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dc.contributor.authorBrombacher, A
dc.contributor.authorWilson, PA
dc.contributor.authorBailey, I
dc.contributor.authorEzard, T
dc.date.accessioned2023-03-20T08:16:19Z
dc.date.issued2023-04-05
dc.date.updated2023-03-17T23:14:07Z
dc.description.abstractIntroduction: Lines of least resistance, or the direction of maximum phenotypic variation, are reliable predictive tools for directions of evolutionary divergence through time. However, the consistency of trait covariation patterns through space, i.e. in different populations of the same taxa inhabiting different environmental settings, remains poorly established. Methods: To test whether the predicted direction of evolutionary change is the same through time as it is across space, we compare within- and among-population trait covariation patterns across six Atlantic populations of two planktonic foraminifera species. Our study interval is 600,000 years long, spans the Neogene/Quaternary boundary and includes Earth’s most recent major natural shift in global climate state: the intensification of Northern Hemisphere Glaciation. Results: We show that, despite powerful global temporal changes in climate, there is a strong spatial signal in the evolutionary response. Population-specific trait covariation slopes vary among sites, climate phases and core/edge position within the species’ biogeographic range. Discussion: Our results imply that the direction of expected evolutionary change does not align across populations. This suggests that trait covariation patterns in the study species are driven by adaptation to local environmental settings rather than species-wide constraints. Single populations should therefore not be used to predict the response of other populations, even if they are faced with similar environmental conditions. We caution against using individual populations to project future response of other/global populations unless the underlying mechanism for trait covariation is shown to be universal.en_GB
dc.description.sponsorshipNatural Environment Research Council (NERC)en_GB
dc.description.sponsorshipRoyal Societyen_GB
dc.identifier.citationVol. 11, article 1165174en_GB
dc.identifier.doi10.3389/fevo.2023.1165174
dc.identifier.grantnumberNE/J018163/1en_GB
dc.identifier.grantnumberNE/P019269/1en_GB
dc.identifier.urihttp://hdl.handle.net/10871/132721
dc.identifierORCID: 0000-0001-5150-5437 (Bailey, Ian)
dc.language.isoenen_GB
dc.publisherFrontiers Mediaen_GB
dc.relation.urlhttps://figshare.com/s/030b3d3cbb289f2342dden_GB
dc.rights© 2023 Brombacher, Wilson, Bailey and Ezard. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.en_GB
dc.subjectLines of least resistanceen_GB
dc.subjectClimate Changeen_GB
dc.subjectmicroevolutionen_GB
dc.subjectPlioceneen_GB
dc.subjectForaminiferaen_GB
dc.subjectPlanktonen_GB
dc.titleMorphological variation across space does not predict phenotypic change through time in two Neogene planktonic foraminifera speciesen_GB
dc.typeArticleen_GB
dc.date.available2023-03-20T08:16:19Z
dc.identifier.issn2296-701X
dc.descriptionThis is the final version. Available on open access from Frontiers Media via the DOI in this recorden_GB
dc.descriptionData availability statement: The datasets generated for this study can be found in the Figshare repository: https://figshare.com/s/030b3d3cbb289f2342dden_GB
dc.identifier.journalFrontiers in Ecology and Evolutionen_GB
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/  en_GB
dcterms.dateAccepted2023-03-17
dcterms.dateSubmitted2023-02-13
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2023-03-17
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2023-03-17T23:14:13Z
refterms.versionFCDAM
refterms.dateFOA2023-04-14T14:34:29Z
refterms.panelBen_GB


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© 2023 Brombacher, Wilson, Bailey and Ezard. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
Except where otherwise noted, this item's licence is described as © 2023 Brombacher, Wilson, Bailey and Ezard. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.