Inverse Metabolic Engineering Research Articles

From Saccharomyces cerevisiae to Ethanol: Unlocking the Power of Evolutionary Engineering in Metabolic Engineering Applications.

Increased human population and the rapid decline of fossil fuels resulted in a global tendency to look for alternative fuel sources. Environmental concerns about fossil fuel combustion led to a sharp move towards renewable and environmentally friendly biofuels. Ethanol has been the primary fossil fuel alternative due to its low carbon emission rates, high octane content and comparatively facile microbial production processes. In parallel to the increased use of bioethanol in various fields such as transportation, heating and power generation, improvements in ethanol production processes turned out to be a global hot topic. Ethanol is by far the leading yeast output amongst a broad spectrum of bio-based industries. Thus, as a well-known platform microorganism and native ethanol producer, baker's yeast Saccharomyces cerevisiae has been the primary subject of interest for both academic and industrial perspectives in terms of enhanced ethanol production processes. Metabolic engineering strategies have been primarily adopted for direct manipulation of genes of interest responsible in mainstreams of ethanol metabolism. To overcome limitations of rational metabolic engineering, an alternative bottom-up strategy called inverse metabolic engineering has been widely used. In this context, evolutionary engineering, also known as adaptive laboratory evolution (ALE), which is based on random mutagenesis and systematic selection, is a powerful strategy to improve bioethanol production of S. cerevisiae. In this review, we focus on key examples of metabolic and evolutionary engineering for improved first- and second-generation S. cerevisiae bioethanol production processes. We delve into the current state of the field and show that metabolic and evolutionary engineering strategies are intertwined and many metabolically engineered strains for bioethanol production can be further improved by powerful evolutionary engineering strategies. We also discuss potential future directions that involve recent advancements in directed genome evolution, including CRISPR-Cas9 technology.

Inverse metabolic engineering for improving protein content in Saccharomyces cerevisiae.

Production of Saccharomyces cerevisiae-based single cell protein (SCP) has recently received great attention due to the steady increase in the world's population and environmental issues. In this study, an inverse metabolic engineering approach was applied to improve the production of yeast SCP. Specifically, an S. cerevisiae mutant library, generated using UV-random mutagenesis, was screened for three rounds to isolate mutants with improved protein content and/or concentration. The #1021 mutant strain exhibited a respective 31% and 23% higher amino acid content and concentration than the parental S. cerevisiae D452-2 strain. Notably, the content, concentration, and composition of amino acids produced by the PAN2* strain, with a single nucleotide polymorphism in PAN2 coding for a catalytic subunit of the poly(A)-nuclease (PAN) deadenylation complex, were virtually identical to those produced by the #1021 mutant strain. In a glucose-limited fed-batch fermentation, the PAN2* strain produced 19.5g/L amino acids in 89h, which was 16% higher than that produced by the parental D452-2 strain. This study highlights the benefits of inverse metabolic engineering for enhancing the production titer and yield of target molecules without prior knowledge of rate-limiting steps involved in their biosynthetic pathways. This article is protected by copyright. All rights reserved.

Engineering high-gravity fermentations for ethanol production at elevated temperature with Saccharomyces cerevisiae.

Thermal damage, high osmolarity, and ethanol toxicity in the yeast Saccharomyces cerevisiae limit titer and productivity in fermentationto produce ethanol. We show that long-term adaptive laboratory evolution at 39.5°C generates thermotolerant yeast strains, which increased ethanol yield and productivity by 10% and 70%, in 2% glucose fermentations. From these strains, which also tolerate elevated-osmolarity, we selected a stable one, namely a strain lacking chromosomal duplications. This strain (TTY23) showed reduced mitochondrial metabolism and high proton efflux, and therefore lower ethanol tolerance. This maladaptation was bolstered by reestablishing proton homeostasis through increasing fermentation pH from 5 to 6 and/or adding potassium to the media. This change allowed the TTY23 strain to produce 1.3-1.6 times more ethanol than the parental strain in fermentations at 40°C with glucose concentrations ~300 g/L. Furthermore, ethanol titers and productivities up to 93.1 and 3.87 g·L -1 ·hr -1 were obtained from fermentations with 200 g/L glucose in potassium-containing media at 40°C. Albeit the complexity of cellular responses to heat, ethanol, and high osmolarity, in this studywe overcome such limitations by an inverse metabolic engineering approach.

