Evidence map›Paper›PMID 39079671›Full record

ArticleProceedings. Biological sciences2024

Ant social network structure is highly conserved across species.

Tomas Kay, Alba Motes-Rodrigo, Arthur Royston, Thomas O Richardson, Nathalie Stroeymeyt, Laurent Keller

Abstract read
In one paragraph

Article in Proceedings. Biological sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

6 authors.

Tomas KayLaboratory of Social Evolution and Behavior, The Rockefeller University , New York, NY, USA.ORCID 0000-0003-2453-2514
Alba Motes-RodrigoDepartment of Ecology and Evolution, University of Lausanne , Lausanne, Switzerland.
Arthur RoystonDepartment of Ecology and Evolution, University of Lausanne , Lausanne, Switzerland.
Thomas O RichardsonSchool of Biological Sciences, University of Bristol , Bristol, UK.
Nathalie StroeymeytSchool of Biological Sciences, University of Bristol , Bristol, UK.ORCID 0000-0001-8047-449X
Laurent KellerDepartment of Ecology and Evolution, University of Lausanne , Lausanne, Switzerland.

Funding

H2020 European Research Council
6 · The paper itself

Abstract

The ecological success of social insects makes their colony organization fascinating to scientists studying collective systems. In recent years, the combination of automated behavioural tracking and social network analysis has deepened our understanding of many aspects of colony organization. However, because studies have typically worked with single species, we know little about interspecific variation in network structure. Here, we conduct a comparative network analysis across five ant species from five subfamilies, separated by more than 100 Myr of evolution. We find that social network structure is highly conserved across subfamilies. All species studied form modular networks, with two social communities, a similar distribution of individuals between the two communities, and equivalent mapping of task performance onto the communities. Against this backdrop of organizational similarity, queens of the different species occupied qualitatively distinct network positions. The deep conservation of the two community structure implies that the most fundamental behavioural division of labour in social insects is between workers that stay in the nest to rear brood, and those that leave the nest to forage. This division has parallels across the animal kingdom in systems of biparental care and probably represents the most readily evolvable form of behavioural division of labour.

Indexed as

AntsSocial BehaviorAnimalsBehavior, AnimalBiological EvolutionSpecies Specificityantscollective behaviourdivision of laboursocial insectssocial network analysissocial organization

Identifiers

PMID39079671
PMCPMC11288679

What OpenQuestion holds

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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.