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Ruocco S, Perenzoni D, Angeli A, Stefanini M, Rühl E, Patz CD, Mattivi F, Rauhut D, Vrhovsek U. Metabolite profiling of wines made from disease-tolerant varieties. Eur Food Res Technol 2019. [DOI: 10.1007/s00217-019-03314-z] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
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Grape and Wine Metabolomics to Develop New Insights Using Untargeted and Targeted Approaches. FERMENTATION-BASEL 2018. [DOI: 10.3390/fermentation4040092] [Citation(s) in RCA: 45] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Chemical analysis of grape juice and wine has been performed for over 50 years in a targeted manner to determine a limited number of compounds using Gas Chromatography, Mass-Spectrometry (GC-MS) and High Pressure Liquid Chromatography (HPLC). Therefore, it only allowed the determination of metabolites that are present in high concentration, including major sugars, amino acids and some important carboxylic acids. Thus, the roles of many significant but less concentrated metabolites during wine making process are still not known. This is where metabolomics shows its enormous potential, mainly because of its capability in analyzing over 1000 metabolites in a single run due to the recent advancements of high resolution and sensitive analytical instruments. Metabolomics has predominantly been adopted by many wine scientists as a hypothesis-generating tool in an unbiased and non-targeted way to address various issues, including characterization of geographical origin (terroir) and wine yeast metabolic traits, determination of biomarkers for aroma compounds, and the monitoring of growth developments of grape vines and grapes. The aim of this review is to explore the published literature that made use of both targeted and untargeted metabolomics to study grapes and wines and also the fermentation process. In addition, insights are also provided into many other possible avenues where metabolomics shows tremendous potential as a question-driven approach in grape and wine research.
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Hemmler D, Heinzmann SS, Wöhr K, Schmitt-Kopplin P, Witting M. Tandem HILIC-RP liquid chromatography for increased polarity coverage in food analysis. Electrophoresis 2018; 39:1645-1653. [DOI: 10.1002/elps.201800038] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2018] [Revised: 03/09/2018] [Accepted: 03/09/2018] [Indexed: 11/11/2022]
Affiliation(s)
- Daniel Hemmler
- Chair of Analytical Food Chemistry; Technische Universität München; Freising Germany
- Research Unit Analytical BioGeoChemistry (BGC); Helmholtz Zentrum München; Neuherberg Germany
| | - Silke S. Heinzmann
- Research Unit Analytical BioGeoChemistry (BGC); Helmholtz Zentrum München; Neuherberg Germany
| | - Katrin Wöhr
- Research Unit Analytical BioGeoChemistry (BGC); Helmholtz Zentrum München; Neuherberg Germany
| | - Philippe Schmitt-Kopplin
- Chair of Analytical Food Chemistry; Technische Universität München; Freising Germany
- Research Unit Analytical BioGeoChemistry (BGC); Helmholtz Zentrum München; Neuherberg Germany
| | - Michael Witting
- Chair of Analytical Food Chemistry; Technische Universität München; Freising Germany
- Research Unit Analytical BioGeoChemistry (BGC); Helmholtz Zentrum München; Neuherberg Germany
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Fabres PJ, Collins C, Cavagnaro TR, Rodríguez López CM. A Concise Review on Multi-Omics Data Integration for Terroir Analysis in Vitis vinifera. FRONTIERS IN PLANT SCIENCE 2017; 8:1065. [PMID: 28676813 PMCID: PMC5477006 DOI: 10.3389/fpls.2017.01065] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/08/2017] [Accepted: 06/02/2017] [Indexed: 05/19/2023]
Abstract
Vitis vinifera (grapevine) is one of the most important fruit crops, both for fresh consumption and wine and spirit production. The term terroir is frequently used in viticulture and the wine industry to relate wine sensory attributes to its geographic origin. Although, it can be cultivated in a wide range of environments, differences in growing conditions have a significant impact on fruit traits that ultimately affect wine quality. Understanding how fruit quality and yield are controlled at a molecular level in grapevine in response to environmental cues has been a major driver of research. Advances in the area of genomics, epigenomics, transcriptomics, proteomics and metabolomics, have significantly increased our knowledge on the abiotic regulation of yield and quality in many crop species, including V. vinifera. The integrated analysis of multiple 'omics' can give us the opportunity to better understand how plants modulate their response to different environments. However, 'omics' technologies provide a large amount of biological data and its interpretation is not always straightforward, especially when different 'omic' results are combined. Here we examine the current strategies used to integrate multi-omics, and how these have been used in V. vinifera. In addition, we also discuss the importance of including epigenomics data when integrating omics data as epigenetic mechanisms could play a major role as an intermediary between the environment and the genome.
