Bioactive Molecular Networking for Mapping the Antimicrobial Constituents of the Baltic Brown Alga <i>Fucus vesiculosus</i>

The brown alga <i>Fucus vesiculosus</i> is common to the intertidal zones of the Baltic Sea, where it is exposed to high fouling pressures by microorganisms. Our previous studies showed, repeatedly, the consistent antimicrobial activity of <i>F. vesiculosus</i> crude extracts...

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Main Authors: Larissa Buedenbender, Francesca Anna Astone, Deniz Tasdemir
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Marine Drugs
Subjects:
Online Access:https://www.mdpi.com/1660-3397/18/6/311
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author Larissa Buedenbender
Francesca Anna Astone
Deniz Tasdemir
author_facet Larissa Buedenbender
Francesca Anna Astone
Deniz Tasdemir
author_sort Larissa Buedenbender
collection DOAJ
description The brown alga <i>Fucus vesiculosus</i> is common to the intertidal zones of the Baltic Sea, where it is exposed to high fouling pressures by microorganisms. Our previous studies showed, repeatedly, the consistent antimicrobial activity of <i>F. vesiculosus</i> crude extracts against human pathogens, while untargeted metabolomics analyses have revealed a variety of metabolites. In this study, we applied the UPLC-QToF-MS/MS-based “bioactive molecular networking” (BMN) concept on the most bioactive <i>n-</i>hexane and <i>n</i>-butanol subextracts of Baltic <i>F. vesiculosus</i> coupled with in silico dereplication tools to identify the compounds responsible for antimicrobial activity. The first antimicrobial cluster identified by BMN was galactolipids. Our targeted isolation efforts for this class led to the isolation of six monogalactosyldiacylglycerol (MGDG) derivatives (<b>1</b>–<b>6</b>) and one digalactosyldiacylglycerol (DGDG, <b>7</b>). The MGDGs <b>5</b> and <b>6</b> and the DGDG <b>7</b> exhibited activity against <i>Staphylococcus aureus.</i> The second compound class with high bioactivity was phlorotannins. In particular, phlorethol-type phlorotannins showed high correlations with antimicrobial activity based on the BMN approach, and two phlorotannins (<b>8</b>–<b>9</b>) were isolated. This study shows that antimicrobial components of <i>F. vesiculosus</i> reside in the algal cell walls and membranes and that BMN provides a complementary tool for the targeted isolation of bioactive metabolites.
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spelling doaj.art-ee2a725acc9f4ed79ac1e597059680fb2023-11-20T03:44:56ZengMDPI AGMarine Drugs1660-33972020-06-0118631110.3390/md18060311Bioactive Molecular Networking for Mapping the Antimicrobial Constituents of the Baltic Brown Alga <i>Fucus vesiculosus</i>Larissa Buedenbender0Francesca Anna Astone1Deniz Tasdemir2GEOMAR Centre for Marine Biotechnology (GEOMAR-Biotech), Research Unit Marine Natural Products Chemistry, GEOMAR Helmholtz Centre for Ocean Research Kiel, Am Kiel-Kanal 44, 24106 Kiel, GermanyGEOMAR Centre for Marine Biotechnology (GEOMAR-Biotech), Research Unit Marine Natural Products Chemistry, GEOMAR Helmholtz Centre for Ocean Research Kiel, Am Kiel-Kanal 44, 24106 Kiel, GermanyGEOMAR Centre for Marine Biotechnology (GEOMAR-Biotech), Research Unit Marine Natural Products Chemistry, GEOMAR Helmholtz Centre for Ocean Research Kiel, Am Kiel-Kanal 44, 24106 Kiel, GermanyThe brown alga <i>Fucus vesiculosus</i> is common to the intertidal zones of the Baltic Sea, where it is exposed to high fouling pressures by microorganisms. Our previous studies showed, repeatedly, the consistent antimicrobial activity of <i>F. vesiculosus</i> crude extracts against human pathogens, while untargeted metabolomics analyses have revealed a variety of metabolites. In this study, we applied the UPLC-QToF-MS/MS-based “bioactive molecular networking” (BMN) concept on the most bioactive <i>n-</i>hexane and <i>n</i>-butanol subextracts of Baltic <i>F. vesiculosus</i> coupled with in silico dereplication tools to identify the compounds responsible for antimicrobial activity. The first antimicrobial cluster identified by BMN was galactolipids. Our targeted isolation efforts for this class led to the isolation of six monogalactosyldiacylglycerol (MGDG) derivatives (<b>1</b>–<b>6</b>) and one digalactosyldiacylglycerol (DGDG, <b>7</b>). The MGDGs <b>5</b> and <b>6</b> and the DGDG <b>7</b> exhibited activity against <i>Staphylococcus aureus.</i> The second compound class with high bioactivity was phlorotannins. In particular, phlorethol-type phlorotannins showed high correlations with antimicrobial activity based on the BMN approach, and two phlorotannins (<b>8</b>–<b>9</b>) were isolated. This study shows that antimicrobial components of <i>F. vesiculosus</i> reside in the algal cell walls and membranes and that BMN provides a complementary tool for the targeted isolation of bioactive metabolites.https://www.mdpi.com/1660-3397/18/6/311<i>Fucus vesiculosus</i>brown algabioactive molecular networkingin silico dereplicationmetabolomicsantimicrobial
spellingShingle Larissa Buedenbender
Francesca Anna Astone
Deniz Tasdemir
Bioactive Molecular Networking for Mapping the Antimicrobial Constituents of the Baltic Brown Alga <i>Fucus vesiculosus</i>
Marine Drugs
<i>Fucus vesiculosus</i>
brown alga
bioactive molecular networking
in silico dereplication
metabolomics
antimicrobial
title Bioactive Molecular Networking for Mapping the Antimicrobial Constituents of the Baltic Brown Alga <i>Fucus vesiculosus</i>
title_full Bioactive Molecular Networking for Mapping the Antimicrobial Constituents of the Baltic Brown Alga <i>Fucus vesiculosus</i>
title_fullStr Bioactive Molecular Networking for Mapping the Antimicrobial Constituents of the Baltic Brown Alga <i>Fucus vesiculosus</i>
title_full_unstemmed Bioactive Molecular Networking for Mapping the Antimicrobial Constituents of the Baltic Brown Alga <i>Fucus vesiculosus</i>
title_short Bioactive Molecular Networking for Mapping the Antimicrobial Constituents of the Baltic Brown Alga <i>Fucus vesiculosus</i>
title_sort bioactive molecular networking for mapping the antimicrobial constituents of the baltic brown alga i fucus vesiculosus i
topic <i>Fucus vesiculosus</i>
brown alga
bioactive molecular networking
in silico dereplication
metabolomics
antimicrobial
url https://www.mdpi.com/1660-3397/18/6/311
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