Applied Microbiology and Biotechnology

, Volume 102, Issue 16, pp 7071–7081 | Cite as

Comparative analysis of fermentation and enzyme expression profiles among industrial Saccharomyces cerevisiae strains

  • Kiyoka Uebayashi
  • Hiroshi Shimizu
  • Fumio Matsuda
Genomics, transcriptomics, proteomics


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.


Central carbon metabolism Targeted proteomics Saccharomyces cerevisiae Industrial yeasts Crabtree effect 



We thank Prof. Yoshihiro Toya (Osaka University), Dr. Kenshi Hayakawa, Mr. Takuya Izumi (Kaneka corporation), Mr. Sho Katsuragi, and Mr. Kei Shimizu (SETI K.K.) for helpful comments on this manuscript and for supplying the yeast strains. We also thank Ms. Atsumi Tomita (Osaka University), Dr. Ichiro Hirano, and Dr. Taito Ogura (Shimadzu Co.) for technical support for the targeted proteome analysis.

Authors’ contributions

KU and FM executed the bench procedures. KU and FM performed the proteome analysis. KU, FM, and HS analyzed the data. KU, FM, and HS wrote the manuscript. FM and HS designed and supervised the overall of research project. All authors have read and approved the final version of the manuscript.


This work was supported in part by Grants-in-Aid for Scientific Research (grant nos. 18K04851 and 17H06303).

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest.

Ethical approval

This article does not contain any studies with human participants or animals performed by any of the authors.

Supplementary material

253_2018_9128_MOESM1_ESM.pdf (3 mb)
ESM 1 (PDF 3113 kb)


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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Department of Bioinformatic Engineering, Graduate School of Information Science and TechnologyOsaka UniversitySuitaJapan

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