Synthetic N-terminal coding sequences for fine-tuning gene expression and metabolic engineering in Bacillus subtilis

Translation regulation in Bacillus subtilis and its applications in heterologous protein expression: A review

Bacillus subtilis is widely used for industrial enzyme production due to its food safety and good capability of protein synthesis and secretion. However, the production of heterologous proteins is often inefficient, partly due to poor compatibility and versatility of genetic elements in B. subtilis. Recent study shows that transcription and translation is uncoupled in B. subtilis, which is quite different from general knowledge about the transcription-translation coupling mechanism in bacteria. The uncoupling mechanism in B. subtilis shows that the transcription rate is much faster than translation rate. Therefore, the translation regulation will play an important role in highly-effective synthesis of heterologous protein. To better understanding the different regulation strategies at the translation level in B. subtilis, this review will summarize the translation process in B. subtilis cell and its regulatory mechanisms as well as the differences in comparison to other bacteria. Besides, the genetic engineering strategies for engineering the translation regulatory elements are also summarized.

Initiation of Translation in Bacteria and Chloroplasts

Relative rates of protein synthesis in bacteria generally depend on the number of copies of a messenger RNA (mRNA) and the efficiency of their loading with ribosomes. Translation initiation involves the multi-stage assembly of the ribosome on the mRNA to begin protein synthesis. In bacteria, the small ribosomal subunit (30S) and mRNA form a complex that can be supported by RNA-protein and RNA-RNA interactions and is extensively modulated by mRNA folding. The initiator transfer RNA (tRNA) and large ribosomal subunit (50S) are recruited with aid of three initiation factors (IFs). Equivalent translation initiation processes occur in chloroplasts due to their endosymbiotic origin from photosynthetic bacteria. This review first summarizes the molecular basis of translation initiation in bacteria, highlighting recent insight into the initial, intermediate and late stages of the pathway obtained by structural analyses. The molecular basis of chloroplast translation initiation is then reviewed, integrating our mechanistic understanding of bacterial gene expression supported by detailed in vitro experiments with data on chloroplast gene expression derived primarily from genetic studies.

Rational Design of N-Acetylglucosamine-2-epimerase and N-Acetylneuraminic Lyase for Efficient N-Acetylneuraminic Acid Biosynthesis

N-Acetylneuraminic acid (NeuAc) performs a variety of biological activities where it is used as a nutraceutical and pharmaceutical intermediate. N-Acetylglucosamine-2-epimerase (AGE) and N-acetylneuraminic lyase (NAL) are the most widely used key enzymes in the industrial production of NeuAc through whole-cell catalytic synthesis. However, both AGE and NAL catalyze reversible reactions, and the equilibrium of these two reactions lies between substrates and products, resulting in a lower conversion rate of NeuAc. In this study, affinity analysis based on the dynamic docking (ADD) strategy was used to rationally design the AGE and NAL to improve enzymes properties. The variant AGEA172S/C118A showed a 2.19-fold improvement in the catalytic rate. Then, we combinatorially expressed the variant of AGE and NAL in two plasmids for whole cell catalytic synthesis. NeuAc production was 35% higher with the combination of AGEA172S/C118A and NALF252M compared with the wild type. When substrate GlcNAc/Pyruvate was 3:8 and AGEA172S/C118A and NALF252M expressed strains were 1:0.6, the molar conversion rate was 62%. Thus, our modification of AGE and NAL, the key enzymes in producing NeuAc, gave a better AGE variant AGEA172S/C118A, which could produce 128 g/L NeuAc when using low substrate concentration (0.6 M GlcNAc).

Importance of the 5' untranslated region for recombinant enzyme production in isolated Bacillus subtilis 007

The production of industrial enzymes requires an efficient expression system with a suitable host. This study investigated the isolated Bacillus subtilis 007 as a host for expressing three enzymes with potential application in the food industry. Firstly, testing the PaprE and P43 promoters and the corresponding 5' untranslated regions revealed great differences in the production of the recently discovered β-galactosidase from Paenibacillus wnnyii. Expression controlled by the PaprE promoter yielded a significantly higher activity of 2515 µkat/L, compared to 56 µkat/L with the P43 promoter. Modifications on the PaprE core promoter region or the spacer, the sequence between the Shine-Dalgarno sequence and the start codon, did not improve β-galactosidase production. Since the aprE 5' untranslated region contributes to a high mRNA stability, it was incorporated into the P43 construct to determine whether mRNA stability is responsible for the differences observed in β-galactosidase production. Interestingly, mRNA stability was significantly improved and led to a nearly 50-fold higher β-galactosidase production of 2756 µkat/L. This strategy was successfully validated by the expression of two other enzymes: the cellobiose-2-epimerase from Caldicellulosiruptor saccharolyticus and the β-glucosidase from Pyrococcus furiosus. These findings underscored the crucial role of post-transcriptional regulation and emphasized mRNA stability as a key role in recombinant enzyme production in B. subtilis 007.

Characterization and application of Bacillus velezensis D6 co-producing α-amylase and protease

BACKGROUND

Research on the co-production of multiple enzymes by Bacillus velezensis as a novel species is still a topic that needs to be studied. This study aimed to investigate the fermentation characteristics of B. velezensis D6 co-producing α-amylase and protease and to explore their enzymatic properties and applications in fermentation.

RESULTS

The maximum co-production of α-amylase and protease reached 13.13 ± 0.72 and 2106.63 ± 64.42 U mL-1, respectively, under the optimal fermented conditions (nutrients: 20.0 g L-1 urea, 20.0 g L-1 glucose, 0.7 g L-1 MnCl2; incubation conditions: initial pH 7.0, temperature 41 °C, 8% inoculation size and 30% working volume). Moreover, the genetic co-expression of α-amylase and protease increased from 0 to 24 h and then decreased after 36 h at the transcriptional level, which coincided with the growth trend of B. velezensis D6. The optimal reaction temperature of α-amylase was 55-60 °C, while that of protease was 35-40 °C. The activities of α-amylase and protease were retained by over 80% after thermal treatment (90 °C, 1 h), which indicated that two enzymes co-produced by B. velezensis D6 demonstrated excellent thermal stability. Moreover, the two enzymes were stable over a wide pH range (pH 4.0-8.0 for α-amylase; pH 4.0-9.0 for protease). Finally, the degrees of hydrolysis of corn, rice, sorghum and soybeans by α-amylase from B. velezensis D6 reached 44.95 ± 2.95%, 57.16 ± 2.75%, 52.53 ± 4.01% and 20.53 ± 2.42%, respectively, suggesting an excellent hydrolysis effect on starchy raw materials. The hydrolysis degrees of mackerel heads and soybeans by protease were 43.93 ± 2.19% and 26.38 ± 1.72%, respectively, which suggested that the protease from B. velezensis D6 preferentially hydrolyzed animal-based protein.

CONCLUSION

This is a systematic study on the co-production of α-amylase and protease by B. velezensis D6, which is crucial in widening the understanding of this species co-producing multi-enzymes and in exploring its potential application. © 2024 Society of Chemical Industry.

Improvement of cellobiose 2-epimerase expression in Bacillus subtilis for efficient bioconversion of lactose to epilactose

Epilactose, a lactose derivative known for its prebiotic properties and potential health benefits, has garnered significant interest. Cellulose 2-epimerase (CEase) is responsible for catalyzing the conversion of lactose to epilactose. In this study, the enhancement of food-grade CEase expression in Bacillus subtilis WB600 was systematically investigated. Among seven selected epilactose-producing CEases, Rhodothermus marinus CEase (RmCE) exhibited the highest epimerization activity when expressed in B. subtilis. Translational and transcriptional regulations were employed to enhance CEase expression by screening effective N-terminal coding sequences (NCSs) and promoters. The final strain demonstrated efficient production of CEase, with epimerization activity reaching 273.6 ± 6.5 U/mL and 1255 ± 26.4 U/mL in shake-flask and fed-batch cultivation, respectively. Utilizing only 0.25 % (V/V) of the fed-batch cultivation broth for lactose biotransformation, epilactose was efficiently produced from 300 g/L of lactose within 4 h, achieving a yield of 29.5 %. These findings provide significant support for the potential industrialization of enzymatic epilactose production.

Integrating Deep Learning and Synthetic Biology: A Co-Design Approach for Enhancing Gene Expression via N-Terminal Coding Sequences

N-terminal coding sequence (NCS) influences gene expression by impacting the translation initiation rate. The NCS optimization problem is to find an NCS that maximizes gene expression. The problem is important in genetic engineering. However, current methods for NCS optimization such as rational design and statistics-guided approaches are labor-intensive yield only relatively small improvements. This paper introduces a deep learning/synthetic biology codesigned few-shot training workflow for NCS optimization. Our method utilizes k-nearest encoding followed by word2vec to encode the NCS, then performs feature extraction using attention mechanisms, before constructing a time-series network for predicting gene expression intensity, and finally a direct search algorithm identifies the optimal NCS with limited training data. We took green fluorescent protein (GFP) expressed by Bacillus subtilis as a reporting protein of NCSs, and employed the fluorescence enhancement factor as the metric of NCS optimization. Within just six iterative experiments, our model generated an NCS (MLD62) that increased average GFP expression by 5.41-fold, outperforming the state-of-the-art NCS designs. Extending our findings beyond GFP, we showed that our engineered NCS (MLD62) can effectively boost the production of N-acetylneuraminic acid by enhancing the expression of the crucial rate-limiting GNA1 gene, demonstrating its practical utility. We have open-sourced our NCS expression database and experimental procedures for public use.

Engineering Bacillus subtilis for highly efficient production of functional disaccharide lactulose from lactose

Bioconversion of lactose to functional lactose derivatives attracts increasing attention. Lactulose is an important high-value lactose derivative, which has been widely used in pharmaceutical, nutraceutical, and food industries. Lactulose can be enzymatically produced from lactose by cellobiose 2-epimerase (CEase). Several studies have already focused on the food-grade expression of CEase, but they are all aimed at the biosynthesis of epilactose. Herein, we reported for the first time the biosynthesis of lactulose using the recombinant food-grade Bacillus subtilis. Lactulose biosynthesis was optimized by varying lactulose-producing CEases and expression vectors. Caldicellulosiruptor saccharolyticus CEase and pP43NMK were determined to be the optimal CEase and expression vector. Fine-tuning of CEase expression was investigated by screening a beneficial N-terminal coding sequence. After fed-batch cultivation, the highest fermentation isomerization activity reached 11.6 U/mL. Lactulose was successfully produced by the broth of the engineered B. subtilis with a yield of 52.1 %.

A systematic analysis of affinity tags in the haloarchaeal expression system, Haloferax volcanii for protein purification

Extremophilic proteins are valuable in various fields, but their expression can be challenging in traditional hosts like Escherichia coli due to misfolding and aggregation. Haloferax volcanii (H. volcanii), a halophilic expression system, offers a solution. This study examined cleavable and non-cleavable purification tags at both the N- and C-termini when fused with the superfolder green fluorescent protein (sfGFP) in H. volcanii. Our findings reveal that an N-terminal 8xHis-tag or Strep-tag®II significantly enhances protein production, purity, and yield in H. volcanii. Further experiments with mCherry and halophilic alcohol dehydrogenase (ADH) showed improved expression and purification yields when the 8xHis-tag or Strep-tag®II was positioned at the C-terminus for mCherry and at the N-terminus for ADH. Co-positioning 8xHis-tag and Twin-Strep-tag® at the N-terminus of sfGFP, mCherry, and ADH yielded significantly enhanced results. These findings highlight the importance of thoughtful purification tag design and selection in H. volcanii, providing valuable insights for improving protein production and purification with the potential to advance biotechnological applications.

Enhancement of the d-Allulose 3-Epimerase Expression in Bacillus subtilis through Both Transcriptional and Translational Regulations

d-Allulose, a functional bulk sweetener, has recently attracted increasing attention because of its low-caloric-ness properties and diverse health effects. d-Allulose is industrially produced by the enzymatic epimerization of d-fructose, which is catalyzed by ketose 3-epimerase (KEase). In this study, the food-grade expression of KEase was studied using Bacillus subtills as the host. Clostridium sp. d-allulose 3-epimerase (Clsp-DAEase) was screened from nine d-allulose-producing KEases, showing better potential for expression in B. subtills WB600. Promoter-based transcriptional regulation and N-terminal coding sequence (NCS)-based translational regulation were studied to enhance the DAEase expression level. In addition, the synergistic effect of promoter and NCS on the Clsp-DAEase expression was studied. Finally, the strain with the combination of a PHapII promoter and gln A-Up NCS was selected as the best Clsp-DAEase-producing strain. It efficiently produced Clsp-DAEase with a total activity of 333.2 and 1860.6 U/mL by shake-flask and fed-batch cultivations, respectively.

An archaeal nitrile hydratase from the halophilic archaeon A07HB70 exhibits high tolerance to 3-cyanopyridine and nicotinamide

Nitrile hydratase (NHase, EC 4.2.1.84) is widely used in the industrial production of biosynthetic amide compounds. NHases obtained from prokaryotic and eukaryotic sources have been widely studied, while the NHases derived from archaeal sources have not been reported. Here, we focused on a distinctive NHase derived from a halophilic archaeon (archaeon A07HB70, A.r NHase) that thrives in high-salt environments. A notable feature of this enzyme is the natural fusion of the α subunit with the activator. A.r NHase retained 89.14 % of its activity after exposure to 4.0 M substrate and 97.52 % of its activity after exposure to 4.0 M product. These findings indicate that A.r NHase exhibits significantly higher tolerance to both substrate and product compared to NHases derived from other sources, which may be due to its unique genetic structure. The investigation of such highly stable archaeal NHase can offer a theoretical foundation for modifying NHase derived from other sources. This, in turn, would enhance the potential industrial application of NHase.

Enabling pathway design by multiplex experimentation and machine learning

The remarkable metabolic diversity observed in nature has provided a foundation for sustainable production of a wide array of valuable molecules. However, transferring the biosynthetic pathway to the desired host often runs into inherent failures that arise from intermediate accumulation and reduced flux resulting from competing pathways within the host cell. Moreover, the conventional trial and error methods utilized in pathway optimization struggle to fully grasp the intricacies of installed pathways, leading to time-consuming and labor-intensive experiments, ultimately resulting in suboptimal yields. Considering these obstacles, there is a pressing need to explore the enzyme expression landscape and identify the optimal pathway configuration for enhanced production of molecules. This review delves into recent advancements in pathway engineering, with a focus on multiplex experimentation and machine learning techniques. These approaches play a pivotal role in overcoming the limitations of traditional methods, enabling exploration of a broader design space and increasing the likelihood of discovering optimal pathway configurations for enhanced production of molecules. We discuss several tools and strategies for pathway design, construction, and optimization for sustainable and cost-effective microbial production of molecules ranging from bulk to fine chemicals. We also highlight major successes in academia and industry through compelling case studies.

Identification and engineering of the aprE regulatory region and relevant regulatory proteins in Bacillus licheniformis 2709

Bacillus licheniformis 2709 is the main industrial producer of alkaline protease (AprE), but its biosynthesis is strictly controlled by a highly sophisticated transcriptional network. In this study, the UP elements of aprE located 74-98, 98-119 and 140-340 bp upstream of the transcriptional start site (TSS) were identified, which presented obvious effects on the transcription of aprE. To further analyze the transcriptional mechanism, the specific proteins binding to the approximately 500-bp DNA sequences were subsequently captured by reverse-chromatin immunoprecipitation (reverse-ChIP) and DNA pull-down (DPD) assays, which captured the transcriptional factors CggR, FruR, and YhcZ. The study demonstrated that CggR, FruR and YhcZ had no significant effect on cell growth and aprE expression. Then, aprE expression was significantly enhanced by deleting a potential negative regulatory factor binding site in the genome. The AprE enzyme activity in shake flasks of the genomic mutant BL ∆1 was 47% higher than in the original strain, while the aprE transcription level increased 3.16 times. The protocol established in this study provides a valuable reference for the high-level production of proteins in other Bacillus species. At the same time, it will help reveal the molecular mechanism of the transcriptional regulatory network of aprE and provide important theoretical guidance for further enhancing the yield of AprE.

Engineered bacterial orthogonal DNA replication system for continuous evolution

Continuous evolution can generate biomolecules for synthetic biology and enable evolutionary investigation. The orthogonal DNA replication system (OrthoRep) in yeast can efficiently mutate long DNA fragments in an easy-to-operate manner. However, such a system is lacking in bacteria. Therefore, we developed a bacterial orthogonal DNA replication system (BacORep) for continuous evolution. We achieved this by harnessing the temperate phage GIL16 DNA replication machinery in Bacillus thuringiensis with an engineered error-prone orthogonal DNA polymerase. BacORep introduces all 12 types of nucleotide substitution in 15-kilobase genes on orthogonally replicating linear plasmids with a 6,700-fold higher mutation rate than that of the host genome, the mutation rate of which is unchanged. Here we demonstrate the utility of BacORep-based continuous evolution by generating strong promoters applicable to model bacteria, Bacillus subtilis and Escherichia coli, and achieving a 7.4-fold methanol assimilation increase in B. thuringiensis. BacORep is a powerful tool for continuous evolution in prokaryotic cells.

Mechanisms and biotechnological applications of transcription factors

Transcription factors play an indispensable role in maintaining cellular viability and finely regulating complex internal metabolic networks. These crucial bioactive functions rely on their ability to respond to effectors and concurrently interact with binding sites. Recent advancements have brought innovative insights into the understanding of transcription factors. In this review, we comprehensively summarize the mechanisms by which transcription factors carry out their functions, along with calculation and experimental-based methods employed in their identification. Additionally, we highlight recent achievements in the application of transcription factors in various biotechnological fields, including cell engineering, human health, and biomanufacturing. Finally, the current limitations of research and provide prospects for future investigations are discussed. This review will provide enlightening theoretical guidance for transcription factors engineering.

Multidimensional engineering of Escherichia coli for efficient synthesis of L-tryptophan

Development of microbial cell factory for L-tryptophan (L-trp) production has received widespread attention but still requires extensive efforts due to weak metabolic flux distribution and low yield. Here, the riboswitch-based high-throughput screening (HTS) platform was established to construct a powerful L-trp-producing chassis cell. To facilitate L-trp biosynthesis, gene expression was regulated by promoter and N-terminal coding sequences (NCS) engineering. Modules of degradation, transport and by-product synthesis related to L-trp production were also fine-tuned. Next, a novel transcription factor YihL was excavated to negatively regulate L-trp biosynthesis. Self-regulated promoter-mediated dynamic regulation of branch pathways was performed and cofactor supply was improved for further L-trp biosynthesis. Finally, without extra addition, the yield of strain Trp30 reached 42.5 g/L and 0.178 g/g glucose after 48 h of cultivation in 5-L bioreactor. Overall, strategies described here worked up a promising method combining HTS and multidimensional regulation for developing cell factories for products in interest.

Recent advances on N-acetylneuraminic acid: Physiological roles, applications, and biosynthesis

N-Acetylneuraminic acid (Neu5Ac), the most common type of Sia, generally acts as the terminal sugar in cell surface glycans, glycoconjugates, oligosaccharides, lipo-oligosaccharides, and polysaccharides, thus exerting numerous physiological functions. The extensive applications of Neu5Ac in the food, cosmetic, and pharmaceutical industries make large-scale production of this chemical desirable. Biosynthesis which is associated with important application potential and environmental friendliness has become an indispensable approach for large-scale synthesis of Neu5Ac. In this review, the physiological roles of Neu5Ac was first summarized in detail. Second, the safety evaluation, regulatory status, and applications of Neu5Ac were discussed. Third, enzyme-catalyzed preparation, whole-cell biocatalysis, and microbial de novo synthesis of Neu5Ac were comprehensively reviewed. In addition, we discussed the main challenges of Neu5Ac de novo biosynthesis, such as screening and engineering of key enzymes, identifying exporters of intermediates and Neu5Ac, and balancing cell growth and biosynthesis. The corresponding strategies and systematic strategies were proposed to overcome these challenges and facilitate Neu5Ac industrial-scale production.

