Heonjun Jeong, YeonU Choe, Jiyoon Nam, Yeon Hee Ban
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A guide to genome mining and genetic manipulation of biosynthetic gene clusters in Streptomyces.
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.
期刊介绍:
Publishes papers that deal with research on microorganisms, including archaea, bacteria, yeasts, fungi, microalgae, protozoa, and simple eukaryotic microorganisms. Topics considered for publication include Microbial Systematics, Evolutionary Microbiology, Microbial Ecology, Environmental Microbiology, Microbial Genetics, Genomics, Molecular Biology, Microbial Physiology, Biochemistry, Microbial Pathogenesis, Host-Microbe Interaction, Systems Microbiology, Synthetic Microbiology, Bioinformatics and Virology. Manuscripts dealing with simple identification of microorganism(s), cloning of a known gene and its expression in a microbial host, and clinical statistics will not be considered for publication by JM.