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

• 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
• ISSN: 2076-3921; 2076-3921
• DOI: 10.3390/antiox12122120

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.