AUTHOR=Scala Valeria , Salustri Manuel , Loreti Stefania , Pucci Nicoletta , Cacciotti Andrea , Tatulli Giuseppe , Scortichini Marco , Reverberi Massimo 

TITLE=Mass Spectrometry-Based Targeted Lipidomics and Supervised Machine Learning Algorithms in Detecting Disease, Cultivar, and Treatment Biomarkers in Xylella fastidiosa subsp. pauca-Infected Olive Trees

JOURNAL=Frontiers in Plant Science

VOLUME=Volume 13 - 2022

YEAR=2022

URL=https://www.frontiersin.org/journals/plant-science/articles/10.3389/fpls.2022.833245

DOI=10.3389/fpls.2022.833245

ISSN=1664-462X

ABSTRACT=In 2013 Xylella fastidiosa was detected for the first time in Apulia and, subsequently, recognized as the causal agent of the olive quick decline syndrome (OQDS). To contain the disease, the olive germplasm was evaluated for resistance to Xf, identifying cultivars with a different susceptibility to the pathogen. Regarding this, the resistant cultivar Leccino has generally a lower bacterial titer compared with the susceptible cultivar Ogliarola salentina. Among biomolecules, lipids could have a pivotal role in the interaction of X. fastidiosa with its host. In the grapevine Pierce’s Disease, fatty acid molecules - the Diffusible Signaling Factors (DSF) - act as regulators of X. fastidiosa lifestyle and are crucial for its virulence. Other lipid compounds derived from fatty acid oxidation, namely oxylipins, can affect - in vitro - biofilm formation in X. fastidiosa subsp. pauca strain De Donno, i.e., the strain causing OQDS. In this study, we combined HPLC-MS-based targeted lipidomics with supervised learning algorithms (Random Forest, Support Vector Machine and Neural Networks) to classify olive tree samples from Salento. The dataset included samples from either OQDS positive or OQDS negative olive trees belonging either to cultivar Ogliarola salentina or Leccino treated or not with the zinc-copper-citric acid biocomplex Dentamet®. We build classifiers using the relative differences in lipid species able to discriminate olive tree samples: i) infected and non-infected; ii) belonging to different cultivars; iii) treated or untreated with Dentamet®. Lipid entities emerging as predictors of the thesis are: free fatty acids (C16:1, C18:1, C18:2, C18:3); the LOX-derived oxylipins 9- and 13-HPOD/TrE; the DOX-derived oxylipin 10-HPOME; diacylglyceride DAG36:4(18:1/18:3).