Customizing cellular signal processing by synthetic multi-level regulatory circuits

Collaborative light-off and light-on bacterial luciferase biosensors: Innovative approach for rapid contaminant detection

Bioluminescence-based light-off and light-on biosensors are widely used in environmental monitoring due to their rapid, cost-effective, real-time, and easy operation. However, stability and sensitivity issues in detecting real samples remain challenging. This study introduces a novel approach utilizing combined light-off and light-on biosensors for rapid and sensitive contaminants detection within 45 min in real samples. First, a recombinase-based state machine (RSM) was used to construct light-off RSM biosensors (light-off RSMs) for continuously strong light emission and overexpressing of outer membrane porins OmpC and OmpF enhanced their sensitivity to toxic contaminants. Additionally, a new experimental protocol containing the cell culture, collection, preparation, and the contaminant measurement was established for bioluminescent light-on whole-cell biosensors (light-on WCBs) in contaminant detection, initially developed using cadmium (Cd) and later applied to lead (Pb) and mercury (Hg). For Cd light-on WCBs, overexpressing OmpC and knocking out the contaminant exporter ZntA enhanced the accumulation of intracellular Cd in WCB cells, resulting in increased sensitivity to low concentrations of contaminants. Further, metabolic modifications in light-on WCBs significantly boosted luminescence. These genetic modified bacterial strains, whether freshly harvested or as freeze-dried powders, showed rapid luminescent responses to contaminants in the picomolar (pM) to nanomolar (nM) range within 45 min. Finally, the combined use of light-off RSMs and light-on WCBs successfully assessed toxicity and detected specific contaminants in real environmental and food samples. These strategies could be applied to developing other bacterial luciferase-based biosensors and even other types such as colorimetric biosensors.

Mechanism and improvement of yeast tolerance to biomass-derived inhibitors: A review

Lignocellulosic biomass is regarded as a potentially valuable second-generation biorefinery feedstock. Yeast has the ability to metabolize this substrate and convert it into fuel ethanol and an array of other chemical products. Nevertheless, during the pretreatment of lignocellulosic biomass, inhibitors (furanaldehydes, carboxylic acids, phenolic compounds, etc.) are generated, which impede the growth and metabolic activities of yeast cells. Consequently, developing yeast strains with enhanced tolerance to these inhibitors is a crucial technological objective, as it can significantly enhance the efficiency of lignocellulosic biorefineries. This review provides a concise overview of the process of inhibitor generation and the detrimental effects of these inhibitors on yeast. It also summarizes the current state of research on the mechanisms of yeast tolerance to these inhibitors, focusing specifically on recent advances in enhancing yeast tolerance to these inhibitors by rational and non-rational strategies. Finally, it discusses the current challenges and future research directions.

Developing Quorum Sensing-Based Collaborative Dynamic Control System in Halomonas TD01

Dynamic control exhibits increasing significance in microbial cell factory engineering by precisely manipulating gene expression over time and levels. However, the practical uses of most dynamic control tools still remain challenging because of poor scale-up robustness, especially for non-model chassis. Herein, a quorum sensing (QS)-based collaborative dynamic control system is constructed in Halomonas TD by regrouping two orthogonal quorum-sensing modules into two cell types, namely cell-A harboring cinR-luxI and cell-B harboring luxR-cinI together with sfGFP driven by Pcin and Plux promoters, respectively. Effective gene expression control with over 15-time dynamic foldchange is achieved by mixing cells A and B at different ratios and time points in a lab-scale fed-batch study. Besides, dynamic inhibitory and amplified control is further developed by cascading CRISPRi/dCas9 system and MmP1 RNA polymerase, respectively, yielding up to 80% repression efficiency and 30-time amplification foldchange under high cell density fermentation. Moreover, 500 mg L-1 indigo and 4.7 g L-1 superoxide dismutase (SOD) are obtained by engineered Halomonas using QS-based control tools in the fed-batch study, showing 1.5- and 1.0-fold higher, respectively, than the yields by recombinants induced by IPTG. This study exemplifies a standardized and streamlined inducer-free dynamic control pattern for metabolic engineering with promising robustness in scale-up fermentation contexts.

