Metabolic Engineering Strategies Research Articles

Genomic and metabolomic insights into the selection and differentiation of bioactive compounds in citrus

Bioactive compounds play an increasingly prominent role in breeding functional and nutritive fruit crops such as citrus. However, the genomic and metabolic bases for the selection and differentiation underlying bioactive compound variations in citrus remain poorly understood. In this study, we constructed a species-level variation atlas of genomes and metabolomes using 299 citrus accessions. A total of 19 829 significant SNPs were targeted to 653 annotated metabolites, among which multiple significant signals were identified for secondary metabolites, especially flavonoids. Significant differential accumulation of bioactive compounds in the phenylpropane pathway, mainly flavonoids and coumarins, was unveiled across ancestral citrus species during differentiation, which is likely associated with the divergent haplotype distribution and/or expression profiles of relevant genes, including p-coumaroyl coenzyme A 2′-hydroxylases, flavone synthases, cytochrome P450 enzymes, prenyltransferases, and UDP-glycosyltransferases. Moreover, we systematically evaluated the beneficial bioactivities such as the antioxidant and anticancer capacities of 219 citrus varieties, and identified robust associations between distinct bioactivities and specific metabolites. Collectively, these findings provide citrus breeding options for enrichment of beneficial flavonoids and avoidance of potential risk of coumarins. Our study will accelerate the application of genomic and metabolic engineering strategies in developing modern healthy citrus cultivars.

Microbial production of 5-epi-jinkoheremol, a plant-derived antifungal sesquiterpene.

Synthetic biology using microbial chassis is emerging as a powerful tool for the production of natural chemicals. In the present study, we constructed a microbial platform for the high-level production of a sesquiterpene from Catharanthus roseus, 5-epi-jinkoheremol, which exhibits strong fungicidal activity. First, the mevalonate and sterol biosynthesis pathways were optimized in engineered yeast to increase the metabolic flux toward the biosynthesis of the precursor farnesyl pyrophosphate. Then, the transcription factor Hac1- and m6A writer Ime4-based metabolic engineering strategies were implemented in yeast to increase 5-epi-jinkoheremol production further. Next, protein engineering was performed to improve the catalytic activity and enhance the stability of the 5-epi-jinkoheremol synthase TPS18, resulting in the variant TPS18I21P/T414S, with the most improved properties. Finally, the titer of 5-epi-jinkoheremol was elevated to 875.25 mg/L in a carbon source-optimized medium in shake flask cultivation. To the best of our knowledge, this is the first study to construct an efficient microbial cell factory for the sustainable production of this antifungal sesquiterpene.IMPORTANCEBiofungicides represent a new and sustainable tool for the control of crop fungal diseases. However, hindered by the high cost of biofungicide production, their use is not as popular as expected. Synthetic biology using microbial chassis is emerging as a powerful tool for the production of natural chemicals. We previously identified a promising sesquiterpenoid biofungicide, 5-epi-jinkoheremol. Here, we constructed a microbial platform for the high-level production of this chemical. The metabolic engineering of the terpene biosynthetic pathway was firstly employed to increase the metabolic flux toward 5-epi-jinkoheremol production. However, the limited catalytic activity of the key enzyme, TPS18, restricted the further yield of 5-epi-jinkoheremol. By using protein engineering, we improved its catalytic efficiency, and combined with the optimization of regulation factors, the highest production of 5-epi-jinkoheremol was achieved. Our work was useful for the larger-scale efficient production of this antifungal sesquiterpene.

