Analysis of the genomic response of a wine yeast to rehydration and inoculation

Impact of Saccharomyces cerevisiae yeast inoculation mode on wine composition

Inoculation modes are known to affect yeast behavior. Here, we characterized the impact of ADY and pre-culturing on the composition of the resulting wine, fermented by four commercial strains of Saccharomyces cerevisiae. Classical oenological parameters were not affected by the yeast inoculation mode. Using an untargeted metabolomic approach, a significant distinction in wine composition was noted regardless of the strain between the two inoculation modes, each associated with a specific metabolomic signature. 218 and 895 biomarkers were annotated, respectively, for ADYs associated with the preservation of wine polyphenols, and for pre-cultures related to the modulation of yeast nitrogen metabolism. Volatilome analysis revealed that the ester family was that most impacted by the inoculation mode whatever the strain. Ester production was enhanced in ADY condition. For the first time, the complete reprogramming of the yeast metabolism was revealed as a function of yeast preparation, which significantly impacts its volatilome and exometabolome.

Lifestyle, Lineage, and Geographical Origin Influence Temperature-Dependent Phenotypic Variation across Yeast Strains during Wine Fermentation

Saccharomyces cerevisiae yeasts are a diverse group of single-celled eukaryotes with tremendous phenotypic variation in fermentation efficiency, particularly at different temperatures. Yeast can be categorized into subsets based on lifestyle (Clinical, Fermentation, Laboratory, and Wild), genetic lineage (Malaysian, Mosaic, North American, Sake, West African, and Wine), and geographical origin (Africa, Americas, Asia, Europe, and Oceania) to start to understand their ecology; however, little is known regarding the extent to which these groupings drive S. cerevisiae fermentative ability in grape juice at different fermentation temperatures. To investigate the response of yeast within the different subsets, we quantified fermentation performance in grape juice by measuring the lag time, maximal fermentation rate (V_max), and fermentation finishing efficiency of 34 genetically diverse S. cerevisiae strains in grape juice at five environmentally and industrially relevant temperatures (10, 15, 20, 25, and 30 °C). Extensive multivariate analysis was applied to determine the effects of lifestyle, lineage, geographical origin, strain, and temperature on yeast fermentation phenotypes. We show that fermentation capability is inherent to S. cerevisiae and that all factors are important in shaping strain fermentative ability, with temperature having the greatest impact, and geographical origin playing a lesser role than lifestyle or genetic lineage.

Relief from nitrogen starvation entails quick unexpected down-regulation of glycolytic/lipid metabolism genes in enological Saccharomyces cerevisiae

Nitrogen composition of the grape must has an impact on yeast growth and fermentation kinetics as well as on the organoleptic properties of the final product. In some technological processes, such as white wine/rosé winemaking, the yeast-assimilable nitrogen content is sometimes insufficient to cover yeast requirements, which can lead to slow or sluggish fermentations. Growth is nevertheless quickly restored upon relief from nutrient starvation, e.g. through the addition of ammonium nitrogen, allowing fermentation completion. The aim of this study was to determine how nitrogen repletion affected the transcriptional response of a Saccharomyces cerevisiae wine yeast strain, in particular within the first hour after nitrogen addition. We found almost 4800 genes induced or repressed, sometimes within minutes after nutrient changes. Some of these responses to nitrogen depended on the TOR pathway, which controls positively ribosomal protein genes, amino acid and purine biosynthesis or amino acid permease genes and negatively stress-response genes, and genes related to the retrograde response (RTG) specific to the tricarboxylic acid (TCA) cycle and nitrogen catabolite repression (NCR). Some unexpected transcriptional responses concerned all the glycolytic genes, carbohydrate metabolism and TCA cycle-related genes that were down-regulated, as well as genes from the lipid metabolism.

Systems-based approaches enable identification of gene targets which improve the flavour profile of low-ethanol wine yeast strains

Metabolic engineering has been vital to the development of industrial microbes such as the yeast Saccharomyces cerevisiae. However, sequential rounds of modification are often needed to achieve particular industrial design targets. Systems biology approaches can aid in identifying genetic targets for modification through providing an integrated view of cellular physiology. Recently, research into the generation of commercial yeasts that can produce reduced-ethanol wines has resulted in metabolically-engineered strains of S. cerevisiae that are less efficient at producing ethanol from sugar. However, these modifications led to the concomitant production of off-flavour by-products. A combination of transcriptomics, proteomics and metabolomics was therefore used to investigate the physiological changes occurring in an engineered low-ethanol yeast strain during alcoholic fermentation. Integration of 'omics data identified several metabolic reactions, including those related to the pyruvate node and redox homeostasis, as being significantly affected by the low-ethanol engineering methodology, and highlighted acetaldehyde and 2,4,5-trimethyl-1,3-dioxolane as the main off-flavour compounds. Gene remediation strategies were then successfully applied to decrease the formation of these by-products, while maintaining the 'low-alcohol' phenotype. The data generated from this comprehensive systems-based study will inform wine yeast strain development programmes, which, in turn, could potentially play an important role in assisting winemakers in their endeavour to produce low-alcohol wines with desirable flavour profiles.

Relief from nitrogen starvation triggers transient destabilization of glycolytic mRNAs in Saccharomyces cerevisiae cells

Nitrogen replenishment of nitrogen-starved yeast cells resulted in substantial transcriptome changes. There was an unexplained rapid, transient down-regulation of glycolytic genes. This unexpected result prompted us to search for the factors controlling these changes, among which is the possible involvement of different nutrient-sensing pathways such as the TORC1 and cAMP/PKA pathways. To that end, the effects of various gene deletions or chemical blocking agents were tested by investigating the expression of PGK1, one of the glycolytic genes most affected after nitrogen replenishment. We report here that several factors affected glycolytic mRNA stability, among which were glucose sensing, protein elongation, nitrogen metabolism, and TOR signaling. Ammonium sensing was not involved in the response, but ammonium metabolism was required. Thus, our results suggest that, in the presence of glucose, carbon/nitrogen cross-talk is likely involved in the response to nitrogen upshift. Our data suggest that posttranscriptional control of glycolytic gene expression may be an important response to nitrogen replenishment.

ATG18 and FAB1 are involved in dehydration stress tolerance in Saccharomyces cerevisiae

Recently, different dehydration-based technologies have been evaluated for the purpose of cell and tissue preservation. Although some early results have been promising, they have not satisfied the requirements for large-scale applications. The long experience of using quantitative trait loci (QTLs) with the yeast Saccharomyces cerevisiae has proven to be a good model organism for studying the link between complex phenotypes and DNA variations. Here, we use QTL analysis as a tool for identifying the specific yeast traits involved in dehydration stress tolerance. Three hybrids obtained from stable haploids and sequenced in the Saccharomyces Genome Resequencing Project showed intermediate dehydration tolerance in most cases. The dehydration resistance trait of 96 segregants from each hybrid was quantified. A smooth, continuous distribution of the anhydrobiosis tolerance trait was found, suggesting that this trait is determined by multiple QTLs. Therefore, we carried out a QTL analysis to identify the determinants of this dehydration tolerance trait at the genomic level. Among the genes identified after reciprocal hemizygosity assays, RSM22, ATG18 and DBR1 had not been referenced in previous studies. We report new phenotypes for these genes using a previously validated test. Finally, our data illustrates the power of this approach in the investigation of the complex cell dehydration phenotype.

