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Engineering Bacillus Subtilis for Efficient Biosynthesis of Riboflavin: Current Knowledge and Future Perspectives.

Riboflavin is an essential water-soluble vitamin that serves as a precursor for the biosynthesis of the flavin cofactors FMN and FAD, which play pivotal roles in numerous redox and energy metabolism reactions. With the growing global demand for sustainable vitamin production, microbial fermentation has become an attractive alternative to chemical synthesis due to its environmental and economic advantages. Among microbial hosts, Bacillus subtilis has emerged as a leading cell factory for riboflavin production owing to its GRAS status, well-characterized genetics, and efficient protein secretion system. This review provides a comprehensive overview of recent advances in metabolic engineering strategies to enhance riboflavin biosynthesis in B. subtilis. Key topics include strengthening biosynthetic and precursor pathways, relieving feedback inhibition, balancing metabolic flux and cell growth, employing adaptive laboratory evolution, and utilizing omics-guided optimization and 13C metabolic flux analysis. Moreover, the integration of synthetic biology tools such as riboswitch engineering, regulatory element design, and high-throughput screening has significantly accelerated strain improvement. Despite remarkable progress, challenges remain in achieving precise regulatory control, optimizing multi-gene expression, and enhancing genome integration efficiency. Future research combining multi-omics data, synthetic regulatory design, and machine learning-driven predictive modeling is expected to further advance the development of intelligent B. subtilis cell factories. However, the practical implementation of these systems remains constrained by the metabolic burden of overproduction and the lack of universal regulatory models that can predict strain performance across varying industrial scales.

Bacillus subtilis↗

Phenotypic characterization of glucose repression mutants of Saccharomyces cerevisiae using experiments with 13C-labelled glucose.

In the field of metabolic engineering and functional genomics, methods for analysis of metabolic fluxes in the cell are attractive as they give an overview of the phenotypic response of the cells at the level of the active metabolic network. This is unlike several other high-throughput experimental techniques, which do not provide information about the integrated response a specific genetic modification has on the cellular function. In this study we have performed phenotypic characterization of several mutants of the yeast Saccharomyces cerevisiae through the use of experiments with (13)C-labelled glucose. Through GC-MS analysis of the (13)C incorporated into the amino acids of cellular proteins, it was possible to obtain quantitative information on the function of the central carbon metabolism in the different mutants. Traditionally, such labelling data have been used to quantify metabolic fluxes through the use of a suitable mathematical model, but here we show that the raw labelling data may also be used directly for phenotypic characterization of different mutant strains. Different glucose derepressed strains investigated employed are the disruption mutants reg1, hxk2, grr1, mig1 and mig1mig2 and the reference strain CEN.PK113-7D. Principal components analysis of the summed fractional labelling data show that deleting the genes HXK2 and GRR1 results in similar phenotype at the fluxome level, with a partial alleviation of glucose repression on the respiratory metabolism. Furthermore, deletion of the genes MIG1, MIG1/MIG2 and REG1 did not result in a significant change in the phenotype at the fluxome level.

Carbon Isotopes↗

A modified Saccharomyces cerevisiae strain that consumes L-Arabinose and produces ethanol.

Metabolic engineering is a powerful method to improve, redirect, or generate new metabolic reactions or whole pathways in microorganisms. Here we describe the engineering of a Saccharomyces cerevisiae strain able to utilize the pentose sugar L-arabinose for growth and to ferment it to ethanol. Expanding the substrate fermentation range of S. cerevisiae to include pentoses is important for the utilization of this yeast in economically feasible biomass-to-ethanol fermentation processes. After overexpression of a bacterial L-arabinose utilization pathway consisting of Bacillus subtilis AraA and Escherichia coli AraB and AraD and simultaneous overexpression of the L-arabinose-transporting yeast galactose permease, we were able to select an L-arabinose-utilizing yeast strain by sequential transfer in L-arabinose media. Molecular analysis of this strain, including DNA microarrays, revealed that the crucial prerequisite for efficient utilization of L-arabinose is a lowered activity of L-ribulokinase. Moreover, high L-arabinose uptake rates and enhanced transaldolase activities favor utilization of L-arabinose. With a doubling time of about 7.9 h in a medium with L-arabinose as the sole carbon source, an ethanol production rate of 0.06 to 0.08 g of ethanol per g (dry weight). h(-1) under oxygen-limiting conditions, and high ethanol yields, this yeast strain should be useful for efficient fermentation of hexoses and pentoses in cellulosic biomass hydrolysates.

Arabinose↗

Amino acid stabilization for cell-free protein synthesis by modification of the Escherichia coli genome.

Cell-free biology provides a unique opportunity to assess and to manipulate microbial systems by inverse metabolic engineering. We have applied this approach to amino acid metabolism, one of the systems in cell-free biology that limits protein synthesis reactions. Four amino acids (arginine, tryptophan, serine and cysteine) are depleted during a 3-h batch cell-free protein synthesis reaction under various conditions. By modifying the genome of the Escherichia coli strain used to make the cell extract, we see significant stabilization of arginine, tryptophan and serine. Cysteine, however, continues to be degraded. Cell-free protein synthesis with the modified cell extract produces increased yields of the cysteine-free protein Outer Membrane Protein T (OmpT).

Amino Acids↗

Estimating optimal profiles of genetic alterations using constraint-based models.

Metabolic engineering involves application of recombinant DNA methods to manipulate metabolic networks to improve cellular properties. It is critical that the genetic alterations be performed in an optimal manner to maximize profit. In addition to the product yield, productivity consideration is also critical, especially for the production of bulk chemicals such as 1,3-propanediol. In this work, we demonstrate that it is suboptimal from the standpoint of productivity to induce genetic alteration at the start of the production process. A bi-level optimization scheme is formulated to determine the optimal temporal flux profile for the manipulated reaction. In the first case study, an optimal flux in the reaction catalyzed by glycerol kinase is determined to maximize the glycerol production at the end of a 6-h batch cultivation of Escherichia coli under aerobic conditions. The final glycerol concentration is 30% higher for the optimal flux profile compared with having an active flux during the entire batch. The effect of the mass transfer coefficient on the optimal profile and the glycerol concentration is also determined. In the second case study, the anaerobic batch fermentation of the ldh(-) strain of Escherichia coli is considered. The optimal flux in the acetate pathway is determined to maximize the final ethanol concentration. The optimal flux results in higher ethanol concentration (11.92 mmol L(-1)) compared to strains with no acetate flux (8.36 mmol L(-1)) and fully active acetate flux (6.22 mmol L(-1)). We also examine the effects of growth inhibition due to high ethanol concentrations and variations in final batch time on ethanol production.

Algorithms↗

Engineering cells for cell culture bioprocessing--physiological fundamentals.

In the past decade, we have witnessed a tremendous increase in the number of mammalian cell-derived therapeutic proteins with clinical applications. The success of making these life-saving biologics available to the public is partly due to engineering efforts to enhance process efficiency. To further improve productivity, much effort has been devoted to developing metabolically engineered producing cells, which possess characteristics favorable for large-scale bioprocessing. In this article we discuss the fundamental physiological basis for cell engineering. Different facets of cellular mechanisms, including metabolism, protein processing, and the balancing pathways of cell growth and apoptosis, contribute to the complex traits of favorable growth and production characteristics. We present our assessment of the current state of the art by surveying efforts that have already been undertaken in engineering cells for a more robust process. The concept of physiological homeostasis as a key determinant and its implications on cell engineering is emphasized. Integrating the physiological perspective with cell culture engineering will facilitate attainment of dream cells with superlative characteristics.

Animals↗

Strategies in high-level expression of recombinant protein in Escherichia coli.

The accumulation of acetate is one of the most commonly encountered problems in attaining high levels of recombinant protein production using E. coli. Two different approaches are examined to reduce the rate of acetate formation. The effects of reduced acetate accumulation on recombinant protein production were also investigated. In the first approach, E. coli mutant strains deficient in enzymes involved in the acetate synthesis pathways were isolated and characterized. The level of specific production of beta-galactosidase by the mutant strain is three times higher than its parent strain. In another approach, metabolic engineering techniques were employed to fine-tune the central metabolic pathways to reduce the amount of acetate formation. The resulting strain, which carries the acetolactase synthase gene from B. subtilis, is successful in maintaining a very low level of acetate accumulation. The ALS-containing strain is also capable of producing higher levels of recombinant protein than its parent strain.

Acetates↗

A synergistic effect on the production of S-adenosyl-L-methionine in Pichia pastoris by knocking in of S-adenosyl-L-methionine synthase and knocking out of cystathionine-beta synthase.

Two strategies of metabolic engineering have been used, individually or combined, to alter the metabolic flux to improve the production of S-adenosyl-L-methionine (SAM) in Pichia pastoris. One is over expressing SAM synthase by knock-in technique, the other is the disruption of cystathionine-beta synthase (CBS) by knock-out technique. Strain Gsam with ectopic SAM synthase gene produced 20 times of SAM comparing to the starter strain GS115. Disruption of CBS in GS115 only doubled its SAM production. However, disruption of CBS in Gsam results in a robust increase of SAM production, more than 56 times of the strain GS115. Thus, we report for the first time a synergistic effect on the production of SAM in yeast by the combination of knock-in and knock-out techniques. Furthermore, we optimize the cultural conditions for the genetically modified strain Gsam-cbs to produce SAM. The maximum yield of SAM reaches 3.6g/L in shake flask and 13.5g/L in a 5L fermentor, indicating that it could be used for industrial fermentation to produce large scale of SAM.

Bioreactors↗

Biotechnology-a sustainable alternative for chemical industry.

This review outlines the current and emerging applications of biotechnology, particularly in the production and processing of chemicals, for sustainable development. Biotechnology is "the application of scientific and engineering principles to the processing of materials by biological agents". Some of the defining technologies of modern biotechnology include genetic engineering; culture of recombinant microorganisms, cells of animals and plants; metabolic engineering; hybridoma technology; bioelectronics; nanobiotechnology; protein engineering; transgenic animals and plants; tissue and organ engineering; immunological assays; genomics and proteomics; bioseparations and bioreactor technologies. Environmental and economic benefits that biotechnology can offer in manufacturing, monitoring and waste management are highlighted. These benefits include the following: greatly reduced dependence on nonrenewable fuels and other resources; reduced potential for pollution of industrial processes and products; ability to safely destroy accumulated pollutants for remediation of the environment; improved economics of production; and sustainable production of existing and novel products.

Biotechnology↗

Water a major source of endocrine-disrupting chemicals: An overview on the occurrence, implications on human health and bioremediation strategies.

Endocrine disrupting chemicals (EDCs) are toxic compounds that occur naturally or are the output of anthropogenic activities that negatively impact both humans and wildlife. A number of diseases are associated with these disruptors, including reproductive disorders, cardiovascular disorders, kidney disease, neurological disorders, autoimmune disorders, and cancer. Due to their integral role in pharmaceuticals and cosmetics, packaging companies, agro-industries, pesticides, and plasticizers, the scientific awareness on natural and artificial EDCs are increasing. As these xenobiotic compounds tend to bioaccumulate in body tissues and may also persist longer in the environment, the concentrations of these organic compounds may increase far from their original point of concentrations. Water remains as the major sources of how humans and animals are exposed to EDCs. However, these toxic compounds cannot be completely biodegraded nor bioremediated from the aqueous medium with conventional treatment strategies thereby requiring much more efficient strategies to combat EDC contamination. Recently, genetically engineered microorganism, genome editing, and the knowledge of protein and metabolic engineering has revolutionized the field of bioremediation thereby helping to breakdown EDCs effectively. This review shed lights on understanding the importance of aquatic mediums as a source of EDCs exposure. Furthermore, the review sheds light on the consequences of these EDCs on human health as well as highlights the importance of different remediation and bioremediation approaches. Particular attention is paid to the recent trends and perspectives in order to attain sustainable approaches to the bioremediation of EDCs. Additionally, rigorous restrictions to preclude the discharge of estrogenic chemicals into the environment should be followed in efforts to combat EDC pollution.

Animals↗

Advantages and disadvantages of aggregating fluxes into synthetic and degradative fluxes when modelling metabolic pathways.

It is now widely accepted that mathematical models are needed to predict the behaviour of complex metabolic networks in the cell, in order to have a rational basis for planning metabolic engineering with biotechnological or therapeutical purposes. The great complexity of metabolic networks makes it crucial to simplify them for analysis, but without violating key principles of stoichiometry or thermodynamics. We show here, however, that models for branched complex systems are sometimes obtained that violate the stoichiometry of fluxes at branch points and as a result give unrealistic metabolite concentrations at the steady state. This problem is especially important when models are constructed with the S-system form of biochemical systems theory. However, the same violation of stoichiometry can occur in metabolic control analysis if control coefficients are assumed to be constant when trying to predict the effects of large changes. We derive the appropriate matrix equations to analyse this type of problem systematically and to assess its extent in any given model.

Kinetics↗

[Knockout of the ptsG gene in Escherichia coli and cultural characterization of the mutants].

Metabolic engineering provide powerful tools for the systematic manipulation of cellular metabolic activities. The ptsG gene for glucose-specific transporter Enzyme II CBGlc of the phosphotransferase system was knock-out so as to reduce the accumulation of acetic acid in the high cell-density culture of Escherichia coli on excess glucose. The chloramphenicol-resistant cassette with short shared sequences on both ends generated by PCR was electroporated into Escherichia coli DH5alpha and JM109. Recombination between linear DNA cassettes and Escherichia coli chromosomes took place by Red recombinase functions. Therefore, the ptsG gene was disrupted to construct the mutants called DH5alphaP and JM109P. There was no difference between the mutants and parent strains in LB media.However, in LB media supplemented with glucose, the mutants of Escherichia coli deficient in ptsG showed greater biomass, together with exploiting more glucose. The maximal cell density obtained with DH5alphaP was approximately 3 times more than that of DH5alpha, then the result of JM109P increased fourfold. The products of recombinant protein TNF respectively accounted for 24.3% of total cellular protein in DH5alphaP with A600 8.28 and 20.8% of total cellular protein in JM109P with A600 7.62. The specific volume expression amount of TNF was greater in the ptsG mutant than in its parent strain. These results demonstrate that the ptsG-mutant strains will be available for high cell-density culture.

Culture Media↗

Strategy for enhanced production of A40926B0 in Nonomuraea gerenzanensis using an efficient CRISPR/AsCas12f1 system.

The global emergence of vancomycin-resistant Gram-positive pathogens underscores the urgent need for efficient production of novel lipoglycopeptide antibiotics. Dalbavancin, a last-resort therapeutic agent, relies on its key biosynthetic precursor A40926B0, whose industrial manufacture is severely limited by the low yield of wild-type Nonomuraea gerenzanensis and inefficient genetic tools for this rare actinomycete. Here, we developed a high-efficiency CRISPR/AsCas12f1 genome editing system and applied systematic metabolic engineering to boost A40926B0 biosynthesis. First, conjugation conditions were optimized to elevate the transfer efficiency in N. gerenzanensis D11. The hypercompact AsCas12f1 nuclease showed markedly lower cytotoxicity than SpCas9 and enabled 100% gene deletion efficiency with preferred PAMs (TTTG, CTTG, GTTG). Second, we strengthened the shikimate pathway via multiple genetic strategies: overexpressing feedback-resistant DAHP synthase (aroG fbr ) and chorismate mutase/prephenate dehydrogenase (tyrA fbr ), as well as knocking out pheA. This manipulation blocks the phenylalanine synthetic branch and redirects metabolic flux toward the l-tyrosine branch. Third, we engineered the branched-chain fatty acid (BCFA) pathway via promoter replacement of bkdA2B2C2, LipAB, fabF and deletion of acdH to enhance isododecanoyl side-chain supply. The combinatorial engineering yielded strain B-13, which produced 1740 mg/L A40926B0 in shake flasks. Finally, 50-L fed-batch fermentation with continuous maltodextrin feeding further increased the titer to 1817 mg/L, the highest reported titer to date. This work establishes a robust CRISPR editing tool for N. gerenzanensis and provides valuable engineering references for precursor-oriented strain improvement targeting lipoglycopeptide antibiotics, offering insights for the industrial scale production of A40926B0.

A40926B0↗

Chromosomal promoter replacement of the isoprenoid pathway for enhancing carotenoid production in E. coli.

For metabolic engineering it is advantageous in terms of stability, genetic regulation, and metabolic burden to modulate expression of relevant genes on the chromosome rather than relying on over-expression of the genes on multi-copy vectors. Here we have increased the production of beta-carotene in Escherichia coli by replacing the native promoter of the chromosomal isoprenoid genes with the strong bacteriophage T5 promoter (P(T5)). We recombined PCR fragments with the lambda-Red recombinase to effect chromosomal promoter replacement, which allows direct integration of a promoter along with a selectable marker that can subsequently be excised by the Flp/FRT site-specific recombination system. The resulting promoter-engineered isoprenoid genes were combined by serial P1 transductions into a host strain harboring a reporter plasmid containing beta-carotene biosynthesis genes allowing a visual screen for yellow color indicative of beta-carotene accumulation. Construction of an E. coli P(T5)-dxs P(T5)-ispDispF P(T5)-idi P(T5)-ispB strain resulted in producing high titers (6mg/g dry cell weight) of beta-carotene. Surprisingly, over-expression of the ispB gene, which was expected to divert carbon flow from the isoprenoid pathway to quinone biosynthesis, resulted in increased beta-carotene production. We thus demonstrated that chromosomal promoter engineering of the endogenous isoprenoid pathway yielded high levels of beta-carotene in a non-carotenogenic E. coli. The high isoprenoid flux E. coli can be used as a starting strain to produce various carotenoids by introducing heterologous carotenoid genes.

Chromosomes, Bacterial↗

Precursor flux control through targeted chromosomal insertion of the lysine epsilon-aminotransferase (lat) gene in cephamycin C biosynthesis.

Targeted gene insertion methodology was used to study the effect of perturbing alpha-aminoadipic acid precursor flux on the overall production rate of beta-lactam biosynthesis in Streptomyces clavuligerus. A high-copy-number plasmid containing the lysine epsilon-aminotransferase gene (lat) was constructed and used to transform S. clavuligerus. The resulting recombinant strain (LHM100) contained an additional complete copy of lat located adjacent to the corresponding wild-type gene in the chromosome. Biological activity and production levels of beta-lactam antibiotics were two to five times greater than in wild-type S. clavuligerus. Although levels of lysine epsilon-aminotransferase were elevated fourfold in LHM100, the level of ACV synthetase, whose gene is located just downstream of lat, remained unchanged. These data strongly support the notion that direct perturbation of alpha-aminoadipic acid precursor flux resulted in increased antibiotic production. This strategy represents a successful application of metabolic engineering based on theoretical predictions of precursor flux in a secondary metabolic pathway.

Base Sequence↗

[Revealing key interactions in the metabolic network: a model of primary phosphate transport in bacteria].

One of the main problems of metabolic engineering is to determine the genetically controlled limiting links of a metabolic network. We have built a model of the primary transport of inorganic phosphates (Pi), analyzed the Pi metabolic network in Gram-negative bacteria, and determined the factors controlling the phosphate exchange. The model explains why the Pi primary transport is not observed at the release stage. The nonlinearity of primary transport and the differences in its parameters in the membrane and within the cell give rise to transport asymmetry, i.e., the Pi release rate is low as compared with the uptake rate, and is small at the background of secondary transport. Discussed is a general scheme of coordination between primary and secondary transport, which are interconnected through the substrate-product reration.

Bacteria↗

A rule based system for the detection of metabolic diseases.

In this paper, we will present the first model which supports the automatic detection of metabolic defects. Our model is based on the theory of formal languages and on the knowledge of metabolic networks. The simulation program is the first interactive simulation shell which allows the analysis and synthesis of metabolic networks. Moreover, this formalization is a new concept in the research field of metabolic engineering [8] which allows us to produce a hypothesis for the metabolic therapy.

Cell Communication↗

13C metabolic flux analysis.

Metabolic flux analysis using 13C-labeled substrates has become an important tool in metabolic engineering. It allows the detailed quantification of all intracellular fluxes in the central metabolism of a microorganism. The method has strongly evolved in recent years by the introduction of new experimental procedures, measurement techniques, and mathematical data evaluation methods. Many of these improvements require advanced skills in the application of nuclear magnetic resonance and mass spectrometry techniques on the one hand and computational and statistical experience on the other hand. This minireview summarizes these recent developments and sketches the major practical problems. An outlook to possible future developments concludes the text.

Biomedical Engineering↗