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American Journal of Enology and Viticulture
Article . 2011 . Peer-reviewed
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Profiling the Yeast Communities of Wine Fermentations Using Terminal Restriction Fragment Length Polymorphism Analysis

Authors: Nicholas A. Bokulich; Chin-Feng Hwang; Shuwen Liu; Kyria L. Boundy-Mills; David A. Mills;

Profiling the Yeast Communities of Wine Fermentations Using Terminal Restriction Fragment Length Polymorphism Analysis

Abstract

Terminal restriction fragment length polymorphism (TRFLP), used most often to describe bacterial communities, presents a high-throughput, low-cost solution for analyzing mixed yeast communities in wine and other fermentations. In this study, a TRFLP approach was developed for the identification and discrimination of yeasts and used to construct a TRFLP database comprising 121 strains of yeast (representing 24 genera and 72 species) associated with wine and food fermentations. This database exhibits sensitive discrimination among species and robust intraspecific conservation of TRFLP profiles, enabling reliable characterization of mixed yeast communities. The yeast ecology of sweet, botrytized wine fermentations from two separate vintages was analyzed using this database, demonstrating the utility of this method for fast-paced, qualitative detection and identification of differences in yeast community structures over time in a complex, diverse fermentation system.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
23
Top 10%
Top 10%
Top 10%
bronze