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

Authors :
Tal Luzzatto-Knaan
Neha Garg
Mingxun Wang
Evgenia Glukhov
Yao Peng
Gail Ackermann
Amnon Amir
Brendan M Duggan
Sergey Ryazanov
Lena Gerwick
Rob Knight
Theodore Alexandrov
Nuno Bandeira
William H Gerwick
Pieter C Dorrestein
Source :
eLife, Vol 6 (2017)
Publication Year :
2017
Publisher :
eLife Sciences Publications Ltd, 2017.

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.

Details

Language :
English
ISSN :
2050084X
Volume :
6
Database :
Directory of Open Access Journals
Journal :
eLife
Publication Type :
Academic Journal
Accession number :
edsdoj.129261f0ae68487aa62562d90e7cd587
Document Type :
article
Full Text :
https://doi.org/10.7554/eLife.24214