Biodiversity in targeted metabolomics analysis of filamentous fungal pathogens by 1H NMR-based studies
| Autor: | Piotr Młynarz, Magdalena Klimek-Ochab, Adam Ząbek, Ewa Jawień |
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| Rok vydání: | 2017 |
| Předmět: |
0301 basic medicine
Physiology Proton Magnetic Resonance Spectroscopy Geotrichum Xylose Filamentous fungal pathogen Applied Microbiology and Biotechnology Microbiology Chemometrics 03 medical and health sciences chemistry.chemical_compound Metabolomics Fusarium Species Specificity Fusarium oxysporum Glycerol 1H NMR spectroscopy Original Paper Aspergillus biology Ascomycota Fungi Biodiversity General Medicine 030108 mycology & parasitology biology.organism_classification 030104 developmental biology chemistry Biotechnology |
| Zdroj: | World Journal of Microbiology & Biotechnology |
| ISSN: | 1573-0972 0959-3993 |
| Popis: | The taxonomical classification among fungi kingdom in the last decades was evolved. In this work the targeted metabolomics study based on 1H NMR spectroscopy combined with chemometrics tools was reported to be useful for differentiation of three model of fungal strains, which represent various genus of Ascomycota (Aspergillus pallidofulvus, Fusarium oxysporum, Geotrichum candidum) were selected in order to perform metabolomics studies. Each tested species, revealed specific metabolic profile of primary endo-metabolites. The species of A. pallidofulvus is represented by the highest concentration of glycerol, glucitol and Unk5. While, F. oxysporum species is characterised by increased level of propylene glycol, ethanol, 4-aminobutyrate, succinate, xylose, Unk1 and Unk4. In G. candidum, 3-methyl-2-oxovalerate, glutamate, pyruvate, glutamine and citrate were elevated. Additionally, a detailed analysis of metabolic changes among A. pallidofulvus, F. oxysporum and G. candidum showed that A. pallidofulvus seems to be the most pathogenic fungi. The obtained results demonstrated that targeted metabolomics analysis could be utilized in the future as a supporting taxonomical tool for currently methods. Graphical Abstract |
| Databáze: | OpenAIRE |
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