Literature DB >> 25564865

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

Javier Garcia-Bernardo1, Mary J Dunlop2.   

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.
Copyright © 2015 Biophysical Society. Published by Elsevier Inc. All rights reserved.

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Year:  2015        PMID: 25564865      PMCID: PMC4286610          DOI: 10.1016/j.bpj.2014.11.048

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


  52 in total

1.  Bacterial persistence as a phenotypic switch.

Authors:  Nathalie Q Balaban; Jack Merrin; Remy Chait; Lukasz Kowalik; Stanislas Leibler
Journal:  Science       Date:  2004-08-12       Impact factor: 47.728

2.  Fast, accurate algorithm for numerical simulation of exponentially correlated colored noise.

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Journal:  Phys Rev A Gen Phys       Date:  1988-12-01

3.  Cellular noise regulons underlie fluctuations in Saccharomyces cerevisiae.

Authors:  Jacob Stewart-Ornstein; Jonathan S Weissman; Hana El-Samad
Journal:  Mol Cell       Date:  2012-02-24       Impact factor: 17.970

4.  Bacterial persistence: a model of survival in changing environments.

Authors:  Edo Kussell; Roy Kishony; Nathalie Q Balaban; Stanislas Leibler
Journal:  Genetics       Date:  2005-01-31       Impact factor: 4.562

5.  Coherent feedforward transcriptional regulatory motifs enhance drug resistance.

Authors:  Daniel A Charlebois; Gábor Balázsi; Mads Kærn
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2014-05-14

Review 6.  Nature, nurture, or chance: stochastic gene expression and its consequences.

Authors:  Arjun Raj; Alexander van Oudenaarden
Journal:  Cell       Date:  2008-10-17       Impact factor: 41.582

7.  Persister cells and tolerance to antimicrobials.

Authors:  Iris Keren; Niilo Kaldalu; Amy Spoering; Yipeng Wang; Kim Lewis
Journal:  FEMS Microbiol Lett       Date:  2004-01-15       Impact factor: 2.742

8.  Two DNA-encoded strategies for increasing expression with opposing effects on promoter dynamics and transcriptional noise.

Authors:  Maya Dadiani; David van Dijk; Barak Segal; Yair Field; Gil Ben-Artzi; Tali Raveh-Sadka; Michal Levo; Irene Kaplow; Adina Weinberger; Eran Segal
Journal:  Genome Res       Date:  2013-02-12       Impact factor: 9.043

9.  Model of transcriptional activation by MarA in Escherichia coli.

Authors:  Michael E Wall; David A Markowitz; Judah L Rosner; Robert G Martin
Journal:  PLoS Comput Biol       Date:  2009-12-18       Impact factor: 4.475

10.  Frequency-modulated nuclear localization bursts coordinate gene regulation.

Authors:  Long Cai; Chiraj K Dalal; Michael B Elowitz
Journal:  Nature       Date:  2008-09-25       Impact factor: 49.962

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  7 in total

1.  Phenotypic Diversity Using Bimodal and Unimodal Expression of Stress Response Proteins.

Authors:  Javier Garcia-Bernardo; Mary J Dunlop
Journal:  Biophys J       Date:  2016-05-24       Impact factor: 4.033

2.  Single-Cell Analysis of Mycobacteria Using Microfluidics and Time-Lapse Microscopy.

Authors:  Giulia Manina; Neeraj Dhar
Journal:  Methods Mol Biol       Date:  2021

Review 3.  Determining the Limitations and Benefits of Noise in Gene Regulation and Signal Transduction through Single Cell, Microscopy-Based Analysis.

Authors:  Marie D Harton; Eric Batchelor
Journal:  J Mol Biol       Date:  2017-03-11       Impact factor: 5.469

4.  Persistence as an Optimal Hedging Strategy.

Authors:  Alexander P Browning; Jesse A Sharp; Tarunendu Mapder; Christopher M Baker; Kevin Burrage; Matthew J Simpson
Journal:  Biophys J       Date:  2020-11-28       Impact factor: 4.033

5.  Stochastic expression of a multiple antibiotic resistance activator confers transient resistance in single cells.

Authors:  Imane El Meouche; Yik Siu; Mary J Dunlop
Journal:  Sci Rep       Date:  2016-01-13       Impact factor: 4.379

6.  Customized Regulation of Diverse Stress Response Genes by the Multiple Antibiotic Resistance Activator MarA.

Authors:  Nicholas A Rossi; Mary J Dunlop
Journal:  PLoS Comput Biol       Date:  2017-01-06       Impact factor: 4.475

7.  Epigenetic switching as a strategy for quick adaptation while attenuating biochemical noise.

Authors:  Mariana Gómez-Schiavon; Nicolas E Buchler
Journal:  PLoS Comput Biol       Date:  2019-10-28       Impact factor: 4.475

  7 in total

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