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The iteration of biotechnology and the transformative development of biomanufacturing driven by synthetic biology are drawing the blueprint for the future bioeconomy. Around this strategic goal, in the past 10 years, Shenzhen has collaborated with relevant national departments and has taken a series of measures to initially create a sound ecological and innovative chain for synthetic biology and bioindustry. This study summarizes these 10 measures into three major categories: the construction of new R&D institutions and innovation bases, the implementation of technology transformation carriers and synthetic biology industry park, and the measures to encourage students' innovative spirit. The successful implementation of these measures may provide a fresh Shenzhen model for developing new quality production force. [ABSTRACT FROM AUTHOR]

Synthetic cells can advance immunotherapy, offering innovative approaches to understanding and enhancing immune responses. This review article delves into the advancements and potential of synthetic cell technologies in immunology, emphasizing their role in understanding and manipulating immune functions. Recent progress in understanding vertebrate immune systems and the challenges posed by diseases highlight the need for innovative research methods, complementing the analysis of multidimensional datasets and genetic engineering. Synthetic immune cell engineering aims to simplify the complexity of immunological systems by reconstructing them in a controlled setting. This approach, alongside high‐throughput strategies, facilitates systematic investigations into immunity and the development of novel treatments. The article reviews synthetic cell technologies, focusing on their alignment with the three laws of immunity: universality, tolerance, and appropriateness. It explores the integration of synthetic cell modules to mimic processes such as controlled T‐cell activation, bacteria engulfment and elimination, or cellular maturation into desirable phenotypes. Together, such advancements expand the toolbox for understanding and manipulating immune functions. Synthetic cell technologies stand at the innovation crossroads in immunology, promising to illuminate fundamental immune system principles and open new avenues for research and therapy. [ABSTRACT FROM AUTHOR]

Cell-free protein synthesis (CFPS) has emerged as a powerful tool for protein production, with applications ranging from basic research to biotechnology and pharmaceutical development. However, enhancing the efficiency of CFPS systems remains a crucial challenge for realizing their full potential. Computational strategies offer promising avenues for optimizing CFPS efficiency by providing insights into complex biological processes and enabling rational design approaches. This review provides a comprehensive overview of the computational approaches aimed at enhancing CFPS efficiency. The introduction outlines the significance of CFPS and the role of computational methods in addressing efficiency limitations. It discusses mathematical modeling and simulation-based approaches for predicting protein synthesis kinetics and optimizing CFPS reactions. The review also delves into the design of DNA templates, including codon optimization strategies and mRNA secondary structure prediction tools, to improve protein synthesis efficiency. Furthermore, it explores computational techniques for engineering cell-free transcription and translation machinery, such as the rational design of expression systems and the predictive modeling of ribosome dynamics. The predictive modeling of metabolic pathways and the energy utilization in CFPS systems is also discussed, highlighting metabolic flux analysis and resource allocation strategies. Machine learning and artificial intelligence approaches are being increasingly employed for CFPS optimization, including neural network models, deep learning algorithms, and reinforcement learning for adaptive control. This review presents case studies showcasing successful CFPS optimization using computational methods and discusses applications in synthetic biology, biotechnology, and pharmaceuticals. The challenges and limitations of current computational approaches are addressed, along with future perspectives and emerging trends, such as the integration of multi-omics data and advances in high-throughput screening. The conclusion summarizes key findings, discusses implications for future research directions and applications, and emphasizes opportunities for interdisciplinary collaboration. This review offers valuable insights and prospects regarding computational strategies to enhance CFPS efficiency. It serves as a comprehensive resource, consolidating current knowledge in the field and guiding further advancements. [ABSTRACT FROM AUTHOR]

