Ignacio Belda, Belen Benitez-Dominguez, Sergio Izquierdo-Gea, Jean C. C. Vila, Javier Ruiz
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Ecology and Evolutionary Biology as Frameworks to Study Wine Fermentations
Winemaking has leveraged microbiology to enhance wine quality, typically by engineering and inoculating individual yeast strains with desirable traits. However, yeast strains do not grow alone during wine fermentation, rather they are embedded in diverse and evolving microbial communities exhibiting complex ecological dynamics. Understanding and predicting the interplay between the yeast community over the course of the species succession and the chemical matrix of wine can benefit from recognising that wine, like all microbial ecosystems, is subject to general ecological and evolutionary rules. In this piece, we outline how conceptual and methodological frameworks from community ecology and evolutionary biology can assist wine yeast researchers in improving wine fermentation processes by understanding the mechanisms governing population dynamics, predicting and engineering these important microcosms, and unlocking the genetic potential for wine strain development.
期刊介绍:
Microbial Biotechnology publishes papers of original research reporting significant advances in any aspect of microbial applications, including, but not limited to biotechnologies related to: Green chemistry; Primary metabolites; Food, beverages and supplements; Secondary metabolites and natural products; Pharmaceuticals; Diagnostics; Agriculture; Bioenergy; Biomining, including oil recovery and processing; Bioremediation; Biopolymers, biomaterials; Bionanotechnology; Biosurfactants and bioemulsifiers; Compatible solutes and bioprotectants; Biosensors, monitoring systems, quantitative microbial risk assessment; Technology development; Protein engineering; Functional genomics; Metabolic engineering; Metabolic design; Systems analysis, modelling; Process engineering; Biologically-based analytical methods; Microbially-based strategies in public health; Microbially-based strategies to influence global processes