Metabolic Engineering

13C-metabolic flux analysis (13C-MFA) is a crucial technique that experimentally determines metabolic flux distribution. Although precision of each flux strongly depends on tracer labeling pattern, its optimization remains challenging. We developed an integrated platform, OpenMebius2, a graphical user interface (GUI)-based software for 13C-MFA that includes a tracer labeling pattern suggestion function to support subsequent experiments. The proposed function leverages metabolic flux distributions and their 95 % confidence intervals obtained using low-cost 13C-labeled substrates to evaluate hypothetical parallel labeling scenarios and predict improvements in flux estimation precision. Availability and implementationThis software runs on Linux, macOS, and Windows. The source code and binary files are available at https://github.com/metabolic-engineering/OpenMebius2 under the PolyForm Noncommercial License 1.0.0.

BackgroundIn response to rising CO2 emissions driving global warming, there is an urgent need for a transition toward a sustainable bioeconomy. Photo-biotechnological processes based on oxygenic photosynthesis hold high potential for achieving CO2 neutrality and in this regard, cyanobacteria have emerged as promising biocatalysts. Rational metabolic engineering of cyanobacteria depends on a thorough understanding of native regulatory mechanisms governing primary metabolism, which can limit metabolic flux through specific pathways and, consequently, the formation of target products. Recent insights have identified a key regulatory node at the 2,3-bisphosphogylcerate-independent phosphoglycerate mutase (PGAM) reaction, where the metabolic flux from newly fixed carbon is redirected from the Calvin-Benson-Bassham (CBB) cycle towards lower glycolysis. This metabolic valve is controlled by the small inhibitor protein PirC, whose binding to PGAM is determined by the central signal transduction protein PII. ResultsIn this study, we exploit the PirC-PGAM interaction as a novel target for regulatory metabolic engineering in the model cyanobacterium Synechocystis sp. PCC 6803 (Synechocystis). Chassis strains with engineered control of PGAM, defined as PGAM-ON or PGAM-OFF states, were generated using two complementary approaches: tuning pgam gene expression and modulating PirC abundance to regulate PGAM activity. The effectiveness of this regulatory engineering strategy was demonstrated by redirecting carbon flux toward two representative, naturally occurring products: sucrose, produced via gluconeogenesis fueled by the Calvin-Benson-Bassham (CBB) cycle, and succinate, an intermediate of the tricarboxylic acid (TCA) cycle. Narrowing the PGAM valve resulted in a threefold increase in sucrose accumulation. In contrast, opening the PGAM valve by relieving PGAM inhibition through pirC deletion or separate pgam overexpression resulted in up to an 18-fold increase in succinate excretion. Furthermore, similar genetic configurations were applied to enhance production of a heterologous compound, isoprene, derived from pyruvate. ConclusionsThis study establishes the PGAM valve as a tunable control point for the rational re-direction of carbon flux in Synechocystis and highlights small regulatory proteins as powerful targets for metabolic engineering. Together, these findings provide proof of concept for an advanced level of molecular engineering in cyanobacteria and to fully harness their biocatalytic potential in future photosynthesis-driven biotechnological applications.

