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.     

Genome-shuffling improved acid tolerance and L-lactic acid volumetric productivity in Lactobacillus rhamnosus

Genome shuffling is an efficient approach for the rapid improvement of industrially important microbial phenotypes. Here we improved the acid tolerance and volumetric productivity of an industrial strain Lactobacillus rhamnosus ATCC 11443 by genome shuffling. Five strains with subtle improvements in pH tolerance and volumetric productivity were obtained from the populations generated by ultraviolet irradiation and nitrosoguanidine mutagenesis, and then they were subjected for recursive protoplast fusion. A library that was more likely to yield positive colonies was created by fusing the lethal protoplasts obtained from both ultraviolet irradiation and heat treatments. After three rounds of genome shuffling, four strains that could grow at pH 3.6 were obtained. We observed 3.1- and 2.6-fold increases in lactic acid production and cell growth of the best performing at pH 3.8, respectively. The maximum volumetric productivity was 5.77+/-0.05 g/lh when fermented with 10% glucose under neutralizing condition with CaCO(3), which was 26.5+/-1.5% higher than the wild type.     

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.     

Drug resistance marker-aided genome shuffling to improve acetic acid tolerance in <Emphasis Type="Italic">Saccharomyces cerevisiae</Emphasis>

Acetic acid existing in a culture medium is one of the most limiting constraints in yeast growth and viability during ethanol fermentation. To improve acetic acid tolerance in Saccharomyces cerevisiae strains, a drug resistance marker-aided genome shuffling approach with higher screen efficiency of shuffled mutants was developed in this work. Through two rounds of genome shuffling of ultraviolet mutants derived from the original strain 308, we obtained a shuffled strain YZ2, which shows significantly faster growth and higher cell viability under acetic acid stress. Ethanol production of YZ2 (within 60 h) was 21.6% higher than that of 308 when 0.5% (v/v) acetic acid was added to fermentation medium. Membrane integrity, higher in vivo activity of the H⁺-ATPase, and lower oxidative damage after acetic acid treatment are the possible reasons for the acetic acid-tolerance phenotype of YZ2. These results indicated that this novel genome shuffling approach is powerful to rapidly improve the complex traits of industrial yeast strains.     

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.     

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.     

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.     

Evolutionary engineering by genome shuffling

An upsurge in the bioeconomy drives the need for engineering microorganisms with increasingly complex phenotypes. Gains in productivity of industrial microbes depend on the development of improved strains. Classical strain improvement programmes for the generation, screening and isolation of such mutant strains have existed for several decades. An alternative to traditional strain improvement methods, genome shuffling, allows the directed evolution of whole organisms via recursive recombination at the genome level. This review deals chiefly with the technical aspects of genome shuffling. It first presents the diversity of organisms and phenotypes typically evolved using this technology and then reviews available sources of genetic diversity and recombination methodologies. Analysis of the literature reveals that genome shuffling has so far been restricted to microorganisms, both prokaryotes and eukaryotes, with an overepresentation of antibiotics- and biofuel-producing microbes. Mutagenesis is the main source of genetic diversity, with few studies adopting alternative strategies. Recombination is usually done by protoplast fusion or sexual recombination, again with few exceptions. For both diversity and recombination, prospective methods that have not yet been used are also presented. Finally, the potential of genome shuffling for gaining insight into the genetic basis of complex phenotypes is also discussed.     

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.     

Improving ethanol fermentation performance of Saccharomyces cerevisiae in very high-gravity fermentation through chemical mutagenesis and meiotic recombination

Genome shuffling is an efficient way to improve complex phenotypes under the control of multiple genes. For the improvement of strain’s performance in very high-gravity (VHG) fermentation, we developed a new method of genome shuffling. A diploid ste2/ste2 strain was subjected to EMS (ethyl methanesulfonate) mutagenesis followed by meiotic recombination-mediated genome shuffling. The resulting haploid progenies were intrapopulation sterile and therefore haploid recombinant cells with improved phenotypes were directly selected under selection condition. In VHG fermentation, strain WS1D and WS5D obtained by this approach exhibited remarkably enhanced tolerance to ethanol and osmolarity, increased metabolic rate, and 15.12% and 15.59% increased ethanol yield compared to the starting strain W303D, respectively. These results verified the feasibility of the strain improvement strategy and suggested that it is a powerful and high throughput method for development of Saccharomyces cerevisiae strains with desired phenotypes that is complex and cannot be addressed with rational approaches.     

Enhanced Degradation of TNT by Genome-Shuffled Stenotrophomonas maltophilia OK-5

In this study, the enhanced degradation of TNT using cultures of genome-shuffled Stenotrophomonas maltophilia OK-5 mt-3 has been examined and the proteome of shuffled strain was compared to the wild-type OK-5 strain. Genome shuffling of S. maltophilia OK-5 was used to achieve a rapid enhancement of TNT degradation. The initial mutant population was generated by NTG treatment and UV irradiation. The wild-type OK-5 strain was able to degrade 0.2 mM TNT within 6 days, yet barely tolerated 0.5 mM TNT while the shuffled OK-5 mt-3 was capable of completely degrading 0.5 mM TNT within 8 days, and 1.2 mM within 24 days. The proteomic analysis of the shuffled OK-5 mt-3 demonstrated the changes in the expression levels of certain proteins compared to wild-type OK-5. These results provide clues for understanding TNT tolerance and improved TNT degradation by shuffled S. maltophilia OK-5 mt-3 and have possible applications in the processing of industrial waste containing relatively high TNT concentrations.     

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 of Streptomyces viridochromogenes for improved production of avilamycin

Avilamycin is one of EU-approved antimicrobial agents in feed industry to inhibit the growth of multidrug-resistant Gram-positive bacteria. Here, we applied a process of combining ribosome engineering and genome shuffling to achieve rapid improvement of avilamycin production in Streptomyces viridochromogenes AS 4.126. The starting mutant population was generated by ⁶⁰Co γ-irradiation treatments of the spores. After five rounds of protoplast fusion with streptomycin-resistance screening, an improved recombinant E-219 was obtained and its yield of avilamycin reached 1.4 g/L, which was increased by 4.85-fold and 36.8-fold in comparison with that of the shuffling starter Co γ-316 and the ancestor AS 4.126. Furthermore, the mechanism for the improvement of shuffled strains was investigated. Recombinants with enhanced streptomycin resistance exhibited significantly higher avilamycin production and product resistance, probably due to the mutations in the ribosome protein S12. The morphological difference between the parent mutant and shuffled recombinant was observed in conidiospore, and hyphae pellets. The presence of genetic diversity among shuffled populations with varied avilamycin productivity was confirmed by randomly amplified polymorphic DNA analysis. In summary, our results demonstrated that genome shuffling combined with ribosome engineering was a powerful approach for molecular breeding of high-yield industrial strains.     

Coexisting/Coexpressing Genomic Libraries (CoGeL) identify interactions among distantly located genetic loci for developing complex microbial phenotypes

In engineering novel microbial strains for biotechnological applications, beyond a priori identifiable pathways to be engineered, it is becoming increasingly important to develop complex, ill-defined cellular phenotypes. One approach is to screen genomic or metagenomic libraries to identify genes imparting desirable phenotypes, such as tolerance to stressors or novel catabolic programs. Such libraries are limited by their inability to identify interactions among distant genetic loci. To solve this problem, we constructed plasmid- and fosmid-based Escherichia coli Coexisting/Coexpressing Genomic Libraries (CoGeLs). As a proof of principle, four sets of two genes of the l-lysine biosynthesis pathway distantly located on the E. coli chromosome were knocked out. Upon transformation of these auxotrophs with CoGeLs, cells growing without supplementation were found to harbor library inserts containing the knocked-out genes demonstrating the interaction between the two libraries. CoGeLs were also screened to identify genetic loci that work synergistically to create the considerably more complex acid-tolerance phenotype. CoGeL screening identified combination of genes known to enhance acid tolerance (gadBC operon and adiC), but also identified the novel combination of arcZ and recA that greatly enhanced acid tolerance by 9000-fold. arcZ is a small RNA that we show increases pH tolerance alone and together with recA.     

Degenerate oligonucleotide gene shuffling (DOGS) and random drift mutagenesis (RNDM): two complementary techniques for enzyme evolution

Improvement of the biochemical characteristics of enzymes has been aided by misincorporation mutagenesis and DNA shuffling. Many gene shuffling techniques result predominantly in the regeneration of unshuffled (parental) molecules. We describe a procedure for gene shuffling using degenerate primers that allows control of the relative levels of recombination between the genes that are shuffled, and reduces the regeneration of unshuffled parental genes. This shuffling procedure avoids the use of endonucleases for gene fragmentation prior to shuffling and allows the inclusion of random mutagenesis of selected portions of the chimeric genes as part of the procedure. We illustrate the use of the shuffling technique with a family of beta-xylanase genes that possess widely different G+C contents. In addition, we introduce a new method (RNDM) for rapid screening of mutants from libraries where no adaptive selection has been imposed on the cells. They are identified only by their retention of enzymatic activity. The combination of RNDM followed by DOGS allows a comprehensive exploration of a protein's functional sequence space.     

Construction of block-shuffled libraries of DNA for evolutionary protein engineering: Y-ligation-based block shuffling

Evolutionary protein engineering is now proceeding to a new stage in which novel technologies, besides the conventional point mutations, to generate a library of proteins, are required. In this context, a novel method for shuffling and rearranging DNA blocks (leading to protein libraries) is reported. A cycle of processes for producing combinatorial diversity was devised and designated Y-ligation-based block shuffling (YLBS). Methodological refinement was made by applying it to the shuffling of module-sized and amino acid-sized blocks. Running three cycles of YLBS with module-sized GFP blocks resulted in a high diversity of an eight-block shuffled library. Partial shuffling of the central four blocks of GFP was performed to obtain in-effect shuffled protein, resulting in an intact arrangement. Shuffling of amino acid monomer-sized blocks by YLBS was also performed and a diversity of more than 10(10) shuffled molecules was attained. The deletion problems encountered during these experiments were shown to be solved by additional measures which tame type IIS restriction enzymes. The frequency of appearance of each block was skewed but was within a permissible range. Therefore, YLBS is the first general method for generating a huge diversity of shuffled proteins, recombining domains, exons and modules with ease.