Metabolic and transcriptomic response of the wine yeast Saccharomyces cerevisiae strain EC1118 after an oxygen impulse under carbon-sufficient, nitrogen-limited fermentative conditions

During alcoholic fermentation, Saccharomyces cerevisiae is exposed to continuously changing environmental conditions, such as decreasing sugar and increasing ethanol concentrations. Oxygen, a critical nutrient to avoid stuck and sluggish fermentations, is only discretely available throughout the process after pump-over operation. In this work, we studied the physiological response of the wine yeast S. cerevisiae strain EC1118 to a sudden increase in dissolved oxygen, simulating pump-over operation. With this aim, an impulse of dissolved oxygen was added to carbon-sufficient, nitrogen-limited anaerobic continuous cultures. Results showed that genes related to mitochondrial respiration, ergosterol biosynthesis, and oxidative stress, among other metabolic pathways, were induced after the oxygen impulse. On the other hand, mannoprotein coding genes were repressed. The changes in the expression of these genes are coordinated responses that share common elements at the level of transcriptional regulation. Beneficial and detrimental effects of these physiological processes on wine quality highlight the dual role of oxygen in 'making or breaking wines'. These findings will facilitate the development of oxygen addition strategies to optimize yeast performance in industrial fermentations.

Genome-wide study of the adaptation of Saccharomyces cerevisiae to the early stages of wine fermentation

This work was designed to identify yeast cellular functions specifically affected by the stress factors predominating during the early stages of wine fermentation, and genes required for optimal growth under these conditions. The main experimental method was quantitative fitness analysis by means of competition experiments in continuous culture of whole genome barcoded yeast knockout collections. This methodology allowed the identification of haploinsufficient genes, and homozygous deletions resulting in growth impairment in synthetic must. However, genes identified as haploproficient, or homozygous deletions resulting in fitness advantage, were of little predictive power concerning optimal growth in this medium. The relevance of these functions for enological performance of yeast was assessed in batch cultures with single strains. Previous studies addressing yeast adaptation to winemaking conditions by quantitative fitness analysis were not specifically focused on the proliferative stages. In some instances our results highlight the importance of genes not previously linked to winemaking. In other cases they are complementary to those reported in previous studies concerning, for example, the relevance of some genes involved in vacuolar, peroxisomal, or ribosomal functions. Our results indicate that adaptation to the quickly changing growth conditions during grape must fermentation require the function of different gene sets in different moments of the process. Transport processes and glucose signaling seem to be negatively affected by the stress factors encountered by yeast in synthetic must. Vacuolar activity is important for continued growth during the transition to stationary phase. Finally, reduced biogenesis of peroxisomes also seems to be advantageous. However, in contrast to what was described for later stages, reduced protein synthesis is not advantageous for the early (proliferative) stages of the fermentation process. Finally, we found adenine and lysine to be in short supply for yeast growth in some natural grape musts.

Transcriptional regulation of fermentative and respiratory metabolism in Saccharomyces cerevisiae industrial bakers' strains

Bakers' yeast-producing companies grow cells under respiratory conditions, at a very high growth rate. Some desirable properties of bakers' yeast may be altered if fermentation rather than respiration occurs during biomass production. That is why differences in gene expression patterns that take place when industrial bakers' yeasts are grown under fermentative, rather than respiratory conditions, were examined. Macroarray analysis of V1 strain indicated changes in gene expression similar to those already described in laboratory Saccharomyces cerevisiae strains: repression of most genes related to respiration and oxidative metabolism and derepression of genes related to ribosome biogenesis and stress resistance in fermentation. Under respiratory conditions, genes related to the glyoxylate and Krebs cycles, respiration, gluconeogenesis, and energy production are activated. DOG21 strain, a partly catabolite-derepressed mutant derived from V1, displayed gene expression patterns quite similar to those of V1, although lower levels of gene expression and changes in fewer number of genes as compared to V1 were both detected in all cases. However, under fermentative conditions, DOG21 mutant significantly increased the expression of SNF1 -controlled genes and other genes involved in stress resistance, whereas the expression of the HXK2 gene, involved in catabolite repression, was considerably reduced, according to the pleiotropic stress-resistant phenotype of this mutant. These results also seemed to suggest that stress-resistant genes control desirable bakers' yeast qualities.

