{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,7]],"date-time":"2026-10-07T01:42:41Z","timestamp":1791337361100,"version":"4.3.1"},"update-to":[{"DOI":"10.1371\/journal.pcbi.1014685","type":"new_version","label":"New version","source":"publisher","updated":{"date-parts":[[2026,8,31]],"date-time":"2026-08-31T00:00:00Z","timestamp":1788134400000}}],"reference-count":70,"publisher":"Public Library of Science (PLoS)","issue":"8","license":[{"start":{"date-parts":[[2026,8,26]],"date-time":"2026-08-26T00:00:00Z","timestamp":1787702400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100004412","name":"Human Frontier Science Program","doi-asserted-by":"publisher","award":["RGP0044\/2021"],"award-info":[{"award-number":["RGP0044\/2021"]}],"id":[{"id":"10.13039\/100004412","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001665","name":"Agence Nationale de la Recherche","doi-asserted-by":"publisher","award":["ANR-10 15-CE35-0001-01"],"award-info":[{"award-number":["ANR-10 15-CE35-0001-01"]}],"id":[{"id":"10.13039\/501100001665","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003246","name":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek","doi-asserted-by":"publisher","award":["I\/VI.Vidi.193.054"],"award-info":[{"award-number":["I\/VI.Vidi.193.054"]}],"id":[{"id":"10.13039\/501100003246","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100012947","name":"Institut de Recherche pour le D\u00e9veloppement","doi-asserted-by":"crossref","id":[{"id":"10.13039\/100012947","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Sectorplan Biology of the Dutch Ministry of Education, Culture and Science"},{"DOI":"10.13039\/100012947","name":"Institut de Recherche pour le D\u00e9veloppement","doi-asserted-by":"crossref","id":[{"id":"10.13039\/100012947","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Government of Burkina Faso"},{"DOI":"10.13039\/501100004890","name":"Wageningen University and Research","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004890","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["www.ploscompbiol.org"],"crossmark-restriction":false},"short-container-title":["PLoS Comput Biol"],"abstract":"<jats:p>\n                    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\n                    <jats:italic>Anopheles coluzzii<\/jats:italic>\n                    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\u2011individual 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\u2011individual 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.\n                  <\/jats:p>","DOI":"10.1371\/journal.pcbi.1014685","type":"journal-article","created":{"date-parts":[[2026,8,26]],"date-time":"2026-08-26T17:45:55Z","timestamp":1787766355000},"page":"e1014685","update-policy":"https:\/\/doi.org\/10.1371\/journal.pcbi.corrections_policy","source":"Crossref","is-referenced-by-count":1,"title":["The complex swarming dynamics of malaria mosquitoes emerge from simple minimally-interactive behavioral rules"],"prefix":"10.1371","volume":"22","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5113-7531","authenticated-orcid":true,"given":"Antoine","family":"Cribellier","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"B\u00e8wad\u00e9yir 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