An organic acid-tolerant HAA1-overexpression mutant of an industrial bioethanol strain of Saccharomyces cerevisiae and its application to the production of bioethanol from sugarcane molasses
© Inaba et al.; licensee Springer. 2013
Received: 27 September 2013
Accepted: 20 December 2013
Published: 30 December 2013
Bacterial contamination is known as a major cause of the reduction in ethanol yield during bioethanol production by Saccharomyces cerevisiae. Acetate is an effective agent for the prevention of bacterial contamination, but it negatively affects the fermentation ability of S. cerevisiae. We have proposed that the combined use of organic acids including acetate and lactate and yeast strains tolerant to organic acids may be effective for the elimination of principally lactic acid bacterial (LAB) contamination. In a previous study employing laboratory S. cerevisiae strains, we showed that overexpression of the HAA1 gene, which encodes a transcriptional activator, could be a useful molecular breeding method for acetate-tolerant yeast strains. In the present study, we constructed a HAA1-overexpressing diploid strain (MAT a/α, named ER HAA1-OP) derived from the industrial bioethanol strain Ethanol Red (ER). ER HAA1-OP showed tolerance not only to acetate but also to lactate, and this tolerance was dependent on the increased expression of HAA1 gene. The ethanol production ability of ER HAA1-OP was almost equivalent to that of the parent strain during the bioethanol production process from sugarcane molasses in the absence of acetate. The addition of acetate at 0.5% (w/v, pH 4.5) inhibited the fermentation ability of the parent strain, but such an inhibition was not observed in the ethanol production process using ER HAA1-OP.
KeywordsSaccharomyces cerevisiae Ethanol fermentation Sugarcane molasses Acetate tolerance HAA1 gene
The utilization of bioethanol as an alternative to fossil fuels has attracted much attention in the effort to combat global warming and improve energy reserves. At present, bioethanol production generally utilizes derivatives from food crops such as sugar cane and corn grain (Cardona and Sanchez 2007). Bacterial contamination is known as a major cause of reductions in the yield of ethanol from such feedstock by yeast, Saccharomyces cerevisiae (Skinner and Leathers 2004). Briefly, these bacterial contaminants grow under conditions suitable for the growth of yeast, and reduce ethanol yields by competing for sugars such as glucose (Beckner et al. 2011). It has also been reported that the competition for nutrients between yeast and bacteria is a major reason for the loss of ethanol and viability in contaminated industrial ethanol production (Bayrock and Ingledew 2004).
Various agents have been examined for their potential to control bacteria and thereby avoid the reduction of ethanol yields. It has been reported that potassium metabisulfite and antibiotics effectively inhibit bacterial contamination (Aquarone 1960; Bayrock et al. 2003; Hynes et al. 1997; Oliva-Neto and Yokoya 1998; William and Carl 1986). In fact, antibiotics such as penicillin and virginiamycin are used in commercial bioethanol production today (Bayrock et al. 2003; Hynes et al. 1997). However, the addition of antibiotics to the broth may not be preferable from an ecological viewpoint, because the waste generated during bioethanol production should be recycled as useful products including forage or fertilizer. Antibiotics in the waste can lead to the emergence and spread of mutants resistant to antibiotics, which would threaten the safety of food and human health. Therefore, it is important to develop a method to control contamination by bacteria during bioethanol production without the use of antibiotics. In designing a bioethanol production process that eliminates bacterial contamination, we focused on acetate as a control agent.
Among bacteria that contaminate sugarcane juice, lactic acid bacteria (LAB) may be the most serious because of their rapid growth (Thomas et al. 2001). It is reported that particular Lactobacillus strains such as Lb. plantarum are the most abundant isolates from various commercial plants used in ethanol production (Saithong et al. 2009). Lactate produced by contaminating LAB has been reported as a strong inhibitor of ethanol production by yeast strains (Beckner et al. 2011). It can thus be considered that lactate tolerance is a critical characteristic for bioethanol yeast.
At elevated levels, acetate strongly inhibits bacterial growth and viability; however, the addition of high concentrations of acetate may also reduce the fermentation ability of S. cerevisiae. At an external pH below the pKa value (Lambert and Stratford 1999), the acetate predominantly assumes an undissociated lipophilic form and can permeate the plasma membrane by simple diffusion. At natural cytosolic pH, dissociation of the acids leads to the release of protons and the respective anions, which induces intracellular acidification (Kawahata et al. 2006). To overcome these conflicting effects of acetate addition, we attempted to construct acetate-tolerant yeast strains whose fermentation abilities were not affected by acetate. Previously, we proposed that a fermentation system using the acetate-tolerant yeast Schizosaccharomyces pombe under an acetate-containing condition was effective for preventing bacterial contamination (Saithong et al. 2009). However, the fermentation ability of Sc. pombe is much lower than that of S. cerevisiae. In this study, we attempted to construct acetate-tolerant strains from the industrial S. cerevisiae strain Ethanol Red (ER).
In previous reports, we described a breeding strategy for the improvement of acetate tolerance (Haitani et al. 2012; Tanaka et al. 2012). We determined by DNA microarray analysis that overexpression of HAA1 gene, which is a transcriptional activator involved in the adaptation to weak acid stress, was up-regulated in the presence of acetate. It is known that Haa1 binds to an acetic acid-responsive element (ACRE), activating the expression of several targets, including the membrane transporter genes TPO2 and TPO3 (Fernandes et al. 2005; Keller et al. 2001; Mira et al. 2010). We have reported that a laboratory strain of S. cerevisiae that overexpressed the HAA1 gene acquired a higher level of acetate tolerance (Tanaka et al. 2012).
In this study, we constructed an acetate-tolerant strain derived from the bioethanol yeast S. cerevisiae ER. Because acetate shows a negative effect on the growth of contaminated bacteria (Saithong et al. 2009) and is a safe and inexpensive reagent for inhibiting bacterial growth, we examined whether the combined use of acetate and a strain tolerant to acetate would be suitable for industrial ethanol production.
Materials and methods
YPD medium (2% glucose, 1% yeast extract [Difco Laboratories, Detroit, MI, USA], and 2% peptone [Difco]) was used for yeast culture, and SD medium (2% glucose and 0.67% yeast nitrogen base without amino acids [Difco]) was used to isolate transformants. YPD medium (2% glucose, 1% yeast extract [Difco], and 2% peptone [Difco]) was used for determination of the fermentation characteristics of the constructed strain.
Sugarcane molasses was purchased from Matsuhisa (Gifu, Japan). Molasses medium (16% total sugar, calculated as the sum of sucrose, glucose and fructose, plus 0.046% KH2PO4 and 0.225% urea) was used for fermentation tests.
The sequences of all oligonucleotide primers used for PCR in this study are listed in Additional file 1: Table S1.
Construction of the HAA1-overexpressing strain
Yeast strains used in this study
Source or reference
ER (Ethanol Red)
MAT a/α (wild type)
Le Saffre, France
MAT a derived from ER
(Sasano et al. 2012)
ER-6c ura3 Δ0
MAT a ura3Δ0 derived from ER-6c
(Sasano et al. 2012)
MAT α derived from ER
(Sasano et al. 2012)
ER-3a ura3 Δ0
MAT α ura3Δ0 derived from ER-3a
(Sasano et al. 2012)
MAT a P TDH3 -HAA1 derived from ER-6c ura3 Δ0
MAT α P TDH3 -HAA1 derived from ER-3a ura3 Δ0
MAT a/ α P TDH3 -HAA1/P TDH3 -HAA1 constructed by mating between ER-3a HAA1-OP and ER-6c HAA1-OP
HAA1-overexpressing strains were constructed on the basis of a previously reported method (Hasegawa et al. 2012) using the primer set listed in Additional file 1: Table S1 in the supplemental material. Briefly, the promoter region of the TDH3 gene, which allows constitutive expression at a high level, was fused with the URA3 marker gene and then inserted upstream of the start codon of the HAA1 gene. Fusion PCR was performed according to the method previously described (Kuwayama et al. 2002). Yeast strains overexpressing the target genes were constructed by replacing the promoter region of each gene with that of TDH3 gene, which encodes glyceraldehyde-3-phosphate dehydrogenase (GPDH).
