Metabolic engineering of E. coli for β-alanine production using a multi-biosensor enabled approach

Biosensor-based dual-color droplet microfluidic platform for precise high-throughput screening of erythromycin hyperproducers

Biosensor-based droplet microfluidic high-throughput screening is extensively utilized in engineering microbial cell factories for the efficient production of various natural products. Under ideal conditions, biosensors detect product concentrations in the environment and emit corresponding measurable signals. However, bacteria cell growth rates and gene expression are significantly regulated in response to fluctuating environments, leading to substantial heterogeneity in cell density and gene expression among different subpopulations. In droplet environments, where cell density measurement is impractical, this heterogeneity can cause inaccuracies and an increase in false positives during biosensor-based screening, resulting in a significant additional workload for rescreening and verification processes. In this study, we developed modified dual-color, whole-cell Escherichia coli biosensors that report normalized fluorescent outputs, taking into account cell heterogeneity against various environmental stimuli. These biosensors were integrated with a droplet-based microfluidic platform to facilitate dual-color screening of libraries, achieving a superior enrichment ratio and increased droplet uniformity compared to single-color screening in the proof-of-concept attempt. In practical applications, the dual-color biosensor-assisted screening demonstrated 24.2 % and 11.9 % higher positive rates for wild-type Saccharopolyspora erythraea NRRL 23338 and industrial S0-derived mutagenesis libraries, respectively, compared to the single-color method. Additionally, S0-derived erythromycin hyperproducers with up to 19.6 % production improvement were successfully identified. This dual-color biosensor-assisted method enhances screening accuracy and reduces false positives by mitigating the impact of whole-cell biosensor heterogeneity, providing a universal strategy for engineering genetically encoded whole-cell biosensors. This advancement significantly improves high-throughput screening performance for various natural products in biosensor-driven applications.

Intelligent biomanufacturing of water-soluble vitamins

Given the crucial role of water-soluble vitamins in the human body and the rising demand for natural sources, their biosynthesis has gained the attention of researchers. This review offers a comprehensive look at recent progress in water-soluble vitamin biosynthesis, emphasizing synthetic biotechnology for green biomanufacturing. Specifically, it encompasses the optimization of biological components, pathways, and systems, as well as energy metabolism regulation, stress-tolerance enhancement, high-throughput screening, and the upscaling of production processes. It also envisages intelligent biomanufacturing platforms, highlighting the role of systems biology and artificial intelligence (AI), and proposes future research directions, such as integrating AI-driven metabolic models, enzyme engineering, and cell-free systems, to address limitations in the efficiency, toxicity, and scalability of water-soluble vitamin production.

Biosensor-Assisted Multitarget Gene Fine-Tuning for N-Acetylneuraminic Acid Production in Escherichia coli with Sole Carbon Source Glucose

N-Acetylneuraminic acid (NeuAc) is widely used in the food and medical industries. Microbial fermentation has become one of the most important approaches for NeuAc production. However, current research on NeuAc is confronted with challenges, including high production costs, interference from competitive pathways, and low conversion efficiency, all of which impede its efficient production. In this study, an engineered Escherichia coli capable of utilizing glucose as the sole carbon source for NeuAc production was constructed by optimizing the glucose utilization pathway, competitive pathways, and redox balance of NADH/NAD+. Subsequently, pathway genes were systematically upregulated to identify key target genes for improving NeuAc biosynthesis. The gene cluster glmSA*-glmM-SeglmU was identified as the key engineering target. To achieve multitarget coordinated optimization of this gene cluster in vivo, a highly responsive biosensor for NeuAc was developed, exhibiting a maximum response ratio of 10.62-fold. By the construction of random mutation libraries and integration of the NeuAc-responsive biosensor with high-throughput screening using flow cytometry, the expression levels of three key genes were synergistically optimized. As a result, highly efficient NeuAc-producing strain A39 was successfully obtained. In a 3-L bioreactor, the strain achieved a NeuAc titer of 58.26 g·L-1 with a productivity of 0.83 g·L-1·h-1, representing the highest reported production of NeuAc using glucose as the sole carbon source.

Engineering microbial metabolic homeostasis for chemicals production

Microbial-based bio-refining promotes the development of a biotechnology revolution to encounter and tackle the enormous challenges in petroleum-based chemical production by biomanufacturing, biocomputing, and biosensing. Nevertheless, microbial metabolic homeostasis is often incompatible with the efficient synthesis of bioproducts mainly due to: inefficient metabolic flow, robust central metabolism, sophisticated metabolic network, and inevitable environmental perturbation. Therefore, this review systematically summarizes how to optimize microbial metabolic homeostasis by strengthening metabolic flux for improving biotransformation turnover, redirecting metabolic direction for rewiring bypass pathway, and reprogramming metabolic network for boosting substrate utilization. Future directions are also proposed for providing constructive guidance on the development of industrial biotechnology.

