Coronavirus Information for the UC San Diego Community

Our leaders are working closely with federal and state officials to ensure your ongoing safety at the university. Stay up to date with the latest developments. Learn more.

A metabolomics guided exploration of marine natural product chemical space

TitleA metabolomics guided exploration of marine natural product chemical space
Publication TypeJournal Article
Year of Publication2016
AuthorsFloros D.J, Jensen PR, Dorrestein PC, Koyama N.
Date Published2016/09
Type of ArticleArticle
ISBN Number1573-3882
Accession NumberWOS:000384337700003
Keywordsaureobasidium-pullulans; database; dereplication; derivatives; discovery; drug; fermentation; Integration; marine natural products; mass spectrometry; mass-spectrometry; metabolites; metabolomics; molecular; molecular networking; networking

Natural products from culture collections have enormous impact in advancing discovery programs for metabolites of biotechnological importance. These discovery efforts rely on the metabolomic characterization of strain collections.  Many emerging approaches compare metabolomic profiles of such collections, but few enable the analysis and prioritization of thousands of samples from diverse organisms while delivering chemistry-specific read outs.  In this work we utilize untargeted LC-MS/MS based metabolomics together with molecular networking to inventory the chemistries associated with 1000 marine microorganisms. This approach annotated 76 molecular families (a spectral match rate of 28 %), including clinically and biotechnologically important molecules such as valinomycin, actinomycin D, and desferrioxamine E. Targeting a molecular family produced primarily by one microorganism led to the isolation and structure elucidation of two new molecules designated maridric acids A and B. Molecular networking guided exploration of large culture collections allows for rapid dereplication of know molecules and can highlight producers of uniques metabolites. These methods, together with large culture collections and growing databases, allow for data driven strain prioritization with a focus on novel chemistries.

Student Publication: 
Research Topics: