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Migration and accumulation of bacteria with chemotaxis and chemokinesis

Lookup NU author(s): Dr Otti CrozeORCiD

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Abstract

Bacteria can chemotactically migrate up attractant gradients by controlling run-and-tumble motility patterns. In addition to this well-known chemotactic behaviour, several soil and marine bacterial species perform chemokinesis; they adjust their swimming speed according to the local concentration of chemoeffector, with higher speed at higher concentration. A field of attractant then induces a spatially varying swimming speed, which results in a drift towards lower attractant concentrations—contrary to the drift created by chemotaxis. Here, to explore the biological benefits of chemokinesis and investigate its impact on the chemotactic response, we extend a Keller–Segel-type model to include chemokinesis. We apply the model to predict the dynamics of bacterial populations capable of chemokinesis and chemotaxis in chemoeffector fields inspired by microfluidic and agar plate migration assays. We find that chemokinesis combined with chemotaxis not only may enhance the population response with respect to pure chemotaxis, but also modifies it qualitatively. We conclude presenting predictions for bacteria around dynamic finite-size nutrient sources, simulating, e.g. a marine particle or a root. We show that chemokinesis can reduce the measuring bias that is created by a decaying attractant gradient.


Publication metadata

Author(s): Jakuszeit T, Lindsey-Jones J, Peaudecerf FJ, Croze OA

Publication type: Article

Publication status: Published

Journal: The European Physical Journal E

Year: 2021

Volume: 44

Print publication date: 15/03/2021

Online publication date: 12/03/2021

Acceptance date: 05/01/2021

Date deposited: 18/03/2021

ISSN (print): 1292-8941

ISSN (electronic): 1292-895X

Publisher: Springer

URL: https://doi.org/10.1140/epje/s10189-021-00009-w

DOI: 10.1140/epje/s10189-021-00009-w

PubMed id: 33721117


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Funding

Funder referenceFunder name
798411
EP/N509620/1
EP/L504920/1

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