Metabolic engineering strategies for L-Homoserine production in Escherichia coli

L-Homoserine, serves as a non-essential precursor for the essential amino acids derived from L-aspartate in both animals and humans. It finds widespread applications across the food, cosmetics, pharmaceutical, and animal feed industries. Microbial fermentation, primarily utilizing Escherichia coli, is the dominant approach for L-Homoserine production. However, despite recent advancements in fermentative processes employing E. coli strains, low production efficiency remains a significant barrier to its commercial viability. This review explores the biosynthesis, secretion, and regulatory mechanisms of L-Homoserine in E. coli while assessing various metabolic engineering strategies aimed at improving production efficiency.

One-Pot Synthesis of β-Alanine from Fumaric Acid via an Efficient Dual-Enzyme Cascade Biotransformation

As the only naturally occurring β-amino acid, β-alanine has important application prospects in many fields. Driven by the huge demand, biosynthesis is becoming more and more popular as a potential alternative to the chemical synthesis of β-alanine. Although the direct pathway from L-aspartic acid to β-alanine, catalyzed by L-aspartic acid-α-decarboxylase (PanD), is ideal for β-alanine synthesis, it is hindered by the high cost of the substrate and limited economic viability. In this work, a cell-free dual enzyme cascade system based on methylaspartate lyase (EcMAL) and panD was constructed to safely and efficiently synthesize β-alanine using fumarate as a substrate. Taking the previously engineered EcMAL as the target, CgPanD was finally screened as the best candidate through gene mining, sequence alignment, and enzyme property analysis. Finally, under the optimal conditions of 35 °C, pH 8.0, and EcMAL: CgPanD concentration ratio of 1:5, the yield of β-alanine reached 80% theoretical yield within 120 min. This study provides a potential strategy for the biosynthesis of β-alanine, paving the way for future industrial-scale production.

Genetically encoded biosensors for the circular plastics bioeconomy

Current plastic production and consumption routes are unsustainable due to impact upon climate change and pollution, and therefore reform across the entire value chain is required. Biotechnology offers solutions for production from renewable feedstocks, and to aid end of life recycling/upcycling of plastics. Biology sequence/design space is complex requiring high-throughput analytical methods to facilitate the iterative optimisation, design-build, test-learn (DBTL), cycle of Synthetic Biology. Furthermore, genetic regulatory tools can enable harmonisation between biotechnological demands and the physiological constraints of the selected production host. Genetically encoded biosensors offer a solution for both requirements to facilitate the circular plastic bioeconomy. In this review we present a summary of biosensors developed to date reported to be responsive to plastic precursors/monomers. In addition, we provide a summary of the demonstrated and prospective applications of these biosensors for the construction and deconstruction of plastics. Collectively, this review provides a valuable resource of biosensor tools and enabled applications to support the development of the circular plastics bioeconomy.

Selective 8-oxo-rG stalling occurs in the catalytic core of polynucleotide phosphorylase (PNPase) during degradation

RNA oxidation, predominantly through the accumulation of 8-oxo-7,8-dihydroguanosine (8-oxo-rG), represents an important biomarker for cellular oxidative stress. Polynucleotide phosphorylase (PNPase) is a 3'-5' exoribonuclease that has been shown to preferentially recognize 8-oxo-rG-containing RNA and protect Escherichia coli cells from oxidative stress. However, the impact of 8-oxo-rG on PNPase-mediated RNA degradation has not been studied. Here, we show that the presence of 8-oxo-rG in RNA leads to catalytic stalling of E. coli PNPase through in vitro RNA degradation experiments and electrophoretic analysis. We also link this stalling to the active site of the enzyme through resolution of single-particle cryo-EM structures for PNPase in complex with singly or doubly oxidized RNA oligonucleotides. Following identification of Arg399 as a key residue in recognition of both single and sequential 8-oxo-rG nucleotides, we perform follow-up in vitro analysis to confirm the importance of this residue in 8-oxo-rG-specific PNPase stalling. Finally, we investigate the effects of mutations to active site residues implicated in 8-oxo-rG binding through E. coli cell growth experiments under H2O2-induced oxidative stress. Specifically, Arg399 mutations show significant effects on cell growth under oxidative stress. Overall, we demonstrate that 8-oxo-rG-specific stalling of PNPase is relevant to bacterial survival under oxidative stress and speculate that this enzyme might associate with other cellular factors to mediate this stress.

