Biology subjects

Papachristodoulou, A.

Publications and source records attributed to Papachristodoulou, A..

18 recordsLinked to original sources

bioRxiv2026

Quantitative Engineering and Investigation of Synthetic Sponge RNAs in E. coli

Sponge RNAs (spRNAs) play an important regulatory role in bacterial small RNA (sRNA) networks, but their engineering and quantitative systems-level properties are unexplored. Here, we design, build, and quantitatively characterise synthetic spRNA-based gene circuits in E. coli. We establish multiple design strategies for synthetic spRNAs, engineering the first synthetic spRNAs. We show that these synthetic spRNAs can reversibly de-repress sRNA-regulated gene expression, demonstrate tuneable control of gene expression, and extend these designs to multi-target regulation. Through the use of time-resolved continuous-culture characterisation in Chi.Bio together with absolute fluorescent protein quantification, we generated a quantitative dynamical dataset for model fitting and mechanistic analysis. Sequential model development showed that recapitulating the observed circuit dynamics required incorporation of Hfq-mediated resource competition, often overlooked in models of sRNA-based synthetic gene circuits. The extended model captured promoter, sRNA, and sponge circuit behaviour and was used to investigate quantitative properties of spRNA-mediated regulation, the first such quantitative investigation of spRNA-based regulation. Model-based quantitative investigations further suggest that spRNAs can tune response functions, modulate thresholds and leakiness, alter response times, improve disturbance rejection in some regimes, increase effective specificity, and buffer regulatory output against sRNA mutation. Together, these results establish synthetic spRNAs as a new post-transcriptional tool for bacterial synthetic biology and provide a quantitative framework for understanding natural and engineered spRNA-mediated regulation.

synthetic biology↗

bioRxiv2025

A synthetic ERFVII-dependent circuit in yeast sheds light on the regulation of early hypoxic responses of plants

Plants face hypoxic conditions either chronically, as particular tissues are characterized by fluctuating or stable low oxygen levels, or acutely, when flooded. In vascular plants, transcriptional adaptive responses to hypoxia are rapidly mounted by Ethylene Response Factors VII (ERFVIIs), regulated by Plant Cysteine Oxidases (PCOs) through the cysteine branch of the N-degron pathway (Cys-NDP) for oxygen sensing. However, this relatively simple regulatory circuit, consisting of both constitutively expressed as well as hypoxia-inducible ERFVIIs and PCOs, interacts with diverse signalling cues and pathways invoked by hypoxia. To understand the share of the PCO-mediated oxygen sensing mechanism in the production of hypoxia responses, we insulated the PCO/ERFVII circuit from Arabidopsis thaliana and adapted it to Saccharomyces cerevisiae. Using a reporter gene to monitor the output of the circuit allowed us to compare the speed and amplitude of response to hypoxia in the engineered yeast and the source organism. Hypoxia triggered ERFVII stabilization both in Arabidopsis and yeast, leading to a similarly fast transcriptional response that was however larger in plants. A simple hypoxia-inducible feedback loop improved the amplitude of response in yeast, demonstrating the importance of this regulation in the endogenous PCO/ERFVII circuit. Finally, computational modelling of the yeast circuit enabled us to identify promoter competition and presence of hypoxia-inducible PCOs as key parameters that shape early hypoxia responses in plant cells. Significance StatementWe report the design, testing and optimisation of a synthetic molecular switch that activates gene expression in response to hypoxia in the yeast Saccharomyces cerevisiae. This is based on enzymes that consume molecular oxygen to regulate the stability of transcription factors in plant cells. By generating such a hybrid molecular device, we were able to demonstrate the efficacy of this hypoxia response strategy independently of the many ancillary components that affect gene regulation in plant cells. In this way, we were able to assess its activation dynamics, characterised by similarly fast induction of gene expression in both yeast and plants. Our approach also revealed the requirement of interlocked feedback loops to achieve the magnitude of gene induction measured in plants.

plant biology↗

bioRxiv2025

Manipulating plant oxygen sensing through NCO substitution reveals trade-offs between growth and flooding tolerance

