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Minimal Gene Regulatory Circuits for a Lysis-Lysogeny Choice in the Presence of Noise

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 [Image: see text] GRN makes a lysis-lysogeny decision informed by the number of phages infecting the cell. To analy...

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Detalles Bibliográficos
Autores principales: Avlund, Mikkel, Krishna, Sandeep, Semsey, Szabolcs, Dodd, Ian B., Sneppen, Kim
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3004801/
https://www.ncbi.nlm.nih.gov/pubmed/21188148
http://dx.doi.org/10.1371/journal.pone.0015037
Descripción
Sumario: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 [Image: see text] 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 [Image: see text]-like decision in the presence of noise. Various two-protein networks analogous to the [Image: see text] CI-Cro GRN worked in noise-less conditions but failed when noise was introduced. Adding a [Image: see text] 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 [Image: see text] decision network contains design features for reducing and resisting noise.