Multigenerational exposure to elevated temperatures leads to a reduction in standard metabolic rate in the wild

In light of global climate change, there is a pressing need to understand and predict the capacity of populations to respond to rising temperatures. Metabolic rate is a key trait that is likely to influence the ability to cope with climate change. Yet, empirical and theoretical work on metabolic rat...

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Published in:Functional Ecology
Main Authors: Pilakouta, Natalie, Killen, Shaun S., Kristjánsson, Bjarni N., Skúlason, Skúli, Lindström, Jan, Metcalfe, Neil B., Parsons, Kevin J.
Format: Article in Journal/Newspaper
Language:English
Published: Wiley 2020
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Online Access:https://eprints.gla.ac.uk/209110/
https://eprints.gla.ac.uk/209110/1/209110.pdf
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spelling ftuglasgow:oai:eprints.gla.ac.uk:209110 2023-05-15T16:51:57+02:00 Multigenerational exposure to elevated temperatures leads to a reduction in standard metabolic rate in the wild Pilakouta, Natalie Killen, Shaun S. Kristjánsson, Bjarni N. Skúlason, Skúli Lindström, Jan Metcalfe, Neil B. Parsons, Kevin J. 2020-06 text https://eprints.gla.ac.uk/209110/ https://eprints.gla.ac.uk/209110/1/209110.pdf en eng Wiley https://eprints.gla.ac.uk/209110/1/209110.pdf Pilakouta, N. <http://eprints.gla.ac.uk/view/author/37388.html> , Killen, S. S. <http://eprints.gla.ac.uk/view/author/12343.html> , Kristjánsson, B. N., Skúlason, S., Lindström, J. <http://eprints.gla.ac.uk/view/author/7019.html> , Metcalfe, N. B. <http://eprints.gla.ac.uk/view/author/10179.html> and Parsons, K. J. <http://eprints.gla.ac.uk/view/author/29022.html> (2020) Multigenerational exposure to elevated temperatures leads to a reduction in standard metabolic rate in the wild. Functional Ecology <https://eprints.gla.ac.uk/view/journal_volume/Functional_Ecology.html>, 34(6), pp. 1205-1214. (doi:10.1111/1365-2435.13538 <https://doi.org/10.1111/1365-2435.13538>) (PMID:32612318) (PMCID:PMC7318562) cc_by_4 CC-BY Articles PeerReviewed 2020 ftuglasgow https://doi.org/10.1111/1365-2435.13538 2022-09-22T22:15:42Z In light of global climate change, there is a pressing need to understand and predict the capacity of populations to respond to rising temperatures. Metabolic rate is a key trait that is likely to influence the ability to cope with climate change. Yet, empirical and theoretical work on metabolic rate responses to temperature changes has so far produced mixed results and conflicting predictions. Our study addresses this issue using a novel approach of comparing fish populations in geothermally warmed lakes and adjacent ambient‐temperature lakes in Iceland. This unique ‘natural experiment' provides repeated and independent examples of populations experiencing contrasting thermal environments for many generations over a small geographic scale, thereby avoiding the confounding factors associated with latitudinal or elevational comparisons. Using Icelandic sticklebacks from three warm and three cold habitats, we measured individual metabolic rates across a range of acclimation temperatures to obtain reaction norms for each population. We found a general pattern for a lower standard metabolic rate in sticklebacks from warm habitats when measured at a common temperature, as predicted by Krogh's rule. Metabolic rate differences between warm‐ and cold‐habitat sticklebacks were more pronounced at more extreme acclimation temperatures, suggesting the release of cryptic genetic variation upon exposure to novel conditions, which can reveal hidden evolutionary potential. We also found a stronger divergence in metabolic rate between thermal habitats in allopatry than sympatry, indicating that gene flow may constrain physiological adaptation when dispersal between warm and cold habitats is possible. In sum, our study suggests that fish may diverge toward a lower standard metabolic rate in a warming world, but this might depend on connectivity and gene flow between different thermal habitats. Article in Journal/Newspaper Iceland University of Glasgow: Enlighten - Publications Functional Ecology 34 6 1205 1214
institution Open Polar
collection University of Glasgow: Enlighten - Publications
op_collection_id ftuglasgow
language English