Promotion of gentiopicroside production and transcriptional responses of biosynthetic genes in adventitious root cultures of Gentiana scabra Bunge by elicitation with methyl jasmonate

Abiotic elicitors play a crucial role in regulating various aspects of plant growth, development, and specialized metabolism. This study aimed to further increase the gentiopicroside content by screening elicitor types, optimizing elicitation conditions, and estimating transcriptional responses of biosynthetic genes in the adventitious roots of Gentiana scabra. The results showed that methyl jasmonate (MeJA) was the most effective inducer for biomass accumulation in the adventitious roots of G. scabra among tested elicitors, with fresh weight (FW) and dry weight (DW) of 13.26 ± 0.57 g flask−1 and 1.31 ± 0.25 g flask−1, respectively. The effects of the induction time and concentration of MeJA on the biomass and gentiopicroside content in the adventitious roots of G. scabra were investigated. The maximum FW (15.73 ± 0.41 g flask−1) and DW (1.51 ± 0.19 g flask−1) were obtained when the roots were cultured for 6 days in MS liquid medium containing 3.0 mg L−1 1-naphthlcetic acid (NAA) and 1.0 mg L−1 kinetin (KT) at MeJA concentration of 100 μM L−1. Also, the gentiopicroside content significantly increased to 62.62 ± 0.27 mg g−1 DW, and was 2.49 times higher than that for the nontreated control. The expression levels of 12 candidate gentiopicroside biosynthesis–related genes involved in the mevalonic acid (MVA), methyl erythritol phosphate (MEP), and secoiridoid pathways were estimated in the adventitious roots of G. scabra to further understand the transcriptional response to MeJA elicitation. Among these, 10 genes (ACCT1, HMGR1, MCK1, MVD1, GPPS4, G10H, IS3, DL7H1, DXS5, and ISPH5) were upregulated whereas DXR1 and IDI1 genes were downregulated in the adventitious roots of G. scabra compared with nontreated control, with significant differences having threshold P value ≤0.05. The transcriptional analyses revealed that 12 candidate genes were the key regulated genes in the gentiopicroside biosynthetic pathway. Overall, the findings provided a promising, feasible, and stable approach to utilizing MeJA elicitation to increase the production of valuable gentiopicroside. Additionally, they provided a foundation for future gentiopicroside biosynthesis through metabolic engineering strategies in the adventitious roots of G. scabra.

Unveiling Metabolic Engineering Strategies by Quantitative Heterologous Pathway Design.

Constructing efficient cell factories requires the rational design of metabolic pathways, yet quantitatively predicting the potential pathway for breaking stoichiometric yield limit in hosts remains challenging. This leaves it uncertain whether the pathway yield of various products can be enhanced to surpass the stoichiometric yield limit and whether common strategies exist. Here, a high-quality cross-species metabolic network model (CSMN) and a quantitative heterologous pathway design algorithm (QHEPath) are developed to address this challenge. Through systematic calculations using CSMN and QHEPath, 12,000 biosynthetic scenarios are evaluated across 300 products and 4 substrates in 5 industrial organisms, revealing that over 70% of product pathway yields can be improved by introducing appropriate heterologous reactions. Thirteen engineering strategies, categorized as carbon-conserving and energy-conserving, are identified, with 5 strategies effective for over 100 products. A user-friendly web server is developed to quantitatively calculate and visualize the product yields and pathways, which successfully predicts biologically plausible strategies validated in literature for multiple products.

Identification of a novel NADPH generation reaction in the pentose phosphate pathway in Escherichia coli using mBFP.