Synthetic Engineering of Microbes for Production of Terpenoid Food Ingredients

Terpenoids are a class of chemicals comprising many food ingredient chemicals. Synthetic biology and metabolic engineering have been performed to produce microbial cell factories for their production. For improved production of various terpenoid ingredients, heterologous synthetic pathways can be optimized at multiple dimensions. Optimizing chassis precursor supply and overcoming the host's inherent metabolic rigidity are crucial for enhancing overall efficiency of heterologous terpenoid production. Integrating synthetic regulatory circuits can facilitate the staged programming and precise optimization of heterologous and endogenous metabolism. Engineering long-term genetic and metabolic stability is essential for the successful scale-up of commercial production. Maximizing efficiency in food terpenoid production will rely on interdisciplinary synthetic and engineering biology tools to advance state-of-the-art capabilities for the streamlined design and construction of complex genotypes in microbial chassis.

Why cellular computations challenge our design principles

Biological systems inherently perform computations, inspiring synthetic biologists to engineer biological systems capable of executing predefined computational functions for diverse applications. Typically, this involves applying principles from the design of conventional silicon-based computers to create novel biological systems, such as genetic Boolean gates and circuits. However, the natural evolution of biological computation has not adhered to these principles, and this distinction warrants careful consideration. Here, we explore several concepts connecting computational theory, living cells, and computers, which may offer insights into the development of increasingly sophisticated biological computations. While conventional computers approach theoretical limits, solving nearly all problems that are computationally solvable, biological computers have the opportunity to outperform them in specific niches and problem domains. Crucially, biocomputation does not necessarily need to scale to rival or replicate the capabilities of electronic computation. Rather, efforts to re-engineer biology must recognise that life has evolved and optimised itself to solve specific problems using its own principles. Consequently, intelligently designed cellular computations will diverge from traditional computing in both implementation and application.

Integrase enables synthetic intercellular logic via bacterial conjugation

Integrases have been widely used in synthetic biology for genome engineering and genetic circuit design. They mediate DNA recombination to alter the genotypes of single cell lines in vivo, with these changes being permanently recorded and inherited via vertical gene transfer. However, integrase-based intercellular DNA messaging and its regulation via horizontal gene transfer remain underexplored. Here, we introduce a versatile strategy to design, build, and test integrase-based intercellular DNA messaging through bacterial conjugation. First, we screened conjugative plasmids and recipient cells for efficient conjugation. Then, we established a layered framework to describe the interactions among hierarchical E. coli strains and implemented dual-layer Boolean logic gates to demonstrate intercellular DNA messaging and management. Finally, we expanded the design to include four-layer single-processing pathways and dual-layer multi-processing systems. This strategy advances intercellular DNA messaging, hierarchical signal processing, and the application of integrase in systems and synthetic biology.

Engineering intercellular communication using M13 phagemid and CRISPR-based gene regulation for multicellular computing in Escherichia coli

Engineering multicellular consortia, where information processing is distributed across specialized cell types, offers a promising strategy for implementing sophisticated biocomputing systems. However, a major challenge remains in establishing orthogonal intercellular communication, or "wires," within synthetic bacterial consortia. In this study, we address this bottleneck by integrating phagemid-mediated intercellular communication with CRISPR-based gene regulation for multicellular computing in synthetic E. coli consortia. We achieve intercellular communication with high sensitivity by regulating the transfer of single guide RNAs (sgRNAs) encoded on M13 phagemids from sender to receiver cells. Once inside the receiver cells, the transferred sgRNAs mediate gene regulation via CRISPR interference. Leveraging this approach, we successfully constructed one-, two-, and four-input logic gates. Our work expands the toolkit for intercellular communication and paves the way for complex information processing in synthetic microbial consortia, with diverse potential applications, including biocomputing, biosensing, and biomanufacturing.