Functional development and performance enhancement of probiotics

Several new kinds of diseases posing serious threat to human life have developed owing to the drastic changes in living environment, eating habits, and lifestyle. Concomitantly, there has been a gradual increase in health awareness among people, and probiotics have gained much attention for its excellent health benefits. Probiotics are live microorganisms, mainly bacteria such as Lactobacillus , Lactococcus , Bifidobacterium , Leuconostoc , and Streptococcus , which benefit human health, especially the digestive system. Probiotics have been reported to improve constipation, reduce diarrhea, decrease the content of cholesterol, enhance immunity, and protect oral health. Moreover, they have been associated with anti-tumor effects and positive effects towards prevention and treatment of autism and depression. Currently, probiotics dietary supplements and non-prescription drugs are widely used in the field of medicine. With the gradual improvement in research tools, newer functions of probiotics and insights into its relationship with diseases continue to emerge. Thus, it is important to further engage in the basic research of probiotics and explore new functions in the field of disease prevention. Meanwhile, inevitably, probiotics production faces a variety of stresses from the external environment, such as acid stress caused by lactic acid accumulation in the fermentation process, freezing stress during formulation, and osmotic stresses at various production stages. These adverse conditions affect the normal metabolism and survival of strains, thus inhibiting their probiotic effects. Therefore, it is essential to improve the stress tolerance of strains and strengthen the performance of probiotics. Recent developments in biotechnology, including microbial community analysis and high throughput screening, and evolutionary techniques can improve the efficiency of strain screening. Evolutionary engineering, including mutagenesis techniques, adaptive laboratory evolution, and genome evolution, is a valuable method to promote the phenotype or physiological characteristics of strains. Moreover, using systems biology, we can examine the effects of mutant strains as probiotics and even apply inverse metabolic engineering approaches to improve microbial characteristics and get the desired phenotype. This comprehensive review describes the main methods and principles used in functional development and performance enhancement of probiotics, and summarizes their effects in the prevention and treatment of various diseases. The aim of this review is to provide an understanding of the multiple functions of probiotics and provide a perspective on the challenges faced in the probiotics industry so as to trigger development of better industrial processes for probiotics production.

Alterations in the transcription factors GntR1 and RamA enhance the growth and central metabolism of Corynebacterium glutamicum

Evolution, i.e. the change in heritable characteristics of biological populations over successive generations, has created the diversity of life that exists today. In this study we have harnessed evolution to create faster growing mutants of Corynebacterium glutamicum, i.e. to debottleneck growth rate of this highly important industrial workhorse. After approximately 1500 generations of Adaptive Laboratory Evolution (ALE) in defined minimal medium with glucose, we obtained faster growing mutants with specific growth rate as high as 0.64 h−1 as compared with 0.45 h−1 for the wild type, and this 42% improvement is the highest reported for C. glutamicum to date. By genome resequencing and inverse metabolic engineering, we were able to pinpoint two mutations contributing to most of the growth improvement, and these resided in the transcriptional regulators GntR1 (gntR1-E70K) and RamA (ramA-A52V). We confirmed that the two mutations lead to alteration rather than elimination of function, and their introduction in the wild-type background resulted in a specific growth rate of 0.62 h−1. The glycolytic and pentose phosphate pathway fluxes had both increased significantly, and a transcriptomic analyses supported this to be associated with increased capacity. Interestingly, the observed fast growth phenotype was not restricted to glucose but was also observed on fructose, sucrose and xylose, however, the effect of the mutations could only be seen in minimal medium, and not rich BHI medium, where growth was already fast. We also found that the mutations could improve the performance of resting cells, under oxygen-deprived conditions, where an increase in sugar consumption rate of around 30% could be achieved. In conclusion, we have demonstrated that it is feasible to reprogram C. glutamicum into growing faster and thus enhance its industrial potential.

Evolutionary engineering of industrial microorganisms-strategies and applications.