NADPH is a redox cofactor that drives the anabolic reactions. Although major NADPH generation reactions have been identified in Escherichia coli, some minor reactions have not been identified. In the present study, we explored novel NADPH generation reactions by monitoring the fluorescence dynamics after the addition of carbon sources to starved cells, using a metagenome-derived blue fluorescent protein (mBFP) as an intracellular NADPH reporter. Perturbation analyses were performed on a glucose-6-phosphate isomerase (PGI) deletion strain and its parental strain. Interestingly, mBFP fluorescence increased not only in the parental strain but also in the ΔPGI strain after the addition of xylose. Because the ΔPGI strain cannot metabolize xylose through the oxidative pentose phosphate pathway, this suggests that an unexpected NADPH generation reaction contributes to an increase in fluorescence. To unravel this mystery, we deleted the NADPH generation enzymes including transhydrogenase, isocitrate dehydrogenase, NADP+-dependent malic enzyme, glucose-6-phosphate dehydrogenase (G6PDH), and 6-phosphogluconate dehydrogenase (6PGDH) in the ΔPGI strain, and revealed that G6PDH and 6PGDH contribute to an increase in fluorescence under xylose conditions. In vitro assays using purified enzymes showed that G6PDH can produce NADPH using erythrose-4-phosphate (E4P) as a substitute for glucose-6-phosphate. Because the Km (0.65 mM) for E4P was much higher than the reported intracellular E4P concentrations in E. coli, little E4P must be metabolized through this bypass in the parental strain. However, the flux would increase when E4P accumulates in the cells owing to genetic modifications. This finding provides a metabolic engineering strategy for generating NADPH to produce useful compounds using xylose as a carbon source.IMPORTANCEBecause NADPH is consumed during the synthesis of various useful compounds, enhancing NADPH regeneration is highly desirable in metabolic engineering. In this study, we explored novel NADPH generation reactions in Escherichia coli using a fluorescent NADPH reporter and found that glucose-6-phosphate dehydrogenase can produce NADPH using erythrose-4-phosphate as a substrate under xylose conditions. Xylose is an abundant sugar in nature and is an attractive carbon source for bioproduction. Therefore, this finding contributes to novel pathway engineering strategies using a xylose carbon source in E. coli to produce useful compounds that consume NADPH for their synthesis.

Static and Dynamic Regulation of Precursor Supply Pathways to Enhance Raspberry Ketone Synthesis from Glucose in Escherichia coli.

Raspberry ketone (RK), a natural product derived from raspberry fruit, is commonly utilized as a flavoring agent in foods and as an active component for weight loss. Metabolic engineering has enabled microorganisms to produce RK more efficiently and cost-effectively. However, the biosynthesis of RK is hindered by an unbalanced synthetic pathway and a deficiency of precursors, including tyrosine and malonyl-CoA. In this study, we constructed and optimized the RK synthetic pathway in Escherichia coli using a static metabolic engineering strategy to enhance the biosynthesis of tyrosine from glucose, thereby achieving the de novo production of RK. Additionally, the synthetic and consumption pathways of malonyl-CoA were dynamically regulated by p-coumaric acid-responsive biosensor to balance the metabolic flux distribution between cell growth and RK biosynthesis. Following pathway optimization, the medium components and fermentation conditions were further refined, resulting in a significant increase in the RK titer to 415.56 mg/L. The optimized strain demonstrated a 32.4-fold increase in the RK titer while maintaining a comparable final OD600 to the initial strain. Overall, the implemented static and dynamic regulatory strategies provide a novel approach for the efficient production of RK, taking into account cell viability and growth.

From Knallgas Bacterium to Promising Biomanufacturing Host: The Evolution of Cupriavidus necator.

The expanding field of synthetic biology requires diversification of microbial chassis to expedite the transition from a fossil fuel-dependent economy to a sustainable bioeconomy. Relying exclusively on established model organisms such as Escherichia coli and Saccharomyces cerevisiae may not suffice to drive the profound advancements needed in biotechnology. In this context, Cupriavidus necator, an extraordinarily versatile microorganism, has emerged as a potential catalyst for transformative breakthroughs in industrial biomanufacturing. This comprehensive book chapter offers an in-depth review of the remarkable technological progress achieved by C. necator in the past decade, with a specific focus on the fields of molecular biology tools, metabolic engineering, and innovative fermentation strategies. Through this exploration, we aim to shed light on the pivotal role of C. necator in shaping the future of sustainable bioprocessing and bioproduct development.

Genome-Scale Metabolic Modeling of Halomonas elongata 153B Explains Polyhydroxyalkanoate and Ectoine Biosynthesis in Hypersaline Environments.

