| Title |
Comparative analysis of fermentation and enzyme expression profiles among industrial Saccharomyces cerevisiae strains
|
|---|---|
| Published in |
Applied Microbiology and Biotechnology, June 2018
|
| DOI | 10.1007/s00253-018-9128-9 |
| Pubmed ID | |
| Authors |
Kiyoka Uebayashi, Hiroshi Shimizu, Fumio Matsuda |
| Abstract |
Industrial diploid strains of Saccharomyces cerevisiae are selected from natural populations and then domesticated by optimizing the preferred properties for producing products such as bread, wine, and sake. In this study, for comparing the fermentation performance of various industrial yeasts, seven diploid strains of S. cerevisiae, namely, BY4947 (laboratory yeast derived from S288C), Kyokai7 and Kyokai9 (sake yeasts), Red Star and NBRC0555 (bread yeasts), and QA23 and EC1118 (wine yeasts), were cultivated in a synthetic medium. The fermentation profiles of the seven yeast strains showed significant differences. The specific ethanol production rates of sake yeasts (Kyokai7 and Kyokai9) and wine strains (QA23 and EC1118) were higher and lower than those of laboratory strains, respectively. Targeted proteome analysis was also conducted to investigate the variation in the expression of metabolism-related enzymes. The expression profiles of central metabolism-related enzymes showed considerable variations among the industrial strains. Upregulation of the TCA cycle in wine strains was observed both in the synthetic and grape-juice media. These results suggested that these variations should be consequences of complex interactions between the domestication process, genetic polymorphism, and environmental factors such as the fermentation conditions. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 33% |
| France | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 33 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 21% |
| Student > Master | 5 | 15% |
| Student > Bachelor | 3 | 9% |
| Professor > Associate Professor | 2 | 6% |
| Student > Ph. D. Student | 2 | 6% |
| Other | 4 | 12% |
| Unknown | 10 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 8 | 24% |
| Agricultural and Biological Sciences | 8 | 24% |
| Chemistry | 2 | 6% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
| Immunology and Microbiology | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 12 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 16 June 2018.
All research outputs
#14,273,666
of 24,119,703 outputs
Outputs from Applied Microbiology and Biotechnology
#5,289
of 8,034 outputs
Outputs of similar age
#172,362
of 333,481 outputs
Outputs of similar age from Applied Microbiology and Biotechnology
#70
of 159 outputs
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