Genome-scale model-driven strain design for dicarboxylic acid production in <Emphasis Type="Italic">Yarrowia lipolytica</Emphasis>

Background

Recently, there have been several attempts to produce long-chain dicarboxylic acids (DCAs) in various microbial hosts. Of these, Yarrowia lipolytica has great potential due to its oleaginous characteristics and unique ability to utilize hydrophobic substrates. However, Y. lipolytica should be further engineered to make it more competitive: the current approaches are mostly intuitive and cumbersome, thus limiting its industrial application.

Results

In this study, we proposed model-guided metabolic engineering strategies for enhanced production of DCAs in Y. lipolytica. At the outset, we reconstructed genome-scale metabolic model (GSMM) of Y. lipolytica (iYLI647) by substantially expanding the previous models. Subsequently, the model was validated using three sets of published culture experiment data. It was finally exploited to identify genetic engineering targets for overexpression, knockout, and cofactor modification by applying several in silico strain design methods, which potentially give rise to high yield production of the industrially relevant long-chain DCAs, e.g., dodecanedioic acid (DDDA). The resultant targets include (1) malate dehydrogenase and malic enzyme genes and (2) glutamate dehydrogenase gene, in silico overexpression of which generated additional NADPH required for fatty acid synthesis, leading to the increased DDDA fluxes by 48% and 22% higher, respectively, compared to wild-type. We further investigated the effect of supplying branched-chain amino acids on the acetyl-CoA turn-over rate which is key metabolite for fatty acid synthesis, suggesting their significance for production of DDDA in Y. lipolytica.

Conclusion

In silico model-based strain design strategies allowed us to identify several metabolic engineering targets for overproducing DCAs in lipid accumulating yeast, Y. lipolytica. Thus, the current study can provide a methodological framework that is applicable to other oleaginous yeasts for value-added biochemical production.

     

Repression of fatty-acyl-CoA oxidase-encoding gene expression is not necessarily a determinant of high-level production of dicarboxylic acids in industrial dicarboxylic-acid-producing Candida tropicalis

The synthesis of dicarboxylic acids (DCAs) in Candida tropicalis is thought to be induced by a decrease in fatty acyl-CoA-oxidase activity. However, in the present study we demonstrate that repression of the POX4 gene, encoding fatty acyl-CoA oxidase, does not directly lead to high-level production of DCAs. No fatty acyl-CoA-oxidase activity was detected if the POX4 gene of C. tropicalis strain 1098 (wild-type strain) was disrupted. Furthermore, introduction of the POX4 gene from C. tropicalis strain M1210A3, which is a mutant derived from strain 1098 and is used as an industrial DCA-producing strain, still exhibited low-level fatty acyl-CoA-oxidase activity. Nevertheless, production of DCA was not observed in either case. Furthermore, the increase in acyl-CoA-oxidase activity by expression of the POX4 gene in strain M1210A3 did not reduce high-level production of DCA. These results suggest that alterations in acyl-CoA-oxidase activity are not necessarily related to production of DCA in industrial DCA-producing C. tropicalis M1210A3.     

Automated engineering of synthetic metabolic pathways for efficient biomanufacturing

Metabolic engineering involves the engineering and optimization of processes from single-cell to fermentation in order to increase production of valuable chemicals for health, food, energy, materials and others. A systems approach to metabolic engineering has gained traction in recent years thanks to advances in strain engineering, leading to an accelerated scaling from rapid prototyping to industrial production. Metabolic engineering is nowadays on track towards a truly manufacturing technology, with reduced times from conception to production enabled by automated protocols for DNA assembly of metabolic pathways in engineered producer strains. In this review, we discuss how the success of the metabolic engineering pipeline often relies on retrobiosynthetic protocols able to identify promising production routes and dynamic regulation strategies through automated biodesign algorithms, which are subsequently assembled as embedded integrated genetic circuits in the host strain. Those approaches are orchestrated by an experimental design strategy that provides optimal scheduling planning of the DNA assembly, rapid prototyping and, ultimately, brings forward an accelerated Design-Build-Test-Learn cycle and the overall optimization of the biomanufacturing process. Achieving such a vision will address the increasingly compelling demand in our society for delivering valuable biomolecules in an affordable, inclusive and sustainable bioeconomy.     