Lignin-derived aromatics are abundant in depolymerized lignin but remain remain untilized as carbon sources for commercial production of bulk chemicals. Among these aromatics, p-coumaric acid can be funnelled through the {beta}-ketoadipate pathway toward cis,cis-muconic acid (ccMA), a precursor of bio-based adipic and terephthalic acids. However, efficient ccMA production by Acinetobacter baylyi ADP1 is constrained by toxicity of catechol (the immediate precursor of ccMA), inefficient channelling of protocatechuate (PCA) metabolism towards ccMA production, and absence of PCA decarboxylase for converting PCA to catechol. Therefore, in this study, we engineered a modular co-culture system, combining engineered strains of A. baylyi and E. coli, for ccMA production from synthetic p-coumaric acid. Deletion of catB and catC genes and overexpression of catA in A. baylyi GJS_catA strain enabled near-stoichiometric conversion of catechol to ccMA ([~]90% carbon yield) with titres up to 56.4 mM ([~] 8 g/L) under controlled fed-batch feeding. The strain was further engineered (A. baylyi GJS2_catA) to convert p-coumaric acid to PCA. Due to the inactivity of heterologous PCA decarboxylase (aroY gene) in A. baylyi, this gene was incorporated in E. coli where it exhibited activity through PCA to catechol conversion. Upon its production by E.coli_aroY in the co-culture, catechol is instantaneously converted to ccMA by A. baylyi GJS2_catA strain. In a two-step process, 22 mM p-coumaric acid was initially converted to 20.6 mM PCA (A. baylyi GJS2_catA), which was further converted to catechol (E.coli_aroY) and finally to 18.55 mM ccMA (2.63 g L-{superscript 1}) by A. baylyi GJS2_catA. This process was validated by the valorization of lignin-derived p-coumaric acid to ccMA. While the modular strategy developed in this study substantially improves ccMA titres, it also highlights the bottlenecks in A. baylyi metabolic pathway engineering for lignin valorization. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=147 SRC="FIGDIR/small/709578v1_ufig1.gif" ALT="Figure 1"> View larger version (28K): org.highwire.dtl.DTLVardef@a83daborg.highwire.dtl.DTLVardef@168c6b6org.highwire.dtl.DTLVardef@1ce0abdorg.highwire.dtl.DTLVardef@23200b_HPS_FORMAT_FIGEXP M_FIG C_FIG

Enzymatic synthesis of rare disaccharides by reverse-phosphorolysis is a potentially sustainable route to produce high-value glycosides for human health and nutrition. We report the metabolic engineering of Escherichia coli for in vivo production of {beta}-mannobiose with different osidic linkages from hexose sugars. We demonstrate production of {beta}-1,2-mannobiose with this approach as proof of concept. Phosphotransferase system (PTS) inactivation enables import of non-phosphorylated mannose via heterologous permease GalP, restoring growth on mannose in a PTS- background and allowing mannose into the reverse biosynthetic pathway. Deletion of pfkA, which promotes intracellular accumulation of key sugar phosphates (G1P, M1P), establishes a favorable metabolic chassis for oligosaccharide production using glycoside-phosphorylases. Using this chassis, we expressed two {beta}-mannoside phosphorylases to enable the direct production of {beta}-1,2- and {beta}-1,4-mannobiose from mannose. The same chassis was also employed for laminaribiose production through the expression of a laminaribiose-phosphorylase. pfkA deletion significantly increased product titer (> 0.6 g{middle dot}L-1) and yield (up to 9% g/g mannose), highlighting a favorable redistribution of carbon fluxes toward disaccharide formation. Moreover, a combination of mixed-substrate cultures using glycerol as carbon and energy source and further metabolic engineering enabled partial growth-production decoupling, redirecting mannose utilization primarily toward product synthesis, with a yield of 60%. These results demonstrate the modularity and efficiency of the proposed platform for fermentative production of non-conventional oligosaccharides and expand the scope of metabolic engineering strategies for glycoside biosynthesis.

The thermoacidophilic red alga Cyanidioschyzon merolae represents one of the simplest photosynthetic eukaryotes and an ancient divergent group in the primary endosymbiotic Viridiplantae. Because of its [~]16 Mbp genome, containing few introns, and capacity for transgene integration by homologous recombination, it is an emerging chassis for synthetic biology. However, genomic integration sites and scalable transformation methods have not been established to systematically investigate the effect of genome position on transgene expression. Here, we combined bioinformatic genome analysis, liquid-handling robotics, and assays of heterologous protein and metabolite production to establish a reproducible framework for nuclear genome engineering in C. merolae. We mapped and annotated 40 intergenic loci as candidate neutral sites across 16 out of 20 chromosomes and could validate 38 of them through robotic-assisted transformation. Reporter gene expression analysis revealed highly uniform expression at all integration sites across broad populations of transformants, indicating surprising minimal positional effects and transcriptional neutrality. The functional equivalence of these genomic landing pads was determined by expression of a heterologous isoprene synthase, and coupling algal photobioreactors to headspace analysis to quantify isoprene production driven by transgene expression from different integration sites. Single copy transgene integrants, regardless of genome position, exhibited comparable reporter signals and consequent isoprene production. Together, these results provide the first experimentally validated set of neutral integration sites in C. merolae and establish a high-throughput transformation protocol for its genetic engineering in the context of synthetic genome biology.

