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Elife. 2017 May 11;6. pii: e24214. doi: 10.7554/eLife.24214.

Digitizing mass spectrometry data to explore the chemical diversity and distribution of marine cyanobacteria and algae.

Author information

1
Collaborative Mass Spectrometry Innovation Center, Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, San Diego, United States.
2
Center for Computational Mass Spectrometry and Department of Computer Science and Engineering, University of California San Diego, San Diego, United States.
3
Center for Marine Biotechnology and Biomedicine, Scripps Institution of Oceanography, University of California San Diego, San Diego, United States.
4
Department of Chemistry and Biochemistry, University of California San Diego, San Diego, United States.
5
Departments of Pediatrics and Computer Science and Engineering, University of California San Diego, San Diego, United States.
6
European Molecular Biology Laboratory, Heidelberg, Germany.

Abstract

Natural product screening programs have uncovered molecules from diverse natural sources with various biological activities and unique structures. However, much is yet underexplored and additional information is hidden in these exceptional collections. We applied untargeted mass spectrometry approaches to capture the chemical space and dispersal patterns of metabolites from an in-house library of marine cyanobacterial and algal collections. Remarkably, 86% of the metabolomics signals detected were not found in other available datasets of similar nature, supporting the hypothesis that marine cyanobacteria and algae possess distinctive metabolomes. The data were plotted onto a world map representing eight major sampling sites, and revealed potential geographic locations with high chemical diversity. We demonstrate the use of these inventories as a tool to explore the diversity and distribution of natural products. Finally, we utilized this tool to guide the isolation of a new cyclic lipopeptide, yuvalamide A, from a marine cyanobacterium.

KEYWORDS:

Cyanobacteria; Mass spectrometry; Molecular networking; Spectral mapping; ecology

PMID:
28492366
PMCID:
PMC5441867
DOI:
10.7554/eLife.24214
[Indexed for MEDLINE]
Free PMC Article

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