Characterization of the Metabolic Profile of Olive Tissues (Roots, Stems and Leaves): Relationship with Cultivars' Resistance/Susceptibility to the Soil Fungus Verticillium dahliae

Verticillium wilt of olive (VWO) is one of the most widespread and devastating olive diseases in the world. Harnessing host resistance to the causative agent is considered one of the most important measures within an integrated control strategy of the disease. Aiming to understand the mechanisms und...

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Bibliographic Details
Published in:Antioxidants 2023-12, Vol.12 (12), p.2120
Main Authors: Serrano-García, Irene, Olmo-García, Lucía, Monago-Maraña, Olga, de Alba, Iván Muñoz Cabello, León, Lorenzo, de la Rosa, Raúl, Serrano, Alicia, Gómez-Caravaca, Ana María, Carrasco-Pancorbo, Alegría
Format: Article
Language:English
Subjects:
Cultivars
Ethanol
Fungi
Germplasm
Infections
Integrated control
LC-MS profiling
Leaves
Liquid chromatography
Mass spectroscopy
Metabolism
Metabolites
Multivariate analysis
Olea europaea L
phenolic compounds
plant metabolomics
Principal components analysis
secondary metabolites
Soil microorganisms
Susceptibility
Ultrasonic imaging
Verticillium wilt
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Summary:Verticillium wilt of olive (VWO) is one of the most widespread and devastating olive diseases in the world. Harnessing host resistance to the causative agent is considered one of the most important measures within an integrated control strategy of the disease. Aiming to understand the mechanisms underlying olive resistance to VWO, the metabolic profiles of olive leaves, stems and roots from 10 different cultivars with varying levels of susceptibility to this disease were investigated by liquid chromatography coupled to mass spectrometry (LC-MS). The distribution of 56 metabolites among the three olive tissues was quantitatively assessed and the possible relationship between the tissues' metabolic profiles and resistance to VWO was evaluated by applying unsupervised and supervised multivariate analysis. Principal component analysis (PCA) was used to explore the data, and separate clustering of highly resistant and extremely susceptible cultivars was observed. Moreover, partial least squares discriminant analysis (PLS-DA) models were built to differentiate samples of highly resistant, intermediate susceptible/resistant, and extremely susceptible cultivars. Root models showed the lowest classification capability, but metabolites from leaf and stem were able to satisfactorily discriminate samples according to the level of susceptibility. Some typical compositional patterns of highly resistant and extremely susceptible cultivars were described, and some potential resistance/susceptibility metabolic markers were pointed out.
ISSN:2076-3921
2076-3921
DOI:10.3390/antiox12122120