Design of synthetic human gut microbiome assembly and function

Abstract

The assembly of microbial communities and functions emerge from a complex and dynamic web of interactions. A major challenge in microbiome engineering is identifying organism configurations with community-level behaviors that achieve a desired function. The number of possible subcommunities scales exponentially with the number of species in a system, creating a vast experimental design space that is challenging to even sparsely traverse. We develop a model-guided experimental design framework for microbial communities and apply this method to explore the functional landscape of the health-relevant metabolite butyrate using a 25-member synthetic human gut microbiome community. Based on limited experimental measurements, our model accurately forecasts community assembly and butyrate production at every possible level of complexity. Our results elucidate key ecological and molecular mechanisms driving butyrate production including inter-species interactions, pH and hydrogen sulfide. Our model-guided iterative approach provides a flexible framework for understanding and predicting community functions for a broad range of applications.