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Detalle de: RNAseq-based transcriptome comparison of Saccharomyces cerevisiae strains isolated from diverse fermentative environments

Title RNAseq-based transcriptome comparison of Saccharomyces cerevisiae strains isolated from diverse fermentative environments
Abstract

Transcriptome analyses play a central role in unraveling the complexity of gene expression regulation in Saccharomyces cerevisiae. This species, one of the most important microorganisms for humans given its industrial applications, shows an astonishing degree of genetic and phenotypic variability among different strains adapted to specific environments. In order to gain novel insights into the Saccharomyces cerevisiae biology of strains adapted to different fermentative environments, we analyzed the whole transcriptome of three strains isolated from wine, flor wine or mezcal fermentations. An RNA-seq transcriptome comparison of the different yeasts in the samples obtained during synthetic must fermentation highlighted the differences observed in the genes that encode mannoproteins, and in those involved in aroma, sugar transport, glycerol and alcohol metabolism, which are important under alcoholic fermentation conditions. These differences were also observed in the physiology of the strains after mannoprotein and aroma determinations. This study offers an essential foundation for understanding how gene expression variations contribute to the fermentation differences of the strains adapted to unequal fermentative environments. Such knowledge is crucial to make improvements in fermentation processes and to define targets for the genetic improvement or selection of wine yeasts.

Apa Reference Ibáñez, C., Pérez-Torrado, R., Morard, M., Toft, C., Barrio, E., & Querol, A. (2017). RNAseq-based transcriptome comparison of Saccharomyces cerevisiae strains isolated from diverse fermentative environments. International Journal of Food Microbiology, 257, 262–270. 10.1016/j.ijfoodmicro.2017.07.001
Doi 10.1016/j.ijfoodmicro.2017.07.001
Publication Date Sep 2017
Publication Type Article
Researcher Christina Toft
Ontology Transcriptomics, RNA Sequencing (RNA-seq), Model organisms, Expression Profiling
Research Groups Panomics and Evolutionary Systems Microbiology (I2SYSBIO)
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