Abstract

The metabolic capabilities of the species and the local environment shape the microbial interactions in a community either through the exchange of metabolic products or the competition for the resources. Cells are often arranged in close proximity to each other, creating a crowded environment that unevenly reduce the diffusion of nutrients. Herein, we investigated how the crowding conditions and metabolic variability among cells shape the dynamics of microbial communities. For this, we developed CROMICS, a spatio-temporal framework that combines techniques such as individual-based modeling, scaled particle theory, and thermodynamic flux analysis to explicitly incorporate the cell metabolism and the impact of the presence of macromolecular components on the nutrients diffusion. This framework was used to study two archetypical microbial communities (i) Escherichia coli and Salmonella enterica that cooperate with each other by exchanging metabolites, and (ii) two E. coli with different production level of extracellular polymeric substances (EPS) that compete for the same nutrients. In the mutualistic community, our results demonstrate that crowding enhanced the fitness of cooperative mutants by reducing the leakage of metabolites from the region where they are produced, avoiding the resource competition with non-cooperative cells. Moreover, we also show that E. coli EPS-secreting mutants won the competition against the non-secreting cells by creating less dense structures (i.e. increasing the spacing among the cells) that allow mutants to expand and reach regions closer to the nutrient supply point. A modest enhancement of the relative fitness of EPS-secreting cells over the non-secreting ones were found when the crowding effect was taken into account in the simulations. The emergence of cell-cell interactions and the intracellular conflicts arising from the trade-off between growth and the secretion of metabolites or EPS could provide a local competitive advantage to one species, either by supplying more cross-feeding metabolites or by creating a less dense neighborhood.

Highlights

  • Microbial communities, such as biofilms, are involved in several processes ranging from beneficial bioremediation to the harmful fouling of industrial equipment, food contamination, and human chronic infections [1]

  • To provide a more realistic representation of the heterogeneous nature of microbial systems and study how the spatio–temporal-dependent crowding conditions affect the dynamic cooperation/competition among the individual cells, we developed a mechanistic framework for the CROwding-Modeling of In-silico Community Systems (CROMICS)

  • Modifications to local environments that occur by the secretion of shared resources can provide a competitive advantage to certain species, though this imposes resource allocation conflicts at the cellular level that could lead to a reduction of the growth rate

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Summary

Introduction

Microbial communities, such as biofilms, are involved in several processes ranging from beneficial bioremediation to the harmful fouling of industrial equipment, food contamination, and human chronic infections [1]. The proximity of individuals facilitates the exchange of metabolic products and cell signaling [2], promoting the emergence of cooperative interactions inside the community, and promoting the competition for space and resources [3,4,5]. The presence of cells and other extracellular polymeric substances (EPS) in the biofilm matrix (i.e. macromolecules, DNA, polysaccharides, etc.) add another dimension of complexity to the system by creating a crowded environment, where the nutrient diffusion is unevenly reduced [6,7,8,9,10,11]. We investigate the influence of the crowding and environmental conditions as well as the metabolic variability of the species on the dynamics and interactions within microbial communities

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