1. HPLC-MS/MS method applied to an untargeted metabolomics approach for the diagnosis of 'olive quick decline syndrome'
- Author
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Cinzia Citti, Cosimino Malitesta, Giuseppe Cannazza, Giuseppe E. De Benedetto, Sabrina Di Masi, Giuseppe Ciccarella, Maria Saponari, Di Masi, S., De Benedetto, G. E., Malitesta, C., Saponari, M., Citti, C., Cannazza, G., and Ciccarella, G.
- Subjects
0106 biological sciences ,High-resolution mass spectrometry ,Flavonoid ,Liquid chromatography ,Metabolomic ,Biology ,01 natural sciences ,Biochemistry ,Analytical Chemistry ,03 medical and health sciences ,chemistry.chemical_compound ,Metabolomics ,Olive quick decline syndrome ,Tandem Mass Spectrometry ,Olea ,Chromatography, High Pressure Liquid ,Plant Diseases ,030304 developmental biology ,chemistry.chemical_classification ,0303 health sciences ,Chromatography ,biology.organism_classification ,Olive trees ,Oleic acid ,Untargeted metabolomics ,chemistry ,Hplc ms ms ,High Pressure Liquid ,Xylella fastidiosa ,Metabolic profile ,010606 plant biology & botany ,Research Paper - Abstract
Olive quick decline syndrome (OQDS) is a disorder associated with bacterial infections caused by Xylella fastidiosa subsp. pauca ST53 in olive trees. Metabolic profile changes occurring in infected olive trees are still poorly investigated, but have the potential to unravel reliable biomarkers to be exploited for early diagnosis of infections. In this study, an untargeted metabolomic method using high-performance liquid chromatography coupled to quadrupole-time-of-flight high-resolution mass spectrometry (HPLC-ESI-Q-TOF-MS) was used to detect differences in samples (leaves) from healthy (Ctrl) and infected (Xf) olive trees. Both unsupervised and supervised data analysis clearly differentiated the groups. Different metabolites have been identified as potential specific biomarkers, and their characterization strongly suggests that metabolism of flavonoids and long-chain fatty acids is perturbed in Xf samples. In particular, a decrease in the defence capabilities of the host after Xf infection is proposed because of a significant dysregulation of some metabolites belonging to flavonoid family. Moreover, oleic acid is confirmed as a putative diffusible signal factor (DSF). This study provides new insights into the host-pathogen interactions and confirms LC-HRMS-based metabolomics as a powerful approach for disease-associated biomarkers discovery in plants. Graphical abstract
- Published
- 2021