BGC heteroexpression strategy for production of novel microbial secondary metabolites

Biosynthetic gene clusters (BGCs) in microbial genomes play a crucial role in the biosynthesis of diverse secondary metabolites (SMs) with pharmaceutical potential. However, most BGCs remain silent under conventional conditions, resulting in the frequently repeated discovery of known SMs. Fortunately, in the past two decades, the heterologous expression of BGCs in genetically tractable hosts has emerged as a powerful strategy to awaken microbial metabolic pathways for making novel microbial SMs. In this review, we comprehensively delineated the development and application of this strategy, highlighting various BGC cloning and assembly techniques and their technical characteristics. We also summarized 519 novel SMs from BGC hetero-expression-derived strains and described their occurrence, bioactivity, mode of action, and biosynthetic logic. Lastly, current challenges and future perspectives for developing more efficient BGC hetero-expression strategies were discussed in this review.

Recent advances in genome mining and synthetic biology for discovery and biosynthesis of natural products

Natural products have long served as critical raw materials in chemical and pharmaceutical manufacturing, primarily which can provide superior scaffolds or intermediates for drug discovery and development. Over the last century, natural products have contributed to more than a third of therapeutic drug production. However, traditional methods of producing drugs from natural products have become less efficient and more expensive over the past few decades. The combined utilization of genome mining and synthetic biology based on genome sequencing, bioinformatics tools, big data analytics, genetic engineering, metabolic engineering, and systems biology promises to counter this trend. Here, we reviewed recent (2020-2023) examples of genome mining and synthetic biology used to resolve challenges in the production of natural products, such as less variety, poor efficiency, and low yield. Additionally, the emerging efficient tools, design principles, and building strategies of synthetic biology and its application prospects in NPs synthesis have also been discussed.

Biological Switches: Past and Future Milestones of Transcription Factor-Based Biosensors

Since the description of the lac operon in 1961 by Jacob and Monod, transcriptional regulation in prokaryotes has been studied extensively and has led to the development of transcription factor-based biosensors. Due to the broad variety of detectable small molecules and their various applications across biotechnology, biosensor research and development have increased exponentially over the past decades. Throughout this period, key milestones in fundamental knowledge, synthetic biology, analytical tools, and computational learning have led to an immense expansion of the biosensor repertoire and its application portfolio. Over the years, biosensor engineering became a more multidisciplinary discipline, combining high-throughput analytical tools, DNA randomization strategies, forward engineering, and advanced protein engineering workflows. Despite these advances, many obstacles remain to fully unlock the potential of biosensor technology. This review analyzes the timeline of key milestones on fundamental research (1960s to 2000s) and engineering strategies (2000s onward), on both the DNA and protein level of biosensors. Moreover, insights into the future perspectives, remaining hurdles, and unexplored opportunities of this promising field are discussed.

Blue-Purple evaluation: Chromoproteins facilitate the identification of BioBrick compatibility

Synthetic BioBricks introduce novel capabilities to manipulate genetic information, direct transcription-translation processes, and program cellular behaviors in living organisms. To maintain the stability and functionality of synthetic BioBricks, assembled DNA fragments should be mutually compatible without inducing negative effects such as metabolic burden or cellular toxicity in host cells. However, a simple, rapid, and reliable method to evaluate BioBrick compatibility remains to be developed. In this study, we report BP (Blue/Purple, Ban/Pick) evaluation, a method utilizing chromoproteins to facilitate the identification of BioBrick compatibility in one-pot reactions. By visualizing and quantifying the ratio of blue to purple Escherichia coli (E. coli) colonies on LB-agar plates, we can easily validate the compatibility of desired BioBrick constructions. To demonstrate our design, we characterized BioBrick assemblies with antitoxin-toxin pair ccdA-ccdB, lysis protein E, or heterologous protein sfGFP. Among these, we successfully identified several compatible assemblies. We anticipate that BP evaluation will enhance biotechnological assessments of BioBrick compatibility in vivo and expand the application of chromoproteins in synthetic biology.