CRISPR-dCas12a-mediated genetic circuit cascades for multiplexed pathway optimization

The production efficiency of microbial cell factories is sometimes limited by the lack of effective methods to regulate multiple targets in a coordinated manner. Here taking the biosynthesis of glucosamine-6-phosphate (GlcN6P) in Bacillus subtilis as an example, a 'design-build-test-learn' framework was proposed to achieve efficient multiplexed optimization of metabolic pathways. A platform strain was built to carry biosensor signal-amplifying circuits and two genetic regulation circuits. Then, a synthetic CRISPR RNA array blend for boosting and leading (ScrABBLE) device was integrated into the platform strain, which generated 5,184 combinatorial assemblies targeting three genes. The best GlcN6P producer was screened and engineered for the synthesis of valuable pharmaceuticals N-acetylglucosamine and N-acetylmannosamine. The N-acetylglucosamine titer reached 183.9 g liter-1 in a 15-liter bioreactor. In addition, the potential generic application of the ScrABBLE device was also verified using three fluorescent proteins as a case study.

A Novel Method to Screen Strong Constitutive Promoters in Escherichia coli and Serratia marcescens for Industrial Applications

Promoters serve as the switch of gene transcription, playing an important role in regulating gene expression and metabolites production. However, the approach to screening strong constitutive promoters in microorganisms is still limited. In this study, a novel method was designed to identify strong constitutive promoters in E. coli and S. marcescens based on random genomic interruption and fluorescence-activated cell sorting (FACS) technology. First, genomes of E. coli, Bacillus subtilis, and Corynebacterium glutamicum were randomly interrupted and inserted into the upstream of reporter gene gfp to construct three promoter libraries, and a potential strong constitutive promoter (P_BS) suitable for E. coli was screened via FACS technology. Second, the core promoter sequence (P_BS76) of the screened promoter was identified by sequence truncation. Third, a promoter library of P_BS76 was constructed by installing degenerate bases via chemical synthesis for further improving its strength, and the intensity of the produced promoter P_BS76-100 was 59.56 times higher than that of the promoter P_{BBa_J23118}. Subsequently, promoters P_BBa__J23118, P_BS76, P_BS76-50, P_BS76-75, P_BS76-85, and P_BS76-100 with different strengths were applied to enhance the metabolic flux of L-valine synthesis, and the L-valine yield was significantly improved. Finally, a strong constitutive promoter suitable for S. marcescens was screened by a similar method and applied to enhance prodigiosin production by 34.81%. Taken together, the construction of a promoter library based on random genomic interruption was effective to screen the strong constitutive promoters for fine-tuning gene expression and reprogramming metabolic flux in various microorganisms.

Metabolic Engineering of Escherichia coli for Increased Bioproduction of N-Acetylneuraminic Acid

N-Acetylneuraminic acid (NeuAc) is widely used in the food and pharmaceutical industries. Therefore, it is important to develop an efficient and eco-friendly method for NeuAc production. Here, we achieved de novo biosynthesis of NeuAc in an engineered plasmid-free Escherichia coli strain, which efficiently synthesizes NeuAc using glycerol as the sole carbon source, via clustered regularly interspaced palindromic repeat (CRISPR)/CRISPR-associated protein 9-based genome editing. NeuAc key precursor, N-acetylmannosamine (ManNAc; 0.40 g/L), was produced by expressing UDP-N-acetylglucosamine-2-epimerase and glucosamine-6-phosphate synthase (GlmS) mutants and blocking the NeuAc catabolic pathway in E. coli BL21 (DE3). The expression levels of GlmM and GlmU-GlmS_A metabolic modules were optimized, significantly increasing the ManNAc titer to 8.95 g/L. Next, the expression levels of NeuAc synthase from different microorganisms were optimized, leading to the production of 6.27 g/L of NeuAc. Blocking the competing pathway of NeuAc biosynthesis increased the NeuAc titer to 9.65 g/L. In fed-batch culture in a 3 L fermenter, NeuAc titer reached 23.46 g/L with productivity of 0.69 g/L/h, which is the highest level achieved by microbial synthesis using glycerol as the sole carbon source in E. coli. The strategies used in our study can aid in the efficient bioproduction of NeuAc and its derivatives.

A genetic toolkit for efficient production of secretory protein in Bacillus subtilis

Bacillus subtilis is a microbial cell factory widely used to produce recombinant proteins, but the expression of heterologous proteins is often severely hampered. This study constructed a genetic toolkit for improving the secretory efficiency of heterologous proteins in Bacillus subtilis. First, the protease-deficient hosts were reconstructed. Then, two endogenous constitutive promoters, P_hag and P_spovG, were screened. Next, a method called systemic combinatorial optimization of ribosome binding site (RBS) equipped with signal peptide (SCORES) was designed for optimizing the secretion and translation of the heterologous protein. Finally, Serratia marcescens nonspecific endonuclease (SMNE), which causes cell death by degrading nucleic acids, was expressed. The enzyme activity in the shake flask reached 7.5 × 10⁶ U/L, which was 7.5-times that of the control RBS and signal peptide combination (RS0). This study not only expanded on the synthetic biology toolbox in B. subtilis but also provided strategies to create a prokaryotic protein expression system.

Influence of N-terminal His-tags on the production of recombinant proteins in the cytoplasm of Bacillus subtilis

The influence of fusion tags to produce recombinant proteins in the cytoplasm of Bacillus subtilis is not well-studied as in E. coli. This study aimed to investigate the influence of His-tags with different codons on the protein production levels of the high expression gene (gfp+) and low expression gene (egfp) in the cytoplasm of B. subtilis cells. We used three different N-terminal His-tags, M-6xHis, MRGS-8xHis and MEA-8xHis, to investigate their effects on the production levels of GFP variants under the control of the Pgrac212 in B. subtilis. The fusions of His-tags with GFP+ caused a reduction compared to the construct without His-tag. When three His-tags fused with egfp, the EGFP production levels were significantly increased up to 3.5-, 12-, and 15-fold. This study suggested that His-tag at the N-terminus could enhance the protein production for the low expression gene and reduce that of the high expression gene in B. subtilis.

Deciphering the Rules of Ribosome Binding Site Differentiation in Context Dependence

The ribosome binding site (RBS) is a crucial element regulating translation. However, the activity of RBS is poorly predictable, because it is strongly affected by the local possible secondary structure, that is, context dependence. By the Flowseq technique, over 20 000 RBS variants were sorted and sequenced, and the translation of multiple genes under the same RBS was quantitatively characterized to evaluate the context dependence of each RBS variant in E. coli. Two regions, (-7 to -2) and (-17 to -12), of RBS were predicted with a higher possibility to pair with each other to slow down the translation initiation. Associations between phenotypes and the intrinsic factors suspected to affect translation efficiency and context dependence of the RBS, including nucleotide bias at each position, free energy, and conservation, were disentangled. The results showed that translation efficiency was influenced more significantly by conservation of the SD region (-16 to -8), while an AC-rich spacer region (-7 to -1) was associated with low context dependence. We confirmed these characteristics using a series of synthesized RBSs. The average correlation between multiple reporters was significantly higher for RBSs with an AC-rich spacer (0.714) compared with a GU-rich spacer (0.286). Overall, we proposed general design criteria to improve programmability and minimize context dependence of RBS. The characteristics unraveled here can be adapted to other bacteria for fine-tuning target-gene expression.

Biosynthesis of Guanidinoacetate by Bacillus subtilis Whole-Cell Catalysis

Guanidinoacetate (GAA) is a naturally occurring amino acid derivative and the direct precursor of creatine, which is widely used in feed additives and the pharmaceutical industry. The current industrial synthesis of GAA is based on chemical methods, which limits the application of GAA. Here, a biological approach is developed for food safety GAA production via whole-cell biocatalysis by the generally regarded as safe (GRAS) bacterium Bacillus subtilis. First, we introduced a heterologous arginine: glycine amidinotransferase (AgaT) from Amycolatopsis kentuckyensis into B. subtilis and optimized its expression level using strategies including: promoter optimization, ribosome binding site (RBS) and N-terminal coding sequence (NCS) screening. In order to alleviate the waste of arginine and the inhibition of AgaT by ornithine, we optimized the natural ornithine cycle in B. subtilis. At the same time, the first gene in the glycine degradation pathway was knocked out. After optimization using these strategies, the titer of GAA was 4.26 g/L with a productivity of 0.21 g/L/h in 20 h, which provides a new method for the biosynthesis of GAA.

Engineering of Synthetic Multiplexed Pathways for High-Level N-Acetylneuraminic Acid Bioproduction

N-Acetylneuraminic acid (NeuAc) is widely used as a supplement to promote brain health and enhance immunity. However, the low efficiency of de novo NeuAc synthesis limits its cost-efficient bioproduction. Herein, a synthetic multiplexed pathway engineering (SMPE) strategy is proposed to improve NeuAc synthesis. First, we compare the key enzyme sources and optimize the expression levels of three NeuAc synthesis pathways in Bacillus subtilis; the AGE, NeuC, and NanE pathways, for which NeuAc production reached 3.94, 5.67, and 0.19 g/L, respectively. Next, these synthesis pathways were combined and modularly optimized via the SMPE strategy, with production reaching 7.87 g/L. Finally, fed-batch fermentation in a 5 L fermenter reached 30.10 g/L NeuAc production, the highest reported production using glucose as the sole carbon source. Using a generally regarded as safe strain as a production host, the developed NeuAc-producing approach should be favorable for efficient bioproduction, without the need for plasmids, antibiotics, or chemical inducers.

Improving the Intensity of Integrated Expression for Microbial Production

Chromosomal integration of exogenous genes is preferred for industrially related fermentation, as plasmid-mediated fermentation leads to extra metabolic burden and genetic instability. Moreover, with the development and advancement of genome engineering and gene editing technologies, inserting genes into chromosomes has become more convenient; integration expression is extensively utilized in microorganisms for industrial bioproduction and expected to become the trend of recombinant protein expression. However, in actual research and application, it is important to enhance the expression of heterologous genes at the host genome level. Herein, we summarized the basic principles and characteristics of genomic integration; furthermore, we highlighted strategies to improve the expression of chromosomal integration of genes and pathways in host strains from three aspects, including chassis cell optimization, regulation of expression elements in gene expression cassettes, optimization of gene dose level and integration sites on chromosomes. Moreover, we reviewed and summarized the relevant studies on the application of integrated expression in the exploration of gene function and the various types of industrial microorganism production. Consequently, this review would serve as a reference for the better application of integrated expression.

Inducible Population Quality Control of Engineered Bacillus subtilis for Improved N-Acetylneuraminic Acid Biosynthesis

Biosynthesis by microorganisms using renewable feedstocks is an important approach for realizing sustainable chemical manufacturing. However, cell-to-cell variation in biosynthesis capability during fermentation restricts the robustness and efficiency of bioproduction, hampering the industrialization of biosynthesis. Herein, we developed an inducible population quality control system (iPopQC) for dynamically modulating the producing and nonproducing subpopulations of engineered Bacillus subtilis, which was constructed via inducible promoter- and metabolite-responsive biosensor-based genetic circuit for regulating essential genes. Moreover, iPopQC achieved a 1.97-fold increase in N-acetylneuraminic acid (NeuAc) titer by enriching producing cell subpopulation during cultivation, representing 52% higher than that of previous PopQC. Strains with double-output iPopQC cocoupling the expression of double essential genes with NeuAc production improved production robustness further, retaining NeuAc production throughout 96 h of fermentation, upon which the strains cocoupling one essential gene expression with NeuAc production abolished the production ability.

Combinatorial engineering for efficient production of protein-glutaminase in Bacillus subtilis

Protein-glutaminase (EC 3.5.1.44, PG) converts protein glutamine residues in proteins and peptides into glutamic acid residue, and markedly improves the solubility, emulsification, and foaming properties of food proteins. However, the source bacteria, Chryseobacterium proteolyticum, have low enzyme production ability, inefficient genetic operation, and high production cost. Therefore, it is critical to establish an efficient expression system for active PG. Here, combinatorial engineering was developed for high-yield production of PG in Bacillus subtilis. First, we evaluated different B. subtilis strains for PG self-activation. Then, combinatorial optimization involving promoters, signal peptides, and culture medium was applied to produce active recombinant PG in a B. subtilis expression system. Through combinatorial engineering, PG enzyme activity reached 3.23 U/mL in shaken-flask cultures. Active PG with the yield of 7.07 U/mL was obtained at 40 h by the P_SecA-YdeJ combination in fed-batch fermentation, which is the highest yield of PG in existing reports.

Enhanced Prodigiosin Production in Serratia marcescens JNB5-1 by Introduction of a Polynucleotide Fragment into the pigN 3' Untranslated Region and Disulfide Bonds into O-Methyl Transferase (PigF)

In Serratia marcescens JNB5-1, prodigiosin was highly produced at 30°C, but it was noticeably repressed at ≥37°C. Our initial results demonstrated that both the production and the stability of the O-methyl transferase (PigF) and oxidoreductase (PigN) involved in the prodigiosin pathway in S. marcescens JNB5-1 sharply decreased at ≥37°C. Therefore, in this study, we improved mRNA stability and protein production using de novo polynucleotide fragments (PNFs) and the introduction of disulfide bonds, respectively, and observed their effects on prodigiosin production. Our results demonstrate that adding PNFs at the 3' untranslated regions of pigF and pigN significantly improved the mRNA half-lives of these genes, leading to an increase in the transcript and expression levels. Subsequently, the introduction of disulfide bonds in pigF improved the thermal stability, pH stability, and copper ion resistance of PigF. Finally, shake flask fermentation showed that the prodigiosin titer with the engineered S. marcescens was increased by 61.38% from 5.36 to 8.65 g/liter compared to the JNB5-1 strain at 30°C and, significantly, the prodigiosin yield increased 2.05-fold from 0.38 to 0.78 g/liter at 37°C. In this study, we revealed that the introduction of PNFs and disulfide bonds greatly improved the expression and stability of pigF and pigN, hence efficiently enhancing prodigiosin production with S. marcescens at 30 and 37°C. IMPORTANCE This study highlights a promising strategy to improve mRNA/enzyme stability and to increase production using de novo PNF libraries and the introduction of disulfide bonds into the protein. PNFs could increase the half-life of target gene mRNA and effectively prevent its degradation. Moreover, PNFs could increase the relative intensity of target genes without affecting the expression of other genes; as a result, it could alleviate the cellular burden compared to other regulatory elements such as promoters. In addition, we obtained a PigF variant with improved activity and stability by the introduction of disulfide bonds into PigF. Collectively, we demonstrate here a novel approach for improving mRNA/enzyme stability using PNFs, which results in enhanced prodigiosin production in S. marcescens at 30°C.

Design and construction of novel biocatalyst for bioprocessing: Recent advances and future outlook

Bioprocess, a biocatalysis-based technology, is becoming popular in many research fields and widely applied in industrial manufacturing. However, low bioconversion, low productivity, and high costs during industrial processes are usually the limitation in bioprocess. Therefore, many biocatalyst strategies have been developed to meet these challenges in recent years. In this review, we firstly discuss protein engineering strategies, which are emerged for improving the biocatalysis activity of biocatalysts. Then, we summarize metabolic engineering strategies that are promoting the development of microbial cell factories. Next, we illustrate the necessity of using the combining strategy of protein engineering and metabolic engineering for efficient biocatalysts. Lastly, future perspectives about the development and application of novel biocatalyst strategies are discussed. This review provides theoretical guidance for the development of efficient, sustainable, and economical bioprocesses mediated by novel biocatalysts.

Production of proteins and commodity chemicals using engineered Bacillus subtilis platform strain

Currently, increasing demand of biochemicals produced from renewable resources has motivated researchers to seek microbial production strategies instead of traditional chemical methods. As a microbial platform, Bacillus subtilis possesses many advantages including the generally recognized safe status, clear metabolic networks, short growth cycle, mature genetic editing methods and efficient protein secretion systems. Engineered B. subtilis strains are being increasingly used in laboratory research and in industry for the production of valuable proteins and other chemicals. In this review, we first describe the recent advances of bioinformatics strategies during the research and applications of B. subtilis. Secondly, the applications of B. subtilis in enzymes and recombinant proteins production are summarized. Further, the recent progress in employing metabolic engineering and synthetic biology strategies in B. subtilis platform strain to produce commodity chemicals is systematically introduced and compared. Finally, the major limitations for the further development of B. subtilis platform strain and possible future directions for its research are also discussed.

Engineering the Cad pathway in Escherichia coli to produce glutarate from L-lysine

For the efficient industrial production of glutarate, an important C5 platform chemical that is widely used in the chemical and pharmaceutical industries, a five-enzyme cascade pathway was designed and reconstructed in vitro to synthesize glutarate from L-lysine. Then, the imbalanced enzyme expression levels of L-lysine decarboxylase from Escherichia coli (EcCA), putrescine aminotransferase (KpcPA) and γ-aminovaleraldehyde dehydrogenase (KpcPD) from Klebsiella pneumoniae, and the poor catalytic efficiency of KpcPA were identified as the rate-limiting bottlenecks. To this end, ribosome binding site regulation was employed to coordinate the enzyme molar ratio of EcCA:KpcPA:KpcPD at approximately 4:8:7 (the optimum ratio obtained in vitro), and volume scanning and hydrophobicity scanning were applied to increase KpcPA activity toward cadaverine from 15.89 ± 0.52 to 75.87 ± 1.51 U·mg^-1. Furthermore, the extracellular accumulation of 5-aminovalerate (5AVA) was considerably reduced by overexpressing gabP encoding the 5AVA importer. Combining these strategies into the engineered strain Glu-02, 77.62 g/L glutarate, the highest titer by E. coli to date, was produced from 100 g/L L-lysine in 42 h, with a yield and productivity of 0.78 g/g L-lysine and 1.85 g/L/h, respectively, at a 5-L scale. The results presented here provide a novel and potential enzymatic process at industrial-scale to produce glutarate from cheaper amino acids. KEY POINTS: • The bioconversion of l-lysine to glutarate using the Cad pathway was first achieved. • Enhancing the conversion efficiency of the Cad route maximizes glutarate in E. coli. • Achieving the highest titer of glutarate by E. coli to date.

Rational Design of the N-Terminal Coding Sequence for Regulating Enzyme Expression in Bacillus subtilis

Synonymous mutation of the N-terminal coding sequence (NCS) has been used to regulate gene expression. We here developed a statistical model to predict the effect of the NCSs on protein expression in Bacillus subtilis WB600. First, a synonymous mutation was performed within the first 10 residues of a superfolder green fluorescent protein to generate a library of 172 NCS synonymous mutants with different expression levels. A prediction model was then developed, which adopted G/C frequency at the third position of each codon and minimum free energy of mRNA as the independent variables, using multiple regression analysis between the 11 sequence parameters of the NCS and their fluorescence intensities. By designing the NCS of the 10 signal peptides de novo according to the model, the extracellular yield of B. subtilis pullulanase fused to each signal peptide was up-regulated by up to 515% or down-regulated by at most 79%. This work provided a candidate tool for fine-tuning gene expression or enzyme production in B. subtilis.

Rational design of signal peptides for improved MtC1LPMO production in Bacillus amyloliquefaciens

A high-throughput screening system was established by employing enhanced green fluorescent protein as a screenable fusion tag to evaluate the expression and secretion of a lytic polysaccharide monooxygenase (MtC1LPMO) using 20 Sec-type signal peptides (SPs) from Bacillus amyloliquefaciens 111018. Among these, 10 SPs were found to be better than the native SP of MtC1LPMO. The protein expression and secretion levels using SP12 (MNITNWAAILQLQSMALQSISNTGTASS) were the highest among all SPs, with 4.1- and 2.1-fold increases over the native SP, respectively. Then, the amino acids of the 10 best SPs were analyzed, and the results indicated that the most abundant amino acid of the N-region was K, those of the H-region were L, F, A and V, and the C-region contained an AXA motif. Additionally, we found that the protein expression level gradually improved along with the increasing folding free energies of the SP-encoding part of the mRNA. Finally, the SPs were rationally designed to improve the expression and secretion level of MtC1LPMO. An increased positive charge of the SP N-region was found to enhance the protein expression and secretion level, as long as the folding free energy of the mRNA did not change significantly.

