Unknown

Dataset Information

0

Escherichia coli can survive stress by noisy growth modulation.


ABSTRACT: Gene expression can be noisy, as can the growth of single cells. Such cell-to-cell variation has been implicated in survival strategies for bacterial populations. However, it remains unclear how single cells couple gene expression with growth to implement these strategies. Here, we show how noisy expression of a key stress-response regulator, RpoS, allows E. coli to modulate its growth dynamics to survive future adverse environments. We reveal a dynamic positive feedback loop between RpoS and growth rate that produces multi-generation RpoS pulses. We do so experimentally using single-cell, time-lapse microscopy and microfluidics and theoretically with a stochastic model. Next, we demonstrate that E. coli prepares for sudden stress by entering prolonged periods of slow growth mediated by RpoS. This dynamic phenotype is captured by the RpoS-growth feedback model. Our synthesis of noisy gene expression, growth, and survival paves the way for further exploration of functional phenotypic variability.

SUBMITTER: Patange O 

PROVIDER: S-EPMC6297224 | biostudies-literature | 2018 Dec

REPOSITORIES: biostudies-literature

altmetric image

Publications

Escherichia coli can survive stress by noisy growth modulation.

Patange Om O   Schwall Christian C   Jones Matt M   Villava Casandra C   Griffith Douglas A DA   Phillips Andrew A   Locke James C W JCW  

Nature communications 20181217 1


Gene expression can be noisy, as can the growth of single cells. Such cell-to-cell variation has been implicated in survival strategies for bacterial populations. However, it remains unclear how single cells couple gene expression with growth to implement these strategies. Here, we show how noisy expression of a key stress-response regulator, RpoS, allows E. coli to modulate its growth dynamics to survive future adverse environments. We reveal a dynamic positive feedback loop between RpoS and gr  ...[more]

Similar Datasets

| S-EPMC6428754 | biostudies-literature
| S-EPMC8370336 | biostudies-literature
| S-EPMC2902570 | biostudies-literature
| S-EPMC4075040 | biostudies-literature
| S-EPMC3479029 | biostudies-literature
| S-EPMC5904121 | biostudies-literature
| S-EPMC1636219 | biostudies-literature
| S-EPMC7822485 | biostudies-literature
2015-06-15 | GSE69830 | GEO
2009-03-21 | GSE15319 | GEO