ArticleEcology and evolution2017
The combined effects of reactant kinetics and enzyme stability explain the temperature dependence of metabolic rates.
Article in Ecology and evolution, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers, 2 of them syntheses that pooled it.
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46 citing papers in PubMed, 2 syntheses or guidelines pooled it, 118 citations in OpenAlex.
- The QScientific reports · 2026Pooled it
- Evolution of thermal performance curves: A meta-analysis of selection experiments.Journal of evolutionary biology · 2023Pooled it
- Heritable variation drives rapid evolution of thermal performance curves in the protist Tetrahymena thermophila.Communications biology · 2026Article
- Enzyme-Assisted Extraction of Bioactive Compounds fromPlants (Basel, Switzerland) · 2026Article
- The thermodynamic opportunities hypothesis: Metabolic temperature insensitivity across flatfish species.Science advances · 2026Article
- Combined impacts of warming and methomyl on neurophysiological and behavioral responses in Amazonian frog tadpoles.Ecotoxicology (London, England) · 2026Article
- Toward a general understanding of thermal performance curves in biology.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- A universal thermal performance curve arises in biology and ecology.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Mechanistic origins of temperature scaling in the early embryonic cell cycle.Nature communications · 2025Article
- Predation by a ciliate community mediates temperature and nutrient effects on a peatland prey prokaryotic community.mSphere · 2025Article
- Article
- Elevated temperature enhances task performance by improving cognitive abilities in common rudd (Scardinius erythrophthalmus).Scientific reports · 2025Article
- No universal mathematical model for thermal performance curves across traits and taxonomic groups.Nature communications · 2024Article
- Metabolic plasticity drives mismatches in physiological traits between prey and predator.Communications biology · 2024Article
- Effects of a Dietary Multienzyme Extract on Isotope Biokinetics in Red Claw CrayfishAquaculture nutrition · 2024Article
- Why the Early Paleozoic was intrinsically prone to marine extinction.Science advances · 2023Article
- Self-Organization of Enzyme-Catalyzed Reactions Studied by the Maximum Entropy Production Principle.International journal of molecular sciences · 2023Article
- Energetic costs increase with faster heating in an aquatic ectotherm.Conservation physiology · 2023Article
- Hibernation and hemostasis.Frontiers in physiology · 2023Review
- A conceptual framework for the dynamic modeling of time-resolved phenotypes for sets of genotype-environment-management combinations: a model library.Frontiers in plant science · 2023Article
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A mechanistic understanding of the response of metabolic rate to temperature is essential for understanding thermal ecology and metabolic adaptation. Although the Arrhenius equation has been used to describe the effects of temperature on reaction rates and metabolic traits, it does not adequately describe two aspects of the thermal performance curve (TPC) for metabolic rate-that metabolic rate is a unimodal function of temperature often with maximal values in the biologically relevant temperature range and that activation energies are temperature dependent. We show that the temperature dependence of metabolic rate in ectotherms is well described by an enzyme-assisted Arrhenius (EAAR) model that accounts for the temperature-dependent contribution of enzymes to decreasing the activation energy required for reactions to occur. The model is mechanistically derived using the thermodynamic rules that govern protein stability. We contrast our model with other unimodal functions that also can be used to describe the temperature dependence of metabolic rate to show how the EAAR model provides an important advance over previous work. We fit the EAAR model to metabolic rate data for a variety of taxa to demonstrate the model's utility in describing metabolic rate TPCs while revealing significant differences in thermodynamic properties across species and acclimation temperatures. Our model advances our ability to understand the metabolic and ecological consequences of increases in the mean and variance of temperature associated with global climate change. In addition, the model suggests avenues by which organisms can acclimate and adapt to changing thermal environments. Furthermore, the parameters in the EAAR model generate links between organismal level performance and underlying molecular processes that can be tested for in future work.
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