Computer-aided resolution of an experimental paradox in bacterial chemotaxis

被引:20
作者
Abouhamad, WN
Bray, D
Schuster, M
Boesch, KC
Silversmith, RE
Bourret, RB [1 ]
机构
[1] Univ N Carolina, Dept Microbiol & Immunol, Chapel Hill, NC 27599 USA
[2] Univ Cambridge, Dept Zool, Cambridge CB2 3EJ, England
关键词
D O I
10.1128/JB.180.15.3757-3764.1998
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
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.
引用
收藏
页码:3757 / 3764
页数:8
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