The oxygen-dependent degradation of Ethylene Response Factors VII (ERFVIIs) through the N-degron pathway is central to regulating the transcriptional responses to hypoxia in vascular plants. Plant Cysteine Oxidases (PCOs) control this step by catalysing the oxidation of an N-terminal Cys residue exposed by ERFVIIs. In the present study, we investigated the functional impact of replacing Arabidopsis PCOs with diverse N-terminal cysteine oxidases (NCOs) from across the three eukaryotic kingdoms, hypothesizing that structural and kinetic differences may influence gene regulation of ERFVII targets under hypoxia and thus impact stress tolerance. Combining structural analyses, in vitro biochemical characterisation and in planta complementation assays we observed that not all tested NCOs are functionally equivalent to the endogenous PCOs. In fact, despite the remarkable conservation of catalytic motifs, we identified key differences in enzyme architecture that appear to affect the enzymes capacity to regulate hypoxia responses in plants. Notably, NCO efficiency in oxidising ERFVII peptides inversely correlated with hypoxic gene expression under aerobic conditions and enhanced submergence survival, suggesting that partial ERFVII stabilization primes plants to cope with hypoxia. However, enhanced basal expression of hypoxia-responsive genes in turn correlated negatively with development and biomass accumulation, pointing to a trade-off between growth and stress resilience. Our findings demonstrate that tuning NCO activity can reshape the transcriptional and physiological hypoxia response, suggesting it is possible to enhance plant resilience under fluctuating oxygen conditions through enzyme engineering and precision breeding. Significance statementControl of low oxygen responses to improve crop flooding tolerance is a long-sought objective of molecular plant breeders. The oxygen-dependent oxidation of N-terminal cysteines in transcription factors is thought to be a key step in modulating the transcriptional response to hypoxia. In this study, we tested this hypothesis by substituting endogenous N-terminal cysteine dioxygenases with homologues from different species characterized by highly divergent sequences, structures, and kinetic properties. We show that indeed these variations effectively and predictably influence gene transcription in plants exposed to hypoxia, thereby affecting their tolerance to submergence. However, we also demonstrate that, unexpectedly, these substitutions impact plant growth and development under aerobic conditions, revealing a trade-off between flooding stress resilience and biomass accumulation or yield.

plant biology↗

bioRxiv2024

Engineering prolyl hydroxylase-dependent proteolysis enables the orthogonal control of hypoxia responses in plants

Vascular plants and metazoans use selective proteolysis of transcription factors to control the adaptive responses to hypoxia, although through distinct biochemical mechanisms. The reason for this divergence is puzzling, especially when considering that the molecular components necessary to establish both strategies are conserved across the two kingdoms. To explore an alternative evolutionary scenario where plants sense hypoxia as animals do, we engineered a three-components system aimed to target proteins for degradation in an oxygen dependent manner in Arabidopsis thaliana. Applying the synthetic biology framework, we produced a hypoxia-responsive switch independent of endogenous pathways. When applied to control transcription, the synthetic system partially restored hypoxia responsiveness in oxygen-insensitive mutants. Additionally, we demonstrated its potential to regulate growth under flood-induced hypoxia. Our work highlights the use of synthetic biology to reprogram signalling pathways in plants, providing insights into the evolution of oxygen sensing and ofering tools for crop improvement under stress conditions.

synthetic biology↗

bioRxiv2024

AC-BioSD : A biomolecular signal differentiator module with enhanced performance

Temporal gradient estimation is a pervasive phenomenon in natural biological systems and holds great promise for synthetic counterparts with broad-reaching applications. Here, we advance the concept of BioSD (Biomolecular Signal Differentiators) by introducing a novel biomolecular topology, termed Autocatalytic-BioSD or AC-BioSD. Its structure allows for insensitivity to input signal changes and high precision in terms of signal differentiation, even when operating far from nominal conditions. Concurrently, disruptive high-frequency signal components are effectively attenuated. In addition, the usefulness of our topology in biological regulation is highlighted via a PID (Proportional-Integral-Derivative) bio-control scheme with set point weighting and filtered derivative action in both the deterministic and stochastic domains.

synthetic biology↗

bioRxiv2022

On the Design of a PID Bio-controller with Set Point Weighting and Filtered Derivative Action

Effective and robust regulation of biomolecular processes is crucial for designing reliable synthetic bio-devices functioning in uncertain and constantly changing biological environments. Proportional-Integral-Derivative (PID) controllers are undeniably the most common way of implementing feed-back control in modern technological applications. Here, we introduce a highly tunable PID bio-controller with set point weighting and filtered derivative action presented as a chemical reaction network with mass action kinetics. To demonstrate its effectiveness, we apply our PID scheme on a simple biological process of two mutually activated species, one of which is assumed to be the output of interest. To highlight its performance advantages we compare it to PI regulation using numerical simulations in both the deterministic and stochastic setting.

synthetic biology↗

bioRxiv2022

Regulation strategies for two-output biomolecular networks

Feedback control theory facilitates the development of self-regulating systems with desired performance which are predictable and insensitive to disturbances. Feedback regulatory topologies are found in many natural systems and have been of key importance in the design of reliable synthetic bio-devices operating in complex biological environments. Here, we study control schemes for biomolecular processes with two outputs of interest, expanding previous traditional concepts describing one-output systems. Regulation of such processes may unlock new design possibilities but can be challenging due to coupling interactions; also potential disturbances applied on one of the outputs may affect both. We therefore propose architectures for robustly manipulating the ratio and linear combinations of the outputs as well as each of the outputs independently. To demonstrate their characteristics, we apply these architectures to a simple process of two mutually activated biomolecular species. We also highlight the potential for experimental implementation by exploring synthetic realizations both in vivo and in vitro. This work presents an important step forward in building bio-devices capable of sophisticated functions.

synthetic biology↗

bioRxiv2021

Dichotomous Feedback: A Signal Sequestration-based Feedback Mechanism for Biocontroller Design

We introduce a new design framework for implementing negative feedback regulation in Synthetic Biology, which we term dichotomous feedback. Our approach is different from current methods, in that it sequesters existing fluxes in the process to be controlled, and in this way takes advantage of the processs architecture to design the control law. This signal sequestration mechanism appears in many natural biological systems and can potentially be easier to realise than molecular sequestration and other comparison motifs that are nowadays common in biomolecular feedback control design. The loop is closed by linking the strength of signal sequestration to the process output. Our feedback regulation mechanism is motivated by two-component signalling systems, where we introduce a second response regulator competing with the natural response regulator thus sequestering kinase activity. Here, dichotomous feedback is established by increasing the concentration of the second response regulator as the level of the output of the natural process increases. Extensive analysis demonstrates how this type of feedback shapes the signal response, attenuates intrinsic noise while increasing robustness and reducing crosstalk.

synthetic biology↗

bioRxiv2021

Genome-scale metabolic modelling of lifestyle changes in Rhizobium leguminosarum

Biological nitrogen fixation in rhizobium-legume symbioses is of major importance for sustainable agricultural practices. To establish a mutualistic relationship with their plant host, rhizobia transition from free-living bacteria in soil to growth down infection threads inside plant roots and finally differentiate into nitrogen-fixing bacteroids. We reconstructed a genome-scale metabolic model for Rhizobium leguminosarum and integrated the model with transcriptome, proteome, metabolome and gene essentiality data to investigate nutrient uptake and metabolic fluxes characteristic of these different lifestyles. Synthesis of leucine, polyphosphate and AICAR is predicted to be important in the rhizosphere, while myo-inositol catabolism is active in undifferentiated nodule bacteria in agreement with experimental evidence. The model indicates that bacteroids utilize xylose and glycolate in addition to dicarboxylates, which could explain previously described gene expression patterns. Histidine is predicted to be actively synthesized in bacteroids, consistent with transcriptome and proteome data for several rhizobial species. These results provide the basis for targeted experimental investigation of metabolic processes specific to the different stages of the rhizobium-legume symbioses. ImportanceRhizobia are soil bacteria that induce nodule formation on plant roots and differentiate into nitrogen-fixing bacteroids. A detailed understanding of this complex symbiosis is essential for advancing ongoing efforts to engineer novel symbioses with cereal crops for sustainable agriculture. Here, we reconstruct and validate a genome-scale metabolic model for Rhizobium leguminosarum bv. viciae 3841. By integrating the model with various experimental datasets specific to different stages of symbiosis formation, we elucidate the metabolic characteristics of rhizosphere bacteria, undifferentiated bacteria inside root nodules, and nitrogen-fixing bacteroids. Our model predicts metabolic flux patterns for these three distinct lifestyles, thus providing a framework for the interpretation of genome-scale experimental datasets and identifying targets for future experimental studies.