In this study, we employ a two-stage dynamic metabolic control strategy to enhance the NADPH dependent biosynthesis of ethylene glycol from xylose in engineered E. coli. We evaluated the use of metabolic valves to dynamically reduce the enzymes involved in competitive pathways which compete for substrates with ethylene glycol biosynthesis, as well as regulatory pathways aimed at increasing NADPH fluxes. The performance of our initial strains with limits in pathway expression levels was improved by the addition of competitive valves, but not by increases in NADPH flux. In contrast, improving pathway expression levels, led to strains improved significantly by our regulatory valves which improved NADPH flux, but not by the competitive valves. This is consistent with a central hypothesis that faster pathways in and of themselves can compete with other metabolic fluxes by being faster and are better aided by regulatory changes capable of change rates elsewhere in metabolism. In this case in NADPH flux. Lastly, upon scale up to fed-batch bioreactors, our optimized strain, featuring dynamic control of two regulatory valves produced 140 g/L of EG in 70 hours at 92% of the theoretical yield.

Process optimization for Chinese hamster ovary (CHO) cell culture remains a challenge in biopharmaceutical development because multiple interacting parameters jointly influence productivity and product quality attributes. Traditional design-of-experiments (DoE) methods, while systematic, become impractically expensive when extended across multiple parameters and clones. To address this challenge, we developed a multi-objective Bayesian Optimization (BO) framework that identifies optimal process conditions efficiently in grouped recommendations, which is well suited for experimental workflows in bioprocess development. The model integrates continuous variables such as pH, DO, temperature, and feed rate with categorical identifiers to enable knowledge transfer across clones and scales, optimizing titer, glycan profile, and charge variants. We validated the framework through in-silico benchmarks on analytic functions, retrospective cross-validation on historical CHO datasets, and forward experimental validation in small-scale bioreactors. Across these tests, our algorithm consistently outperformed Latin Hypercube Sampling (LHS) and Random Search baselines, achieving superior performance under a limited experimental budget. The framework improved titer by up to 37% under single-objective optimization. In the multi-objective setting, it increased titer by 25% while simultaneously reducing overall glycan-profile error by a factor of seven, demonstrating the ability to optimize multiple biologically coupled objectives simultaneously. Through comprehensive in-silico and experimental validation, this study establishes a framework that enables adaptive, AI-guided process development and improves decision-making across multiple objectives, clones, and scales while minimizing experimental runs in process development and optimization workflows.

Acetogens are promising microbes for sustainable biomanufacturing but improving acetogen gas fermentation requires efficient conversion of CO and CO2 into fuels and chemicals. Carbon monoxide dehydrogenase (CODH) enzymes couple carbon fixation to energy conservation in acetogens and serve as potential regulatory modules for tuning autotrophic metabolism. Intriguingly, the model-acetogen Clostridium autoethanogenum lost its unique truncation in the bifunctional CODH (acsA), essential for autotrophy, during autotrophic adaptive laboratory evolution while obtaining superior phenotypes. Additionally, protein expression of the monofunctional CODH cooS1 is high and conditionally-regulated in C. autoethanogenum. Here, we genetically engineered CODHs in C. autoethanogenum by replacing the stop codon in acsA with leucine (strain Leu_SNP) or serine (Ser_SNP), and deleting cooS1 ({Delta}cooS1). Phenotyping in autotrophic batch and chemostat cultures revealed altered growth profiles and significant redistribution of carbon and redox flows in SNP strains, whereas {Delta}cooS1 showed moderate and condition-dependent effects. Surprisingly, structural modelling identified no conformational differences between wild-type and mutant AcsA proteins. While transcriptomics showed limited transcriptional changes in {Delta}cooS1, it suggested potential transcriptional adjustments linked to reduced robustness and altered product profile of Leu_SNP. Our results demonstrate the impact of CODHs on autotrophy and offer targets for rational engineering of acetogen cell factories.

