A multi-omics reciprocal analysis for characterization of bacterial metabolism.

ABSTRACT:

Introduction

Exploiting microbial natural products is a key pursuit of the bioactive compound discovery field. Recent advances in modern analytical techniques have increased the volume of microbial genomes and their encoded biosynthetic products measured by mass spectrometry-based metabolomics. However, connecting multi-omics data to uncover metabolic processes of interest is still challenging. This results in a large portion of genes and metabolites remaining unannotated. Further exacerbating the annotation challenge, databases and tools for annotation and omics integration are scattered, requiring complex computations to annotate and integrate omics datasets.

Methods

Here we performed a two-way integrative analysis combining genomics and metabolomics data to describe a new

SUBMITTER: Arini GS 

PROVIDER: S-EPMC11965639 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature