A novel strategy to construct yeast Saccharomyces cerevisiae strains for very high gravity fermentation

Very high gravity (VHG) fermentation is aimed to considerably increase both the fermentation rate and the ethanol concentration, thereby reducing capital costs and the risk of bacterial contamination. This process results in critical issues, such as adverse stress factors (ie., osmotic pressure and ethanol inhibition) and high concentrations of metabolic byproducts which are difficult to overcome by a single breeding method. In the present paper, a novel strategy that combines metabolic engineering and genome shuffling to circumvent these limitations and improve the bioethanol production performance of Saccharomyces cerevisiae strains under VHG conditions was developed. First, in strain Z5, which performed better than other widely used industrial strains, the gene GPD2 encoding glycerol 3-phosphate dehydrogenase was deleted, resulting in a mutant (Z5ΔGPD2) with a lower glycerol yield and poor ethanol productivity. Second, strain Z5ΔGPD2 was subjected to three rounds of genome shuffling to improve its VHG fermentation performance, and the best performing strain SZ3-1 was obtained. Results showed that strain SZ3-1 not only produced less glycerol, but also increased the ethanol yield by up to 8% compared with the parent strain Z5. Further analysis suggested that the improved ethanol yield in strain SZ3-1 was mainly contributed by the enhanced ethanol tolerance of the strain. The differences in ethanol tolerance between strains Z5 and SZ3-1 were closely associated with the cell membrane fatty acid compositions and intracellular trehalose concentrations. Finally, genome rearrangements in the optimized strain were confirmed by karyotype analysis. Hence, a combination of genome shuffling and metabolic engineering is an efficient approach for the rapid improvement of yeast strains for desirable industrial phenotypes.     

Combined analysis of RNA‐sequence and microarray data reveals effective metabolism‐based prognostic signature for neuroblastoma

The relationship between metabolism reprogramming and neuroblastoma (NB) is largely unknown. In this study, one RNA‐sequence data set (n = 153) was used as discovery cohort and two microarray data sets (n = 498 and n = 223) were used as validation cohorts. Differentially expressed metabolic genes were identified by comparing stage 4s and stage 4 NBs. Twelve metabolic genes were selected by LASSO regression analysis and integrated into the prognostic signature. The metabolic gene signature successfully stratifies NB patients into two risk groups and performs well in predicting survival of NB patients. The prognostic value of the metabolic gene signature is also independent with other clinical risk factors. Nine metabolism‐related long non‐coding RNAs (lncRNAs) were also identified and integrated into the metabolism‐related lncRNA signature. The lncRNA signature also performs well in predicting survival of NB patients. These results suggest that the metabolic signatures have the potential to be used for risk stratification of NB. Gene set enrichment analysis (GSEA) reveals that multiple metabolic processes (including oxidative phosphorylation and tricarboxylic acid cycle, both of which are emerging targets for cancer therapy) are enriched in the high‐risk NB group, and no metabolic process is enriched in the low‐risk NB group. This result indicates that metabolism reprogramming is associated with the progression of NB and targeting certain metabolic pathways might be a promising therapy for NB.     

The proteomic response of Saccharomyces cerevisiae in very high glucose conditions with amino acid supplementation

Ethanol yield by Saccharomyces cerevisiae in very high glucose (VHG) media with an amino acid supplement was investigated. Amino acid supplementation led to positive cell responses, including reduced lag time and increased cell viability in VHG media. A quantitative shotgun proteomic analysis was used to understand how amino acid supplemented S. cerevisiae responds to high osmotic conditions. iTRAQ data revealed that most proteins involved in glycolysis and pentose phosphate pathways were up-regulated under high glucose shock. Reactivation of amino acid metabolism was also observed at the end of the lag phase. The relative abundance of most identified proteins, including aminoacyl-tRNA biosynthesis proteins, and heat-shock proteins, remained unchanged in the hours immediately following application of glucose shock. However, the expression of these proteins increased significantly at the end of the lag phase. Furthermore, the up-regulation of trehalose and glycogen biosynthesis proteins, first maintaining then latterly increasing glycolysis pathway activity was also observed. This was verified by enhanced ethanol yields at 10 and 12 h (0.43 and 0.45 g ethanol/g glucose) compared to 2 h (0.32 g ethanol/g glucose). These data combined with relevant metabolite measurements demonstrates that enhanced ethanol fermentation under VHG conditions can be achieved with the aid of amino acid supplementation.     

