Project description:Our study involves a transcriptomic approach to the analysis of industrial yeast metabolism. Historically, among the hundreds of yeast species, Saccharomyces cerevisiae has played an important role in scientific investigations and industrial applications, and it is universally acknowledged as one of the model systems for eukaryotic organisms. Yeast is also an important component of the wine fermentation process and determines various attributes of the final product. Our research takes a holistic approach to the improvement of industrial yeast strains by integrating large data sets from various yeast strains during fermentation. This means that analysis can be done in such a way as to co-evaluate several parameters simultaneously to identify points of interest and target genes for metabolic engineering. Eventually we hope to construct an accurate information matrix and a more complete cellular map for the fermenting yeast. This will enable accurate model-building for industrial yeast and facilitated the design of intelligent yeast improvement strategies which can be applied via traditional avenues of molecular biology.
Project description:Furfural, phenol and acetic acid, generated during cellulosic material pretreatment, are the representative inhibitors to yeast used for ethanol production. The responses to these inhibitors in industrial yeast and the corresponding adapted strains were analyzed. Experiment Overall Design: We analyzed the transient response to inhibitors and the different transcriptions in industrial yeast and furfural-, phenol-, and acetic acid-adapted strains. Industrial yeast and the adapted strains were collected at 20 minutes after inhibitor addition. The reference samples for industrial yeast and adapted strains were collected at the same time without inhibitor addition. 2 replicates for each strain/treatment were analyzed.
Project description:Our study involves a transcriptomic approach to the analysis of industrial yeast metabolism. Historically, among the hundreds of yeast species, Saccharomyces cerevisiae has played an important role in scientific investigations and industrial applications, and it is universally acknowledged as one of the model systems for eukaryotic organisms. Yeast is also an important component of the wine fermentation process and determines various attributes of the final product. Our research takes a holistic approach to the improvement of industrial yeast strains by integrating large data sets from various yeast strains during fermentation. This means that analysis can be done in such a way as to co-evaluate several parameters simultaneously to identify points of interest and target genes for metabolic engineering. Eventually we hope to construct an accurate information matrix and a more complete cellular map for the fermenting yeast. This will enable accurate model-building for industrial yeast and facilitated the design of intelligent yeast improvement strategies which can be applied via traditional avenues of molecular biology. Experiment Overall Design: Five different Saccharomyces cerevisiae strains used in industrial winemaking processes were used in synthetic must (MS300) fermentations. All fermentations were carried out in triplicate, so each sample is represented by three completely independent biological repeats. Samples for microarray analysis were taken at three different time points during fermentation, representative of the exponential (day2), early stationary (day5) and late stationary (day14) growth stages.
Project description:In this study, we investigated the impact of industrial antifoam agents on the physiology and transcriptome of the industrial ethanol Saccharomyces cerevisiae strain CAT-1. We showed that under industrial molasses fermentations similar to the ones used for ethanol production in Brazil, antifoam agents had detrimental effects on productivity, viability and lead to increased stress responses in yeast.
Project description:Furfural, phenol and acetic acid, generated during cellulosic material pretreatment, are the representative inhibitors to yeast used for ethanol production. The responses to these inhibitors in industrial yeast and the corresponding adapted strains were analyzed.
Project description:High-level production of pharmaceutical proteins in industrial microorganism is often limited due to the increased cellular stress from misfolded proteins or protein aggregates. Here, we explore the feasibility of applying a yeast Alzheimer’s disease (AD) model with accumulation of amyloid-β peptides (Aβ42), which presents similar phenotypes of cellular stress. We utilize the suppressors of Aβ42 cytotoxicity as potential metabolic engineering targets to improve industrial protein production. The transcriptomics analyses provide new insights towards developing synthetic yeast cell factories for biosynthesis of valuable pharmaceutical proteins.