Halomonas elongata thrives in hypersaline environments producing polyhydroxyalkanoates (PHAs) and osmoprotectants such as ectoine. Despite its biotechnological importance, several aspects of the dynamics of its metabolism remain elusive. Here, we construct and validate a genome-scale metabolic network model for H. elongata 153B. Then, we investigate the flux distribution dynamics during optimal growth, ectoine, and PHA biosynthesis using statistical methods, and a pipeline based on shadow prices. Lastly, we use optimization algorithms to uncover novel engineering targets to increase PHA production. The resulting model (iEB1239) includes 1534 metabolites, 2314 reactions, and 1239 genes. iEB1239 can reproduce growth on several carbon sources and predict growth on previously unreported ones. It also reproduces biochemical phenotypes related to Oad and Ppc gene functions in ectoine biosynthesis. A flux distribution analysis during optimal ectoine and PHA biosynthesis shows decreased energy production through oxidative phosphorylation. Furthermore, our analysis unveils a diverse spectrum of metabolic alterations that extend beyond mere flux changes to encompass heightened precursor production for ectoine and PHA synthesis. Crucially, these findings capture other metabolic changes linked to adaptation in hypersaline environments. Bottlenecks in the glycolysis and fatty acid metabolism pathways are identified, in addition to PhaC, which has been shown to increase PHA production when overexpressed. Overall, our pipeline demonstrates the potential of genome-scale metabolic models in combination with statistical approaches to obtain insights into the metabolism of H. elongata. Our platform can be exploited for researching environmental adaptation, and for designing and optimizing metabolic engineering strategies for bioproduct synthesis.

De novo biosynthesis of β-Arbutin in Komagataella phaffii based on metabolic engineering strategies

Backgroundβ-Arbutin, found in the leaves of bearberry, stands out as one of the globally acknowledged eco-friendly whitening additives in recent years. However, the natural abundance of β-Arbutin is low, and the cost-effectiveness of using chemical synthesis or plant extraction methods is low, which cannot meet the requirements. While modifying the β-Arbutin synthesis pathway of existing strains is a viable option, it is hindered by the limited synthesis capacity of these strains, which hinders further development and application.ResultsIn this study, we established a biosynthetic pathway in Komagataella phaffii for β-Arbutin production with a titer of 1.58 g/L. Through diverse metabolic strategies, including fusion protein construction, enhancing shikimate pathway flux, and augmenting precursor supplies (PEP, E4P, and UDPG), we significantly increased β-Arbutin titer to 4.32 g/L. Further optimization of methanol concentration in shake flasks led to a titer of 6.32 g/L titer after 120 h of fermentation, representing a fourfold increase over the initial titer. In fed-batch fermentation, strain UA3-10 set a record with the highest production to date, reaching 128.6 g/L in a 5 L fermenter.ConclusionsThis is the highest yield in the fermentation tank level of using microbial cell factories for de novo synthesis of β-Arbutin. Applying combinatorial engineering strategies has significantly improved the β-Arbutin yield in K. phaffii and is a promising approach for synthesizing functional products using a microbial cell factory. This study not only advances low-cost fermentation-based production of β-Arbutin but also establishes K. phaffii as a promising chassis cell for synthesizing other aromatic amino acid metabolites.Graphical abstract

Microbial production of levulinic acid from glucose by engineered Pseudomonas putida KT2440

