Engineering glutathione biosynthesis of Saccharomyces cerevisiae increases robustness to inhibitors in pretreated lignocellulosic materials
© Ask et al.; licensee BioMed Central Ltd. 2013
Received: 10 July 2013
Accepted: 26 September 2013
Published: 1 October 2013
Production of bioethanol from lignocellulosic biomass requires the development of robust microorganisms that can tolerate the stressful conditions prevailing in lignocellulosic hydrolysates. Several inhibitors are known to affect the redox metabolism of cells. In this study, Saccharomyces cerevisiae was engineered for increased robustness by modulating the redox state through overexpression of GSH1, CYS3 and GLR1, three genes involved in glutathione (GSH) metabolism.
Overexpression constructs were stably integrated into the genome of the host strains yielding five strains overexpressing GSH1, GSH1/CYS3, GLR1, GSH1/GLR1 and GSH1/CYS3/GLR1. Overexpression of GSH1 resulted in a 42% increase in the total intracellular glutathione levels compared to the wild type. Overexpression of GSH1/CYS3, GSH1/GLR1 and GSH1/CYS3/GLR1 all resulted in equal or less intracellular glutathione concentrations than overexpression of only GSH1, although higher than the wild type. GLR1 overexpression resulted in similar total glutathione levels as the wild type. Surprisingly, all recombinant strains had a lower [reduced glutathione]:[oxidized glutathione] ratio (ranging from 32–67) than the wild type strain (88), suggesting a more oxidized intracellular environment in the engineered strains. When considering the glutathione half-cell redox potential (Ehc), the difference between the strains was less pronounced. Ehc for the recombinant strains ranged from -225 to -216 mV, whereas for the wild type it was estimated to -225 mV. To test whether the recombinant strains were more robust in industrially relevant conditions, they were evaluated in simultaneous saccharification and fermentation (SSF) of pretreated spruce. All strains carrying the GSH1 overexpression construct performed better than the wild type in terms of ethanol yield and conversion of furfural and HMF. The strain overexpressing GSH1/GLR1 produced 14.0 g L-1 ethanol in 48 hours corresponding to an ethanol yield on hexoses of 0.17 g g-1; while the wild type produced 8.2 g L-1 ethanol in 48 hours resulting in an ethanol yield on hexoses of 0.10 g g-1.
In this study, we showed that engineering of the redox state by modulating the levels of intracellular glutathione results in increased robustness of S. cerevisiae in SSF of pretreated spruce.
KeywordsLignocellulose Bioethanol Inhibitors Robustness Glutathione Redox metabolism
In order to cope with the stressful conditions in industrial fermentations, robust microorganisms are needed. This applies especially for the production of bioethanol from lignocellulosic feedstocks such as agricultural and forest residues. The recalcitrant nature of these materials requires harsh pretreatment methods, which aside from imposing structural changes facilitating enzymatic hydrolysis generate compounds acting as inhibitors for cellulolytic enzymes as well as microorganisms. Apart from organic acids and phenolic compounds, the furan aldehydes 5-hydroxymethylfurfural (HMF) and 2-furaldehyde (furfural) stand out as particularly challenging for viable production of lignocellulosic ethanol. These compounds have been shown to inhibit several enzymes in glycolysis, decrease specific ethanol production rate, affect cell growth and survival and to induce the formation of reactive oxygen species (ROS) in Saccharomyces cerevisiae, with DNA and membrane damage as a consequence[4–7]. Under anaerobic conditions, HMF and furfural are converted in situ to less toxic alcohols by NAD(P)H-dependent oxidoreductases[8, 9]. Both the detoxification of ROS and the conversion of HMF and furfural per se, create a more oxidized intracellular environment by draining the cells of reducing power in terms of NAD(P)H, and potentially obliterate the antioxidant defense system of the cell.
Based on these evidences, we hypothesized the intracellular redox system as a potential metabolic engineering target for increasing robustness of S. cerevisiae to lignocellulosic inhibitors.
Glutathione (GSH) is the main antioxidant system in living cells and has been shown to be indispensable for, but not limited to, oxidative stress responses[5, 11, 12]. By virtue of its high intracellular concentration and low redox potential (-240 mV), GSH has been regarded as a biological redox buffer maintaining redox homeostasis in spite of insults caused by oxidizing agents. Its many functions include: scavenging of ROS, protection against endogenous toxic metabolites, detoxification of xenobiotics and involvement in sulfur and nitrogen metabolism (reviewed in).
