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The Fitness Advantage of Commercial Wine Yeasts in Relation to the Nitrogen Concentration, Temperature, and Ethanol Content under Microvinification Conditions

AutorGarcía Ríos, Estéfani ; Gutiérrez Linares, Alicia ; Salvadó, Zoel ; Arroyo López, Francisco Noé ; Guillamón, José Manuel
Palabras claveWine
Environmental factors
Industrial strains
Fecha de publicación2014
EditorAmerican Society for Microbiology
CitaciónApplied and Environmental Microbiology 80: 704- 713 (2014)
ResumenThe effect of the main environmental factors governing wine fermentation on the fitness of industrial yeast strains has barely received attention. In this study, we used the concept of fitness advantage to measure how increasing nitrogen concentrations (0 to 200 mg N/liter), ethanol (0 to 20%), and temperature (4 to 45°C) affects competition among four commercial wine yeast strains (PDM, ARM, RVA, and TTA). We used a mathematical approach to model the hypothetical time needed for the control strain (PDM) to out-compete the other three strains in a theoretical mixed population. The theoretical values obtained were subsequently verified by competitive mixed fermentations in both synthetic and natural musts, which showed a good fit between the theoretical and experimental data. Specifically, the data show that the increase in nitrogen concentration and temperature values improved the fitness advantage of the PDM strain, whereas the presence of ethanol significantly reduced its competitiveness. However, the RVA strain proved to be the most competitive yeast for the three enological parameters assayed. The study of the fitness of these industrial strains is of paramount interest for the wine industry, which uses them as starters of their fermentations. Here, we propose a very simple method to model the fitness advantage, which allows the prediction of the competitiveness of one strain with respect to different abiotic factors. © 2014, american Society for Microbiology. All Rights Reserved.
Identificadoresdoi: 10.1128/AEM.03405-13
issn: 0099-2240
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