Application of valencene and prospects for its production in engineered microorganisms.

Valencene, a sesquiterpene with the odor of sweet and fresh citrus, is widely used in the food, beverage, flavor and fragrance industry. Valencene is traditionally obtained from citrus fruits, which possess low concentrations of this compound. In the past decades, the great market demand for valencene has attracted considerable attention from researchers to develop novel microbial cell factories for more efficient and sustainable production modes. This review initially discusses the biosynthesis of valencene in plants, and summarizes the current knowledge of the key enzyme valencene synthase in detail. In particular, we highlight the heterologous production of valencene in different hosts including bacteria, fungi, microalgae and plants, and focus on describing the engineering strategies used to improve valencene production. Finally, we propose potential engineering directions aiming to further increase the production of valencene in microorganisms.

CRISPR/dCas12a knock-down of Acidithiobacillus ferrooxidans electron transport chain bc1 complexes enables enhanced metal sulfide bioleaching.

Acidithiobacillus ferrooxidans is an acidophilic chemolithoautotroph that plays an important role in biogeochemical iron and sulfur cycling and is a member of the consortia used in industrial hydrometallurgical processing of copper. Metal sulfide bioleaching is catalyzed by the regeneration of ferric iron, however, bioleaching of chalcopyrite, the dominant unmined form of copper on Earth, is inhibited by surface passivation. Here, we report the implementation of CRISPR interference (CRISPRi) using the catalytically inactive Cas12a (dCas12a) in A. ferrooxidans to knockdown the expression of genes in the petI and petII operons. These operons encode bc1 complex proteins and knockdown of these genes enabled the manipulation (enhancement or repression) of iron oxidation. The petB2 gene knockdown strain enhanced iron oxidation, leading to enhanced pyrite and chalcopyrite oxidation, which correlated with reduced biofilm formation and decreased surface passivation of the minerals. These findings highlight the utility of CRISPRi/dCas12a technology for engineering A. ferrooxidans while unveiling a new strategy to manipulate and improve bioleaching efficiency.

Synthetic microbial communities: A gateway to understanding resistance, resilience, and functionality in spontaneously fermented food microbiomes.

This review delves into the intricate traits of microbial communities encountered in spontaneously fermented foods (SFF), contributing to resistance, resilience, and functionality drivers. Traits of SFF microbiomes comprise of fluctuations in community composition, genetic stability, and condition-specific phenotypes. Synthetic microbial communities (SMCs) serve as a portal for mechanistic insights and strategic re-programming of microbial communities. Current literature underscores the pivotal role of microbiomes in SFF in shaping quality attributes and preserving the cultural heritage of their origin. In contrast to starter driven fermentations that tend to be more controlled but lacking the capacity to maintain or reproduce the complex flavors and intricacies found in SFF. SMCs, therefore, become indispensable tools, providing a nuanced understanding and control over fermented food microbiomes. They empower the prediction and engineering of microbial interactions and metabolic pathways with the aim of optimizing outcomes in food processing. Summarizing the current application of SMCs in fermented foods, there is still space for improvement. Challenges in achieving stability and reproducibility in SMCs are identified, stemming from non-standardized approaches. The future direction should involve embracing standardized protocols, advanced monitoring tools, and synthetic biology applications. A holistic, multi-disciplinary approach is paramount to unleashing the full potential of SMCs and fostering sustainable and innovative applications in fermented food systems.

Modeling Microbial Communities: Perspective and Challenges.

Microbial communities are immensely important due to their widespread presence and profound impact on various facets of life. Understanding these complex systems necessitates mathematical modeling, a powerful tool for simulating and predicting microbial community behavior. This review offers a critical analysis of metabolic modeling and highlights key areas that would greatly benefit from broader discussion and collaboration. Moreover, we explore the challenges and opportunities linked to the intricate nature of these communities, spanning data generation, modeling, and validation. We are confident that ongoing advancements in modeling techniques, such as machine learning, coupled with interdisciplinary collaborations, will unlock the full potential of microbial communities across diverse applications.

Multiplex Expression Cassette Assembly: A flexible and versatile method for building complex genetic circuits in conventional vectors.

