Imperial College London

ProfessorRobertEndres

Faculty of Natural SciencesDepartment of Life Sciences

Professor of Systems Biology
 
 
 
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Contact

 

+44 (0)20 7594 9537r.endres Website

 
 
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Location

 

315Sir Ernst Chain BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Ding:2019:10.7554/eLife.43318,
author = {Ding, SS and Schumacher, L and Javer, A and Endres, R and Brown, A},
doi = {10.7554/eLife.43318},
journal = {eLife},
title = {Shared behavioral mechanisms underlie C. elegans aggregation and swarming},
url = {http://dx.doi.org/10.7554/eLife.43318},
volume = {8},
year = {2019}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - In complex biological systems, simple individual-level behavioral rules can give rise to emergent group-level behavior. While collective behavior has been well studied in cells and larger organisms, the mesoscopic scale is less understood, as it is unclear which sensory inputs and physical processes matter a priori. Here, we investigate collective feeding in the roundworm C. elegans at this intermediate scale, using quantitative phenotyping and agent-based modeling to identify behavioral rules underlying both aggregation and swarming—a dynamic phenotype only observed at longer timescales. Using fluorescence multi-worm tracking, we quantify aggregation in terms of individual dynamics and population-level statistics. Then we use agent-based simulations and approximate Bayesian inference to identify three key behavioral rules for aggregation: cluster-edge reversals, a density-dependent switch between crawling speeds, and taxis towards neighboring worms. Our simulations suggest that swarming is simply driven by local food depletion but otherwise employs the same behavioral mechanisms as the initial aggregation.
AU - Ding,SS
AU - Schumacher,L
AU - Javer,A
AU - Endres,R
AU - Brown,A
DO - 10.7554/eLife.43318
PY - 2019///
SN - 2050-084X
TI - Shared behavioral mechanisms underlie C. elegans aggregation and swarming
T2 - eLife
UR - http://dx.doi.org/10.7554/eLife.43318
UR - http://hdl.handle.net/10044/1/70267
VL - 8
ER -