ArticleScientific data2025
An expanded database of high-resolution MS/MS spectra for lichen-derived natural products.
Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Dereplicative Combination of HPLC/DAD/MS and 2D NMR to Identify Lichexanthone Isomers in Lichen Extracts.Phytochemical analysis : PCA · 2026Article
- Poikilohydria, polyols, and homeoviscosity: lichen metabolomic remodeling across environmental gradients.Frontiers in plant science · 2026Article
- A Biosynthetic and Taxonomic Atlas of the Global Lichen Holobiont.Environmental microbiology · 2025Article
- An expanded database of high-resolution MS/MS spectra for lichen-derived natural products.Scientific data · 2025Article
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Authors and funding
5 authors.
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Abstract
The history of lichen compound identification has long relied on techniques such as spot tests and TLC, which have been surpassed in sensitivity and accuracy by modern metabolomic techniques such as high-resolution MS/MS. In 2019, Olivier-Jimenez et al. released the Lichen DataBase (LDB), a library containing the Q-TOF MS/MS spectra of 251 metabolites on the MetaboLights and GNPS platforms, that has been widely used for the identification of lichen-derived unknowns. To increase the compound coverage, we have generated the Orbitrap MS/MS spectra of a further 534 lichen-derived compounds from the metabolite library of Jack Elix, housed at the CANB herbarium (Canberra, Australia). This included 399 unique metabolites that are not in the LDB, bringing the total number combined to 650. Technical validation was achieved by investigating the compounds in three Australian lichen extracts using the Library Search and Molecular Networking tools on the GNPS platform. This update provides a much larger database for lichen compound identification, which we envisage will allow refining the lichen chemotaxonomy framework and contribute to compound discovery.
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