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Affiliation(s)
- Pastor Jullian Fabres
- Environmental Epigenetics and Genetics Group, Plant Research Centre, School of Agriculture, Food and Wine, University of Adelaide, Glen OsmondSA, Australia
| | - Cassandra Collins
- The Waite Research Institute, The School of Agriculture, Food and Wine, The University of Adelaide, Glen OsmondSA, Australia
| | - Timothy R. Cavagnaro
- The Waite Research Institute, The School of Agriculture, Food and Wine, The University of Adelaide, Glen OsmondSA, Australia
| | - Carlos M. Rodríguez López
- Environmental Epigenetics and Genetics Group, Plant Research Centre, School of Agriculture, Food and Wine, University of Adelaide, Glen OsmondSA, Australia
- *Correspondence: Carlos M. Rodríguez López,
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Millán L, Sampedro MC, Sánchez A, Delporte C, Van Antwerpen P, Goicolea MA, Barrio RJ. Liquid chromatography-quadrupole time of flight tandem mass spectrometry-based targeted metabolomic study for varietal discrimination of grapes according to plant sterols content. J Chromatogr A 2016; 1454:67-77. [PMID: 27268521 DOI: 10.1016/j.chroma.2016.05.081] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2016] [Revised: 05/09/2016] [Accepted: 05/24/2016] [Indexed: 01/07/2023]
Abstract
Grapevine and derived products are rich in a wide range of compounds and its quality mainly depends on its metabolites, as a result of viticulture practices. Plant sterols, also called phytosterols (PS), are secondary metabolites regarded as bioactive substance present in grape berries and other plant-based food. The present study deals with a metabolomic approach focusing on phytosterols family in six varieties of Rioja grapes (Cabernet Sauvignon, Tempranillo, Graciano, Garnacha, White Garnacha and Viura), in order to find significant differences among them. Liquid chromatography- mass spectrometry with a quadrupole-time of flight mass analyzer (LC-QTOF) was used to find as many metabolites as possible in the different grape berry fractions, and using statistics to help finding significant clustering of the metabolic profile of pulp, peel and seeds in relation to the variety. The best chromatographic and detection conditions were achieved by gas phase ionization via atmospheric pressure chemical ionization (APCI) in positive mode. Furthermore, analysis with electrospray (ESI) is also needed for phytosterol derivatives confirmation. Putative compounds of interest in the analyzed samples were found by an automated compound extraction algorithm (Molecular Feature Extraction, MFE) and an initial differential expression from the data was created with the aid of commercial software. Once the data were collected, the results were filtered, aligned and normalized, and evaluating applying one-way analysis of variance (ANOVA) with a 95% significance level. For sample class prediction, partial least square-discriminant analysis (PLS-DA) is used as a supervised pattern recognition method and excellent separation among the grape varieties is shown. An overall accuracy of 93.3% (pulp samples), 100.0% (peel) or 96.7% (seeds) in discriminating between grape varieties was achieved when comparing the different fractions. In general, 7 PS derivatives were identified with ID scores higher than 84%.
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Affiliation(s)
- Laura Millán
- Department of Analytical Chemistry, Faculty of Pharmacy, University of the Basque Country UPV/EHU, E-01006 Vitoria-Gasteiz, Spain
| | - M Carmen Sampedro
- Central Service of Analysis of Alava, SGIker, University of the Basque Country, UPV/EHU, E-01006 Vitoria-Gasteiz, Spain
| | - Alicia Sánchez
- Central Service of Analysis of Alava, SGIker, University of the Basque Country, UPV/EHU, E-01006 Vitoria-Gasteiz, Spain
| | - Cédric Delporte
- Laboratory of Pharmaceutical Chemistry & Analytical Platform, Faculty of Pharmacy, Université Libre de Bruxelles (ULB), B-1050 Brussels, Belgium, Belgium
| | - Pierre Van Antwerpen
- Laboratory of Pharmaceutical Chemistry & Analytical Platform, Faculty of Pharmacy, Université Libre de Bruxelles (ULB), B-1050 Brussels, Belgium, Belgium
| | - M Aranzazu Goicolea
- Department of Analytical Chemistry, Faculty of Pharmacy, University of the Basque Country UPV/EHU, E-01006 Vitoria-Gasteiz, Spain
| | - Ramón J Barrio
- Department of Analytical Chemistry, Faculty of Pharmacy, University of the Basque Country UPV/EHU, E-01006 Vitoria-Gasteiz, Spain.
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Roullier-Gall C, Witting M, Gougeon RD, Schmitt-Kopplin P. High precision mass measurements for wine metabolomics. Front Chem 2014; 2:102. [PMID: 25431760 PMCID: PMC4230200 DOI: 10.3389/fchem.2014.00102] [Citation(s) in RCA: 62] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2014] [Accepted: 10/28/2014] [Indexed: 01/05/2023] Open
Abstract
An overview of the critical steps for the non-targeted Ultra-High Performance Liquid Chromatography coupled with Quadrupole Time-of-Flight Mass Spectrometry (UPLC-Q-ToF-MS) analysis of wine chemistry is given, ranging from the study design, data preprocessing and statistical analyses, to markers identification. UPLC-Q-ToF-MS data was enhanced by the alignment of exact mass data from FTICR-MS, and marker peaks were identified using UPLC-Q-ToF-MS(2). In combination with multivariate statistical tools and the annotation of peaks with metabolites from relevant databases, this analytical process provides a fine description of the chemical complexity of wines, as exemplified in the case of red (Pinot noir) and white (Chardonnay) wines from various geographic origins in Burgundy.
