Regulation by cyclic-di-GMP attenuates dynamics and enhances robustness of bimodal curli gene activation in Escherichia coli

Autor: Olga Lamprecht, Maryia Ratnikava, Paulina Jacek, Eugen Kaganovitch, Nina Buettner, Kirstin Fritz, Ina Biazruchka, Robin Köhler, Julian Pietsch, Victor Sourjik
Rok vydání: 2022
DOI: 10.1101/2022.05.23.493020
Popis: Curli amyloid fibers are a major constituent of the extracellular biofilm matrix formed by bacteria of the Enterobacteriaceae family. Within Escherichia coli biofilms, curli gene expression is limited to a subpopulation of bacteria, leading to heterogeneity of extracellular matrix synthesis. Here we show that bimodal activation of curli expression occurs not only in submerged and macrocolony biofilms, but also in well-mixed planktonic cultures of E. coli, resulting in all-or-none stochastic differentiation into distinct subpopulations of curli-positive and curli-negative cells at the entry into the stationary phase of growth. Stochastic curli activation in individual E. coli cells could further be observed during continuous growth in a conditioned medium in a microfluidic device, which further revealed that the curli-positive state is only metastable. In agreement with previous reports, regulation of curli gene expression by c-di-GMP via two pairs of diguanylate cyclase and phosphodiesterase enzymes, DgcE/PdeH and DgcM/PdeR, modulates the fraction of curli-positive cells under all tested growth conditions. Unexpectedly, removal of this regulatory network does not abolish the bimodality of curli gene expression, although it affects dynamics of activation and increases heterogeneity of expression levels among individual cells. Moreover, the fraction of curli-positive cells within an E. coli population shows stronger dependence on growth conditions in the absence of c-di-GMP regulation. We thus conclude that, while not required for the emergence of bimodal curli gene expression in E. coli, this c-di-GMP regulatory network attenuates the frequency and dynamics of gene activation and increases its robustness to cellular heterogeneity and environmental variation.
Databáze: OpenAIRE