An innovative consecutive batch fermentation process for very high gravity ethanol fermentation with self-flocculating yeast

An innovative consecutive batch fermentation process was developed for very high gravity (VHG) ethanol fermentation with the self-flocculating yeast under high biomass concentration conditions. On the one hand, the high biomass concentration significantly shortened the time required to complete the VHG fermentation and the duration of yeast cells suffering from strong ethanol inhibition, preventing them from losing viability and making them suitable for being repeatedly used in the process. On the other hand, the separation of yeast cells from the fermentation broth by sedimentation instead of centrifugation, making the process economically more competitive. The VHG medium composed of 255 g L⁻¹ glucose and 6.75 g L⁻¹ each of yeast extract and peptone was fed into the fermentation system for nine consecutive batch fermentations, which were completed within 8–14 h with an average ethanol concentration of 15% (v/v) and ethanol yield of 0.464, 90.8% of its theoretical value of 0.511. The average ethanol productivity that was calculated with the inclusion of the downstream time for the yeast flocs to settle from the fermentation broth and the supernatant to be removed from the fermentation system was 8.2 g L⁻¹ h⁻¹, much higher than those previously reported for VHG ethanol fermentation and regular ethanol fermentation with ethanol concentration around 12% (v/v) as well.     

Prognostic power of a lipid metabolism gene panel for diffuse gliomas

Lipid metabolism reprogramming plays important role in cell growth, proliferation, angiogenesis and invasion in cancers. However, the diverse lipid metabolism programmes and prognostic value during glioma progression remain unclear. Here, the lipid metabolism‐related genes were profiled using RNA sequencing data from The Cancer Genome Atlas (TCGA) and Chinese Glioma Genome Atlas (CGGA) database. Gene ontology (GO) and gene set enrichment analysis (GSEA) found that glioblastoma (GBM) mainly exhibited enrichment of glycosphingolipid metabolic progress, whereas lower grade gliomas (LGGs) showed enrichment of phosphatidylinositol metabolic progress. According to the differential genes of lipid metabolism between LGG and GBM, we developed a nine‐gene set using Cox proportional hazards model with elastic net penalty, and the CGGA cohort was used for validation data set. Survival analysis revealed that the obtained gene set could differentiate the outcome of low‐ and high‐risk patients in both cohorts. Meanwhile, multivariate Cox regression analysis indicated that this signature was a significantly independent prognostic factor in diffuse gliomas. Gene ontology and GSEA showed that high‐risk cases were associated with phenotypes of cell division and immune response. Collectively, our findings provided a new sight on lipid metabolism in diffuse gliomas.     

Aerobic physiology of redox-engineered Saccharomyces cerevisiae strains modified in the ammonium assimilation for increased NADPH availability

Recombinant strains altered in the ammonium assimilation pathways were constructed with the purpose of increasing NADPH availability. The NADPH-dependent glutamate dehydrogenase encoded by GDH1, which accounts for a major fraction of the NADPH consumption during growth on ammonium, was deleted, and alternative pathways for ammonium assimilation were overexpressed: GDH2 (NADH-consuming) or GLN1 and GLT1 (the GS-GOGAT system). The flux through the pentose phosphate pathway during aerobic growth on glucose decreased to about half that of the reference strain Saccharomyces cerevisiae CEN.PK113-7D, indicating a major redox alteration in the strains. The basic growth characteristics of the recombinant strains were not affected to a great extent, but the dilution rate at which the onset of aerobic fermentation occurred decreased, suggesting a relation between the onset of the Crabtree effect and the flux through the Embden-Meyerhof-Parnas pathway downstream of glucose 6-phosphate. No redox effect was observed in a strain containing a deletion of GLR1, encoding glutathione reductase, an enzyme that is NADPH-consuming.     