systems biology↗

bioRxiv2021

Biomolecular mechanisms for signal differentiation

Cells can sense temporal changes of molecular signals, allowing them to predict environmental vari-ations and modulate their behaviour. This paper elucidates the underlying biomolecular mechanisms of time derivative computation, facilitating the design of reliable synthetic differentiator devices for a variety of applications, ultimately expanding our understanding of cell behaviour. In particular, we describe and analyse three alternative biomolecular topologies that work as signal differentiators of high accuracy to arbitrary input signals around their nominal operation. We propose strategies to preserve their performance even in the presence of high-frequency input signal components, which are detrimental to the performance of most differentiators. We found that the core of the proposed topologies appears in natural regulatory networks and we further discuss their biological relevance. The simple structure of our designs makes them promising tools for realizing derivative control action in synthetic biology.

synthetic biology↗

bioRxiv2021

Metabolic constraints on nitrogen fixation by rhizobia in legume nodules

Rhizobia induce nodule formation on legume roots and differentiate into bacteroids, which use plant-derived dicarboxylates as energy and electron sources for reduction of atmospheric N2 into ammonia for secretion to plants. Using heterogeneous genome-scale datasets, we reconstructed a model of bacteroid metabolism to investigate the effects of varying dicarboxylate and oxygen supply on carbon and nitrogen allocation. Modelling and 13C metabolic flux analysis in bacteroids indicate that microaerobiosis restricts the decarboxylating arm of the TCA cycle and limits ammonia assimilation into glutamate. Catabolism of dicarboxylates induces a higher oxygen demand but also a higher NADH/NAD+ ratio compared to sugars. Carbon polymer synthesis and alanine secretion by bacteroids facilitate redox balance in microaerobic nodules with alanine secretion increasing as oxygen tension decreases. Our results provide a framework for understanding fundamental constraints on rhizobial metabolism during symbiotic nitrogen fixation.

microbiology↗

bioRxiv2020

A multi-sensor system provides spatiotemporal oxygen regulation of gene expression in a Rhizobium-legume symbiosis

