Literature DB >> 14695251

Why the lysogenic state of phage lambda is so stable: a mathematical modeling approach.

Moisés Santillán1, Michael C Mackey.   

Abstract

We develop a mathematical model of the phage lambda lysis/lysogeny switch, taking into account recent experimental evidence demonstrating enhanced cooperativity between the left and right operator regions. Model parameters are estimated from available experimental data. The model is shown to have a single stable steady state for these estimated parameter values, and this steady state corresponds to the lysogenic state. When the CI degradation rate (gammacI) is slightly increased from its normal value (gammacI approximately 0.0 min(-1)), two additional steady states appear (through a saddle-node bifurcation) in addition to the lysogenic state. One of these new steady states is stable and corresponds to the lytic state. The other steady state is an (unstable) saddle node. The coexistence these two globally stable steady states (the lytic and lysogenic states) is maintained with further increases of gammacI until gammacI approximately 0.35 min(-1), when the lysogenic steady state and the saddle node collide and vanish (through a reverse saddle node bifurcation) leaving only the lytic state surviving. These results allow us to understand the high degree of stability of the lysogenic state because, normally, it is the only steady state. Further implications of these results for the stability of the phage lambda switch are discussed, as well as possible experimental tests of the model.

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Year:  2004        PMID: 14695251      PMCID: PMC1303838          DOI: 10.1016/S0006-3495(04)74085-0

Source DB:  PubMed          Journal:  Biophys J        ISSN: 0006-3495            Impact factor:   4.033


  24 in total

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  27 in total

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Journal:  Proc Natl Acad Sci U S A       Date:  2010-10-11       Impact factor: 11.205

6.  Mathematical description of gene regulatory units.

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9.  Binding cooperativity in phage lambda is not sufficient to produce an effective switch.

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Journal:  Biophys J       Date:  2008-05-01       Impact factor: 4.033

10.  Signatures of combinatorial regulation in intrinsic biological noise.

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