Biology subjects

Claassens, N. J.

Publications and source records attributed to Claassens, N. J..

At least 19 recordsLinked to original sources

bioRxiv2026

A rapid HPLC-based method to determine NAD(P)(H) and NMN redox cofactor concentrations and ratios in microbes

Redox cofactors are a key part of cellular physiology as they are involved in most metabolic pathways, and their ratios are linked to cellular robustness. However, measuring their levels in cells remains a challenge. Here, we describe a novel method to rapidly measure NAD(H), NADP(H) and nicotinamide mononucleotide (NMN) levels and their oxidized/reduced ratios using an HPLC connected to a fluorescence detector. By extensively characterizing this method and benchmarking it against the classical iodonitrotetrazolium (INT) assay, we show that this method results in accurate and reproducible measurements of NAD+, NADP+ and NMN levels in bacteria. We further demonstrate that this method can be used to determine intracellular NADH and NADPH concentrations and ratios of nicotinamide nucleotide cofactors in engineered Escherichia coli strains, as well as other bacterial species such as Pseudomonas putida.

biochemistry↗

bioRxiv2026

Systematic engineering and machine learning analysis of intrinsic terminators reveal crucial nucleotides directly upstream of the terminator hairpin.

Transcriptional termination efficiency is considered an important parameter for finetuning bacterial gene expression. Still, the design principles that determine transcription termination efficiency remain poorly understood. In this study, we aimed to investigate the impact of the 3 untranslated region (3UTR) on gene expression in Escherichia coli and other bacteria. First, 3UTR variant sequences were generated, with randomized 30 bp sequences inserted between the STOP-codon and an intrinsic terminator, consisting of a GC-rich hairpin and a downstream poly(U)-tail. Using three reporter genes, it was found that different 3UTR sequences resulted in an up to five-fold difference in protein production, independent of the upstream coding sequence. The highest protein production was achieved when an adenosine was present directly upstream of the terminator hairpin. This was consolidated by systematic substitution of key nucleotides of the terminator and assessing their effect on mRNA and protein levels. Subsequently, we developed a predictive random forest machine learning model trained on the termination efficiency of different natural and synthetic terminator sequences, revealing an important role for the nucleotides directly upstream of the terminator hairpin. Altogether, this study showed that an additional adenosine nucleotide upstream of the terminator hairpin leads to improved protein production while reducing terminator read-through. GRAPHICAL ABSTRACT O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=74 SRC="FIGDIR/small/736697v1_ufig1.gif" ALT="Figure 1"> View larger version (11K): org.highwire.dtl.DTLVardef@d8a976org.highwire.dtl.DTLVardef@5d8269org.highwire.dtl.DTLVardef@11cc3e3org.highwire.dtl.DTLVardef@180a305_HPS_FORMAT_FIGEXP M_FIG C_FIG

molecular biology↗

bioRxiv2026

Establishment of titration-based control of DNA replication in Escherichia coli

Escherichia coli couples the initiation of DNA replication with cell size by modulating the activity of the replication initiator protein DnaA. The activity of DnaA is regulated by both its interconversion between an active and inactive form and its titration on binding sites on the chromosome. Whereas its interconversion has been thoroughly studied, the extent to which DnaA titration can control replication initiation is poorly understood. Here, we describe the control of E. coli DNA replication via titration by modulating the expression of an always-active DnaA variant in four growth conditions. While we obtained stable cell cycles during slow growth, faster growth associated with overlapping replication forks led to replicative instability and DNA damage. Overall, our results provide insights into the limits of titration-based systems in the control of genome replication and their potential role in the evolutionary trajectory of E. coli. Finally, this study provides design principles for a simplified, titration-only regulatory mechanism for DNA replication in synthetic cells.

