Literature DB >> 10913870

Direct profiling of the yeast dynamics in wine fermentations.

L Cocolin1, L F Bisson, D A Mills.   

Abstract

We present a method to directly characterize the yeast diversity present in wine fermentations by employing denaturing gradient gel electrophoresis (DGGE) of polymerase chain reaction (PCR)-amplified 26S ribosomal RNA (rRNA) genes. PCR-DGGE of a portion of the 26S rRNA gene was shown to distinguish most yeast genera associated with the production of wine. With this method the microbial dynamics in several model wine fermentations were profiled. PCR-DGGE provided a qualitative assessment of the yeast diversity in these fermentations accurately identifying populations as low as 1000 cells ml(-1). PCR-DGGE represents an attractive alternative to traditional plating schemes for analysis of the microbial successions inherent in the fermentation of wine.

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Year:  2000        PMID: 10913870     DOI: 10.1111/j.1574-6968.2000.tb09210.x

Source DB:  PubMed          Journal:  FEMS Microbiol Lett        ISSN: 0378-1097            Impact factor:   2.742


  67 in total

1.  Denaturing gradient gel electrophoresis analysis of the 16S rRNA gene V1 region to monitor dynamic changes in the bacterial population during fermentation of Italian sausages.

Authors:  L Cocolin; M Manzano; C Cantoni; G Comi
Journal:  Appl Environ Microbiol       Date:  2001-11       Impact factor: 4.792

2.  Design and evaluation of PCR primers for analysis of bacterial populations in wine by denaturing gradient gel electrophoresis.

Authors:  Isabel Lopez; Fernanda Ruiz-Larrea; Luca Cocolin; Erica Orr; Trevor Phister; Megan Marshall; Jean VanderGheynst; David A Mills
Journal:  Appl Environ Microbiol       Date:  2003-11       Impact factor: 4.792

3.  Bacterial community dynamics during production of registered designation of origin Salers cheese as evaluated by 16S rRNA gene single-strand conformation polymorphism analysis.

Authors:  Frédérique Duthoit; Jean-Jacques Godon; Marie-Christine Montel
Journal:  Appl Environ Microbiol       Date:  2003-07       Impact factor: 4.792

4.  Study of the physicochemical parameters and spontaneous fermentation during the traditional production of yakupa, an indigenous beverage produced by Brazilian Amerindians.

Authors:  Ana Luiza Freire; Cintia Lacerda Ramos; Euziclei Gonzaga de Almeida; Whasley Ferreira Duarte; Rosane Freitas Schwan
Journal:  World J Microbiol Biotechnol       Date:  2013-08-31       Impact factor: 3.312

5.  Organic cultivation of Triticum turgidum subsp. durum is reflected in the flour-sourdough fermentation-bread axis.

Authors:  Carlo Giuseppe Rizzello; Ivana Cavoski; Jelena Turk; Danilo Ercolini; Luana Nionelli; Erica Pontonio; Maria De Angelis; Francesca De Filippis; Marco Gobbetti; Raffaella Di Cagno
Journal:  Appl Environ Microbiol       Date:  2015-02-27       Impact factor: 4.792

6.  Biodegradation of high molecular weight PAHs using isolated yeast mixtures: application of meta-genomic methods for community structure analyses.

Authors:  Abd El-Latif Hesham; Sardar Khan; Yu Tao; Dong Li; Yu Zhang; Min Yang
Journal:  Environ Sci Pollut Res Int       Date:  2012-04-26       Impact factor: 4.223

7.  Quantitative community fingerprinting methods for estimating the abundance of operational taxonomic units in natural microbial communities.

Authors:  Alban Ramette
Journal:  Appl Environ Microbiol       Date:  2009-02-06       Impact factor: 4.792

8.  Yeast community structures and dynamics in healthy and Botrytis-affected grape must fermentations.

Authors:  Aspasia A Nisiotou; Apostolos E Spiropoulos; George-John E Nychas
Journal:  Appl Environ Microbiol       Date:  2007-08-31       Impact factor: 4.792

9.  Microbial ecology dynamics during rye and wheat sourdough preparation.

Authors:  Danilo Ercolini; Erica Pontonio; Francesca De Filippis; Fabio Minervini; Antonietta La Storia; Marco Gobbetti; Raffaella Di Cagno
Journal:  Appl Environ Microbiol       Date:  2013-10-04       Impact factor: 4.792

10.  Application of high-resolution melting analysis for differentiation of spoilage yeasts.

Authors:  Mine Erdem; Zülal Kesmen; Esra Özbekar; Bülent Çetin; Hasan Yetim
Journal:  J Microbiol       Date:  2016-08-31       Impact factor: 3.422

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