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Cited by 999

The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.

Microbial biogeography of wine grapes is conditioned by cultivar, vintage, and climate

Open access
Bokulich, Nicholas A., Thorngate, John H., Richardson, Paul M., Mills, David A.·2014·Proceedings of the National Academy of Sciences

Abstract

Significance: We demonstrate that grape-associated microbial biogeography is nonrandomly associated with regional, varietal, and climatic factors across multiscale viticultural zones. This poses a paradigm shift in our understanding of food and agricultural systems beyond grape and wine production, wherein patterning of whole microbial communities associated with agricultural products may associate with downstream quality characteristics. Elucidating the relationship between production region, climate, and microbial patterns may enhance biological control within these systems, improving the supply, consumer acceptance, and economic value of important agricultural commodities.

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Registry

Crossref · 10.1073/pnas.1317377110

Cites

9 of 9 references verified0 citation errors · 0 not checkable

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Metadata

Authors
Bokulich, N. A., Thorngate, J. H., Richardson, P. M., & Mills, D. A.
Venue
Proceedings of the National Academy of Sciences
Published
2013-11-25
Volume
111
Issue
1
Pages
E139-48
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2143725531
Cited by
999
References
9
FWCI
54.98
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Microbial biogeography of wine grapes is conditioned by cultivar, vintage, and climate. https://app.cochat.ai/papers/10.1073/pnas.1317377110
The paper
Bokulich, N. A., Thorngate, J. H., Richardson, P. M., & Mills, D. A. (2014). Microbial biogeography of wine grapes is conditioned by cultivar, vintage, and climate. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1317377110

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.