Fine-Tuning Multi-Gene Clusters via Well-Characterized Gene Expression Regulatory Elements: Case Study of the Arginine Synthesis Pathway in C. glutamicum

Promoters and ribosome binding sites (RBSs) are routinely applied in gene expression regulation, but their orthogonality and combinatorial effects have not yet been systematically studied in Corynebacterium glutamicum. Here, 17 core promoters and 29 RBSs in C. glutamicum were characterized, which exhibited 470-fold and 430-fold in transcriptional and translational activity, respectively. By comparing the expression of two reporter genes regulated by multiple RBSs, the RBS efficacy showed significant dependence on the gene context, besides the RBSs' strength, reflecting the poor orthogonality of RBSs. Bicistron-modified RBS (referred as bc-RBS) was adapted to C. glutamicum, which improved RBS reliability. By coupling a series of promoters with RBSs/bc-RBSs, a much broader regulation range that spanned 4 orders of magnitude was observed compared with that of a sole element, and the contribution to gene expression of RBS was more than that of promoter. Finally, promoters and RBSs were applied as built-in elements to fine-tune the gene cluster in the arginine synthesis pathway in C. glutamicum. Compared with the original strain, more arginine (1.61-fold) or citrulline (2.35-fold) was accumulated in a 7 L bioreactor by strains with the gene expression regulation system rationally engineered. We demonstrated that, via combination of well-characterized gene elements, and overall consideration for both transcription and translation, the biosynthesis pathway can be effectively balanced, and the yield of a target metabolite can be further improved.

Building kinetic models for metabolic engineering

Kinetic formalisms of metabolism link metabolic fluxes to enzyme levels, metabolite concentrations and their allosteric regulatory interactions. Though they require the identification of physiologically relevant values for numerous parameters, kinetic formalisms uniquely establish a mechanistic link across heterogeneous omics datasets and provide an overarching vantage point to effectively inform metabolic engineering strategies. Advances in computational power, gene annotation coverage, and formalism standardization have led to significant progress over the past few years. However, careful interpretation of model predictions, limited metabolic flux datasets, and assessment of parameter sensitivity remain as challenges. In this review we highlight fundamental considerations which influence model quality and prediction, advances in methodologies, and success stories of deploying kinetic models to guide metabolic engineering.

Exploring Amino Sugar and Phosphoenolpyruvate Metabolism to Improve Escherichia coli N-Acetylneuraminic Acid Production

N-acetyl-d-neuraminic acid (NeuAc) has attracted considerable attention because of its wide-ranging applications. The use of cheap carbon sources such as glucose without the addition of any precursor in microbial NeuAc production has many advantages. In this study, improved NeuAc production was attained through the optimization of amino sugar metabolism pathway kinetics and reservation of a phosphoenolpyruvate (PEP) pool in Escherichia coli. N-acylglucosamine 2-epimerase and N-acetylneuraminate synthase from different sources and their best combinations were used to obtain optimized enzyme kinetics and expression intensity, which resulted in a significant increase in NeuAc production. Next, after a design was engineered for enabling the PEP metabolic pathway to retain the PEP pool, the production of NeuAc reached 16.7 g/L, which is the highest NeuAc production rate that has been reported from using glucose as the sole carbon source.

Titrating bacterial growth and chemical biosynthesis for efficient N-acetylglucosamine and N-acetylneuraminic acid bioproduction

Metabolic engineering facilitates chemical biosynthesis by rewiring cellular resources to produce target compounds. However, an imbalance between cell growth and bioproduction often reduces production efficiency. Genetic code expansion (GCE)-based orthogonal translation systems incorporating non-canonical amino acids (ncAAs) into proteins by reassigning non-canonical codons to ncAAs qualify for balancing cellular metabolism. Here, GCE-based cell growth and biosynthesis balance engineering (GCE-CGBBE) is developed, which is based on titrating expression of cell growth and metabolic flux determinant genes by constructing ncAA-dependent expression patterns. We demonstrate GCE-CGBBE in genome-recoded Escherichia coli Δ321AM by precisely balancing glycolysis and N-acetylglucosamine production, resulting in a 4.54-fold increase in titer. GCE-CGBBE is further expanded to non-genome-recoded Bacillus subtilis to balance growth and N-acetylneuraminic acid bioproduction by titrating essential gene expression, yielding a 2.34-fold increase in titer. Moreover, the development of ncAA-dependent essential gene expression regulation shows efficient biocontainment of engineered B. subtilis to avoid unintended proliferation in nature.

An imbalance between cell growth and bioproduction of engineered microbes often reduces production efficiency. Here, the authors report genetic code expansion-based cell growth and biosynthesis balance engineering to achieve high levels production of N-acetylglucosamine in E. coli and N-acetylneuraminic acid in B. subtilis.

Developing Aspergillus niger as a cell factory for food enzyme production

Aspergillus niger has become one of the most important hosts for food enzyme production due to its unique food safety characteristics and excellent protein secretion systems. A series of food enzymes such as glucoamylase have been commercially produced by A. niger strains, making this species a suitable platform for the engineered of strains with improved enzyme production. However, difficulties in genetic manipulations and shortage of expression strategies limit the progress in this regard. Moreover, several mycotoxins have recently been detected in some A. niger strains, which raises the necessity for a regulatory approval process for food enzyme production. With robust strains, processing engineering strategies are also needed for producing the enzymes on a large scale, which is also challenging for A. niger, since its culture is aerobic, and non-Newtonian fluid properties are developed during submerged culture, making mixing and aeration very energy-intensive. In this article, the progress and challenges of developing A. niger for the production of food enzymes are reviewed, including its genetic manipulations, strategies for more efficient production of food enzymes, and elimination of mycotoxins for product safety.

Discovery and development of a novel short-chain fatty acid ester synthetic biocatalyst under aqueous phase from Monascus purpureus isolated from Baijiu

Short-chain fatty acid esters are important flavor chemicals in Chinese traditional fermented Baijiu. Monascus purpureus was recognized as an important microorganism contributing to ester synthesis. However, the molecular basis for ester synthesis was still lacking. The present work combined genome sequencing, transcriptome sequencing, gene library construction, and enzyme engineering to discover a novel catalyst from M. purpureus (isolated from Baijiu fermentation starter). Enzyme LIP05, belonging to the α/β hydrolase family, was identified to synthesize short-chain fatty acid esters under aqueous phase. After deleting the lid domain of LIP05, the synthesis of ethyl pentanoate, ethyl hexanoate, ethyl octanoate, or ethyl decanoate was achieved. Ethyl octanoate with the highest conversion ratio of 93.7% was obtained with the assistance of ultrasound. The study reveals the molecular basis for synthesizing short-chain fatty acid esters by M. purpureus and will promote the application of the species or the enzyme in food industry.

Bacillus subtilis: a universal cell factory for industry, agriculture, biomaterials and medicine

Due to its clear inherited backgrounds as well as simple and diverse genetic manipulation systems, Bacillus subtilis is the key Gram-positive model bacterium for studies on physiology and metabolism. Furthermore, due to its highly efficient protein secretion system and adaptable metabolism, it has been widely used as a cell factory for microbial production of chemicals, enzymes, and antimicrobial materials for industry, agriculture, and medicine. In this mini-review, we first summarize the basic genetic manipulation tools and expression systems for this bacterium, including traditional methods and novel engineering systems. Secondly, we briefly introduce its applications in the production of chemicals and enzymes, and summarize its advantages, mainly focusing on some noteworthy products and recent progress in the engineering of B. subtilis. Finally, this review also covers applications such as microbial additives and antimicrobials, as well as biofilm systems and spore formation. We hope to provide an overview for novice researchers in this area, offering them a better understanding of B. subtilis and its applications.

