Proton Nuclear Magnetic Resonance-Spectroscopic Discrimination of Wines Reflects Genetic Homology of Several Different Grape (V. vinifera L.) Cultivars

PLoS One. 2015 Dec 11;10(12):e0142840. doi: 10.1371/journal.pone.0142840. eCollection 2015.

Abstract

Background and aims: Proton nuclear magnetic resonance spectroscopy coupled multivariate analysis (1H NMR-PCA/PLS-DA) is an important tool for the discrimination of wine products. Although 1H NMR has been shown to discriminate wines of different cultivars, a grape genetic component of the discrimination has been inferred only from discrimination of cultivars of undefined genetic homology and in the presence of many confounding environmental factors. We aimed to confirm the influence of grape genotypes in the absence of those factors.

Methods and results: We applied 1H NMR-PCA/PLS-DA and hierarchical cluster analysis (HCA) to wines from five, variously genetically-related grapevine (V. vinifera) cultivars; all grown similarly on the same site and vinified similarly. We also compared the semi-quantitative profiles of the discriminant metabolites of each cultivar with previously reported chemical analyses. The cultivars were clearly distinguishable and there was a general correlation between their grouping and their genetic homology as revealed by recent genomic studies. Between cultivars, the relative amounts of several of the cultivar-related discriminant metabolites conformed closely with reported chemical analyses.

Conclusions: Differences in grape-derived metabolites associated with genetic differences alone are a major source of 1H NMR-based discrimination of wines and 1H NMR has the capacity to discriminate between very closely related cultivars.

Significance of the study: The study confirms that genetic variation among grape cultivars alone can account for the discrimination of wine by 1H NMR-PCA/PLS and indicates that 1H NMR spectra of wine of single grape cultivars may in future be used in tandem with hierarchical cluster analysis to elucidate genetic lineages and metabolomic relations of grapevine cultivars. In the absence of genetic information, for example, where predecessor varieties are no longer extant, this may be a particularly useful approach.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Cluster Analysis
  • Genotype
  • Metabolome*
  • Multivariate Analysis
  • Phylogeny*
  • Principal Component Analysis
  • Proton Magnetic Resonance Spectroscopy / methods*
  • Vitis / chemistry
  • Vitis / classification
  • Vitis / genetics*
  • Wine / analysis*
  • Wine / classification

Grants and funding

The research was supported by the National Natural Science Foundation of China 465 (Project No. 31271857. The authors gratefully acknowledge the support of Ch teau Sun God, 466 Great Wall Wines, COFCO Group, P.R.China. The founding is supported by National Natural Science Foundation of China. Boran Hu received the funding. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.