Towards an evolutionary theory of stress responses
dc.contributor.author | Taborsky, B | |
dc.contributor.author | English, S | |
dc.contributor.author | Fawcett, TW | |
dc.contributor.author | Kuijper, A | |
dc.contributor.author | Leimar, O | |
dc.contributor.author | McNamara, JM | |
dc.contributor.author | Ruuskanen, S | |
dc.contributor.author | Sandi, C | |
dc.date.accessioned | 2020-09-04T09:42:17Z | |
dc.date.issued | 2020-10-05 | |
dc.description.abstract | All organisms have a stress response system to cope with environmental threats, yet its precise form varies hugely within and across individuals, populations and species. While the physiological mechanisms are increasingly understood, how stress responses have evolved remains elusive. Here, we show that important insights can be gained from models that incorporate physiological mechanisms within an evolutionary optimality analysis (the ‘evo-mecho’ approach). Our approach reveals environmental predictability and physiological constraints as key factors shaping stress response evolution, generating testable predictions about variation across species and contexts. We call for an integrated research programme combining theory, experimental evolution and comparative analysis to advance scientific understanding of how this core physiological system has evolved. | en_GB |
dc.description.sponsorship | Conference Universitaire de Suisse Occidentale (CUSO) | en_GB |
dc.description.sponsorship | Swiss National Science Foundation | en_GB |
dc.description.sponsorship | University of Bristol | en_GB |
dc.description.sponsorship | Royal Society | en_GB |
dc.description.sponsorship | Academy of Finland | en_GB |
dc.description.sponsorship | Swedish Research Council | en_GB |
dc.identifier.citation | Awaiting citation and DOI | en_GB |
dc.identifier.doi | 10.1016/j.tree.2020.09.003 | |
dc.identifier.uri | http://hdl.handle.net/10871/122712 | |
dc.language.iso | en | en_GB |
dc.publisher | Elsevier | en_GB |
dc.rights.embargoreason | Under embargo until 5 October 2021 in compliance with publisher policy | en_GB |
dc.rights | © 2020. This version is made available under the CC-BY-NC-ND 4.0 license: https://creativecommons.org/licenses/by-nc-nd/4.0/ | en_GB |
dc.subject | stress hormones | en_GB |
dc.subject | glucocorticoids | en_GB |
dc.subject | evolutionary simulations | en_GB |
dc.subject | optimality models | en_GB |
dc.subject | temporal autocorrelation | en_GB |
dc.subject | predation risk | en_GB |
dc.title | Towards an evolutionary theory of stress responses | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2020-09-04T09:42:17Z | |
dc.identifier.issn | 0169-5347 | |
dc.description | This is the author accepted manuscript. The final version is available from Elsevier via the DOI in this record | en_GB |
dc.identifier.journal | Trends in Ecology and Evolution | en_GB |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/ | en_GB |
dcterms.dateAccepted | 2020-09-01 | |
rioxxterms.version | AM | en_GB |
rioxxterms.licenseref.startdate | 2020-09-01 | |
rioxxterms.type | Journal Article/Review | en_GB |
refterms.dateFCD | 2020-09-04T09:00:11Z | |
refterms.versionFCD | AM | |
refterms.panel | A | en_GB |
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Except where otherwise noted, this item's licence is described as © 2020. This version is made available under the CC-BY-NC-ND 4.0 license: https://creativecommons.org/licenses/by-nc-nd/4.0/