The complex swarming dynamics of malaria mosquitoes emerge from simple minimally-interactive behavioral rules

Swarming is a widespread collective behavior in animals, often thought to emerge from complex interactions among individuals. Here, we show that mating swarms of malaria mosquitoes can emerge from simple behavioral rules with minimal interaction between individuals. We analyzed two published experimental datasets with three-dimensional flight tracks of Anopheles coluzzii mosquitoes swarming in the lab under simulated sunset conditions and above a visual marker. We found that individuals alternate between straight flight and rapid turning maneuvers known as saccades. These saccades are triggered at the edge of the swarm, and their directions are biased along the sunset direction. This behavior was found consistent between both laboratory datasets, including swarming of solitary individuals; this indicates that inter‑individual interactions may play a limited role within the small-to-medium sized swarms that we studied. We developed a simple agent-based model incorporating three behavioral rules: attraction to the swarm center, alignment normal to the sunset horizon, both driven by environmental cues, and repulsion through short-range collision avoidance. This parsimonious model reproduced key features of the observed laboratory mosquito swarms, including looping flight paths, central density peaks, and directional alignment. Even in the absence of direct inter‑individual interactions, the model generated realistic emergent swarm dynamics, suggesting that social coordination is not required for swarm emergence. Although our lab-based findings remain to be confirmed across more naturalistic conditions, they suggest that the most parsimonious hypothesis behind male mosquito swarming is that it is primarily guided by environmental perception rather than social interaction. This minimal framework offers a new perspective on insect swarming and may apply broadly to the many other insect species that form mating swarms. Understanding the behavioral rules of mosquito swarming could inform strategies for vector control and improve the effectiveness of interventions targeting mosquito reproduction.

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Publication Details

Journal
PLoS Computational Biology
Published
2026-08-26
DOI
https://doi.org/10.1371/journal.pcbi.1014685
Primary Topic
Neurobiology and Insect Physiology Research
Type
article
Field-Weighted Citation Impact
0.00

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article

The complex swarming dynamics of malaria mosquitoes emerge from simple minimally-interactive behavioral rules

Olivier Roux, Antoine Cribellier, Roch K. Dabiré, Bèwadéyir Serge Poda et al.
PLoS Computational Biology
Neurobiology and Insect Physiology Research
article

The complex swarming dynamics of malaria mosquitoes emerge from simple minimally-interactive behavioral rules

Olivier Roux, Antoine Cribellier, Roch K. Dabiré, Bèwadéyir Serge Poda, Florian T. Muijres, Abdoulaye Diabaté
article en

Abstract

Swarming is a widespread collective behavior in animals, often thought to emerge from complex interactions among individuals. Here, we show that mating swarms of malaria mosquitoes can emerge from simple behavioral rules with minimal interaction between individuals. We analyzed two published experimental datasets with three-dimensional flight tracks of Anopheles coluzzii mosquitoes swarming in the lab under simulated sunset conditions and above a visual marker. We found that individuals alternate between straight flight and rapid turning maneuvers known as saccades. These saccades are triggered at the edge of the swarm, and their directions are biased along the sunset direction. This behavior was found consistent between both laboratory datasets, including swarming of solitary individuals; this indicates that inter‑individual interactions may play a limited role within the small-to-medium sized swarms that we studied. We developed a simple agent-based model incorporating three behavioral rules: attraction to the swarm center, alignment normal to the sunset horizon, both driven by environmental cues, and repulsion through short-range collision avoidance. This parsimonious model reproduced key features of the observed laboratory mosquito swarms, including looping flight paths, central density peaks, and directional alignment. Even in the absence of direct inter‑individual interactions, the model generated realistic emergent swarm dynamics, suggesting that social coordination is not required for swarm emergence. Although our lab-based findings remain to be confirmed across more naturalistic conditions, they suggest that the most parsimonious hypothesis behind male mosquito swarming is that it is primarily guided by environmental perception rather than social interaction. This minimal framework offers a new perspective on insect swarming and may apply broadly to the many other insect species that form mating swarms. Understanding the behavioral rules of mosquito swarming could inform strategies for vector control and improve the effectiveness of interventions targeting mosquito reproduction.

PLoS Computational BiologyVol. 22(8)
Centre National de la Recherche Scientifique (FR), Université de Montpellier (FR), Institut de Recherche en Sciences de la Santé (BF), Institut de Recherche pour le Développement (FR), Wageningen University & Research (NL)
Human Frontier Science Program, Institut de Recherche pour le Développement, Agence Nationale de la Recherche, Nederlandse Organisatie voor Wetenschappelijk Onderzoek, Wageningen University and Research
Openalex Percentile: Top 15%
Neurobiology and Insect Physiology Research
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