scholarly journals Paradigm for industrial strain improvement identifies sodium acetate tolerance loci in Zymomonas mobilis and Saccharomyces cerevisiae

2010 ◽  
Vol 107 (23) ◽  
pp. 10395-10400 ◽  
Author(s):  
S. Yang ◽  
M. L. Land ◽  
D. M. Klingeman ◽  
D. A. Pelletier ◽  
T.-Y. S. Lu ◽  
...  
2020 ◽  
Author(s):  
Katsuya Fuchino ◽  
Per Bruheim

Abstract ObjectiveThe alphaproteobacterium Zymomonas mobilis is an efficient ethanol producer.Utilizing its distinctive physiological features, Z. mobilis-based biorefinery shows a great potential for an industrial biofuel production at large scale.Serial co-cultivation based adaptation that promotes species-interaction has been an emerging approach to improve or rewire metabolic features in industrially useful microorganisms by inducing frequent mutations. We applied this method to assess if adaptation to long term co-culture improves or rewire the desirable physiological features of Z. mobilis.ResultsWe have performed serial co-culture of Z. mobilis mixed with the baker yeast Saccharomyces cerevisiae. We observed filamentation of Z. mobilis cell in the co-culture, indicating that Z. mobilis cells were stressed due to the presence of competitor and that there appeared to be a selective pressure. After 50 times of serial transfers, we characterized the generated Z. mobilis strains. The analysis showed that long term co-culture did not drive significant changes in growth or excreted metabolites profile of generated strains. In line with this, whole genome sequencing of the generated Z. mobilis strains revealed only minor genetic variations from parental strain. The result indicates that co-culture method should be carefully optimized for Z. mobilis strain improvement.


2015 ◽  
Vol 9 (7) ◽  
pp. 8 ◽  
Author(s):  
Tri Widjaja ◽  
Ali Altway ◽  
Arief Widjaja ◽  
Umi Rofiqah ◽  
Rr Whiny Hardiyati Erlian

One form of economic development efforts for waste utilization in rural communities is to utilize stem sorghum to produce food grade ethanol. Sorghum stem juice with 150 g/L of sugar concentration was fermented using conventional batch process and cell immobilization continuous process with K-carrageenan as a supporting matrix. The microorganism used was Mutated Zymomonas Mobilis to be compared with a mixture of Saccharomyces Cerevisiae and Pichia Stipitis, and a mixture of Mutated Zymomonas Mobilis and Pichia Stipitis. Ethanol in the broth, result of fermentation process, was separated in packed distillation column. Distilate of the column, still contain water and other impurities, was flown into molecular sieve for dehydration and activated carbon adsorption column to remove the other impurities to meet food grade ethanol specification. The packing used in distillation process was steel wool. For batch fermentation, the fermentation using a combination of Saccharomyces Cerevisiae and Pichia Stipitis produced the best ethanol with 12.07% of concentration, where the yield and the productivity were 63.49%, and 1.06 g/L.h, respectively. And for continuous fermentation, the best ethanol with 9.02% of concentration, where the yield and the productivity were 47.42% and 174.27 g/L.h, respectively, is obtained from fermentation using a combination of Saccharomyces Cerevisiae and Pichia Stipitis also. Fermentation using combination microorganism of Saccharomyces Cerevisiae and Pichia Stipitis produced higher concentration of ethanol, yield, and productivity than other microorganisms. Distillation, molecular sieve dehydration and adsorption process is quite successful in generating sufficient levels of ethanol with relatively low amount of impurities.


2021 ◽  
Vol 10 (25) ◽  
Author(s):  
Masatoshi Tsukahara ◽  
Kotaro Ise ◽  
Maiko Nezuo ◽  
Haruna Azuma ◽  
Takeshi Akao ◽  
...  

We report here the draft genome sequence for Saccharomyces cerevisiae strain Awamori number 101, an industrial strain used for producing awamori, a distilled alcohol beverage. It was constructed by assembling the short reads obtained by next-generation sequencing. The 315 contigs constitute an 11.5-Mbp genome sequence coding 6,185 predicted proteins.


Author(s):  
Puspa Puspita ◽  
◽  
Chia-Wen Hsieh ◽  
Yao-Sheng Chang ◽  
◽  
...  

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