Deciphering microbial interactions in synthetic human gut microbiome communities.

ABSTRACT: The ecological forces that govern the assembly and stability of the human gut microbiota remain unresolved. We developed a generalizable model-guided framework to predict higher-dimensional consortia from time-resolved measurements of lower-order assemblages. This method was employed to decipher microbial interactions in a diverse human gut microbiome synthetic community. We show that pairwise interactions are major drivers of multi-species community dynamics, as opposed to higher-order interactions. The inferred ecological network exhibits a high proportion of negative and frequent positive interactions. Ecological drivers and responsive recipient species were discovered in the network. Our model demonstrated that a prevalent positive and negative interaction topology enables robust coexi

SUBMITTER: Venturelli OS 

PROVIDER: S-EPMC6011841 | biostudies-literature | 2018 Jun

REPOSITORIES: biostudies-literature