GSH is a tripeptide composed of cysteine, glutamate and glycine, in which the thiol (-SH) group of the cysteine residue confers the activity to the molecule. GSH occurs intracellularly in either its reduced form (GSH) or in its oxidized form (GSSG) where two GSH molecules are interlinked with a disulfide bond. Utilization of GSH results in the oxidation to its disulfide form, GSSG, from which GSH can be regenerated by the action of glutathione reductase, encoded by GLR1. Glr1p uses NADPH as reducing equivalents donor, thus maintaining a high cytosolic GSH:GSSG ratio of 30 – 100:1[15, 16]. This provides a reducing intracellular environment, which is thought to retain the oxidation-sensitive thiol groups of cysteine residues of proteins in a reduced state. Overexpression of glutathione reductase from Oryza sativa and Brassica rapa in S. cerevisiae has recently been shown to increase tolerance against oxidative stress induced by H2O2 and abiotic stresses such as heavy metals[18, 19].
In the present study, we investigated if engineering of the cell’s antioxidant system by overexpression of three genes (GSH1, CYS3 and GLR1) involved in the metabolism of the endogenous antioxidant glutathione could alleviate the toxic effects induced by lignocellulose-derived inhibitors, and thereby enhance robustness of S. cerevisiae for lignocellulosic hydrolysate fermentation. After confirming that the recombinant strains had altered redox characteristics by quantifying the intracellular glutathione levels, we show that the strains engineered for higher intracellular glutathione levels have superior robustness under process-like conditions in a simultaneous saccharification and fermentation (SSF) setup.
Several inhibitors generated during pretreatment of lignocellulosic biomass are known to influence the redox balance of the fermenting organism. In the present study, the redox state of S. cerevisiae was modified by modulating the intracellular levels of glutathione by overexpressing three genes involved in glutathione biosynthesis and metabolism: GSH1, CYS3 and GLR1 (Figure 1). The mutant strains were then evaluated in simultaneous saccharification and fermentation of spruce.
Growth performance and intracellular glutathione concentration of recombinant strains
Strains used and constructed in the study
MATa, MAL2-8 c , SUC2
ura3-52::URA3-TDH3p-GSH1-CYC1t, MATa, MAL2-8 c , SUC2
ura3-52::URA3-TDH3p-GSH1-CYC1t, leu2-3,112::LEU2-TPI1-CYS3-CYC1t, MATa, MAL2-8 c , SUC2
trp1-289::TRP1-TDH3p-GLR1-CYC1t, MATa, MAL2-8 c , SUC2
ura3-52::URA3-TDH3p-GSH1-CYC1t, trp1-289::TRP1-TDH3p-GLR1-CYC1t, MATa, MAL2-8 c , SUC2
ura3-52::URA3-TDH3p-GSH1-CYC1t, leu2-3,112::LEU2-TPI1-CYS3-CYC1t, trp1-289::TRP1-TDH3p-GLR1-CYC1t MATa, MAL2-8 c , SUC2
Maximum specific growth rate and intracellular concentrations of total, reduced and oxidized glutathione in the strains in this study
Total glutathione (μmol g DW-1)
GSH (μmol g DW-1)
GSSG (μmol g DW-1)
0.40 ± 0.01
8.8 ± 0.7
8.7 ± 0.7
0.10 ± 0.01
-225 ± 2
88 ± 10
0.36 ± 0.01
12.5 ± 2.0
12.2 ± 2.0
0.33 ± 0.03
-218 ± 5
37 ± 8
0.37 ± 0.00
12.5 ± 0.3
12.1 ± 0.3
0.38 ± 0.04
-216 ± 1
32 ± 3
0.39 ± 0.00
8.9 ± 1.1
8.8 ± 1.1
0.13 ± 0.01
-221 ± 4
67 ± 9
0.34 ± 0.00
11.3 ± 1.4
11.0 ± 1.4
0.29 ± 0.03
-217 ± 2
37 ± 1
0.37 ± 0.01
12.2 ± 0.3
12.0 ± 0.2
0.19 ± 0.03
-225 ± 1
62 ± 7
The intracellular levels of glutathione can be used to characterize the state of the intracellular redox environment. Two principal approaches have been used for this purpose: the [GSH]:[GSSG] ratio and the GSSG/2GSH half-cell potential (Ehc).
The [GSH]:[GSSG] ratio varied considerably among the strains (Table 2). The highest ratio was observed in the wild type, where it was estimated to be 88. Overexpression of GSH1 resulted in a decrease of the ratio to 37. Although glutathione reductase catalyzes the conversion of GSSG to GSH, overexpression of this gene did not result in a higher [GSH]:[GSSG] ratio than the wild type. In fact, the ratio was estimated to 67, thus 24% lower than the value for CEN.PK 113-7D. Surprisingly, GSH1 overexpression in combination with GLR1 did not change the ratio compared to the strain where only GSH1 was overexpressed, and consequently it remained at a low level compared to the wild type strain. The lowest ratio (i.e. 32) was observed in the strain overexpressing GSH1 and CYS3. When all three genes were overexpressed in the same strain, the [GSH]:[GSSH] ratio was restored to a similar level as the strain overexpressing only GLR1, but the ratio was still significantly lower than for the wild type.
Ehc can be calculated from the Nernst equation after determination of the intracellular concentrations of reduced and oxidized glutathione (see methods section). The estimated Ehc values are listed in Table 2. The half-cell redox potentials for the strains overexpressing GSH1/GLR1 and GSH1/CYS3 were significantly higher than the wild type, indicating a more oxidizing environment in these strains. The Ehc values estimated for the other strains were not statistically different from the wild type.
Evaluation of strains in simultaneous saccharification and fermentation
Composition of pretreated spruce at 10% (w/w) WIS
Concentration [g L-1]
Results from SSF of pretreated spruce with the strains constructed in the present study
Ethanol yield on hexosesa(g g-1)
Ethanol concentration at 48 h (g L-1)
0.10 ± 0.00
8.2 ± 0.0
0.16 ± 0.00
13.7 ± 0.2
0.16 ± 0.00
13.1 ± 0.3
0.07 ± 0.00
6.0 ± 0.0
0.17 ± 0.01
14.0 ± 1.0
0.14 ± 0.00
12.3 ± 0.2
In the present work we show that by increasing the intracellular concentration of glutathione, strain robustness could be improved in industrially relevant conditions posed by pretreated spruce in an SSF process. As a mechanism for the improved robustness, we hypothesize a redox buffering capacity potentiating effect, originating from the increased availability of reduced glutathione. The enhanced redox buffering capacity would confer higher inherent capability of the intracellular environment to titrate cofactor consuming exogenous molecules. Indeed, at the time of writing this article, it was reported that furan aldehydes, and in particular furfural, depleted the intracellular pool of glutathione. This fact further corroborates the hypothesis of the redox potentiating effects of increasing the intracellular concentration of GSH. In the same paper, it was shown that overexpression of GSH1 resulted in a decreased lag-phase of growth in the presence of furfural, whereas no effect was observed in the case of HMF. In fact, similar strategies, such as overproduction of the intracellular protective metabolite and ROS scavenger ascorbic acid, have been shown to increase robustness to various environmental stresses. It is known that inhibitors such as HMF and furfural not only drain microorganisms of reducing power, but have also been shown to induce the generation of reactive oxygen species in S. cerevisiae[5, 10].
Quantification of the [GSH]:[GSSG] ratio and the half-cell redox potential Ehc were used to assess the magnitude of the changes in intracellular redox environment upon overexpressing genes involved in the glutathione biosynthesis pathway. Ehc, which is calculated from the Nernst equation (see Methods section), has been reported to be a more reliable method, as the stoichiometry of the glutathione redox couple (GSSG + 2H++2e- → 2GSH) is taken into account[13, 15, 31]. Ehc is thus dependent on both the [GSH]:[GSSG] ratio and the absolute concentration of GSH, which means that cells having the same [GSH]:[GSSG] ratios can have different redox potentials depending on the concentration of GSH. Consequently, cells with a high concentration of intracellular reduced glutathione have a higher buffering capacity against oxidative insults than cells with a lower concentration of reduced glutathione.
Although overexpression of GSH1 increased the intracellular levels of reduced glutathione, unexpectedly none of the recombinant strains had a more reducing intracellular environment compared to the wild type when grown in defined mineral medium (as it would be indicated by a higher [GSH]:[GSSG] ratio and/or a lower Ehc). In fact, the ultimate reason for the higher estimates of Ehc in these strains was indeed the higher intracellular concentration of GSSG in all recombinant strains harboring the GSH1 overexpression construct. However, it has been shown in a recent study that the cytosolic glutathione redox potential was independent of changes in whole-cell GSSG levels due to compartmentalization of GSSG. The GSSG concentration was maintained at very low levels in the cytosol through the action of Ycf1p pumping GSSG to the vacuole. Hence, calculating the Ehc using GSSG levels determined from whole cell-extracts as in the present study in fact overestimates the cytosolic redox potential. Moreover, it has recently been demonstrated that significant differences exist in the redox potential between different cellular compartments. At a purely speculative level, assuming an oxidation level of 0.03% of the cytosolic glutathione pool (as estimated by Østergaard et al.) for all strains, the estimated Ehc values for all recombinant strains overexpressing GSH1 would in fact be lower than those in the wild type (-277 mV versus -273 mV), which then would indicate that GSH1 overexpression increases the redox buffering capacity and consequently strain robustness.