Genetically Expressed RNA Strand Displacement for Cellular Manipulation

Nucleic acid strand displacement is a pivotal concept in dynamic nucleic acid nanotechnologies, which has been extensively investigated and applied across various fields. Compared with DNA systems, the genetically expressed RNA strand displacement technology offers unique advantages for construction of genetic circuits in living cells, where RNA expression and modulation may be seamlessly integrated into the genomic network for long-term and stable regulations of diversified biological functionalities. This Concept paper provides an overview of previous efforts on developments of synthetic gene circuits through utilization of RNA strand displacement, including our endeavors in this field. Moreover, future prospects, potential applications and challenges of the genetically expressed RNA strand displacement technology are also discussed.

Genetically engineered bacteria as inflammatory bowel disease therapeutics

Inflammatory bowel disease (IBD) is a chronic and recurrent disease caused by immune response disorders that disrupt the intestinal lumen symbiotic ecosystem and dysregulate mucosal immune functions. Current therapies available for IBD primarily focus on symptom management, making early diagnosis and prompt intervention challenging. The development of genetically engineered bacteria using synthetic biology presents a new strategy for addressing these challenges. In this review, we present recent breakthroughs in the field of engineered bacteria for the treatment and detection of IBD and describe how bacteria can be genetically modified to produce therapeutic molecules or execute diagnostic functions. In particular, we discuss the challenges faced in translating live bacterial therapeutics from bacterial design to delivery strategies for further clinical applications.

A precise and sustainable doxycycline-inducible cell line development platform for reliable mammalian cell engineering with gain-of-function mutations

For mammalian synthetic biology research, multiple orthogonal and tunable gene expression systems have been developed, among which the tetracycline (Tet)-inducible system is a key tool for gain-of-function mutations. Precise and long-lasting regulation of genetic circuits is necessary for the effective use of these systems in genetically engineered stable cell lines. However, current cell line development strategies, which depend on either random or site-specific integration along with antibiotic selection, are unpredictable and unsustainable, limiting their widespread use. To overcome these issues, we aimed to establish a Robust Overexpression via Site-specific integration of Effector (ROSE) system, a clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR-associated protein 9-mediated streamlined Tet-On3G-inducible master cell line (MCL) development platform. ROSE MCLs equipped with a landing pad facilitated the transcriptional regulation of various effector genes via recombinase-mediated cassette exchange. Long-term investigation revealed that the modular design of genetic payloads and integration sites significantly affected the induction capacity and stability, with ROSE MCLs exhibiting exceptional induction performance. To demonstrate the versatility of our platform, we explored its efficiency for the precise regulation of selection stringency, manufacturing of therapeutic antibodies with tunable expression levels and timing, and transcription factor engineering. Overall, this study demonstrated the effectiveness and reliability of the ROSE platform, highlighting its potential for various biological and biotechnological applications.