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Affiliation(s)
- Chloé Roullier-Gall
- UMR PAM Université de Bourgogne/AgroSup Dijon, Institut Universitaire de la Vigne et du Vin Jules Guyot, Dijon, France ; Research Unit Analytical BioGeoChemistry, Department of Environmental Sciences, Helmholtz Zentrum München Neuherberg, Germany
| | - Michael Witting
- Research Unit Analytical BioGeoChemistry, Department of Environmental Sciences, Helmholtz Zentrum München Neuherberg, Germany
| | - Régis D Gougeon
- UMR PAM Université de Bourgogne/AgroSup Dijon, Institut Universitaire de la Vigne et du Vin Jules Guyot, Dijon, France
| | - Philippe Schmitt-Kopplin
- Research Unit Analytical BioGeoChemistry, Department of Environmental Sciences, Helmholtz Zentrum München Neuherberg, Germany ; Chair of Analytical Food Chemistry, Technische Universität München Freising-Weihenstephan, Germany
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Kinetic Investigation and Anticoagulant Activity of Amide Analogues of Isoform 2 and 3 of Antistasin. Int J Pept Res Ther 2013. [DOI: 10.1007/s10989-013-9381-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
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Roullier-Gall C, Boutegrabet L, Gougeon RD, Schmitt-Kopplin P. A grape and wine chemodiversity comparison of different appellations in Burgundy: vintage vs terroir effects. Food Chem 2013; 152:100-7. [PMID: 24444912 DOI: 10.1016/j.foodchem.2013.11.056] [Citation(s) in RCA: 75] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2013] [Revised: 11/07/2013] [Accepted: 11/11/2013] [Indexed: 01/14/2023]
Abstract
This study aimed at assessing the ability of high resolution Fourier Transform Ion Cyclotron Resonance - Mass Spectrometry (FTICR-MS) to differentiate grapes and corresponding wines from distinct vineyards managed by a same producer, according to complex chemical fingerprints. Grape extracts (at harvest) and corresponding wines from four different vineyards, sampled immediately after the alcoholic fermentation over three successive vintages, were analysed by FTICR-MS. Thousands of metabolites that are specific to a given vintage, or a given class (wine, skin or must) could be revealed, thus emphasising a strong vintage effect. The same wines were reanalyzed after a few years in bottle. Within the frame of this study, FTICR-MS along with multivariate statistical analyses could reveal significant terroir-discriminant families of metabolites from geographically close - though distinct - vineyards, but only after a few years of bottle ageing. It is supposed that the chemical composition of a wine holds memories of various environmental factors that have impacted its metabolic baggage at the moment of its elaboration. For the first time, such preliminary results indicate that non-targeted experiments can reveal such memories through terroir-related metabolic signatures of wines on a regional-scale that can potentially be as small as the countless "climats" of Burgundy.
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Affiliation(s)
- Chloé Roullier-Gall
- Institut Universitaire de la Vigne et du Vin, Jules Guyot, UMR A 02.102 PAM, Université de Bourgogne, Rue Claude Ladrey, BP 27877, 21078 Dijon Cedex, France; Helmholtz Zentrum Muenchen, Research unit Analytical BioGeoChemistry, Ingolstaedter Landstrasse 1, 85764 Neuherberg, Germany
| | - Lemia Boutegrabet
- Institut Universitaire de la Vigne et du Vin, Jules Guyot, UMR A 02.102 PAM, Université de Bourgogne, Rue Claude Ladrey, BP 27877, 21078 Dijon Cedex, France; Helmholtz Zentrum Muenchen, Research unit Analytical BioGeoChemistry, Ingolstaedter Landstrasse 1, 85764 Neuherberg, Germany
| | - Régis D Gougeon
- Institut Universitaire de la Vigne et du Vin, Jules Guyot, UMR A 02.102 PAM, Université de Bourgogne, Rue Claude Ladrey, BP 27877, 21078 Dijon Cedex, France.
| | - Philippe Schmitt-Kopplin
- Helmholtz Zentrum Muenchen, Research unit Analytical BioGeoChemistry, Ingolstaedter Landstrasse 1, 85764 Neuherberg, Germany; Technische Universität Muenchen, Analytical Food Chemistry, Alte Akademie 10, 85354 Freising, Germany.
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Arbulu M, Sampedro MC, Sanchez-Ortega A, Gómez-Caballero A, Unceta N, Goicolea MA, Barrio RJ. Characterisation of the flavour profile from Graciano Vitis vinifera wine variety by a novel dual stir bar sorptive extraction methodology coupled to thermal desorption and gas chromatography–mass spectrometry. Anal Chim Acta 2013; 777:41-8. [DOI: 10.1016/j.aca.2013.03.024] [Citation(s) in RCA: 32] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2012] [Revised: 03/04/2013] [Accepted: 03/10/2013] [Indexed: 11/27/2022]
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