The increased redox buffering capacity of the strains overexpressing GSH1 was evident in SSF of pretreated spruce at 10% (w/w) water insoluble solids (WIS) concentration, which contains a spectrum of inhibitory compounds and in particular significant amounts of HMF and furfural (Table 3). All strains carrying the GSH1 overexpression construct were able to consume glucose and convert HMF and furfural for a longer period of time resulting in higher ethanol yields for these strains than the wild type. As overexpression of CYS3 in combination with GSH1 did not result in higher intracellular concentrations of glutathione than overexpression of GSH1 alone, the performance of this strain did not differ form the latter. An explanation could be that the high GSH levels obtained by GSH1 overexpression prevent a further increase of the intracellular glutathione concentration, since it is known that Gsh1p is feedback inhibited by GSH. Unexpectedly, overexpression of GLR1 in combination with GSH1 did not result in decreased levels of GSSG, possibly due to limitation of NADPH. Consequently, the GSH1/GLR1 strain performance was equivalent to that of the strain overexpressing GSH1. In contrast, GLR1 overexpression alone was found to be a burden for the cells when cultivated in the spruce slurry, which was manifested in an earlier cessation of ethanol production than the wild type. Competition for NADPH between Glr1p and furan aldehyde detoxifying oxidoreductases could be a possible explanation for this observation.
Although integration of the overexpression constructs influenced the maximum specific growth rate, the difference between the strains was not severe. All recombinant strains carrying the GSH1 overexpression construct exhibited a lower specific growth rate than the wild type, and the strain overexpressing both GSH1 and GLR1 grew at the lowest specific growth rate. The lower specific growth rates can be explained by a combination of metabolic burden on the cell imposed by the overexpression of the introduced genetic constructs, and uncharacterized effects on strain growth behavior commonly encountered as a consequence of using auxotrophic markers. There is also a possibility that the decrease in specific growth rate in the strains overexpressing GSH1 is connected to partial depletion of cysteine due to overproduction of glutathione. In fact, overexpression of CYS3 somewhat restored the specific growth rate in strains overexpressing GSH1 (Table 2). On the other hand, these small changes in specific growth rate may be of minor importance for industrial bioethanol production, since the microorganisms are thought to reside in a non-growing state in a process such as SSF. Therefore, an engineering strategy that results in a small decrease in specific growth rate may not be unfavorable as long as the microorganism is more tolerant to the process conditions.
Overall, the results from this study show that engineering of S. cerevisiae with increased intracellular glutathione production has a beneficial effect on strain robustness by extending the time of survival in an SSF process using a challenging substrate. The mechanism for the increased tolerance supposedly originates from an increased redox buffering capacity resulting from the increased pool of reduced glutathione in the recombinant strains.
In this work, we showed that engineering of the redox metabolism of S. cerevisiae in terms of increasing the intracellular levels of glutathione by overexpressing GSH1 resulted in increased strain robustness in an SSF process. This was reflected in higher cell survival and final ethanol concentrations of the recombinant strains compared to the wild type in industrial media.
The strains used in the present study are listed in Table 1. CEN.PK 113-7D (MATa, MAL2-8 c , SUC2) was used as reference strain.
GSH1 was amplified from genomic DNA of CEN.PK 113-7D using High-Fidelity DNA Polymerase (Thermo Fisher Scientific) with primers GSH1_SalI_fw (5′ ATAAGTCGAC ATGGGACTCTTAGCTTTGGG) and GSH1_KpnI_rev (5′ GCATGGTACC TTAACATTTGCTTTCTATTGAAG) and cloned into the integrative plasmid YIplac211 harboring the promoter TDH3p, the terminator CYC1t and a functional copy of URA3. CYS3 was codon-optimized with JCat and ordered sub-cloned into YIplac128 (containing a functional copy of LEU2) with TPI1p and CYC1t from Genscript (Piscataway, NJ, USA). GLR1 was amplified from genomic DNA of CEN.PK 113-7D with High-Fidelity DNA Polymerase (Thermo Fisher Scientific) with primers GLR1_XbaI_fw (5′TCTAGA ATGCTTTCTGCAACCAAACAAAC) and GLR1_SmaI_rev (5′ ACCCGGG TCATCTCATAGTAACCAATTCTTC) and cloned into the integrative plasmid YIplac204 harboring TDH3p, CYC1t and a functional copy of TRP1. The constructs were verified by DNA sequencing.
