Publication | Open Access
Metabologenomics: Correlation of Microbial Gene Clusters with Metabolites Drives Discovery of a Nonribosomal Peptide with an Unusual Amino Acid Monomer
139
Citations
24
References
2016
Year
Bioorganic ChemistryMetabolomic ProfilingSecondary MetaboliteMetabolic ModelDrug ResistanceMedicinal ChemistryNatural Product BiosynthesisNatural ProductsMicrobial Gene ClustersNonribosomal PeptideBiochemistryMetabolites Drives DiscoveryAntimicrobial CompoundMicrobiomeMetabolomicsPharmacologyDrug DevelopmentPharmaceutical IndustryNatural SciencesActinomycete GenomesRational Drug DesignSynthetic BiologyMicrobiologyMetabolic ProfilingMedicineDrug Discovery
For more than half a century the pharmaceutical industry has sifted through natural products produced by microbes, uncovering new scaffolds and fashioning them into a broad range of vital drugs. We sought a strategy to reinvigorate the discovery of natural products with distinctive structures using bacterial genome sequencing combined with metabolomics. By correlating genetic content from 178 actinomycete genomes with mass spectrometry-enabled analyses of their exported metabolomes, we paired new secondary metabolites with their biosynthetic gene clusters. We report the use of this new approach to isolate and characterize tambromycin, a new chlorinated natural product, composed of several nonstandard amino acid monomeric units, including a unique pyrrolidine-containing amino acid we name tambroline. Tambromycin shows antiproliferative activity against cancerous human B- and T-cell lines. The discovery of tambromycin via large-scale correlation of gene clusters with metabolites (a.k.a. metabologenomics) illuminates a path for structure-based discovery of natural products at a sharply increased rate.
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