Applying a Chemogeographic Strategy for Natural Product Discovery from the Marine Cyanobacterium Moorena bouillonii

The tropical marine cyanobacterium occupies a large geographic range across the Indian and Western Tropical Pacific Oceans and is a prolific producer of structurally unique and biologically active natural products. An ensemble of computational approaches, including the creation of the ORCA (Objectiv...

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Veröffentlicht in:Marine drugs 2020-10, Vol.18 (10), p.515
Hauptverfasser: Leber, Christopher A, Naman, C Benjamin, Keller, Lena, Almaliti, Jehad, Caro-Diaz, Eduardo J E, Glukhov, Evgenia, Joseph, Valsamma, Sajeevan, T P, Reyes, Andres Joshua, Biggs, Jason S, Li, Te, Yuan, Ye, He, Shan, Yan, Xiaojun, Gerwick, William H
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Sprache:eng
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Zusammenfassung:The tropical marine cyanobacterium occupies a large geographic range across the Indian and Western Tropical Pacific Oceans and is a prolific producer of structurally unique and biologically active natural products. An ensemble of computational approaches, including the creation of the ORCA (Objective Relational Comparative Analysis) pipeline for flexible MS feature detection and multivariate analyses, were used to analyze various samples. The observed chemogeographic patterns suggested the production of regionally specific natural products by . Analyzing the drivers of these chemogeographic patterns allowed for the identification, targeted isolation, and structure elucidation of a regionally specific natural product, doscadenamide A ( ). Analyses of MS fragmentation patterns further revealed this natural product to be part of an extensive family of herein annotated, proposed natural structural analogs (doscadenamides B-J, 2-10); the ensemble of structures reflect a combinatorial biosynthesis using nonribosomal peptide synthetase (NRPS) and polyketide synthase (PKS) components. Compound displayed synergistic in vitro cancer cell cytotoxicity when administered with lipopolysaccharide (LPS). These discoveries illustrate the utility in leveraging chemogeographic patterns for prioritizing natural product discovery efforts.
ISSN:1660-3397
1660-3397
DOI:10.3390/md18100515