Multi-fractal characterization of bacterial swimming dynamics: a case study on real and simulated Serratia marcescens

Author:

Koorehdavoudi Hana1ORCID,Bogdan Paul2,Wei Guopeng3,Marculescu Radu3,Zhuang Jiang4,Carlsen Rika Wright45,Sitti Metin46

Affiliation:

1. Department of Aerospace and Mechanical Engineering, University of Southern California, Los Angeles, CA 90089-1453, USA

2. Department of Electrical Engineering, University of Southern California, Los Angeles, CA 90089-2560, USA

3. Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, USA

4. Department of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, USA

5. Department of Engineering, Robert Morris University, Pittsburgh, PA 15108, USA

6. Physical Intelligence Department, Max-Planck Institute for Intelligent Systems, 70569 Stuttgart, Germany

Abstract

To add to the current state of knowledge about bacterial swimming dynamics, in this paper, we study the fractal swimming dynamics of populations of Serratia marcescens bacteria both in vitro and in silico , while accounting for realistic conditions like volume exclusion, chemical interactions, obstacles and distribution of chemoattractant in the environment. While previous research has shown that bacterial motion is non-ergodic, we demonstrate that, besides the non-ergodicity, the bacterial swimming dynamics is multi-fractal in nature. Finally, we demonstrate that the multi-fractal characteristic of bacterial dynamics is strongly affected by bacterial density and chemoattractant concentration.

Funder

National Science Foundation (NSF) Cyber physical System (CPS) program

US National Science Foundation (NSF) CAREER Award

Publisher

The Royal Society

Subject

General Physics and Astronomy,General Engineering,General Mathematics

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