Pseudomonas putida KT2440, renowned for its diverse metabolic capabilities, is a promising platform for downstream processing and revalorization of recalcitrant molecules. In this study, we examined and optimized P. putida KT2440s ability to utilize long-chain alcohols. These molecules are byproducts of the degradation of polyethylene (PE), the most widely used plastic. Using them as feedstock for microbial growth would close the plastic-derived carbon cycle, reducing environmental pollution. First, we discovered that P. putida KT2440 can use long-chain alcohols as the sole carbon and energy source. Using adaptive laboratory evolution (ALE), we generated variants with improved growth rates on long-chain alcohols, specifically 1-hexadecanol and 1-eicosanol. Mutations that became fixed during ALE provided insights into the mechanism, highlighting the importance of cell-substrate interaction. By heterologously expressing a hydrocarbon transporter-encoding gene, we successfully reproduced the ALE-derived phenotype, demonstrating that the bottleneck in long-chain alcohol utilization is not substrate transformation but uptake. These findings lay the groundwork for the potential application of P. putida KT2440 for the degradation of PE.

Biomass separation represents a critical bottleneck in Komagataella phaffii-based biopharmaceutical processes, as typically high cell densities of 40 - 50 % create significant operational, technical and economic challenges for harvest operations. Yeast cell aggregation (flocculation) provides a solution to accelerate cell sedimentation by increasing particle size, thus allowing to improve biomass-supernatant separation efficiency during both natural gravity settling and (continuous) centrifugation operations. This study demonstrates successful engineering of K. phaffii strains with an inducible flocculation phenotype using CRISPR/Cas9-based genome editing to integrate the Saccharomyces cerevisiae FLO1 (ScFLO1) gene under control of various regulatory elements, including methanol-inducible and derepressible promoters. Flocculation strength could be enhanced by implementing transcriptional positive feedback circuits based on the methanol-inducible AOX1 promoter. To address methanol-free production requirements, we developed alternative systems to retrofit PAOX1-based ScFLO1 expression and exploited the derepressible PDF promoter, offering broader compatibility with biopharmaceutical manufacturing facilities. Flocculating cells cultivated in a bioreactor demonstrated significantly improved sedimentation behavior, with considerably lower supernatant turbidity after short low-speed centrifugation compared to non-flocculating controls. Crucially, cell flocculation had no negative impact on product amount and quality when expressing a multivalent NANOBODY(R) VHH molecule with pharmaceutical relevance. Thus, this work establishes the first genetically engineered flocculation system in K. phaffii compatible with recombinant protein production, providing the basis for an innovative approach to streamline harvest operations in biopharmaceutical processes.

Our increasing global population combined with the UN Sustainable Development Goals of zero hunger and good health require greater protein intake per capita and higher protein production. Consequently, sustainable food alternatives such as cultivated meat (CM) are urgently required. However, large-scale CM cell-systems face key challenges, particularly high media costs driven by amino acids and the need for ethically-sourced growth factors. Microalgae offer promising solutions, producing high protein yields with all essential amino acids simply from light, CO2, water and nutrients or spent CM media. Here we present Chlorella BDH-1 grown in spent CM media waste as a substitute-source for reduced amino acids and fetal bovine serum in cell culture media, enabling a circular strategy through beneficial mammalian cell-algae co-cultivation. We identified optimal algal growth conditions for maximum protein yield and demonstrated that two recycling rounds using industry-derived spent CM media maximize microalgal biomass yield per unit volume of waste media. We obtained algal lysate, determined thermal processing as the most cost-effective and mammalian cell-beneficial approach, and identified consumed lysate components. Compared to standard media, our lysate increased mammalian cell proliferation over 2-fold in reduced serum and amino acid conditions, replacing costly cell media components. We finally closed the loop by demonstrating a synergistic effect of the algal lysate with our co-cultivation - which co-produces algal biomass. The combination boosted mammalian cell proliferation 1.45-fold, conservatively estimating a media cost reduction by [~]66%. These findings establish parameters to advance the field towards cost-effective sustainable circular cell culture systems with applications in CM production and other biotechnology fields requiring large-scale tissue culture. Technology Readiness:

Combinatorial DNA design and assembly is an efficient and pragmatic way to obtain high-performing metabolic pathway designs quickly. However, implementation may require organism-specific technical barriers to be overcome. Firstly, suitable expression control parts such as promoters and ribosome-binding sites (RBSs) which provide a suitable range of expression levels need to be identified or developed. Secondly, these need to be assembled into pathway-encoding combinatorial libraries of sufficient size, quality and diversity. For organisms with transformation frequencies too low to allow direct transformation of library assembly reactions, such as many Clostridium spp., assembly and amplification is typically carried out using Escherichia coli. However, if constructs are deleterious (or burdensome) to E. coli, which is often the case when using Clostridium genetic parts, poor libraries may be obtained. Here we develop a new approach called integration-coupled activation of promoterless sequences (ICAPS) to overcome this barrier and therefore enable combinatorial assembly in Clostridium. Libraries were designed and assembled as promoterless synthetic operons, preventing expression during DNA assembly, and expression was only activated later, when constructs were integrated into the host genome downstream of a promoter. Variation of expression levels was achieved using a range of context-resistant RBS sequences. This approach was used to produce a Clostridium acetobutylicum library with combinatorial expression variants of an introduced hexanol pathway. This proof of concept provides a generally-applicable approach to implement combinatorial metabolic pathway-encoding libraries in Clostridium spp., circumventing the excessive strength of Clostridium expression control parts in E. coli, and is applicable to other organisms.

Technologies developed over the past decade have made Saccharomyces cerevisiae a promising platform for producing various natural products. Balancing multi-enzyme expression, while maintaining robust microbial growth, remains a limiting factor for engineering long biosynthetic pathways in yeast. Here, we improved the transcriptional capacity of our previously developed isopropyl {beta}-D-1-thiogalactopyranoside (IPTG)-inducible synthetic transcription factors (synTFs) derived from the plant JUB1 DNA-binding domain. To this end, at cysteine positions within surface-exposed loop regions of a JUB1-derived DNA-binding scaffold, we introduced a short peptide to enhance loop flexibility while providing local stability and orientation. The generated synTFs, so-called JUB1-X synTFs, varying in strength, have been successfully used to improve the synthesis of 3-phosphoadenosine 5-phosphosulfate (PAPS), a universal sulfate donor necessary for the synthesis of bioactive molecules, including therapeutic glycosaminoglycans and sulfolipids. Using only this engineered yeast strain in simple batch culture, PAPS accumulation of 21.4 {+/-} 5.8 mg g-1 cdw was achieved after only 5 hours of inducing the expression of JUB1-X synTFs. Beyond PAPS production, the design principle demonstrated here provides a generalizable strategy to fine-tune other plant-derived synTFs, expanding the regulatory capabilities of existing synTF collections. Together, this work offers a modular, scalable approach to constructing high-performance gene circuits and supports the development of yeast cell factories for complex metabolic and synthetic biology applications.

Efficient co-utilization of hexose and pentose sugars from lignocellulose is essential for microbial production of bio-based chemicals, yet engineered non-native catabolic pathways can be suboptimal and evolutionarily unstable in complex resource environments. We used a Pseudomonas putida strain, previously engineered to catabolize xylose and arabinose to examine how resource abundance, temporal availability, and sub-culturing criteria shape evolutionary outcomes. Using an automated adaptive laboratory evolution (ALE) platform, we evolved the strain under static conditions with single selection pressures and dynamic regimes that imposed selection pressures on multiple sugars. These environments drove divergence between catabolic specialists and generalists. While selection regimes with weak or absent selection for xylose frequently resulted in loss of xylose catabolism, evolution under carbon-limited, mixed-sugar environments promoted stable retention and coordinated optimization of multiple catabolic pathways, increasing total sugar consumption in mixed-sugar conditions. Genomic, proteomic, and biochemical analyses showed that evolutionary stability was determined by pathway-specific fitness costs, leading to either pathway loss or cost-reducing refinement, depending on selection strength. An isolated generalist clone also exhibited improved indigoidine production from mixed sugars when compared to the parental strain. Together, these findings link resource dynamics to fitness landscapes that determine catabolic specialization, generalization, evolutionary trade-offs, and applicability to bioconversion.

