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Journal of Bacteriology, August 1998, p. 3757-3764, Vol. 180, No. 15
0021-9193/98/$04.00+0
Copyright © 1998, American Society for Microbiology. All rights reserved.

Computer-Aided Resolution of an Experimental Paradox in Bacterial Chemotaxis

Walid N. Abouhamad,1,dagger Dennis Bray,2 Martin Schuster,1 Kristin C. Boesch,1 Ruth E. Silversmith,1 and Robert B. Bourret1,*

Department of Microbiology & Immunology, University of North Carolina, Chapel Hill, North Carolina 27599-7290,1 and Department of Zoology, University of Cambridge, Cambridge CB2 3EJ, United Kingdom2

Received 19 March 1998/Accepted 22 May 1998

Escherichia coli responds to its environment by means of a network of intracellular reactions which process signals from membrane-bound receptors and relay them to the flagellar motors. Although characterization of the reactions in the chemotaxis signaling pathway is sufficiently complete to construct computer simulations that predict the phenotypes of mutant strains with a high degree of accuracy, two previous experimental investigations of the activity remaining upon genetic deletion of multiple signaling components yielded several contradictory results (M. P. Conley, A. J. Wolfe, D. F. Blair, and H. C. Berg, J. Bacteriol. 171:5190-5193, 1989; J. D. Liu and J. S. Parkinson, Proc. Natl. Acad. Sci. USA 86:8703-8707, 1989). For example, "building up" the pathway by adding back CheA and CheY to a gutted strain lacking chemotaxis genes resulted in counterclockwise flagellar rotation whereas "breaking down" the pathway by deleting chemotaxis genes except cheA and cheY resulted in alternating episodes of clockwise and counterclockwise flagellar rotation. Our computer simulation predicts that trace amounts of CheZ expressed in the gutted strain could account for this difference. We tested this explanation experimentally by constructing a mutant containing a new deletion of the che genes that cannot express CheZ and verified that the behavior of strains built up from the new deletion does in fact conform to both the phenotypes observed for breakdown strains and computer-generated predictions. Our findings consolidate the present view of the chemotaxis signaling pathway and highlight the utility of molecularly based computer models in the analysis of complex biochemical networks.


* Corresponding author. Mailing address: Department of Microbiology & Immunology, University of North Carolina, Chapel Hill, NC 27599-7290. Phone: (919) 966-2679. Fax: (919) 962-8103. E-mail: bourret{at}med.unc.edu.

dagger Present address: Laboratory of Pharmacology & Chemistry, National Institute of Environmental Health Sciences, Research Triangle Park, NC 27709.


Journal of Bacteriology, August 1998, p. 3757-3764, Vol. 180, No. 15
0021-9193/98/$04.00+0
Copyright © 1998, American Society for Microbiology. All rights reserved.



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