4.7 Article

Differential phenolic production in leaves of Vitis vinifera cv. Alvarinho affected with esca disease

Journal

PLANT PHYSIOLOGY AND BIOCHEMISTRY
Volume 112, Issue -, Pages 45-52

Publisher

ELSEVIER FRANCE-EDITIONS SCIENTIFIQUES MEDICALES ELSEVIER
DOI: 10.1016/j.plaphy.2016.12.020

Keywords

Esca; Flavonoids; Grapevine; High performance liquid chromatography (HPLC); Hydroxycinnamoyl tartaric acids; Principal components analysis (PCA); Vitis vinifera

Categories

Funding

  1. Fundacao para a Ciencia e a Tecnologia [SFRH/BD/17944/2004, SFRH/BD/32159/2006]
  2. Fundação para a Ciência e a Tecnologia [SFRH/BD/32159/2006, SFRH/BD/17944/2004] Funding Source: FCT

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Esca is a destructive disease of complex etiology affecting grapevines worldwide. A major constraint to the study and control of esca is that the disease is not diagnosed until external leaf and/or fruit symptoms are visible; however external symptoms usually appear several years after infection onset. We studied the phenolic content of V. vinifera cv. Alvarinho leaves using high performance liquid chromatography diode array detection-mass spectrometry (HPLC-DAD-MS)/LC-MS. Leaves from affected cordons with and without visible symptoms (diseased and apparently healthy leaves, respectively) and leaves from asymptomatic cordons (healthy leaves) were analyzed. Application of principal components analysis (PCA) to HPLC data showed a clear separation between diseased, apparently healthy, and healthy leaves, with the apparently healthy leaves clustered in a medial position. Several compounds were highly correlated with diseased leaves indicating a differential phenolic production due to esca disease in V vinifera cv. Alvarinho leaves. Total phenolic production was shown to significantly increase in diseased leaves, compared to healthy leaves, with apparently healthy leaves containing a medial amount. Transcaffeoyltartaric acid, trans-coumaroyl-tartaric acid, quercetin-3-O-glucoside, quercetin-3-O-galactoside, kaempferol-3-glucoside and myricetin were identified among the compounds associated with disease and their content shown to change similarly to total phenolic production. This study shows that it is possible to discriminate between diseased, healthy and apparently healthy leaves by applying PCA to HPLC data. (C) 2016 Elsevier Masson SAS. All rights reserved.

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