Evidence map›Paper›PMID 39953933›Full record

ArticleJournal of insect science (Online)2025

Behavior, behavioral syndromes, and metabolism: the effects of artificial selection for death-feigning on metabolic rate.

Kentarou Matsumura, David J Hosken, Tomohito Noda, Takahisa Miyatake, Manmohan D Sharma

Abstract read
In one paragraph

Article in Journal of insect science (Online), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Kentarou MatsumuraGraduate School of Environmental and Life Science, Okayama University, Okayama, Japan.
David J HoskenCentre for Ecology and Conservation, Faculty of Environment, Science and Economy, University of Exeter, Penryn, UK.
Tomohito NodaCentre for Ecology and Conservation, Faculty of Environment, Science and Economy, University of Exeter, Penryn, UK.
Takahisa MiyatakeGraduate School of Environmental and Life Science, Okayama University, Okayama, Japan.ORCID 0000-0002-5476-0676
Manmohan D SharmaCentre for Ecology and Conservation, Faculty of Environment, Science and Economy, University of Exeter, Penryn, UK.

Funding

Japan Society for the Promotion of Science 18H02510
6 · The paper itself

Abstract

Death-feigning, or thanatosis, is an anti-predator behavioral strategy in many animals. Because individuals remain immobile while feigning death, individuals with longer durations of death feigning often show lower locomotor activity. Thus, metabolic rate, which is closely related to locomotor activity, may also be related to the intensity of death feigning. If there is a genetic correlation between death feigning and metabolism, metabolic rate may respond to selection on death-feigning behavior. Here, we tested for a relationship between metabolic rate and death-feigning using replicated populations of the red flour beetle (Tribolium castaneum) subjected to artificial bidirectional selection on the duration of death-feigning behavior. The results indicated that metabolic rate did not differ between populations selected for increased or decreased death feigning, although locomotor activity was significantly different between these treatments; populations selected for reduced death-feigning durations tended to be more active. These results suggest that death-feigning behavior is not genetically correlated with metabolic rate in T. castaneum.

Indexed as

Behavior, AnimalEnergy MetabolismSelection, GeneticTriboliumAnimalsLocomotionMaleanti-predator behaviorartificial selectiondeath-feigningmetabolic ratepersonalityTribolium

Identifiers

PMID39953933
PMCPMC11829217

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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.