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Design principles of a bacterial signalling network
Author(s): Kollmann M, Lovdok L, Bartholome K, Timmer J, Sourjik V
Source: NATURE    Volume: 438    Issue: 7067    Pages: 504-507    Published: NOV 24 2005  
Times Cited: 65     References: 30     
Abstract: Cellular biochemical networks have to function in a noisy environment using imperfect components. In particular, networks involved in gene regulation or signal transduction allow only for small output tolerances, and the underlying network structures can be expected to have undergone evolution for inherent robustness against perturbations(1). Here we combine theoretical and experimental analyses to investigate an optimal design for the signalling network of bacterial chemotaxis, one of the most thoroughly studied signalling networks in biology. We experimentally determine the extent of intercellular variations in the expression levels of chemotaxis proteins and use computer simulations to quantify the robustness of several hypothetical chemotaxis pathway topologies to such gene expression noise. We demonstrate that among these topologies the experimentally established chemotaxis network of Escherichia coli has the smallest sufficiently robust network structure, allowing accurate chemotactic response for almost all individuals within a population. Our results suggest that this pathway has evolved to show an optimal chemotactic performance while minimizing the cost of resources associated with high levels of protein expression. Moreover, the underlying topological design principles compensating for intercellular variations seem to be highly conserved among bacterial chemosensory systems(2).
Document Type: Article
Language: English
Reprint Address: Kollmann, M (reprint author), Univ Freiburg, Inst Phys, Hermann Herder Str 3, D-79104 Freiburg, Germany
Addresses:
1. Univ Freiburg, Inst Phys, D-79104 Freiburg, Germany
2. Univ Heidelberg, ZMBH, D-69120 Heidelberg, Germany
3. Univ Freiburg, FDM, D-79104 Freiburg, Germany
Publisher: NATURE PUBLISHING GROUP, MACMILLAN BUILDING, 4 CRINAN ST, LONDON N1 9XW, ENGLAND
Subject Category: Multidisciplinary Sciences
IDS Number: 986NY
ISSN: 0028-0836
DOI: 10.1038/nature04228
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