The manipulation of multiple transcription units for simultaneous and coordinated expression is not only key to building complex genetic circuits to accomplish diverse functions in synthetic biology, but is also important in crop breeding for significantly improved productivity and overall performance. However, building constructs with multiple independent transcription units for fine-tuned and coordinated regulation is complicated and time-consuming. Here, we introduce the Multiplex Expression Cassette Assembly (MECA) method, which modifies canonical vectors compatible with Golden Gate Assembly, and then uses them to produce multi-cassette constructs. By embedding the junction syntax in primers that are used to amplify functional elements, MECA is able to make complex constructs using only one intermediate vector and one destination vector via two rounds of one-pot Golden Gate assembly reactions, without the need for dedicated vectors and a coherent library of standardized modules. As a proof-of-concept, we modified eukaryotic and prokaryotic expression vectors to generate constructs for transient expression of green fluorescent protein and ß-glucuronidase in Nicotiana benthamiana, genome editing to block monoterpene metabolism in tomato glandular trichomes, production of betanin in tobacco and synthesis of ß-carotene in Escherichia coli. Additionally, we engineered the stable production of thymol and carvacrol, bioactive compounds from Lamiaceae family plants, in glandular trichomes of tobacco. These results demonstrate that MECA is a flexible, efficient and versatile method for building complex genetic circuits, which will not only play a critical role in plant synthetic biology, but also facilitate improving agronomic traits and pyramiding traits for the development of next-generation elite crops.

Synthetic, marine, light-driven, autotroph-heterotroph co-culture system for sustainable ß-caryophyllene production.

Applying low-cost substrate is critical for sustainable bioproduction. Co-culture of phototrophic and heterotrophic microorganisms can be a promising solution as they can use CO2 and light as feedstock. This study aimed to create a light-driven consortium using a marine cyanobacterium Synechococcus sp. PCC 7002 and an industrial yeast Yarrowia lipolytica. First, the cyanobacterium was engineered to accumulate and secrete sucrose by regulating the expression of genes involved in sucrose biosynthesis and transport, resulting in 4.0 g/L of sucrose secretion. Then, Yarrowia lipolytica was engineered to efficiently use sucrose and produce ß-caryophyllene that has various industrial applications. Then, co- and sequential-culture were optimized with different induction conditions and media compositions. A maximum ß-caryophyllene yield of 14.1 mg/L was obtained from the co-culture. This study successfully established an artificial light-driven consortium based on a marine cyanobacterium and Y. lipolytica, and provides a foundation for sustainable bioproduction from CO2 and light through co-culture systems.

Engineering oleaginous red yeasts as versatile chassis for the production of olechemicals and valuable compounds: Current advances and perspectives.

Enabling the transition towards a future circular bioeconomy based on industrial biomanufacturing necessitates the development of efficient and versatile microbial platforms for sustainable chemical and fuel production. Recently, there has been growing interest in engineering non-model microbes as superior biomanufacturing platforms due to their broad substrate range and high resistance to stress conditions. Among these non-conventional microbes, red yeasts belonging to the genus Rhodotorula have emerged as promising industrial chassis for the production of specialty chemicals such as oleochemicals, organic acids, fatty acid derivatives, terpenoids, and other valuable compounds. Advancements in genetic and metabolic engineering techniques, coupled with systems biology analysis, have significantly enhanced the production capacity of red yeasts. These developments have also expanded the range of substrates and products that can be utilized or synthesized by these yeast species. This review comprehensively examines the current efforts and recent progress made in red yeast research. It encompasses the exploration of available substrates, systems analysis using multi-omics data, establishment of genome-scale models, development of efficient molecular tools, identification of genetic elements, and engineering approaches for the production of various industrially relevant bioproducts. Furthermore, strategies to improve substrate conversion and product formation both with systematic and synthetic biology approaches are discussed, along with future directions and perspectives in improving red yeasts as more versatile biotechnological chassis in contributing to a circular bioeconomy. The review aims to provide insights and directions for further research in this rapidly evolving field. Ultimately, harnessing the capabilities of red yeasts will play a crucial role in paving the way towards next-generation sustainable bioeconomy.

