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Flow-mediated olfactory communication in honeybee swarms

Honeybee swarms are a landmark example of collective behavior. To become a coherent swarm, bees locate their queen by tracking her pheromones. But how can distant individuals exploit these chemical signals, which decay rapidly in space and time? Here, we combine a behavioral assay with the machine v...

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Autores principales: Nguyen, Dieu My T., Iuzzolino, Michael L., Mankel, Aaron, Bozek, Katarzyna, Stephens, Greg J., Peleg, Orit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8020754/
https://www.ncbi.nlm.nih.gov/pubmed/33758099
http://dx.doi.org/10.1073/pnas.2011916118
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author Nguyen, Dieu My T.
Iuzzolino, Michael L.
Mankel, Aaron
Bozek, Katarzyna
Stephens, Greg J.
Peleg, Orit
author_facet Nguyen, Dieu My T.
Iuzzolino, Michael L.
Mankel, Aaron
Bozek, Katarzyna
Stephens, Greg J.
Peleg, Orit
author_sort Nguyen, Dieu My T.
collection PubMed
description Honeybee swarms are a landmark example of collective behavior. To become a coherent swarm, bees locate their queen by tracking her pheromones. But how can distant individuals exploit these chemical signals, which decay rapidly in space and time? Here, we combine a behavioral assay with the machine vision detection of organism location and scenting (pheromone propagation via wing fanning) behavior to track the search and aggregation dynamics of the honeybee Apis mellifera L. We find that bees collectively create a scenting-mediated communication network by arranging in a specific spatial distribution where there is a characteristic distance between individuals and directional signaling away from the queen. To better understand such a flow-mediated directional communication strategy, we developed an agent-based model where bee agents obeying simple, local behavioral rules exist in a flow environment in which the chemical signals diffuse and decay. Our model serves as a guide to exploring how physical parameters affect the collective scenting behavior and shows that increased directional bias in scenting leads to a more efficient aggregation process that avoids local equilibrium configurations of isotropic (nondirectional and axisymmetric) communication, such as small bee clusters that persist throughout the simulation. Our results highlight an example of extended classical stigmergy: Rather than depositing static information in the environment, individual bees locally sense and globally manipulate the physical fields of chemical concentration and airflow.
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spelling pubmed-80207542021-04-13 Flow-mediated olfactory communication in honeybee swarms Nguyen, Dieu My T. Iuzzolino, Michael L. Mankel, Aaron Bozek, Katarzyna Stephens, Greg J. Peleg, Orit Proc Natl Acad Sci U S A Biological Sciences Honeybee swarms are a landmark example of collective behavior. To become a coherent swarm, bees locate their queen by tracking her pheromones. But how can distant individuals exploit these chemical signals, which decay rapidly in space and time? Here, we combine a behavioral assay with the machine vision detection of organism location and scenting (pheromone propagation via wing fanning) behavior to track the search and aggregation dynamics of the honeybee Apis mellifera L. We find that bees collectively create a scenting-mediated communication network by arranging in a specific spatial distribution where there is a characteristic distance between individuals and directional signaling away from the queen. To better understand such a flow-mediated directional communication strategy, we developed an agent-based model where bee agents obeying simple, local behavioral rules exist in a flow environment in which the chemical signals diffuse and decay. Our model serves as a guide to exploring how physical parameters affect the collective scenting behavior and shows that increased directional bias in scenting leads to a more efficient aggregation process that avoids local equilibrium configurations of isotropic (nondirectional and axisymmetric) communication, such as small bee clusters that persist throughout the simulation. Our results highlight an example of extended classical stigmergy: Rather than depositing static information in the environment, individual bees locally sense and globally manipulate the physical fields of chemical concentration and airflow. National Academy of Sciences 2021-03-30 2021-03-23 /pmc/articles/PMC8020754/ /pubmed/33758099 http://dx.doi.org/10.1073/pnas.2011916118 Text en Copyright © 2021 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by-nc-nd/4.0/ https://creativecommons.org/licenses/by-nc-nd/4.0/This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Biological Sciences
Nguyen, Dieu My T.
Iuzzolino, Michael L.
Mankel, Aaron
Bozek, Katarzyna
Stephens, Greg J.
Peleg, Orit
Flow-mediated olfactory communication in honeybee swarms
title Flow-mediated olfactory communication in honeybee swarms
title_full Flow-mediated olfactory communication in honeybee swarms
title_fullStr Flow-mediated olfactory communication in honeybee swarms
title_full_unstemmed Flow-mediated olfactory communication in honeybee swarms
title_short Flow-mediated olfactory communication in honeybee swarms
title_sort flow-mediated olfactory communication in honeybee swarms
topic Biological Sciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8020754/
https://www.ncbi.nlm.nih.gov/pubmed/33758099
http://dx.doi.org/10.1073/pnas.2011916118
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