Constrained proteome allocation affects coexistence in models of competitive microbial communities

Leonardo Pacciani-Mori, Samir Suweis, Amos Maritan, Andrea Giometto

Published in bioRxiv, 2020

Recommended citation: Pacciani-Mori L., Suweis S., Maritan A. and Giometto A. (2020). "Constrained proteome allocation affects coexistence in models of competitive microbial communities", bioRxiv. DOI: 10.1101/2020.01.27.921478

Preprint

This manuscript is currently under peer review.

Abstract

Microbial communities are ubiquitous and play crucial roles in many natural processes. Despite their importance for the environment, industry and human health, there are still many aspects of microbial community dynamics that we do not understand quantitatively. Recent experiments have shown that the metabolism of species in a community is intertwined with its composition, suggesting that properties at the intracellular level such as the allocation of cellular proteomic resources must be taken into account when describing microbial communities with a population dynamics approach. In this work we reconsider one of the theoretical frameworks most commonly used to model population dynamics in competitive ecosystems, MacArthur’s consumer-resource model, in light of experimental evidence showing how proteome allocation affects microbial growth. This new framework allows us to describe community dynamics at an intermediate level of complexity between classical consumer-resource models and biochemical models of microbial metabolism, accounting for temporally-varying proteome allocation subject to constraints on growth and protein synthesis in the presence of multiple resources, while preserving analytical insight into the dynamics of the system. We first show experimentally that proteome allocation needs to be accounted for to properly understand the dynamics of even the simplest microbial community, i.e. two bacterial strains competing for one common resource. We then study the model analytically and numerically to determine the conditions that allow multiple species to coexist in systems with arbitrary numbers of species and resources.