Screening and construction of Saccharomyces cerevisiae strains with improved multi-tolerance and bioethanol fermentation performance

In this study, a systemic analysis was initially performed to investigate the relationship between fermentation-related stress tolerances and ethanol yield. Based on the results obtained, two elite Saccharomyces cerevisiae strains, Z8 and Z15, with variant phenotypes were chosen to construct strains with improved multi-stress tolerance by genome shuffling in combination with optimized initial selection. After three rounds of genome shuffling, a shuffled strain, YZ1, which surpasses its parent strains in osmotic, heat, and acid tolerances, was obtained. Ethanol yields of YZ1 were 3.11%, 10.31%, and 10.55% higher than those of its parent strains under regular, increased heat, and high gravity fermentation conditions, respectively. YZ1 was applied to bioethanol production at an industrial scale. Results demonstrated that the variant phenotypes from available yeast strains could be used as parent stock for yeast breeding and that the genome shuffling approach is sufficiently powerful in combining suitable phenotypes in a single strain.     

基因组改组技术选育耐酸性琥珀酸放线杆菌

以琥珀酸产生菌Actinobacillus succinogenes CGMCC 1593为出发菌,分别经过紫外线-甲基磺酸乙酯(UV-EMS)和紫外线-硫酸二乙酯(UV-DES)诱变处理,得到7株耐酸性有所提高的突变株.以此作为候选菌库,经3轮原生质体递进融合,筛选获得4株可以在pH 5.6下生长的改组菌株.其中改组菌株F3-21在pH 5.6的完全液体培养基中生长的OD值是原始菌的7倍,在pH 5.2条件下仍能生长;其摇瓶发酵48h琥珀酸产量较原始菌株提高48%.在5L发酵罐中进行分批发酵,当控制pH在较低值(5.6～6.0)时,F3-21厌氧发酵48h积累琥珀酸38.1g/L,较出发菌株提高了45%;当控制pH在6.5～7.0时,F3-21厌氧发酵32h积累琥珀酸40.7g/L.F3-21在5L发酵罐中进行补料分批发酵,厌氧发酵72h,产琥珀酸达67.4g/L.结果说明基因组改组技术能够改进琥珀酸放线菌的耐酸性能及其琥珀酸的产量.     

基因组改组（genome－shuffling）提高

首先采用紫外线与亚硝基胍两种传统微生物诱变方法对干酪乳杆菌进行诱变,经低pH平板、碳酸钙平板和摇瓶试验获得了5株耐酸性提高的突变菌株。以获得的突变菌株为出发菌株,应用灭活双亲原生质体融合后致死损伤得到互补获得活性融合子的方法,对其进行基因组改组,经过低pH平板、碳酸钙平板和摇瓶筛选,获得4株可以在pH3.8平板上旺盛生长且产酸量较高的改组菌株。将改组菌株与原始菌株分别于pH 3.8和3.4的YE液体培养基中培养,改组菌株能够在原始菌株无法生存的pH条件（pH 3.4）下生长。在pH 3.8的条件下,对改组菌株与原始菌株的发酵特征进行比较,37℃发酵48小时后,改组菌株产酸量为原始菌株的2.4倍,表明基因组改组技术能有效提高多基因调控表型的进化。     

Genome shuffling enhanced L-lactic acid production by improving glucose tolerance of Lactobacillus rhamnosus

Genome shuffling is a powerful strategy for rapid engineering of microbial strains for desirable industrial phenotypes. Here we applied the genome shuffling to improve the glucose tolerance of Lactobacillus rhamnosus ATCC 11443 while simultaneously enhancing the L-lactic acid production. The starting population was generated by ultraviolet irradiation and nitrosoguanidine mutagenesis and then subjected for the recursive protoplast fusion. The positive colonies from library created by fusing the inactivated protoplasts were more likely to be screened on plates containing different concentrations of high glucose and 2% CaCO(3). Characterization of all mutants and wild-type strain in the shake flask indicated the compatibility of two optimal phenotypes of glucose tolerance and lactic acid enhancement. The lactic acid production, cell growth and glucose consumption of the best performing strain from the second round genome shuffled populations were 71.4%, 44.9% and 62.2% higher than those of the wild type at the initial glucose concentration of 150 g/l in the 16l bioreactor. Furthermore, the higher lactic acid concentrations were obtained when the initial glucose concentrations increased to 160 and 200 g/l in batch fermentation.     

Xylose‐fermenting Pichia stipitis by genome shuffling for improved ethanol production

Xylose fermentation is necessary for the bioconversion of lignocellulose to ethanol as fuel, but wild‐type Saccharomyces cerevisiae strains cannot fully metabolize xylose. Several efforts have been made to obtain microbial strains with enhanced xylose fermentation. However, xylose fermentation remains a serious challenge because of the complexity of lignocellulosic biomass hydrolysates. Genome shuffling has been widely used for the rapid improvement of industrially important microbial strains. After two rounds of genome shuffling, a genetically stable, high‐ethanol‐producing strain was obtained. Designated as TJ2‐3, this strain could ferment xylose and produce 1.5 times more ethanol than wild‐type Pichia stipitis after fermentation for 96 h. The acridine orange and propidium iodide uptake assays showed that the maintenance of yeast cell membrane integrity is important for ethanol fermentation. This study highlights the importance of genome shuffling in P. stipitis as an effective method for enhancing the productivity of industrial strains.     

Saccharomyces cerevisiae genome shuffling through recursive population mating leads to improved tolerance to spent sulfite liquor

Spent sulfite liquor (SSL) is a waste effluent from sulfite pulping that contains monomeric sugars which can be fermented to ethanol. However, fermentative yeasts used for the fermentation of the sugars in SSL are adversely affected by the inhibitory substances in this complex feedstock. To overcome this limitation, evolutionary engineering of Saccharomyces cerevisiae was carried out using genome-shuffling technology based on large-scale population cross mating. Populations of UV-light-induced yeast mutants more tolerant than the wild type to hardwood spent sulfite liquor (HWSSL) were first isolated and then recursively mated and enriched for more-tolerant populations. After five rounds of genome shuffling, three strains were isolated that were able to grow on undiluted HWSSL and to support efficient ethanol production from the sugars therein for prolonged fermentation of HWSSL. Analyses showed that greater HWSSL tolerance is associated with improved viability in the presence of salt, sorbitol, peroxide, and acetic acid. Our results showed that evolutionary engineering through genome shuffling will yield robust yeasts capable of fermenting the sugars present in HWSSL, which is a complex substrate containing multiple sources of inhibitors. These strains may not be obtainable through classical evolutionary engineering and can serve as a model for further understanding of the mechanism behind simultaneous tolerance to multiple inhibitors.     

Improvement of robustness and ethanol production of ethanologenic Saccharomyces cerevisiae under co-stress of heat and inhibitors

Bioethanol is an attractive alternative to fossil fuels. Saccharomyces cerevisiae is the most important ethanol producer. However, yeast cells are challenged by various environmental stresses during the industrial process of ethanol production. The robustness under heat, acetic acid, and furfural stresses was improved for ethanologenic S. cerevisiae in this work using genome shuffling. Recombinant yeast strain R32 could grow at 45°C, and resist 0.55% (v/v) acetic acid and 0.3% (v/v) furfural at 40°C. When ethanol fermentation was conducted at temperatures ranging from 30 to 42°C, recombinant strain R32 always gave high ethanol production. After 42 h of fermentation at 42°C, 187.6 ± 1.4 g/l glucose was utilized by recombinant strain R32 to produce 81.4 ± 2.7 g/l ethanol, which were respectively 3.4 and 4.1 times those of CE25. After 36 h of fermentation at 40°C with 0.5% (v/v) acetic acid, 194.4 ± 1.2 g/l glucose in the medium was utilized by recombinant strain R32 to produce 84.2 ± 4.6 g/l of ethanol. The extent of glucose utilization and ethanol concentration of recombinant strain R32 were 6.3 and 7.9 times those of strain CE25. The ethanol concentration produced by recombinant strain R32 was 8.9 times that of strain CE25 after fermentation for 48 h under 0.2% (v/v) furfural stress at 40°C. The strong physiological robustness and fitness of yeast strain R32 support its potential application for industrial production of bioethanol from renewable resources such as lignocelluloses.     

Novel methods of genome shuffling in <Emphasis Type="Italic">Saccharomyces cerevisiae</Emphasis>

Genome shuffling can improve complex phenotypes; however, there are several obstacles towards its broader applicability due to increased complexity of eukaryotic cells. Here, we describe novel, efficient and reliable methods for genome shuffling to increase ethanol production of Saccharomyces cerevisiae. Using yeast sexual and asexual reproduction by itself, mutant diploid cells were shuffled through highly efficient sporulation and adequate cross among the haploid cells, followed by selection on the special plates. The selected strain obtained after three round genome shuffling not only distinctly improved the resistance to ethanol, but also, increased ethanol yield by up to 13% compared with the control.     

耐温性L-谷氨酸发酵菌种的选育

应用基因组改组技术提高,L-谷氨酸生产菌在高温发酵条件下的谷氨酸产量。以天津短杆菌T6—13变异株SW07-1为原始亲株,分别经紫外线（UV）-硫酸二乙酯（DES）和X射线诱变,获得5株耐温性能略有提高的突变菌株。经2轮基因组改组,获得耐高温（能在44℃生长）的L-谷氨酸菌株F2-50。F2—50在38℃下,摇瓶发酵40h,发酵液中L-谷氨酸浓度比原始出发菌株提高了近41％,在41℃高温下,摇瓶发酵40h,L-谷氨酸浓度比原始出发菌株提高了近2倍。     

Genome shuffling to improve thermotolerance,ethanol tolerance and ethanol productivity of <Emphasis Type="Italic">Saccharomyces cerevisiae</Emphasis>

Genome shuffling is a powerful strategy for rapid engineering of microbial strains for desirable industrial phenotypes. Here we improved the thermotolerance and ethanol tolerance of an industrial yeast strain SM-3 by genome shuffling while simultaneously enhancing the ethanol productivity. The starting population was generated by protoplast ultraviolet irradiation and then subjected for the recursive protoplast fusion. The positive colonies from the library, created by fusing the inactivated protoplasts were screened for growth at 35, 40, 45, 50 and 55°C on YPD-agar plates containing different concentrations of ethanol. Characterization of all mutants and wild-type strain in the shake-flask indicated the compatibility of three phenotypes of thermotolerance, ethanol tolerance and ethanol yields enhancement. After three rounds of genome shuffling, the best performing strain, F34, which could grow on plate cultures up to 55°C, was obtained. It was found capable of completely utilizing 20% (w/v) glucose at 45–48°C, producing 9.95% (w/v) ethanol, and tolerating 25% (v/v) ethanol stress.     

Improved ethanol production by a xylose-fermenting recombinant yeast strain constructed through a modified genome shuffling method

ABSTRACT: BACKGROUND: Xylose is the second most abundant carbohydrate in the lignocellulosic biomass hydrolysate. The fermentation of xylose is essential for the bioconversion of lignocelluloses to fuels and chemicals. However the wild-type strains of Saccharomyces cerevisiae are unable to utilize xylose. Many efforts have been made to construct recombinant yeast strains to enhance xylose fermentation over the past few decades. Xylose fermentation remains challenging due to the complexity of lignocellulosic biomass hydrolysate. In this study, a modified genome shuffling method was developed to improve xylose fermentation by S. cerevisiae. Recombinant yeast strains were constructed by recursive DNA shuffling with the recombination of entire genome of P. stipitis with that of S. cerevisiae. RESULTS: After two rounds of genome shuffling and screening, one potential recombinant yeast strain ScF2 was obtained. It was able to utilize high concentration of xylose (100 g/L to 250 g/L xylose) and produced ethanol. The recombinant yeast ScF2 produced ethanol more rapidly than the naturally occurring xylose-fermenting yeast, P. stipitis, with improved ethanol titre and much more enhanced xylose tolerance. CONCLUSION: The modified genome shuffling method developed in this study was more effective and easier to operate than the traditional protoplast fusion based method. Recombinant yeast strain ScF2 obtained in this was a promising candidate for industrial cellulosic ethanol production. In order to further enhance its xylose fermentation performance, ScF2 needs to be additionally improved by metabolic engineering and directed evolution.     

Genome shuffling of Lactobacillus for improved acid tolerance

Fermentation-based bioprocesses rely extensively on strain improvement for commercialization. Whole-cell biocatalysts are commonly limited by low tolerance of extreme process conditions such as temperature, pH, and solute concentration. Rational approaches to improving such complex phenotypes lack good models and are especially difficult to implement without genetic tools. Here we describe the use of genome shuffling to improve the acid tolerance of a poorly characterized industrial strain of Lactobacillus. We used classical strain-improvement methods to generate populations with subtle improvements in pH tolerance, and then shuffled these populations by recursive pool-wise protoplast fusion. We identified new shuffled lactobacilli that grow at substantially lower pH than does the wild-type strain on both liquid and solid media. In addition, we identified shuffled strains that produced threefold more lactic acid than the wild type at pH 4.0. Genome shuffling seems broadly useful for the rapid evolution of tolerance and other complex phenotypes in industrial microorganisms.     

Strain improvement of the pentose-fermenting yeast Pichia stipitis by genome shuffling

Genome shuffling based on cross mating was used to improve the tolerance of the pentose-fermenting yeast Pichia stipitis towards hardwood spent sulphite liquor (HW SSL). Six UV-induced mutants of P. stipitis were used as the starting strains, and they were subjected to 4 rounds of genome shuffling. After each round, improved strains were selected based on their growth on HW SSL gradient plates. Mutant libraries were established after each round and these improved mutant strains served as the starting pool for the next round of shuffling. Apparent tolerance to HW SSL on the gradient plate increased progressively with each round of shuffling up to 4 rounds. Selected improved mutants were further tested for tolerance to liquid HW SSL. After 4 rounds of shuffling, 4 mutants, two from the third round (designated as GS301 and GS302) and two from the fourth round (designated as GS401 and GS402), were selected that could grow in 80% (v/v) HW SSL. GS301 and GS302 grew also in 85% (v/v) HW SSL. GS301 was viable in 90% (v/v) HW SSL, although no increase in cell number was seen. The P. stipitis wild type strain (WT) could not grow on HW SSL unless it was diluted to 65% (v/v) or lower. Genome-shuffled strains with improved tolerance to HW SSL retained their fermentation ability. Fermentation performance of GS301 and GS302, the 2 strains that exhibited the best tolerance to liquid HW SSL, was assessed in defined media and in HW SSL. Both strains utilized 4% (w/v) of xylose or glucose more efficiently and produced more ethanol than the WT. They also utilized 4% (w/v) of mannose or galactose and produced ethanol to the same extent as the WT. GS301 and GS302 were able to produce low levels of ethanol in undiluted HW SSL.     

Genome shuffling of marine derived bacterium <Emphasis Type="Italic">Nocardia</Emphasis> sp. ALAA 2000 for improved ayamycin production

Genome shuffling is a recent development in microbiology. The advantage of this technique is that genetic changes can be made in a microorganism without knowing its genetic background. Genome shuffling was applied to the marine derived bacterium Nocardia sp. ALAA 2000 to achieve rapid improvement of ayamycin production. The initial mutant population was generated by treatment with ethyl methane sulfonate (EMS) combined with UV irradiation of the spores, resulting in an improved population (AL/11, AL/136, AL/213 and AL/277) producing tenfold (150 μg/ml) more ayamycin than the original strain. These mutants were used as the starting strains for three rounds of genome shuffling and after each round improved strains were screened and selected based on their ayamycin productivity. The population after three rounds of genome shuffling exhibited an improved ayamycin yield. Strain F3/22 yielded 285 μg/ml of ayamycin, which was 19-fold higher than that of the initial strain and 1.9-fold higher than the mutants used as the starting point for genome shuffling. We evaluated the genetic effect of UV + EMS-mutagenesis and three rounds of genome shuffling on the nucleotide sequence by random amplified polymorphic DNA (RAPD) analysis. Many differences were noticed in mutant and recombinant strains compared to the wild type strain. These differences in RAPD profiles confirmed the presence of genetic variations in the Nocardia genome after mutagenesis and genome shuffling.     

Ethanol production from selected lignocellulosic hydrolysates by genome shuffled strains of Scheffersomyces stipitis

Two genome-shuffled Scheffersomyces stipitis strains, GS301 and GS302, exhibiting improved tolerance to hardwood spent sulphite liquor, were tested for growth and fermentation performance on three wood hydrolysates: (a) steam-pretreated enzymatically hydrolyzed poplar hydrolysate from Mascoma Canada, (b) steam pretreated poplar hydrolysate from University of British Columbia Forest Products Biotechnology Laboratory, and (c) mixed hardwoods pre-hydrolysate from FPInnovations (FPI). In the FPI hydrolysate, the wild type (WT) died off within 25 h, while GS301 and GS302 survived beyond 100 h. In fermentation tests, GS301 and GS302 completely utilized glucose and xylose in each hydrolysate and produced 0.39–1.4% (w/v) ethanol. In contrast, the WT did not utilize or poorly utilized glucose and xylose and produced non-detectable to trace amounts of ethanol. The results demonstrated cross tolerance of the mutants to inhibitors in three different wood hydrolysates and reinforced the utility of mating-based genome shuffling approach in industrial yeast strain improvement.     

