ABSTRACT
A new cyclic hexapeptide, baceridin (1), was isolated from the culture medium of a plant-associated Bacillus strain. The structure of 1 was elucidated by HR-HPLC-MS and 1D and 2D NMR experiments and confirmed by ESI MS/MS sequence analysis of the corresponding linear hexapeptide 2. The absolute configurations of the amino acid residues were determined after derivatization by GC-MS and Marfey's method. The cyclopeptide 1 consists partially of nonribosomal-derived D- and allo-D-configured amino acids. The order of the D- and L-leucine residues within the sequence cyclo(-L-Trp-D-Ala-D-allo-Ile-L-Val-D-Leu-L-Leu-) was assigned by total synthesis of the two possible stereoisomers. Baceridin (1) was tested for antimicrobial and cytotoxic activity and displayed moderate cytotoxicity (1-2 µg mL(-1)) as well as weak activity against Staphylococcus aureus. However, it was identified to be a proteasome inhibitor that inhibits cell cycle progression and induces apoptosis in tumor cells by a p53-independent pathway.
Subject(s)
Bacillus/metabolism , Peptides, Cyclic/chemistry , Proteasome Endopeptidase Complex/metabolism , Apoptosis , Cell Cycle Checkpoints/drug effects , Cell Proliferation , HCT116 Cells , HeLa Cells , Humans , Isomerism , Peptides, Cyclic/chemical synthesis , Peptides, Cyclic/toxicity , Proteasome Endopeptidase Complex/chemistry , Tumor Suppressor Protein p53/genetics , Tumor Suppressor Protein p53/metabolismABSTRACT
A major goal in natural product discovery programs is to rapidly dereplicate known entities from complex biological extracts. We demonstrate here that molecular networking, an approach that organizes MS/MS data based on chemical similarity, is a powerful complement to traditional dereplication strategies. Successful dereplication with molecular networks requires MS/MS spectra of the natural product mixture along with MS/MS spectra of known standards, synthetic compounds, or well-characterized organisms, preferably organized into robust databases. This approach can accommodate different ionization platforms, enabling cross correlations of MS/MS data from ambient ionization, direct infusion, and LC-based methods. Molecular networking not only dereplicates known molecules from complex mixtures, it also captures related analogues, a challenge for many other dereplication strategies. To illustrate its utility as a dereplication tool, we apply mass spectrometry-based molecular networking to a diverse array of marine and terrestrial microbial samples, illustrating the dereplication of 58 molecules including analogues.