Functional analysis to identify genes in wine yeast adaptation to low-temperature fermentation

AIMS

  To identify genes and proteins involved in adaptation to low-temperature fermentations in a commercial wine yeast.

METHODS AND RESULTS

  Nine proteins were identified as representing the most significant changes in proteomic maps during the first 24 h of fermentation at low (13°C) and standard temperature (25°C). These proteins were mainly involved in stress response and in glucose and nitrogen metabolism. Transcription analysis of the genes encoding most of these proteins within the same time frame of wine fermentation presented a good correlation with proteomic data. Knockout and overexpressing strains of some of these genes were constructed and tested to evaluate their ability to start the fermentation process. The strain overexpressing ILV5 improved its fermentation activity in the first hours of fermentation. This strain showed a quicker process of mitochondrial degeneration, an altered intracellular amino acid profile and laxer nitrogen catabolite repression regulation.

CONCLUSIONS

  The proteomic and transcriptomic analysis is useful to detect key molecular adaptation mechanisms of biotechnological interest for industrial processes. ILV5 gene seems to be important in wine yeast adaptation to low-temperature fermentation.

SIGNIFICANCE AND IMPACT OF THE STUDY

  This study provides information that might help improve the future performance of wine yeast, either by genetic modification or by adaptation during industrial production.

Transcription profiling of sparkling wine second fermentation

There is a specific set of stress factors that yeast cells must overcome under second fermentation conditions, during the production of sparkling wines by the traditional (Champenoise) method. Some of them are the same as those of the primary fermentation of still wines, although perhaps with a different intensity (high ethanol concentration, low pH, nitrogen starvation) while others are more specific to second fermentation (low temperature, CO(2) overpressure). The transcription profile of Saccharomyces cerevisiae during primary wine fermentation has been studied by several research groups, but this is the first report on yeast transcriptome under second fermentation conditions. Our results indicate that the main pathways affected by these particular conditions are related to aerobic respiration, but genes related to vacuolar and peroxisomal functions were also highlighted in this study. A parallelism between the transcription profile of wine yeast during primary and second fermentation is appreciated, with ethanol appearing as the main factor driving gene transcription during second fermentation. Low temperature seems to also influence yeast transcription profile under these particular winemaking conditions.

Phenomic and transcriptomic analyses reveal that autophagy plays a major role in desiccation tolerance in Saccharomyces cerevisiae

Saccharomyces cerevisiae can survive extreme desiccation, but the molecular mechanisms are poorly understood. To define genes involved in desiccation tolerance, two complementary genome-wide approaches, phenomics and transcriptomics, have been used, together with a targeted analysis of gene deletion mutants tested individually for their ability to survive drying. Genome-wide phenotypic analyses carried out on a pooled library of single-gene deletion mutants subjected to three cycles of desiccation and re-growth to post-diauxic phase identified about 650 genes that contributed to strain survival in the drying process. Air-drying desiccation-tolerant post-diauxic phase cells significantly altered transcription in 12% of the yeast genome, activating expression of over 450 genes and down-regulating 330. Autophagy processes were significantly over-represented in both the phenomics study and the genes up-regulated on drying, indicating the importance of the clearance of protein aggregates/damaged organelles and the recycling of nutrients for the survival of desiccation in yeast. Functional carbon source sensing networks governed by the PKA, Tor and Snf1 protein kinase complexes were important for the survival of desiccation, as indicated by phenomics, transcriptomics, and individual analyses of mutant strains. Changes in nitrogen metabolism were evident during the drying process and parts of the environmental stress response were activated, repressing ribosome production and inducing genes for coping with oxidative and osmotic stress.

Changes in gene expression of commercial baker's yeast during an air-drying process that simulates dried yeast production

Changes in the gene expression of commercial baker's yeast during an air-drying process, which simulated dried yeast production, were analyzed. K-means clustering suggested that the genes involved in protein folding were transiently up-regulated at early stages, and that the genes involved in fatty acid metabolism were continuously up-regulated.

