The dataset presented in this paper comprises the masses of 208 lipid species and other compounds of lipid metabolism, and their levels in leaves of vines with brown wood streaking and grapevine leaf stripe, two symptomatic expressions of Esca complex disease (ESCA). Healthy, asymptomatic and symptomatic leaves were collected from the cultivar Malvasia Fina grown in a vineyard. The lipidome of these leaves was characterized using a platform consisting of an Ultrahigh Performance Liquid Chromatography and a Gas chromatography equipment coupled to a Q-Exactive Hybrid Quadrupole-Orbitrap high resolution/accurate Mass Spectrometer interfaced with a heated electrospray ionization source. The analysis permitted the detection of 158 molecular species of known identity and 50 species of unknown structural identity. The area counts of these molecular species is reported in the dataset, along with fold changes (log2-ratio), P-values (Welch's two-sample t-test), and q-values (false discovery rate) from all pairwise comparisons among experimental groups. These statistical data are intended to serve as means of identification for lipid species whose levels were altered by the disease, and which could be used as biomarkers of symptom emergence and disease progression. Because of few studies on the subject, the association between modulation of lipid biosynthetic pathways and disease progression in grapevine has remained poorly understood. The analysis of the data described here has already provided new perspectives regarding the pathogenesis of ESCA leaf symptom formation. Reanalysis of these data would undoubtedly unravel some physiological roles played by lipids in the adaptation of vine plants to stressful conditions.
Keywords: Brown wood streaking; ESCA; Grapevine leaf stripe disease; Lipid maps classes; Lipidomics; Metabolomics; Symptoms; White rot.
© 2020 The Author(s).