Levulinic acid(LA) is produced through acid-catalyzed hydrolysis and dehydration of lignocellulosic biomass. It is a key platform chemical used as an intermediate in various industries including biofuels, cosmetics, pharmaceuticals, and polymers. Traditional LA production uses chemical conversion, which requires high temperatures and pressures, strong acids, and produces undesirable side reactions, repolymerization products, and waste problems Therefore, we designed an integrated process to produce LA from glucose through metabolic engineering of Pseudomonas putida KT2440. As a metabolic engineering strategy, codon optimized phospho-2-dehydro-3-deoxyheptonate aldolase (AroG), 3-dehydroshikimate dehydratase (AsbF), and acetoacetate decarboxylase (Adc) were introduced to express genes of the shikimate and β-ketoadipic acid pathways, and the 3-oxoadipate CoA-transferase (pcaIJ) gene was deleted to prevent loss of biosynthetic intermediates. To increase the accumulation of the produced LA, the lva operon encoding levulinyl-CoA synthetase (LvaE) was deleted resulting in the high LA-producing strain P. putida HP203. Culture conditions such as medium, temperature, glucose concentration, and nitrogen source were optimized, and under optimal conditions, P. putida HP203 strain biosynthesized 36.3 mM (4.2 g/L) LA from glucose in a fed-batch fermentation system. When lignocellulosic biomass hydrolysate was used as the substrate, this strain produced 7.31 mM of LA. This is the first report of microbial production of LA from glucose by P. putida. This study suggests the possibility of manipulating biosynthetic pathway to produce biological products from glucose for various applications.

Enhanced S-adenosyl-L-methionine synthesis in Saccharomyces cerevisiae using metabolic engineering strategies

S-adenosyl-L-methionine (SAM) plays pivotal roles in various physiological processes. With its increasing application in the treatment of diseases such as liver disease, depression, osteoarthritis and Alzheimer's, interest in SAM production aroused. Currently, Saccharomyces cerevisiae is the main industrial producer of SAM. With the surge in demand for SAM, improving the SAM biosynthesis is of importance. In this study, a multimodule engineering strategy was employed to improving SAM production: 1) Enhancing the gene expression of the sulfur assimilation pathway; 2) Strengthening the metabolic flux of the SAM synthesis pathway; 3) Weakening the SAM degradation pathway; 4) Increasing ATP supply. The resulting engineered mutant SC06 (S. cerevisiae CEN.PK2–1CΔgal80∷Tcyc1-sam2-Pgal1-Pgal10-met14-Tadh1, Δlsc2∷Tcyc1-hom6-Pgal1-Pgal10-met6-Tadh1, Δsah1Δmls1) displayed the highest SAM titer of 240.86 mg/L, which was 10.22-fold increase compared with the original strain. With optimized conditions, the SAM titer of mutant SC06 in shake flask fermentation reached 473.02 mg/L with a specific yield of 127.18 mg/g dry cell weight (DCW). In a 5 L fermenter with fed-batch fermentation, the maximal SAM yield of mutant SC06 reached 1.25 g/L with a specific yield of 166.67 mg/g DCW after 58 h cultivation. Therefore, the established metabolic engineering strategies displayed promising efficiency in improving the SAM productivity of S. cerevisiae CEN.PK2–1C, which may provide a useful tool for the improvement of SAM-producing strains.

Microbial degradation of contaminants of emerging concern: metabolic, genetic and omics insights for enhanced bioremediation.

The perpetual release of natural/synthetic pollutants into the environment poses major risks to ecological balance and human health. Amongst these, contaminants of emerging concern (CECs) are characterized by their recent introduction/detection in various niches, thereby causing significant hazards and necessitating their removal. Pharmaceuticals, plasticizers, cyanotoxins and emerging pesticides are major groups of CECs that are highly toxic and found to occur in various compartments of the biosphere. The sources of these compounds can be multipartite including industrial discharge, improper disposal, excretion of unmetabolized residues, eutrophication etc., while their fate and persistence are determined by factors such as physico-chemical properties, environmental conditions, biodegradability and hydrological factors. The resultant exposure of these compounds to microbiota has imposed a selection pressure and resulted in evolution of metabolic pathways for their biotransformation and/or utilization as sole source of carbon and energy. Such microbial degradation phenotype can be exploited to clean-up CECs from the environment, offering a cost-effective and eco-friendly alternative to abiotic methods of removal, thereby mitigating their toxicity. However, efficient bioprocess development for bioremediation strategies requires extensive understanding of individual components such as pathway gene clusters, proteins/enzymes, metabolites and associated regulatory mechanisms. "Omics" and "Meta-omics" techniques aid in providing crucial insights into the complex interactions and functions of these components as well as microbial community, enabling more effective and targeted bioremediation. Aside from natural isolates, metabolic engineering approaches employ the application of genetic engineering to enhance metabolic diversity and degradation rates. The integration of omics data will further aid in developing systemic-level bioremediation and metabolic engineering strategies, thereby optimising the clean-up process. This review describes bacterial catabolic pathways, genetics, and application of omics and metabolic engineering for bioremediation of four major groups of CECs: pharmaceuticals, plasticizers, cyanotoxins, and emerging pesticides.