Microbial cells have been widely used in the industry to obtain various biochemical products, and evolutionary engineering is a common method in biological research to improve their traits, such as high environmental tolerance and improvement of product yield. To obtain better integrate functions of microbial cells, evolutionary engineering combined with other biotechnologies have attracted more attention in recent years. Classical laboratory evolution has been proven effective to letting more beneficial mutations occur in different genes but also has some inherent limitations such as a long evolutionary period and uncontrolled mutation frequencies. However, recent studies showed that some new strategies may gradually overcome these limitations. In this review, we summarize the evolutionary strategies commonly used in industrial microorganisms and discuss the combination of evolutionary engineering with other biotechnologies such as systems biology and inverse metabolic engineering. Finally, we prospect the importance and application prospect of evolutionary engineering as a powerful tool especially in optimization of industrial microbial cell factories.

Comparative transcriptomes reveal novel evolutionary strategies adopted by Saccharomyces cerevisiae with improved xylose utilization capability

Production of ethanol from xylose by recombinant Saccharomyces cerevisiae is suboptimal with slow fermentation rate, compared with that from glucose. In this study, a strain-expressing Scheffersomyces stipitis xylose reductase-xylitol dehydrogenase (XR-XDH) pathway was subjected to adaptive evolution on xylose; this approach generated populations with the significantly improved cell growth and ethanol production rate. Mutants were isolated, and the best one was used for sporulation to generate eight stable mutant strains with improved xylose fermentation ability. They were used in a microarray assay to study the molecular basis of the enhanced phenotype. The enriched transcriptional differences among the eight mutant strains and the native strain revealed novel responses to xylose, which likely contributes to the improved xylose utilization. The upregulated vitamin B1 and B6 biosynthesis indicated that thiamine served as an important cofactor in xylose metabolism and may alleviate the redox stress. The increased expression of genes involved in sulfur amino acid biosynthesis and the decreased expression of genes related to Fe(II) transport may alleviate redox stress as well. Meanwhile, it was remarkable that several glucose-repressible genes, including genes of the galactose metabolism, gluconeogenesis, and ethanol catabolism, had a lower expression level after adaptive evolution. Concomitantly, the expression levels of two regulators of the glucose signaling pathway, Rgs2 and Sip4, decreased, indicating a reshaped signaling pathway to xylose after adaptive evolution. Our findings provide new targets for construction of a superior bioethanol producing strain through inverse metabolic engineering.

Physiological and genetic analysis of cellular sodium and lithium response/resistance behavior using the yeast Saccharomyces cerevisiae as a model organism

Abstract: The yeast Saccharomyces cerevisiae is a simple eukaryote and an excellent model organism for molecular biology. In this study, a NaCl-resistant S. cerevisiae mutant obtained by inverse metabolic engineering was used as a model to investigate responses and resistance behavior to NaCl, LiCl, KCl, TMA, spermine and sorbitol stresses., at physiological and genetic levels. The physiological spot test results revealed that the NaCl-resistant yeast mutant showed higher resistance to LiCl and NaCl. Gene expression analysis by qRT-PCR revealed that ENA6 and NHA1 genes of the mutant were induced in the absence and presence of LiCl and NaCl. The dysfunction of Na+/H+ antiporters are related to several diseases such as hypertension, epilepsy, postischemic myocardial arrhythmia, gastric and kidney disease, diarrhea, and glaucoma. Thus, the NaCl-resistant yeast mutant could be used to understand cellular sodium and lithium resistance mechanisms and the function of Na+/H+ antiporters also in higher eukaryotic organisms, including humans. Key words: Saccharomyces cerevisiae, stress resistance, salt-resistance , lithium resistance, NHA1

Mutation of a regulator Ask10p improves xylose isomerase activity through up-regulation of molecular chaperones in Saccharomyces cerevisiae

Economically feasible bioconversion of lignocelluloses into fuels and chemicals is dependent on efficient utilization of all available sugars in lignocellulosic biomass, including hextose and pentose. Previously, we constructed a xylose fermenting strain of Saccharomyces cerevisiae through metabolic engineering and enhanced its xylose utilization capability through evolutionary engineering. However, the key mechanism of improved xylose utilization and xylose isomerase activity was not identified. In this study, we applied the concept of inverse metabolic engineering to identify the factors involved in improving xylose utilization. Genomic sequencing of the evolved strain with fast xylose utilization capability was performed, and mutations possibly affecting xylose utilization were screened. Further genetic analysis of these mutant genes revealed that mutations in ASK10 (both the site-directed mutation ASK10M475R as well as ASK10 deletion), a stress response regulator-encoding gene, improved growth on xylose and enhanced xylose isomerase activity. We found that mutation of Ask10p did not increase xylose isomerase activity through interacting with the xylose isomerase protein or through directly regulating the xylA gene transcription. Although ASK10 deletion increased the copy number of the plasmid and improved the transcription of xylA, the site-direct mutation ASK10M475R did not change the plasmid copy number. Interestingly, we found that both the site-directed mutation ASK10M475R and ASK10 deletion up-regulated the transcription of molecular chaperone-encoding genes HSP26, SSA1 and HSP104, thereby facilitating the protein folding of xylose isomerase and enhancing xylose isomerase activity. This study revealed the important mechanism of chaperones in xylose isomerase activity regulation, and it provides valuable insights for efficient xylose metabolic strain development.

Genome shuffling of Saccharomyces cerevisiae for enhanced glutathione yield and relative gene expression analysis using fluorescent quantitation reverse transcription polymerase chain reaction

Genome shuffling is an efficient and promising approach for the rapid improvement of microbial phenotypes. In this study, genome shuffling was applied to enhance the yield of glutathione produced by Saccharomyces cerevisiae YS86. Six isolates with subtle improvements in glutathione yield were obtained from populations generated by ultraviolet (UV) irradiation and nitrosoguanidine (NTG) mutagenesis. These yeast strains were then subjected to recursive pool-wise protoplast fusion. A strain library that was likely to yield positive colonies was created by fusing the lethal protoplasts obtained from both UV irradiation and heat treatments. After two rounds of genome shuffling, a high-yield recombinant YSF2-19 strain that exhibited 3.2- and 3.3-fold increases in glutathione production in shake flask and fermenter respectively was obtained. Comparative analysis of synthetase gene expression was conducted between the initial and shuffled strains using FQ (fluorescent quantitation) RT-PCR (reverse transcription polymerase chain reaction). Delta CT (threshold cycle) relative quantitation analysis revealed that glutathione synthetase gene (GSH-I) expression at the transcriptional level in the YSF2-19 strain was 9.9-fold greater than in the initial YS86. The shuffled yeast strain has a potential application in brewing, other food, and pharmaceutical industries. Simultaneously, the analysis of improved phenotypes will provide more valuable data for inverse metabolic engineering.

A method for analysis and design of metabolism using metabolomics data and kinetic models: Application on lipidomics using a novel kinetic model of sphingolipid metabolism

We present a model-based method, designated Inverse Metabolic Control Analysis (IMCA), which can be used in conjunction with classical Metabolic Control Analysis for the analysis and design of cellular metabolism. We demonstrate the capabilities of the method by first developing a comprehensively curated kinetic model of sphingolipid biosynthesis in the yeast Saccharomyces cerevisiae. Next we apply IMCA using the model and integrating lipidomics data. The combinatorial complexity of the synthesis of sphingolipid molecules, along with the operational complexity of the participating enzymes of the pathway, presents an excellent case study for testing the capabilities of the IMCA. The exceptional agreement of the predictions of the method with genome-wide data highlights the importance and value of a comprehensive and consistent engineering approach for the development of such methods and models. Based on the analysis, we identified the class of enzymes regulating the distribution of sphingolipids among species and hydroxylation states, with the D-phospholipase SPO14 being one of the most prominent. The method and the applications presented here can be used for a broader, model-based inverse metabolic engineering approach.

Enhanced production of β-carotene in recombinant Saccharomyces cerevisiae by inverse metabolic engineering with supplementation of unsaturated fatty acids

β-Carotene biosynthesis in recombinant Saccharomyces cerevisiae was improved using inverse metabolic engineering. Determination of the transcriptional profiles of mevalonate pathway genes showed that transcription of HMG1, ERG8, ERG19 and ERG20 were induced in recombinant strain compared with the parent strain, whereas the expression of HMG2, ERG12 and IDI showed no significant differences. The contents of ergosterol and unsaturated fatty acids (UFAs) were decreased in recombinant yeast, and ERG9 and OLE1 involved in their syntheses were upregulated, suggesting that an increased demand exists for ergosterol and UFAs in recombinant yeast. Single overexpression of ERG19, ERG12 and ERG20 led to 11.0–32.2% increments in β-carotene content, but caused 22.9% and 13.6% decrements in overexpression of ERG8 and IDI1, respectively. In comparison, supplementation of 60mg/l oleic acid and palmitoleic acid led to 83.7% and 130.2% increments of β-carotene content, respectively, in parallel with recovery of UFA contents in cells. These results suggested that single overexpression of most genes in mevalonate pathway is not an effective approach for enhanced carotenoid production. However, intracellular UFA contents are important for carotenoid biosynthesis, and enriching UFA contents by exogenous supplementation or strengthening their biosynthesis might be a promising strategy to improve carotenoid production in recombinant S. cerevisiae.

Enhancement of fengycin production in Bacillus amyloliquefaciens by genome shuffling and relative gene expression analysis using RT-PCR.

Genome shuffling is an efficient approach for the rapid engineering of microbial strains with desirable industrial phenotypes. In this study, we used genome shuffling in an attempt to improve fengycin production of the wild-type strain Bacillus amyloliquefaciens ES-2-4. After 2 rounds of genome shuffling, a high-yield recombinant F2-72 (FMB72) strain that exhibited 8.30-fold increases in fengycin production was obtained. Comparative analysis of synthetase gene (fenA) expression was conducted between the initial and shuffled strains using fluorescent quantitation RT-PCR. Delta CT (threshold cycle) relative quantitation analysis revealed that fengycin synthetase gene (fenA) expression at the transcriptional level in the FMB72 strain was 12.77-fold greater than in the ES-2-4 wild type. The shuffled strain has a potential application in food and pharmaceutical industries. At the same time, the analysis of improved phenotypes will provide more valuable data for inverse metabolic engineering.

Improved Acetic Acid Resistance in Saccharomyces cerevisiae by Overexpression of the WHI2 Gene Identified through Inverse Metabolic Engineering.

Development of acetic acid-resistant Saccharomyces cerevisiae is important for economically viable production of biofuels from lignocellulosic biomass, but the goal remains a critical challenge due to limited information on effective genetic perturbation targets for improving acetic acid resistance in the yeast. This study employed a genomic-library-based inverse metabolic engineering approach to successfully identify a novel gene target, WHI2 (encoding a cytoplasmatic globular scaffold protein), which elicited improved acetic acid resistance in S. cerevisiae. Overexpression of WHI2 significantly improved glucose and/or xylose fermentation under acetic acid stress in engineered yeast. The WHI2-overexpressing strain had 5-times-higher specific ethanol productivity than the control in glucose fermentation with acetic acid. Analysis of the expression of WHI2 gene products (including protein and transcript) determined that acetic acid induced endogenous expression of Whi2 in S. cerevisiae. Meanwhile, the whi2Δ mutant strain had substantially higher susceptibility to acetic acid than the wild type, suggesting the important role of Whi2 in the acetic acid response in S. cerevisiae. Additionally, overexpression of WHI2 and of a cognate phosphatase gene, PSR1, had a synergistic effect in improving acetic acid resistance, suggesting that Whi2 might function in combination with Psr1 to elicit the acetic acid resistance mechanism. These results improve our understanding of the yeast response to acetic acid stress and provide a new strategy to breed acetic acid-resistant yeast strains for renewable biofuel production.

Transcriptional profiling reveals molecular basis and novel genetic targets for improved resistance to multiple fermentation inhibitors in Saccharomyces cerevisiae.

