RNA sequencing reveals metabolic and regulatory changes leading to more robust fermentation performance during short-term adaptation of Saccharomyces cerevisiae to lignocellulosic inhibitors

  • Marlous van Dijk
  • , Peter Rugbjerg
  • , Yvonne Nygård
  • , Lisbeth Olsson*
  • *Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

Abstract

Background: The limited tolerance of Saccharomyces cerevisiae to inhibitors is a major challenge in second-generation bioethanol production, and our understanding of the molecular mechanisms providing tolerance to inhibitor-rich lignocellulosic hydrolysates is incomplete. Short-term adaptation of the yeast in the presence of dilute hydrolysate can improve its robustness and productivity during subsequent fermentation.

Results: We utilized RNA sequencing to investigate differential gene expression in the industrial yeast strain CR01 during short-term adaptation, mimicking industrial conditions for cell propagation. In this first transcriptomic study of short-term adaption of S. cerevisiae to lignocellulosic hydrolysate, we found that cultures respond by fine-tuned up- and down-regulation of a subset of general stress response genes. Furthermore, time-resolved RNA sequencing allowed for identification of genes that were differentially expressed at 2 or more sampling points, revealing the importance of oxidative stress response, thiamin and biotin biosynthesis. furan-aldehyde reductases and specific drug:H+ antiporters, as well as the down-regulation of certain transporter genes.

Conclusions: These findings provide a better understanding of the molecular mechanisms governing short-term adaptation of S. cerevisiae to lignocellulosic hydrolysate, and suggest new genetic targets for improving fermentation robustness.

Original languageEnglish
Article number201
JournalBiotechnology for Biofuels
Volume14
Issue number1
DOIs
Publication statusPublished - 15 Oct 2021
MoE publication typeA1 Journal article-refereed

Funding

Open access funding provided by Chalmers University of Technology. This research was supported by the Swedish Energy Agency (project nr 41252-1). LO and PR acknowledge the support by Novo Nordisk Fonden (NNF19OC0055044). The SNP&SEQ Technology Platform is supported by the Swedish Research Council and the Knut and Alice Wallenberg Foundation.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Industrial yeast strain
  • Inhibitor stress
  • Short-term adaptation
  • Transcriptomics
  • YHK8

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