Disruption of ubiquitin-related genes in laboratory yeast strains enhances ethanol production during sake brewing

2009 ◽  
Vol 107 (6) ◽  
pp. 636-640 ◽  
Author(s):  
Hong Wu ◽  
Tomoko Watanabe ◽  
Yoshio Araki ◽  
Hiroshi Kitagaki ◽  
Takeshi Akao ◽  
...  
3 Biotech ◽  
2013 ◽  
Vol 3 (5) ◽  
pp. 345-352 ◽  
Author(s):  
Sabrina E. Martiniano ◽  
Anuj K. Chandel ◽  
Luma C. S. R. Soares ◽  
Fernando C. Pagnocca ◽  
Sílvio S. da Silva

2011 ◽  
Vol 365 ◽  
pp. 145-149
Author(s):  
Xun Men ◽  
Xiu Shan Yang ◽  
Shen Tian

Fermentation process for ethanol production from steam-exploded corn stover using toxin-tolerant yeast strains was carried out in order to reduce the water consumption and operation cost. The substrate from steam-exploded did not undergo a detoxification process by wash, and was directly hydrolyzed by enzymes. Two toxin-tolerant stains, Y1 and Y5, were tested to ferment the enzymatic hydrolysate slurry directly to ethanol. In the enzymatic hydrolysate slurry containing inhibitory compounds, the strain Y1 and Y5 could convert the sugar to ethanol with ethanol concentration of 47.0 g/L and 47.2 g/L corresponding to 95.9% and 96.4% of the theoretical maximum, respectively.


Sugar Tech ◽  
2019 ◽  
Vol 21 (2) ◽  
pp. 312-319
Author(s):  
Fernanda Leitão Vaz ◽  
Raquel de Fátima Rodrigues de Souza ◽  
Emmanuel Damilano Dutra ◽  
Bárbara Ribeiro Alves Alencar ◽  
Esteban Espinosa Vidal

1983 ◽  
Vol 5 (5) ◽  
pp. 351-356 ◽  
Author(s):  
Tatsuji Seki ◽  
Sanae Myoga ◽  
Savitree Limtong ◽  
Shozo Uedono ◽  
Jaroon Kumnuanta ◽  
...  

Sugar Tech ◽  
2013 ◽  
Vol 16 (1) ◽  
pp. 1-8 ◽  
Author(s):  
Sabrina E. Martiniano ◽  
Rafael R. Philippini ◽  
Anuj K. Chandel ◽  
Carlos A. Rosa ◽  
Fernando C. Pagnocca ◽  
...  

2020 ◽  
Vol 42 ◽  
pp. e43427
Author(s):  
Mayara Vieira Santos ◽  
Adriana Régia Marques Souza ◽  
Maria Carolina Santos Silva ◽  
Gabriel Luis Castiglioni

In the Brazilian industries, the inoculum used throughout the harvest of ethanol production consists of a combination of two or more yeast strains. The combination of yeasts may influence in the metabolic pathways of microorganisms and increase the yields and production rates of some compounds. In biotechnological processes with co-culture, one microorganism can prevail over the other. Therefore, the knowledge about how the population dynamics occurs during fermentation allows modifications in the process in order to obtain higher yields and to achieve greater fermentative efficiency. The aim of this study was to investigate the fermentation with synthetic sugar cane broth in co-culture of Saccharomyces cerevisiae strains CAT-1 and PE-2 followed by molecular fermentation monitoring. The concentration of biomass, ethanol, glycerol, acetic acid and residual sucrose were monitored to verify the influence of different combinations during the fermentation. The mixture of CAT-1 and PE-2 presented the highest ethanol production, with higher performance of fermentative parameters than pure cultures


mBio ◽  
2015 ◽  
Vol 6 (4) ◽  
Author(s):  
Luis Caspeta ◽  
Jens Nielsen

ABSTRACT A major challenge for the production of ethanol from biomass-derived feedstocks is to develop yeasts that can sustain growth under the variety of inhibitory conditions present in the production process, e.g., high osmolality, high ethanol titers, and/or elevated temperatures (≥40°C). Using adaptive laboratory evolution, we previously isolated seven Saccharomyces cerevisiae strains with improved growth at 40°C. Here, we show that genetic adaptations to high temperature caused a growth trade-off at ancestral temperatures, reduced cellular functions, and improved tolerance of other stresses. Thermotolerant yeast strains showed horizontal displacement of their thermal reaction norms to higher temperatures. Hence, their optimal and maximum growth temperatures increased by about 3°C, whereas they showed a growth trade-off at temperatures below 34°C. Computational analysis of the physical properties of proteins showed that the lethal temperature for yeast is around 49°C, as a large fraction of the yeast proteins denature above this temperature. Our analysis also indicated that the number of functions involved in controlling the growth rate decreased in the thermotolerant strains compared with the number in the ancestral strain. The latter is an advantageous attribute for acquiring thermotolerance and correlates with the reduction of yeast functions associated with loss of respiration capacity. This trait caused glycerol overproduction that was associated with the growth trade-off at ancestral temperatures. In combination with altered sterol composition of cellular membranes, glycerol overproduction was also associated with yeast osmotolerance and improved tolerance of high concentrations of glucose and ethanol. Our study shows that thermal adaptation of yeast is suitable for improving yeast resistance to inhibitory conditions found in industrial ethanol production processes. IMPORTANCE Yeast thermotolerance can significantly reduce the production costs of biomass conversion to ethanol. However, little information is available about the underlying genetic changes and physiological functions required for yeast thermotolerance. We recently revealed the genetic changes of thermotolerance in thermotolerant yeast strains (TTSs) generated through adaptive laboratory evolution. Here, we examined these TTSs’ physiology and computed their proteome stability over the entire thermal niche, as well as their preadaptation to other stresses. Using this approach, we showed that TTSs exhibited evolutionary trade-offs in the ancestral thermal niche, as well as reduced numbers of growth functions and preadaptation to other stresses found in ethanol production processes. This information will be useful for rational engineering of yeast thermotolerance for the production of biofuels and chemicals.


2002 ◽  
Vol 17 (3-5) ◽  
pp. 179-187 ◽  
Author(s):  
Hisayori Shigechi ◽  
Ken Uyama ◽  
Yasuya Fujita ◽  
Takeshi Matsumoto ◽  
Mitsuyoshi Ueda ◽  
...  

2011 ◽  
Vol 49 (5) ◽  
pp. 614-619 ◽  
Author(s):  
Mohammadreza Koushki ◽  
Mojtaba Jafari ◽  
Mohammadhosein Azizi

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