Literature DB >> 20407774

Molecular relationships between Saccharomyces cerevisiae strains involved in winemaking from Mendoza, Argentina.

Laura Mercado1, Sandra Jubany, Carina Gaggero, Ricardo W Masuelli, Mariana Combina.   

Abstract

Three molecular typing techniques were applied to assess the molecular relationships of Saccharomyces cerevisiae strains isolated from winery equipment, grapes, and spontaneous fermentation in a cellar located in "Zona Alta del Río Mendoza" (Argentina). In addition, commercial Saccharomyces strains widely used in this region were also included. Interdelta PCR typing, mtDNA restriction analysis, and microsatellite (SSR) genotyping were applied. Dendrograms were constructed based on similarity among different patterns of bands. The combination of the three techniques discriminated 34 strains among the 35 isolates. The results of this study show the complex relationships found at molecular level among the isolates that share the same ecological environment, i.e., the winemaking process. With a few exceptions, the yeast isolates were generally clustered in different ways, depending on the typing technique employed. Three clusters were conserved independently of the molecular method applied. These groups of yeasts always clustered together and had high degree of similarity. Furthermore, the dendrograms mostly showed clusters combining strains from winery and fermentation simultaneously. Most of the commercial strains included in this study were clustered separately from the other isolates analyzed, and just a few of them grouped with the strains mainly isolated from spontaneous fermentation. Only one commercial strain was clustered repetitively with a noncommercial strain isolated from spontaneous fermentation in the three dendrograms. On the other hand, this study has demonstrated the importance of selecting an appropriate molecular method according to the main objectives of the research.

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Year:  2010        PMID: 20407774     DOI: 10.1007/s00284-010-9645-y

Source DB:  PubMed          Journal:  Curr Microbiol        ISSN: 0343-8651            Impact factor:   2.188


  27 in total

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3.  Study of the authenticity of commercial wine yeast strains by molecular techniques.

Authors:  M T Fernández-Espinar; V López; D Ramón; E Bartra; A Querol
Journal:  Int J Food Microbiol       Date:  2001-10-22       Impact factor: 5.277

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Authors:  N Rachidi; P Barre; B Blondin
Journal:  Mol Gen Genet       Date:  1999-06

5.  Selection of hypervariable microsatellite loci for the characterization of Saccharomyces cerevisiae strains.

Authors:  Jean-Luc Legras; Olivier Ruh; Didier Merdinoglu; Francis Karst
Journal:  Int J Food Microbiol       Date:  2005-06-25       Impact factor: 5.277

6.  A ten-minute DNA preparation from yeast efficiently releases autonomous plasmids for transformation of Escherichia coli.

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7.  Molecular identification of wine yeasts at species or strain level: a case study with strains from two vine-growing areas of Greece.

Authors:  P V Pramateftaki; P Lanaridis; M A Typas
Journal:  J Appl Microbiol       Date:  2000-08       Impact factor: 3.772

8.  Yeast population dynamics in spontaneous fermentations: comparison between two different wine-producing areas over a period of three years.

Authors:  M J Torija; N Rozès; M Poblet; J M Guillamón; A Mas
Journal:  Antonie Van Leeuwenhoek       Date:  2001-09       Impact factor: 2.271

9.  Optimisation of interdelta analysis for Saccharomyces cerevisiae strain characterisation.

Authors:  Jean-Luc Legras; Francis Karst
Journal:  FEMS Microbiol Lett       Date:  2003-04-25       Impact factor: 2.742

10.  Polymorphisms of Saccharomyces cerevisiae genes involved in wine production.

Authors:  Ileana Vigentini; Daniela Fracassetti; Claudia Picozzi; Roberto Foschino
Journal:  Curr Microbiol       Date:  2008-11-13       Impact factor: 2.188

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  3 in total

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Journal:  World J Microbiol Biotechnol       Date:  2016-06-23       Impact factor: 3.312

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3.  Isolation, identification and characterization of regional indigenous Saccharomyces cerevisiae strains.

Authors:  Hana Šuranská; Dana Vránová; Jiřina Omelková
Journal:  Braz J Microbiol       Date:  2016-01-27       Impact factor: 2.476

  3 in total

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