Metabolite profiling for analysis of yeast stress response during very high gravity ethanol fermentations

A laboratory strain and an industrial strain of Saccharomyces cerevisiae were grown at high substrate concentration, so-called very high gravity (VHG) fermentation. Simultaneous saccharification and fermentation (SSF) was applied in a batch process using 280 g/L maltodextrin as carbon source. It was shown that known ethanol and osmotic stress responses such as decreased growth rate, lower viability, higher energy consumption, and intracellular trehalose accumulation occur in VHG SSF for both strains when compared with standard laboratory medium (20 g/L glucose). The laboratory strain was the most affected. GC-MS metabolite profiling was applied for assessing the yeast stress response influence on cellular metabolism. It was found that metabolite profiles originating from different strains and/or fermentation conditions were unique and could be distinguished with the help of multivariate data analysis. Several differences in the metabolic responses to stressing conditions were revealed, particularly the increased energy consumption of stressed cells was also reflected in increased intracellular concentrations of pyruvate and related metabolites.     

Very high gravity (VHG) ethanolic brewing and fermentation: a research update

There have been numerous developments in ethanol fermentation technology since the beginning of the new millennium as ethanol has become an immediate viable alternative to fast-depleting crude reserves as well as increasing concerns over environmental pollution. Nowadays, although most research efforts are focused on the conversion of cheap cellulosic substrates to ethanol, methods that are cost-competitive with gasoline production are still lacking. At the same time, the ethanol industry has engaged in implementing potential energy-saving, productivity and efficiency-maximizing technologies in existing production methods to become more viable. Very high gravity (VHG) fermentation is an emerging, versatile one among such technologies offering great savings in process water and energy requirements through fermentation of higher concentrations of sugar substrate and, therefore, increased final ethanol concentration in the medium. The technology also allows increased fermentation efficiency, without major alterations to existing facilities, by efficient utilization of fermentor space and elimination of known losses. This comprehensive research update on VHG technology is presented in two main sections, namely VHG brewing, wherein the effects of nutrients supplementation, yeast pitching rate, flavour compound synthesis and foam stability under increased wort gravities are discussed; and VHG bioethanol fermentation studies. In the latter section, aspects related to the role of osmoprotectants and nutrients in yeast stress reduction, substrates utilized/tested so far, including saccharide (glucose, sucrose, molasses, etc.) and starchy materials (wheat, corn, barley, oats, etc.), and mash viscosity issues in VHG bioethanol production are detailed. Thereafter, topics common to both areas such as process optimization studies, mutants and gene level studies, immobilized yeast applications, temperature effect, reserve carbohydrates profile in yeast, and economic aspects are discussed and future prospects are summarized.     

Predicting metabolic biomarkers of human inborn errors of metabolism

Early diagnosis of inborn errors of metabolism is commonly performed through biofluid metabolomics, which detects specific metabolic biomarkers whose concentration is altered due to genomic mutations. The identification of new biomarkers is of major importance to biomedical research and is usually performed through data mining of metabolomic data. After the recent publication of the genome‐scale network model of human metabolism, we present a novel computational approach for systematically predicting metabolic biomarkers in stochiometric metabolic models. Applying the method to predict biomarkers for disruptions of red‐blood cell metabolism demonstrates a marked correlation with altered metabolic concentrations inferred through kinetic model simulations. Applying the method to the genome‐scale human model reveals a set of 233 metabolites whose concentration is predicted to be either elevated or reduced as a result of 176 possible dysfunctional enzymes. The method's predictions are shown to significantly correlate with known disease biomarkers and to predict many novel potential biomarkers. Using this method to prioritize metabolite measurement experiments to identify new biomarkers can provide an order of a 10‐fold increase in biomarker detection performance.     

Improvement of ethanol production in very high gravity fermentation by horse gram (Dolichos biflorus) flour supplementation

AIMS: To determine the effect of osmotic stress on yeast and to investigate the protective role of horse gram flour during very high gravity (VHG) ethanol fermentation. METHODS AND RESULTS: Saccharomyces cerevisiae was inoculated into high sugar (30-40%, w/v) containing medium with and without supplementation of horse gram flour. The fermentation experiments were carried out in batch mode. The effect of 4 or 6% of horse gram flour to the medium on the metabolic behaviour and viability of yeast was studied. Significant increase in ethanol yield up to 50% and dramatic decrease in glycerol production up to 100% was observed in the presence of horse gram flour. The fermentation rate was increased from 3 to 5 days with increased viable cell count. The physical and chemical factors of horse gram flour may aid in reducing the osmotic stress of high gravity fermentation of ethanol as well as enhancing ethanol yield. CONCLUSIONS: It was found that horse gram flour not only reduced fermentation time but also enhanced ethanol production by better utilization of sugar. SIGNIFICANCE AND IMPACT OF THE STUDY: Production of high ethanol concentration by using VHG sugar fermentation eliminates the expensive steps in the conventional process and saves time.     

Proteomic analysis of calcium alginate-immobilized Saccharomyces cerevisiae under high-gravity fermentation conditions

Saccharomyces cerevisiae KAY446 cells immobilized in calcium alginate gel, and supplemented with additional amino acids, were successfully used in enhancing ethanol production. This combination succeeded in improving the ethanol yield and reducing the fermentation time. The ethanol yield under these conditions was 0.40 g of ethanol/g of glucose, with a final ethanol concentration of 118 g/L after 72 h. This is compared to yields with immobilized cells alone of 0.35 g of ethanol/g of glucose and freely suspended cells with no amino acid supplementation of 0.30 g of ethanol/g of glucose, under the same VHG conditions. The maximum specific ethanol production rates were 0.98, 0.73, and 0.61 g (g dry weight) (-1) h (-1) for immobilized cells under VHG conditions with and without amino acid supplementation and free cells, respectively. A proteomic analysis showed significant stimulation of many pathways during fermentation under these conditions, including the Ras/cAMP, glycolysis, starch, and sucrose pathways, amino acids biosynthesis, and aminoacyl-tRNA synthetases. The upregulation of ribosomal, heat-shock proteins and proteins involved in cell viability confirmed that protein biosynthesis was accelerated and revealed likely mechanisms for improving cellular viability.     

Improving ethanol fermentation performance of Saccharomyces cerevisiae in very high-gravity fermentation through chemical mutagenesis and meiotic recombination

Genome shuffling is an efficient way to improve complex phenotypes under the control of multiple genes. For the improvement of strain’s performance in very high-gravity (VHG) fermentation, we developed a new method of genome shuffling. A diploid ste2/ste2 strain was subjected to EMS (ethyl methanesulfonate) mutagenesis followed by meiotic recombination-mediated genome shuffling. The resulting haploid progenies were intrapopulation sterile and therefore haploid recombinant cells with improved phenotypes were directly selected under selection condition. In VHG fermentation, strain WS1D and WS5D obtained by this approach exhibited remarkably enhanced tolerance to ethanol and osmolarity, increased metabolic rate, and 15.12% and 15.59% increased ethanol yield compared to the starting strain W303D, respectively. These results verified the feasibility of the strain improvement strategy and suggested that it is a powerful and high throughput method for development of Saccharomyces cerevisiae strains with desired phenotypes that is complex and cannot be addressed with rational approaches.     

生理代谢参数RQ在指导发酵过程优化中的应用

过程在线参数检测是进行发酵过程工程优化控制的基础。呼吸熵RQ是微生物胞内微观代谢流在宏观代谢参数上的响应,反映了微生物培养过程中底物的利用情况、产物和副产物的合成情况、及微观代谢途径通量的变化。结合发酵葡萄糖酸、2,3-丁二醇谷氨酸、柠檬酸、头孢菌素C、毕赤酵母α-干扰素产品的工业生产过程,分析了以微生物胞内微观代谢与宏观的生理参数RQ为指导的发酵工艺优化策略。RQ值在发酵过程中可以根据尾气数据进行在线采集,对指导通过宏观代谢参数的调控来最优化微生物胞内的代谢途经通量,提高目的产物的产率具有非常重要的意义。     

Consolidated bioprocessing strategy for ethanol production from Jerusalem artichoke tubers by Kluyveromyces marxianus under high gravity conditions

Aims: Developing an innovative process for ethanol fermentation from Jerusalem artichoke tubers under very high gravity (VHG) conditions. Methods and Results: A consolidated bioprocessing (CBP) strategy that integrated inulinase production, saccharification of inulin contained in Jerusalem artichoke tubers and ethanol production from sugars released from inulin by the enzyme was developed with the inulinase‐producing yeast Kluyveromyces marxianus Y179 and fed‐batch operation. The impact of inoculum age, aeration, the supplementation of pectinase and nutrients on the ethanol fermentation performance of the CBP system was studied. Although inulinase activities increased with the extension of the seed incubation time, its contribution to ethanol production was negligible because vigorously growing yeast cells harvested earlier carried out ethanol fermentation more efficiently. Thus, the overnight incubation that has been practised in ethanol production from starch‐based feedstocks is recommended. Aeration facilitated the fermentation process, but compromised ethanol yield because of the negative Crabtree effect of the species, and increases the risk of contamination under industrial conditions. Therefore, nonaeration conditions are preferred for the CBP system. Pectinase supplementation reduced viscosity of the fermentation broth and improved ethanol production performance, particularly under high gravity conditions, but the enzyme cost should be carefully balanced. Medium optimization was performed, and ethanol concentration as high as 94·2 g l^?1 was achieved when 0·15 g l^?1 K₂HPO₄ was supplemented, which presents a significant progress in ethanol production from Jerusalem artichoke tubers. Conclusions: A CBP system using K. marxianus is suitable for efficient ethanol production from Jerusalem artichoke tubers under VHG conditions. Significance and Impact of the Study: Jerusalem artichoke tubers are an alternative to grain‐based feedstocks for ethanol production. The high ethanol concentration achieved using K. marxianus with the CBP system not only saves energy consumption for ethanol distillation, but also significantly reduces the amount of waste distillage discharged from the distillation system.     

Very high gravity ethanol and fatty acid production of <Emphasis Type="Italic">Zymomonas mobilis</Emphasis> without amino acid and vitamin

Very high gravity (VHG) fermentation is the mainstream technology in ethanol industry, which requires the strains be resistant to multiple stresses such as high glucose concentration, high ethanol concentration, high temperature and harsh acidic conditions. To our knowledge, it was not reported previously that any ethanol-producing microbe showed a high performance in VHG fermentations without amino acid and vitamin. Here we demonstrate the engineering of a xylose utilizing recombinant Zymomonas mobilis for VHG ethanol fermentations. The recombinant strain can produce ethanol up to 136 g/L without amino acid and vitamin with a theoretical yield of 90 %, which is significantly superior to that produced by all the reported ethanol-producing strains. The intracellular fatty acids of the bacterial were about 16 % of the bacterial dry biomass, with the ratio of ethanol:fatty acids was about 273:1 (g/g). The recombinant strain was achieved by a multivariate-modular strategy tackles with the multiple stresses which are closely linked to the ethanol productivity of Z. mobilis. The over-expression of metB/yfdZ operon enabled the growth of the recombinant Z. mobilis in a chemically defined medium without amino acid and vitamin; and the fatty acids overproduction significantly increased ethanol tolerance and ethanol production. The coupled production of ethanol with fatty acids of the Z. mobilis without amino acid and vitamin under VHG fermentation conditions may permit a significant reduction of the production cost of ethanol and microbial fatty acids.     