molecular biology↗

bioRxiv2026

Combinatorial optimization of protein systems in synthetic cells

In vitro reconstitution of protein systems - e.g., metabolic pathways, genetic circuits or biosensors - often requires optimization to enhance their activity. Combinatorial DNA libraries that simultaneously target multiple genes allow for a holistic optimization strategy by studying the interplay between the systems components, which may reveal DNA variants that would be hidden when testing each element in isolation. Here, we screen large populations of synthetic vesicles that express combinatorial DNA variants of a DNA self-replicator or a phospholipid synthesis pathway. We simultaneously vary the strengths of multiple RBSs or synonymously mutate the first codons of multiple genes to explore the effects of the protein translation rates directly on the functionality of the two core synthetic cell modules. We isolated high performers through DNA self-selection or functional screening by fluorescence-activated cell sorting. Long-read sequencing of the fittest variants informed on the optimal RBS strengths and base substitutions in the first codons and indicated which genes were most impactful in regulating the functionality of the protein systems. Single-mutation data were used to predict the fitness of combinatorial variants, which was compared with the experimental fitness observed. The theoretical fitness of combinatorial variants was extremely predictive for the two-gene library of the DNA replicator but less for the larger pathway library. Altogether, our approach exemplifies how combinatorial testing can be expanded from single proteins to multiprotein systems, which can in the future be extended to the evolutionary engineering of even larger genetic and metabolic networks, and eventually an entire artificial cell. GRAPHICAL ABSTRACT O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=68 SRC="FIGDIR/small/707944v1_ufig1.gif" ALT="Figure 1"> View larger version (28K): org.highwire.dtl.DTLVardef@7029e4org.highwire.dtl.DTLVardef@1ce778forg.highwire.dtl.DTLVardef@b61b3org.highwire.dtl.DTLVardef@13b6215_HPS_FORMAT_FIGEXP M_FIG C_FIG

synthetic biology↗

bioRxiv2026

Combining evolution and machine learning-guided pathway optimization to engineer a novel methylsuccinate module for synthetic C1 metabolism in vivo

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.

bioengineering↗

bioRxiv2025

Design and analysis of synthetic carbon fixation pathways based on novel enzymatic reactions

Biological carbon fixation is currently limited to seven naturally occurring pathways, each with its own limitations and constraints. In recent years, computational analyses of known biochemical reaction networks have identified dozens of theoretical carbon fixation pathways, some of which may have the potential to outperform their natural counterparts. This mix-and-match approach, however, cannot account for those reactions that have not been reported to occur in nature, which heavily limits the possible solution space. Here, we use a bioretrosynthetic approach coupled with expert biochemical knowledge to identify several novel pathways that leverage enzyme promiscuity and the latent biochemical reaction space. We analyze the thermodynamic, stoichiometric, and kinetic parameters of these pathways and compare them to the ubiquitous Calvin-Benson-Bassham cycle and previously proposed synthetic CO2 fixation cycles, highlighting advantages and disadvantages. We identify several promising pathways that could potentially outcompete the Calvin cycle and other previously proposed synthetic CO2 fixation pathways in predicted biomass yield and/or overall pathway activity. In addition, unlike most of the previously proposed efficient mix-and-match pathways, the pathways proposed in this work do not require vitamin B12, which is an advantage for future implementation in plants or microalgae that typically lack B12 biosynthesis. This work highlights the need for enzyme engineering and design in the quest for efficient biological carbon fixation.

biochemistry↗

bioRxiv2025

Modular in vivo engineering of the reductive methylaspartate cycles for synthetic CO2 fixation

Biological carbon fixation is currently limited to seven naturally occurring pathways. Synthetic carbon fixation pathways have the potential to surpass aerobic natural pathways in efficiency, but none have been realized in living cells. Here, we present the reductive methylaspartate cycles (rMASP), a novel family of 4 energy-efficient aerobic CO2 fixation pathway variants. These cycles have the potential to outperform the yields and/or rates of the Calvin cycle and previously proposed synthetic CO2 fixation cycles. To realize these designs, we adopted a modular engineering approach in Escherichia coli. Several pathway modules up to a cascade of 11 enzymes were realized via engineering and evolution. We demonstrate crotonyl-CoA carboxylase dependent growth for both elevated and ambient CO2 conditions, and show in vitro activity of the other CO2-fixing 2-oxoglutarate carboxylase, which requires further activity optimization for mesophilic temperatures. This work demonstrates important steps toward realizing efficient synthetic carbon fixation pathways in living organisms.

synthetic biology↗

bioRxiv2025

Image-based phenotypic sorting of synthetic cells

Understanding the relationships between genotype and phenotype is key to many areas of biological research and to the development of synthetic cells. We describe an image-based screening and sorting workflow that explores the phenotypes of gene-expressing vesicles within nonclonal populations and selects the desired variants. Using automated confocal microscopy and real-time, neural-network-assisted image analysis, we demonstrate that liposomes can be selected for fluorescence intensity, protein localization, membrane morphology, and dynamic behaviors, and their phenotype can be linked to genetic content. This approach could substantially accelerate the evolution of cellular functions in a minimal synthetic context.

synthetic biology↗

bioRxiv2025

Parageobacillus thermoglucosidasius and the reductive glycine pathway: A journey of Almosts and Maybes.

We aimed to engineer the reductive glycine pathway (rGlyP) in Parageobacillus thermoglucosidasius for synthetic assimilation of formate and methanol via a mixed rational and evolutionary approach. We attempted to obtain glycine or serine auxotrophic strains in P. thermoglucosidasius as a starting point to impose a selective pressure and engineer formate assimilation via the rGlyP. While serine auxotrophy was partially achieved via gene deletion of serA, alternative glycine biosynthesis routes limited its stringency, and glycine auxotrophy could not be obtained due to unsuccessful genome modification. Even though formate supplementation improved the growth of the serA deficient strain, we confirmed that formate was not assimilated into biomass via 13C-labeling experiments. Thus, we hypothesized the increase in growth of the serA deficient mutant was likely due to extra energy provided by formate oxidation, rather than biomass incorporation. We also attempted heterologous overexpression of the C1 module from Moorella thermoacetica, but this did not yield any detectable effect in growth nor formate assimilation. These findings highlight the challenges in rGlyP implementation in non-model organisms, the need for better metabolic annotation in P. thermoglucosidasius, and provide valuable insights for future engineering of synthetic C1 metabolism in thermophiles via the rGlyP.

bioengineering↗

bioRxiv2024

Streamlined and efficient genome editing in Cupriavidus necator H16 using an optimised SIBR-Cas system

Cupriavidus necator H16 is a promising microbial platform strain for CO2 valorisation. While C. necator is amenable to genome editing, existing tools are often inefficient or rely on lengthy protocols, hindering its rapid transition to industrial applications. In this study, we simplified and accelerated the genome editing pipeline for C. necator by harnessing the Self-splicing Intron-Based Riboswitch (SIBR) system. We used SIBR to tightly control and delay Cas9-based counterselection, achieving >80% editing efficiency at two genomic loci within 48 hours after electroporation. To further increase the versatility of the genome editing toolbox, we upgraded SIBR to SIBR2.0 and used it to regulate the expression of Cas12a. SIBR2.0-Cas12a could mediate gene deletion in C. necator with [~]70% editing efficiency. Overall, we streamlined the genome editing pipeline for C. necator, facilitating its potential role in the transition to a bio-based economy.

bioengineering↗

bioRxiv2024

System-level characterization of engineered and evolved formatotrophic E. coli strains

One-carbon compounds, such as formate, are promising and sustainable feedstocks for microbial bioproduction of fuels and chemicals. Growth of Escherichia coli on formate was recently achieved by introducing the reductive glycine pathway (rGlyP) into its genome, which is theoretically the most energy-efficient aerobic formate assimilation pathway. While adaptive laboratory evolution was used to enhance the growth rate and biomass yield significantly, still the best performing formatotrophic E. coli strain did not approach the theoretical optimal biomass yield of the rGlyP. In this study, we investigated these previously engineered formatotrophic E. coli strains to find out why the biomass yield was sub-optimal and how it may be improved. Through a combination of metabolic modelling, genomic and proteomic analysis, we identified several potential metabolic bottlenecks and future targets for optimization. This study also reveals further insights in the evolutionary mutations and related changes in proteome allocation that supported the already substantially improved growth of formatotrophic E. coli strain. This systems-level analysis provides key insights to realize high-yield, fast growing formatotrophic strains for future bioproduction.

synthetic biology↗

bioRxiv2024

Awakening of the RuMP cycle for synthetic methylotrophy in the thermophile Parageobacillus thermoglucosidasius.

Given sustainability and scalability concerns of using sugar feedstocks for microbial bioproduction of bulk chemicals, widening the feedstock range for microbial cell factories is of high interest. Methanol is a one-carbon alcohol that stands out as an alternative feedstock for the bioproduction of chemicals, as it is electron-rich, water-miscible and can be produced from several renewable resources. Bioconversion of methanol into products under thermophilic conditions (>50{degrees}C) could be highly advantageous for industrial biotechnology. Although progress is being made with natural, thermophilic methylotrophic microorganisms, they are not yet optimal for bioproduction and establishing alternative thermophilic methylotrophic bioproduction platforms can widen possibilities. Hence, we set out to implement synthetic methanol assimilation in the emerging thermophilic model organism Parageobacillus thermoglucosidasius. We engineered P. thermoglucosidasius to be strictly dependent for its growth on methanol assimilation via the core of the highly efficient ribulose monophosphate (RuMP) cycle, while co-assimilating ribose. Surprisingly, this did not require heterologous expression of RuMP enzymes. Instead, by laboratory evolution we awakened latent, native enzyme activities to form the core of the RuMP cycle. We obtained fast methylotrophic growth in which [~]17% of biomass was strictly obtained from methanol. This work lays the foundation for developing a versatile thermophilic bioproduction platform based on renewable methanol.

synthetic biology↗

bioRxiv2024

H2-driven xylitol production in Cupriavidus necator H16

BackgroundBiocatalysis offers a potentially greener alternative to chemical processes. For biocatalytic systems requiring cofactor recycling, hydrogen emerges as an attractive reducing agent. Hydrogen is attractive because all the electrons can be fully transferred to the product, and it can be efficiently produced from water using renewable electricity. In this article, resting cells of Cupriavidus necator H16 harboring a NAD-dependent hydrogenase were employed for cofactor recycling to reduce D-xylose to xylitol, a commonly used sweetener. To enable this bioconversion, D-xylose reductase from Scheffersomyces stipitis was heterologously expressed in C. necator. ResultsD-xylose reductase was successfully expressed in C. necator, enabling almost complete bioconversion of 30 g/L of D-xylose into xylitol. It was found that over 90% of the energy and protons derived from hydrogen were spent for the bioconversion, demonstrating the efficiency of the system. The highest xylitol productivity reached was 0.7 g L-1 h-1. Additionally, the same chassis efficiently produced L-arabitol and D-ribitol from L-arabinose and D-ribose, respectively. ConclusionsThis study highlights the efficient utilization of renewable hydrogen as a reducing agent to power cofactor recycling. Hydrogen-oxidizing bacteria, such as C. necator, can be promising hosts for performing hydrogen-driven biocatalysis.

bioengineering↗

bioRxiv2024

The Escherichia coli replication initiator DnaA is titrated on the chromosome

DNA replication initiation is orchestrated in many prokaryotes by the replication initiator DnaA. Two models for regulation of DnaA activity in Escherichia coli have been proposed: the switch between an active and inactive form of DnaA, and the titration of DnaA on the E. coli chromosome. Although proposed decades ago, experimental evidence of a titration-based control mechanism is still lacking. Here, we first identified a conserved high-density region of binding motifs near the origin of replication, an advantageous trait for titration of DnaA. We then investigated the mobility of DnaA by single-particle tracking microscopy in wild-type and deletion mutants E. coli strains, while monitoring cellular size and DNA content. Our results indicate that the chromosome of E. coli controls the free amount of DnaA in a growth rate-dependent fashion. Finally, we provide insights on the relevance of DnaA titration in stabilising DNA replication by preventing re-initiation events during slow growth.

molecular biology↗

bioRxiv2024

MOSAIC: a highly efficient, one-step recombineering approach to plasmid editing and diversification

The editing of plasmids and construction of plasmid libraries is paramount to the engineering of desired functionalities in synthetic biology. Typically, plasmids with targeted mutations are produced through time- and resource-consuming DNA amplification and/or cloning steps. In this study, we establish MOSAIC, a highly efficient protocol for the editing of plasmids and generation of combinatorial plasmid libraries. This quick protocol employs the efficient single-stranded DNA annealing protein (SSAP) CspRecT to incorporate (libraries of) DNA oligos harboring the desired mutations into a target plasmid in E. coli. In addition to up to 90% single-target plasmid editing efficiency, we demonstrate that MOSAIC enables the generation of a combinatorial plasmid library spanning four different target regions on a plasmid, in a single transformation. Lastly, we integrated a user-friendly validation pipeline using Nanopore sequencing reads, requiring minimal computational experience. We anticipate that MOSAIC will provide researchers with a simple, rapid and resource-effective method to edit plasmids or generate large, diverse plasmid libraries for a wide range of in vivo or in vitro applications in molecular and synthetic biology. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=87 SRC="FIGDIR/small/586135v3_ufig1.gif" ALT="Figure 1"> View larger version (31K): org.highwire.dtl.DTLVardef@929537org.highwire.dtl.DTLVardef@1825039org.highwire.dtl.DTLVardef@60e89aorg.highwire.dtl.DTLVardef@46ef46_HPS_FORMAT_FIGEXP M_FIG GRAPHICAL ABSTRACT C_FIG

