Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/51825

TítuloDifferential phenolic production in leaves of Vitis vinifera cv. Alvarinho affected with esca disease
Autor(es)Lima, Marta R. M.
Felgueiras, Mafalda L.
Cunha, Ana
Chicau, Gisela
Ferreres, Federico
Dias, Alberto Carlos Pires
Palavras-chaveEsca
Flavonoids
Grapevine
High performance liquid chromatography (HPLC)
Hydroxycinnamoyl tartaric acids
Principal components analysis (PCA)
Vitis vinifera
Data2017
EditoraElsevier
RevistaPlant Physiology and Biochemistry
Resumo(s)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.
TipoArtigo
URIhttps://hdl.handle.net/1822/51825
DOI10.1016/j.plaphy.2016.12.020
ISSN0981-9428
Arbitragem científicayes
AcessoAcesso restrito UMinho
Aparece nas coleções:DBio - Artigos/Papers

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