Engineering a GPCR-based yeast biosensor for a highly sensitive melatonin detection from fermented beverages.

Melatonin is a multifunctional molecule with diverse biological roles that holds great value as a health-promoting bioactive molecule in any food product and yeast's ability to produce it has been extensively demonstrated in the last decade. However, its quantification presents costly analytical challenges due to the usual low concentrations found as the result of yeast metabolism. This study addresses these analytical challenges by optimizing a yeast biosensor based on G protein-coupled receptors (GPCR) for melatonin detection and quantitation. Strategic genetic modifications were employed to significantly enhance its sensitivity and fluorescent signal output, making it suitable for detection of yeast-produced melatonin. The optimized biosensor demonstrated significantly improved sensitivity and fluorescence, enabling the screening of 101 yeast strains and the detection of melatonin in various wine samples. This biosensor's efficacy in quantifying melatonin in yeast growth media underscores its utility in exploring melatonin production dynamics and potential applications in functional food development. This study provides a new analytical approach that allows a rapid and cost-effective melatonin analysis to reach deeper insights into the bioactivity of melatonin in fermented products and its implications for human health. These findings highlight the broader potential of biosensor technology in streamlining analytical processes in fermentation science.

Systems-Level Modeling for CRISPR-Based Metabolic Engineering.

The CRISPR-Cas system has enabled the development of sophisticated, multigene metabolic engineering programs through the use of guide RNA-directed activation or repression of target genes. To optimize biosynthetic pathways in microbial systems, we need improved models to inform design and implementation of transcriptional programs. Recent progress has resulted in new modeling approaches for identifying gene targets and predicting the efficacy of guide RNA targeting. Genome-scale and flux balance models have successfully been applied to identify targets for improving biosynthetic production yields using combinatorial CRISPR-interference (CRISPRi) programs. The advent of new approaches for tunable and dynamic CRISPR activation (CRISPRa) promises to further advance these engineering capabilities. Once appropriate targets are identified, guide RNA prediction models can lead to increased efficacy in gene targeting. Developing improved models and incorporating approaches from machine learning may be able to overcome current limitations and greatly expand the capabilities of CRISPR-Cas9 tools for metabolic engineering.

Systems Metabolic Engineering to Elucidate and Enhance Intestinal Metabolic Activities of Escherichia coli Nissle 1917.

Escherichia coli Nissle 1917 (EcN) is one of the most widely used probiotics to treat gastrointestinal diseases. Recently, many studies have engineered EcN to release therapeutic proteins to treat specific diseases. However, because EcN exhibits intestinal metabolic activities, it is difficult to predict outcomes after administration. In silico and fermentation profiles revealed mucin metabolism of EcN. Multiomics revealed that fucose metabolism contributes to the intestinal colonization of EcN by enhancing the synthesis of flagella and nutrient uptake. The multiomics results also revealed that excessive intracellular trehalose synthesis in EcN, which is responsible for galactose metabolism, acts as a metabolic bottleneck, adversely affecting growth. To improve the ability of EcN to metabolize galactose, otsAB genes for trehalose synthesis were deleted, resulting in the ΔotsAB strain; the ΔotsAB strain exhibited a 1.47-fold increase in the growth rate and a 1.37-fold increase in the substrate consumption rate relative to wild-type EcN.

Metabolic Engineering of Candida tropicalis for the De Novo Synthesis of ß-Ionone.

ß-ionone, a norisoprenoid, is a natural aromatic compound derived from plants, which displays various biological activities including anticancer, antioxidant and deworming properties. Due to its large biomass and strong environmental tolerance, the nonconventional oleaginous yeast Candida tropicalis was selected to efficiently synthesize ß-ionone. We initially investigated the capacity of the cytoplasm and subcellular compartments to synthesize ß-ionone independently. Subsequently, through adaptive screening of enzymes, functional identification of subcellular localization signal peptides and subcellular compartment combination strategies, a titer of 152.4 mg/L of ß-ionone was achieved. Finally, directed evolution of rate-limiting enzyme and overexpression of key enzymes were performed to enhance ß-ionone production. The resulting titer was 400.5 mg/L in shake flasks and 730 mg/L in a bioreactor. This study demonstrates the first de novo synthesis of ß-ionone in C. tropicalis, providing a novel cellular chassis for terpenoid fragrances with considerable industrial potential.

