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Subpopulations of sensorless bacteria drive fitness in fluctuating environments

Julou, Thomas and Zweifel, Ludovit and Blank, Diana and Fiori, Athos and van Nimwegen, Erik. (2020) Subpopulations of sensorless bacteria drive fitness in fluctuating environments. PLoS biology, 18 (12). e3000952.

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Official URL: https://edoc.unibas.ch/79966/

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Abstract

Populations of bacteria often undergo a lag in growth when switching conditions. Because growth lags can be large compared to typical doubling times, variations in growth lag are an important but often overlooked component of bacterial fitness in fluctuating environments. We here explore how growth lag variation is determined for the archetypical switch from glucose to lactose as a carbon source in Escherichia coli. First, we show that single-cell lags are bimodally distributed and controlled by a single-molecule trigger. That is, gene expression noise causes the population before the switch to divide into subpopulations with zero and nonzero lac operon expression. While "sensorless" cells with zero preexisting lac expression at the switch have long lags because they are unable to sense the lactose signal, any nonzero lac operon expression suffices to ensure a short lag. Second, we show that the growth lag at the population level depends crucially on the fraction of sensorless cells and that this fraction in turn depends sensitively on the growth condition before the switch. Consequently, even small changes in basal expression can significantly affect the fraction of sensorless cells, thereby population lags and fitness under switching conditions, and may thus be subject to significant natural selection. Indeed, we show that condition-dependent population lags vary across wild E. coli isolates. Since many sensory genes are naturally low expressed in conditions where their inducer is not present, bimodal responses due to subpopulations of sensorless cells may be a general mechanism inducing phenotypic heterogeneity and controlling population lags in switching environments. This mechanism also illustrates how gene expression noise can turn even a simple sensory gene circuit into a bet hedging module and underlines the profound role of gene expression noise in regulatory responses.
Faculties and Departments:05 Faculty of Science > Departement Biozentrum > Computational & Systems Biology > Bioinformatics (van Nimwegen)
05 Faculty of Science > Departement Biozentrum > Services Biozentrum > Biophysics Facility (Sharpe)
UniBasel Contributors:van Nimwegen, Erik and Julou, Thomas and Zweifel, Ludovit and Blank, Diana and Fiori, Athos
Item Type:Article, refereed
Article Subtype:Research Article
ISSN:1545-7885
Note:Publication type according to Uni Basel Research Database: Journal article
Language:English
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Last Modified:31 Jan 2022 12:09
Deposited On:31 Jan 2022 12:09

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