Evidence map›Paper›PMID 35933126›Full record

ArticleIntegrative and comparative biology2022

White Paper: An Integrated Perspective on the Causes of Hypometric Metabolic Scaling in Animals.

Jon F Harrison, Andrew Biewener, Joanna R Bernhardt, Joseph R Burger, James H Brown, Zach N Coto, Meghan E Duell, Michael Lynch, Emma R Moffett, Tommy Norin and 5 more

Open access · hybridAbstract read
In one paragraph

Article in Integrative and comparative biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
5.4field-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

16 citing papers in PubMed, 35 citations in OpenAlex.

  1. Pervasive effects ofbioRxiv : the preprint server for biology · 2026
    Article
  2. Article
  3. Article
  4. Metabolic traits are shaped by phylogenetic conservatism and environment, not just body size.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Scaling of respiration in colonial invertebrates.Limnology and oceanography · 2024
    Article
  10. Metabolic scaling as an emergent outcome of variation in metabolic rate.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Review
  11. Consequences of the cost of living: is variation in metabolic rate evolutionarily significant?Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. 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

15 authors at 12 institutions in 5 countries.

Jon F HarrisonSchool of Life Sciences, Arizona State University, Tempe, AZ, USA.ORCID 0000-0001-5223-216X
Andrew BiewenerHarvard University Department of Organismic & Evolutionary Biology, Cambridge, MA, USA.
Joanna R BernhardtUniversity of British Columbia Department of Zoology, Vancouver, BC, CA & Yale Institute for Biospheric Studies, New Haven, CT.
Joseph R BurgerDepartment of Biology, University of Kentucky, Lexington, KY.
James H BrownThe University of New Mexico Center for Evolutionary & Theoretical Immunology, Albuquerque, NM, USA.
Zach N CotoDepartment of Biology, Boston University, Boston, MA, USA.
Meghan E DuellThe University of Western Ontario, Department of Biology, London, ON, CA.
Michael LynchArizona State University, Biodesign Center for Mechanisms of Evolution, Tempe, AZ, USA.
Emma R MoffettDepartment of Ecology and Evolution, University of California, Irvine, CA, USA.ORCID 0000-0001-9891-6217
Tommy NorinDTU Aqua | National Institute of Aquatic Resources, Technical University of Denmark, Kgs. Lyngby, Denmark.ORCID 0000-0003-4323-7254
Amanda K PettersenSchool of Life and Environmental Sciences, The University of Sydney, Sydney, NSW, AU.ORCID 0000-0001-6191-6563
Felisa A SmithDepartment of Biology, University of New Mexico, Albuquerque, NM, USA.
Ummat SomjeeSmithsonian Tropical Research Institute, Panama City, PA.
James F A TranielloDepartment of Biology, Boston University, Boston, MA, USA.
Terrie M WilliamsDivision of Physical & Biological Sciences, University of California Santa Cruz Santa Cruz, CA, USA.
Arizona State University · USSmithsonian Tropical Research Institute · PAUniversity of New Mexico · USBoston University · USHarvard University · USTechnical University of Denmark · DKThe University of Sydney · AUUniversity of British Columbia · CAUniversity of California, Irvine · USUniversity of California, Santa Cruz · USUniversity of Kentucky · USWestern University · CA

Funding

Causes and Population-genetic Consequences of Molecular VariationR35GM122566 · NIGMS · TRUSTEES OF INDIANA UNIVERSITY · PI Michael R LYNCH · 2017 to 2026
$7.7M
NIGMS NIH HHS R35 GM122566
6 · The paper itself

Abstract

Larger animals studied during ontogeny, across populations, or across species, usually have lower mass-specific metabolic rates than smaller animals (hypometric scaling). This pattern is usually observed regardless of physiological state (e.g. basal, resting, field, maximally-active). The scaling of metabolism is usually highly correlated with the scaling of many life history traits, behaviors, physiological variables, and cellular/molecular properties, making determination of the causation of this pattern challenging. For across-species comparisons of resting and locomoting animals (but less so for across populations or during ontogeny), the mechanisms at the physiological and cellular level are becoming clear. Lower mass-specific metabolic rates of larger species at rest are due to a) lower contents of expensive tissues (brains, liver, kidneys), and b) slower ion leak across membranes at least partially due to membrane composition, with lower ion pump ATPase activities. Lower mass-specific costs of larger species during locomotion are due to lower costs for lower-frequency muscle activity, with slower myosin and Ca++ ATPase activities, and likely more elastic energy storage. The evolutionary explanation(s) for hypometric scaling remain(s) highly controversial. One subset of evolutionary hypotheses relies on constraints on larger animals due to changes in geometry with size; for example, lower surface-to-volume ratios of exchange surfaces may constrain nutrient or heat exchange, or lower cross-sectional areas of muscles and tendons relative to body mass ratios would make larger animals more fragile without compensation. Another subset of hypotheses suggests that hypometric scaling arises from biotic interactions and correlated selection, with larger animals experiencing less selection for mass-specific growth or neurolocomotor performance. A additional third type of explanation comes from population genetics. Larger animals with their lower effective population sizes and subsequent less effective selection relative to drift may have more deleterious mutations, reducing maximal performance and metabolic rates. Resolving the evolutionary explanation for the hypometric scaling of metabolism and associated variables is a major challenge for organismal and evolutionary biology. To aid progress, we identify some variation in terminology use that has impeded cross-field conversations on scaling. We also suggest that promising directions for the field to move forward include: 1) studies examining the linkages between ontogenetic, population-level, and cross-species allometries, 2) studies linking scaling to ecological or phylogenetic context, 3) studies that consider multiple, possibly interacting hypotheses, and 4) obtaining better field data for metabolic rates and the life history correlates of metabolic rate such as lifespan, growth rate and reproduction.

Identifiers

PMID35933126
PMCPMC9724154
OpenAlexW4290189449

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.