Fine and combinatorial regulation of key metabolic pathway for enhanced β-alanine biosynthesis with non-inducible Escherichia coli

β-Alanine is the only β-amino acid in nature and one of the most important three-carbon chemicals. This work was aimed to construct a non-inducible β-alanine producer with enhanced metabolic flux towards β-alanine biosynthesis in Escherichia coli. First of all, the assembled E. coli endogenous promoters and 5'-untranslated regions (PUTR) were screened to finely regulate the combinatorial expression of genes panDBS and aspBCG for an optimal flux match between two key pathways. Subsequently, additional copies of key genes (panDBS K104S and ppc) were chromosomally introduced into the host A1. On these bases, dynamical regulation of the gene thrA was performed to reduce the carbon flux directed in the competitive pathway. Finally, the β-alanine titer reached 10.25 g/L by strain A14-R15, 361.7% higher than that of the original strain. Under fed-batch fermentation in a 5-L fermentor, a titer of 57.13 g/L β-alanine was achieved at 80 h. This is the highest titer of β-alanine production ever reported using non-inducible engineered E. coli. This metabolic modification strategy for optimal carbon flux distribution developed in this work could also be used for the production of various metabolic products.

Metabolic and enzymatic engineering approach for the production of 2-phenylethanol in engineered Escherichia coli

2-Phenylethanol, known for its rose-like odor and antibacterial activity, is synthesized via exogenous phenylpyruvate by the sequential reaction of phenylpyruvate decarboxylase (PDC) and aldehyde reductase. We first targeted ARO10, a phenylpyruvate decarboxylase gene from Saccharomyces cerevisiae, and identified a suitable aldehyde reductase gene. Co-expression of ARO10 and yahK in E. coli transformants yielded 1.1 g/L of 2-phenylethanol in batch culture. We hypothesized that there might be a bottleneck in PDC activity. The computer-based enzyme evolution was utilized to enhance production. The introduction of an amino acid substitution in ARO10 (ARO10 I544W) stabilized the aromatic ring of the phenylpyruvate substrate, increasing 2-phenylethanol yield 4.1-fold compared to wild-type ARO10. Cultivation of ARO10 I544W-expressing E. coli produced 2.5 g/L of 2-phenylethanol with a yield from glucose of 0.16 g/g after 72 h. This approach represents a significant advancement, achieving the highest yield of 2-phenylethanol from glucose using microbes to date.

Engineering a Novel Acetyl-CoA Pathway for Efficient Biosynthesis of Acetyl-CoA-Derived Compounds

Acetyl-CoA is an essential central metabolite in living organisms and a key precursor for various value-added products as well. However, the intracellular availability of acetyl-CoA limits the efficient production of these target products due to complex and strict regulation. Here, we proposed a new acetyl-CoA pathway, relying on two enzymes, threonine aldolase and acetaldehyde dehydrogenase (acetylating), which can convert one l-threonine into one acetyl-CoA, one glycine, and generate one NADH, without carbon loss. Introducing the acetyl-CoA pathway could increase the intracellular concentration of acetyl-CoA by 8.6-fold compared with the wild-type strain. To develop a cost-competitive and genetically stable acetyl-CoA platform strain, the new acetyl-CoA pathway, driven by the constitutive strong promoter, was integrated into the chromosome of Escherichia coli. We demonstrated the practical application of this new acetyl-CoA pathway by high titer production of β-alanine, mevalonate, and N-acetylglucosamine. At the same time, this pathway achieved a high-yield production of glycine, a value-added commodity chemical for the synthesis of glyphosate and thiamphenicol. This work shows the potential of this new acetyl-CoA pathway for the industrial production of acetyl-CoA-derived compounds.

