Numerical study of the volcano e ect in chemotactic aggregation based on a kinetic transport equation with non-instantaneous tumbling
Shugo Yasuda

TL;DR
This study uses Monte Carlo simulations and continuum models to analyze how adaptation time and tumbling duration influence chemotactic bacterial aggregation, revealing conditions that lead to a volcano-shaped aggregation profile.
Contribution
It identifies the parameter regimes and scaling laws that produce the volcano effect in bacterial chemotaxis, highlighting the coupling of diffusion, adaptation, and tumbling duration.
Findings
Aggregation becomes steeper with increasing adaptation time at small values.
Aggregation becomes more diffusive with increasing adaptation time at large values.
The volcano-shaped aggregation profile occurs at large adaptation times with sufficient tumbling duration.
Abstract
Aggregation of chemotactic bacteria under a unimodal distribution of chemical cues was investigated by Monte Carlo (MC) simulation based on a kinetic transport equation, which considers an internal adaptation dynamics as well as a finite tumbling duration. It was found that there exist two different regimes of the adaptation time, between which the effect of the adaptation time on the aggregation behavior is reversed; that is, when the adaptation time is as small as the running duration, the aggregation becomes increasingly steeper as the adaptation time increases, while, when the adaptation time is as large as the diffusion time of the population density, the aggregation becomes more diffusive as the adaptation time increases. Moreover, the aggregation profile becomes bimodal (volcano) at the large adaptation-time regime when the tumbling duration is sufficiently large while it is…
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Taxonomy
TopicsMathematical Biology Tumor Growth · Molecular Communication and Nanonetworks · Advanced Thermodynamics and Statistical Mechanics
