Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/62894
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Type: Journal article
Title: Minimal gene regulatory circuits for a lysis-lysogeny choice in the presence of noise
Author: Avlund, M.
Krishna, S.
Semsey, S.
Dodd, I.
Sneppen, K.
Citation: PLoS One, 2010; 5(12):1-7
Publisher: Public Library of Science
Issue Date: 2010
ISSN: 1932-6203
1932-6203
Statement of
Responsibility: 
Mikkel Avlund, Sandeep Krishna, Szabolcs Semsey, Ian B. Dodd and Kim Sneppen
Abstract: Gene regulatory networks (GRNs) that make reliable decisions should have design features to cope with random fluctuations in the levels or activities of biological molecules. The phage GRN makes a lysis-lysogeny decision informed by the number of phages infecting the cell. To analyse the design of decision making GRNs, we generated random in silico GRNs comprised of two or three transcriptional regulators and selected those able to perform a -like decision in the presence of noise. Various two-protein networks analogous to the CI-Cro GRN worked in noise-less conditions but failed when noise was introduced. Adding a CII-like protein significantly improved robustness to noise. CII relieves the CI-like protein of its ‘decider’ function, allowing CI to be optimized as a decision ‘maintainer’. CII's lysogenic decider function was improved by its instability and rapid removal once the decision was taken, preventing its interference with maintenance. A more reliable decision also resulted from simulated co-transcription of the genes for CII and the Cro-like protein, which correlates fluctuations in these opposing decider functions and makes their ratio less noisy. Thus, the decision network contains design features for reducing and resisting noise.
Keywords: Bacteriophages; Bacteriophage lambda; Transcription Factors; Viral Proteins; Stochastic Processes; Lysogeny; Transcription, Genetic; Gene Expression Regulation, Viral; Algorithms; Gene Regulatory Networks; Promoter Regions, Genetic
Rights: Copyright: 2010 Avlund et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License,which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
RMID: 0020102207
DOI: 10.1371/journal.pone.0015037
Appears in Collections:Molecular and Biomedical Science publications

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