synthetic biology↗

bioRxiv2023

Engineering the biological conversion of formate into crotonate in Cupriavidus necator

To advance the sustainability of the biobased economy, our society needs to develop novel bioprocesses based on truly renewable resources. The C1-molecule formate is increasingly proposed as carbon and energy source for microbial fermentations, as it can be efficiently generated electrochemically from CO2 and renewable energy. Yet, its biotechnological conversion into value-added compounds has been limited to a handful of examples. In this work, we engineered the natural formatotrophic bacterium C. necator as cell factory to enable biological conversion of formate into crotonate, a platform short-chain unsaturated carboxylic acid of biotechnological relevance. First, we developed a small-scale (150-mL working volume) cultivation setup for growing C. necator in minimal medium using formate as only carbon and energy source. By using a fed-batch strategy with automatic feeding of formic acid, we could increase final biomass concentrations 15-fold compared to batch cultivations in flasks. Then, we engineered a heterologous crotonate pathway in the bacterium via a modular approach, where each pathway section was assessed using multiple candidates. The best performing modules included a malonyl-CoA bypass for increasing the thermodynamic drive towards the intermediate acetoacetyl-CoA and subsequent conversion to crotonyl-CoA through partial reverse {beta}-oxidation. This pathway architecture was then tested for formate-based biosynthesis in our fed-batch setup, resulting in a two-fold higher titer, three-fold higher productivity, and five-fold higher yield compared to the strain not harboring the bypass. Eventually, we reached a maximum product titer of 148.0 {+/-} 6.8 mg/L. Altogether, this work consists in a proof-of-principle integrating bioprocess and metabolic engineering approaches for the biological upgrading of formate into a value-added platform chemical.

synthetic biology↗

bioRxiv2022

Engineered synthetic one-carbon fixation exceeds yield of the Calvin Cycle

One-carbon (C1) feedstocks derived from CO2 and renewable electricity, such as formate, are promising substrates for sustainable production of chemicals, food and fuels. Energetically more efficient, engineered C1-fixation pathways were proposed to increase biomass yields above their natural counterparts, but have so far not been shown to achieve this. Here, we replace the native energy-inefficient Calvin-Benson-Bassham (CBB) cycle in Cupriavidus necator by genomic integration of the synthetic reductive glycine pathway for growth on formate. Our final engineered strain reaches a higher biomass yield than the CBB-cycle-utilizing wild type, showing for the first time that efficiencies found in natural metabolism can be exceeded via a synthetic pathway. This yield increase demonstrates the potential of synthetic metabolism and is an important step towards realizing truly sustainable, economically feasible bio-based production.

synthetic biology↗

bioRxiv2022

Paving the way for synthetic C1- metabolism in Pseudomonas putida through the reductive glycine pathway

One-carbon (C1) compounds such as methanol, formate, and CO2 are alternative, sustainable microbial feedstocks for the biobased production of chemicals and fuels. In this study, we engineered the carbon metabolism of the industrially important bacterium Pseudomonas putida to assimilate these three substrates through the reductive glycine pathway. First, we demonstrated the functionality of the C1-assimilation module by coupling the growth of auxotrophic strains to formate assimilation. Next, we extended the module from formate to methanol using both NAD and PQQ - dependent methanol dehydrogenases. Finally, we demonstrated CO2-dependent growth through CO2 reduction to formate by the native formate dehydrogenase, which required short-term evolution to rebalance the cellular NADH/NAD+ ratio. This research paves the way to engineer P. putida towards growth on formate, methanol, and CO2 as sole feedstocks, thereby substantially expanding its potential as a sustainable and versatile cell factory.

synthetic biology↗