학술논문

Consistency across multi‐omics layers in a drug‐perturbed gut microbial community.
Document Type
Article
Source
Molecular Systems Biology. 9/12/2023, Vol. 19 Issue 9, p1-17. 17p.
Subject
*MULTIOMICS
*MICROBIAL communities
*NUMBERS of species
*ECOSYSTEM dynamics
*ECOLOGICAL disturbances
*BIOMES
*SYNTHETIC drugs
*ARIPIPRAZOLE
Language
ISSN
1744-4292
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 that the antipsychotic drug chlorpromazine selectively inhibits Bacteroidota representatives in the community, the metatranscriptome and metaproteome suggested that the drug induces stress responses related to protein quality control. Metabolomics revealed a decrease in oligosaccharide uptake, likely caused by Bacteroidota depletion. Our study highlights how multi‐omics datasets can be utilized to reveal complex molecular responses to external perturbations in microbial communities. Synopsis: Multi‐omics analysis allows for an in‐depth view of the molecular dynamics of a microbial ecosystem. The study evaluates if different omics data types show similar results or if each of them provides unique insights into the dynamics of a drug‐perturbed microbial ecosystem. The estimation of relative species abundance is highly consistent between omics methods that allow species resolution.For capturing functional changes, each omics data type shows slightly different results, showing the usefulness of studying a system on different molecular levels.The antipsychotic drug chlorpromazine selectively inhibits Bacteroidota representatives in a synthetic community of 32 gut microbiome species, leading to a decreased oligosaccharide uptake and induction of stress responses related to protein quality control.The synthetic community breaks down the antihelmintic drug niclosamide, likely protecting community members from the drug. [ABSTRACT FROM AUTHOR]