RESUMO
Currently, we are at the threshold of the 'post-antibiotic era' due to the global emergence of antimicrobial resistance (AMR), and hence there is a dire need to discover new antibiotics. Ribosomally synthesized and post-translationally modified peptides (RiPPs) are a diverse class of natural products (NPs), some of which are under clinical trials for their antimicrobial potential. Thiopeptides are structurally one of the most complex classes of RiPPs due to numerous post-translational modifications (PTMs), with [4+2] cycloaddition being the core PTM and are active against several gram-positive pathogens. Genome mining coupled with experimental work can harness the unexplored 'cryptic' gene clusters while minimizing the rate of the rediscovery of known metabolites and expand the molecular diversity of NPs with medicinal potential. Employing the genome mining approach using a series of freely available bioinformatics tools, we have identified eight novel putative thiopeptide encoding biosynthetic gene clusters (BGCs) from different bacterial genomes, most of which belong to the class Actinobacteria. Our results provide confidence in the newly identified BGCs, to proceed with wet-bench experiments and discover novel thiopeptide(s).