BackgroundLignocellulosic biomass is a promising source of renewable biofuels. However, pretreatment of lignocellulosic biomass generates fermentation inhibitors that adversely affect the growth of industrial microorganisms such as Saccharomyces cerevisiae and prevent economic production of lignocellulosic biofuels. A critical challenge on developing S. cerevisiae with improved inhibitor resistance lies in incomplete understanding of molecular basis for inhibitor stress response and limited information on effective genetic targets for increasing yeast resistance to mixed fermentation inhibitors. In this study, we applied comparative transcriptomic analysis to determine the molecular basis for acetic acid and/or furfural resistance in S. cerevisiae.ResultsWe recently developed a yeast strain YC1 with superior resistance to acetic acid, furfural, and their mixture through inverse metabolic engineering. In this study, we first determined transcriptional changes through RNA sequencing in YC1 versus the wild-type strain S-C1 under three different inhibitor conditions, including acetic acid alone, furfural alone, and mixture of acetic acid and furfural. The genes associated with stress responses of S. cerevisiae to single and mixed inhibitors were revealed. Specifically, we identified 184 consensus genes that were differentially regulated in response to the distinct inhibitor resistance between YC1 and S-C1. Bioinformatic analysis next revealed key transcription factors (TFs) that regulate these consensus genes. The top TFs identified, Sfp1p and Ace2p, were experimentally tested as overexpression targets for strain optimization. Overexpression of the SFP1 gene improved specific ethanol productivity by nearly four times, while overexpression of the ACE2 gene enhanced the rate by three times in the presence of acetic acid and furfural. Overexpression of SFP1 gene in the resistant strain YC1 further resulted in 42 % increase in ethanol productivity in the presence of acetic acid and furfural, suggesting the effect of Sfp1p in optimizing the yeast strain for improved tolerance to mixed fermentation inhibitor.ConclusionsTranscriptional regulation underlying yeast resistance to acetic acid and furfural was determined. Two transcription factors, Sfp1p and Ace2p, were uncovered for the first time for their functions in improving yeast resistance to mixed fermentation inhibitors. The study demonstrated an omics-guided metabolic engineering framework, which could be developed as a promising strategy to improve complex microbial phenotypes.Electronic supplementary materialThe online version of this article (doi:10.1186/s13068-015-0418-5) contains supplementary material, which is available to authorized users.

Activating and Elucidating Metabolism of Complex Sugars in Yarrowia lipolytica.

The oleaginous yeast Yarrowia lipolytica is an industrially important host for production of organic acids, oleochemicals, lipids, and proteins with broad biotechnological applications. Albeit known for decades, the unique native metabolism of Y. lipolytica for using complex fermentable sugars, which are abundant in lignocellulosic biomass, is poorly understood. In this study, we activated and elucidated the native sugar metabolism in Y. lipolytica for cell growth on xylose and cellobiose as well as their mixtures with glucose through comprehensive metabolic and transcriptomic analyses. We identified 7 putative glucose-specific transporters, 16 putative xylose-specific transporters, and 4 putative cellobiose-specific transporters that are transcriptionally upregulated for growth on respective single sugars. Y. lipolytica is capable of using xylose as a carbon source, but xylose dehydrogenase is the key bottleneck of xylose assimilation and is transcriptionally repressed by glucose. Y. lipolytica has a set of 5 extracellular and 6 intracellular β-glucosidases and is capable of assimilating cellobiose via extra- and intracellular mechanisms, the latter being dominant for growth on cellobiose as a sole carbon source. Strikingly, Y. lipolytica exhibited enhanced sugar utilization for growth in mixed sugars, with strong carbon catabolite activation for growth on the mixture of xylose and cellobiose and with mild carbon catabolite repression of glucose on xylose and cellobiose. The results of this study shed light on fundamental understanding of the complex native sugar metabolism of Y. lipolytica and will help guide inverse metabolic engineering of Y. lipolytica for enhanced conversion of biomass-derived fermentable sugars to chemicals and fuels.

Inverse metabolic engineering based on transient acclimation of yeast improves acid-containing xylose fermentation and tolerance to formic and acetic acids.