Genome-Scale Metabolic Model Reconstruction and Investigation into the Fluxome of the Fast-Growing Cyanobacterium Synechococcus sp. PCC 11901.

The ability to convert atmospheric CO2 and light into biomass and value-added chemicals makes cyanobacteria a promising resource microbial host for biotechnological applications. A newly discovered fastest-growing cyanobacterial strain, Synechococcus sp. PCC 11901, has been reported to have the highest biomass accumulation rate, making it a preferred target host for producing renewable fuels, value-added biochemicals, and natural products. System-level knowledge of an organism is imperative to understand the metabolic potential of the strain, which can be attained by developing genome-scale metabolic models (GEMs). We present the first genome-scale metabolic model of Synechococcus sp. PCC 11901 (iRS840), which contains 840 genes, 1001 reactions, and 944 metabolites. The model has been optimized and validated under different trophic modes, i.e., autotrophic and mixotrophic, by conducting an in vivo growth experiment. The robustness of the metabolic network was evaluated by changing the biomass coefficient of the model, which showed a higher sensitivity toward pigments under the photoautotrophic condition, whereas under the heterotrophic condition, amino acids were found to be more influential. Furthermore, it was discovered that PCC 11901 synthesizes succinyl-CoA via succinic semialdehyde due to its imperfect TCA cycle. Subsequent flux balance analysis (FBA) revealed a quantum yield of 0.16 in silico, which is higher compared to that of PCC 6803. Under mixotrophic conditions (with glycerol and carbon dioxide), the flux through the Calvin cycle increased compared to autotrophic conditions. This model will be useful for gaining insights into the metabolic potential of PCC 11901 and developing effective metabolic engineering strategies for product development.

Recent Advances in the Biosynthesis of Mid- and Long-Chain Dicarboxylic Acids Using Terminally Oxidizing Unconventional Yeasts.

As high-performance monomers for the manufacture of polyamide materials, mid- and long-chain dicarboxylic acids (DCAi, i ≥ 6) have received extensive attention from researchers. Biosynthesis is gradually replacing chemical synthesis due to its outstanding advantages in the industrial production of mid- and long-chain dicarboxylic acids, which is mostly achieved by using the strong terminal oxidation ability of nonmodel microorganisms such as Candida tropicalis to oxidize hydrophobic substrates such as alkanes. Here, we first summarize the metabolic pathways of oxidative alkane conversion into dicarboxylic acid by terminally oxidizing unconventional yeasts and the corresponding metabolic engineering strategies. Then, we summarize the research progress on new dicarboxylic acid production processes. Finally, the future development directions in the biosynthesis of mid- and long-chain dicarboxylic acids are prospected from synthetic biology and bioprocess engineering, which can also provide a reference for the synthesis of other biobased chemicals and biomaterials.

Polyhydroxyalkanoate Production by Methanotrophs: Recent Updates and Perspectives.