All yeast transformations were performed according to. CEN.PK 113-5D, CEN.PK 102-3A, CEN.PK 113-9D and CEN.PK 113-6B were transformed with YIplac211-TDH3p-GSH1-CYC1t previously linearized in URA3 with StuI. Selection was done on Yeast Nitrogen Base (YNB) plates with addition of relevant amino acids when applicable. CEN.PK 102-3A and CEN.PK 113-6B containing the overexpression construct for GSH1 were subsequently transformed with YIplac128-TPIp-CYS3-CYC1t previously linearized in LEU2 with ClaI and selected on YNB agar plates with supplementation of amino acids when applicable. CEN.PK 113-3C, CEN.PK 113-9D (containing GSH1 overexpression construct) and CEN.PK 113-6B (containing GSH1 and CYS3 overexpression constructs) were transformed with YIplac204-TDH3p-GLR1-CYC1t previously linearized in TRP1 with BstXI and selected on YNB agar plates with supplementation of amino acids when applicable. All integrations were verified by PCR.
Specific growth rate determination and quantification of intracellular glutathione
Single colonies of the respective strains were picked from YPD plates and inoculated in 5 mL defined mineral medium according to containing 20 g L-1 glucose and 50 mM potassium hydrogen phthalate. After 24 hours, 50 mL medium of the same composition was inoculated at a final OD600 of 0.2. Samples were taken at regular intervals during the exponential phase and the maximum specific growth rate was determined from the slope of ln(OD600) plotted against time (h). The final OD600 at the end of the exponential phase was approximately 5. In early exponential phase (when OD600 was 1.1-1.5), 5 mL samples were withdrawn and centrifuged at 2400 g for 4 minutes at 4°C. Total glutathione was determined according to[32, 41]. The cells were washed with 0.1 M potassium phosphate buffer, pH 7.5, resuspended in ice-cold 8 mM HCl, 1.3% (w/v) 5-sulfosalicylic acid solution and disintegrated with glass beads (particle size 425–600 μm) in a bead mill for 3*30 s at maximum speed. The lysate was centrifuged at 10 000 g for 5 minutes at 4°C and the supernatant was used for total glutathione estimation. Samples for oxidized glutathione quantification were prepared by letting 100 μL extract of the preparation above react with 2 μL 20% (v/v) 2-vinylpyridine in ethanol. The pH was brought to 7 by addition of 40 μL 1 M Mes/Tris buffer at pH 7 and the reaction took place at room temperature for 1 hour. Final concentrations in the reaction mix were the following: 1.2 IU/ mL GSH reductase; 0.73 mM DTNB; 0.24 mM NADPH; 0.09% 5-sulfosalicylic acid. Standard curves were constructed using reduced glutathione or oxidized glutathione, respectively, ranging from 0.206 to 26.4 μM .The assay was performed in 96-well plates in a Fluostar microplate reader (BMG Labtech GmbH, Offenburgh, Germany) reading absorbance at 412 nm after automatic addition of NADPH to start the reaction. The absorbance was read every 5 s for 2 min in each reaction.
Calculation of intracellular redox environment
where E0 is the standard potential for GSH (-240 mV) at pH 7, R is the gas constant (8.31 J mol-1 K-1), T is the absolute temperature (303 K), n is the number of electrons exchanged in the process (2) and F is the Faraday constant (96485 C mol-1).
Simultaneous saccharification and fermentation (SSF)
Precultures were prepared by inoculating a single colony of the respective strain in 5 mL defined mineral medium according to containing 50 g L-1 glucose and twice the amounts of the other components. After 24 hours, the first preculture was harvested and inoculated at a final OD of 0.2 in the above mentioned medium. The second preculture was harvested after all glucose had been consumed, which was monitored with glucose test strips (Keto-Diabur-Test 5000, Roche, Basel, Switzerland). SSF was carried out at 50 g working weight in shake-flasks with steam-pretreated spruce provided by SEKAB E-Technology (Örnsköldsvik, Sweden) at 10% (w/w) water insoluble solids (WIS) content. The slurry was supplemented with 1 g L-1 yeast extract, 0.5 g L-1 (NH4)2HPO4, 0.025 g L-1 MgSO4.7H2O and 50 mM potassium phthalate. The SSF experiment was initiated by addition of cell suspension yielding a final cell concentration of 4 g L-1 DW and by addition of Celluclast 1.5 L (Novozymes A/S, Bagsvaerd, Denmark) and Novozyme 188 (Novozymes A/S, Bagsvaerd, Denmark) at 10 mg protein/g WIS and 500 nkat/g WIS, respectively. Samples were withdrawn regularly throughout the cultivations, which were performed in duplicates at 35°C and pH 5.
