A transcriptome analysis of the ameliorate effect of Cyclocarya paliurus triterpenoids on ethanol stress in Saccharomyces cerevisiae

  • Yuhui Chen
  • Xin ZhangEmail author
  • Man Zhang
  • Jieyu Zhu
  • Zufang Wu
  • Xiaojie Zheng
Original Paper


Saccharomyces cerevisiae (S. cerevisiae) plays a critical role in ethanol fermentation. However, during the fermentation, yeast cells are exposed to the accumulation of ethanol, which significantly affect the cell growth and the target product yield. In the present work, we employed RNA-sequence (RNA-seq) to investigate the ameliorate effect of Cyclocarya paliurus (C. paliurus) triterpenoids on S. cerevisiae under the ethanol stress. After C. paliurus triterpenoids intervention (0.3% v/v), 84 differentially expressed genes (DEGs) were identified, including 39 up-regulated and 45 down-regulated genes. The addition of triterpenoids decreased the filamentous and invasive growth of cells, and benefit to the redox balance and glycolysis. This study offers a global view through transcriptome analysis to understand the molecular response to ethanol in Sc131 by the treatment of C. paliurus triterpenoids, which may be helpful to enhance ethanol tolerance of S. cerevisiae in the fermentation of Chinese fruit wine.

Graphical abstract


Transcriptome Saccharomyces cerevisiae Ethanol stress Cyclocarya paliurus Triterpenoids 



This work was sponsored by Key Research and Development Project of Zhejiang Province (2017C02039 and 2018C02047), People-benefit Project of Ningbo (2015C10061) and K.C. Wong Magna Fund in Ningbo University.

Compliance with ethical standards

Conflict of interest

Authors declare no conflict of interest.

Supplementary material

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Figure S1. GO analysis of DEGs between the ethanol and the control group. (JPG 1306 KB)
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Table S1. DEGs between the ethanol and the control group. (XLSX 138 KB)
11274_2018_2561_MOESM3_ESM.xlsx (146 kb)
Table S2. DEGs between the ethanol-CPT and the ethanol group. (XLSX 146 KB)
11274_2018_2561_MOESM4_ESM.xlsx (17 kb)
Table S3. GO analysis of DEGs between the ethanol and the control group. (XLSX 16 KB)
11274_2018_2561_MOESM5_ESM.xlsx (16 kb)
Table S4. GO analysis of DEGs between the ethanol-CPT and the ethanol group. (XLSX 16 KB)
11274_2018_2561_MOESM6_ESM.xlsx (13 kb)
Table S5. KEGG analysis of DEGs between the ethanol and the control group. (XLSX 13 KB)
11274_2018_2561_MOESM7_ESM.xlsx (13 kb)
Table S6. KEGG analysis of DEGs between the ethanol-CPT and the ethanol group. (XLSX 13 KB)


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Copyright information

© Springer Nature B.V. 2018

Authors and Affiliations

  1. 1.Department of Food Science and Engineering, School of Marine SciencesNingbo UniversityNingboPeople’s Republic of China
  2. 2.Department of Food ScienceRutgers UniversityNew BrunswickUSA
  3. 3.Department of Agriculture and BiotechnologyWenzhou Vocational College of Science and TechnologyWenzhouPeople’s Republic of China

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