NMR metabolic fingerprinting based identification of grapevine metabolites associated with downy mildew resistance.

J Agric Food Chem

Division of Pharmacognosy, Section Metabolomics, Institute of Biology, Leiden University, 2333 CC Leiden, The Netherlands.

Published: October 2009

Grapevine (Vitis vinifera ssp. vinifera L.) and grapes have been extensively studied due to their numerous nutritional benefits and health affecting activities. In this study, metabolite fingerprinting of crude leaf extracts, based on (1)H nuclear magnetic resonance (NMR) spectroscopy and multivariate data analyses, has been used for the metabolic characterization of six different grapevine cultivars including downy and powdery mildew resistant 'Regent' and susceptible 'Lemberger' among others. Several two-dimensional (2D)-NMR techniques were also employed leading to the identification of a number of different types of compounds. Principal component analysis (PCA), hierarchical cluster analysis (HCA), and partial least-squares-discriminant analysis (PLS-DA) of the processed (1)H NMR data revealed clear differences among the cultivars. Metabolites responsible for the discrimination in different grapevine cultivars belong to major classes, that is, organic acids, amino acids, carbohydrates, phenylpropanoids and flavonoids. A differentiation of the cultivars based on their resistance to downy mildew infection was also achieved, and metabolites associated with this trait, namely, quercetin-3-O-glucoside and a trans-feruloyl derivative, were identified. On the basis of these results, the distribution of different plant metabolites among the different grapevine cultivars is presented.

Download full-text PDF

Source
http://dx.doi.org/10.1021/jf902069fDOI Listing

Publication Analysis

Top Keywords

grapevine cultivars
12
metabolites associated
8
downy mildew
8
grapevine
5
cultivars
5
nmr metabolic
4
metabolic fingerprinting
4
fingerprinting based
4
based identification
4
identification grapevine
4

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!