These fragments were transferred into ER-6c ura3 Δ0 and ER-3a ura3 Δ0. The fragments contained consensus sequences for each target gene at both ends; therefore, they were inserted into the chromosomal DNA of the host cells through homologous recombination. The intended homologous recombination was confirmed by PCR reactions using a set of PCR primers (HAA1 check-F and HAA1 check-R; shown in Additional file 1: Table S1).
Diploid strains were constructed by mating haploid strains of opposite mating types in YPD medium. Overnight cultures of each haploid parent were mixed and incubated at 30°C for 4 h without shaking. The mixtures were diluted 50-fold with fresh YPD medium. After cultivation overnight at 30°C, the mating mixture was plated onto YPD agar. Diploid strains were selected on the basis of colony size (Shima et al. 1999), yielding strain ER HAA1-OP. Diploid formation was confirmed based on spore formation ability and PCR analysis of the MAT loci (Katou et al. 2008).
Quantitative real-time PCR analysis
To determine the expression level of the HAA1 gene in each overexpressing strain, quantitative real-time PCR (qRT-PCR) analysis was performed. Total RNAs were extracted from logarithmically growing cells using the hot phenol method. Synthesis of the cDNAs from the total RNAs was performed using a PrimeScript II High Fidelity RT-PCR kit (Takara, Ohtu, Japan) with an oligo dT primer. Real-time PCR was carried out using a FastStart Essential DNA Green Master (Roche, Mannheim, Germany) and LightCycler nano (Roche). Data analysis was performed using the LightCycler Nano software version 1.0 (Roche). The primers used for the real-time PCR analysis are listed in Additional file 1: Table S1. The TAF10 gene was employed as a control housekeeping gene, because TAF10 gene is reported to be among the most suitable genes for use as a reference in qRT-PCR (Teste et al. 2009).
Organic acids stress tolerance test
To test the acetate and lactate tolerance of the yeast transformants, each yeast strain was cultured in YPD medium until OD600 ~4-5 and then serially diluted, 10-fold at a time, and 4 μl of each diluted solution was applied to YPD agar medium containing 0.5% (w/v) acetate (pH 4.5) or 9% (w/v) lactate (pH 2.8). The samples were incubated at 30°C.
Measurement of sugar, ethanol and acetate in the culture medium and molasses
Ethanol, glucose and acetate concentrations were determined using an HPLC system (Shimadzu, Kyoto, Japan) equipped with a fermentation monitoring column (Bio-Rad Laboratories, Hercules, CA, USA) and Micro-Guard Cation H Refill Cartridges with a Standard Cartridge Holder (Bio-Rad Laboratories), and detected using an RID-10A refractive index detector (Shimadzu). The column was kept at 60°C using a CTO-20A column oven (Shimadzu). Sulfuric acid solution (5 mM) was used as the mobile phase at a constant flow rate of 0.6 mL/min. Portions (10 μL) were injected into the HPLC system with an SIL-20A autosampler (Shimadzu), and each run was stopped at 13.4 min after the injection. The concentrations of the sugars and ethanol were determined using a standard curve generated by a series of external standards.
Fermentation characteristics of the yeast strains in YPD medium
Strains ER and ER HAA1-OP were inoculated in YPD medium (100 ml in a 300-ml Erlenmeyer flask) containing 0% or 0.5% acetate (pH 4.5). The initial densities of the yeast cells were 4.8 × 107 (equivalent to OD600 = 1). The cultures were incubated at 30°C for 18 h with shaking at 80 rpm, and the changes in ethanol, glucose and acetate in the culture medium during cultivation were monitored as described above.
Ethanol production from sugarcane molasses under the acetate-addition condition
Strains ER and ER HAA1-OP were inoculated in molasses medium (100 ml in a 300-ml Erlenmeyer flask) containing 0% or 0.5% acetate (pH 4.5). The initial densities of the yeast cells were 4.8 × 107 (equivalent to OD600 = 1). The cultures were incubated at 30°C for 24 h with shaking at 80 rpm, and the amounts of ethanol in the culture medium during cultivation were monitored as described above.
