Literature DB >> 24718449

Stochastic holin expression can account for lysis time variation in the bacteriophage λ.

Abhyudai Singh1, John J Dennehy.   

Abstract

The inherent stochastic nature of biochemical processes can drive differences in gene expression between otherwise identical cells. While cell-to-cell variability in gene expression has received much attention, randomness in timing of events has been less studied. We investigate event timing at the single-cell level in a simple system, the lytic pathway of the bacterial virus phage λ. In individual cells, lysis occurs on average at 65 min, with an s.d. of 3.5 min. Interestingly, mutations in the lysis protein, holin, alter both the lysis time (LT) mean and variance. In our analysis, LT is formulated as the first-passage time (FPT) for cellular holin levels to cross a critical threshold. Exact analytical formulae for the FPT moments are derived for stochastic gene expression models. These formulae reveal how holin transcription and translation efficiencies independently modulate the LT mean and variation. Analytical expressions for the LT moments are used to evaluate previously published single-cell LT data for λ phages with mutations in the holin sequence or its promoter. Our results show that stochastic holin expression is sufficient to account for the intercellular LT differences in both wild-type phages, and phage variants where holin transcription and the threshold for lysis have been experimentally altered. Finally, our analysis reveals regulatory motifs that enhance the robustness of lysis timing to cellular noise.

Entities:  

Keywords:  feed-forward circuit; first-passage time; host lysis; lambda phage; stochastic gene expression; stochastic promoter switching

Mesh:

Substances:

Year:  2014        PMID: 24718449      PMCID: PMC4006253          DOI: 10.1098/rsif.2014.0140

Source DB:  PubMed          Journal:  J R Soc Interface        ISSN: 1742-5662            Impact factor:   4.118


  67 in total

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Review 7.  Infection by bacteriophage lambda: an evolving paradigm for cellular individuality.

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8.  An Optimal Lysis Time Maximizes Bacteriophage Fitness in Quasi-Continuous Culture.

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9.  Genetically Determined Variation in Lysis Time Variance in the Bacteriophage φX174.

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10.  A mechanistic stochastic framework for regulating bacterial cell division.

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