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Constrained proteome allocation affects coexistence in models of competitive microbial communities
Authors:Leonardo Pacciani-Mori  Samir Suweis  Amos Maritan  Andrea Giometto
Institution:1.Dipartimento di Fisica e Astronomia “Galileo Galilei”, Università degli Studi di Padova, Via Francesco Marzolo 8, 35131 Padova, Italy ;2.Department of Physics, Harvard University, 17 Oxford St, Cambridge, MA 02138 USA ;3.School of Civil and Environmental Engineering, Cornell University, 220 Hollister Dr, Ithaca, NY 14853 USA
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 structure and composition of microbial communities are intertwined with the metabolism of the species that inhabit them, 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 with a simple experiment 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. Then, we study our consumer-proteome-resource model analytically and numerically to determine the conditions that allow multiple species to coexist in systems with arbitrary numbers of species and resources.Subject terms: Biodiversity, Microbial ecology, Microbial ecology, Bacterial physiology
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