Differential network analysis of oral microbiome metatranscriptomes identifies community scale metabolic restructuring in dental caries.

ABSTRACT: Dental caries is a microbial disease and the most common chronic health condition, affecting nearly 3.5 billion people worldwide. In this study, we used a multiomics approach to characterize the supragingival plaque microbiome of 91 Australian children, generating 658 bacterial and 189 viral metagenome-assembled genomes with transcriptional profiling and gene-expression network analysis. We developed a reproducible pipeline for clustering sample-specific genomes to integrate metagenomics and metatranscriptomics analyses regardless of biosample overlap. We introduce novel feature engineering and compositionally-aware ensemble network frameworks while demonstrating their utility for investigating regime shifts associated with caries dysbiosis. These methods can be applied when differential a

SUBMITTER: Espinoza JL 

PROVIDER: S-EPMC9802336 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature