Stepwise Flux Optimization for Enhanced GABA Production from Acetate in Escherichia coli.

Strategic allocation of metabolic flux is essential for achieving a higher production performance in genetically engineered organisms. Flux optimization between cell growth and chemical production has led to the establishment of cost-effective chemical production methods in microbial cell factories. This effect is amplified when utilizing a low-cost carbon source. γ-Aminobutyric acid (GABA), crucial in pharmaceuticals and biodegradable polymers, can be efficiently produced from acetate, a cost-effective substrate. However, a balanced distribution of acetate-derived flux is essential for optimizing the production without hindering growth. In this study, we demonstrated GABA production from acetate using Escherichia coli by focusing on optimizing the metabolic flux at isocitrate and α-ketoglutarate nodes. Through a series of flux optimizations, the final strain produced 2.54 g/L GABA from 5.91 g/L acetate in 24 h (0.43 g/g yield). These findings suggest that delicate flux balancing with the application of a cheap substrate can contribute to cost-effective production of GABA.

Mobile genetic element-based gene editing and genome engineering: Recent advances and applications.

Genome engineering has revolutionized several scientific fields, ranging from biochemistry and fundamental research to therapeutic uses and crop development. Diverse engineering toolkits have been developed and used to effectively modify the genome sequences of organisms. However, there is a lack of extensive reviews on genome engineering technologies based on mobile genetic elements (MGEs), which induce genetic diversity within host cells by changing their locations in the genome. This review provides a comprehensive update on the versatility of MGEs as powerful genome engineering tools that offers efficient solutions to challenges associated with genome engineering. MGEs, including DNA transposons, retrotransposons, retrons, and CRISPR-associated transposons, offer various advantages, such as a broad host range, genome-wide mutagenesis, efficient large-size DNA integration, multiplexing capabilities, and in situ single-stranded DNA generation. We focused on the components, mechanisms, and features of each MGE-based tool to highlight their cellular applications. Finally, we discussed the current challenges of MGE-based genome engineering and provided insights into the evolving landscape of this transformative technology. In conclusion, the combination of genome engineering with MGE demonstrates remarkable potential for addressing various challenges and advancing the field of genetic manipulation, and promises to revolutionize our ability to engineer and understand the genomes of diverse organisms.

Convergent Synthesis of Two Heterogeneous Fluxes from Glucose and Acetate for High-Yield Citramalate Production.

Biological production of citramalate has garnered attention due to its wide application for food additives and pharmaceuticals, although improvement of yield is known to be challenging. When glucose is used as the sole carbon source, carbon loss through decarboxylation steps for providing acetyl-CoA from pyruvate is inevitable. To avoid this, we engineered a strain to co-utilize glucose and cost-effective acetate while preventing carbon loss for enhancing citramalate production. The production pathway diverged to independently supply the precursors required for the synthesis of citramalate from glucose and acetate, respectively. Moreover, the phosphotransferase system was inactivated and the acetate assimilation pathway and the substrate ratio were optimized to enable the simultaneous and efficient utilization of both carbon sources. This yielded results (5.0 g/L, 0.87 mol/mol) surpassing the yield and titer of the control strain utilizing glucose as the sole carbon source in flask cultures, demonstrating an economically efficient strain redesign strategy for synthesizing various products.

Transcriptional and translational flux optimization at the key regulatory node for enhanced production of naringenin using acetate in engineered Escherichia coli.

As a key molecular scaffold for various flavonoids, naringenin is a value-added chemical with broad pharmaceutical applicability. For efficient production of naringenin from acetate, it is crucial to precisely regulate the carbon flux of the oxaloacetate-phosphoenolpyruvate (OAA-PEP) regulatory node through appropriate pckA expression control, as excessive overexpression of pckA can cause extensive loss of OAA and metabolic imbalance. However, considering the critical impact of pckA on naringenin biosynthesis, the conventional strategy of transcriptional regulation of gene expression is limited in its ability to cover the large and balanced solution space. To overcome this hurdle, in this study, pckA expression was fine-tuned at both the transcriptional and translational levels in a combinatorial expression library for the precise exploration of optimal naringenin production from acetate. Additionally, we identified the effects of regulating pckA expression by validating the correlation between phosphoenolpyruvate kinase (PCK) activity and naringenin production. As a result, the flux-optimized strain exhibited a 49.8-fold increase compared with the unoptimized strain, producing 122.12 mg/L of naringenin. Collectively, this study demonstrated the significance of transcriptional and translational flux rebalancing at the key regulatory node, proposing a pivotal metabolic engineering strategy for the biosynthesis of various flavonoids derived from naringenin using acetate. ONE-SENTENCE SUMMARY: In this study, transcriptional and translational regulation of pckA expression at the crucial regulatory node was conducted to optimize naringenin biosynthesis using acetate in E. coli.

