Resource competition predicts assembly of gut bacterial communities in vitro. null

Microbial community dynamics arise through interspecies interactions, including resource competition, cross-feeding and pH modulation. The individual contributions of these mechanisms to community structure are challenging to untangle. Here, we develop a framework to estimate multi-species niche overlaps by combining metabolomics data of individual species, growth measurements in spent media, and mathematical models. We applied our framework to an in vitro model system comprising 15 human gut commensals in complex media, and showed that a simple model of resource competition accounted for most pairwise interactions. Next, we built a coarse-grained consumer-resource model, by grouping metabolomic features depleted by the same set of species, and showed that this model predicted the composition of 2- to 15-member communities with reasonable accuracy. Furthermore, we found that incorporation of cross-feeding and pH-mediated interactions improved model predictions of species coexistence. Our theoretical model and experimental framework can be applied to characterize interspecies interactions in bacterial communities in vitro.