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Digitizing mass spectrometry data to explore the chemical diversity and distribution of marine cyanobacteria and algae
Luzzatto-Knaan, T.; Garg, N.; Wang, M.; Glukhov, E.; Peng, Y.; Ackermann, G.; Amir, A.; Duggan, B.M.; Ryazanov, S.; Gerwick, L.; Knight, R.; Alexandrov, T.; Bandeira, N.; Gerwick, W.H.; Dorrestein, P.C. (2017). Digitizing mass spectrometry data to explore the chemical diversity and distribution of marine cyanobacteria and algae. eLIFE 6: e24214. https://dx.doi.org/10.7554/eLife.24214.001
In: eLIFE. eLife Sciences Publications: Cambridge. e-ISSN 2050-084X
Peer reviewed article  
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  • Luzzatto-Knaan, T.
  • Garg, N.
  • Wang, M.
  • Glukhov, E.
  • Peng, Y.
  • Ackermann, G.
  • Amir, A.
  • Duggan, B.M.
  • Ryazanov, S.
  • Gerwick, L.
  • Knight, R.
  • Alexandrov, T.
  • Bandeira, N.
  • Gerwick, W.H.
  • Dorrestein, P.C.
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.
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