Methanotrophs are bacteria that consume methane (CH4) as their sole carbon and energy source. These microorganisms play a crucial role in the carbon cycle by metabolizing CH4 (the greenhouse gas), into cellular biomass and carbon dioxide (CO2). Polyhydroxyalkanoates (PHAs) are biopolymers produced by various microorganisms, including methanotrophs. PHA production using methanotrophs is a promising strategy to address growing concerns regarding plastic pollution and the need for sustainable, biodegradable materials. Various factors, including nutrient availability, environmental conditions, and metabolic engineering strategies, influence methanotrophic production. Nutrient limitations, particularly those of nitrogen or phosphorus, enhance PHA production by methanotrophs. Metabolic engineering approaches, such as the overexpression of key enzymes involved in PHA biosynthesis or the disruption of competing pathways, can also enhance PHA yields by methanotrophs. Overall, PHA production by methanotrophs represents a sustainable and versatile approach for developing biomedical materials with numerous potential applications. Additionally, alternative feedstocks, such as industrial waste streams or byproducts can be explored to improve the economic feasibility of PHA production. This review briefly describes the potential of methanotrophs to produce PHAs, with recent updates and perspectives.

Systems biology of electrogenic Pseudomonas putida - multi-omics insights and metabolic engineering for enhanced 2-ketogluconate production

BackgroundPseudomonas putida KT2440 has emerged as a promising host for industrial bioproduction. However, its strictly aerobic nature limits the scope of applications. Remarkably, this microbe exhibits high bioconversion efficiency when cultured in an anoxic bio-electrochemical system (BES), where the anode serves as the terminal electron acceptor instead of oxygen. This environment facilitates the synthesis of commercially attractive chemicals, including 2-ketogluconate (2KG). To better understand this interesting electrogenic phenotype, we studied the BES-cultured strain on a systems level through multi-omics analysis. Inspired by our findings, we constructed novel mutants aimed at improving 2KG production.ResultsWhen incubated on glucose, P. putida KT2440 did not grow but produced significant amounts of 2KG, along with minor amounts of gluconate, acetate, pyruvate, succinate, and lactate. 13C tracer studies demonstrated that these products are partially derived from biomass carbon, involving proteins and lipids. Over time, the cells exhibited global changes on both the transcriptomic and proteomic levels, including the shutdown of translation and cell motility, likely to conserve energy. These adaptations enabled the cells to maintain significant metabolic activity for several weeks. Acetate formation was shown to contribute to energy supply. Mutants deficient in acetate production demonstrated superior 2KG production in terms of titer, yield, and productivity. The ∆aldBI ∆aldBII double deletion mutant performed best, accumulating 2KG at twice the rate of the wild type and with an increased yield (0.96 mol/mol).ConclusionsBy integrating transcriptomic, proteomic, and metabolomic analyses, this work provides the first systems biology insight into the electrogenic phenotype of P. putida KT2440. Adaptation to anoxic-electrogenic conditions involved coordinated changes in energy metabolism, enabling cells to sustain metabolic activity for extended periods. The metabolically engineered mutants are promising for enhanced 2KG production under these conditions. The attenuation of acetate synthesis represents the first systems biology-informed metabolic engineering strategy for enhanced 2KG production in P. putida. This non-growth anoxic-electrogenic mode expands our understanding of the interplay between growth, glucose phosphorylation, and glucose oxidation into gluconate and 2KG in P. putida.

Metabolic engineering of the oleaginous yeast Yarrowia lipolytica for 2-phenylethanol overproduction

The rose fragrance molecule 2-phenylethanol (2-PE) has huge market demand in the cosmetics, food and pharmaceutical industries. However, current 2-PE synthesis methods do not meet the efficiency market requirement. In this study, CRISPR-Cas9-related metabolic engineering strategies were applied to Yarrowia lipolytica for the de novo biosynthesis of 2-PE. Initially, overexpressing exogenous feedback-resistant EcAROGfbr and EcPheAfbr increased 2-PE production to 276.3 mg/L. Subsequently, the ylARO10 and ylPAR4 from endogenous genes were enhanced with the multi-copies to increase the titer to 605 mg/L. Knockout of ylTYR1 and enhancement of shikimate pathway by removing the precursor metabolic bottleneck and overexpressing the genes ylTKT, ylARO1, and ylPHA2 resulted in a significant increase of the 2-PE titer to 2.4 g/L at 84 h, with the yield of 0.06 g/gglu, which is the highest yield for de novo synthesis in yeast. This study provides a valuable precedent for the efficient biosynthesis of shikimate pathway derivatives.

