气候变化领域集成服务门户(CCPortal): Flow-mediated olfactory communication in honeybee swarms

CCPortal

DOI	10.1073/pnas.2011916118
	Flow-mediated olfactory communication in honeybee swarms
	Nguyen D.M.T.; Iuzzolino M.L.; Mankel A.; Bozek K.; Stephens G.J.; Peleg O.
发表日期	2021
ISSN	00278424
卷号	118 期号:13
英文摘要	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. © 2021 National Academy of Sciences. All rights reserved.
英文关键词	Agent-based model; Computer vision; Honeybee; Olfactory communication; Signal propagation
语种	英语
scopus关键词	agent based model; animal behavior; Apis mellifera; Article; assay; behavioral assay; computer model; controlled study; flow mediated olfactory communication; machine learning; nonhuman; odor; population density; priority journal; simulation
来源期刊	Proceedings of the National Academy of Sciences of the United States of America
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/180109
作者单位	Department of Computer Science, University of Colorado Boulder, Boulder, CO 80309, United States; BioFrontiers Institute, University of Colorado Boulder, Boulder, CO 80309, United States; Department of Physics, University of Colorado Boulder, Boulder, CO 80309, United States; Biological Physics Theory Unit, Okinawa Institute of Technology, Okinawa, 904-0495, Japan; Center for Molecular Medicine Cologne, University of Cologne, Cologne, 50931, Germany; Department of Physics and Astronomy, Vrije Universiteit Amsterdam, Amsterdam, 1081 HV, Netherlands; Santa Fe Institute, Santa Fe, NM 87501, United States
推荐引用方式 GB/T 7714	Nguyen D.M.T.,Iuzzolino M.L.,Mankel A.,et al. Flow-mediated olfactory communication in honeybee swarms[J],2021,118(13).
APA	Nguyen D.M.T.,Iuzzolino M.L.,Mankel A.,Bozek K.,Stephens G.J.,&Peleg O..(2021).Flow-mediated olfactory communication in honeybee swarms.Proceedings of the National Academy of Sciences of the United States of America,118(13).
MLA	Nguyen D.M.T.,et al."Flow-mediated olfactory communication in honeybee swarms".Proceedings of the National Academy of Sciences of the United States of America 118.13(2021).