NMR-Metabolomic Profiling and Genome Mining Drive the Discovery of Cyclic Decapeptides from a Marine Streptomyces .
Huiming HuangLiangguang YueFayu DengXiaoyu WangNing WangHu ChenHuayue LiPublished in: Journal of natural products (2023)
The integration of NMR-metabolomic and genomic analyses can provide enhanced identification of structural properties as well as key biosynthetic information, thus achieving the targeted discovery of new natural products. For this purpose, NMR-based metabolomic profiling of the marine-derived Streptomyces sp. S063 (CGMCC 14582) was performed, by which N -methylated peptides possessing unusual negative 1 H NMR chemical shift values were tracked. Meanwhile, genome mining of this strain revealed the presence of an unknown NRPS gene cluster ( len ) with piperazic-acid-encoding genes ( lenE and lenF ). Under the guidance of the combined information, two cyclic decapeptides, lenziamides D1 ( 1 ) and B1 ( 2 ), were isolated from Streptomyces sp. S063, which contains piperazic acids with negative 1 H NMR values. The structures of 1 and 2 were determined by extensive spectroscopic analysis combined with Marfey's method and ECD calculations. Furthermore, we provided a detailed model of lenziamide ( 1 and 2 ) biosynthesis in Streptomyces sp. S063. In the cytotoxicity evaluation, 1 and 2 showed moderate growth inhibition against the human cancer cells HEL, H1975, H1299, and drug-resistant A549-taxol with IC 50 values of 8-24 μM.
Keyphrases
- high resolution
- magnetic resonance
- drug resistant
- solid state
- genome wide
- multidrug resistant
- single cell
- small molecule
- endothelial cells
- high throughput
- acinetobacter baumannii
- dna methylation
- molecular dynamics
- high intensity
- mass spectrometry
- healthcare
- genome wide identification
- molecular dynamics simulations
- social media
- transcription factor