Title: "Predicting and Modeling Microbial Phenotypes to Advance Microbiome Ecology"
Summary: Microbiomes are among the most complex systems to experimentally probe, mechanistically model, and ultimately predict or design. Understanding these systems requires detailed knowledge of individual microbial phenotypes and their interactions. To illustrate this principle, we examine three distinct systems: (1) anaerobic methane oxidation; (2) methane production in hypersaline salterns; and (3) the human gut microbiome. In each case, we integrate multi-omics data with mechanistic modeling to uncover the phenotypic interactions that shape system function, stability, and evolution