Quantification of sugars and extracellular metabolites
Samples from SSF experiments were centrifuged at 14000 g for 2 minutes and filtered through 0.2 μm nylon membranes. The samples were stored at -20°C until analysis. Concentrations of glucose, xylose, mannose, galactose, ethanol, glycerol, xylitol, HMF and furfural were analyzed using an HPLC system (Dionex, Sunnyvale, CA) equipped with an Aminex HPX87-P column (Bio-Rad Laboratories, Munich, Germany) operated at 85°C with milliQ-H2O as eluent at a flow rate of 0.6 mL min-1. Detection of sugars and alcohols were made with a Shodex RI-101 refractive index detector (Showa Denko, New York, NY). HMF and furfural were detected with an UV detector at 210 nm (Dionex, Sunnyvale, CA).
Determination of cell mass
Cell mass was determined according to. 5 mL of culture broth was filtered through a 0.45 μm PES membrane (Sartorius Stedim, Aubagne, France). The filters were washed with MilliQ-H2O and dried in a microwave oven at 120 W for 15 minutes and subsequently weighed.
This study was performed in NEMO, a project under EU’s 7th framework program, grant number 222699. SEKAB E-Technology is gratefully acknowledged for providing the pretreated spruce raw material.
- Attfield PV: Stress tolerance: the key to effective strains of industrial baker’s yeast. Nat Biotechnol. 1997, 15: 1351-1357. 10.1038/nbt1297-1351View ArticleGoogle Scholar
- Klinke H, Thomsen A, Ahring B: Inhibition of ethanol-producing yeast and bacteria by degradation products produced during pre-treatment of biomass. Appl Microbiol Biotechnol. 2004, 66: 10-26. 10.1007/s00253-004-1642-2View ArticleGoogle Scholar
- Almeida JRM, Bertilsson M, Gorwa-Grauslund MF, Gorsich S, Liden G: Metabolic effects of furaldehydes and impacts on biotechnological processes. Appl Microbiol Biotechnol. 2009, 82: 625-638. 10.1007/s00253-009-1875-1View ArticleGoogle Scholar
- Modig T, Liden G, Taherzadeh MJ: Inhibition effects of furfural on alcohol dehydrogenase, aldehyde dehydrogenase and pyruvate dehydrogenase. Biochem J. 2002, 363: 769-776. 10.1042/0264-6021:3630769View ArticleGoogle Scholar
- Allen SA, Clark W, McCaffery JM, Cai Z, Lanctot A, Slininger PJ, Liu ZL, Gorsich SW: Furfural induces reactive oxygen species accumulation and cellular damage in Saccharomyces cerevisiae. Biotechnol Biofuels. 2010, 3: 2- 10.1186/1754-6834-3-2View ArticleGoogle Scholar
- Taherzadeh MJ, Gustafsson L, Niklasson C, Liden G: Conversion of furfural in aerobic and anaerobic batch fermentation of glucose by Saccharomyces cerevisiae. J Biosci Bioeng. 1999, 87: 169-174. 10.1016/S1389-1723(99)89007-0View ArticleGoogle Scholar
- Palmqvist E, Almeida JS, Hahn-Hagerdal B: Influence of furfural on anaerobic glycolytic kinetics of Saccharomyces cerevisiae in batch culture. Biotechnol Bioeng. 1999, 62: 447-454. 10.1002/(SICI)1097-0290(19990220)62:4<447::AID-BIT7>3.0.CO;2-0View ArticleGoogle Scholar
- Morimoto S, Murakami M: Studies on fermentation products from aldehyde by microorganisms: the fermentative production of furfural alcohol from furfural by yeasts (part I). J Ferment Technol. 1967, 45: 442-446.Google Scholar
- Liu ZL, Slininger PJ, Dien BS, Berhow MA, Kurtzman CP, Gorsich SW: Adaptive response of yeasts to furfural and 5-hydroxymethylfurfural and new chemical evidence for HMF conversion to 2, 5-bis-hydroxymethylfuran. J Ind Microbiol Biotechnol. 2004, 31: 345-352.View ArticleGoogle Scholar
- Ask M, Bettiga M, Mapelli V, Olsson L: The influence of HMF and furfural on redox-balance and energy-state of xylose-utilizing Saccharomyces cerevisiae. Biotechnol Biofuels. 2013, 6: 22- 10.1186/1754-6834-6-22View ArticleGoogle Scholar
- Kim D, Hahn JS: Roles of the Yap1 Transcription Factor and Antioxidants in Saccharomyces cerevisiae’s Tolerance to Furfural and 5-Hydroxymethylfurfural, Which Function as Thiol-Reactive Electrophiles Generating Oxidative Stress. Appl Environ Microbiol. 2013, 79: 5069-5077. 10.1128/AEM.00643-13View ArticleGoogle Scholar
