Open AccessTurn angle and run time distributions characterize swimming behavior for Pseudomonas putida
Author(s) -
Kevin J. Duffy,
Roseanne M. Ford
Publication year - 1997
Publication title -
journal of bacteriology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.652
H-Index - 246
eISSN - 1067-8832
pISSN - 0021-9193
DOI - 10.1128/jb.179.4.1428-1430.1997
Subject(s) - pseudomonas putida , biology , monte carlo method , tracking (education) , contact angle , distribution (mathematics) , biological system , escherichia coli , bacteria , physics , statistics , biochemistry , mathematical analysis , genetics , mathematics , thermodynamics , psychology , pedagogy , gene
The swimming behavior of Pseudomonas putida was analyzed with a tracking microscope to quantify its run time and turn angle distributions. Monte Carlo computer simulations illustrated that the bimodal turn angle distribution of P. putida reduced collisions with obstacles in porous media in comparison to the unimodal distribution of Escherichia coli.