Punicic acid (PuA) is a conjugated fatty acid with a wide range of nutraceutical properties naturally present in pomegranate seed oil. To meet the rising demand for pomegranate seed oil, a single-cell oil enriched in PuA provides a sustainable biomass-derived alternative. This study describes the production of a PuA-enriched single-cell oil through the engineering of the red yeast Rhodotorula toruloides grown in glucose and a low-cost substrate, crude glycerol. The gene for Punica granatum fatty acid conjugase, PgFADX, was randomly integrated into the genome of R. toruloides without disrupting the carotenoid synthesis. In shake flask studies, the effects of three promoters (PPGI1, PNAR1, and PPMA1) on PuA production were evaluated. PuA titers of 105.77 mg/L and 72.81 mg/L were obtained from engineered cells expressing PgFADX from the PPMA1 promoter cultivated for 72 h in glucose and for 168 h in crude glycerol, respectively. Furthermore, the detailed lipid analysis revealed a high enrichment PuA in the triacylglycerol lipid structures, even without substantial modifications to the metabolic pathways. This report demonstrates the high potential of R. toruloides in the upcycling of a low-cost substrate, crude glycerol, into a value-added product such as PuA. The findings support the feasibility of using engineered R. toruloides for sustainable production of PuA-enriched single-cell oil. [ABSTRACT FROM AUTHOR]

Simple Summary: Rice production is strongly affected by environmental stresses such as drought, heat and salt. Rice plants have developed intricate molecular mechanisms to deal with these challenges. Researchers have identified crucial genes, proteins and metabolic pathways involved in these responses through transcriptomic and proteomic studies. Understanding these molecular mechanisms can help in developing new stress-resistant varieties, thus ensuring stable production under adverse environmental conditions. This review aims to provide a straightforward summary of the progress in understanding the molecular mechanisms of rice's response to various environmental stresses through transcriptomic and proteomic studies. Rice (Oryza sativa L.) is grown nearly worldwide and is a staple food for more than half of the world's population. With the rise in extreme weather and climate events, there is an urgent need to decode the complex mechanisms of rice's response to environmental stress and to breed high-yield, high-quality and stress-resistant varieties. Over the past few decades, significant advancements in molecular biology have led to the widespread use of several omics methodologies to study all aspects of plant growth, development and environmental adaptation. Transcriptomics and proteomics have become the most popular techniques used to investigate plants' stress-responsive mechanisms despite the complexity of the underlying molecular landscapes. This review offers a comprehensive and current summary of how transcriptomics and proteomics together reveal the molecular details of rice's response to environmental stresses. It also provides a catalog of the current applications of omics in comprehending this imperative crop in relation to stress tolerance improvement and breeding. The evaluation of recent advances in CRISPR/Cas-based genome editing and the application of synthetic biology technologies highlights the possibility of expediting the development of rice cultivars that are resistant to stress and suited to various agroecological environments. [ABSTRACT FROM AUTHOR]

The broad range of applications offered by synthetic biology and bioengineering has revolutionized the ability to design and redesign microorganisms to express specific functions, overcoming the limitations of natural biological systems. This advancement has been achieved through the use of mathematical models and genetic circuits, enabling the precise design of synthetic microbial communities. These are defined as artificially created communities through co-cultures of selected species that share similar characteristics and environments. Reprogramming an organism is carried out by inserting synthetic genetic circuits, which are designed in a controlled manner to obtain biotechnological products beneficial to humans, their health, and the environment. The potential applications in medicine, bioremediation, industry, and pharmaceuticals make the research of synthetic microbial communities a promising field for the future. However, the implementation of synthetic microbial communities carries potential risks, such as horizontal gene transfer and possible environmental impacts. It is crucial to carefully evaluate these functions and risks, considering biocontainment and the associated ethical and ecological implications. [ABSTRACT FROM AUTHOR]

Proteins are synthesized within ribosomes through the polymerization of amino acids (AAs). This process requires prior activation of AAs through aminoacylation that attaches them to their corresponding transfer RNAs (tRNAs). Within cells, this attachment is facilitated by aminoacyl‐tRNA synthetase, resulting in a tRNA:AA conjugate. A set of ribozymes developed to acylate tRNA with non‐canonical substrates enables this process outside the confines of living cells, thereby facilitating the synthesis of novel bio‐based products. In modern biotechnology, aminoacylating ribozymes contribute to the production of innovative bio‐based materials bearing functional non‐canonical chemical substrates (NCSs) and fill the gaps in synthesizing unique polymeric backbones, extending the scope beyond traditional peptide bonds. This review summarizes current understanding of flexizymes at the molecular level and their application in generating exceptional polymeric backbones through ribosome‐mediated synthesis in vitro. [ABSTRACT FROM AUTHOR]