Engineering the acetyl-CoA transportation system of candida tropicalis enhances the production of dicarboxylic acid

Dicarboxylic acids (DCAs) can be obtained by oxidizing alkanes by Candida tropicalis. Through alpha-monocarboxylic acids (MCAs), alpha- and omega-oxidation yield alpha- or omega-DCAs, respectively. However, both MCAs and DCAs may be degraded to acetyl-CoA by beta-oxidation, resulting in a limited DCA yield. Acetyl-CoA can be transported into the mitochondrion for the TCA cycle by carnitine acetyltransferase (CAT), by which the energy generation and beta-oxidation are connected. In this paper, we present a method to reconstruct the metabolic pathway by inhibiting the acetyl-CoA transportation system. Metabolic engineering is applied on the acetyl-CoA transportation system, but not the key enzymes in beta-oxidation. Starting with the original strain W10-1, cat heterozygote CZ-15 and cat homozygote CKC-11 were obtained by gene knockout. The CAT specific activity in CZ-15 was about 50% lower than that in W10-1, resulting in a 21.0% increase of the DCA concentration, and a 12% increase of the molar conversion of alkane, reaching 61.6%. However, no CAT activity was detected in CKC-11, and CKC-11 could not grow on alkane. These results indicate that inhibition of beta-oxidation via reconstruction of the transportation process between organelles can facilitate DCA production, but that totally blocking the & betagr;-oxidation would be harmful for energy supply. We thus provide a novel insight into regulation of the beta-oxidation system and metabolic flux. Further understanding of beta-oxidation and the acetyl-CoA transportation system in Candida tropicalis is reached through examination of fermentation data by metabolic flux analysis.     

Microbial interactions during sugar cane must fermentation for bioethanol production: does quorum sensing play a role?

Microbial interactions represent important modulatory role in the dynamics of biological processes. During bioethanol production from sugar cane must, the presence of lactic acid bacteria (LAB) and wild yeasts is inevitable as they originate from the raw material and industrial environment. Increasing the concentration of ethanol, organic acids, and other extracellular metabolites in the fermentation must are revealed as wise strategies for survival by certain microorganisms. Despite this, the co-existence of LAB and yeasts in the fermentation vat and production of compounds such as organic acids and other extracellular metabolites result in reduction in the final yield of the bioethanol production process. In addition to the competition for nutrients, reduction of cellular viability of yeast strain responsible for fermentation, flocculation, biofilm formation, and changes in cell morphology are listed as important factors for reductions in productivity. Although these consequences are scientifically well established, there is still a gap about the physiological and molecular mechanisms governing these interactions. This review aims to discuss the potential occurrence of quorum sensing mechanisms between bacteria (mainly LAB) and yeasts and to highlight how the understanding of such mechanisms can result in very relevant and useful tools to benefit the biofuels industry and other sectors of biotechnology in which bacteria and yeast may co-exist in fermentation processes.     

Metabolic engineering of Escherichia coli for the production of benzoic acid from glucose

Benzoic acid (BA) is an important platform aromatic compound in chemical industry and is widely used as food preservatives in its salt forms. Yet, current manufacture of BA is dependent on petrochemical processes under harsh conditions. Here we report the de novo production of BA from glucose using metabolically engineered Escherichia coli strains harboring a plant-like β-oxidation pathway or a newly designed synthetic pathway. First, three different natural BA biosynthetic pathways originated from plants and one synthetically designed pathway were systemically assessed for BA production from glucose by in silico flux response analyses. The selected plant-like β-oxidation pathway and the synthetic pathway were separately established in E. coli by expressing the genes encoding the necessary enzymes and screened heterologous enzymes under optimal plasmid configurations. BA production was further optimized by applying several metabolic engineering strategies to the engineered E. coli strains harboring each metabolic pathway, which included enhancement of the precursor availability, removal of competitive reactions, transporter engineering, and reduction of byproduct formation. Lastly, fed-batch fermentations of the final engineered strain harboring the β-oxidation pathway and the strain harboring the synthetic pathway were conducted, which resulted in the production of 2.37 ± 0.02 g/L and 181.0 ± 5.8 mg/L of BA from glucose, respectively; the former being the highest titer reported by microbial fermentation. The metabolic engineering strategies developed here will be useful for the production of related aromatics of high industrial interest.     

Advances in bio‐based production of dicarboxylic acids longer than C4

Growing concerns of environmental pollution and fossil resource shortage are major driving forces for bio‐based production of chemicals traditionally from petrochemical industry. Dicarboxylic acids (DCAs) are important platform chemicals with large market and wide applications, and here the recent advances in bio‐based production of straight‐chain DCAs longer than C4 from biological approaches, especially by synthetic biology, are reviewed. A couple of pathways were recently designed and demonstrated for producing DCAs, even those ranging from C5 to C15, by employing respective starting units, extending units, and appropriate enzymes. Furthermore, in order to achieve higher production of DCAs, enormous efforts were made in engineering microbial hosts that harbored the biosynthetic pathways and in improving properties of biocatalytic elements to enhance metabolic fluxes toward target DCAs. Here we summarize and discuss the current advantages and limitations of related pathways, and also provide perspectives on synthetic pathway design and optimization for hyper‐production of DCAs.     

Applications of metabolic modeling to drive bioprocess development for the production of value-added chemicals

Increasing numbers of value added chemicals are being produced using microbial fermentation strategies. Computational modeling and simulation of microbial metabolism is rapidly becoming an enabling technology that is driving a new paradigm to accelerate the bioprocess development cycle. In particular, constraint-based modeling and the development of genome-scale models of industrial microbes are finding increasing utility across many phases of the bioprocess development workflow. Herein, we review and discuss the requirements and trends in the industrial application of this technology as we build toward integrated computational/experimental platforms for bioprocess engineering. Specifically we cover the following topics: (1) genome-scale models as genetically and biochemically consistent representations of metabolic networks; (2) the ability of these models to predict, assess, and interpret metabolic physiology and flux states of metabolism; (3) the model-guided integrative analysis of high throughput ‘omics’ data; (4) the reconciliation and analysis of on- and off-line fermentation data as well as flux tracing data; (5) model-aided strain design strategies and the integration of calculated biotransformation routes; and (6) control and optimization of the fermentation processes. Collectively, constraint-based modeling strategies are impacting the iterative characterization of metabolic flux states throughout the bioprocess development cycle, while also driving metabolic engineering strategies and fermentation optimization.     

Systems metabolic engineering design: Fatty acid production as an emerging case study

Increasing demand for petroleum has stimulated industry to develop sustainable production of chemicals and biofuels using microbial cell factories. Fatty acids of chain lengths from C₆ to C₁₆ are propitious intermediates for the catalytic synthesis of industrial chemicals and diesel‐like biofuels. The abundance of genetic information available for Escherichia coli and specifically, fatty acid metabolism in E. coli, supports this bacterium as a promising host for engineering a biocatalyst for the microbial production of fatty acids. Recent successes rooted in different features of systems metabolic engineering in the strain design of high‐yielding medium chain fatty acid producing E. coli strains provide an emerging case study of design methods for effective strain design. Classical metabolic engineering and synthetic biology approaches enabled different and distinct design paths towards a high‐yielding strain. Here we highlight a rational strain design process in systems biology, an integrated computational and experimental approach for carboxylic acid production, as an alternative method. Additional challenges inherent in achieving an optimal strain for commercialization of medium chain‐length fatty acids will likely require a collection of strategies from systems metabolic engineering. Not only will the continued advancement in systems metabolic engineering result in these highly productive strains more quickly, this knowledge will extend more rapidly the carboxylic acid platform to the microbial production of carboxylic acids with alternate chain‐lengths and functionalities. Biotechnol. Biotechnol. Bioeng. 2014;111: 849–857. © 2014 Wiley Periodicals, Inc.     

Fermentative butanol production by Clostridia

Butanol is an aliphatic saturated alcohol having the molecular formula of C(4)H(9)OH. Butanol can be used as an intermediate in chemical synthesis and as a solvent for a wide variety of chemical and textile industry applications. Moreover, butanol has been considered as a potential fuel or fuel additive. Biological production of butanol (with acetone and ethanol) was one of the largest industrial fermentation processes early in the 20th century. However, fermentative production of butanol had lost its competitiveness by 1960s due to increasing substrate costs and the advent of more efficient petrochemical processes. Recently, increasing demand for the use of renewable resources as feedstock for the production of chemicals combined with advances in biotechnology through omics, systems biology, metabolic engineering and innovative process developments is generating a renewed interest in fermentative butanol production. This article reviews biotechnological production of butanol by clostridia and some relevant fermentation and downstream processes. The strategies for strain improvement by metabolic engineering and further requirements to make fermentative butanol production a successful industrial process are also discussed.     

氨基酸生产的代谢工程研究进展与发展趋势

氨基酸发酵是我国发酵工业的支柱产业,近年来,随着代谢工程的快速发展,氨基酸的代谢工程育种蓬勃发展。传统的正向代谢工程、基于组学分析与计算机模拟的反向代谢工程以及借鉴自然进化的进化代谢工程,都有越来越多的应用。在氨基酸的工业生产中涌现出了一系列具有高效生产、抗逆性强等优良性状的菌株。日益剧烈的市场竞争对菌株的选育提出了新的要求,如开发高附加值氨基酸品种、菌株代谢的动态调控、适应新工艺的要求等。文中介绍了氨基酸生产相关的代谢工程研究进展以及未来的发展趋势。     

Metabolic engineering of Saccharomyces cerevisiae for lactose/whey fermentation

Lactose is an interesting carbon source for the production of several bio-products by fermentation, primarily because it is the major component of cheese whey, the main by-product of dairy activities. However, the microorganism more widely used in industrial fermentation processes, the yeast Saccharomyces cerevisiae, does not have a lactose metabolization system. Therefore, several metabolic engineering approaches have been used to construct lactose-consuming S. cerevisiae strains, particularly involving the expression of the lactose genes of the phylogenetically related yeast Kluyveromyces lactis, but also the lactose genes from Escherichia coli and Aspergillus niger, as reviewed here. Due to the existing large amounts of whey, the production of bio-ethanol from lactose by engineered S. cerevisiae has been considered as a possible route for whey surplus. Emphasis is given in the present review on strain improvement for lactose-to-ethanol bioprocesses, namely flocculent yeast strains for continuous high-cell-density systems with enhanced ethanol productivity.     

Repeated-batch fermentation of lignocellulosic hydrolysate to ethanol using a hybrid Saccharomyces cerevisiae strain metabolically engineered for tolerance to acetic and formic acids

A major challenge associated with the fermentation of lignocellulose-derived hydrolysates is improved ethanol production in the presence of fermentation inhibitors, such as acetic and formic acids. Enhancement of transaldolase (TAL) and formate dehydrogenase (FDH) activities through metabolic engineering successfully conferred resistance to weak acids in a recombinant xylose-fermenting Saccharomyces cerevisiae strain. Moreover, hybridization of the metabolically engineered yeast strain improved ethanol production from xylose in the presence of both 30 mM acetate and 20 mM formate. Batch fermentation of lignocellulosic hydrolysate containing a mixture of glucose, fructose and xylose as carbon sources, as well as the fermentation inhibitors, acetate and formate, was performed for five cycles without any loss of fermentation capacity. Long-term stability of ethanol production in the fermentation phase was not only attributed to the coexpression of TAL and FDH genes, but also the hybridization of haploid strains.     

Biobased production of alkanes and alkenes through metabolic engineering of microorganisms

Advancement in metabolic engineering of microorganisms has enabled bio-based production of a range of chemicals, and such engineered microorganism can be used for sustainable production leading to reduced carbon dioxide emission there. One area that has attained much interest is microbial hydrocarbon biosynthesis, and in particular, alkanes and alkenes are important high-value chemicals as they can be utilized for a broad range of industrial purposes as well as ‘drop-in’ biofuels. Some microorganisms have the ability to biosynthesize alkanes and alkenes naturally, but their production level is extremely low. Therefore, there have been various attempts to recruit other microbial cell factories for production of alkanes and alkenes by applying metabolic engineering strategies. Here we review different pathways and involved enzymes for alkane and alkene production and discuss bottlenecks and possible solutions to accomplish industrial level production of these chemicals by microbial fermentation.     

芳香族化合物微生物代谢工程研究进展

代谢工程从20世纪90年代初期发展至今已有近30年历史,对微生物菌种改良和选育工作起到了极大的推动作用。芳香族化合物是一类可以通过微生物发酵生产的化学品,广泛应用于医药、食品、饲料和材料等领域。利用代谢工程手段对莽草酸和芳香族氨基酸合成途径进行理性改造,微生物细胞可以定向地大量积累人们需要的各种芳香族化合物。笔者对近30年来国内外代谢工程改造微生物合成各种芳香族化合物的研究策略和生物合成途径进行了梳理和总结,以期为开展相关研究提供参考。     

Metabolically engineered <Emphasis Type="Italic">Escherichia coli</Emphasis> for biotechnological production of four-carbon 1,4-dicarboxylic acids

Confronted with inescapable exhaustion of the earth’s fossil energy resources, the bio-based process to produce industrial chemicals is receiving significant interest. Biotechnological production of four-carbon 1,4-dicarboxylic acids (C4 diacids) from renewable plant biomass is a promising and attractive alternative to conventional chemistry routes. Although the C4 diacids pathway is well characterized and microorganisms able to convert biomass to these acids have been isolated and described, much still has to be done to make this process economically feasible. Metabolically engineered Escherichia coli has been developed as a biocatalyst to provide new processes for the biosynthesis of many valuable chemicals. However, E. coli does not naturally produce C4 diacids in large quantities. Rational strain development by metabolic engineering based on efficient genetic tools and detailed knowledge of metabolic pathways are crucial to successful production of these compounds. This review summarizes recent efforts and experiences devoted to metabolic engineering of the industrial model bacteria E. coli that led to efficient recombinant biocatalysts for the production of C4 diacids, including succinate, fumarate, malate, oxaloacetate, and aspartate, as well as the key limitations and challenges. Continued advancements in metabolic engineering will help to improve the titers, yields, and productivities of the C4 diacids discussed here.     

Metabolic engineering of flavonoids in plants and microorganisms

Over 9,000 flavonoid compounds have been found in various plants, comprising one of the largest families of natural products. Flavonoids are an essential factor in plant interactions with the environment, often serving as the first line of defense against UV irradiation and pathogen attacks. Flavonoids are also major nutritional compounds in foods and beverages, with demonstrated health benefits. Some flavonoids are potent antioxidants, and specific flavonoid compounds are beneficial in many physiological and pharmacological processes. Therefore, engineering of flavonoid biosynthesis in plants or in microorganisms has significant scientific and economical importance. Construction of biosynthetic pathways in heterologous systems offers promising results for large-scale flavonoid production by fermentation or bioconversion. Genomics and metabolomics now offer unprecedented tools for detailed understanding of the engineered transgenic organism and for developing novel technologies to further increase flavonoid production yields. We summarize some of the recent metabolic engineering strategies in plants and microorganisms, with a focus on applications of metabolic flux analysis. We are confident that these engineering approaches will lead to successful industrial flavonoid production in the near future.     

提高微生物油脂生产能力的研究进展

微生物油脂是生物柴油生产领域具有广阔前景的新油脂资源。然而, 利用产油微生物进行油脂的工业化生产仍存在限氮条件下油脂生产强度不够高、对廉价高氮生物质原料的利用效率低等瓶颈问题。随着近年来发酵工程、生物信息学及分子生物学技术的发展, 国内外研究者利用不同策略优化微生物油脂的生产条件, 并对其油脂积累代谢途径进行改造, 旨在获得适用于工业化生产的产油性能优良的油脂菌。本综述总结了国内外利用生化工程、基因工程以及新兴的转录因子工程策略提高产油微生物油脂生产强度和扩大产油微生物廉价底物利用范围方面的研究进展, 并展望了基于组学研究、模块途径工程以及反向代谢工程的综合策略在理性改造产油微生物以提高其油脂发酵性能中的应用。     

Metabolic engineering advances and prospects for amino acid production

Amino acid fermentation is one of the major pillars of industrial biotechnology. The multi-billion USD amino acid market is rising steadily and is diversifying. Metabolic engineering is no longer focused solely on strain development for the bulk amino acids L-glutamate and L-lysine that are produced at the million-ton scale, but targets specialty amino acids. These demands are met by the development and application of new metabolic engineering tools including CRISPR and biosensor technologies as well as production processes by enabling a flexible feedstock concept, co-production and co-cultivation schemes. Metabolic engineering advances are exemplified for specialty proteinogenic amino acids, cyclic amino acids, omega-amino acids, and amino acids functionalized by hydroxylation, halogenation and N-methylation.     

High-throughput screening for high-efficiency small-molecule biosynthesis

Systems metabolic engineering faces the formidable task of rewiring microbial metabolism to cost-effectively generate high-value molecules from a variety of inexpensive feedstocks for many different applications. Because these cellular systems are still too complex to model accurately, vast collections of engineered organism variants must be systematically created and evaluated through an enormous trial-and-error process in order to identify a manufacturing-ready strain. The high-throughput screening of strains to optimize their scalable manufacturing potential requires execution of many carefully controlled, parallel, miniature fermentations, followed by high-precision analysis of the resulting complex mixtures. This review discusses strategies for the design of high-throughput, small-scale fermentation models to predict improved strain performance at large commercial scale. Established and promising approaches from industrial and academic groups are presented for both cell culture and analysis, with primary focus on microplate- and microfluidics-based screening systems.