Feature-Based Molecular Networking-An Exciting Tool to Spot Species of the Genus Cortinarius with Hidden Photosensitizers.
Fabian HammerleLuis-Manuel Quiros-GuerreroAdriano RutzJean-Luc WolfenderHarald SchöbelUrsula PeintnerBianka SiewertPublished in: Metabolites (2021)
Fungi have developed a wide array of defense strategies to overcome mechanical injuries and pathogen infections. Recently, photoactivity has been discovered by showing that pigments isolated from Cortinarius uliginosus produce singlet oxygen under irradiation. To test if this phenomenon is limited to dermocyboid Cortinarii, six colourful Cortinarius species belonging to different classical subgenera (i.e., Dermocybe, Leprocybe, Myxacium, Phlegmacium, and Telamonia) were investigated. Fungal extracts were explored by the combination of in vitro photobiological methods, UHPLC coupled to high-resolution tandem mass spectrometry (UHPLC-HRMS2), feature-based molecular networking (FBMN), and metabolite dereplication techniques. The fungi C. rubrophyllus (Dermocybe) and C. xanthophyllus (Phlegmacium) exhibited promising photobiological activity in a low concentration range (1-7 µg/mL). Using UHPLC-HRMS2-based metabolomic tools, the underlying photoactive principle was investigated. Several monomeric and dimeric anthraquinones were annotated as compounds responsible for the photoactivity. Furthermore, the results showed that light-induced activity is not restricted to a single subgenus, but rather is a trait of Cortinarius species of different phylogenetic lineages and is linked to the presence of fungal anthraquinones. This study highlights the genus Cortinarius as a promising source for novel photopharmaceuticals. Additionally, we showed that putative dereplication of natural photosensitizers can be done by FBMN.
Keyphrases
- tandem mass spectrometry
- ultra high performance liquid chromatography
- high resolution mass spectrometry
- liquid chromatography
- high resolution
- simultaneous determination
- gas chromatography
- high performance liquid chromatography
- ms ms
- mass spectrometry
- solid phase extraction
- photodynamic therapy
- machine learning
- deep learning
- atomic force microscopy
- genome wide
- gene expression
- high throughput
- radiation therapy
- candida albicans
- dna methylation
- high density