Multi-fractal characterization of bacterial swimming dynamics: a case study on real and simulated Serratia marcescens
Author(s) -
Hana Koorehdavoudi,
Paul Bogdan,
Guopeng Wei,
Radu Mărculescu,
Zhuang Jiang,
Rika Wright Carlsen,
Metin Sitti
Publication year - 2017
Publication title -
proceedings of the royal society a mathematical physical and engineering sciences
Language(s) - English
Resource type - Journals
eISSN - 1471-2946
pISSN - 1364-5021
DOI - 10.1098/rspa.2017.0154
Subject(s) - serratia marcescens , fractal , dynamics (music) , in silico , biological system , ergodicity , chemotaxis , bacterial colony , ergodic theory , biology , bacteria , statistical physics , microbiology and biotechnology , physics , mathematics , escherichia coli , statistics , biochemistry , mathematical analysis , genetics , receptor , acoustics , gene
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.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom