Design Of Synthetic Promoters Research Articles

Synthetic promoter design in Escherichia coli based on multinomial diffusion model

Generative design of promoters has enhanced the efficiency of de novo creation of functional sequences. Though several deep generative models have been employed in biological sequence generation, including variational autoencoder (VAE) or Wasserstein generative adversarial network (WGAN), these models might struggle with mode collapse and low sample diversity. In this study, we introduce the multinomial diffusion model (MDM) for promoter sequence design and propose a structured set of criteria for effectively comparing the performance of generative models. In silico experiments demonstrate that MDM outperforms existing generative AI approaches. MDM demonstrates superior performance in various computational evaluations, remains robust during the training process, and exhibits a strong ability in capturing weak signals. In addition, we experimentally validated that the majority of our model designed promoters have expression activities invivo, indicating the practicality and potential of MDM for bioengineering.

Chemical Reaction Models in Synthetic Promoter Design in Bacteria.

We discuss the formalism of chemical reaction networks (CRNs) as a computer-aided design interface for using formal methods in engineering living technologies. We set out by reviewing formal methods within a broader view of synthetic biology. Based on published results, we illustrate, step by step, how mathematical and computational techniques on CRNs can be used to study the structural and dynamic properties of the designed systems. As a case study, we use an E. coli two-component system that relays the external inorganic phosphate concentration signal to genetic components. We show how CRN models can scan and explore phenotypic regimes of synthetic promoters with varying detection thresholds, thereby providing a means for fine-tuning the promoter strength to match the specification.

Synthetic Promoter Design and Functional Evaluation in Saccharomyces cerevisiae.

Saccharomyces cerevisiae has become a key microbial cell factory for producing biofuels, recombinant proteins, and natural products. The development of efficient cell factories relies on the precise control and fine-tuning of gene expression, underscoring the pivotal role of promoters in pathway engineering. However, natural promoters often have limited transcriptional capacity and thus fall short of the metabolic engineering requirements. This chapter provides protocols and guidelines for constructing and evaluating synthetic promoters in S. cerevisiae. Moreover, these protocols are applicable for creating and testing various synthetic promoters in other host systems.

Synthetic Homoserine Lactone Sensors for Gram-Positive Bacillus subtilis Using LuxR-Type Regulators.

A universal biochemical signal for bacterial cell-cell communication could facilitate programming dynamic responses in diverse bacterial consortia. However, the classical quorum sensing paradigm is that Gram-negative and Gram-positive bacteria generally communicate via homoserine lactones (HSLs) or oligopeptide molecular signals, respectively, to elicit population responses. Here, we create synthetic HSL sensors for Gram-positive Bacillus subtilis 168 using allosteric LuxR-type regulators (RpaR, LuxR, RhlR, and CinR) and synthetic promoters. Promoters were combinatorially designed from different sequence elements (-35, -16, -10, and transcriptional start regions). We quantified the effects of these combinatorial promoters on sensor activity and determined how regulator expression affects its activation, achieving up to 293-fold activation. Using the statistical design of experiments, we identified significant effects of promoter regions and pairwise interactions on sensor activity, which helped to understand the sequence-function relationships for synthetic promoter design. We present the first known set of functional HSL sensors (≥20-fold dynamic range) in B. subtilis for four different HSL chemical signals: p-coumaroyl-HSL, 3-oxohexanoyl-HSL, n-butyryl-HSL, and n-(3-hydroxytetradecanoyl)-HSL. This set of synthetic HSL sensors for a Gram-positive bacterium can pave the way for designable interspecies communication within microbial consortia.

Design of synthetic promoters for cyanobacteria with generative deep-learning model.

Deep generative models, which can approximate complex data distribution from large datasets, are widely used in biological dataset analysis. In particular, they can identify and unravel hidden traits encoded within a complicated nucleotide sequence, allowing us to design genetic parts with accuracy. Here, we provide a deep-learning based generic framework to design and evaluate synthetic promoters for cyanobacteria using generative models, which was in turn validated with cell-free transcription assay. We developed a deep generative model and a predictive model using a variational autoencoder and convolutional neural network, respectively. Using native promoter sequences of the model unicellular cyanobacterium Synechocystis sp. PCC 6803 as a training dataset, we generated 10000 synthetic promoter sequences and predicted their strengths. By position weight matrix and k-mer analyses, we confirmed that our model captured a valid feature of cyanobacteria promoters from the dataset. Furthermore, critical subregion identification analysis consistently revealed the importance of the -10 box sequence motif in cyanobacteria promoters. Moreover, we validated that the generated promoter sequence can efficiently drive transcription via cell-free transcription assay. This approach, combining in silico and in vitro studies, will provide a foundation for the rapid design and validation of synthetic promoters, especially for non-model organisms.

Challenges and advances towards the rational design of microalgal synthetic promoters in Chlamydomonas reinhardtii.

Microalgae hold enormous potential to provide a safe and sustainable source of high-value compounds, acting as carbon-fixing biofactories that could help to mitigate rapidly progressing climate change. Bioengineering microalgal strains will be key to optimizing and modifying their metabolic outputs, and to render them competitive with established industrial biotechnology hosts, such as bacteria or yeast. To achieve this, precise and tuneable control over transgene expression will be essential, which would require the development and rational design of synthetic promoters as a key strategy. Among green microalgae, Chlamydomonas reinhardtii represents the reference species for bioengineering and synthetic biology; however, the repertoire of functional synthetic promoters for this species, and for microalgae generally, is limited in comparison to other commercial chassis, emphasizing the need to expand the current microalgal gene expression toolbox. Here, we discuss state-of-the-art promoter analyses, and highlight areas of research required to advance synthetic promoter development in C. reinhardtii. In particular, we exemplify high-throughput studies performed in other model systems that could be applicable to microalgae, and propose novel approaches to interrogating algal promoters. We lastly outline the major limitations hindering microalgal promoter development, while providing novel suggestions and perspectives for how to overcome them.

Automated model-predictive design of synthetic promoters to control transcriptional profiles in bacteria

Transcription rates are regulated by the interactions between RNA polymerase, sigma factor, and promoter DNA sequences in bacteria. However, it remains unclear how non-canonical sequence motifs collectively control transcription rates. Here, we combine massively parallel assays, biophysics, and machine learning to develop a 346-parameter model that predicts site-specific transcription initiation rates for any σ70 promoter sequence, validated across 22132 bacterial promoters with diverse sequences. We apply the model to predict genetic context effects, design σ70 promoters with desired transcription rates, and identify undesired promoters inside engineered genetic systems. The model provides a biophysical basis for understanding gene regulation in natural genetic systems and precise transcriptional control for engineering synthetic genetic systems.

Orthogonal control of gene expression in plants using synthetic promoters and CRISPR-based transcription factors

BackgroundThe construction and application of synthetic genetic circuits is frequently improved if gene expression can be orthogonally controlled, relative to the host. In plants, orthogonality can be achieved via the use of CRISPR-based transcription factors that are programmed to act on natural or synthetic promoters. The construction of complex gene circuits can require multiple, orthogonal regulatory interactions, and this in turn requires that the full programmability of CRISPR elements be adapted to non-natural and non-standard promoters that have few constraints on their design. Therefore, we have developed synthetic promoter elements in which regions upstream of the minimal 35S CaMV promoter are designed from scratch to interact via programmed gRNAs with dCas9 fusions that allow activation of gene expression.ResultsA panel of three, mutually orthogonal promoters that can be acted on by artificial gRNAs bound by CRISPR regulators were designed. Guide RNA expression targeting these promoters was in turn controlled by either Pol III (U6) or ethylene-inducible Pol II promoters, implementing for the first time a fully artificial Orthogonal Control System (OCS). Following demonstration of the complete orthogonality of the designs, the OCS was tied to cellular metabolism by putting gRNA expression under the control of an endogenous plant signaling molecule, ethylene. The ability to form complex circuitry was demonstrated via the ethylene-driven, ratiometric expression of fluorescent proteins in single plants.ConclusionsThe design of synthetic promoters is highly generalizable to large tracts of sequence space, allowing Orthogonal Control Systems of increasing complexity to potentially be generated at will. The ability to tie in several different basal features of plant molecular biology (Pol II and Pol III promoters, ethylene regulation) to the OCS demonstrates multiple opportunities for engineering at the system level. Moreover, given the fungibility of the core 35S CaMV promoter elements, the derived synthetic promoters can potentially be utilized across a variety of plant species.

Detection and validation of cis-regulatory motifs in osmotic stress-inducible synthetic gene switches via computational and experimental approaches.

Synthetic cis -regulatory modules can improve our understanding of gene regulatory networks. We applied an ensemble approach for de novo cis motif discovery among the promoters of 181 drought inducible differentially expressed soybean (Glycine max L.) genes. A total of 43 cis motifs were identified in promoter regions of all gene sets using the binding site estimation suite of tools (BEST). Comparative analysis of these motifs revealed similarities with known cis -elements found in PLACE database and led to the discovery of cis -regulatory motifs that were not yet implicated in drought response. Compiled with the proposed synthetic promoter design rationale, three synthetic assemblies were constructed by concatenating multiple copies of drought-inducible cis motifs in a specific order with inter-motif spacing using random bases and placed upstream of 35s minimal core promoter. Each synthetic module substituted 35S promoter in pBI121 and pCAMBIA3301 to drive glucuronidase expression in soybean hairy roots and Arabidopsis thaliana L. Chimeric soybean seedlings and 3-week-old transgenic Arabidopsis plants were treated with simulated with different levels of osmotic stress. Histochemical staining of transgenic soybean hairy roots and Arabidopsis displayed drought-inducible GUS activity of synthetic promoters. Fluorometric assay and expression analysis revealed that SP2 is the better manual combination of cis -elements for stress-inducible expression. qRT-PCR results further demonstrated that designed synthetic promoters are not tissue-specific and thus active in different parts upon treatment with osmotic stress in Arabidopsis plants. This study provides tools for transcriptional upgradation of valuable crops against drought stress and adds to the current knowledge of synthetic biology.

Stochastic Simulations as a Tool for Assessing Signal Fidelity in Gene Expression in Synthetic Promoter Design.

Simple SummarySynthetic biology is an emerging discipline, offering new perspectives in many industrial fields, from pharma and row-material production to renewable energy. Developing synthetic biology applications is often a lengthy and expensive process with extensive and tedious trial-and-error runs. Computational models can direct the engineering of biological circuits in a computer-aided design setting. By providing a virtual lab environment, in silico models of synthetic circuits can contribute to a quantitative understanding of the underlying molecular pathways before a wet-lab implementation. Here, we illustrate this notion from the point of view of signal fidelity and noise relationship. Noise in gene expression can undermine signal fidelity with implications on the well-functioning of the engineered organisms. For our analysis, we use a specific biological circuit that regulates the gene expression in bacterial inorganic phosphate economy. Applications that use this circuit include those in pollutant detection and wastewater treatment. We provide computational models with different levels of molecular detail as virtual labs. We show that inherent fluctuations in the gene expression machinery can be predicted via stochastic simulations to introduce control in the synthetic promoter design process. Our analysis suggests that noise in the system can be alleviated by strong synthetic promoters with slow unbinding rates. Overall, we provide a recipe for the computer-aided design of synthetic promoter libraries with specific signal to noise characteristics.The design and development of synthetic biology applications in a workflow often involve connecting modular components. Whereas computer-aided design tools are picking up in synthetic biology as in other areas of engineering, the methods for verifying the correct functioning of living technologies are still in their infancy. Especially, fine-tuning for the right promoter strength to match the design specifications is often a lengthy and expensive experimental process. In particular, the relationship between signal fidelity and noise in synthetic promoter design can be a key parameter that can affect the healthy functioning of the engineered organism. To this end, based on our previous work on synthetic promoters for the E. coli PhoBR two-component system, we make a case for using chemical reaction network models for computational verification of various promoter designs before a lab implementation. We provide an analysis of this system with extensive stochastic simulations at a single-cell level to assess the signal fidelity and noise relationship. We then show how quasi-steady-state analysis via ordinary differential equations can be used to navigate between models with different levels of detail. We compare stochastic simulations with our full and reduced models by using various metrics for assessing noise. Our analysis suggests that strong promoters with low unbinding rates can act as control tools for filtering out intrinsic noise in the PhoBR context. Our results confirm that even simpler models can be used to determine promoters with specific signal to noise characteristics.

Design of synthetic promoters for controlled expression of therapeutic genes in retinal pigment epithelial cells.

Age-related macular degeneration (AMD) associated with dysfunction of retinal pigment epithelial (RPE) cells is the most common cause of untreatable blindness. To advance gene therapy as a viable treatment for AMD there is a need for technologies that enable controlled, RPE-specific expression of therapeutic genes. Here we describe design, construction and testing of compact synthetic promoters with a pre-defined transcriptional activity and RPE cell specificity. Initial comparative informatic analyses of RPE and photoreceptor (PR) cell transcriptomic data identified conserved and overrepresented transcription factor regulatory elements (TFREs, 8-19 bp) specifically associated with transcriptionally active RPE genes. Both RPE-specific TFREs and those derived from the generically active cytomegalovirus-immediate early (CMV-IE)promoter were then screened in vitro to identify sequence elements able to control recombinant gene transcription in model induced pluripotent stem (iPS)-derived and primary human RPE cells. Two libraries of heterotypic synthetic promoters varying in predicted RPE specificity and transcriptional activity were designed de novo using combinations of up to 20 discrete TFREs in series (323-602 bp) and their transcriptional activity in model RPE cells was compared to that of the endogenous BEST1 promoter (661 bp, plus an engineered derivative) and the highly active generic CMV-IE promoter (650 bp). Synthetic promoters with a highpredicted specificity, comprised predominantly of endogenous TFREs exhibited a range of activities up to 8-fold that of the RPE-specific BEST1 gene promoter. Moreover, albeit at a lower predicted specificity, synthetic promoter transcriptional activity in model RPE cells was enhanced beyond that of the CMV-IE promoter when viral elements were utilized in combination with endogenous RPE-specific TFREs, with a reduction in promoter size of 15%. Taken together, while our data reveal an inverse relationship between synthetic promoter activity and cell-type specificity, cell context-specific control of recombinant gene transcriptional activity may be achievable.

Synthetic promoter design in Escherichia coli based on a deep generative network.

Promoter design remains one of the most important considerations in metabolic engineering and synthetic biology applications. Theoretically, there are 450 possible sequences for a 50-nt promoter, of which naturally occurring promoters make up only a small subset. To explore the vast number of potential sequences, we report a novel AI-based framework for de novo promoter design in Escherichia coli. The model, which was guided by sequence features learned from natural promoters, could capture interactions between nucleotides at different positions and design novel synthetic promoters in silico. We combined a deep generative model that guides the search for artificial sequences with a predictive model to preselect the most promising promoters. The AI-designed promoters were optimized based on the promoter activity in E. coli and the predictive model. After two rounds of optimization, up to 70.8% of the AI-designed promoters were experimentally demonstrated to be functional, and few of them shared significant sequence similarity with the E. coli genome. Our work provided an end-to-end approach to the de novo design of novel promoter elements, indicating the potential to apply deep learning methods to de novo genetic element design.

CHO genome mining for synthetic promoter design

Synthetic promoters are an attractive alternative for use in mammalian hosts such as CHO cells as they can be designed de novo with user-defined functionalities. In this study, we describe and validate a method for bioprocess-directed design of synthetic promoters utilizing CHO genomic sequence information. We designed promoters with two objective features, (i) constitutive high-level recombinant gene transcription, and (ii) upregulated transcription under mild hypothermia or late-stage culture. CHO genes varying in transcriptional activity were selected based on a comparative analysis of RNA-Seq transcript levels in normal and biphasic cultures in combination with estimates of mRNA half-life from published genome scale datasets. Discrete transcription factor regulatory elements (TFREs) upstream of these genes were informatically identified and functionally screened in vitro to identify a subset of TFREs with the potential to support high activity recombinant gene transcription during biphasic cell culture processes. Two libraries of heterotypic synthetic promoters with varying TFRE combinations were then designed in silico that exhibited a maximal 2.5-fold increase in transcriptional strength over the CMV-IE promoter after transient transfection into host CHO-K1 cells. A subset of synthetic promoters was then used to create stable transfectant pools using CHO-K1 cells under glutamine synthetase selection. Whilst not achieving the maximal 2.5-fold increase in productivity over stable pools harboring the CMV promoter, all stably transfected cells utilizing synthetic promoters exhibited increased reporter production — up to 1.6-fold that of cells employing CMV, both in the presence or absence of intron A immediately downstream of the promoter. The increased productivity of stably transfected cells harboring synthetic promoters was maintained during fed-batch culture, with or without a transition to mild hypothermia at the onset of stationary phase. Our data exemplify that it is important to consider both host cell and intended bioprocess contexts as design criteria in the de novo construction of synthetic genetic parts for mammalian cell engineering.

Optimising nature for industry: Design of synthetic promoters for strain engineering of Trichoderma reesei

Optimising nature for industry: Design of synthetic promoters for strain engineering of Trichoderma reesei

Characterization of a strong and constitutive promoter from the Arabidopsis serine carboxypeptidase-like gene AtSCPL30 as a potential tool for crop transgenic breeding

BackgroundTransgenic technology has become an important technique for crop genetic improvement. The application of well-characterized promoters is essential for developing a vector system for efficient genetic transformation. Therefore, isolation and functional validation of more alternative constitutive promoters to the CaMV35S promoter is highly desirable.ResultsIn this study, a 2093-bp sequence upstream of the translation initiation codon ATG of AtSCPL30 was isolated as the full-length promoter (PD1). To characterize the AtSCPL30 promoter (PD1) and eight 5′ deleted fragments (PD2-PD9) of different lengths were fused with GUS to produce the promoter::GUS plasmids and were translocated into Nicotiana benthamiana. PD1-PD9 could confer strong and constitutive expression of transgenes in almost all tissues and development stages in Nicotiana benthamiana transgenic plants. Additionally, PD2-PD7 drove transgene expression consistently over twofold higher than the well-used CaMV35S promoter under normal and stress conditions. Among them, PD7 was only 456 bp in length, and its transcriptional activity was comparable to that of PD2-PD6. Moreover, GUS transient assay in the leaves of Nicotiana benthamiana revealed that the 162-bp (− 456~ − 295 bp) and 111-bp (− 294~ − 184 bp) fragments from the AtSCPL30 promoter could increase the transcriptional activity of mini35S up to 16- and 18-fold, respectively.ConclusionsAs a small constitutive strong promoter of plant origin, PD7 has the advantage of biosafety and reduces the probability of transgene silencing compared to the virus-derived CaMV35S promoter. PD7 would also be an alternative constitutive promoter to the CaMV35S promoter when multigene transformation was performed in the same vector, thereby avoiding the overuse of the CaMV35S promoter and allowing for the successful application of transgenic technology. And, the 162- and 111-bp fragments will also be very useful for synthetic promoter design based on their high enhancer activities.

Computational Sequence Design with R2oDNA Designer.

