A guide to genome mining and genetic manipulation of biosynthetic gene clusters in Streptomyces
Year: 2025
Type: article
Abstract: Streptomyces are a crucial source of bioactive secondary metabolites with significant clinical applications. Recent studies of bacterial and metagenome-assembled genomes have revealed that Streptomyces harbors a substantial number of uncharacterized silent secondary metabolite biosynthetic gene clusters (BGCs). These BGCs represent a vast diversity of biosynthetic pathways for natural product synthesis, indicating significant untapped potential for discovering new metabolites. To exploit this potential, genome mining using comprehensive strategies that leverage extensive genomic databases can be conducted. By linking BGCs to their encoded products and integrating genetic manipulation techniques, researchers can greatly enhance the identification of new secondary metabolites with therapeutic relevance. In this context, we present a step-by-step guide for using the antiSMASH pipeline to identify secondary metabolite-coding BGCs within the complete genome of a novel Streptomyces strain. This protocol also outlines gene manipulation methods that can be applied to Streptomyces to activate cryptic clusters of interest and validate the functions of biosynthetic genes. By following these guidelines, researchers can pave the way for discovering and characterizing valuable natural products.
Source: The Journal of Microbiology
DOI: 10.71150/jm.2409026
Authors: Heonjun Jeong, YeonU Choe, Jiyoon Nam, Yeon Hee Ban
Institution: Kangwon National University
Language: English
Subfield: Pharmacology
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Estimated APC paid: $3,690
Funders: U.S. Department of Energy, U.S. Department of Health and Human Services, National Research Foundation, Kangwon National University, Ministry of Education, National Research Foundation of Korea, Ministry of Science and ICT, South Korea, National Institutes of Health, Institute for Information and Communications Technology Promotion, National Institute of Allergy and Infectious Diseases, Division of Human Resource Development
OpenAlex ID: W4409959441
