Metabolic responses of<i>Saccharomyces cerevisiae</i>to ethanol stress using gas chromatography-mass spectrometry

Ming, Ming; Wang, Xiyue; Lian, Lili; Zhang, Hao; Gao, Wenxiu; Zhu, Bo; Lou, Dawei

doi:10.1039/c9mo00055k

Cited by 18 publications

(8 citation statements)

References 41 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This led to reduced biogenic amine production, which is in agreement with a previous study indicating that Lactobacillus plantarum activation increases amino acid catabolism (via serine, threonine, and histidine metabolism, lysine degradation, and arginine responses to glucose-limited stress; He et al, 2018;Pan et al, 2019). Saccharomyces cerevisiae metabolic pathway regulation of the citrate cycle and alanine, aspartate, and glutamate metabolisms occur in response to ethanol stress (Ming et al, 2019).…”

Section: Analysis Of the Metabolic Network Of L Lactissupporting

confidence: 92%

Integrated metabonomic-proteomic analysis reveals the effect of glucose stress on metabolic adaptation of Lactococcus lactis ssp. lactis CICC23200

Guo

et al. 2020

Journal of Dairy Science

View full text Add to dashboard Cite

A combined proteomic and metabonomic approach was used to investigate the metabolism of Lactococcus lactis ssp. lactis subjected to glucose stress treatment. A proteomic method was used to determine 1,427 altered proteins, including 278 proteins with increased expression and 255 proteins with decreased expression. A metabonomic approach was adopted to identify 98 altered metabolites, including 62 metabolites with increased expression and 26 metabolites with decreased expression. The integrated analysis indicated that the RNA and DNA mismatch repair process and energy metabolism were enhanced in response to high-glucose stress in L. lactis. Lactococcus lactis responded to glucose stress by up-regulating oxidoreductase activity, which acted on glycosyl bonds, hydrolase activity, and organic acid transmembrane transporter activity. This led to an improvement in the metabolic flux from glucose to pyruvate, lactate, acetate, and maltose. Downregulation of amino acid transmembrane transporter, aminoacyl-transfer RNA ligase, hydroxymethyl-, formyl-, and related transferase activities resulted in a decrease in the nitrogen metabolism-associated metabolic pathway, which might be related to inhibition of the production of biogenic amines. Overall, we highlight the response of metabolism to glucose stress and provide potential possibilities for the reduced formation of biogenic amines in improved level of sugar in the dairy fermentation industry. Moreover, according to the demand for industrial production, sugar concentration in fermented foods should be higher, or lower, than a set value that is dependent on bacterial strain and biogenic amine yield.

show abstract

Section: Analysis Of the Metabolic Network Of L Lactissupporting

confidence: 92%

Integrated metabonomic-proteomic analysis reveals the effect of glucose stress on metabolic adaptation of Lactococcus lactis ssp. lactis CICC23200

Guo

et al. 2020

Journal of Dairy Science

View full text Add to dashboard Cite

show abstract

“…Acetyl-CoA enters into the TCA cycle in mitochondria to generate energy (Swiegers et al 2001; Franken et al 2008). Metabolomics, GWAS, and networks data evidenced the association between TCA and EtOH stress (Ming et al 2019; Kang et al 2019). Many data evidenced the activation of the TCA cycle in all strains analyzed here.…”

Section: Discussionmentioning

confidence: 99%

The ethanol tolerance in Saccharomyces cerevisiae under a phenomics perspective

Wolf

Marques

Almeida

et al. 2021

Preprint

View full text Add to dashboard Cite

Ethanol (EtOH) is a substantial stressor for Saccharomyces cerevisiae. Data integration from strains with different phenotypes, including EtOH stress-responsive lncRNAs, are still not available. We covered these issues seeking systems modifications that drive the divergences between higher (HT) and lower (LT) EtOH tolerant strains under their highest stress conditions. We showed that these phenotypes are neither related to high viability nor faster population rebound after stress relief. LncRNAs work on many stress-responsive systems in a strain-specific manner promoting the EtOH tolerance. Cells use membraneless RNA/protein storage and degradation systems to endure the stress harming, and lncRNAs jointly promote EtOH tolerance. CTA1 and longevity are primer systems promoting phenotype-specific gene expression. The lower cell viability and growth under stress is a byproduct of sphingolipids and inositol phosphorylceramide dampening, acerbated in HTs by sphinganine, ERG9, and squalene overloads; LTs diminish this harm by accumulating inositol 1-phosphate. The diauxic shift drives an EtOH buffering by promoting an energy burst under stress, mainly in HTs. Analysis of mutants showed genes and lncRNAs in three strains critical for their EtOH tolerance. Finally, longevity, peroxisome, energy and lipid metabolisms, RNA/protein degradation and storage systems are the main pathways driving the EtOH tolerance phenotypes.

