Effect of receptor clustering on chemotactic performance of Escherichia coli: sensing versus adaptation

TL;DR

This paper investigates how receptor clustering in E. coli affects chemotactic performance, revealing a trade-off between signal amplification and activity fluctuations that influences sensing and adaptation balance.

Contribution

It introduces a detailed theoretical model and extensive simulations to analyze the impact of receptor clustering on chemotaxis, highlighting the competition between sensing and adaptation mechanisms.

Findings

Receptor clustering amplifies ligand signals, improving chemotactic efficiency.

Large clusters cause activity fluctuations, reducing performance.

Optimal clustering balances sensing and adaptation for best chemotaxis.

Abstract

We show how the competition between sensing and adaptation can result in a performance peak in E.coli chemotaxis using extensive numerical simulations in a detailed theoretical model. Receptor clustering amplifies the input signal coming from ligand binding which enhances chemotactic efficiency. But large clusters also induce large fluctuations in total activity since the number of clusters go down. The activity and hence the run-tumble motility now gets controlled by methylation levels which are part of adaptation module, rather than ligand binding. This reduces chemotactic efficiency.