Neuromorphic computing has the potential to achieve the requirements of the next-generation artificial intelligence (AI) systems, due to its advantages of adaptive learning and parallel computing. Meanwhile, biocomputing has seen ongoing development with the rise of synthetic biology, becoming the driving force for new generation semiconductor synthetic biology (SemiSynBio) technologies. DNA-based biomolecules could potentially perform the functions of Boolean operators as logic gates and be used to construct artificial neural networks (ANNs), providing the possibility of executing neuromorphic computing at the molecular level. Herein, we briefly outline the principles of neuromorphic computing, describe the advances in DNA computing with a focus on synthetic neuromorphic computing, and summarize the major challenges and prospects for synthetic neuromorphic computing. We believe that constructing such synthetic neuromorphic circuits will be an important step toward realizing neuromorphic computing, which would be of widespread use in biocomputing, DNA storage, information security, and national defense. [ABSTRACT FROM AUTHOR]

Streptomyces offer a wealth of naturally occurring compounds with diverse structures, many of which possess significant pharmaceutical values. However, new product exploration and increased yield of specific compounds in Streptomyces have been technically challenging due to their slow growth rate, complex culture conditions and intricate genetic backgrounds. In this study, we screened dozens of Streptomyces strains inhabiting in a plant rhizosphere for fast-growing candidates, and further employed CRISPR/Cas-based engineering techniques for stepwise refinement of a particular strain, Streptomyces sp. A-14 that harbors a 7.47 Mb genome. After strategic removal of nonessential genomic regions and most gene clusters, we reduced its genome size to 6.13 Mb, while preserving its growth rate to the greatest extent. We further demonstrated that cleaner metabolic background of this engineered strain was well suited for the expression and characterization of heterologous gene clusters, including the biosynthetic pathways of actinorhodin and polycyclic tetramate macrolactams. Moreover, this streamlined genome is anticipated to facilitate directing the metabolic flux towards the production of desired compounds and increasing their yields. [ABSTRACT FROM AUTHOR]

Strengthening the expression level of integrated genes on the genome is crucial for consistently expressing key enzymes in microbial cell factories for efficient bioproduction in synthetic biology. In comparison to plasmidbased multi-copy expression, the utilization of chromosomal multi-copy genes offers increased stability of expression level, diminishes the metabolic burden on host cells, and enhances overall genetic stability. In this study, we developed the “BacAmp”, a stabilized gene integration expression and copy number amplification system for high-level expression in Bacillus subtilis, which was achieved by employing a combination of repressor and non-natural amino acids (ncAA)-dependent expression system to create a reversible switch to control the key gene recA for homologous recombination. When the reversible switch is turned on, genome editing and gene amplification can be achieved. Subsequently, the reversible switch was turned off therefore stabilizing the gene copy number. The stabilized gene amplification system marked by green fluorescent protein, achieved a 3-fold increase in gene expression by gene amplification and maintained the average gene copy number at 10 after 110 generations. When we implemented the gene amplification system for the regulation of N-acetylneuraminic acid (NeuAc) synthesis, the copy number of the critical gene increased to an average of 7.7, which yielded a 1.3-fold NeuAc titer. Our research provides a new avenue for gene expression in synthetic biology and can be applied in metabolic engineering in B. subtilis. [ABSTRACT FROM AUTHOR]

Terpenoids have tremendous biological activities and are widely employed in food, healthcare and pharmaceutical industries. Using synthetic biology to product terpenoids from microbial cell factories presents a promising alternative route compared to conventional methods such as chemical synthesis or phytoextraction. The red yeast Rhodotorula mucilaginosa has been widely studied due to its natural production capacity of carotenoid and lipids, indicating a strong endogenous isoprene pathway with readily available metabolic intermediates. This study constructed several engineered strains of R. mucilaginosa with the aim of producing different terpenoids. Monoterpene α-terpineol was produced by expressing the α-terpineol synthase from Vitis vinifera. The titer of α-terpineol was further enhanced to 0.39 mg/L by overexpressing the endogenous ratelimiting gene of the MVA pathway. Overexpression of α-farnesene synthase from Malus domestica, in combination with MVA pathway rate-limiting gene resulted in significant increase in α-farnesene production, reaching a titer of 822 mg/L. The carotenoid degradation product β-ionone was produced at a titer of 0.87 mg/L by expressing the β-ionone synthase from Petunia hybrida. This study demonstrates the potential of R. mucilaginosa as a platform host for the direct biosynthesis of various terpenoids and provides insights for further development of such platforms. [ABSTRACT FROM AUTHOR]