show abstract

“…Metabolomic analysis based on LC/MS identified a total of 143 metabolites with known structures ( Supplementary Table S1). This is the first report describing the metabolites produced by resting S. cerevisiae cells as a short-term ethanol response, whereas the metabolomic insights reported to date on ethanol stress in S. cerevisiae were applied only on cells growing in the presence of ethanol [23,[25][26][27].…”

Section: Metabolomic Changes Induced By δ-Integrationmentioning

confidence: 99%

“…Although profuse efforts have been spent at genetic, transcriptional and metabolomic levels, the precise mechanism of ethanol tolerance is not completely revealed [23,24] and a more holistic and in-depth understanding of ethanol tolerance in S. cerevisiae is crucial to support novel yeast metabolic engineering methodologies and improve ethanol production. Metabolomics has been gradually applied in investigating the cellular stress responses to ethanol [25][26][27]. As such, metabolites in pathways of interest can be unbiasedly characterized to enlighten the effects of perturbation by metabolic profiling, which has been considered to provide useful information for yeast cells' stress responses.…”

Section: Introductionmentioning

confidence: 99%

Delta-Integration of Single Gene Shapes the Whole Metabolomic Short-Term Response to Ethanol of Recombinant Saccharomyces cerevisiae Strains

et al. 2020

View full text Add to dashboard Cite

In yeast engineering, metabolic burden is often linked to the reprogramming of resources from regular cellular activities to guarantee recombinant protein(s) production. Therefore, growth parameters can be significantly influenced. Two recombinant strains, previously developed by the multiple δ-integration of a glucoamylase in the industrial Saccharomyces cerevisiae 27P, did not display any detectable metabolic burden. In this study, a Fourier Transform InfraRed Spectroscopy (FTIR)-based assay was employed to investigate the effect of δ-integration on yeast strains' tolerance to the increasing ethanol levels typical of the starch-to-ethanol industry. FTIR fingerprint, indeed, offers a holistic view of the metabolome and is a well-established method to assess the stress response of microorganisms. Cell viability and metabolomic fingerprints have been considered as parameters to detecting any physiological and/or metabolomic perturbations. Quite surprisingly, the three strains did not show any difference in cell viability but metabolomic profiles were significantly altered and different when the strains were incubated both with and without ethanol. A LC/MS untargeted workflow was applied to assess the metabolites and pathways mostly involved in these strain-specific ethanol responses, further confirming the FTIR fingerprinting of the parental and recombinant strains. These results indicated that the multiple δ-integration prompted huge metabolomic changes in response to short-term ethanol exposure, calling for deeper metabolomic and genomic insights to understand how and, to what extent, genetic engineering could affect the yeast metabolome.

show abstract

Metabolic responses ofSaccharomyces cerevisiaeto ethanol stress using gas chromatography-mass spectrometry

Abstract: Metabolic responses of Saccharomyces cerevisiae under ethanol stress by a metabolomics method based on GC-MS.

Cited by 18 publications

References 41 publications

Integrated metabonomic-proteomic analysis reveals the effect of glucose stress on metabolic adaptation of Lactococcus lactis ssp. lactis CICC23200

Integrated metabonomic-proteomic analysis reveals the effect of glucose stress on metabolic adaptation of Lactococcus lactis ssp. lactis CICC23200

The ethanol tolerance in Saccharomyces cerevisiae under a phenomics perspective

Delta-Integration of Single Gene Shapes the Whole Metabolomic Short-Term Response to Ethanol of Recombinant Saccharomyces cerevisiae Strains

Contact Info

Product

Resources

About