Evidence map›Paper›PMID 42143603›Full record

ArticleEcology letters2026

Macroevolution of Steep Interspecific Metabolic Allometry in an Old Insect Order.

Daniel Schönberger, Moa Metz, Masahito Tsuboi, Giuseppe Bianco, Zachary C DeVries, Andreas Nord, Erik I Svensson

Abstract read
In one paragraph

Article in Ecology letters, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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.

Daniel SchönbergerDepartment of Entomology, University of Kentucky, Lexington, Kentucky, USA.
Moa MetzDepartment of Biology, Lund University, Lund, Sweden.
Masahito TsuboiDepartment of Biology, Lund University, Lund, Sweden.ORCID https://orcid.org/0000-0002-0144-2893
Giuseppe BiancoDepartment of Biology, Lund University, Lund, Sweden.ORCID https://orcid.org/0000-0002-6144-2959
Zachary C DeVriesDepartment of Entomology, University of Kentucky, Lexington, Kentucky, USA.
Andreas NordDepartment of Biology, Lund University, Lund, Sweden.ORCID https://orcid.org/0000-0001-6170-689X
Erik I SvenssonDepartment of Biology, Norwegian University of Science and Technology, Trondheim, Norway.ORCID https://orcid.org/0000-0001-9006-016X

Funding

Lunds DjurskyddsfondSven och Lilly Lawskis Fond för Naturvetenskaplig ForskningVetenskapsrådet 2020 03123Vetenskapsrådet 2020 04686Vetenskapsrådet 2024-03965
6 · The paper itself

Abstract

Endotherms exhibit metabolic allometric slopes of 0.75, which were long viewed as evolutionary constraints but which are increasingly questioned. In insects, allometric relationships between body size and metabolism are understudied. We used comparative phylogenetic methods to investigate macroevolution of metabolic allometry in Odonata (dragonflies and damselflies), an insect group with a unique ecology and dramatic macroevolution of body size. We found an interspecific allometric slope close to one (isometry). Metabolic rates evolved gradually with a weak pullback force and multiple shifts in metabolic optima, body size and flight behaviour. Cell size, nucleus size and body surface area did not explain this steep allometric slope. Instead, metabolic isometry likely reflects the high aerobic demands of flight and evolutionary increases in body size via cell numbers rather than cell size. Our results challenge traditional allometric theories and suggest that metabolic allometries can and do evolve, with far-reaching implications for insect size evolution.

Indexed as

Biological EvolutionOdonataAnimalsBody SizeFlight, AnimalPhylogenyallometrybayouevolvabilityinsectsmacroevolutionmetabolismnatural selectionphylogenetic comparative methodsphylogenetic path analysisphytools

Identifiers

PMID42143603
PMCPMC13180310

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Registered trials

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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.