Noise and low-level dynamics can coordinate multicomponent bet hedging mechanisms

Javier Garcia-Bernardo, Mary J. Dunlop*

*Corresponding author for this work

    Research output: Contribution to journalArticleAcademicpeer-review

    Abstract

    To counter future uncertainty, cells can stochastically express stress response mechanisms to diversify their population and hedge against stress. This approach allows a small subset of the population to survive without the prohibitive cost of constantly expressing resistance machinery at the population level. However, expression of multiple genes in concert is often needed to ensure survival, requiring coordination of infrequent events across many downstream targets. This raises the question of how cells orchestrate the timing of multiple rare events without adding cost. To investigate this, we used a stochastic model to study regulation of downstream target genes by a transcription factor. We compared several upstream regulator profiles, including constant expression, pulsatile dynamics, and noisy expression. We found that pulsatile dynamics and noise are sufficient to coordinate expression of multiple downstream genes. Notably, this is true even when fluctuations in the upstream regulator are far below the dissociation constants of the regulated genes, as with infrequently activated genes. As an example, we simulated the dynamics of the multiple antibiotic resistance activator (MarA) and 40 diverse downstream genes it regulates, determining that low-level dynamics in MarA are sufficient to coordinate expression of resistance mechanisms. We also demonstrated that noise can play a similar coordinating role. Importantly, we found that these benefits are present without a corresponding increase in the population-level cost. Therefore, our model suggests that low-level dynamics or noise in a transcription factor can coordinate expression of multiple stress response mechanisms by engaging them simultaneously without adding to the overall cost.

    Original languageEnglish
    Pages (from-to)184-193
    Number of pages10
    JournalBiophysical Journal
    Volume108
    Issue number1
    DOIs
    Publication statusPublished - 6 Jan 2015

    Bibliographical note

    Funding Information:
    We thank N. Rossi and T. Tomko for their critical reading of the manuscript. This research was supported by the National Institutes of Health (1R01AI102922) and by start-up funding from the University of Vermont.

    Publisher Copyright:
    © 2015 Biophysical Society.

    Funding

    We thank N. Rossi and T. Tomko for their critical reading of the manuscript. This research was supported by the National Institutes of Health (1R01AI102922) and by start-up funding from the University of Vermont.

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