Evidence map›Paper›PMID 32612318›Full record

ArticleFunctional ecology2020

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

Natalie Pilakouta, Shaun S Killen, Bjarni K Kristjánsson, Skúli Skúlason, Jan Lindström, Neil B Metcalfe, Kevin J Parsons

Open access · hybridAbstract read
In one paragraph

Article in Functional ecology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
5.5field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

26 citing papers in PubMed, 59 citations in OpenAlex.

  1. Article
  2. Physiology is a hidden dimension of diversity in the radiation of woodland salamanders.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Temperature and nutrition do not interact to shape the evolution of metabolic rate.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 2 countries.

Natalie PilakoutaInstitute of Biodiversity, Animal Health, and Comparative Medicine University of Glasgow Glasgow UK.ORCID https://orcid.org/0000-0001-8503-520X
Shaun S KillenInstitute of Biodiversity, Animal Health, and Comparative Medicine University of Glasgow Glasgow UK.ORCID https://orcid.org/0000-0003-4949-3988
Bjarni K KristjánssonDepartment of Aquaculture and Fish Biology Hólar University Sauðárkrókur Iceland.ORCID https://orcid.org/0000-0001-6984-5771
Skúli SkúlasonDepartment of Aquaculture and Fish Biology Hólar University Sauðárkrókur Iceland.
Jan LindströmInstitute of Biodiversity, Animal Health, and Comparative Medicine University of Glasgow Glasgow UK.
Neil B MetcalfeInstitute of Biodiversity, Animal Health, and Comparative Medicine University of Glasgow Glasgow UK.ORCID https://orcid.org/0000-0002-1970-9349
Kevin J ParsonsInstitute of Biodiversity, Animal Health, and Comparative Medicine University of Glasgow Glasgow UK.
University of Glasgow · GBHólar University College · ISUniversity of Aberdeen · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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 (SMR) 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 SMR in a warming world, but this might depend on connectivity and gene flow between different thermal habitats. A free Plain Language Summary can be found within the Supporting Information of this article.

Indexed as

climate changecountergradient variationGasterosteusaculeatusKrogh's rulemetabolic cold adaptationphysiologythreespine stickleback

Identifiers

PMID32612318
PMCPMC7318562
OpenAlexW3004226326

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.