Enabling heterotrophic Escherichia coli to use CO2 as its only carbon source remains a great challenge, and previous studies approached autotrophy conversion by metabolic engineering. Although its native carbon fixation routes were identified, the potential to reach autotrophy by itself has long been overlooked. In this study, autotrophy in E. coli was developed through adaptive laboratory evolution. After 1,000 days of consecutive inorganic subculturing, missense mutations were found in isocitrate dehydrogenase icd and isocitrate dehydrogenase kinase/phosphatase aceK genes, determining the metabolic switch between the citrate cycle and the glyoxylate shunt. By transcriptomic comparison of the adapted E. coli between inorganic and organic cultivations, two CO2 fixing enzymes activated in autotrophic mode were found, including the upregulated pyruvate:ferredoxin oxidoreductase YdbK and phosphoenolpyruvate carboxykinase Pck. Connected by the upregulated phosphoenolpyruvate synthase PpsA, a carbon fixation module was constituted, which was the shared foundation of the aspartate-threonine cycle and the citrate-glyoxylate-methylcitrate cycle, and thus integrating into an autotrophic network. By comparing the 13C enrichment patterns in inorganic cultivations between the adapted and initial E. coli, the favorable direction of the autotrophic network was confirmed. IMPORTANCEThis is the first study to accomplish autotrophy in E. coli through long-term evolution alone. Besides missense mutations in icd and aceK genes, adapted E. coli also actively regulated its gene expression to respond to inorganic environment, such as directing the metabolic switch towards the glyoxylate shunt. For biomass formation, a carbon fixation module consisted of the upregulated YdbK, PpsA, and Pck produced pyruvate and oxaloacetate as precursors for two cycles. The aspartate-threonine cycle with a replenishment side loop further accumulated these precursors, and the citrate-glyoxylate-methylcitrate cycle was driven by four overexpressed enzymes to catalyze six reactions. These metabolic pathways were integrated into a novel autotrophic network, and by understanding the nature of E. coli, rational designs for its carbon fixation optimization become attainable by using compatible mechanisms.

Stachys affinis (Chinese artichoke) tubers contain 50-80% stachyose by dry weight, the most concentrated dietary source of raffinose-family oligosaccharides (RFOs) known. Because humans lack sufficient -galactosidase activity, stachyose transits intact to the colon where microbial fermentation yields short-chain fatty acids (SCFAs). However, the quantitative impact of stachyose-derived SCFAs on host hepatic energy metabolism has not been systematically explored using genome-scale metabolic models. Three stachyose dose scenarios (Low/Mid/High: [~]25, 50, 100 g fresh tubers) were translated to SCFA availability vectors. Hepatic metabolic responses were simulated using Recon3D (10,600 reactions) and Human-GEM (13,417 reactions) under strict hepatocyte-like media, maximizing ATP maintenance flux (ATPM). FVA across multiple optimality thresholds (90-100%) and pFBA confirmed solution robustness. One-at-a-time sensitivity analysis characterized ATPM responses to individual parameter perturbations, and a ratio sensitivity sweep across six alternative SCFA profiles assessed dependence on assumed fermentation ratios. A targeted rescue experiment addressed model-specific propionate catabolism gaps. Both models showed dose-dependent ATPM increases (Recon3D: +71 to +286%; Human-GEM: +103 to +413% above baseline), with the 19-33% inter-model gap attributable entirely to Human-GEMs functional propionate catabolism pathway. FVA confirmed near-unique optimal solutions (ATPM ranges [~]1% at 99% optimality, widening to [~]10% at 90%). Parsimonious FBA preserved identical ATPM values while reducing total flux by [~]4-14%, confirming objective robustness. SCFA ratio sensitivity across six alternative profiles showed 27- 28% ATPM variation, indicating qualitative robustness. Butyrate yielded the highest ATP per mole ([~]22) in both models; propionate sensitivity was zero in Recon3D but [~]15.25 mmol ATPM/mmol propionate in Human-GEM. Reopening propionyl-CoA carboxylase (PPCOACm) in Recon3D under strict constraints converged ATPM to within 0.3-0.7% of Human-GEM, cross-validating both reconstructions. This reproducible dual-model pipeline identifies model-specific pathway gaps and provides cross-validated predictions to guide future experimental studies of how dietary SCFAs influence hepatic ATP metabolism.