The Molecular Basis of Differentiation Wave Activity in Embryogenesis

As development varies greatly across the tree of life, it may seem difficult to suggest a model that proposes a single mechanism for understanding collective cell behaviors and the coordination of tissue formation. Here we propose a mechanism called differentiation waves, which unify many disparate results involving developmental systems from across the tree of life. We demonstrate how a relatively simple model of differentiation proceeds not from function-related molecular mechanisms, but from so-called differentiation waves. A phenotypic model of differentiation waves is introduced, and its relation to molecular mechanisms is proposed. These waves contribute to a differentiation tree, which is an alternate way of viewing cell lineage and local action of the molecular factors. We construct a model of differentiation wave-related molecular mechanisms (genome, epigenome, and proteome) based on bioinformatic data from the nematode Caenorhabditis elegans. To validate this approach across different modes of development, we evaluate protein expression across different types of development by comparing Caenorhabditis elegans with several model organisms: fruit flies (Drosophila melanogaster), yeast (Saccharomyces cerevisiae), and mouse (Mus musculus). Inspired by gene regulatory networks, two Models of Interactive Contributions (fully-connected MICs and ordered MICs) are used to suggest potential genomic contributions to differentiation wave-related proteins. This, in turn, provides a framework for understanding differentiation and development.

Biocomputing in plants, from proof of concept to application

In response to the challenges of climate change and the transition toward sustainability, synthetic biology offers innovative solutions. Most current plant synthetic biology applications rely on the constitutive expression of enzymes and regulators. To engineer plant phenotypes tuneable to environmental conditions and plant cellular states, the integration of multiple signals in synthetic circuits is required. While most circuits are developed in model organisms, numerous tools were recently developed to implement biocomputation in plant synthetic circuits. I presented in this review the tools and design methods for logic circuit implementation in plants. I highlighted recent and potential applications of those circuits to understand and engineer plant interaction with the environment, development, and metabolic pathways.

Living Synthelectronics: A New Era for Bioelectronics Powered by Synthetic Biology

Bioelectronics, which converges biology and electronics, has attracted great attention due to their vital applications in human-machine interfaces. While traditional bioelectronic devices utilize nonliving organic and/or inorganic materials to achieve flexibility and stretchability, a biological mismatch is often encountered because human tissues are characterized not only by softness and stretchability but also by biodynamic and adaptive properties. Recently, a notable paradigm shift has emerged in bioelectronics, where living cells, and even viruses, modified via gene editing within synthetic biology, are used as core components in a new hybrid electronics paradigm. These devices are defined as "living synthelectronics," and they offer enhanced potential for interfacing with human tissues at informational and substance exchange levels. In this Perspective, the recent advances in living synthelectronics are summarized. First, opportunities brought to electronics by synthetic biology are briefly introduced. Then, strategic approaches to designing and making electronic devices using living cells/viruses as the building blocks, sensing components, or power sources are reviewed. Finally, the challenges faced by living synthelectronics are raised. It is believed that this paradigm shift will significantly contribute to the real integration of bioelectronics with human tissues.

Genetic Parts and Enabling Tools for Biocircuit Design

Synthetic biology aims to engineer biological systems for customized tasks through the bottom-up assembly of fundamental building blocks, which requires high-quality libraries of reliable, modular, and standardized genetic parts. To establish sets of parts that work well together, synthetic biologists created standardized part libraries in which every component is analyzed in the same metrics and context. Here we present a state-of-the-art review of the currently available part libraries for designing biocircuits and their gene expression regulation paradigms at transcriptional, translational, and post-translational levels in Escherichia coli. We discuss the necessary facets to integrate these parts into complex devices and systems along with the current efforts to catalogue and standardize measurement data. To better display the range of available parts and to facilitate part selection in synthetic biology workflows, we established biopartsDB, a curated database of well-characterized and useful genetic part and device libraries with detailed quantitative data validated by the published literature.

Recent Advances in Microbial Metabolic Engineering for Production of Natural Phenolic Acids

Phenolic acids are important natural bioactive compounds with varied physiological functions. They are extensively used in food, pharmaceutical, cosmetic, and other chemical industries and have attractive market prospects. Compared to plant extraction and chemical synthesis, microbial fermentation for phenolic acid production from renewable carbon sources has significant advantages. This review focuses on the structural information, physiological functions, current applications, and biosynthesis pathways of phenolic acids, especially advances in the development of metabolically engineered microbes for the production of phenolic acids. This review provides useful insights concerning phenolic acid production through metabolic engineering of microbial cell factories.