Comprehensive Large-Scale Integrative Analysis of Omics Data To Accelerate Specialized Metabolite Discovery

• Main Authors: Joris J. R. Louwen, Justin J. J. van der Hooft
• Format: Article
• Language: English
• Published: American Society for Microbiology 2021-08-01
• Series: mSystems
• Subjects: computational biology; computational metabolomics; data mining; genomics; integrative omics; mass spectrometry
• Online Access: https://journals.asm.org/doi/10.1128/mSystems.00726-21

ABSTRACT Microbial specialized metabolites are key mediators in host-microbiome interactions. Most of the chemical space produced by the microbiome currently remains unexplored and uncharacterized. This situation calls for new and improved methods to exploit the growing publicly available genomic and metabolomic data sets and connect the outcomes to structural and functional knowledge inferred from transcriptomics and proteomics experiments. Here, we first describe currently available approaches that support the comprehensive mining of metabolomics and genomics data. Next, we provide our vision on how to move forward toward the automated linking of omics data of specialized metabolites to their structures, biosynthesis pathways, producers, and functions.