Cell-free synthesis system-assisted pathway bottleneck diagnosis and engineering in Bacillus subtilis

Metabolic engineering is a key technology for cell factories construction by rewiring cellular resources to achieve efficient production of target chemicals. However, the existence of bottlenecks in synthetic pathway can seriously affect production efficiency, which is also one of the core issues for metabolic engineers to solve. Therefore, developing an approach for diagnosing potential metabolic bottlenecks in a faster and simpler manner is of great significance to accelerate cell factories construction. The cell-free reaction system based on cell lysates can transfer metabolic reactions from in vivo to in vitro, providing a flexible access to directly change protein and metabolite variables, thus provides a potential solution for rapid identification of bottlenecks. Here, bottleneck diagnosis of the N-acetylneuraminic acid (NeuAc) biosynthesis pathway in industrially important chassis microorganism Bacillus subtilis was performed using cell-free synthesis system. Specifically, a highly efficient B. subtilis cell-free system for NeuAc de novo synthesis was firstly constructed, which had a 305-fold NeuAc synthesis rate than that in vivo and enabled fast pathway dynamics analysis. Next, through the addition of all potential key intermediates in combination with substrate glucose respectively, it was found that insufficient phosphoenolpyruvate supply was one of the NeuAc pathway bottlenecks. Rational in vivo metabolic engineering of NeuAc-producing B. subtilis was further performed to eliminate the bottleneck. By down-regulating the expression level of pyruvate kinase throughout the growth phase or only in the stationary phase using inhibitory N-terminal coding sequences (NCSs) and growth-dependent regulatory NCSs respectively, the maximal NeuAc titer increased 2.0-fold. Our study provides a rapid method for bottleneck diagnosis, which may help to accelerate the cycle of design, build, test and learn cycle for metabolic engineering.

Biotransformation and chiral resolution of d,l-alanine into pyruvate and d-alanine with a whole-cell biocatalyst expressing l-amino acid deaminase

Pyruvate is an important pharmaceutical intermediate and is widely used in food, nutraceuticals, and pharmaceuticals. However, high environmental pollution caused by chemical synthesis or complex separation process of microbial fermentation methods constrain the supply of pyruvate. Here, one-step pyruvate and d-alanine production from d,l-alanine by whole-cell biocatalysis was investigated. First, l-amino acid deaminase (Pm1) from Proteus mirabilis was expressed in Escherichia coli, resulting in pyruvate titer of 12.01 g/L. Then, N-terminal coding sequences were introduced to the 5'-end of the pm1 gene to enhance the expression of Pm1 and the pyruvate titer increased to 15.13 g/L. Next, product utilization by the biocatalyst was prevented by knocking out the pyruvate uptake transporters (cstA, btsT) and the pyruvate metabolic pathway genes pps, poxB, pflB, ldhA, and aceEF using CRISPR/Cas9, yielding 30.88 g/L pyruvate titer. Finally, by optimizing the reaction conditions, the pyruvate titer was further enhanced to 43.50 g/L in 8 H with a 79.99% l-alanine conversion rate; meanwhile, the resolution of d-alanine reached 84.0%. This work developed a whole-cell biocatalyst E. coli strain for high-yield, high-efficiency, and low-pollution pyruvate and d-alanine production, which has great potential for the commercial application in the future.

Developing rapid growing Bacillus subtilis for improved biochemical and recombinant protein production

Bacillus subtilis is a model Gram-positive bacterium, which has been widely used as industrially important chassis in synthetic biology and metabolic engineering. Rapid growth of chassis is beneficial for shortening the fermentation period and enhancing production of target product. However, engineered B. subtilis with faster growth phenotype is lacking. Here, fast-growing B. subtilis were constructed through rational gene knockout and adaptive laboratory evolution using wild type strain B. subtilis 168 (BS168) as starting strain. Specifically, strains BS01, BS02, and BS03 were obtained through gene knockout of oppD, hag, and flgD genes, respectively, resulting 15.37%, 24.18% and 36.46% increases of specific growth rate compared with BS168. Next, strains A28 and A40 were obtained through adaptive laboratory evolution, whose specific growth rates increased by 39.88% and 43.53% compared to BS168, respectively. Then these two methods were combined via deleting oppD, hag, and flgD genes respectively on the basis of evolved strain A40, yielding strain A4003 with further 7.76% increase of specific growth rate, reaching 0.75 h^-1 in chemical defined M9 medium. Finally, bioproduction efficiency of intracellular product (ribonucleic acid, RNA), extracellular product (acetoin), and recombinant proteins (green fluorescent protein (GFP) and ovalbumin) by fast-growing strain A4003 was tested. And the production of RNA, acetoin, GFP, and ovalbumin increased 38.09%, 5.40%, 9.47% and 19.79% using fast-growing strain A4003 as chassis compared with BS168, respectively. The developed fast-growing B. subtilis strains and strategies used for developing these strains should be useful for improving bioproduction efficiency and constructing other industrially important bacterium with faster growth phenotype.

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Fast-growing Bacillus subtilis were constructed through rational gene knockout and adaptive laboratory evolution.

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Specific growth rate of engineered B. subtilis ​increased 53.06% compared with ​B. subtilis 168, reaching 0.75 h^-1 ​in M9 medium.

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Production of RNA, acetoin, and ovalbumin increased 38.09%, 5.40%, and 19.79% using fast-growing strain as chassis.

Recent advances in improving metabolic robustness of microbial cell factories

Engineering microbial cell factories has been widely applied to produce compounds spanning from intricate natural products to bulk commodities. In each case, host robustness is essential to ensure the reliable and sustainable production of targeted metabolites. However, it can be negatively affected by metabolic burden, pathway toxicity, and harsh environment, resulting in a decreased titer and productivity. Enhanced robustness enables host to have better production performance under complicated growth circumstances. Here, we review current strategies for boosting host robustness, including metabolic balancing, genetic and phenotype stability enhancement, and tolerance engineering. In addition, we discuss the challenges and future perspectives on microbial host engineering for increased robustness.

Application of combinatorial optimization strategies in synthetic biology

In the first wave of synthetic biology, genetic elements, combined into simple circuits, are used to control individual cellular functions. In the second wave of synthetic biology, the simple circuits, combined into complex circuits, form systems-level functions. However, efforts to construct complex circuits are often impeded by our limited knowledge of the optimal combination of individual circuits. For example, a fundamental question in most metabolic engineering projects is the optimal level of enzymes for maximizing the output. To address this point, combinatorial optimization approaches have been established, allowing automatic optimization without prior knowledge of the best combination of expression levels of individual genes. This review focuses on current combinatorial optimization methods and emerging technologies facilitating their applications.