The proteome of a wine yeast strain during fermentation, correlation with the transcriptome

AIMS

Although wine yeast gene expression has been thoroughly investigated only few data are available on the evolution the proteome during alcoholic fermentation. This work aimed at specifying the change in proteome during fermentation and to assess its connection with transcriptome.

METHODS AND RESULTS

The proteome of a wine yeast was monitored by 2-D gel electrophoresis throughout alcoholic fermentation. Proteome was analysed in exponential growth and stationary phase. Among 744 spots, detected we observed significant changes in abundance with 89 spots displaying an increase in intensity and 124 a decrease. We identified 59 proteins among the most regulated and/or the most expressed. Glycolysis and ethanol production, amino acid and sulfur metabolism were the most represented functional categories. We found only a weak correlation between changes in mRNA and protein abundance, which is strongly dependent on the functional category.

CONCLUSIONS

There are substantial changes in protein abundance during alcoholic fermentation, but they are not directly associated with changes at transcript level suggesting that mRNA is selectively processed and/or translated in stationary phase.

SIGNIFICANCE AND IMPACT OF THE STUDY

These data show that proteome is a relevant level of analysis to gain insight into wine yeast adaptation to alcoholic fermentation.

Growth temperature exerts differential physiological and transcriptional responses in laboratory and wine strains of Saccharomyces cerevisiae

Laboratory strains of Saccharomyces cerevisiae have been widely used as a model for studying eukaryotic cells and mapping the molecular mechanisms of many different human diseases. Industrial wine yeasts, on the other hand, have been selected on the basis of their adaptation to stringent environmental conditions and the organoleptic properties that they confer to wine. Here, we used a two-factor design to study the responses of a standard laboratory strain, CEN.PK113-7D, and an industrial wine yeast strain, EC1118, to growth temperatures of 15 degrees C and 30 degrees C in nitrogen-limited, anaerobic, steady-state chemostat cultures. Physiological characterization revealed that the growth temperature strongly impacted the biomass yield of both strains. Moreover, we found that the wine yeast was better adapted to mobilizing resources for biomass production and that the laboratory yeast exhibited higher fermentation rates. To elucidate mechanistic differences controlling the growth temperature response and underlying adaptive mechanisms between the strains, DNA microarrays and targeted metabolome analysis were used. We identified 1,007 temperature-dependent genes and 473 strain-dependent genes. The transcriptional response was used to identify highly correlated gene expression subnetworks within yeast metabolism. We showed that temperature differences most strongly affect nitrogen metabolism and the heat shock response. A lack of stress response element-mediated gene induction, coupled with reduced trehalose levels, indicated that there was a decreased general stress response at 15 degrees C compared to that at 30 degrees C. Differential responses among strains were centered on sugar uptake, nitrogen metabolism, and expression of genes related to organoleptic properties. Our study provides global insight into how growth temperature affects differential physiological and transcriptional responses in laboratory and wine strains of S. cerevisiae.

Proteomic evolution of a wine yeast during the first hours of fermentation

The inoculation of active dry wine yeast (ADWY) is one of the most common practices in winemaking. This inoculation exposes the yeast cells to strong osmotic, acidic and thermal stresses, and adaptation to the new medium is crucial for successful fermentation. We have analysed the changes that occur in the ADWY protein profile in the first hours after inoculation under enological-like conditions at a low temperature. Protein changes mainly included enzymes of the nitrogen and carbon metabolism and proteins related to the cellular stress response. Most of the enzymes of the lower part of the glycolysis showed an increase in their concentration 4 and 24 h after inoculation, indicating an increase in glycolytic flux and in ATP production. However, the shift from respiration to fermentation was not immediate in the inoculation because some mitochondrial proteins involved in oxidative metabolism were induced in the first hours after inoculation. Inoculation in this fresh medium also reduced the cellular concentration of stress proteins produced during industrial production of the ADWY. The only exception was Cys3p, which might be involved in glutathione synthesis as a response to oxidative stress. A better understanding of the yeast stress response to rehydration and inoculation will lead to improvements in the handling efficiency of ADWY in winemaking and presumably to better control of fermentation startup.