Inverse metabolic engineering based on metabonomics for efficient production of hydroxytyrosol by Saccharomyces cerevisiae.

Metabolic engineering provides a powerful approach to efficiently produce valuable compounds, with the aid of emerging gene editing tools and diverse metabolic regulation strategies. However, apart from the current known biochemical pathway information, a variety of unclear constraints commonly limited the optimization space of cell phenotype. Hydroxytyrosol is an important phenolic compound that serves various industries with prominent health-beneficial properties. In this study, the inverse metabolic engineering based on metabolome analysis was customized and implemented to disclose the hidden rate-limiting steps and thus to improve hydroxytyrosol production in Saccharomyces cerevisiae (S. cerevisiae). The potential rate-limiting steps involved three modules that were eliminated individually via reinforcing and balancing metabolic flow, optimizing cofactor supply, and weakening the competitive pathways. Ultimately, a 118.53 % improvement in hydroxytyrosol production (639.84 mg/L) was achieved by inverse metabolic engineering.

Multilevel metabolic engineering for enhanced synthesis of S-adenosylmethionine by Bacillus amyloliquefaciens.

OBJECTIVES: To enhance the de novo synthesis of SAM, the effects of several key genes on SAM synthesis were examined based on modular strategy, and the key genes were manipulated to obtain an engineered strain with high SAM production. RESULTS: In Bacillus amyloliquefaciens HSAM6, the deletion of argG gene to block aspartic acid branching degradation increased SAM titer to 254.78 ± 15.91 mg/L, up 18% from HSAM6. Subsequently, deleting the moaA gene to boost the supply of 5-methyltetrahydrofolate led to the stunted growth and the plummeting yield of SAM. Further improvement of strain growth by overexpression of the citA gene, while SAM synthesis was not significantly enhanced. Finally, the maximum SAM titer (452.89 ± 13.42 mg/L) was obtained by overexpression SAM2 gene using the multicopy plasmid. CONCLUSIONS: The deletion of argG gene and the overexpression of SAM2 gene significantly improved SAM synthesis in B. amyloliquefaciens.

Metabolic pathway engineering of high-salinity-induced overproduction of L-proline improves high-salinity stress tolerance of an ectoine-deficient Halomonas elongata.

Halophilic bacteria have adapted to survive in high-salinity environments by accumulating amino acids and their derivatives as organic osmolytes. L-Proline (Pro) is one such osmolyte that is also being used as a feed stimulant in the aquaculture industry. Halomonas elongata OUT30018 is a moderately halophilic bacterium that accumulates ectoine (Ect), but not Pro, as an osmolyte. Due to its ability to utilize diverse biomass-derived carbon and nitrogen sources for growth, H. elongata OUT30018 is used in this work to create a strain that overproduces Pro, which could be used as a sustainable Pro-rich feed additive. To achieve this, we replaced the coding region of H. elongata OUT30018's Ect biosynthetic operon with the artificial self-cloned proBm1AC gene cluster that encodes the Pro biosynthetic enzymes: feedback-inhibition insensitive mutant γ-glutamate kinase (γ-GKD118N/D119N), γ-glutamyl phosphate reductase, and pyrroline-5-carboxylate reductase. Additionally, the putA gene, which encodes the key enzyme of Pro catabolism, was deleted from the genome to generate H. elongata HN6. While the Ect-deficient H. elongata KA1 could not grow in minimal media containing more than 4% NaCl, H. elongata HN6 thrived in the medium containing 8% NaCl by accumulating Pro in the cell instead of Ect, reaching a concentration of 353.1 ± 40.5 µmol/g cell fresh weight, comparable to the Ect accumulated in H. elongata OUT30018 in response to salt stress. With its genetic background, H. elongata HN6 has the potential to be developed into a Pro-rich cell factory for upcycling biomass waste into single-cell feed additives, contributing to a more sustainable aquaculture industry.IMPORTANCEWe report here the evidence for de novo biosynthesis of Pro to be used as a major osmolyte in an ectoine-deficient Halomonas elongata. Remarkably, the concentration of Pro accumulated in H. elongata HN6 (∆ectABC::mCherry-proBm1AC ∆putA) is comparable to that of ectoine accumulated in H. elongata OUT30018 in response to high-salinity stress. We also found that among the two γ-glutamate kinase mutants (γ-GKD118N/D119N and γ-GKD154A/E155A) designed to resemble the two known Escherichia coli feedback-inhibition insensitive γ-GKD107N and γ-GKE143A, the γ-GKD118N/D119N mutant is the only one that became insensitive to feedback inhibition by Pro in H. elongata. As Pro is one of the essential feed additives for the poultry and aquaculture industries, the genetic makeup of the engineered H. elongata HN6 would allow for the sustainable upcycling of high-salinity waste biomass into a Pro-rich single-cell eco-feed.