Construction of a diploid HAA1-overexpressing strain and confirmation of the HAA1 gene expression level
Mating was performed between strains ER-6c HAA1-OP and ER-3a HAA1-OP to obtain the diploid HAA1-overexpressing strain ER HAA1-OP (MAT a/α). Diploid formation was confirmed by both spore formation ability and PCR analysis of MAT loci (data not shown). In Figure 1, the expression levels of the HAA1 gene in ER HAA1-OP and parental cells grown in YPD medium are shown. These results show that the expression level of the HAA1 gene in ER HAA1-OP is 6 times higher than that in the parent strain.
Stress tolerance to acetate and lactate of the HAA1-overexpressing strain
We also found that the HAA1-overexpressing haploid strains (ER-6c HAA1-OP and ER-3a HAA1-OP) and the diploid strain (ER HAA1-OP) showed tolerance to lactate (Figure 2, right panel), although in our previous study employing a laboratory yeast strain, we did not observe lactate tolerance (Tanaka et al. 2012).
Fermentation characteristics of strain ER HAA1-OP
Ethanol production from sugarcane molasses by ER HAA1-OP
Figure 4a shows the ethanol production by ER HAA1-OP and its parent strain in molasses medium. The amounts of ethanol in the medium reached approximately 7% within 24 h of incubation using either ER HAA1-OP or its parent strain. These results suggested that ER HAA1-OP is suitable for ethanol production from sugarcane molasses. Figure 4b shows the ethanol production by ER HAA1-OP and its parent strain in molasses medium containing 0.5% acetate (pH 4.5, which is near the pKa value of acetate). The ethanol productivity of ER was significantly inhibited in the presence of 0.5% acetate. The ethanol production rate of ER HAA1-OP under the acetate-addition condition was lower than that under the non-stress condition. This was particularly true in the initial stage of cultivation (0–9 h after inoculation), when ethanol production was significantly inhibited (Figure 4b). Although the time required for the maximum ethanol concentration was different, the maximum ethanol concentration (approximately 7%) was nearly the same under both the acetate-addition condition and non-stress condition.
In this paper, we showed the possibility of designing an effective bioethanol production system with the addition of acetate. Previously, we reported that an HAA1-overexpressing strain derived from a laboratory strain showed higher acetate tolerance, and that the overexpression of HAA1 gene induced the expression of Haa1-regulated genes, including TPO2 and TPO3, the products of which are considered major facilitator superfamily transporters of the S. cerevisiae plasma membrane (Tanaka et al. 2012). In the present study, the constitutive HAA1-overexpressing diploid strain (ER HAA1-OP) was constructed from the industrial yeast strain S. cerevisiae ER. The ER HAA1-OP strain showed not only higher acetate tolerance by spot assay but also higher fermentation ability (ethanol production) in the presence of 0.5% acetate than the wild-type strain.
In our previous study, the same promoter was used in overexpressing the strain derived from the laboratory strain S288C (Tanaka et al. 2012). In the laboratory strain, the replacement of the native promoter of the HAA1 gene by the TDH3 promoter conferred an approximately 3-fold increase of HAA1 gene expression. The effects of promoter replacement on the enhancement of HAA1 expression were much greater under the genetic background of S. cerevisiae ER than that of S288C. We speculate that differences in the expression levels of HAA1 between the laboratory strain (an approximately 3-fold increase) and S. cerevisiae ER (an approximately 6-fold increase) may have led to the different results in lactate tolerance. Because lactate produced by contaminated LAB is one of the possible inhibitory factors of ethanol production by yeast strains, this characteristic may be useful to avoid stuck fermentation. It is possible that the high-level expression of the HAA1 gene in ER HAA1-OP may contribute to lactate tolerance. At present, we are not able to determine the reasons for these differences; however, it is possible that the gene expression levels of TDH3, which encodes proteins involved in glycolysis, are higher in the strains from an ER background than in the laboratory strain used here. In general, the fermentation ability of industrial strains is much higher than those of laboratory strains.
We consider the combined use of strains tolerant to organic acids, including acetate and lactate, to be suitable for industrial ethanol production from molasses, because organic acids are safe and inexpensive reagents for inhibiting bacterial growth. By making antibiotics unnecessary, our proposed ethanol production system offers several advantages. One of the most important is that the waste generated during antibiotic-free bioethanol production can be used safely as forage or fertilizer. In the future, inexpensive methods for preparing organic acids, such as recycling, need to be investigated for industrial application. However, ER HAA1-OP clearly has the ability to produce ethanol in molasses medium containing 0.5% acetate.
