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Billet K, Houillé B, Dugé de Bernonville T, Besseau S, Oudin A, Courdavault V, Delanoue G, Guérin L, Clastre M, Giglioli-Guivarc'h N, Lanoue A. Field-Based Metabolomics of Vitis vinifera L. Stems Provides New Insights for Genotype Discrimination and Polyphenol Metabolism Structuring. FRONTIERS IN PLANT SCIENCE 2018; 9:798. [PMID: 29977248 PMCID: PMC6021511 DOI: 10.3389/fpls.2018.00798] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/22/2018] [Accepted: 05/24/2018] [Indexed: 05/21/2023]
Abstract
Grape accumulates numerous polyphenols with abundant health benefit and organoleptic properties that in planta act as key components of the plant defense system against diseases. Considerable advances have been made in the chemical characterization of wine metabolites particularly volatile and polyphenolic compounds. However, the metabotyping (metabolite-phenotype characterization) of grape varieties, from polyphenolic-rich vineyard by-product is unprecedented. As this composition might result from the complex interaction between genotype, environment and viticultural practices, a field experiment was setting up with uniform pedo-climatic factors and viticultural practices of growing vines to favor the genetic determinism of polyphenol expression. As a result, UPLC-MS-based targeted metabolomic analyses of grape stems from 8 Vitis vinifera L. cultivars allowed the determination of 42 polyphenols related to phenolic acids, flavonoids, procyanidins, and stilbenoids as resveratrol oligomers (degree of oligomerization 1-4). Using a partial least-square discriminant analysis approach, grape stem chemical profiles were discriminated according to their genotypic origin showing that polyphenol profile express a varietal signature. Furthermore, hierarchical clustering highlights various degree of polyphenol similarity between grape varieties that were in agreement with the genetic distance using clustering analyses of 22 microsatellite DNA markers. Metabolite correlation network suggested that several polyphenol subclasses were differently controlled. The present polyphenol metabotyping approach coupled to multivariate statistical analyses might assist grape selection programs to improve metabolites with both health-benefit potential and plant defense traits.
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Affiliation(s)
- Kévin Billet
- EA 2106 Biomolécules et Biotechnologie Végétales, Université de Tours, Faculté des Sciences Pharmaceutiques, Tours, France
| | - Benjamin Houillé
- EA 2106 Biomolécules et Biotechnologie Végétales, Université de Tours, Faculté des Sciences Pharmaceutiques, Tours, France
| | - Thomas Dugé de Bernonville
- EA 2106 Biomolécules et Biotechnologie Végétales, Université de Tours, Faculté des Sciences Pharmaceutiques, Tours, France
| | - Sébastien Besseau
- EA 2106 Biomolécules et Biotechnologie Végétales, Université de Tours, Faculté des Sciences Pharmaceutiques, Tours, France
| | - Audrey Oudin
- EA 2106 Biomolécules et Biotechnologie Végétales, Université de Tours, Faculté des Sciences Pharmaceutiques, Tours, France
| | - Vincent Courdavault
- EA 2106 Biomolécules et Biotechnologie Végétales, Université de Tours, Faculté des Sciences Pharmaceutiques, Tours, France
| | | | | | - Marc Clastre
- EA 2106 Biomolécules et Biotechnologie Végétales, Université de Tours, Faculté des Sciences Pharmaceutiques, Tours, France
| | - Nathalie Giglioli-Guivarc'h
- EA 2106 Biomolécules et Biotechnologie Végétales, Université de Tours, Faculté des Sciences Pharmaceutiques, Tours, France
| | - Arnaud Lanoue
- EA 2106 Biomolécules et Biotechnologie Végétales, Université de Tours, Faculté des Sciences Pharmaceutiques, Tours, France
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Seo SH, Park SE, Yoo SA, Lee KI, Na CS, Son HS. Metabolite profiling of Makgeolli for the understanding of yeast fermentation characteristics during fermentation and aging. Process Biochem 2016. [DOI: 10.1016/j.procbio.2016.08.005] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
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Cozzolino D. Metabolomics in Grape and Wine: Definition, Current Status and Future Prospects. FOOD ANAL METHOD 2016. [DOI: 10.1007/s12161-016-0502-x] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
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Cuadros-Inostroza A, Ruíz-Lara S, González E, Eckardt A, Willmitzer L, Peña-Cortés H. GC-MS metabolic profiling of Cabernet Sauvignon and Merlot cultivars during grapevine berry development and network analysis reveals a stage- and cultivar-dependent connectivity of primary metabolites. Metabolomics 2016; 12:39. [PMID: 26848290 PMCID: PMC4723623 DOI: 10.1007/s11306-015-0927-z] [Citation(s) in RCA: 40] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/24/2015] [Accepted: 10/10/2015] [Indexed: 11/06/2022]
Abstract
Information about the total chemical composition of primary metabolites during grape berry development is scarce, as are comparative studies trying to understand to what extent metabolite modifications differ between cultivars during ripening. Thus, correlating the metabolic profiles with the changes occurring in berry development and ripening processes is essential to progress in their comprehension as well in the development of new approaches to improve fruit attributes. Here, the developmental metabolic profiling analysis across six stages from flowering to fully mature berries of two cultivars, Cabernet Sauvignon and Merlot, is reported at metabolite level. Based on a gas chromatography-mass spectrometry untargeted approach, 115 metabolites were identified and relative quantified in both cultivars. Sugars and amino acids levels show an opposite behaviour in both cultivars undergoing a highly coordinated shift of metabolite associated to primary metabolism during the stages involved in growth, development and ripening of berries. The changes are characteristic for each stage, the most pronounced ones occuring at fruit setting and pre-Veraison. They are associated to a reduction of the levels of metabolites present in the earlier corresponding stage, revealing a required catabolic activity of primary metabolites for grape berry developmental process. Network analysis revealed that the network connectivity of primary metabolites is stage- and cultivar-dependent, suggesting differences in metabolism regulation between both cultivars as the maturity process progresses. Furthermore, network analysis may represent an appropriate method to display the association between primary metabolites during berry developmental processes among different grapevine cultivars and for identifying potential biologically relevant metabolites.
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Affiliation(s)
- Alvaro Cuadros-Inostroza
- Max-Planck Institute for Plant Molecular Physiology, Am Mühlenberg 1, 14476 Potsdam-Golm, Germany
- MetasysX, Am Mühlenberg 11, 14476 Potsdam-Golm, Germany
| | - Simón Ruíz-Lara
- Instituto de Ciencias Biológicas, Universidad de Talca, 2 Norte 685, Talca, Chile
| | - Enrique González
- Instituto de Ciencias Biológicas, Universidad de Talca, 2 Norte 685, Talca, Chile
| | - Aenne Eckardt
- Max-Planck Institute for Plant Molecular Physiology, Am Mühlenberg 1, 14476 Potsdam-Golm, Germany
| | - Lothar Willmitzer
- Max-Planck Institute for Plant Molecular Physiology, Am Mühlenberg 1, 14476 Potsdam-Golm, Germany
| | - Hugo Peña-Cortés
- Max-Planck Institute for Plant Molecular Physiology, Am Mühlenberg 1, 14476 Potsdam-Golm, Germany
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