Amplicon-based prediction of secondary metabolic potential of microbiomes facilitates natural product discovery.

ABSTRACT: The rapid exploration of natural products not only expands chemical diversity but also plays a vital role in drug discovery by identifying bioactive agents (e.g., antibiotics), revealing novel biological mechanisms, and providing new therapeutic opportunities. However, traditional techniques require extensive resources to screen and prioritize bacteria capable of producing valuable compounds from complex environmental samples. Here, we introduce the PSMPA (Predicting the Secondary Metabolism Potential using Amplicons) pipeline, designed to assess the secondary metabolic potential of microbiomes by estimating the abundance of biosynthetic gene cluster (BGC) classes based on 16S rRNA gene amplicons. This approach facilitates early-stage selection of samples

SUBMITTER: Zhou ZY 

PROVIDER: S-EPMC12637254 | biostudies-literature | 2026 Mar

REPOSITORIES: biostudies-literature