Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2023 Mar 24;9(4):e14838.
doi: 10.1016/j.heliyon.2023.e14838. eCollection 2023 Apr.

Improving Saccharomyces cerevisiae acid and oxidative stress resistance using a prokaryotic gene identified by functional metagenomics

Affiliations

Improving Saccharomyces cerevisiae acid and oxidative stress resistance using a prokaryotic gene identified by functional metagenomics

Luana de Fátima Alves et al. Heliyon. .

Abstract

Innovations in obtaining products from lignocellulosic biomass have been largely based on the improvement of microorganisms and enzymes capable of degrading these materials. To complete the whole process, microorganisms must be able to ferment the resulting sugars and tolerate high concentrations of product, osmotic pressure, ion toxicity, temperature, toxic compounds from lignocellulose pretreatment, low pH, and oxidative stress. In this work, we engineered laboratory and industrial Saccharomyces cerevisiae strains by combining a gene (hu) recovered from a metagenomic approach with different native and synthetic promoters to obtain improved acid and oxidative stress resistance. Laboratorial strains harboring hu gene under the control of the synthetic stress responsive PCCW14v5 showed increased survival rates after 2 h exposure to pH 1.5. The hu gene was also able to significantly enhance the tolerance of the industrial strain to high concentrations of H2O2 when combined with PTEF1, PYGP1 or PYGP1v7 after 3 h exposure.

Keywords: Low pH; Metagenomics; Oxidative stress; Stress-responsive promoters; Yeast engineering.

PubMed Disclaimer

Conflict of interest statement

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Figures

Fig. 1
Fig. 1
Schematic representation of the pCfB general vector backbone showing the cassettes cloned in the USER site. Functional elements of the plasmid backbone are shown: AmpR, ampicillin resistance gene; pUC ori, origin of replication for E.coli; ADH1t and CYC1t, transcriptional terminators; UP and DOWN, integration targeting sequences; loxP, sites that allow marker rescue mediated by CreA site-specific recombinase; NotI, restriction sites recognized by the endonuclease NotI; Marker cassette, Klleu2 (auxotrophic marker in pCfB2192 – used in CEN.PK113-32D strain) and kanMX (resistance to G418 in pCfB2225 – used in Ethanol red strain). Cloned in the USER site is the hu gene under control of constitutive promoter PTEF1 or the stress-responsive promoters PYGP1, PYGP1v7, or PCCW14v5. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 2
Fig. 2
Survival rates of S. cerevisiae CEN.PK113-32D and Ethanol red strains after exposure to extremely low pH. Survival percentages of the engineered S. cerevisiae CEN.PK113-32D harboring hu gene under control of four different promoters after A. 1 h and B. 2 h exposure to pH 1.5. Survival percentages of the engineered S. cerevisiae Ethanol red harboring hu gene under control of four different promoters after C. 1 h and D. 2 h exposure to pH 1.5. The boundaries of the boxes indicate the 25th and 75th percentiles; the lines within the boxes indicate the median, and the whiskers mark the minimum and maximum values obtained. “+” indicate the means. P-values comparing promoters with empty cassette values (t-test) are shown in the graphics when P < 0.05. The experiments were carried out in YNB media pH 1.5 supplemented with 2% glucose and without selective pressure. Independent experiments were carried out at least three times. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 3
Fig. 3
Survival rates of S. cerevisiae CEN.PK113-32D and Ethanol red strains after exposure to H2O2. A. Survival percentages of the engineered S. cerevisiae CEN.PK113-32D harboring hu gene under control of four different promoters after 3 h exposure to H2O2 2.5 mM. B. Survival percentages of the engineered S. cerevisiae Ethanol red harboring hu gene under control of four different promoters after 3 h exposure to H2O2 11.5 mM. The boundaries of the boxes indicate the 25th and 75th percentiles; the lines within the boxes indicate the median, and the whiskers mark the minimum and maximum values obtained. “+” indicate the means. P-values comparing promoters with empty cassette values (t-test) are shown in the graphics when P < 0.05. The experiments were carried out in YNB media supplemented with 2% glucose and without selective pressure. Independent experiments were carried out at least three times. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)
Fig. 4
Fig. 4
Glucose consumption and ethanol production during fermentation/recycling cycles. S. cerevisiae CEN.PK113-32D control (harboring empty cassette – in absence of gene and promoters) and engineered with hu gene under the control of TEF1 and CCW14v5 promoters showing A. glucose consumption and B. ethanol production on fermentation/recycling cycles 1, 6 and 10 after 6 h of fermentation. C. Glucose consumption and D. ethanol production in cycle 11 (after 1 week of acid treatment) after 24 and 48 h fermentation. Independent experiments were carried out in biological triplicates.

References

    1. Wang J., Feng L., Tang X., Bentley Y., Höök M. The implications of fossil fuel supply constraints on climate change projections: a supply-side analysis. Futures. 2017;86:58–72. doi: 10.1016/j.futures.2016.04.007. - DOI
    1. Mussatto S.I., Yamakawa C.K., van der Maas L., Dragone G. New trends in bioprocesses for lignocellulosic biomass and CO2 utilization. Renew. Sustain. Energy Rev. 2021;152 doi: 10.1016/j.rser.2021.111620. - DOI
    1. Nizami A.S., Rehan M., Waqas M., Naqvi M., Ouda O.K.M., Shahzad K., Miandad R., Khan M.Z., Syamsiro M., Ismail I.M.I., Pant D. Waste biorefineries: enabling circular economies in developing countries. Bioresour. Technol. 2017;241:1101–1117. doi: 10.1016/j.biortech.2017.05.097. - DOI - PubMed
    1. Dragone G., Kerssemakers A.A.J., Driessen J.L.S.P., Yamakawa C.K., Brumano L.P., Mussatto S.I. Innovation and strategic orientations for the development of advanced biorefineries. Bioresour. Technol. 2020;302 doi: 10.1016/j.biortech.2020.122847. - DOI - PubMed
    1. Caspeta L., Castillo T., Nielsen J. Modifying yeast tolerance to inhibitory conditions of ethanol production processes. Front. Bioeng. Biotechnol. 2015;3:1–15. doi: 10.3389/fbioe.2015.00184. - DOI - PMC - PubMed

LinkOut - more resources