In future studies, it may be useful to pursue a bioprocess which eliminates the heat sterilization process of feedstock, which is one of the most energy-consuming steps in bioethanol production. We believe that one of the key technologies in the design of economic and environmentally friendly processes is the improvement of industrial microorganisms, such as yeast and bacteria, by enhancing characteristics such as their tolerance to environmental stress. To enable the breeding of such microorganisms, detailed elucidation of their stress-tolerance mechanisms will be needed.
This work was supported by the Institute for Fermentation, Osaka (IFO). We thank Le Saffre (Marcq-en-Baroeul, France) for providing the commercial bioethanol yeast strain, Ethanol Red™.
- Aquarone E: Penicillin and tetracycline as contamination control agents in alcoholic fermentation of sugar cane molasses. Appl Microbiol 1960, 8: 263–268.PubMed CentralPubMedGoogle Scholar
- Bayrock DP, Ingledew WM: Inhibition of yeast by lactic acid bacteria in continuous culture: nutrient depletion and/or acid toxicity? J Ind Microbiol Biotechnol 2004, 31: 362–368.PubMedView ArticleGoogle Scholar
- Bayrock DP, Thomas KC, Ingledew WM: Control of Lactobacillus contaminants in continuous fuel ethanol fermentations by constant or pulsed addition of penicillin G. Appl Microbiol Biotechnol 2003, 62: 498–502. 10.1007/s00253-003-1324-5PubMedView ArticleGoogle Scholar
- Beckner M, Ivey ML, Phister TG: Microbial contamination of fuel ethanol fermentations. Lett Appl Microbiol 2011, 53: 387–394. 10.1111/j.1472-765X.2011.03124.xPubMedView ArticleGoogle Scholar
- Cardona CA, Sanchez OJ: Fuel ethanol production: process design trends and integration opportunities. Bioresour Technol 2007, 98: 2415–2457. 10.1016/j.biortech.2007.01.002PubMedView ArticleGoogle Scholar
- Fernandes AR, Mira NP, Vargas RC, Canelhas I, Sa-Correia I: Saccharomyces cerevisiae adaptation to weak acids involves the transcription factor Haa1p and Haa1p-regulated genes. Biochem Biophys Res Commun 2005, 337: 95–103. 10.1016/j.bbrc.2005.09.010PubMedView ArticleGoogle Scholar
- Haitani Y, Tanaka K, Yamamoto M, Nakamura T, Ando A, Ogawa J, Shima J: Identification of an acetate-tolerant strain of Saccharomyces cerevisiae and characterization by gene expression analysis. J Biosci Bioeng 2012, 114: 648–651. 10.1016/j.jbiosc.2012.07.002PubMedView ArticleGoogle Scholar
- Hasegawa S, Ogata T, Tanaka K, Ando A, Takagi H, Shima J: Overexpression of vacuolar H + -ATPase-related genes in bottom-fermenting yeast enhances ethanol tolerance and fermentation rates under high-gravity fermentation. J Inst Brewing 2012, 118: 179–185. 10.1002/jib.32View ArticleGoogle Scholar
- Hynes SH, Kjarsgaard DM, Thomas KC, Ingledew WM: Use of virginiamycin to control the growth of lactic acid bacteria during alcohol fermentation. J Ind Microbiol Biotechnol 1997, 18: 284–291. 10.1038/sj.jim.2900381PubMedView ArticleGoogle Scholar
- Katou T, Kitagaki H, Akao T, Shimoi H: Brewing characteristics of haploid strains isolated from sake yeast Kyokai No. 7. Yeast 2008, 25: 799–807. 10.1002/yea.1634PubMedView ArticleGoogle Scholar
- Kawahata M, Masaki K, Fujii T, Iefuji H: Yeast genes involved in response to lactic acid and acetic acid: acidic conditions caused by the organic acids in Saccharomyces cerevisiae cultures induce expression of intracellular metal metabolism genes regulated by Aft1p. FEMS Yeast Res 2006, 6: 924–936. 10.1111/j.1567-1364.2006.00089.xPubMedView ArticleGoogle Scholar