A systems biology perspective of wine fermentations

The yeast Saccharomyces cerevisiae is an important industrial microorganism. Nowadays, it is being used as a cell factory for the production of pharmaceuticals such as insulin, although this yeast has long been utilized in the bakery to raise dough, and in the production of alcoholic beverages, fermenting the sugars derived from rice, wheat, barley, corn and grape juice. S. cerevisiae has also been extensively used as a model eukaryotic system. In the last decade, genomic techniques have revealed important features of its molecular biology. For example, DNA array technologies are routinely used for determining gene expression levels in cells under different physiological conditions or environmental stimuli. Laboratory strains of S. cerevisiae are different from wine strains. For instance, laboratory yeasts are unable to completely transform all the sugar in the grape must into ethanol under winemaking conditions. In fact, standard culture conditions are usually very different from winemaking conditions, where multiple stresses occur simultaneously and sequentially throughout the fermentation. The response of wine yeasts to these stimuli differs in some aspects from laboratory strains, as suggested by the increasing number of studies in functional genomics being conducted on wine strains. In this paper we review the most recent applications of post-genomic techniques to understand yeast physiology in the wine industry. We also report recent advances in wine yeast strain improvement and propose a reference framework for integration of genomic information, bioinformatic tools and molecular biology techniques for cellular and metabolic engineering. Finally, we discuss the current state and future perspectives for using 'modern' biotechnology in the wine industry.

Yeast responses to stresses associated with industrial brewery handling: Figure 1

During brewery handling, production strains of yeast must respond to fluctuations in dissolved oxygen concentration, pH, osmolarity, ethanol concentration, nutrient supply and temperature. Fermentation performance of brewing yeast strains is dependent on their ability to adapt to these changes, particularly during batch brewery fermentation which involves the recycling (repitching) of a single yeast culture (slurry) over a number of fermentations (generations). Modern practices, such as the use of high-gravity worts and preparation of dried yeast for use as an inoculum, have increased the magnitude of the stresses to which the cell is subjected. The ability of yeast to respond effectively to these conditions is essential not only for beer production but also for maintaining the fermentation fitness of yeast for use in subsequent fermentations. During brewery handling, cells inhabit a complex environment and our understanding of stress responses under such conditions is limited. The advent of techniques capable of determining genomic and proteomic changes within the cell is likely vastly to improve our knowledge of yeast stress responses during industrial brewery handling.

Sfl1p acts as an activator of the HSP30 gene in Saccharomyces cerevisiae

In the yeast, environmental challenges are known to induce both specific and general stress response. The HSP30 gene is strongly induced when cells are exposed to various stresses but this activation is largely independent of the major stress-related transcription factor Hsf1p and partly independent from Msn2p/Msn4p. In order to identify new potential regulators of HSP30 we isolated insertion mutants affected in HSP30 expression. We identified SFL1 gene encoding a protein previously shown to repress several genes. We show that Sfl1 is involved in the transcriptional activation of HSP30. Mutation of sfl1 reduces HSP30-lacZ expression under both basal and stress-induced conditions. We also show, using site-directed mutagenesis, that HSL motifs (Heat-Shock-Like putative DNA binding sequence) located in HSP30 promoter are required for HSP30 activation. Finally, a genome-wide analysis of the effects of SFL1 deletion on gene expression revealed that Sfl1p controls the expression of a small number of genes, with some being activated by the protein and others repressed. As a whole our data show that Sfl1p is a key component of the transcriptional control of the stress responsive gene HSP30. Moreover, we show that Sfl1, which was previously described as being a transcriptional repressor, can also act as an activator.

