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POSTERS - BLAST X - University of Utah

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<strong>BLAST</strong> X Poster #44<br />

A CROSS-SPECIES COMPARISION OF CHEMOTACTIC BEHAVIOR<br />

Julie Simons and Paul Milewski<br />

<strong>University</strong> <strong>of</strong> Wisconsin—Madison, Department <strong>of</strong> Mathematics, 480 Lincoln Dr., Madison, WI<br />

53706<br />

Understanding the population-level behavior <strong>of</strong> bacteria is <strong>of</strong> importance not only in<br />

exploring how simple organisms can perform complex behavior, but also to be able to optimize<br />

their potential for bioremediation and other uses. We are interested in modeling the<br />

chemotactic behavior <strong>of</strong> Rhodobacter sphaeroides and the better-understood Escherichia coli<br />

using a partial differential equation model known as the Keller-Segel model and experimental<br />

data, with the aim <strong>of</strong> being able to make a cross-species comparison. Swarm-plate experiments<br />

with uniform concentrations <strong>of</strong> the chemoattractant L-aspartate were performed for both bacteria<br />

over several concentrations <strong>of</strong> aspartate. Separately, growth experiments in liquid cultures were<br />

undertaken to quantify differences in aspartate concentration dependent growth between the<br />

two species. From the data we are able to determine parameter values for a Keller-Segel model<br />

and thus quantify differences between non-chemotactic diffusive behavior, growth effects, and<br />

chemotactic behavior. This quantitative modeling work comparing population-level behavior <strong>of</strong><br />

these bacteria allows one to deduce metabolic function parameters in agar, which are not<br />

possible to find experimentally and not incorporated in many previous models. We find that a<br />

significant proportion <strong>of</strong> the E. coli wild-type population appears to be non-chemotactic whereas<br />

the R. sphaeroides wild-type population appears to be primarily chemotactic, something not<br />

explored in other studies. Our parameters also indicate a joint saturation <strong>of</strong> growth and<br />

chemotaxis, which we postulate is a common evolutionary result. These findings provide a<br />

platform from which to explore incorporating cell-level knowledge into macro-scale behavioral<br />

models and the effects <strong>of</strong> heterogeneity <strong>of</strong> populations.<br />

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