Hplc-hrms global metabolomics approach for the diagnosis of 'olive quick decline syndrome' markers in olive trees leaves
| Autor: | Federica Dal Bello, A. Carlucci, Riccardo Aigotti, Francesca Baldassarre, Giuseppe Ciccarella, Pietro Franceschi, Michael Zorzi, Claudio Medana, Francesco Lops, Alberto Asteggiano |
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| Přispěvatelé: | Asteggiano, A., Franceschi, P., Zorzi, M., Aigotti, R., Bello, F. D., Baldassarre, F., Lops, F., Carlucci, A., Medana, C., Ciccarella, G. |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
0106 biological sciences
0301 basic medicine Settore CHIM/01 - CHIMICA ANALITICA Endocrinology Diabetes and Metabolism lcsh:QR1-502 Liquid chromatography Metabolomic Mass spectrometry 01 natural sciences Biochemistry High-resolution mass spectrome-try Metabolomics Olive quick decline syndrome lcsh:Microbiology Article 03 medical and health sciences Hplc hrms high-resolution mass spectrometry Molecular Biology Chromatography biology olive quick decline syndrome liquid chromatography metabolomics Multifactorial disease biology.organism_classification Olive trees 030104 developmental biology Xylella fastidiosa 010606 plant biology & botany |
| Zdroj: | Metabolites Metabolites; Volume 11; Issue 1; Pages: 40 Metabolites, Vol 11, Iss 40, p 40 (2021) |
| Popis: | Olive quick decline syndrome (OQDS) is a multifactorial disease affecting olive plants. The onset of this economically devastating disease has been associated with a Gram-negative plant pathogen called Xylella fastidiosa (Xf). Liquid chromatography separation coupled to high-resolution mass spectrometry detection is one the most widely applied technologies in metabolomics, as it provides a blend of rapid, sensitive, and selective qualitative and quantitative analyses with the ability to identify metabolites. The purpose of this work is the development of a global metabolomics mass spectrometry assay able to identify OQDS molecular markers that could discriminate between healthy (HP) and infected (OP) olive tree leaves. Results obtained via multivariate analysis through an HPLC-ESI HRMS platform (LTQ-Orbitrap from Thermo Scientific) show a clear separation between HP and OP samples. Among the differentially expressed metabolites, 18 different organic compounds highly expressed in the OP group were annotated; results obtained by this metabolomic approach could be used as a fast and reliable method for the biochemical characterization of OQDS and to develop targeted MS approaches for OQDS detection by foliage analysis. |
| Databáze: | OpenAIRE |
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