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HPLC-HRMS Global Metabolomics Approach for the Diagnosis of “Olive Quick Decline Syndrome” Markers in Olive Trees Leaves
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 spectrom...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7827768/ https://www.ncbi.nlm.nih.gov/pubmed/33429872 http://dx.doi.org/10.3390/metabo11010040 |
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author | Asteggiano, Alberto Franceschi, Pietro Zorzi, Michael Aigotti, Riccardo Dal Bello, Federica Baldassarre, Francesca Lops, Francesco Carlucci, Antonia Medana, Claudio Ciccarella, Giuseppe |
author_facet | Asteggiano, Alberto Franceschi, Pietro Zorzi, Michael Aigotti, Riccardo Dal Bello, Federica Baldassarre, Francesca Lops, Francesco Carlucci, Antonia Medana, Claudio Ciccarella, Giuseppe |
author_sort | Asteggiano, Alberto |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7827768 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-78277682021-01-25 HPLC-HRMS Global Metabolomics Approach for the Diagnosis of “Olive Quick Decline Syndrome” Markers in Olive Trees Leaves Asteggiano, Alberto Franceschi, Pietro Zorzi, Michael Aigotti, Riccardo Dal Bello, Federica Baldassarre, Francesca Lops, Francesco Carlucci, Antonia Medana, Claudio Ciccarella, Giuseppe Metabolites Article 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. MDPI 2021-01-08 /pmc/articles/PMC7827768/ /pubmed/33429872 http://dx.doi.org/10.3390/metabo11010040 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Asteggiano, Alberto Franceschi, Pietro Zorzi, Michael Aigotti, Riccardo Dal Bello, Federica Baldassarre, Francesca Lops, Francesco Carlucci, Antonia Medana, Claudio Ciccarella, Giuseppe HPLC-HRMS Global Metabolomics Approach for the Diagnosis of “Olive Quick Decline Syndrome” Markers in Olive Trees Leaves |
title | HPLC-HRMS Global Metabolomics Approach for the Diagnosis of “Olive Quick Decline Syndrome” Markers in Olive Trees Leaves |
title_full | HPLC-HRMS Global Metabolomics Approach for the Diagnosis of “Olive Quick Decline Syndrome” Markers in Olive Trees Leaves |
title_fullStr | HPLC-HRMS Global Metabolomics Approach for the Diagnosis of “Olive Quick Decline Syndrome” Markers in Olive Trees Leaves |
title_full_unstemmed | HPLC-HRMS Global Metabolomics Approach for the Diagnosis of “Olive Quick Decline Syndrome” Markers in Olive Trees Leaves |
title_short | HPLC-HRMS Global Metabolomics Approach for the Diagnosis of “Olive Quick Decline Syndrome” Markers in Olive Trees Leaves |
title_sort | hplc-hrms global metabolomics approach for the diagnosis of “olive quick decline syndrome” markers in olive trees leaves |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7827768/ https://www.ncbi.nlm.nih.gov/pubmed/33429872 http://dx.doi.org/10.3390/metabo11010040 |
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