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Metabolic Profiling of Alpine and Ecuadorian Lichens

Non-targeted (1)H-NMR methods were used to determine metabolite profiles from crude extracts of Alpine and Ecuadorian lichens collected from their natural habitats. In control experiments, the robustness of metabolite detection and quantification was estimated using replicate measurements of Stereoc...

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Autores principales: Mittermeier, Verena K., Schmitt, Nicola, Volk, Lukas P. M., Suárez, Juan Pablo, Beck, Andreas, Eisenreich, Wolfgang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6332210/
https://www.ncbi.nlm.nih.gov/pubmed/26437395
http://dx.doi.org/10.3390/molecules201018047
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author Mittermeier, Verena K.
Schmitt, Nicola
Volk, Lukas P. M.
Suárez, Juan Pablo
Beck, Andreas
Eisenreich, Wolfgang
author_facet Mittermeier, Verena K.
Schmitt, Nicola
Volk, Lukas P. M.
Suárez, Juan Pablo
Beck, Andreas
Eisenreich, Wolfgang
author_sort Mittermeier, Verena K.
collection PubMed
description Non-targeted (1)H-NMR methods were used to determine metabolite profiles from crude extracts of Alpine and Ecuadorian lichens collected from their natural habitats. In control experiments, the robustness of metabolite detection and quantification was estimated using replicate measurements of Stereocaulon alpinum extracts. The deviations in the overall metabolite fingerprints were low when analyzing S. alpinum collections from different locations or during different annual and seasonal periods. In contrast, metabolite profiles observed from extracts of different Alpine and Ecuadorian lichens clearly revealed genus- and species-specific profiles. The discriminating functions determining cluster formation in principle component analysis (PCA) were due to differences in the amounts of genus-specific compounds such as sticticin from the Sticta species, but also in the amounts of ubiquitous metabolites, such as sugar alcohols or trehalose. However, varying concentrations of these metabolites from the same lichen species e.g., due to different environmental conditions appeared of minor relevance for the overall cluster formation in PCA. The metabolic clusters matched phylogenetic analyses using nuclear ribosomal DNA (nrDNA) internal transcribed spacer (ITS) sequences of lichen mycobionts, as exemplified for the genus Sticta. It can be concluded that NMR-based non-targeted metabolic profiling is a useful tool in the chemo-taxonomy of lichens. The same approach could also facilitate the discovery of novel lichen metabolites on a rapid and systematical basis.
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spelling pubmed-63322102019-01-24 Metabolic Profiling of Alpine and Ecuadorian Lichens Mittermeier, Verena K. Schmitt, Nicola Volk, Lukas P. M. Suárez, Juan Pablo Beck, Andreas Eisenreich, Wolfgang Molecules Article Non-targeted (1)H-NMR methods were used to determine metabolite profiles from crude extracts of Alpine and Ecuadorian lichens collected from their natural habitats. In control experiments, the robustness of metabolite detection and quantification was estimated using replicate measurements of Stereocaulon alpinum extracts. The deviations in the overall metabolite fingerprints were low when analyzing S. alpinum collections from different locations or during different annual and seasonal periods. In contrast, metabolite profiles observed from extracts of different Alpine and Ecuadorian lichens clearly revealed genus- and species-specific profiles. The discriminating functions determining cluster formation in principle component analysis (PCA) were due to differences in the amounts of genus-specific compounds such as sticticin from the Sticta species, but also in the amounts of ubiquitous metabolites, such as sugar alcohols or trehalose. However, varying concentrations of these metabolites from the same lichen species e.g., due to different environmental conditions appeared of minor relevance for the overall cluster formation in PCA. The metabolic clusters matched phylogenetic analyses using nuclear ribosomal DNA (nrDNA) internal transcribed spacer (ITS) sequences of lichen mycobionts, as exemplified for the genus Sticta. It can be concluded that NMR-based non-targeted metabolic profiling is a useful tool in the chemo-taxonomy of lichens. The same approach could also facilitate the discovery of novel lichen metabolites on a rapid and systematical basis. MDPI 2015-10-01 /pmc/articles/PMC6332210/ /pubmed/26437395 http://dx.doi.org/10.3390/molecules201018047 Text en © 2015 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 license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Mittermeier, Verena K.
Schmitt, Nicola
Volk, Lukas P. M.
Suárez, Juan Pablo
Beck, Andreas
Eisenreich, Wolfgang
Metabolic Profiling of Alpine and Ecuadorian Lichens
title Metabolic Profiling of Alpine and Ecuadorian Lichens
title_full Metabolic Profiling of Alpine and Ecuadorian Lichens
title_fullStr Metabolic Profiling of Alpine and Ecuadorian Lichens
title_full_unstemmed Metabolic Profiling of Alpine and Ecuadorian Lichens
title_short Metabolic Profiling of Alpine and Ecuadorian Lichens
title_sort metabolic profiling of alpine and ecuadorian lichens
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6332210/
https://www.ncbi.nlm.nih.gov/pubmed/26437395
http://dx.doi.org/10.3390/molecules201018047
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