TY - JOUR
T1 - Digitizing mass spectrometry data to explore the chemical diversity and distribution of marine cyanobacteria and algae
AU - Luzzatto-Knaan, Tal
AU - Garg, Neha
AU - Wang, Mingxun
AU - Glukhov, Evgenia
AU - Peng, Yao
AU - Ackermann, Gail
AU - Amir, Amnon
AU - Duggan, Brendan M.
AU - Ryazanov, Sergey
AU - Gerwick, Lena
AU - Knight, Rob
AU - Alexandrov, Theodore
AU - Bandeira, Nuno
AU - Gerwick, William H.
AU - Dorrestein, Pieter C.
N1 - Publisher Copyright: © Luzzatto-Knaan et al.
PY - 2017/5/11
Y1 - 2017/5/11
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85019717084&partnerID=8YFLogxK
U2 - https://doi.org/10.7554/eLife.24214
DO - https://doi.org/10.7554/eLife.24214
M3 - Article
C2 - 28492366
SN - 2050-084X
VL - 6
JO - eLife
JF - eLife
M1 - e24214
ER -