A novel strategy to construct yeast Saccharomyces cerevisiae strains for very high gravity fermentation

Very high gravity (VHG) fermentation is aimed to considerably increase both the fermentation rate and the ethanol concentration, thereby reducing capital costs and the risk of bacterial contamination. This process results in critical issues, such as adverse stress factors (ie., osmotic pressure and ethanol inhibition) and high concentrations of metabolic byproducts which are difficult to overcome by a single breeding method. In the present paper, a novel strategy that combines metabolic engineering and genome shuffling to circumvent these limitations and improve the bioethanol production performance of Saccharomyces cerevisiae strains under VHG conditions was developed. First, in strain Z5, which performed better than other widely used industrial strains, the gene GPD2 encoding glycerol 3-phosphate dehydrogenase was deleted, resulting in a mutant (Z5ΔGPD2) with a lower glycerol yield and poor ethanol productivity. Second, strain Z5ΔGPD2 was subjected to three rounds of genome shuffling to improve its VHG fermentation performance, and the best performing strain SZ3-1 was obtained. Results showed that strain SZ3-1 not only produced less glycerol, but also increased the ethanol yield by up to 8% compared with the parent strain Z5. Further analysis suggested that the improved ethanol yield in strain SZ3-1 was mainly contributed by the enhanced ethanol tolerance of the strain. The differences in ethanol tolerance between strains Z5 and SZ3-1 were closely associated with the cell membrane fatty acid compositions and intracellular trehalose concentrations. Finally, genome rearrangements in the optimized strain were confirmed by karyotype analysis. Hence, a combination of genome shuffling and metabolic engineering is an efficient approach for the rapid improvement of yeast strains for desirable industrial phenotypes.     

Genome shuffling improves thermotolerance and glutamic acid production of <Emphasis Type="Italic">Corynebacteria glutamicum</Emphasis>

Genome shuffling was used to improve the thermotolerance of l-glutamic acid-producing strain Corynebacteria glutamicum. Five strains with subtle improvements in high temperature tolerance and productivity were selected by ultraviolet irradiation and diethyl sulfate mutagenesis. An improved strain (F343) was obtained by three rounds of genome shuffling of the five strains as mentioned above. The cell density of F343 was four times higher than that of ancestor strains after 24 h of cultivation at 44°C, and importantly, the yield of l-glutamic acid was increased by 1.8-times comparing with that of the ancestor strain at 38°C in a 5-L fermentor. With glucose supplement and two-stage pH control, the l-glutamate acid concentration of F343 reached 119 g/L after fermentation for 30 h. The genetic diversity between F343 and its ancestors was also evaluated by amplified fragment length polymorphism analysis. Results suggest that the phenotypes for both thermotolerance and l-glutamic acid production in F343 were evolved.     

耐铵型产琥珀酸放线杆菌的选育

以Actinobacillus succinogenes NJ113为出发菌株,经硫酸二乙酯(DES)诱变,在含8～20 g/L硫酸铵平板中筛选到一株耐铵型突变株YZ25,该菌株在含8 g/L硫酸铵培养基中厌氧发酵,琥珀酸产量达32.68 g/L,比出发菌提高了180.5%,对葡萄糖收率达65.4%,副产物乙酸、甲酸产量分别下降3.5%、28.7%,琥珀酸/乙酸比值由0.63提高到2.5。在7.5 L发酵罐中,用氨水调节pH分批实验,发酵34 h琥珀酸产量达27.13 g/L,较出发菌株提高了85.3%。     

Stress tolerance in doughs of Saccharomyces cerevisiae trehalase mutants derived from commercial Baker's yeast.

Accumulation of trehalose is widely believed to be a critical determinant in improving the stress tolerance of the yeast Saccharomyces cerevisiae, which is commonly used in commercial bread dough. To retain the accumulation of trehalose in yeast cells, we constructed, for the first time, diploid homozygous neutral trehalase mutants (Deltanth1), acid trehalase mutants (Deltaath1), and double mutants (Deltanth1 ath1) by using commercial baker's yeast strains as the parent strains and the gene disruption method. During fermentation in a liquid fermentation medium, degradation of intracellular trehalose was inhibited with all of the trehalase mutants. The gassing power of frozen doughs made with these mutants was greater than the gassing power of doughs made with the parent strains. The Deltanth1 and Deltaath1 strains also exhibited higher levels of tolerance of dry conditions than the parent strains exhibited; however, the Deltanth1 ath1 strain exhibited lower tolerance of dry conditions than the parent strain exhibited. The improved freeze tolerance exhibited by all of the trehalase mutants may make these strains useful in frozen dough.