2016
DOI: 10.3389/fmicb.2016.01594
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The Madeira Archipelago As a Significant Source of Marine-Derived Actinomycete Diversity with Anticancer and Antimicrobial Potential

Abstract: Marine-derived actinomycetes have demonstrated an ability to produce novel compounds with medically relevant biological activity. Studying the diversity and biogeographical patterns of marine actinomycetes offers an opportunity to identify genera that are under environmental pressures, which may drive adaptations that yield specific biosynthetic capabilities. The present study describes research efforts to explore regions of the Atlantic Ocean, specifically around the Madeira Archipelago, where knowledge of th… Show more

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Cited by 31 publications
(60 citation statements)
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“…To assess the metabolomic diversity of the Macaronesia MAR4 lineage, six strains from this clade, previously isolated from marine sediment samples collected off the Madeira Archipelago (Prieto‐Davó et al ., ) (Supporting Information Table S1), were investigated for their ability to produce biologically active metabolites and for their differences in secondary metabolite content both by chromatographic profiling, multivariate analyses and MS/MS‐based molecular networking (Moree et al ., ; Wang et al ., ). A multivariate statistical analysis (PLS‐DA), which correlated the metabolomics results and anti‐biofilm activity assays, was used to determine the class of bioactive metabolites with anti‐biofilm activity.…”
Section: Resultsmentioning
confidence: 99%
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“…To assess the metabolomic diversity of the Macaronesia MAR4 lineage, six strains from this clade, previously isolated from marine sediment samples collected off the Madeira Archipelago (Prieto‐Davó et al ., ) (Supporting Information Table S1), were investigated for their ability to produce biologically active metabolites and for their differences in secondary metabolite content both by chromatographic profiling, multivariate analyses and MS/MS‐based molecular networking (Moree et al ., ; Wang et al ., ). A multivariate statistical analysis (PLS‐DA), which correlated the metabolomics results and anti‐biofilm activity assays, was used to determine the class of bioactive metabolites with anti‐biofilm activity.…”
Section: Resultsmentioning
confidence: 99%
“…S. xinghaiensis was used as reference to show the MAR4 grouping within Streptomyces and Micromonospora sagamiensis was used as outgroup. Sequences were aligned using ClustalX and the alignment used to create a maximum likelihood phylogenetic tree of 1279 bp using MEGA with 1000 bootstraps (Prieto‐Davó et al ., ). [Color figure can be viewed at wileyonlinelibrary.com]…”
Section: Resultsmentioning
confidence: 99%
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