Metabologenomics: Correlation of Microbial Gene Clusters with Metabolites Drives Discovery of a Nonribosomal Peptide with an Unusual Amino Acid Monomer

Autor: Nicole A. Haverland, Neil L. Kelleher, James R. Doroghazi, Kou San Ju, Anthony W. Goering, Jessica C. Albright, Yongbo Zhang, Ryan A. McClure, William W. Metcalf, Regan J. Thomson
Rok vydání: 2016
Předmět:
Zdroj: ACS Central Science, Vol 2, Iss 2, Pp 99-108 (2016)
ACS Central Science
ISSN: 2374-7951
2374-7943
Popis: 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.
By correlating metabolite profiles for hundreds of soil bacteria with their interpreted genomes, the gene cluster encoding a new peptide natural product was identified—which included genes that produce a new amino acid (tambroline).
Databáze: OpenAIRE