Phoretic interactions and oscillations in active suspensions of growing Escherichia coli

Author:

Šimkus Remigijus1ORCID,Meškienė Rita1,Aučynaitė Agota1,Ledas Žilvinas2,Baronas Romas2,Meškys Rolandas1

Affiliation:

1. Institute of Biochemistry, Life Sciences Center, Vilnius University, Sauletekio al. 7, 10257 Vilnius, Lithuania

2. Faculty of Mathematics and Informatics, Vilnius University, Naugarduko 24, 03225 Vilnius, Lithuania

Abstract

Bioluminescence imaging experiments were carried out to characterize spatio-temporal patterns of bacterial self-organization in active suspensions (cultures) of bioluminescent Escherichia coli and its mutants. An analysis of the effects of mutations shows that spatio-temporal patterns formed in standard microtitre plates are not related to the chemotaxis system of bacteria. In fact, these patterns are strongly dependent on the properties of mutants that characterize them as self-phoretic (non-flagellar) swimmers. In particular, the observed patterns are essentially dependent on the efficiency of proton translocation across membranes and the smoothness of the cell surface. These characteristics can be associated, respectively, with the surface activity and the phoretic mobility of a colloidal swimmer. An analysis of the experimental data together with mathematical modelling of pattern formation suggests the following: (1) pattern-forming processes can be described by Keller–Segel-type models of chemotaxis with logistic cell kinetics; (2) active cells can be seen as biochemical oscillators that exhibit phoretic drift and alignment; and (3) the spatio-temporal patterns in a suspension of growing E. coli form due to phoretic interactions between oscillating cells of high metabolic activity.

Funder

The Research Council of Lithuania

Publisher

The Royal Society

Subject

Multidisciplinary

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Interactions in active colloids;Journal of Physics: Condensed Matter;2021-12-09

2. Modeling Biosensors Utilizing Microbial Cells;Springer Series on Chemical Sensors and Biosensors;2020-12-05

3. Profiles of volatile indole emitted by Escherichia coli based on CDI-MS;Scientific Reports;2019-09-11

4. COMPUTATIONAL MODELING OF SELF-ORGANIZATION OF BACTERIAL POPULATION CONSISTING OF SUBPOPULATIONS OF ACTIVE AND PASSIVE CELLS;Journal of Biological Systems;2019-09

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