Characterization of the Metabolic Profile of Olive Tissues (Roots, Stems and Leaves): Relationship with Cultivars’ Resistance/Susceptibility to the Soil Fungus Verticillium dahliae
Metadatos
Mostrar el registro completo del ítemAutor
Serrano García, Irene; Olmo García, Lucía; Monago Maraña, Olga; Muñoz Cabello de Alba, Iván; León, Lorenzo; de la Rosa, Raúl; Serrano, Alicia; Gómez Caravaca, Ana María; Carrasco Pancorbo, AlegríaEditorial
MDPI
Materia
Olea europaea L. Verticillium wilt Plant metabolomics
Fecha
2023-12-15Referencia bibliográfica
Serrano-García, I.; Olmo-García, L.; Monago-Maraña, O.; de Alba, I.M.C.; León, L.; de la Rosa, R.; Serrano, A.; Gómez- Caravaca, A.M.; Carrasco-Pancorbo, A. Characterization of the Metabolic Profile of Olive Tissues (Roots, Stems and Leaves): Relationship with Cultivars’ Resistance/Susceptibility to the Soil Fungus Verticillium dahliae. Antioxidants 2023, 12, 2120. https://doi.org/10.3390/antiox12122120
Patrocinador
FEDER/Junta de Andalucía-Consejería de Transformación Económica, Industria, Conocimiento y Universidades (Proyecto P20_00263); FEDER/Junta de Andalucía-Consejería de Economía y Conocimiento (Proyecto B-AGR-416-UGR18); Grant RYC2021-032996-I funded by MCIN/AEI/10.13039/501100011033 and by “European Union NextGenerationEU/PRTR” (L.O.-G.); Grant FPU19/00700 from the Spanish Ministerio de Ciencia, Innovación y Universidades (I.S.-G.)Resumen
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.





