Evidence map›Paper›PMID 27302757›Full record

ArticlemBio2016

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

Nicholas A Bokulich, Thomas S Collins, Chad Masarweh, Greg Allen, Hildegarde Heymann, Susan E Ebeler, David A Mills

Abstract read
In one paragraph

Article in mBio, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 187 papers.

0numbers the graph read from it
0cells of the map it votes in
187citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

187 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Profiling Potential Wine Yeast Starters fromJournal of fungi (Basel, Switzerland) · 2026
    Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Microbial ecology of fermented foods.FEMS yeast research · 2026
    Review
  17. Review
  18. Article
  19. Article
  20. Article

127 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Nicholas A BokulichDepartment of Food Science and Technology, University of California, Davis, California, USA Department of Viticulture and Enology, University of California, Davis, California, USA Foods for Health Institute, University of California, Davis, California, USA.
Thomas S CollinsDepartment of Viticulture and Enology, University of California, Davis, California, USA Food Safety and Measurement Facility, University of California, Davis, California, USA.
Chad MasarwehDepartment of Food Science and Technology, University of California, Davis, California, USA.
Greg AllenFar Niente and Nickel & Nickel Wineries, Oakville, California, USA.
Hildegarde HeymannDepartment of Viticulture and Enology, University of California, Davis, California, USA.
Susan E EbelerDepartment of Viticulture and Enology, University of California, Davis, California, USA Food Safety and Measurement Facility, University of California, Davis, California, USA.
David A MillsDepartment of Food Science and Technology, University of California, Davis, California, USA Department of Viticulture and Enology, University of California, Davis, California, USA Foods for Health Institute, University of California, Davis, California, USA damills@ucdavis.edu.

Funding

Training Program in Biomolecular TechnologyT32GM008799 · NIGMS · UNIVERSITY OF CALIFORNIA DAVIS · PI LEACH, J. KENT · 2002 to 2016
$2.4M
NIGMS NIH HHS T32 GM008799
6 · The paper itself

Abstract

unlabelledRegionally 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.

Indexed as

MetabolomeMicrobiotaBacteriaCaliforniaFermentationFungiLongitudinal StudiesVitisWine

Identifiers

PMID27302757
PMCPMC4959672

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.