De novo metabolic pathways open possibilities for sustainable biotransformations in microbes. However, the in vivo-implementation of such new-to-nature pathways is highly challenging and heavily relies on adaptive laboratory evolution (ALE) of the hosts native metabolic network. Here, we assess how much this need for host-centric ALE can be overcome and/or complemented through the informed design of the newly introduced pathway. Exemplifying for a synthetic CO2-fixation module via methyl-succinate, we established methylsuccinate-dependent growth of Escherichia coli over six months by ALE of E. colis native metabolism. In parallel, we developed a machine-learning guided workflow (MEVIS) for the automated engineering of the synthetic pathway, resulting in methylsuccinate-dependent growth within three weeks. Critically, performing MEVIS in the background of the ALE-evolved strain is necessary to further approach wild-type like growth, demonstrating how ALE in combination with machine-learning-guided lab automation holds great potential to accelerate and improve design-build-test-learn cycles in contemporary metabolic engineering.

This article presents the development of an advanced modeling and simulation platform for carbon capture systems, with a focus on integrated process analysis from upstream CO2 capture through to bioethanol production. The platform supports the evaluation of CO2 mitigation technology by coupling mathematical bioprocess models with an interactive desktop application. The biological system employs Chlorella vulgaris microalgae to fix CO2 through photosynthesis and generate carbohydrate substrates, which are subsequently converted to bioethanol by Saccharomyces cerevisiae yeast via fermentation. The simulation integrates three established kinetic models--the Monod, Logistic, and Luedeking-Piret models--to predict biomass growth, substrate consumption, and ethanol yield under varying operational conditions. A closed-loop CO2 recycling subsystem captures fermentation off-gases and reintroduces them into the bioreactor, enhancing overall carbon utilization efficiency. Three representative simulation scenarios demonstrated process efficiencies ranging from 1.09% to 93.78% of the theoretical maximum CO2-to-ethanol conversion efficiency, confirming the platforms capacity to evaluate a wide operational envelope. The Electron/React-based desktop application provides real-time visualization, interactive 3D bioreactor models, and a simulation history module, making it accessible to researchers, engineers, and students. The platform serves as a digital twin that bridges rigorous bioprocess mathematics with intuitive user interaction, providing a cost-effective tool for designing and optimizing sustainable carbon capture and biofuel production systems.

Industrial defossilisation requires carbon-negative routes for sustainable chemical production. Bioprocesses based on renewable feedstocks are often constrained by biogenic CO2 emissions, reducing yields and undermining environmental performance. Here, we report a mixotrophic gas fermentation strategy using the chemolithoautotroph Cupriavidus necator H16 that simultaneously assimilates CO2 for cell growth and biocatalyst generation while converting the PET monomer terephthalic acid (TPA) into value-added biopolymer precursors. This process achieved complete conversion of TPA to 2-pyrone-4,6-dicarboxylic acid (PDC) with titres of 24.5 g/L and a productivity of 0.47 g/L{middle dot}h. Conversion to pyridine dicarboxylic acids (2,4- and 2,5-PDCA) was less efficient ([~]22% and [~]4% respectively) due to metabolic limitations such as intermediate toxicity, pH and ammonia-dependent spontaneous cyclisation. Our results establish the first carbon-negative route coupling simultaneous CO2 assimilation with plastic monomer valorisation, providing a blueprint for sustainable biomanufacturing aligned with global climate and circular economy goals.

Crude glycerol is an underutilized waste stream. Viable routes for converting it to 1,3-propanediol (1,3-PDO) can conserve important resources and add value to its supply chain. Biological methods are appealing because they can circumvent expensive preprocessing steps while operating under mild conditions. Here, we show that the propanediol utilization pathway of Salmonella enterica serovar Typhimurium LT2 can be used to convert glycerol, including unprocessed crude glycerol, into 1,3-PDO under aerobic conditions in minimal media. Additionally, we demonstrate that high concentrations of expensive cofactors are not necessary to achieve optimal production titers. This study lays the groundwork for continual iteration on this pathway for bioprocess development. Key pointsO_LIS. enterica can produce 1,3-propanediol from crude glycerol alone C_LIO_LIGlycerol-to-1,3-propanediol conversion is dependent on expression of the propanediol utilization (Pdu) pathway C_LIO_LISub-saturating concentrations of exogenous vitamin B12 can boost cell growth and 1,3-propanediol yield C_LI