Microbial Squalene: A Sustainable Alternative for the Cosmetics and Pharmaceutical Industry - A Review.

Squalene is a natural triterpenoid and a biosynthetic precursor of steroids and hopanoids in microorganisms, plants, humans, and other animals. Squalene has exceptional properties, such as its antioxidant activity, a high penetrability of the skin, and the ability to trigger the immune system, promoting its application in the cosmetic, sustenance, and pharmaceutical industries. Because sharks are the primary source of squalene, there is a need to identify low-cost, environment friendly, and sustainable alternatives for producing squalene commercially. This shift has prompted scientists to apply biotechnological advances to research microorganisms for synthesizing squalene. This review summarizes recent metabolic and bioprocess engineering strategies in various microorganisms for the biotechnological production of this valuable molecule.

Multi-omics data and model integration reveal the main mechanisms associated with respiro-fermentative metabolism and ethanol stress responses in Kluyveromyces marxianus

Kluyveromyces marxianus is a yeast capable of fermenting sugars into ethanol and growing at high temperatures (>37ºC). However, it is less tolerant to ethanol than Saccharomyces cerevisiae, which limits its application in second-generation ethanol production. Since the mechanisms of ethanol stress response are still poorly described, especially compared to S. cerevisiae, we used an integrative multi-omics approach, combining transcriptomics, co-expression networks, gene regulation, and genome-scale metabolic modelling to gain insights about these mechanisms. Through metabolic modelling, we predicted the occurrence of a respiro-fermentative metabolism and its onset as the dilution rate increased. From gene co-expression networks, we detected that the protein quality control system is a main mechanism involved in the ethanol stress response. Further, we identified key regulators in the ethanol stress response, such as HAP3, MET4, and SNF2, and assessed how disturbances in their gene expression affect cellular metabolism. We also found that amino acid metabolism, membrane lipid metabolism, and ergosterol exhibit increased metabolic flux under the explored conditions, along with usage of enzymes related to these pathways. These findings provide useful cues to develop and implement genetic and metabolic engineering strategies to enhance ethanol tolerance and point for future research in stress responses of K. marxianus.

Metabolic engineering improves transduction efficiency and downstream vector isolation by altering the lipid composition of extracellular vesicle-enclosed AAV.

Adeno-associated viruses (AAV) are promising vectors for gene therapy due to their efficacy in vivo. However, there is room for improvement to address key limitations such as the pre-existing immunity to AAV in patients, high-dose toxicity, and relatively low efficiency for some cell types. This study introduces a metabolic engineering approach, using knockout of the enzyme phosphatidylserine synthase 1 (PTDSS1) to increase the abundance of extracellular vesicle-enclosed AAV (EV-AAV) relative to free AAV in the supernatant of producer cells, simplifying downstream purification processes. The lipid-engineered HEK293T-ΔPTDSS1 cell line achieved a 42.7-fold enrichment of EV-AAV9 compared to free AAV9 in the supernatant. The rational genetic strategy also led to a 300-fold decrease of free AAV in supernatant compared to wild-type HEK293T. The membrane-engineered EV-AAV9 (mEV-AAV9) showed unique envelope composition alterations, including cholesterol enrichment and improved transduction efficiency in human AC16 cardiomyocytes by 1.5-fold compared to conventional EV-AAV9 and by 11-fold compared to non-enveloped AAV9. Robust in-vivo transduction four weeks after intraparenchymal administration of mEV-AAV9 was observed in the murine brain. This study shows promise in the potential of lipid metabolic engineering strategies to improve the efficiency and process development of enveloped gene delivery vectors. Keywords: membrane engineering, EV-AAV, upstream, downstream.