Evidence map›Paper›PMID 39739738›Full record

ArticlePloS one2024

Sickness behaviour and the effect of sex, age, and immune status on individual behavioural variation in Tenebrio molitor.

Antoine Bour, Clint D Kelly

Abstract read
In one paragraph

Article in PloS one, 2024. 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

2 authors.

Antoine BourUniversity of Strasbourg, Strasbourg, France.
Clint D KellyDépartement des Sciences Biologiques, Université du Québec à Montréal, Montréal, Canada.ORCID 0000-0002-0693-7211

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sick animals generally behave differently than healthy individuals by, for example, being less active and exploratory. How an individual responds to illness is also likely to be mediated by the individual's age because age will dictate the individual's ability to fight a challenge. To date, empirical research on sickness behaviour has focused on the population-level average effect of ill health on behaviour. No study has examined how sickness affects individual behavioural variation, which can affect not only survival and reproductive success but also disease transmission via interactions with conspecifics. In this study, we use a repeated measures design to experimentally test the hypothesis that an immune challenge will induce sickness behaviour in yellow mealworm beetles (Tenebrio molitor) and that the effect on behavioural expression will be dose- and age-dependent. We test the prediction that an immune challenge will reduce beetle activity and exploration at the population level as well as modify variation in behavioural expression among individuals with individuals receiving a stronger challenge expressing more sickness behaviour. Although we found little evidence that T. molitor experiences sickness behaviour, we did find that older beetles were more active than younger ones. There was very little evidence that age, sex, and immune status affect behavioural variation among and within individuals but the phenotypic correlation between activity and exploration is driven by a correlation within individuals. Observed effects within individuals are likely driven by a significant effect of test sequence; behavioural expression significantly decreased in the second of the repeated tests.

Indexed as

Behavior, AnimalIllness BehaviorTenebrioAge FactorsAnimalsFemaleMaleSex Factors

Identifiers

PMID39739738
PMCPMC11687652

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.