Discovery and Engineering of a Novel Bacterial L-Aspartate α-Decarboxylase for Efficient Bioconversion

L-aspartate α-decarboxylase (ADC) is a pyruvoyl-dependent decarboxylase that catalyzes the conversion of L-aspartate to β-alanine in the pantothenate pathway. The enzyme has been extensively used in the biosynthesis of β-alanine and D-pantothenic acid. However, the broad application of ADCs is hindered by low specific activity. To address this issue, we explored 412 sequences and discovered a novel ADC from Corynebacterium jeikeium (CjADC). CjADC exhibited specific activity of 10.7 U/mg and Km of 3.6 mM, which were better than the commonly used ADC from Bacillus subtilis. CjADC was then engineered leveraging structure-guided evolution and generated a mutant, C26V/I88M/Y90F/R3V. The specific activity of the mutant is 28.8 U/mg, which is the highest among the unknown ADCs. Furthermore, the mutant displayed lower Km than the wild-type enzyme. Moreover, we revealed that the introduced mutations increased the structural stability of the mutant by promoting the frequency of hydrogen-bond formation and creating a more hydrophobic region around the active center, thereby facilitating the binding of L-aspartate to the active center and stabilizing the substrate orientation. Finally, the whole-cell bioconversion showed that C26V/I88M/Y90F/R3V completely transformed 1-molar L-aspartate in 12 h and produced 88.6 g/L β-alanine. Our study not only identified a high-performance ADC but also established a research framework for rapidly screening novel enzymes using a protein database.

p-Nitrobenzoate production from glucose by utilizing p-aminobenzoate N-oxygenase: AurF

Nitroaromatic compounds are widely used in industry, but their production is associated with issues such as the hazardousness of the process and low regioselectivity. Here, we successfully demonstrated the production of p-nitrobenzoate (PNBA) from glucose by constructing p-aminobenzoate N-oxygenase AurF-expressing E. coli. We generated this strain, which we named PN-1 by disrupting four genes involved in PNBA degradation: nfsA, nfsB, nemA, and azoR. We then expressed AurF from Streptomyces thioluteus in this strain, which resulted in the production of 945 mg/L PNBA in the presence of 1 g/L p-aminobenzoate. Direct production of PNBA from glucose was achieved by co-expressing the pabA, pabB, and pabC, as well as aurF, resulting in the production of 393 mg/L PNBA from 20 g/L glucose. To improve the PNBA titer, we disrupted genes involved in competing pathways: pheA, tyrA, trpE, pykA, and pykF. The resultant strain PN-4Ap produced 975 mg/L PNBA after 72 h of cultivation. These results highlight the potential of using microorganisms to produce other nitroaromatic compounds.

Advances in the synthesis of β-alanine

β-Alanine is the only naturally occurring β-type amino acid in nature, and it is also one of the very promising three-carbon platform compounds that can be applied in cosmetics and food additives and as a precursor in the chemical, pharmaceutical and material fields, with very broad market prospects. β-Alanine can be synthesized through chemical and biological methods. The chemical synthesis method is relatively well developed, but the reaction conditions are extreme, requiring high temperature and pressure and strongly acidic and alkaline conditions; moreover, there are many byproducts that require high energy consumption. Biological methods have the advantages of product specificity, mild conditions, and simple processes, making them more promising production methods for β-alanine. This paper provides a systematic review of the chemical and biological synthesis pathways, synthesis mechanisms, key synthetic enzymes and factors influencing β-alanine, with a view to providing a reference for the development of a highly efficient and green production process for β-alanine and its industrialization, as well as providing a basis for further innovations in the synthesis of β-alanine.

Additive Manufacturing of Engineered Living Materials with Bio-augmented Mechanical Properties and Resistance to Degradation

Engineered living materials (ELMs) combine living cells with polymeric matrices to yield unique materials with programmable functions. While the cellular platform and the polymer network determine the material properties and applications, there are still gaps in our ability to seamlessly integrate the biotic (cellular) and abiotic (polymer) components into singular material, then assemble them into devices and machines. Herein, we demonstrated the additive-manufacturing of ELMs wherein bioproduction of metabolites from the encapsulated cells enhanced the properties of the surrounding matrix. First, we developed aqueous resins comprising bovine serum albumin (BSA) and poly(ethylene glycol diacrylate) (PEGDA) with engineered microbes for vat photopolymerization to create objects with a wide array of 3D form factors. The BSA-PEGDA matrix afforded hydrogels that were mechanically stiff and tough for use in load-bearing applications. Second, we demonstrated the continuous in situ production of L-DOPA, naringenin, and betaxanthins from the engineered cells encapsulated within the BSA-PEGDA matrix. These microbial metabolites bioaugmented the properties of the BSA-PEGDA matrix by enhancing the stiffness (L-DOPA) or resistance to enzymatic degradation (betaxanthin). Finally, we demonstrated the assembly of the 3D printed ELM components into mechanically functional bolts and gears to showcase the potential to create functional ELMs for synthetic living machines.