Metabolic characterization and transformation of the non‐dairy Lactococcus lactis strain KF147, for production of ethanol from xylose

The non‐dairy lactic acid bacterium Lactococcus lactis KF147 can utilize xylose as the sole energy source. To assess whether KF147 could serve as a platform organism for converting second generation sugars into useful chemicals, the authors characterized growth and product formation for KF147 when grown on xylose. In a defined medium KF147 was found to co‐metabolize xylose and arginine, resulting in bi‐phasic growth. Especially at low xylose concentrations, arginine significantly improved growth rate. To facilitate further studies of the xylose metabolism, the authors eliminated arginine catabolism by deleting the arcA gene encoding the arginine deiminase. The fermentation product profile suggested two routes for xylose degradation, the phosphoketolase pathway and the pentose phosphate pathway. Inactivation of the phosphoketolase pathway redirected the entire flux through the pentose phosphate pathway whereas over‐expression of phosphoketolase increased the flux through the phosphoketolase pathway. In general, significant amounts of the mixed‐acid products, including lactate, formate, acetate and ethanol, were formed irrespective of xylose concentrations. To demonstrate the potential of KF147 for converting xylose into useful chemicals the authors chose to redirect metabolism towards ethanol production. A synthetic promoter library was used to drive the expression of codon‐optimized versions of the Zymomonas mobilis genes encoding pyruvate decarboxylase and alcohol dehydrogenase, and the outcome was a strain producing ethanol as the sole fermentation product with a high yield corresponding to 83% of the theoretical maximum. The results clearly indicate the great potential of using the more metabolically diverse non‐dairy L. lactis strains for bio‐production based on xylose containing feedstocks.     

Application of multistage continuous fermentation for production of fuel alcohol by very-high-gravity fermentation technology

A fermentation system to test the merging of very-high-gravity (VHG) and multistage continuous culture fermentation (MCCF) technologies was constructed and evaluated for fuel ethanol production. Simulated mashes ranging from 15% to 32% w/v glucose were fermented by Saccharomyces cerevisiae and the dilution rates were adjusted for each glucose concentration to provide an effluent containing less than 0.3% w/v glucose (greater than 99% consumption of glucose). The MCCF can be operated with glucose concentrations up to 32% w/v, which indicates that the system can successfully operate under VHG conditions. With 32% w/v glucose in the medium reservoir, a maximum of 16.73% v/v ethanol was produced in the MCCF. The introduction of VHG fermentation into continuous culture technology allows an improvement in ethanol productivity while producing ethanol continuously. In comparing the viability of yeast by methylene blue and plate count procedures, the results in this work indicate that the methylene blue procedure may overestimate the proportion of dead cells in the population. Ethanol productivity (Yps) increased from the first to the last fermentor in the sequence at all glucose concentrations used. This indicated that ethanol is more effectively produced in later fermentors in the MCCF, and that the notion of a constant Yps is not a valid assumption for use in mathematical modeling of MCCFs. Journal of Industrial Microbiology & Biotechnology (2001) 27, 87–93. Received 20 January 2001/ Accepted in revised form 28 April 2001     

Ageing vessel design and optimization for continuous very-high-gravity ethanol fermentation processes

A continuous very-high-gravity (VHG) ethanol fermentation process design, consisting of a chemostat vessel connected to several equal-sized ageing vessels configured in parallel, was developed. The objective of the developed process is to have complete glucose utilization during fermentation stage. The process design integrates the conservation of mass principle and the experimental data of collected residual glucose profiles measured under VHG conditions. An ageing vessel involves three consecutive time periods: filling, ageing and operating. The ageing time is biological relevance, and is affected by the initial glucose concentration, the ethanol concentration, and the yeast viability in an ageing vessel. The operating time period is adjustable; a short operating time means a high discharge rate in order to empty an ageing vessel. The filling time links to the selection of the number of equal-sized ageing vessels that are installed downstream to a chemostat device. The developed process features the use of equal sized fermenters for all chemostat and ageing vessels so that the vessel exchangeability and the flexibility of fermentation operation are increased.