Consistency across multi-omics layers in a drug-perturbed gut microbial community.

ABSTRACT: Multi-omics analyses are used in microbiome studies to understand molecular changes in microbial communities exposed to different conditions. However, it is not always clear how much each omics data type contributes to our understanding and whether they are concordant with each other. Here, we map the molecular response of a synthetic community of 32 human gut bacteria to three non-antibiotic drugs by using five omics layers (16S rRNA gene profiling, metagenomics, metatranscriptomics, metaproteomics and metabolomics). We find that all the omics methods with species resolution are highly consistent in estimating relative species abundances. Furthermore, different omics methods complement each other for capturing functional changes. For example, while nearly all the omics data types captured

SUBMITTER: Wuyts S 

PROVIDER: S-EPMC10495815 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature