Evidence map›Paper›PMID 26437395›Full record

ArticleMolecules (Basel, Switzerland)2015

Metabolic Profiling of Alpine and Ecuadorian Lichens.

Verena K Mittermeier, Nicola Schmitt, Lukas P M Volk, Juan Pablo Suárez, Andreas Beck, Wolfgang Eisenreich

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Phytochemical Profiling ofPlants (Basel, Switzerland) · 2026
    Article
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  3. Review
  4. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Verena K MittermeierLehrstuhl für Biochemie, Technische Universität München, Lichtenberg-Str. 4, D-85747 Garching, Germany. verena.mittermeier@tum.de.
Nicola SchmittLehrstuhl für Biochemie, Technische Universität München, Lichtenberg-Str. 4, D-85747 Garching, Germany. nicola.schmitt1@gmx.de.
Lukas P M VolkLehrstuhl für Biochemie, Technische Universität München, Lichtenberg-Str. 4, D-85747 Garching, Germany. lukas.volk@web.de.
Juan Pablo SuárezDepartamento de Ciencias Naturales, Universidad Técnica Particular de Loja, San Cayetano Alto s/n, C.P. 11 01 608 Loja, Ecuador. jpsuarez@utpl.edu.ec.
Andreas BeckDepartment of Lichenology and Bryology, Botanische Staatssammlung München, Menzinger Str. 67, D-80638 München, Germany. beck@bsm.mwn.de.
Wolfgang EisenreichLehrstuhl für Biochemie, Technische Universität München, Lichtenberg-Str. 4, D-85747 Garching, Germany. wolfgang.eisenreich@ch.tum.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-targeted ¹H-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.

Indexed as

AscomycotaDNA, RibosomalLichensMetabolomicsPhylogenyPlant ExtractsPrincipal Component AnalysisProton Magnetic Resonance SpectroscopySpecies SpecificityDNA, RibosomalPlant Extractschemotaxonomymetabolomicsprinciple component analysisStereocaulonStictasticticin

Identifiers

PMID26437395
PMCPMC6332210

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.