• MeSH
• alkaloidy biosyntéza   MeSH
• Bacteria genetika   metabolismus   MeSH
• biosyntéza peptidů nezávislá na nukleových kyselinách MeSH
• databáze genetické MeSH
• genetické markery MeSH
• houby genetika   metabolismus   MeSH
• metagenom MeSH
• mezinárodní spolupráce MeSH
• multigenová rodina * MeSH
• peptidy metabolismus   MeSH
• polyketidy metabolismus   MeSH
• polysacharidy biosyntéza   MeSH
• proteosyntéza * MeSH
• rostliny genetika   metabolismus   MeSH
• terminologie jako téma MeSH
• terpeny metabolismus   MeSH
• výpočetní biologie normy   MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH
• Research Support, U.S. Gov't, Non-P.H.S. MeSH

Streptomyces are among the most promising genera in terms of production ability to biosynthesize a variety of bioactive secondary metabolites with pharmaceutical interest. Coinciding with the increase in genomic sequencing of these bacteria, mining of their genomes for biosynthetic gene clusters (BGCs) has become a routine component of natural product discovery. Herein, we describe the isolation and characterization of a Streptomyces tendae VITAKN with quorum sensing inhibitory (QSI) activity that was isolated from southern coastal part of India. The nearly complete genome consists of 8,621,231bp with a GC content of 72.2%. Sequence similarity networks of the BGCs detected from this strain against the Minimum Information about a Biosynthetic Gene Cluster (MIBiG) database and 3365 BGCs predicted by antiSMASH analysis of publicly available complete Streptomyces genomes were generated through the BiG-SCAPE-CORASON platform to evaluate its biosynthetic novelty. Crude extract analysis using high-performance liquid chromatography connected to high resolution tandem mass spectrometry (HPLC-HRMS/MS) and dereplication through the Global Natural Product Social Molecular Networking (GNPS) online workflow resulted in the identification of cyclic dipeptides (2, 5-diketopiperazines, DKPs) in the extract, which are known to possess QSI activity. Our results highlight the potential of genome mining coupled with LC-HRMS/MS and in silico tools (GNPS) as a valid approach for the discovery of novel QSI lead compounds. This study also provides the biosynthetic diversity of BGCs and an assessment of the predicted chemical space yet to be discovered.

• Publikační typ
• časopisecké články MeSH