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Sustainable Low-Volume Analysis of Environmental Samples by Semi-Automated Prioritization of Extracts for Natural Product Research (SeaPEPR)

The discovery of novel natural products (NPs) that will serve as lead structures has to be an ongoing effort to fill the respective development pipelines. However, identification of NPs, which possess a potential for application in e.g., the pharma or agro sector, must be as cost effective and fast...

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Autores principales: , Riyanti, Marner, Michael, Hartwig, Christoph, Patras, Maria A., Wodi, Stevy I. M., Rieuwpassa, Frets J., Ijong, Frans G., Balansa, Walter, Schäberle, Till F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7765863/
https://www.ncbi.nlm.nih.gov/pubmed/33348536
http://dx.doi.org/10.3390/md18120649
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author , Riyanti
Marner, Michael
Hartwig, Christoph
Patras, Maria A.
Wodi, Stevy I. M.
Rieuwpassa, Frets J.
Ijong, Frans G.
Balansa, Walter
Schäberle, Till F.
author_facet , Riyanti
Marner, Michael
Hartwig, Christoph
Patras, Maria A.
Wodi, Stevy I. M.
Rieuwpassa, Frets J.
Ijong, Frans G.
Balansa, Walter
Schäberle, Till F.
author_sort , Riyanti
collection PubMed
description The discovery of novel natural products (NPs) that will serve as lead structures has to be an ongoing effort to fill the respective development pipelines. However, identification of NPs, which possess a potential for application in e.g., the pharma or agro sector, must be as cost effective and fast as possible. Furthermore, the amount of sample available for initial testing is usually very limited, not least because of the fact that the impact on the environment, i.e., the sampled biosystem, should be kept minimal. Here, our pipeline SeaPEPR is described, in which a primary bioactivity screening of crude extracts is combined with the analysis of their metabolic fingerprint. This enabled prioritization of samples for subsequent microfractionation and dereplication of the active compounds early in the workflow. As a case study, 76 marine sponge-derived extracts were screened against a microbial screening panel. Thereunder, human pathogenic bacteria (Escherichia coli ATCC35218 and Staphylococcus aureus ATCC33592) and yeast (Candida albicans FH2173), as well as the phytopathogenic fungus Septoria tritici MUCL45407. Overall, nine extracts revealed activity against at least one test organism. Metabolic fingerprinting enabled assigning four active extracts into one metabolic group; therefore, one representative was selected for subsequent microfractionation. Dereplication of the active fractions showed a new dibrominated aplysinopsin and a hypothetical chromazonarol stereoisomer derivative. Furthermore, inhibitory activity against the common plant pest Septoria tritici was discovered for NPs of marine origin.
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spelling pubmed-77658632020-12-28 Sustainable Low-Volume Analysis of Environmental Samples by Semi-Automated Prioritization of Extracts for Natural Product Research (SeaPEPR) , Riyanti Marner, Michael Hartwig, Christoph Patras, Maria A. Wodi, Stevy I. M. Rieuwpassa, Frets J. Ijong, Frans G. Balansa, Walter Schäberle, Till F. Mar Drugs Article The discovery of novel natural products (NPs) that will serve as lead structures has to be an ongoing effort to fill the respective development pipelines. However, identification of NPs, which possess a potential for application in e.g., the pharma or agro sector, must be as cost effective and fast as possible. Furthermore, the amount of sample available for initial testing is usually very limited, not least because of the fact that the impact on the environment, i.e., the sampled biosystem, should be kept minimal. Here, our pipeline SeaPEPR is described, in which a primary bioactivity screening of crude extracts is combined with the analysis of their metabolic fingerprint. This enabled prioritization of samples for subsequent microfractionation and dereplication of the active compounds early in the workflow. As a case study, 76 marine sponge-derived extracts were screened against a microbial screening panel. Thereunder, human pathogenic bacteria (Escherichia coli ATCC35218 and Staphylococcus aureus ATCC33592) and yeast (Candida albicans FH2173), as well as the phytopathogenic fungus Septoria tritici MUCL45407. Overall, nine extracts revealed activity against at least one test organism. Metabolic fingerprinting enabled assigning four active extracts into one metabolic group; therefore, one representative was selected for subsequent microfractionation. Dereplication of the active fractions showed a new dibrominated aplysinopsin and a hypothetical chromazonarol stereoisomer derivative. Furthermore, inhibitory activity against the common plant pest Septoria tritici was discovered for NPs of marine origin. MDPI 2020-12-17 /pmc/articles/PMC7765863/ /pubmed/33348536 http://dx.doi.org/10.3390/md18120649 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
, Riyanti
Marner, Michael
Hartwig, Christoph
Patras, Maria A.
Wodi, Stevy I. M.
Rieuwpassa, Frets J.
Ijong, Frans G.
Balansa, Walter
Schäberle, Till F.
Sustainable Low-Volume Analysis of Environmental Samples by Semi-Automated Prioritization of Extracts for Natural Product Research (SeaPEPR)
title Sustainable Low-Volume Analysis of Environmental Samples by Semi-Automated Prioritization of Extracts for Natural Product Research (SeaPEPR)
title_full Sustainable Low-Volume Analysis of Environmental Samples by Semi-Automated Prioritization of Extracts for Natural Product Research (SeaPEPR)
title_fullStr Sustainable Low-Volume Analysis of Environmental Samples by Semi-Automated Prioritization of Extracts for Natural Product Research (SeaPEPR)
title_full_unstemmed Sustainable Low-Volume Analysis of Environmental Samples by Semi-Automated Prioritization of Extracts for Natural Product Research (SeaPEPR)
title_short Sustainable Low-Volume Analysis of Environmental Samples by Semi-Automated Prioritization of Extracts for Natural Product Research (SeaPEPR)
title_sort sustainable low-volume analysis of environmental samples by semi-automated prioritization of extracts for natural product research (seapepr)
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7765863/
https://www.ncbi.nlm.nih.gov/pubmed/33348536
http://dx.doi.org/10.3390/md18120649
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