Ant social network structure is highly conserved across species.

ants collective behaviour division of labour social insects social network analysis social organization

Journal

Proceedings. Biological sciences
ISSN: 1471-2954
Titre abrégé: Proc Biol Sci
Pays: England
ID NLM: 101245157

Informations de publication

Date de publication:
Jul 2024
Historique:
medline: 31 7 2024
pubmed: 31 7 2024
entrez: 30 7 2024
Statut: ppublish

Résumé

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.

Identifiants

pubmed: 39079671
doi: 10.1098/rspb.2024.0898
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

20240898

Subventions

Organisme : H2020 European Research Council

Auteurs

Tomas Kay (T)

Laboratory of Social Evolution and Behavior, The Rockefeller University , New York, NY, USA.
Department of Ecology and Evolution, University of Lausanne , Lausanne, Switzerland.

Alba Motes-Rodrigo (A)

Department of Ecology and Evolution, University of Lausanne , Lausanne, Switzerland.

Arthur Royston (A)

Department of Ecology and Evolution, University of Lausanne , Lausanne, Switzerland.

Thomas O Richardson (TO)

School of Biological Sciences, University of Bristol , Bristol, UK.

Nathalie Stroeymeyt (N)

School of Biological Sciences, University of Bristol , Bristol, UK.

Laurent Keller (L)

Department of Ecology and Evolution, University of Lausanne , Lausanne, Switzerland.

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Classifications MeSH