Repository logo
 
Publication

Predicting the future of our oceans-evaluating genomic forecasting approaches in marine species

dc.contributor.authorLayton, K. K. S.
dc.contributor.authorBrieuc, M. S. O.
dc.contributor.authorCastilho, Rita
dc.contributor.authorDiaz‐Arce, N.
dc.contributor.authorEstévez‐Barcia, D.
dc.contributor.authorFonseca, V. G.
dc.contributor.authorFuentes‐Pardo, A. P.
dc.contributor.authorJeffery, N. W.
dc.contributor.authorJiménez-Mena, B.
dc.contributor.authorJunge, C.
dc.contributor.authorLeinonen, T.
dc.contributor.authorMaes, S. M.
dc.contributor.authorMcGinnity, P.
dc.contributor.authorReed, T. E.
dc.contributor.authorReisser, C. M. O.
dc.contributor.authorSilva, G.
dc.contributor.authorVasemägi, A.
dc.contributor.authorBradbury, I. R.
dc.contributor.authorKaufmann, J.
dc.date.accessioned2024-04-11T09:43:32Z
dc.date.available2024-04-11T09:43:32Z
dc.date.issued2024
dc.description.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. 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.imagept_PT
dc.description.sponsorshipSFI-IRC/21/PATH-S/9671; PRG852; 347368pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.issn1354-1013
dc.identifier.urihttp://hdl.handle.net/10400.1/20625
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherWileypt_PT
dc.relationAlgarve Centre for Marine Sciences
dc.relationAlgarve Centre for Marine Sciences
dc.relationCentre for Marine and Environmental Research
dc.subjectAdaptationpt_PT
dc.subjectClimate changept_PT
dc.subjectGenomic offsetpt_PT
dc.subjectMarine speciespt_PT
dc.subjectValidationpt_PT
dc.titlePredicting the future of our oceans-evaluating genomic forecasting approaches in marine speciespt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleAlgarve Centre for Marine Sciences
oaire.awardTitleAlgarve Centre for Marine Sciences
oaire.awardTitleCentre for Marine and Environmental Research
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04326%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F04326%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/LA%2FP%2F0101%2F2020/PT
oaire.citation.issue3pt_PT
oaire.citation.startPagee17236pt_PT
oaire.citation.titleGlobal Change Biologypt_PT
oaire.citation.volume30pt_PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
person.familyNameCastilho
person.givenNameRita
person.identifier452212
person.identifier.ciencia-id0513-0407-A6C1
person.identifier.orcid0000-0003-0727-3688
person.identifier.ridB-6185-2008
person.identifier.scopus-author-id56271196600
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsrestrictedAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication051f68ec-18e0-4008-b06d-bf4b996fa098
relation.isAuthorOfPublication.latestForDiscovery051f68ec-18e0-4008-b06d-bf4b996fa098
relation.isProjectOfPublicationfafa76a6-2cd2-4a6d-a3c9-772f34d3b91f
relation.isProjectOfPublication15f91d45-e070-47d8-b6b8-efd4de31d9a8
relation.isProjectOfPublication794d4c77-c731-471e-bc96-5a41dcd3d872
relation.isProjectOfPublication.latestForDiscovery794d4c77-c731-471e-bc96-5a41dcd3d872

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Global Change Biology - 2024 - Layton - Predicting the future of our oceans Evaluating genomic forecasting approaches in.pdf
Size:
2.3 MB
Format:
Adobe Portable Document Format
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
3.46 KB
Format:
Item-specific license agreed upon to submission
Description: