An expanded database of high-resolution MS/MS spectra for lichen-derived natural products

Joe Bracegirdle, John A. Elix, Udayangani Mawalagedera, Yit-Heng Chooi, Cecile Gueidan

Research output: Contribution to journalData articlepeer-review

1 Citation (Scopus)

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.
Original languageEnglish
Article number244
Pages (from-to)244
Number of pages1
JournalScientific Data
Volume12
Issue number1
DOIs
Publication statusPublished - Dec 2025

Fingerprint

Dive into the research topics of 'An expanded database of high-resolution MS/MS spectra for lichen-derived natural products'. Together they form a unique fingerprint.

Cite this