Recently developed DNA assembly methods have enabled the rapid and simultaneous assembly of multiple parts to create complex synthetic gene circuits. A number of groups have proposed the use of computationally designed orthogonal spacer sequences to guide the ordered assembly of parts using overlap-directed or homologous recombination-based methods. This approach is particularly useful for assembling multiple parts with repetitive elements. Orthogonal spacer sequences (sometimes called UNSs-unique nucleotide sequences) also have a number of other potential uses including in the design of synthetic promoters regulated by novel regulatory elements.

Design of Synthetic Promoters for Gene Circuits in Mammalian Cells.

Synthetic biology, the synthesis of engineering and biology, has rapidly matured and has dramatically increased the complexity of artificial gene circuits in recent years. The deployment of intricate synthetic gene circuits in mammalian cells requires the establishment of very precise and orthogonal control of transgene expression. In this chapter, we describe methods of modulating the expression of transgenes at the transcriptional level. Using cAMP-response element-binding protein (CREB)-dependent promoters as examples, a tool for the precise tuning of gene expression by using different core promoters and by varying the binding affinity of transcription factor operator sites is described.

Transcriptomics-Guided Design of Synthetic Promoters for a Mammalian System.

Despite recent advances in improving titers for therapeutic proteins such as antibodies to the 10 g/L scale, these high yields can only be achieved in select mammalian hosts. Regardless of the host or product, strong promoters are required to obtain high levels of transgene expression. However, the promoters employed to drive this expression are rather limited in variety and are usually either viral-derived or screened empirically during vector design. To begin to move away from viral parts, we employed a more systematic approach to identify and design new synthetic promoters using endogenous elements. To do so, we established a workflow to design these elements by (1) analyzing the transcriptomics profile of a specific cell line under a desired, representative cell culture condition, (2) identifying key genetic motifs using bioinformatics that can be used to rationally construct synthetic promoters, (3) building synthetic promoters using conventional DNA synthesis and molecular biology techniques, and (4) evaluating the performance of these synthetic promoters using model proteins. The resulting promoters perform comparably to the hCMV IE promoter variants tested, but with endogenous components. During this design-build-test cycle we also investigated the underlying design rules for transcription factor binding site arrangement in synthetic promoters. Overall, this approach of using an "omics-guided" workflow for designing synthetic promoters facilitates the construction of high expression vectors for immediate use in current production hosts.

Synthetic promoter design for new microbial chassis.

The judicious choice of promoter to drive gene expression remains one of the most important considerations for synthetic biology applications. Constitutive promoter sequences isolated from nature are often used in laboratory settings or small-scale commercial production streams, but unconventional microbial chassis for new synthetic biology applications require well-characterized, robust and orthogonal promoters. This review provides an overview of the opportunities and challenges for synthetic promoter discovery and design, including molecular methodologies, such as saturation mutagenesis of flanking regions and mutagenesis by error-prone PCR, as well as the less familiar use of computational and statistical analyses for de novo promoter design.

A cis-regulatory sequence from a short intergenic region gives rise to a strong microbe-associated molecular pattern-responsive synthetic promoter.

The high gene density in Arabidopsis thaliana leaves only relatively short intergenic regions for potential cis-regulatory sequences. To learn more about the regulation of genes harbouring only very short upstream intergenic regions, this study investigates a recently identified novel microbe-associated molecular pattern (MAMP)-responsive cis-sequence located within the 101bp long intergenic region upstream of the At1g13990 gene. It is shown that the cis-regulatory sequence is sufficient for MAMP-responsive reporter gene activity in the context of its native promoter. The 3' UTR of the upstream gene has a quantitative effect on gene expression. In context of a synthetic promoter, the cis-sequence is shown to achieve a strong increase in reporter gene activity as a monomer, dimer and tetramer. Mutation analysis of the cis-sequence determined the specific nucleotides required for gene expression activation. In transgenic A. thaliana the synthetic promoter harbouring a tetramer of the cis-sequence not only drives strong pathogen-responsive reporter gene expression but also shows a high background activity. The results of this study contribute to our understanding how genes with very short upstream intergenic regions are regulated and how these regions can serve as a source for MAMP-responsive cis-sequences for synthetic promoter design.