Orateur : Julie Simons
Titre :
The Volcano Effect in Bacterial Chemotaxis
Résumé :
A classic problem in biology is to model organisms at the population
level, circumventing the complexity of describing each individual's
behavior. Population-level models are either written outright by
postulating reasonable macroscopic behavior (often as flux laws with
sources/sinks), or by describing the phenomena on an organism scale
and deducing these laws. In bacterial chemotaxis--the description of
biased motion of bacteria towards optimal environments--the simplest
macroscopic models are written with Keller-Segel (KS) type equations.
Such models are able to capture many aspects of the behavior of a
population, and only recently have been deduced from a reasonable
organism-level description of behavior. There are, however, situations
where the bacterial behavior is not captured by KS models: we focus in
particular on experimental and computational results which demonstrate
that under certain conditions bacteria will aggregate some distance
away from a peak in its attractant. In this work, we propose a
microscopic explanation for this phenomenon and present
population-level models that go beyond the KS models, derived from
organism-level behavior.
Quoting Kar
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CMLA UMR 8536 |
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