Evidence map›Paper›PMID 37634010›Full record

ArticleNature communications2023

Behavioural individuality determines infection risk in clonal ant colonies.

Zimai Li, Bhoomika Bhat, Erik T Frank, Thalita Oliveira-Honorato, Fumika Azuma, Valérie Bachmann, Darren J Parker, Thomas Schmitt, Evan P Economo, Yuko Ulrich

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.8field-weighted citation impact, top 6% 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

7 citing papers in PubMed, 12 citations in OpenAlex.

  1. Entropy (Basel, Switzerland) · 2026
    Article
  2. Article
  3. Review
  4. Oxidizing pollutants can disrupt nestmate recognition in ants.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  5. Article
  6. Article
  7. ZooKeys · 2024
    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

10 authors at 6 institutions in 4 countries.

Zimai LiMax Planck Institute for Chemical Ecology, Jena, Germany.ORCID http://orcid.org/0000-0002-4464-951X
Bhoomika BhatMax Planck Institute for Chemical Ecology, Jena, Germany.ORCID http://orcid.org/0009-0007-3785-7381
Erik T FrankDepartment of Animal Ecology and Tropical Biology, Biocentre, University of Würzburg, Würzburg, Germany.ORCID http://orcid.org/0000-0002-2066-3202
Thalita Oliveira-HonoratoDepartment of Ecology and Evolution, University of Lausanne, Lausanne, Switzerland.
Fumika AzumaBiodiversity and Biocomplexity Unit, Okinawa Institute of Science and Technology Graduate University, Onna, Japan.
Valérie BachmannInstitute of Integrative Biology, ETH Zürich, Zürich, Switzerland.
Darren J ParkerSchool of Natural Sciences, Bangor University, Bangor, UK.ORCID http://orcid.org/0000-0003-4027-7779
Thomas SchmittDepartment of Animal Ecology and Tropical Biology, Biocentre, University of Würzburg, Würzburg, Germany.ORCID http://orcid.org/0000-0002-6719-8635
Evan P EconomoBiodiversity and Biocomplexity Unit, Okinawa Institute of Science and Technology Graduate University, Onna, Japan.ORCID http://orcid.org/0000-0001-7402-0432
Yuko UlrichMax Planck Institute for Chemical Ecology, Jena, Germany. yulrich@ice.mpg.de.ORCID http://orcid.org/0000-0001-9380-7863
ETH Zurich · CHOkinawa Institute of Science and Technology Graduate University · JPUniversity of Würzburg · DEBangor University · GBMax Planck Institute for Chemical Ecology · DEUniversity of Lausanne · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In social groups, infection risk is not distributed evenly across individuals. Individual behaviour is a key source of variation in infection risk, yet its effects are difficult to separate from other factors (e.g., age). Here, we combine epidemiological experiments with chemical, transcriptomic, and automated behavioural analyses in clonal ant colonies, where behavioural individuality emerges among identical workers. We find that: (1) Caenorhabditis-related nematodes parasitise ant heads and affect their survival and physiology, (2) differences in infection emerge from behavioural variation alone, and reflect spatially-organised division of labour, (3) infections affect colony social organisation by causing infected workers to stay in the nest. By disproportionately infecting some workers and shifting their spatial distribution, infections reduce division of labour and increase spatial overlap between hosts, which should facilitate parasite transmission. Thus, division of labour, a defining feature of societies, not only shapes infection risk and distribution but is also modulated by parasites.

Indexed as

AntsCaenorhabditisAnimalsGene Expression Profiling

Identifiers

PMID37634010
PMCPMC10460416
OpenAlexW4386189915

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.