Literature DB >> 21822905

Detection and identification of microorganisms in wine: a review of molecular techniques.

Melissa L Ivey1, Trevor G Phister.   

Abstract

The microbial ecology of wine is complex. Microbes can play both positive and negative roles in the quality of the final product. Due to this impact, the microbial ecology of wine has been well studied. Traditional indirect methods, such as plating, have largely been replaced by a number of molecular methods. These methods are typically either indirect methods used for identification of cultured organisms, or direct methods used to profile whole populations or identify specific microbes in a mixed population. These molecular methods offer a number of advantages over traditional methods including speed and precision. This review will examine both direct and indirect molecular methods, provide examples of their impact on the study of the microbial ecology of wine, and also discuss their strengths and limitations.

Mesh:

Year:  2011        PMID: 21822905     DOI: 10.1007/s10295-011-1020-x

Source DB:  PubMed          Journal:  J Ind Microbiol Biotechnol        ISSN: 1367-5435            Impact factor:   3.346


  95 in total

1.  Lactic acid bacteria evolution during winemaking: use of rpoB gene as a target for PCR-DGGE analysis.

Authors:  Vincent Renouf; Olivier Claisse; Cécile Miot-Sertier; Aline Lonvaud-Funel
Journal:  Food Microbiol       Date:  2006-04       Impact factor: 5.516

2.  Ochratoxin A production and amplified fragment length polymorphism analysis of Aspergillus carbonarius, Aspergillus tubingensis, and Aspergillus niger strains isolated from grapes in Italy.

Authors:  Giancarlo Perrone; Giuseppina Mulè; Antonia Susca; Paola Battilani; Amedeo Pietri; Antonio Logrieco
Journal:  Appl Environ Microbiol       Date:  2006-01       Impact factor: 4.792

3.  Evaluation of PCR-DGGE methodology to monitor fungal communities on grapes.

Authors:  R Laforgue; L Guérin; J J Pernelle; C Monnet; J Dupont; M Bouix
Journal:  J Appl Microbiol       Date:  2009-04-17       Impact factor: 3.772

4.  Genotypic diversity in Oenococcus oeni by high-density microarray comparative genome hybridization and whole genome sequencing.

Authors:  Anthony R Borneman; Eveline J Bartowsky; Jane McCarthy; Paul J Chambers
Journal:  Appl Microbiol Biotechnol       Date:  2010-01-29       Impact factor: 4.813

5.  Use of flow cytometry to monitor cell damage and predict fermentation activity of dried yeasts.

Authors:  P V Attfield; S Kletsas; D A Veal; R van Rooijen; P J Bell
Journal:  J Appl Microbiol       Date:  2000-08       Impact factor: 3.772

6.  Flow cytometric assessment of membrane integrity of ethanol-stressed Oenococcus oeni cells.

Authors:  M Graça da Silveira; M Vitória San Romão; Maria C Loureiro-Dias; Frans M Rombouts; Tjakko Abee
Journal:  Appl Environ Microbiol       Date:  2002-12       Impact factor: 4.792

7.  Yeasts present during wine fermentation: comparative analysis of conventional plating and PCR-TTGE.

Authors:  M Fernández-González; J C Espinosa; J F Ubeda; A I Briones
Journal:  Syst Appl Microbiol       Date:  2001-12       Impact factor: 4.022

8.  Selection of autochthonous Oenococcus oeni strains according to their oenological properties and vinification results.

Authors:  Patricia Ruiz; Pedro Miguel Izquierdo; Susana Seseña; María Llanos Palop
Journal:  Int J Food Microbiol       Date:  2009-12-02       Impact factor: 5.277

9.  Identification and phylogeny of ascomycetous yeasts from analysis of nuclear large subunit (26S) ribosomal DNA partial sequences.

Authors:  C P Kurtzman; C J Robnett
Journal:  Antonie Van Leeuwenhoek       Date:  1998-05       Impact factor: 2.271

10.  Simultaneous detection of the main black aspergilli responsible for ochratoxin A (OTA) contamination in grapes by multiplex real-time polymerase chain reaction.

Authors:  M V Selma; P V Martínez-Culebras; P Elizaquível; R Aznar
Journal:  Food Addit Contam Part A Chem Anal Control Expo Risk Assess       Date:  2009-02
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  7 in total

1.  High‑throughput sequencing of amplicons for monitoring yeast biodiversity in must and during alcoholic fermentation.

Authors:  Vanessa David; Sébastien Terrat; Khaled Herzine; Olivier Claisse; Sandrine Rousseaux; Raphaëlle Tourdot-Maréchal; Isabelle Masneuf-Pomarede; Lionel Ranjard; Hervé Alexandre
Journal:  J Ind Microbiol Biotechnol       Date:  2014-05       Impact factor: 3.346

2.  16S rRNA in situ Hybridization Followed by Flow Cytometry for Rapid Identification of Acetic Acid Bacteria Involved in Submerged Industrial Vinegar Production.

Authors:  Janja Trček; Luka Lipoglavšek; Gorazd Avguštin
Journal:  Food Technol Biotechnol       Date:  2016-03       Impact factor: 3.918

3.  Biogeographical characterization of Saccharomyces cerevisiae wine yeast by molecular methods.

Authors:  Rosanna Tofalo; Giorgia Perpetuini; Maria Schirone; Giuseppe Fasoli; Irene Aguzzi; Aldo Corsetti; Giovanna Suzzi
Journal:  Front Microbiol       Date:  2013-06-24       Impact factor: 5.640

4.  Yeast Monitoring of Wine Mixed or Sequential Fermentations Made by Native Strains from D.O. "Vinos de Madrid" Using Real-Time Quantitative PCR.

Authors:  Margarita García; Braulio Esteve-Zarzoso; Julia Crespo; Juan M Cabellos; Teresa Arroyo
Journal:  Front Microbiol       Date:  2017-12-20       Impact factor: 5.640

Review 5.  Genetic Polymorphism in Wine Yeasts: Mechanisms and Methods for Its Detection.

Authors:  José M Guillamón; Eladio Barrio
Journal:  Front Microbiol       Date:  2017-05-04       Impact factor: 5.640

6.  The establishment of a fungal consortium in a new winery.

Authors:  Hany Abdo; Claudia Rita Catacchio; Mario Ventura; Pietro D'Addabbo; Hervé Alexandre; Michèle Guilloux-Bénatier; Sandrine Rousseaux
Journal:  Sci Rep       Date:  2020-05-14       Impact factor: 4.379

7.  Biodiversity of Lactobacillus plantarum from traditional Italian wines.

Authors:  Bruno Testa; Silvia Jane Lombardi; Patrizio Tremonte; Mariantonietta Succi; Luca Tipaldi; Gianfranco Pannella; Elena Sorrentino; Massimo Iorizzo; Raffaele Coppola
Journal:  World J Microbiol Biotechnol       Date:  2014-05-10       Impact factor: 3.312

  7 in total

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