- Grant CM: Role of the glutathione/glutaredoxin and thioredoxin systems in yeast growth and response to stress conditions. Mol Microbiol. 2001, 39: 533-541. 10.1046/j.1365-2958.2001.02283.xView ArticleGoogle Scholar
- Schafer FQ, Buettner GR: Redox environment of the cell as viewed through the redox state of the glutathione disulfide/glutathione couple. Free Radic Biol Med. 2001, 30: 1191-1212. 10.1016/S0891-5849(01)00480-4View ArticleGoogle Scholar
- Penninckx MJ: An overview on glutathione in Saccharomyces versus non-conventional yeasts. FEMS Yeast Res. 2002, 2: 295-305.Google Scholar
- Drakulic T, Temple MD, Guido R, Jarolim S, Breitenbach M, Attfield PV, Dawes IW: Involvement of oxidative stress response genes in redox homeostasis, the level of reactive oxygen species, and ageing in Saccharomyces cerevisiae. FEMS Yeast Res. 2005, 5: 1215-1228. 10.1016/j.femsyr.2005.06.001View ArticleGoogle Scholar
- Collinson LP, Dawes IW: Isolation, characterization and overexpression of the yeast gene, GLR1, encoding glutathione reductase. Gene. 1995, 156: 123-127. 10.1016/0378-1119(95)00026-3View ArticleGoogle Scholar
- Rietsch A, Beckwith J: The genetics of disulfide bond metabolism. Annu Rev Genet. 1998, 32: 163-184. 10.1146/annurev.genet.32.1.163View ArticleGoogle Scholar
- Kim IS, Kim YS, Yoon HS: Glutathione reductase from Oryza sativa increases acquired tolerance to abiotic stresses in a genetically modified Saccharomyces cerevisiae strain. J Microbiol Biotechnol. 2012, 22: 1557-1567. 10.4014/jmb.1202.02028View ArticleGoogle Scholar
- Yoon HS, Shin SY, Kim YS, Kim IS: Glutathione reductase from Brassica rapa affects tolerance and the redox state but not fermentation ability in response to oxidative stress in genetically modified Saccharomyces cerevisiae. World J Microbiol Biotechnol. 2012, 28: 1901-1915. 10.1007/s11274-011-0988-8View ArticleGoogle Scholar
- Grant CM, MacIver FH, Dawes IW: Glutathione synthetase is dispensable for growth under both normal and oxidative stress conditions in the yeast Saccharomyces cerevisiae due to an accumulation of the dipeptide gamma-glutamylcysteine. Mol Biol Cell. 1997, 8: 1699-1707. 10.1091/mbc.8.9.1699View ArticleGoogle Scholar
- Collinson EJ, Wimmer-Kleikamp S, Gerega SK, Yang YH, Parish CR, Dawes IW, Stocker R: The yeast homolog of heme oxygenase-1 affords cellular antioxidant protection via the transcriptional regulation of known antioxidant genes. J Biol Chem. 2011, 286: 2205-2214. 10.1074/jbc.M110.187062View ArticleGoogle Scholar
- Alfafara C, Miura K, Shimizu H, Shioya S, Suga K: Cysteine addition strategy for maximum glutathione production in fed-batch culture of Saccharomyces cerevisiae. Appl Microbiol Biotechnol. 1992, 37: 141-146.Google Scholar
- Nisamedtinov I, Kevvai K, Orumets K, Arike L, Sarand I, Korhola M, Paalme T: Metabolic changes underlying the higher accumulation of glutathione in Saccharomyces cerevisiae mutants. Appl Microbiol Biotechnol. 2011, 89: 1029-1037. 10.1007/s00253-010-2946-zView ArticleGoogle Scholar
- Palmqvist E, Hahn-Hägerdal B: Fermentation of lignocellulosic hydrolysates. II: inhibitors and mechanisms of inhibition. Bioresour Technol. 2000, 74: 25-33. 10.1016/S0960-8524(99)00161-3.View ArticleGoogle Scholar
- Entian KD, Kötter P: Yeast genetic strain and plasmid collections. Methods in Microbiology. Edited by: Stansfield I, Stark M. 2007, USA: ElsevierGoogle Scholar
- Gauss W, Suzuki S, Takagi M: Manufacture of alcohol from cellulosic materials using plural ferments. 1976, USA: Patent nr 3990944, Office USPaTGoogle Scholar
- Olofsson K, Bertilsson M, Lidén G: A short review on SSF - an interesting process option for ethanol production from lignocellulosic feedstocks. Biotechnol Biofuels. 2008, 1: 7- 10.1186/1754-6834-1-7View ArticleGoogle Scholar