- Keller G, Ray E, Brown PO, Winge DR: Haa1, a protein homologous to the copper-regulated transcription factor Ace1, is a novel transcriptional activator. J Biol Chem 2001, 276: 38697–38702. 10.1074/jbc.M107131200PubMedView ArticleGoogle Scholar
- Kuwayama H, Obara S, Morio T, Katoh M, Urushihara H, Tanaka Y: PCR-mediated generation of a gene disruption construct without the use of DNA ligase and plasmid vectors. Nucleic Acids Res 2002, 30: E2. 10.1093/nar/30.2.e2PubMed CentralPubMedView ArticleGoogle Scholar
- Lambert RJ, Stratford M: Weak-acid preservatives: modelling microbial inhibition and response. J Appl Microbiol 1999, 86: 157–164. 10.1046/j.1365-2672.1999.00646.xPubMedView ArticleGoogle Scholar
- Mira NP, Palma M, Guerreiro JF, Sa-Correia I: Genome-wide identification of Saccharomyces cerevisiae genes required for tolerance to acetic acid. Microb Cell Fact 2010, 9: 79. 10.1186/1475-2859-9-79PubMed CentralPubMedView ArticleGoogle Scholar
- Oliva-Neto PD, Yokoya F: Effect of 3,4,4 ′-trichlorocarbanilide on growth of lactic acid bacteria contaminants in alcoholic fermentation. Bioresour Technol 1998, 63: 17–21. 10.1016/S0960-8524(97)00092-8View ArticleGoogle Scholar
- Saithong P, Nakamura T, Shima J: Prevention of bacterial contamination using acetate-tolerant Schizosaccharomyces pombe during bioethanol production from molasses. J Biosci Bioeng 2009, 108: 216–219. 10.1016/j.jbiosc.2009.03.022PubMedView ArticleGoogle Scholar
- Sasano Y, Watanabe D, Ukibe K, Inai T, Ohtsu I, Shimoi H, Takagi H: Overexpression of the yeast transcription activator Msn2 confers furfural resistance and increases the initial fermentation rate in ethanol production. J Biosci Bioeng 2012, 113: 451–455. 10.1016/j.jbiosc.2011.11.017PubMedView ArticleGoogle Scholar
- Shima J, Hino A, Yamada-Iyo C, Suzuki Y, Nakajima R, Watanabe H, Mori K, Takano H: Stress tolerance in doughs of Saccharomyces cerevisiae trehalase mutants derived from commercial Baker’s yeast. Appl Environ Microbiol 1999, 65: 2841–2846.PubMed CentralPubMedGoogle Scholar
- Skinner KA, Leathers TD: Bacterial contaminants of fuel ethanol production. J Ind Microbiol Biotechnol 2004, 31: 401–408. 10.1007/s10295-004-0159-0PubMedView ArticleGoogle Scholar
- Tanaka K, Ishii Y, Ogawa J, Shima J: Enhancement of acetic acid tolerance in Saccharomyces cerevisiae by overexpression of the HAA1 gene, encoding a transcriptional activator. Appl Environ Microbiol 2012, 78: 8161–8163. 10.1128/AEM.02356-12PubMed CentralPubMedView ArticleGoogle Scholar
- Teste MA, Duquenne M, Francois JM, Parrou JL: Validation of reference genes for quantitative expression analysis by real-time RT-PCR in Saccharomyces cerevisiae . BMC Mol Biol 2009, 10: 99. 10.1186/1471-2199-10-99PubMed CentralPubMedView ArticleGoogle Scholar
- Thomas KC, Hynes SH, Ingledew WM: Effect of lactobacilli on yeast growth, viability and batch and semi-continuous alcoholic fermentation of corn mash. J Appl Microbiol 2001, 90: 819–828. 10.1046/j.1365-2672.2001.01311.xPubMedView ArticleGoogle Scholar
- William RG, Carl AW: Effects of sodium meta bisulfite on diffusion fermentation of fodder beets for fuel ethanol production. Biotechnol Bioeng 1986, 30: 909–916.Google Scholar
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.