Noursamycins, Chlorinated Cyclohexapeptides Identified from Molecular Networking of Streptomyces noursei NTR-SR4.
Cynthia M MudalunguWipert J von TörneKerstin VoigtChristian RückertStefan SchmitzOlga N SekurovaSergey B ZotchevRoderich D SüssmuthPublished in: Journal of natural products (2019)
The noursamycins A-F are chlorinated cyclic hexapeptides, which were identified and isolated from the strain Streptomyces noursei NTR-SR4 overexpressing a LuxR-like transcriptional activator. The molecules were structurally characterized by mass spectrometric analyses and 1D and 2D NMR spectroscopic techniques. The enzymatic machinery involved in the biosynthesis of these peptides is represented by a modular nonribosomal peptide synthetase (NRPS), and the corresponding gene cluster was identified in the S. noursei genome. The latter suggested the biosynthetic pathway for the noursamycins. Spectral networking analysis uncovered noursamycin derivatives that were later found to result from a relaxed substrate specificity of the A3 and A4 adenylation domains of the NRPS. The stereochemistry of the amino acid constituents of the noursamycins was resolved by chemical derivatization, subsequent enantiomer analytics by GC-EIMS, and in silico data analyses. Noursamycins A and B exhibited antibacterial activity against Gram-positive and Gram-negative bacteria, while no apparent cytotoxicity was observed.
Keyphrases
- amino acid
- gas chromatography
- molecular docking
- big data
- genome wide
- magnetic resonance
- mass spectrometry
- tandem mass spectrometry
- optical coherence tomography
- ms ms
- electronic health record
- gram negative
- gene expression
- simultaneous determination
- liquid chromatography tandem mass spectrometry
- copy number
- gas chromatography mass spectrometry
- structural basis
- high resolution mass spectrometry
- immune response
- ultra high performance liquid chromatography
- inflammatory response
- high performance liquid chromatography
- liquid chromatography
- dna methylation
- oxidative stress
- magnetic resonance imaging
- diffusion weighted imaging
- molecular dynamics simulations
- multidrug resistant
- deep learning