- Larsson S, Palmqvist E, Hahn-Hagerdal B, Tengborg C, Stenberg K, Zacchi G, Nilvebrant NO: The generation of fermentation inhibitors during dilute acid hydrolysis of softwood. Enzyme Microb Technol. 1999, 24: 151-159. 10.1016/S0141-0229(98)00101-X.View ArticleGoogle Scholar
- Larsson S, Reimann A, Nilvebrant NO, Jonsson LJ: Comparison of different methods for the detoxification of lignocellulose hydrolyzates of spruce. Appl Biochem Biotechnol. 1999, 77–9: 91-103.View ArticleGoogle Scholar
- Branduardi P, Fossati T, Sauer M, Pagani R, Mattanovich D, Porro D: Biosynthesis of vitamin C by yeast leads to increased stress resistance. PLoS One. 2007, 2: e1092- 10.1371/journal.pone.0001092View ArticleGoogle Scholar
- Kirlin WG, Cai J, Thompson SA, Diaz D, Kavanagh TJ, Jones DP: Glutathione redox potential in response to differentiation and enzyme inducers. Free Radic Biol Med. 1999, 27: 1208-1218. 10.1016/S0891-5849(99)00145-8View ArticleGoogle Scholar
- Morgan B, Ezerina D, Amoako TN, Riemer J, Seedorf M, Dick TP: Multiple glutathione disulfide removal pathways mediate cytosolic redox homeostasis. Nat Chem Biol. 2013, 9: 119-125.View ArticleGoogle Scholar
- Ayer A, Sanwald J, Pillay BA, Meyer AJ, Perrone GG, Dawes IW: Distinct redox regulation in sub-cellular compartments in response to various stress conditions in Saccharomyces cerevisiae. PLoS One. 2013, 8: e65240- 10.1371/journal.pone.0065240View ArticleGoogle Scholar
- Ostergaard H, Tachibana C, Winther JR: Monitoring disulfide bond formation in the eukaryotic cytosol. J Cell Biol. 2004, 166: 337-345. 10.1083/jcb.200402120View ArticleGoogle Scholar
- Wheeler GL, Quinn KA, Perrone G, Dawes IW, Grant CM: Glutathione regulates the expression of gamma-glutamylcysteine synthetase via the Met4 transcription factor. Mol Microbiol. 2002, 46: 545-556. 10.1046/j.1365-2958.2002.03174.xView ArticleGoogle Scholar
- Ask M, Olofsson K, Di Felice T, Ruohonen L, Penttilä M, Lidén G, Olsson L: Challenges in enzymatic hydrolysis and fermentation of pretreated Arundo donax revealed by a comparison between SHF and SSF. Process Biochem. 2012, 47: 1452-1459. 10.1016/j.procbio.2012.05.016.View ArticleGoogle Scholar
- Gietz RD, Sugino A: New yeast-Escherichia coli shuttle vectors constructed with in vitro mutagenized yeast genes lacking six-base pair restriction sites. Gene. 1988, 74: 527-534. 10.1016/0378-1119(88)90185-0View ArticleGoogle Scholar
- Grote A, Hiller K, Scheer M, Munch R, Nortemann B, Hempel DC, Jahn D: JCat: a novel tool to adapt codon usage of a target gene to its potential expression host. Nucleic Acids Res. 2005, 33: W526-W531. 10.1093/nar/gki376View ArticleGoogle Scholar
- Gietz RD, Woods RA: Yeast Transformation by the LiAc/SS Carrier DNA/PEG Method. Methods in Molecular Biology. Volume 313. Edited by: Xiao W. 2005, Totowa, N.J: Humana Press IncGoogle Scholar
- Verduyn C, Postma E, Scheffers W, Van Dijken J: Effect of benzoic acid on metabolic fluxes in yeasts: a continuous-culture study on the regulation of respiration and alcoholic fermentation. Yeast. 1992, 8: 501-517. 10.1002/yea.320080703View ArticleGoogle Scholar
- Rahman I, Kode A, Biswas SK: Assay for quantitative determination of glutathione and glutathione disulfide levels using enzymatic recycling method. Nat Protoc. 2006, 1: 3159-3165.View ArticleGoogle Scholar
- Ditzelmuller G, Wohrer W, Kubicek CP, Rohr M: Nucleotide pools of growing, synchronized and stressed cultures of Saccharomyces cerevisiae. Arch Microbiol. 1983, 135: 63-67. 10.1007/BF00419484View ArticleGoogle Scholar
- Rost J, Rapoport S: Reduction-potential of glutathione. Nature. 1964, 201: 185-View ArticleGoogle Scholar
- Olsson L, Nielsen J: Online and in situ monitoring of biomass in submerged cultivations. Trends Biotechnol. 2009, 15: 517-522.View ArticleGoogle Scholar
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