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An Isotopic Labeling Approach Linking Natural Products with Biosynthetic Gene Clusters

Major advances in genome sequencing and large-scale biosynthetic gene cluster (BGC) analysis have prompted an age of natural product discovery driven by genome mining. Still, connecting molecules to their cognate BGCs is a substantial bottleneck for this approach. We have developed a mass spectromet...

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Detalles Bibliográficos
Autores principales: McCaughey, Catherine S., van Santen, Jeffrey A., van der Hooft, Justin J. J., Medema, Marnix H., Linington, Roger G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8891042/
https://www.ncbi.nlm.nih.gov/pubmed/34969972
http://dx.doi.org/10.1038/s41589-021-00949-6
Descripción
Sumario:Major advances in genome sequencing and large-scale biosynthetic gene cluster (BGC) analysis have prompted an age of natural product discovery driven by genome mining. Still, connecting molecules to their cognate BGCs is a substantial bottleneck for this approach. We have developed a mass spectrometry-based parallel stable isotope labeling platform, termed IsoAnalyst, which assists in associating metabolite stable isotope labeling patterns with BGC structure prediction in order to connect natural products to their corresponding BGCs. Here we show that IsoAnalyst can quickly associate both known metabolites and unknown analytes with BGCs to elucidate the complex chemical phenotypes of these biosynthetic systems. We validate this approach for a range of compound classes, using both the type strain Saccharopolyspora erythraea and an environmentally isolated Micromonospora sp. We further demonstrated the utility of this tool with the discovery of lobosamide D, a new and structurally unique member of the family of lobosamide macrolactams.