Short-term activity cycles impede information transmission in ant colonies.

Rhythmical activity patterns are ubiquitous in nature. We study an oscillatory biological system: collective activity cycles in ant colonies. Ant colonies have become model systems for research on biological networks because the interactions between the component parts are visible to the naked eye,...

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Main Authors: Thomas O Richardson, Jonas I Liechti, Nathalie Stroeymeyt, Sebastian Bonhoeffer, Laurent Keller
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2017-05-01
Series:PLoS Computational Biology
Online Access:http://europepmc.org/articles/PMC5443549?pdf=render
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spelling doaj-9ea75118119d48fb97310ef0d65c72982020-11-24T22:04:01ZengPublic Library of Science (PLoS)PLoS Computational Biology1553-734X1553-73582017-05-01135e100552710.1371/journal.pcbi.1005527Short-term activity cycles impede information transmission in ant colonies.Thomas O RichardsonJonas I LiechtiNathalie StroeymeytSebastian BonhoefferLaurent KellerRhythmical activity patterns are ubiquitous in nature. We study an oscillatory biological system: collective activity cycles in ant colonies. Ant colonies have become model systems for research on biological networks because the interactions between the component parts are visible to the naked eye, and because the time-ordered contact network formed by these interactions serves as the substrate for the distribution of information and other resources throughout the colony. To understand how the collective activity cycles influence the contact network transport properties, we used an automated tracking system to record the movement of all the individuals within nine different ant colonies. From these trajectories we extracted over two million ant-to-ant interactions. Time-series analysis of the temporal fluctuations of the overall colony interaction and movement rates revealed that both the period and amplitude of the activity cycles exhibit a diurnal cycle, in which daytime cycles are faster and of greater amplitude than night cycles. Using epidemiology-derived models of transmission over networks, we compared the transmission properties of the observed periodic contact networks with those of synthetic aperiodic networks. These simulations revealed that contrary to some predictions, regularly-oscillating contact networks should impede information transmission. Further, we provide a mechanistic explanation for this effect, and present evidence in support of it.http://europepmc.org/articles/PMC5443549?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Thomas O Richardson
Jonas I Liechti
Nathalie Stroeymeyt
Sebastian Bonhoeffer
Laurent Keller
spellingShingle Thomas O Richardson
Jonas I Liechti
Nathalie Stroeymeyt
Sebastian Bonhoeffer
Laurent Keller
Short-term activity cycles impede information transmission in ant colonies.
PLoS Computational Biology
author_facet Thomas O Richardson
Jonas I Liechti
Nathalie Stroeymeyt
Sebastian Bonhoeffer
Laurent Keller
author_sort Thomas O Richardson
title Short-term activity cycles impede information transmission in ant colonies.
title_short Short-term activity cycles impede information transmission in ant colonies.
title_full Short-term activity cycles impede information transmission in ant colonies.
title_fullStr Short-term activity cycles impede information transmission in ant colonies.
title_full_unstemmed Short-term activity cycles impede information transmission in ant colonies.
title_sort short-term activity cycles impede information transmission in ant colonies.
publisher Public Library of Science (PLoS)
series PLoS Computational Biology
issn 1553-734X
1553-7358
publishDate 2017-05-01
description Rhythmical activity patterns are ubiquitous in nature. We study an oscillatory biological system: collective activity cycles in ant colonies. Ant colonies have become model systems for research on biological networks because the interactions between the component parts are visible to the naked eye, and because the time-ordered contact network formed by these interactions serves as the substrate for the distribution of information and other resources throughout the colony. To understand how the collective activity cycles influence the contact network transport properties, we used an automated tracking system to record the movement of all the individuals within nine different ant colonies. From these trajectories we extracted over two million ant-to-ant interactions. Time-series analysis of the temporal fluctuations of the overall colony interaction and movement rates revealed that both the period and amplitude of the activity cycles exhibit a diurnal cycle, in which daytime cycles are faster and of greater amplitude than night cycles. Using epidemiology-derived models of transmission over networks, we compared the transmission properties of the observed periodic contact networks with those of synthetic aperiodic networks. These simulations revealed that contrary to some predictions, regularly-oscillating contact networks should impede information transmission. Further, we provide a mechanistic explanation for this effect, and present evidence in support of it.
url http://europepmc.org/articles/PMC5443549?pdf=render
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AT nathaliestroeymeyt shorttermactivitycyclesimpedeinformationtransmissioninantcolonies
AT sebastianbonhoeffer shorttermactivitycyclesimpedeinformationtransmissioninantcolonies
AT laurentkeller shorttermactivitycyclesimpedeinformationtransmissioninantcolonies
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