA/P/0101/2020]
SFI
IRC under the Pathway programme [SFI-IRC/21/PATH-S/9671]
Marine Conservation Targets program at Fisheries and Oceans Canada - Estonian Research Council [PRG852]
Academy of Finland [347368]
Department of Agriculture and Fisheries of the Basque Government
Aparece en las tipos de publicación: Artículos científicos



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