Biosensor-guided discovery and engineering of metabolic enzymes.

A variety of chemicals have been produced through metabolic engineering approaches, and enhancing biosynthesis performance can be achieved by using enzymes with high catalytic efficiency. Accordingly, a number of efforts have been made to discover enzymes in nature for various applications. In addition, enzyme engineering approaches have been attempted to suit specific industrial purposes. However, a significant challenge in enzyme discovery and engineering is the efficient screening of enzymes with the desired phenotype from extensive enzyme libraries. To overcome this bottleneck, genetically encoded biosensors have been developed to specifically detect target molecules produced by enzyme activity at the intracellular level. Especially, the biosensors facilitate high-throughput screening (HTS) of targeted enzymes, expanding enzyme discovery and engineering strategies with advances in systems and synthetic biology. This review examines biosensor-guided HTS systems and highlights studies that have utilized these tools to discover enzymes in diverse areas and engineer enzymes to enhance their properties, such as catalytic efficiency, specificity, and stability.

Recent Progress in Metabolic Engineering of Escherichia coli for the Production of Various C4 and C5-Dicarboxylic Acids.

As an alternative to petrochemical synthesis, well-established industrial microbes, such as Escherichia coli, are employed to produce a wide range of chemicals, including dicarboxylic acids (DCAs), which have significant potential in diverse areas including biodegradable polymers. The demand for biodegradable polymers has been steadily rising, prompting the development of efficient production pathways on four- (C4) and five-carbon (C5) DCAs derived from central carbon metabolism to meet the increased demand via the biosynthesis. In this context, E. coli is utilized to produce these DCAs through various metabolic engineering strategies, including the design or selection of metabolic pathways, pathway optimization, and enhancement of catalytic activity. This review aims to highlight the recent advancements in metabolic engineering techniques for the production of C4 and C5 DCAs in E. coli.

Enzyme activity engineering based on sequence co-evolution analysis.

The utility of engineering enzyme activity is expanding with the development of biotechnology. Conventional methods have limited applicability as they require high-throughput screening or three-dimensional structures to direct target residues of activity control. An alternative method uses sequence evolution of natural selection. A repertoire of mutations was selected for fine-tuning enzyme activities to adapt to varying environments during the evolution. Here, we devised a strategy called sequence co-evolutionary analysis to control the efficiency of enzyme reactions (SCANEER), which scans the evolution of protein sequences and direct mutation strategy to improve enzyme activity. We hypothesized that amino acid pairs for various enzyme activity were encoded in the evolutionary history of protein sequences, whereas loss-of-function mutations were avoided since those are depleted during the evolution. SCANEER successfully predicted the enzyme activities of beta-lactamase and aminoglycoside 3'-phosphotransferase. SCANEER was further experimentally validated to control the activities of three different enzymes of great interest in chemical production: cis-aconitate decarboxylase, α-ketoglutaric semialdehyde dehydrogenase, and inositol oxygenase. Activity-enhancing mutations that improve substrate-binding affinity or turnover rate were found at sites distal from known active sites or ligand-binding pockets. We provide SCANEER to control desired enzyme activity through a user-friendly webserver.

Kinetic compartmentalization by unnatural reaction for itaconate production.

Physical compartmentalization of metabolism using membranous organelles in eukaryotes is helpful for chemical biosynthesis to ensure the availability of substrates from competitive metabolic reactions. Bacterial hosts lack such a membranous system, which is one of the major limitations for efficient metabolic engineering. Here, we employ kinetic compartmentalization with the introduction of an unnatural enzymatic reaction by an engineered enzyme as an alternative strategy to enable substrate availability from competitive reactions through kinetic isolation of metabolic pathways. As a proof of concept, we kinetically isolate the itaconate synthetic pathway from the tricarboxylic acid cycle in Escherichia coli, which is natively separated by mitochondrial membranes in Aspergillus terreus. Specifically, 2-methylcitrate dehydratase is engineered to alternatively catalyze citrate and kinetically secure cis-aconitate for efficient production using a high-throughput screening system. Itaconate production can be significantly improved with kinetic compartmentalization and its strategy has the potential to be widely applicable.