Yeast systems biology: modelling the winemaker's art

Yeast research represents an important nexus between fundamental and applied research. Just as fundamental yeast research transitioned from classical, reductionist strategies to whole-genome techniques, whole-genome studies are advancing to the next level of biological research, referred to as systems biology. Industries that rely on high-performing yeast, such as the wine industry, are therefore poised to reap the many benefits that systems biology can provide. This includes the promise of strain development at speeds and costs which are unobtainable using current techniques. This article reviews the current state of whole-genome techniques available to yeast researchers and outlines how these processes can be used to obtain 'systems-level' information to provide insights into winemaking.

Early transcriptional response of wine yeast after rehydration: osmotic shock and metabolic activation

The inoculation of active dry wine yeast (ADWY) is one of the most common practices in winemaking. We have used DNA microarray technology to examine the genetic expression patterns of a commercial ADWY strain after rehydration. After rehydration of ADWY for 30 min, a further hour in water after rehydration did not lead to any relevant changes in global gene expression. Expression changes in rehydrated cells upon incubation in a sorbitol solution at the same osmotic pressure as in complete must were rather limited, whereas the presence of fermentable carbon sources or the complete medium (synthetic must) produced very similar transcriptional responses. The main responses were the activation of some genes of the fermentation pathway and of the nonoxidative branch of the pentose phosphate pathway, and the induction of a huge cluster of genes related to ribosomal biogenesis and protein synthesis. The presence of cycloheximide in fermentable medium produced a similar but stronger transcriptional response. Whereas the viabilities of rehydrated cells incubated for 1 h in these different media were similar, yeast vitality, which represents the fermentative capacity of the yeast, showed a positive correlation with the availability of a fermentable carbon source.

Functional genomics of wine yeast Saccharomyces cerevisiae

The application of genomic technologies to the analysis of wine strains of Saccharomyces cerevisiae has greatly enhanced our understanding of both native and laboratory strains of this important model eukaryote. Not only are differences in transcript, protein, and metabolite profiles being uncovered, but the heritable basis of these differences is also being elucidated. Although some challenges remain in the application of functional genomic technologies to commercial and native strains of S. cerevisiae, recent improvements, particularly in data analysis, have greatly extended the utility of these tools. Comparative analysis of laboratory and wine isolates is refining our understanding of the mechanisms of genome evolution. Genomic analysis of Saccharomyces in native environments is providing evidence of gene function to previously uncharacterized open reading frames and delineating the physiological parameters of ecological niche specialization and stress adaptation. The wealth of information being generated will soon be utilized to construct commercial stains with more desirable phenotypes, traits that will be designed to be genetically stable under commercial production conditions.

Proteomic Analysis of Saccharomyces cerevisiae under High Gravity Fermentation Conditions

Saccharomyces cerevisiae KAY446 was utilized for ethanol production, with glucose concentrations ranging from 120 g/L (normal) to 300 g/L (high). Although grown in a high glucose environment, S. cerevisiae still retained the ability to produce ethanol with a high degree of glucose utilization. iTRAQ-mediated shotgun proteomics was applied to identify relative expression change of proteins under the different glucose conditions. A total of 413 proteins were identified from three replicate, independent LC-MS/MS runs. Unsurprisingly, many proteins in the glycolysis/gluconeogenesis pathway showed significant changes in expression level. Twenty five proteins involved in amino acid metabolism decreased their expression, while the expressions of 12 heat-shock related proteins were also identified. Under high glucose conditions, ethanol was produced as a major product. However, the assimilation of glucose as well as a number of byproducts was also enhanced. Therefore, to optimize the ethanol production under very high gravity conditions, a number of pathways will need to be deactivated, while still maintaining the correct cellular redox or osmotic state. Proteomics is demonstrated here as a tool to aid in this forward metabolic engineering.