Genome-wide effect of non-optimal temperatures under anaerobic conditions on gene expression in Saccharomyces cerevisiae

Journal Article (2022)
Author(s)

Estéfani García-Ríos (Institute of Agrochemistry and Food Technology, University of Valencia)

Javier Alonso-del-Real (Institute of Agrochemistry and Food Technology)

Ka Ying Florence Lip (TU Delft - BT/Biotechnology and Society)

Tania Pinheiro (University of Minho)

José Teixeira (University of Minho)

Walter van Gulik (TU Delft - BT/Industriele Microbiologie)

Lucília Domingues (University of Minho)

Amparo Querol (Institute of Agrochemistry and Food Technology)

José Manuel Guillamón (Institute of Agrochemistry and Food Technology)

DOI related publication
https://doi.org/10.1016/j.ygeno.2022.110386 Final published version
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Publication Year
2022
Language
English
Journal title
Genomics
Issue number
4
Volume number
114
Article number
110386
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326
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Abstract

Understanding of thermal adaptation mechanisms in yeast is crucial to develop better-adapted strains to industrial processes, providing more economical and sustainable products. We have analyzed the transcriptomic responses of three Saccharomyces cerevisiae strains, a commercial wine strain, ADY5, a laboratory strain, CEN.PK113-7D and a commercial bioethanol strain, Ethanol Red, grown at non-optimal temperatures under anaerobic chemostat conditions. Transcriptomic analysis of the three strains revealed a huge complexity of cellular mechanisms and responses. Overall, cold exerted a stronger transcriptional response in the three strains comparing with heat conditions, with a higher number of down-regulating genes than of up-regulating genes regardless the strain analyzed. The comparison of the transcriptome at both sub- and supra-optimal temperatures showed the presence of common genes up- or down-regulated in both conditions, but also the presence of common genes up- or down-regulated in the three studied strains. More specifically, we have identified and validated three up-regulated genes at sub-optimal temperature in the three strains, OPI3, EFM6 and YOL014W. Finally, the comparison of the transcriptomic data with a previous proteomic study with the same strains revealed a good correlation between gene activity and protein abundance, mainly at low temperature. Our work provides a global insight into the specific mechanisms involved in temperature adaptation regarding both transcriptome and proteome, which can be a step forward in the comprehension and improvement of yeast thermotolerance.