Literature DB >> 11590602

Quantification of random motility and chemotaxis bacterial transport coefficients using individual-cell and population-scale assays.

P Lewus1, R M Ford.   

Abstract

A number of individual-cell and population-scale assays have been introduced to quantify bacterial motility and chemotaxis. The transport coefficients reported in the literature, however, span several orders of magnitude, making it difficult to ascertain to what degree variations in bacterial species/strain, growth medium, growth and experimental conditions, and experiment type contribute to the reported differences in coefficient values. We quantified the random motility of Escherichia coli AW405 using the capillary assay, stopped-flow diffusion chamber (SFDC), and tracking microscope. We obtained good agreement for the random motility coefficient between these assays when using the same bacterial strain and consistent growth and experimental conditions. Chemotaxis of E. coli toward the attractant alpha-methylaspartate was quantified using the SFDC and capillary assay. Good agreement for the chemotactic sensitivity coefficient between the SFDC and the capillary assay was obtained across a limited attractant concentration range. Three different mathematical models were considered for analyzing capillary assay data to obtain a chemotactic sensitivity coefficient. These models differed by their treatment of the bacterial concentration in the chamber and the attractant concentration at the mouth. Results from our study indicate that the capillary assay, the most commonly used bacterial random motility and chemotaxis assay, can be used to accurately quantify bacterial transport coefficients over a limited range of attractant concentrations, provided experiments are performed carefully and appropriate mathematical models are used to interpret the experimental data. Copyright 2001 John Wiley & Sons, Inc.

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Year:  2001        PMID: 11590602     DOI: 10.1002/bit.10021

Source DB:  PubMed          Journal:  Biotechnol Bioeng        ISSN: 0006-3592            Impact factor:   4.530


  13 in total

1.  A sensitive, versatile microfluidic assay for bacterial chemotaxis.

Authors:  Hanbin Mao; Paul S Cremer; Michael D Manson
Journal:  Proc Natl Acad Sci U S A       Date:  2003-04-18       Impact factor: 11.205

2.  Collective bacterial dynamics revealed using a three-dimensional population-scale defocused particle tracking technique.

Authors:  Mingming Wu; John W Roberts; Sue Kim; Donald L Koch; Matthew P DeLisa
Journal:  Appl Environ Microbiol       Date:  2006-07       Impact factor: 4.792

3.  Continuous-flow capillary assay for measuring bacterial chemotaxis.

Authors:  Aaron M J Law; Michael D Aitken
Journal:  Appl Environ Microbiol       Date:  2005-06       Impact factor: 4.792

4.  A simple immune system simulation reveals optimal movement and cell density parameters for successful target clearance.

Authors:  David Nicholson; Lindsay B Nicholson
Journal:  Immunology       Date:  2007-11-05       Impact factor: 7.397

5.  Modeling of microorganisms transport in a cylindrical pore.

Authors:  Hong-Ze Gang; Mei-Tang Liu; Bo-Zhong Mu
Journal:  J Ind Microbiol Biotechnol       Date:  2008-01-22       Impact factor: 3.346

6.  Experimental verification of the behavioral foundation of bacterial transport parameters using microfluidics.

Authors:  Tanvir Ahmed; Roman Stocker
Journal:  Biophys J       Date:  2008-07-25       Impact factor: 4.033

7.  Reversal of flagellar rotation is important in initial attachment of Escherichia coli to glass in a dynamic system with high- and low-ionic-strength buffers.

Authors:  Jennifer W McClaine; Roseanne M Ford
Journal:  Appl Environ Microbiol       Date:  2002-03       Impact factor: 4.792

8.  Bacterial chemotaxis in linear and nonlinear steady microfluidic gradients.

Authors:  Tanvir Ahmed; Thomas S Shimizu; Roman Stocker
Journal:  Nano Lett       Date:  2010-09-08       Impact factor: 11.189

9.  Quantitative analysis of transverse bacterial migration induced by chemotaxis in a packed column with structured physical heterogeneity.

Authors:  Meng Wang; Roseanne M Ford
Journal:  Environ Sci Technol       Date:  2010-01-15       Impact factor: 9.028

10.  Transverse bacterial migration induced by chemotaxis in a packed column with structured physical heterogeneity.

Authors:  Meng Wang; Roseanne M Ford
Journal:  Environ Sci Technol       Date:  2009-08-01       Impact factor: 9.028

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