Improving the production of ethanol from xylose is an important goal in metabolic engineering of Saccharomyces cerevisiae. Furthermore, S. cerevisiae must produce ethanol in the presence of weak acids (formate and acetate) generated during pre-treatment of lignocellulosic biomass. In this study, weak acid-containing xylose fermentation was significantly improved using cells that were acclimated to the weak acids during pre-cultivation. Transcriptome analyses showed that levels of transcripts for transcriptional/translational machinery-related genes (RTC3 and ANB1) were enhanced by formate and acetate acclimation. Recombinant yeast strains overexpressing RTC3 and ANB1 demonstrated improved ethanol production from xylose in the presence of the weak acids, along with improved tolerance to the acids. Novel metabolic engineering strategy based on the combination of short-term acclimation and system-wide analysis was developed, which can develop stress-tolerant strains in a short period of time, although conventional evolutionary engineering approach has required long periods of time to isolate inhibitor-adapted strains.

Application of Systems Metabolic Engineering in the Microbial Directed Evolution

Rapid advancement of systems biology enable our understanding of cellular properties in physiology, biochemistry, metabolism and regulation. One of the main applications for systems metabolic engineering, based on systems biology, is to increase microbial cells tolerance to their environmental stress and to enhance production of desired products using directed evolution on microbes. The former goal is achieved using global transcriptional mechanism engineering and inverse metabolic engineering; the latter is implemented by the strategies such as designing and inserting optimal pathwyas, reconstructing metabolic networks, in silico knocking-out of genes and wet-lab validation, etc. This paper reviews some technological and applicational developments involve the use of systems mentabolic engineering to solve problems in cellular biological engineering.

Adaptive laboratory evolution of ethanologenic Zymomonas mobilis strain tolerant to furfural and acetic acid inhibitors.

Furfural and acetic acid from lignocellulosic hydrolysates are the prevalent inhibitors to Zymomonas mobilis during cellulosic ethanol production. Developing a strain tolerant to furfural or acetic acid inhibitors is difficul by using rational engineering strategies due to poor understanding of their underlying molecular mechanisms. In this study, strategy of adaptive laboratory evolution (ALE) was used for development of a furfural and acetic acid-tolerant strain. After three round evolution, four evolved mutants (ZMA7-2, ZMA7-3, ZMF3-2, and ZMF3-3) that showed higher growth capacity were successfully obtained via ALE method. Based on the results of profiling of cell growth, glucose utilization, ethanol yield, and activity of key enzymes, two desired strains, ZMA7-2 and ZMF3-3, were achieved, which showed higher tolerance under 7 g/l acetic acid and 3 g/l furfural stress condition. Especially, it is the first report of Z. mobilis strain that could tolerate higher furfural. The best strain, Z. mobilis ZMF3-3, has showed 94.84% theoretical ethanol yield under 3-g/l furfural stress condition, and the theoretical ethanol yield of ZM4 is only 9.89%. Our study also demonstrated that ALE method might also be used as a powerful metabolic engineering tool for metabolic engineering in Z. mobilis. Furthermore, the two best strains could be used as novel host for further metabolic engineering in cellulosic ethanol or future biorefinery. Importantly, the two strains may also be used as novel-tolerant model organisms for the genetic mechanism on the "omics" level, which will provide some useful information for inverse metabolic engineering.

Combinatorial and high-throughput screening approaches for strain engineering.

Microbes have long been used in the industry to produce valuable biochemicals. Combinatorial engineering approaches, new strain engineering tools derived from inverse metabolic engineering, have started to attract attention in recent years, including genome shuffling, error-prone DNA polymerase, global transcription machinery engineering (gTME), random knockout/overexpression libraries, ribosome engineering, multiplex automated genome engineering (MAGE), customized optimization of metabolic pathways by combinatorial transcriptional engineering (COMPACTER), and library construction of "tunable intergenic regions" (TIGR). Since combinatorial approaches and high-throughput screening methods are fundamentally interconnected, color/fluorescence-based, growth-based, and biosensor-based high-throughput screening methods have been reviewed. We believe that with the help of metabolic engineering tools and new combinatorial approaches, plus effective high-throughput screening methods, researchers will be able to achieve better results on improving microorganism performance under stress or enhancing biochemical yield.