Regulation by oxygen (O2) in rhizobia is essential for their symbioses with plants and involves multiple O2 sensing proteins. Three sensors exist in the pea microsymbiont Rhizobium leguminosarum Rlv3841: hFixL, FnrN and NifA. At low O2 concentrations (1%) hFixL signals via FxkR to induce expression of the FixK transcription factor, which activates transcription of downstream genes. These include fixNOQP, encoding the high-affinity cbb3-type terminal oxidase used in symbiosis. In vitro, the Rlv3841 hFixL-FxkR-FixK cascade was active at 1% O2, and confocal microscopy showed the cascade is active in the earliest stages of Rlv3841 differentiation in nodules (zones I-II). In vitro and in vivo work showed that the hFixL-FxkR-FixK cascade also induces transcription of fnrN at 1% O2 and in the earliest stages of Rlv3841 differentiation in nodules. We confirmed past findings suggesting a role for FnrN in fixNOQP expression. However, unlike hFixL-FxkR-FixK, Rlv3841 FnrN was only active in the near-anaerobic zones III-IV of pea nodules. Quantification of fixNOQP expression in nodules showed this was driven primarily by FnrN, with minimal direct hFixL-FxkR-FixK induction. Thus, FnrN is key for full symbiotic expression of fixNOQP. Without FnrN, nitrogen fixation was reduced by 85% in Rlv3841, while eliminating hFixL only reduced fixation by 25%. The hFixL-FxkR-FixK system effectively primes the O2 response by increasing fnrN expression in early differentiation (zones I-II). In Zone III of mature nodules, the near-anaerobic conditions activate FnrN, which induces fixNOQP transcription to the level required to achieve wild-type nitrogen fixation activity. Modelling and transcriptional analysis indicates that the different O2 sensitivities of hFixL and FnrN lead to a nuanced spatiotemporal pattern of gene regulation in different nodule zones in response to changing O2 concentration. Multi-sensor O2 regulation systems are prevalent in rhizobia, suggesting the fine-tuned control they enable is common and maximizes the effectiveness of the symbioses. Author SummaryRhizobia are soil bacteria that form a symbiosis with legume plants. In exchange for shelter from the plant, rhizobia provide nitrogen fertilizer, produced by nitrogen fixation. Fixation is catalysed by the nitrogenase enzyme, which is inactivated by oxygen. To prevent this, plants house rhizobia in root nodules, which create a low oxygen environment. However, rhizobia need oxygen, and must adapt to survive low oxygen in the nodule. Key to this is regulating their genes based on oxygen concentration. We studied one Rhizobium species which uses three different protein sensors of oxygen, each turning on at a different oxygen concentration. As the bacteria get deeper inside the plant nodule and the oxygen concentration drops, each sensor switches on in turn. Our results also show that the first sensor to turn on, hFixL, primes the second sensor, FnrN. This prepares the rhizobia for the core region of the nodule where oxygen concentration is lowest and most nitrogen fixation takes place. If both sensors are removed, the bacteria cannot fix nitrogen. Many rhizobia have several oxygen sensing proteins, so using multiple sensors is likely a common strategy that makes it possible for rhizobia to adapt to low oxygen gradually in stages during symbiosis.

microbiology↗

bioRxiv2019

Chi.Bio: An open-source automated experimental platform for biological science research

The precise characterisation and manipulation of in vivo biological systems is critical to their study.1 However, in many experimental frameworks this is made challenging by non-static environments during cell growth,2, 3 as well as variability introduced by manual sampling and measurement protocols.4 To address these challenges we present Chi.Bio, a parallelised open-source platform that offers a new experimental paradigm in which all measurement and control actions can be applied to a bulk culture in situ. In addition to continuous-culturing capabilities (turbidostat functionality, heating, stirring) it incorporates tunable light outputs of varying wavelengths and spectrometry. We demonstrate its application to studies of cell growth and biofilm formation, automated in silico control of optogenetic systems, and readout of multiple orthogonal fluorescent proteins. By combining capabilities from many laboratory tools into a single low-cost platform, Chi.Bio facilitates novel studies in synthetic, systems, and evolutionary biology, and broadens access to cutting-edge research capabilities.

bioengineering↗

bioRxiv2018

Design of a Synthetic sRNA-based Feedback Filter Module

Filters are widely used in engineering to reduce noise and/or the magnitude of a signal of interest. Feedback filters, or adaptive filters, are preferred if the signal noise distribution is unknown. One of the main challenges in Synthetic Biology remains the design of reliable constructs but these often fail to work as intended due, e.g. to their inherent stochasticity and burden on the host. Here we design, implement and test experimentally a biological feedback filter module based on small non-coding RNAs (sRNAs) and self-cleaving ribozymes. Mathematical modelling demonstrates that it attenuates noise for a large range of parameters due to negative feedback introduced by the use of ribozymes and sRNA. Our module modifies the steady-state response of the filtered signal, and hence can be used for tuning the feedback strength while also reducing noise. We demonstrated these properties theoretically on the TetR autorepressor, enhanced with our sRNA module.

synthetic biology↗

bioRxiv2018

Characterisation and development of aspirin inducible biosensors in E. coli Nissle 1917 and SimCells

A simple aspirin-inducible system has been developed by employing the Psal promoter and SalR regulation system originally from Acinetobacter baylyi ADP1, which has been cloned into E. coli for characterisation of gene circuits and induction of novel SimCells (simple cells). Mutagenesis at the DNA binding domain (DBD) and chemical recognition domain (CRD) of the SalR protein in A. baylyi ADP1 suggests that inactive SalRi can compete with activated SalRa, occupying the binding position of Psal promoter. The induction of the Psal promoter was compared in two different designs in E. coli: simple regulation (SRS) and positive autoregulated system (PAR). Both regulatory systems were induced in a dose-dependent manner in the presence of aspirin in the range of 0.05-10 M. Over-expression of SalR in the SRS system reduces both baseline leakiness and inducible strength of Psal promoter. A weak SalR expression significantly improve the inducible strength, which is in a good agreement of the proposed hypothesis of SalRi/SalRa competitive binding. The PAR system provides a feedback loop that fine-tunes the level of SalR, displaying inducible strength. A mathematical model based on SalRi/SalRa competitive binding hypothesis was developed, which not only reproduces the observed experimental results but also predict the performance of a new gene circuit design. The aspirin-inducible systems were also functional in probiotic strain E.coli Nissle 1917 (EcN) and SimCells produced from E. coli MC1000 {Delta}minD. The well-characterised and modularised aspirin-inducible gene circuits would be useful biobricks for bacterial therapy in environment and medical applications.

microbiology↗

bioRxiv2017

Visual Representation of Experimental Protocols

Using robots to automate laboratory tasks could increase throughput and reproducibility, but requires experimental protocols to be specified in a computer-readable format. We present a new user interface (Lists of Liquids) for specifying experimental protocols by directly manipulating a diagram: rather than having to specify individual liquid handling operations, the user can simply specify that particular lists of liquids should be combined as either a Cartesian product or convolution, and the system will plan a series of liquid handling steps to achieve this. This is intended to provide a higher-level interface in order to make the creation of protocols faster and less error prone.

synthetic biology↗

bioRxiv2017

Synthetic negative feedback circuits using engineered small RNAs

Negative feedback is known to endow biological and man-made systems with robust performance in the face of uncertainties and disturbances. To date, synthetic biological feedback circuits have relied upon protein-based, transcriptional regulation to control circuit output. Small RNAs (sRNAs) are non-coding RNA molecules which can inhibit translation of target messenger RNAs (mRNAs). In this paper, we designed, modelled and built two synthetic negative feedback circuits that use rationally-designed sRNAs for the first time. The first circuit builds upon the well characterised tet-based autorepressor, incorporating an externally-inducible sRNA to tune the effective feedback strength. This allows more precise fine-tuning of the circuit output in contrast to the sigmoidal input-output response of the autorepressor alone. In the second circuit, the output is a transcription factor that induces expression of an sRNA which negatively regulates the translation of the mRNA encoding this output, creating direct, closed-loop, negative feedback. Analysis of the noise profiles of both circuits showed that the use of sRNAs did not result in large increases in noise. Stochastic and deterministic modelling of both circuits agreed well with experimental data. Finally, simulations using fitted parameters allowed dynamic attributes of each circuit such as response time and disturbance rejection to be investigated.

synthetic biology↗

bioRxiv2016

Ribo-attenuators: novel elements for reliable and modular riboswitch engineering

Riboswitches are structural genetic regulatory elements that directly couple the sensing of small molecules to gene expression. They have considerable potential for applications throughout synthetic biology and bio-manufacturing as they are able to sense a wide range of small molecules and regulate gene expression in response. Despite over a decade of research they have yet to reach this considerable potential as they cannot yet be treated as modular components. This is due to several limitations including sensitivity to changes in genetic context, low tunability, and variability in performance. To overcome the associated difficulties with riboswitches, we have designed and introduced a novel genetic element called a Ribo-attenuator in Bacteria. This genetic element allows for predictable tuning, insulation from contextual changes, and a reduction in expression variation. Ribo-attenuators allow riboswitches to be treated as truly modular and tunable components, and thus increases their reliability for a wide range of applications.

synthetic biology↗