Microbial production of an aromatic homopolyester.

We report the development of a metabolically engineered bacterium for the fermentative production of polyesters containing aromatic side chains, serving as sustainable alternatives to petroleum-based plastics. A metabolic pathway was constructed in an Escherichia coli strain to produce poly[d-phenyllactate(PhLA)], followed by three strategies to enhance polymer production. First, polyhydroxyalkanoate (PHA) granule-associated proteins (phasins) were introduced to increase the polymer accumulation. Next, metabolic engineering was performed to redirect the metabolic flux toward PhLA. Furthermore, PHA synthase was engineered based on in silico simulation results to enhance the polymerization of PhLA. The final strain was capable of producing 12.3 g/l of poly(PhLA), marking it the first bio-based process for producing an aromatic homopolyester. Additional heterologous gene introductions led to the high level production of poly(3-hydroxybutyrate-co-11.7 mol% PhLA) copolymer (61.4 g/l). The strategies described here will be useful for the bio-based production of aromatic polyesters from renewable resources.

[Metabolic engineering of Klebsiella pneumoniae for 1, 3-propanediol production].

1, 3-propanediol is an important monomer for the production of polytrimethylene terephthalate (PTT). Currently, it is mainly produced by microbial fermentation, which, however, has low production efficiency. To address this problem, this study employed atmospheric room temperature plasma (ARTP) mutagenesis technology and high-throughput screening to obtain a strain with high tolerance to osmotic pressure, which achieved a 1, 3-propanediol titer of 87 g/L. Furthermore, the gene expression elements suitable for Klebsiella pneumoniae were screened, and metabolic engineering was employed to block redundant metabolic pathways (deletion of ldhA, budA, and aldA) and enhance the synthesis pathway (overexpression of dhaB and yqhD). The titer of 1, 3-propanediol produced by the engineered strain increased to 107 g/L. Finally, in a 5 L fermenter, the optimal strain KP-FMME-6 achieved a 1, 3-propanediol titer of 118 g/L, with a glycerol conversion rate of 42% and productivity of 2.46 g/(h·L), after optimization of the fermentation parameters. This study provides a reference for the industrial production of 1, 3-propanediol.

[Preface for special issue on Microbial Chemical Factories].

Microbial chemical factories utilize engineering design principles to re-build natural production pathways, enabling the precise, quantitative, and efficient synthesis of chemicals. This is achieved through the optimization of synthetic pathways, the reconstruction of biochemical networks, the development of novel components, and the integration of pathways with cellular and environmental contexts. As a transformative approach to chemical production, microbial chemical factories play a critical role in establishing renewable raw material pathways for industrial economic development and advancing sustainable growth. This innovative model has become a strategic priority for technological advancement and industrial competitiveness in developed nations. This industry has expanded into diverse sectors, including pharmaceuticals, food production, chemicals, and energy. To showcase the most recent scientific advancements in the field of microbial chemical production and to promote the evolution of the bio-manufacturing industry, we organized a special issue entitled "Microbial Chemical Factories". This edition features the latest research conducted by domestic scientists, focusing on areas such as the synthesis of material monomers, pharmaceutical intermediates, functional food ingredients, organic acid biosynthesis, and the development and utilization of non-food feedstock. It provides reference and guidance for the further development of microbial chemical factories.

[Metabolic engineering of Escherichia coli for the production of cadaverine].

