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Open Access Research article

Evolution of response dynamics underlying bacterial chemotaxis

Orkun S Soyer1* and Richard A Goldstein2

Author Affiliations

1 Systems Biology Program, College of Engineering, Computing, Mathematics and Physical Sciences, University of Exeter, Exeter, UK

2 Mathematical Biology, National Institute for Medical Research, MRC, Mill Hill, London, UK

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BMC Evolutionary Biology 2011, 11:240  doi:10.1186/1471-2148-11-240

Published: 16 August 2011

Additional files

Additional file 1:

Chemotaxis performance for different strategies. Figure with two panels showing chemotaxis performance for different strategies and different β. Panel A: Chemotaxis performance (as defined in Figure 2) for bacteria with adaptive response, as a function of β, for various values of λ as indicated on the plot, for d = 0.001 and τ = 1000.0. At higher sensitivities optimum value of β shifts to a wider range of higher values. Panel B: Chemotaxis performance for bacteria with linear response, as a function of β, for various values of λ as indicated on the plot, for d = 0.001 and τ = 1000.0.

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Additional file 2:

Alternative chemotaxis performance analyses. Figure with two panels showing alternative analyses of chemotaxis performance for different strategies. Panel A: Chemotaxis performance (as defined in Figure 2) for bacteria with linear (blue) and adaptive (red) responses, as a function of attractant drift velocity d, for infinite τ. Response parameters are optimized for each value of d. Panel B: Average attractant concentration, normalized by maximum attractant concentration, experienced by bacteria with linear (blue) and adaptive (red) responses, as a function of τ for d = 0. Response parameters are optimized for each value of τ. Both plots indicate that linear responses can work effectively for longer τ and smaller d, but that the adaptive response provides superior performance, can find the attractant faster, and is much less sensitive to attractant motion.

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