Flow-mediated olfactory communication in honeybee swarms.
Flow-mediated olfactory communication in honeybee swarms.
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DOI:
10.1073/pnas.2011916118
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发表时间:
2021-03-30
影响因子:
11.1
通讯作者:
Peleg O
中科院分区:
文献类型:
--
作者:
Nguyen DMT;Iuzzolino ML;Mankel A;Bozek K;Stephens GJ;Peleg O
We show that bees locate their queen by performing a cascade of “scenting” events, where individual bees direct their pheromone signals by fanning their wings. The bees create a dynamic spatiotemporal network that recruits new broadcasting bees over time, as the pheromones travel a distance that is orders of magnitude the length of an individual. We develop high-throughput machine learning tools to identify the locations and timings of scenting events, and demonstrate that these events integrate into a global “map” that leads to the queen. We use these results to build an agent-based model that illustrates the advantage of the directional signaling in amplifying the pheromones, thus leading to an effective search and aggregation process. 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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影响因子:
44.1
作者:
Benichou, O.;Loverdo, C.;Voituriez, R.
通讯作者:
Voituriez, R.
影响因子:
3.4
作者:
Brenner, MP;Levitov, LS;Budrene, EO
通讯作者:
Budrene, EO
影响因子:
2.2
作者:
Pankiw, T;Huang, ZY;Robinson, GE
通讯作者:
Robinson, GE
影响因子:
19.6
作者:
Peleg, O.;Peters, J. M.;Mahadevan, L.
通讯作者:
Mahadevan, L.
DOI:
10.1016/j.cub.2016.03.040
发表时间:
2016-05-23
期刊:
Current biology : CB
影响因子:
--
作者:
Gire DH;Kapoor V;Arrighi-Allisan A;Seminara A;Murthy VN
通讯作者:
Murthy VN