Role of Non-Exponential Reversal times in Aggregation Models of Bacterial Populations

Fuente: arXiv
Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Batista, Michael, Murphy, Patrick, Igoshin, Oleg A., Perepelitsa, Misha, Timofeyev, Ilya
Format: Preprint
Veröffentlicht: 2024
Schlagworte:
Online-Zugang:
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
_version_ 1866915003668365312
author Batista, Michael
Murphy, Patrick
Igoshin, Oleg A.
Perepelitsa, Misha
Timofeyev, Ilya
author_facet Batista, Michael
Murphy, Patrick
Igoshin, Oleg A.
Perepelitsa, Misha
Timofeyev, Ilya
contents In this paper, we consider 1D agent-based and kinetic models of aggregation with reversals. In particular, we fit a Gamma distribution to represent the run times in myxobacteria and analyze numerically the importance of non-exponential reversal times. We demonstrate that non-exponential reversal times aid aggregation and result in tighter aggregates. We compare and contrast the behavior of agent-based and kinetic models, and also consider kinetic models with aggregation driven by chemotaxis. Thus, incorporating non-exponential reversal times into models of aggregation can be particularly important for reproducing experimental data, such as aggregate persistence and dispersal.
format Preprint
id arxiv_https___arxiv_org_abs_2411_01735
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Role of Non-Exponential Reversal times in Aggregation Models of Bacterial Populations
Batista, Michael
Murphy, Patrick
Igoshin, Oleg A.
Perepelitsa, Misha
Timofeyev, Ilya
Biological Physics
Cell Behavior
92B99, 82B99
In this paper, we consider 1D agent-based and kinetic models of aggregation with reversals. In particular, we fit a Gamma distribution to represent the run times in myxobacteria and analyze numerically the importance of non-exponential reversal times. We demonstrate that non-exponential reversal times aid aggregation and result in tighter aggregates. We compare and contrast the behavior of agent-based and kinetic models, and also consider kinetic models with aggregation driven by chemotaxis. Thus, incorporating non-exponential reversal times into models of aggregation can be particularly important for reproducing experimental data, such as aggregate persistence and dispersal.
title Role of Non-Exponential Reversal times in Aggregation Models of Bacterial Populations
topic Biological Physics
Cell Behavior
92B99, 82B99
url https://arxiv.org/abs/2411.01735