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

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 approac...

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Autores principales: Luzzatto-Knaan, Tal, Garg, Neha, Wang, Mingxun, Glukhov, Evgenia, Peng, Yao, Ackermann, Gail, Amir, Amnon, Duggan, Brendan M, Ryazanov, Sergey, Gerwick, Lena, Knight, Rob, Alexandrov, Theodore, Bandeira, Nuno, Gerwick, William H, Dorrestein, Pieter C
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5441867/
https://www.ncbi.nlm.nih.gov/pubmed/28492366
http://dx.doi.org/10.7554/eLife.24214
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author Luzzatto-Knaan, Tal
Garg, Neha
Wang, Mingxun
Glukhov, Evgenia
Peng, Yao
Ackermann, Gail
Amir, Amnon
Duggan, Brendan M
Ryazanov, Sergey
Gerwick, Lena
Knight, Rob
Alexandrov, Theodore
Bandeira, Nuno
Gerwick, William H
Dorrestein, Pieter C
author_facet Luzzatto-Knaan, Tal
Garg, Neha
Wang, Mingxun
Glukhov, Evgenia
Peng, Yao
Ackermann, Gail
Amir, Amnon
Duggan, Brendan M
Ryazanov, Sergey
Gerwick, Lena
Knight, Rob
Alexandrov, Theodore
Bandeira, Nuno
Gerwick, William H
Dorrestein, Pieter C
author_sort Luzzatto-Knaan, Tal
collection PubMed
description 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. DOI: http://dx.doi.org/10.7554/eLife.24214.001
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spelling pubmed-54418672017-05-24 Digitizing mass spectrometry data to explore the chemical diversity and distribution of marine cyanobacteria and algae Luzzatto-Knaan, Tal Garg, Neha Wang, Mingxun Glukhov, Evgenia Peng, Yao Ackermann, Gail Amir, Amnon Duggan, Brendan M Ryazanov, Sergey Gerwick, Lena Knight, Rob Alexandrov, Theodore Bandeira, Nuno Gerwick, William H Dorrestein, Pieter C eLife Ecology 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. DOI: http://dx.doi.org/10.7554/eLife.24214.001 eLife Sciences Publications, Ltd 2017-05-11 /pmc/articles/PMC5441867/ /pubmed/28492366 http://dx.doi.org/10.7554/eLife.24214 Text en © 2017, Luzzatto-Knaan et al http://creativecommons.org/licenses/by/4.0/ This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Ecology
Luzzatto-Knaan, Tal
Garg, Neha
Wang, Mingxun
Glukhov, Evgenia
Peng, Yao
Ackermann, Gail
Amir, Amnon
Duggan, Brendan M
Ryazanov, Sergey
Gerwick, Lena
Knight, Rob
Alexandrov, Theodore
Bandeira, Nuno
Gerwick, William H
Dorrestein, Pieter C
Digitizing mass spectrometry data to explore the chemical diversity and distribution of marine cyanobacteria and algae
title Digitizing mass spectrometry data to explore the chemical diversity and distribution of marine cyanobacteria and algae
title_full Digitizing mass spectrometry data to explore the chemical diversity and distribution of marine cyanobacteria and algae
title_fullStr Digitizing mass spectrometry data to explore the chemical diversity and distribution of marine cyanobacteria and algae
title_full_unstemmed Digitizing mass spectrometry data to explore the chemical diversity and distribution of marine cyanobacteria and algae
title_short Digitizing mass spectrometry data to explore the chemical diversity and distribution of marine cyanobacteria and algae
title_sort digitizing mass spectrometry data to explore the chemical diversity and distribution of marine cyanobacteria and algae
topic Ecology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5441867/
https://www.ncbi.nlm.nih.gov/pubmed/28492366
http://dx.doi.org/10.7554/eLife.24214
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