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PMID: 18225942 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S.

A quantitative study of the division cycle of Caulobacter crescentus stalked cells.

PLoS computational biology ·Vol. 4 ·No. 1 ·2008-01-00 ·Pages e9

Li S, Brazhnik P, Sobral B, Tyson JJ

Abstract

Progression of a cell through the division cycle is tightly controlled at different steps to ensure the integrity of genome replication and partitioning to daughter cells. From published experimental evidence, we propose a molecular mechanism for control of the cell division cycle in Caulobacter crescentus. The mechanism, which is based on the synthesis and degradation of three "master regulator" proteins (CtrA, GcrA, and DnaA), is converted into a quantitative model, in order to study the temporal dynamics of these and other cell cycle proteins. The model accounts for important details of the physiology, biochemistry, and genetics of cell cycle control in stalked C. crescentus cell. It reproduces protein time courses in wild-type cells, mimics correctly the phenotypes of many mutant strains, and predicts the phenotypes of currently uncharacterized mutants. Since many of the proteins involved in regulating the cell cycle of C. crescentus are conserved among many genera of alpha-proteobacteria, the proposed mechanism may be applicable to other species of importance in agriculture and medicine.

MeSH Terms
Caulobacter crescentus/cytology,physiology Cell Cycle/physiology Cell Cycle Proteins/metabolism Computer Simulation Models, Biological Signal Transduction/physiology
Chemicals
Cell Cycle Proteins
Authors & Affiliations
4 authors, click to expand affiliations / ORCID
Li Shenghua
Department of Biological Sciences, Virginia Polytechnic Institute and State University, Blacksburg, Virginia, United States of America.
Brazhnik Paul
Sobral Bruno
Tyson John J
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Article Info
Journal
PLoS computational biology
Abbr.
PLoS Comput Biol
ISSN
1553-7358
Published
2008-01-00
Epub
2007-00-05
Pages
e9
Language
English
Region
United States
NLM ID
101238922
PMCID
PMC2217572
Subset
IM
Analysis Services
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