description In light of global climate change, there is a pressing need to understand and predict the capacity of populations to respond to rising temperatures. Metabolic rate is a key trait that is likely to influence the ability to cope with climate change. Yet, empirical and theoretical work on metabolic rate responses to temperature changes has so far produced mixed results and conflicting predictions. Our study addresses this issue using a novel approach of comparing fish populations in geothermally warmed lakes and adjacent ambient‐temperature lakes in Iceland. This unique ‘natural experiment' provides repeated and independent examples of populations experiencing contrasting thermal environments for many generations over a small geographic scale, thereby avoiding the confounding factors associated with latitudinal or elevational comparisons. Using Icelandic sticklebacks from three warm and three cold habitats, we measured individual metabolic rates across a range of acclimation temperatures to obtain reaction norms for each population. We found a general pattern for a lower standard metabolic rate in sticklebacks from warm habitats when measured at a common temperature, as predicted by Krogh's rule. Metabolic rate differences between warm‐ and cold‐habitat sticklebacks were more pronounced at more extreme acclimation temperatures, suggesting the release of cryptic genetic variation upon exposure to novel conditions, which can reveal hidden evolutionary potential. We also found a stronger divergence in metabolic rate between thermal habitats in allopatry than sympatry, indicating that gene flow may constrain physiological adaptation when dispersal between warm and cold habitats is possible. In sum, our study suggests that fish may diverge toward a lower standard metabolic rate in a warming world, but this might depend on connectivity and gene flow between different thermal habitats.
format Article in Journal/Newspaper
author Pilakouta, Natalie
Killen, Shaun S.
Kristjánsson, Bjarni N.
Skúlason, Skúli
Lindström, Jan
Metcalfe, Neil B.
Parsons, Kevin J.
spellingShingle Pilakouta, Natalie
Killen, Shaun S.
Kristjánsson, Bjarni N.
Skúlason, Skúli
Lindström, Jan
Metcalfe, Neil B.
Parsons, Kevin J.
Multigenerational exposure to elevated temperatures leads to a reduction in standard metabolic rate in the wild
author_facet Pilakouta, Natalie
Killen, Shaun S.
Kristjánsson, Bjarni N.
Skúlason, Skúli
Lindström, Jan
Metcalfe, Neil B.
Parsons, Kevin J.
author_sort Pilakouta, Natalie
title Multigenerational exposure to elevated temperatures leads to a reduction in standard metabolic rate in the wild
title_short Multigenerational exposure to elevated temperatures leads to a reduction in standard metabolic rate in the wild
title_full Multigenerational exposure to elevated temperatures leads to a reduction in standard metabolic rate in the wild
title_fullStr Multigenerational exposure to elevated temperatures leads to a reduction in standard metabolic rate in the wild
title_full_unstemmed Multigenerational exposure to elevated temperatures leads to a reduction in standard metabolic rate in the wild
title_sort multigenerational exposure to elevated temperatures leads to a reduction in standard metabolic rate in the wild
publisher Wiley
publishDate 2020
url https://eprints.gla.ac.uk/209110/
https://eprints.gla.ac.uk/209110/1/209110.pdf
genre Iceland
genre_facet Iceland
op_relation https://eprints.gla.ac.uk/209110/1/209110.pdf
Pilakouta, N. <http://eprints.gla.ac.uk/view/author/37388.html> , Killen, S. S. <http://eprints.gla.ac.uk/view/author/12343.html> , Kristjánsson, B. N., Skúlason, S., Lindström, J. <http://eprints.gla.ac.uk/view/author/7019.html> , Metcalfe, N. B. <http://eprints.gla.ac.uk/view/author/10179.html> and Parsons, K. J. <http://eprints.gla.ac.uk/view/author/29022.html> (2020) Multigenerational exposure to elevated temperatures leads to a reduction in standard metabolic rate in the wild. Functional Ecology <https://eprints.gla.ac.uk/view/journal_volume/Functional_Ecology.html>, 34(6), pp. 1205-1214. (doi:10.1111/1365-2435.13538 <https://doi.org/10.1111/1365-2435.13538>) (PMID:32612318) (PMCID:PMC7318562)
op_rights cc_by_4
op_rightsnorm CC-BY
op_doi https://doi.org/10.1111/1365-2435.13538
container_title Functional Ecology
container_volume 34
container_issue 6
container_start_page 1205
op_container_end_page 1214
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