Phenotypic diversity and temporal variability in a bacterial signaling network revealed by single-cell FRET.

Abstract:

:We present in vivo single-cell FRET measurements in the Escherichia coli chemotaxis system that reveal pervasive signaling variability, both across cells in isogenic populations and within individual cells over time. We quantify cell-to-cell variability of adaptation, ligand response, as well as steady-state output level, and analyze the role of network design in shaping this diversity from gene expression noise. In the absence of changes in gene expression, we find that single cells demonstrate strong temporal fluctuations. We provide evidence that such signaling noise can arise from at least two sources: (i) stochastic activities of adaptation enzymes, and (ii) receptor-kinase dynamics in the absence of adaptation. We demonstrate that under certain conditions, (ii) can generate giant fluctuations that drive signaling activity of the entire cell into a stochastic two-state switching regime. Our findings underscore the importance of molecular noise, arising not only in gene expression but also in protein networks.

journal_name

Elife

journal_title

eLife

authors

Keegstra JM,Kamino K,Anquez F,Lazova MD,Emonet T,Shimizu TS

doi

10.7554/eLife.27455

subject

Has Abstract

pub_date

2017-12-12 00:00:00

issn

2050-084X

pii

27455

journal_volume

6

pub_type

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