Cadaverine is a fundamental C5 building block in the production of polyamides. Due to the limited regeneration efficiency of intracellular pyridoxal 5'-phosphate (PLP), the current fermentation-based production of cadaverine exhibits low efficiency. In this study, we developed an Escherichia coli strain L01 by introducing lysine decarboxylase (lysine decarboxylase, LDC, a key enzyme in the synthesis of cadaverine) into a lysine-producing strain E. coli LY-4, achieving a cadaverine tier of 1.07 g/L in shake flask fermentation. Subsequently, a dual metabolic pathway enhancement strategy was proposed to synergistically strengthen both endogenous and exogenous PLP synthesis modules, thereby improving intracellular PLP synthesis. The optimized strain L11 achieved a cadaverine titer of 9.23 g/L in shake flask fermentation. Finally, the fermentation process for cadaverine production by strain L11 was optimized in a 5 L fermenter. After 48 h of fed-batch fermentation, the engineered strain L11 achieved the cadaverine titer, yield, and productivity of 54.43 g/L, 0.22 g/g, and 1.13 g/(L·h), respectively. This study provides a theoretical and technical foundation for establishing microbial cell factories for bioamine production.

[Metabolic engineering of the substrate utilization pathway in Escherichia coli increases L-lysine production].

L-lysine is an essential amino acid with broad applications in the animal feed, human food, and pharmaceutical industries. The fermentation production of L-lysine by Escherichia coli has limitations such as poor substrate utilization efficiency and low saccharide conversion rates. We deleted the global regulatory factor gene mlc and introduced heterologous genes, including the maltose phosphotransferase genes (malAP) from Bacillus subtilis, to enhance the use efficiency of disaccharides and trisaccharides. The engineered strain E. coli XC3 demonstrated improved L-lysine production, yield, and productivity, which reached 160.00 g/L, 63.78%, and 4.44 g/(L‧h), respectively. Furthermore, we overexpressed the glutamate dehydrogenase gene (gdhA) and assimilated nitrate reductase genes (BsnasBC) from B. subtilis, along with nitrite reductase genes (EcnirBD) from E. coli, in strain E. coli XC3. This allowed the construction of E. coli XC4 with a nitrate assimilation pathway. The L-lysine production, yield, and productivity of E. coli XC4 were elevated to 188.00 g/L, 69.44%, and 5.22 g/(L‧h), respectively. After optimization of the residual sugar concentration and carbon to nitrogen ratio, the L-lysine production, yield, and productivity were increased to 204.00 g/L, 72.32%, and 5.67 g/(L‧h), respectively, in a 5 L fermenter. These values represented the increases of 40.69%, 20.03%, and 40.69%, respectively, compared with those of the starting strain XC1. By engineering the substrate utilization pathway, we successfully constructed a high-yield L-lysine producing strain, laying a solid foundation for the industrial production of L-lysine.

[Metabolic engineering of Escherichia coli for thymidine production].

Thymidine, as a crucial precursor of anti-AIDS drugs (e.g., zidovudine and stavudine), has wide application potential in the pharmaceutical industry. In this study, we introduced the thymidine biosynthesis pathway into the wild-type Escherichia coli MG1655 by systems metabolic engineering to improve the thymidine production in E. coli. Firstly, deoA, tdk, udp, rihA, rihB, and rihC were successively deleted to block the thymidine degradation pathway and salvage pathway in the wild-type E. coli MG1655. Then, the pyrimidine nucleoside operons from Bacillus subtilis F126 were introduced to enlarge the metabolic flux of the uridylic acid synthesis pathway. Finally, the expression of uridylate kinase, ribonucleoside diphosphate reductase, thymidine synthase, and 5'-nucleotidase in the thymidine biosynthesis pathway was optimized to enhance the metabolic flux from uridylic acid to thymidine. The engineered THY6-2 strain produced 11.10 g/L thymidine in a 5 L bioreactor with a yield of 0.04 g/g glucose and productivity of 0.23 g/(L·h). In this study, we constructed a strain that used glucose as the only carbon source for efficient production of thymidine and did not harbor plasmids, which provided a reference for the research on other pyrimidine nucleosides.