Dividing active and passive particles in nonuniform nutrient environments

TL;DR

This study models microorganism populations in nonuniform nutrients, revealing how activity levels influence clustering, transient dynamics, and population overshoot, with implications for understanding microbial behavior in heterogeneous environments.

Contribution

It introduces a minimalistic particle-based model coupling bacterial growth with nonuniform nutrient diffusion, highlighting activity-dependent clustering and transient population behaviors.

Findings

Passive particles form clusters in localized nutrients.

Highly active particles disperse and do not cluster.

Transient dynamics depend on nutrient distribution and activity.

Abstract

To explore the coupling between a growing population of microorganisms such as E. coli and a nonuniform nutrient distribution, we formulate a minimalistic model. It consists of active Brownian particles that divide and grow at a nutrient-dependent rate following the Monod equation. The nutrient concentration obeys a diffusion equation with a consumption term and a point source. In this setting the heterogeneity in the nutrient distribution can be tuned by the diffusion coefficient. In particle-based simulations, we demonstrate that passive and weakly active particles form proliferation-induced clusters when the nutrient is localized, without relying on further mechanisms such as chemotaxis or adhesion. In contrast, strongly active particles disperse in the whole system during their lifetime and no clustering is present. The steady population is unaffected by activity or nonuniform nutrient distribution and only determined by the ratio of nutrient influx and bacterial death. However, the transient dynamics strongly depends on the nutrient distribution and activity. Passive particles in almost uniform nutrient profiles display a strong population overshoot, with clusters forming all over the system. In contrast, when slowly diffusing nutrients remain centred around the source, the bacterial population quickly approaches the steady state due to its strong coupling to the nutrient. Conversely, the population overshoot of highly active particles becomes stronger when the nutrient localisation increases. We successfully map the transient population dynamics onto a uniform model where the effect of the nonuniform nutrient and bacterial distributions are rationalized by two effective areas.