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RNA-seq transcriptomic analysis of green tea polyphenols regulation of differently expressed genes in Saccharomyces cerevisiae under ethanol stress

  • Lu Cheng
  • Xin Zhang
  • Xiaojie Zheng
  • Zufang Wu
  • Peifang WengEmail author
Original Paper

Abstract

Saccharomyces cerevisiae has been widely used to produce alcoholic beverages and bio-fuels; however, its performance is remarkably compromised by the increased ethanol concentration during the fermentation process. In this study, RNA-sequence analysis was used to investigate the protective effect of green tea polyphenols (GTP) on S. cerevisiae cells from ethanol-induced damage. GO and KEGG analysis showed that to deal with the stress of ethanol, large amounts of genes related to cell wall, cell membrane, basic metabolism and redox regulation were significantly differentially expressed (P < 0.05), while these undesired changes could be partly relieved by administration of GTP, suggesting its potential to enhance the ethanol tolerance of S. cerevisiae. The present study provided a global view of the transcriptomic changes of S. cerevisiae in response to the accumulation of ethanol and the treatment of GTP, which might deepen our understanding about S. cerevisiae and the fermentation process, and thus benefit the development of the bioethanol production industry.

Graphical abstract

Keywords

Green tea polyphenols Saccharomyces cerevisiae Ethanol stress Transcriptome 

Notes

Acknowledgements

This work was sponsored by the Key Research and Development Project of Zhejiang Province (2017C02039 and 2018C02047), and the K.C. Wong Magna Fund at Ningbo University.

Compliance with ethical standards

Conflict of interest

The authors declare no competing financial interest.

Supplementary material

11274_2019_2639_MOESM1_ESM.jpg (253 kb)
Supplementary material 1 Figure S1. Growth curves (OD600) of Sc131 with 10% (v/v) ethanol and GTP of different concentration added at the exponential phase after cultivated for 8 h (JPEG 253 kb)
11274_2019_2639_MOESM2_ESM.jpg (217 kb)
Supplementary material 2 Figure S2. Growth curves (OD600) of Sc131 with GTP of different concentration added at the exponential phase after cultivated for 8 h (JPEG 217 kb)
11274_2019_2639_MOESM3_ESM.jpg (204 kb)
Supplementary material 3 Figure S3. PCR validations of RNA-seq data (JPEG 203 kb)
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Supplementary material 4 Table S1. The comparison of genome statistics (XLSX 10 kb)
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Supplementary material 5 Table S2. DEGs between the ethanol and the control group (XLSX 66 kb)
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Supplementary material 6 Table S3. DEGs between the ethanol-GTP and the ethanol group (XLSX 54 kb)
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Supplementary material 7 Table S4. GO analysis of DEGs between the ethanol and the control group (XLSX 16 kb)
11274_2019_2639_MOESM8_ESM.xlsx (16 kb)
Supplementary material 8 Table S5. GO analysis of DEGs between the ethanol-GTP and the ethanol group (XLSX 15 kb)
11274_2019_2639_MOESM9_ESM.xlsx (14 kb)
Supplementary material 9 Table S6. KEGG analysis of DEGs between the ethanol and the control group (XLSX 13 kb)
11274_2019_2639_MOESM10_ESM.xlsx (13 kb)
Supplementary material 10 Table S7. KEGG analysis of DEGs between the ethanol-GTP and the ethanol group (XLSX 13 kb)

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Copyright information

© Springer Nature B.V. 2019

Authors and Affiliations

  1. 1.Department of Food ScienceRutgers UniversityNew BrunswickUSA
  2. 2.Department of Food Science and EngineeringNingbo UniversityNingboPeople’s Republic of China
  3. 3.Department of Agriculture and BiotechnologyWenzhou Vocational College of Science and TechnologyWenzhouPeople’s Republic of China

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