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Associations Among Wine Grape Microbiome, Metabolome, and Fermentation Behavior Suggest Microbial Contribution to Regional Wine Characteristics

Overview
Journal mBio
Specialty Microbiology
Date 2016 Jun 16
PMID 27302757
Citations 142
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Abstract

Unlabelled: Regionally distinct wine characteristics (terroir) are an important aspect of wine production and consumer appreciation. Microbial activity is an integral part of wine production, and grape and wine microbiota present regionally defined patterns associated with vineyard and climatic conditions, but the degree to which these microbial patterns associate with the chemical composition of wine is unclear. Through a longitudinal survey of over 200 commercial wine fermentations, we demonstrate that both grape microbiota and wine metabolite profiles distinguish viticultural area designations and individual vineyards within Napa and Sonoma Counties, California. Associations among wine microbiota and fermentation characteristics suggest new links between microbiota, fermentation performance, and wine properties. The bacterial and fungal consortia of wine fermentations, composed from vineyard and winery sources, correlate with the chemical composition of the finished wines and predict metabolite abundances in finished wines using machine learning models. The use of postharvest microbiota as an early predictor of wine chemical composition is unprecedented and potentially poses a new paradigm for quality control of agricultural products. These findings add further evidence that microbial activity is associated with wine terroir

Importance: Wine production is a multi-billion-dollar global industry for which microbial control and wine chemical composition are crucial aspects of quality. Terroir is an important feature of consumer appreciation and wine culture, but the many factors that contribute to terroir are nebulous. We show that grape and wine microbiota exhibit regional patterns that correlate with wine chemical composition, suggesting that the grape microbiome may influence terroir In addition to enriching our understanding of how growing region and wine properties interact, this may provide further economic incentive for agricultural and enological practices that maintain regional microbial biodiversity.

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References
1.
Knight S, Klaere S, Fedrizzi B, Goddard M . Regional microbial signatures positively correlate with differential wine phenotypes: evidence for a microbial aspect to terroir. Sci Rep. 2015; 5:14233. PMC: 4585847. DOI: 10.1038/srep14233. View

2.
DeSantis T, Hugenholtz P, Larsen N, Rojas M, Brodie E, Keller K . Greengenes, a chimera-checked 16S rRNA gene database and workbench compatible with ARB. Appl Environ Microbiol. 2006; 72(7):5069-72. PMC: 1489311. DOI: 10.1128/AEM.03006-05. View

3.
Price M, Dehal P, Arkin A . FastTree 2--approximately maximum-likelihood trees for large alignments. PLoS One. 2010; 5(3):e9490. PMC: 2835736. DOI: 10.1371/journal.pone.0009490. View

4.
Pereira G, Gaudillere J, van Leeuwen C, Hilbert G, Lavialle O, Maucourt M . 1H NMR and chemometrics to characterize mature grape berries in four wine-growing areas in Bordeaux, France. J Agric Food Chem. 2005; 53(16):6382-9. DOI: 10.1021/jf058058q. View

5.
Rodriguez H, Curiel J, Landete J, de Las Rivas B, Lopez de Felipe F, Gomez-Cordoves C . Food phenolics and lactic acid bacteria. Int J Food Microbiol. 2009; 132(2-3):79-90. DOI: 10.1016/j.ijfoodmicro.2009.03.025. View