ArticleFEMS yeast research2016
Physiological responses to acid stress by Saccharomyces cerevisiae when applying high initial cell density.
Article in FEMS yeast research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed, 54 citations in OpenAlex.
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- Sporulation generates stress-dependent phenotypic variability in the heterothallic industrial Saccharomyces cerevisiae Ethanol Red.Scientific reports · 2026Article
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- Regulatory mechanism of Haa1p and Hap4p in Saccharomyces cerevisiae to mixed acetic acid and formic acid when fermenting mixed glucose and xylose.Microbial cell factories · 2025Article
- A transcriptomic atlas of acute stress response to low pH in multipleMicrobiology spectrum · 2024Article
- Installing xylose assimilation and cellodextrin phosphorolysis pathways in obese Yarrowia lipolytica facilitates cost-effective lipid production from lignocellulosic hydrolysates.Biotechnology for biofuels and bioproducts · 2023Article
- Optimization of Pinocembrin Biosynthesis inACS synthetic biology · 2023Article
- Cells Adapt to Resist Fluoride through Metabolic Deactivation and Intracellular Acidification.Chemical research in toxicology · 2022Article
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- Effect of brewery effluent inhibitors on Rhodotorula toruloides NCYC 921 cells grown in pure and mixed cultures at pH 4 and 6.Archives of microbiology · 2022Article
- QTL mapping of a Brazilian bioethanol strain links the cell wall protein-encoding gene GAS1 to low pH tolerance in S. cerevisiae.Biotechnology for biofuels · 2021Article
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- In Vitro Activity of Selected Phenolic Compounds against Planktonic and Biofilm Cells of Food-Contaminating Yeasts.Foods (Basel, Switzerland) · 2021Article
- Tolerance of Yarrowia lipolytica to inhibitors commonly found in lignocellulosic hydrolysates.BMC microbiology · 2021Article
- The Identification of Genetic Determinants of Methanol Tolerance in Yeast Suggests Differences in Methanol and Ethanol Toxicity Mechanisms and Candidates for Improved Methanol Tolerance Engineering.Journal of fungi (Basel, Switzerland) · 2021Article
- Enhanced lipid production byBiotechnology for biofuels · 2020Article
- Genome-Wide Identification of Genes Involved in General Acid Stress and Fluoride Toxicity inFrontiers in microbiology · 2020Article
- Changes in lipid metabolism convey acid tolerance inBiotechnology for biofuels · 2018Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
High initial cell density is used to increase volumetric productivity and shorten production time in lignocellulosic hydrolysate fermentation. Comparison of physiological parameters in high initial cell density cultivation of Saccharomyces cerevisiae in the presence of acetic, formic, levulinic and cinnamic acids demonstrated general and acid-specific responses of cells. All the acids studied impaired growth and inhibited glycolytic flux, and caused oxidative stress and accumulation of trehalose. However, trehalose may play a role other than protecting yeast cells from acid-induced oxidative stress. Unlike the other acids, cinnamic acid did not cause depletion of cellular ATP, but abolished the growth of yeast on ethanol. Compared with low initial cell density, increasing initial cell density reduced the lag phase and improved the bioconversion yield of cinnamic acid during acid adaptation. In addition, yeast cells were able to grow at elevated concentrations of acid, probable due to the increase in phenotypic cell-to-cell heterogeneity in large inoculum size. Furthermore, the specific growth rate and the specific rates of glucose consumption and metabolite production were significantly lower than at low initial cell density, which was a result of the accumulation of a large fraction of cells that persisted in a viable but non-proliferating state.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.