Gene circuits allow cells to carry out complex functions such as the precise regulation of biological metabolic processes. In this study, we combined, in the yeast S. cerevisiae, genetic regulatory elements with the enzymatic reactions of the human CYP2C9 and its redox partner CPR on luciferin substrates and diclofenac. S. cerevisiae cells were permeabilized and used as enzyme bags in order to host these metabolic reactions. We engineered three different (genetic)-enzymatic basic Boolean gates (YES, NOT, and N-IMPLY). In the YES and N-IMPLY gates, human CYP2C9 was expressed under the galactose-inducible GAL1 promoter. The carbon monoxide releasing molecule CORM-401 was used as an input in the NOT and N-IMPLY gates to impair CYP2C9 activity through inhibition of the Fe+2 - heme prosthetic group in the active site of the human enzyme. Our study provides a new approach in designing synthetic bio-circuits and optimizing experimental conditions to favor the heterologous expression of human drug metabolic enzymes over their endogenous counterparts. This new approach will help study precise metabolic attributes of human P450s. [ABSTRACT FROM AUTHOR]

There has been extensive research on the biological recycling of PET waste to address the issue of plastic waste pollution, with ethylene glycol (EG) being one of the main components recovered from this process. Therefore, finding ways to convert PET monomer EG into high-value products is crucial for effective PET waste recycling. In this study, we successfully engineered Escherichia coli to utilize EG and produce glycolic acid (GA), expecting to facilitate the biological recycling of PET waste. The engineered E. coli, able to utilize 10 g/L EG to produce 1.38 g/L GA within 96 h, was initially constructed. Subsequently, strategies based on overexpression of key enzymes and knock-out of the competing pathways are employed to enhance EG utilization along with GA biosynthesis. An engineered E. coli, characterized by the highest GA production titer and substrate conversion rate, was obtained. The GA titer increased to 5.1 g/L with a yield of 0.75 g/g EG, which is the highest level in the shake flake experiments. Transcriptional level analysis and metabolomic analysis were then conducted, revealing that overexpression of key enzymes and knock-out of the competing pathways improved the metabolic flow in the EG utilization. The improved metabolic flow also leads to accelerated synthesis and metabolism of amino acids. [ABSTRACT FROM AUTHOR]

Predicting the strength of promoters and guiding their directed evolution is a crucial task in synthetic biology. This approach significantly reduces the experimental costs in conventional promoter engineering. Previous studies employing machine learning or deep learning methods have shown some success in this task, but their outcomes were not satisfactory enough, primarily due to the neglect of evolutionary information. In this paper, we introduce the Chaos-Attention net for Promoter Evolution (CAPE) to address the limitations of existing methods. We comprehensively extract evolutionary information within promoters using merged chaos game representation and process the overall information with modified DenseNet and Transformer structures. Our model achieves state-of-the-art results on two kinds of distinct tasks related to prokaryotic promoter strength prediction. The incorporation of evolutionary information enhances the model's accuracy, with transfer learning further extending its adaptability. Furthermore, experimental results confirm CAPE's efficacy in simulating in silico directed evolution of promoters, marking a significant advancement in predictive modeling for prokaryotic promoter strength. Our paper also presents a user-friendly website for the practical implementation of in silico directed evolution on promoters. The source code implemented in this study and the instructions on accessing the website can be found in our GitHub repository https://github.com/BobYHY/CAPE. [ABSTRACT FROM AUTHOR]

Introduction: Rapid advances in biotechnologies and transdisciplinary research are enhancing the ability to perform full-scale engineering of biology, contributing to worldwide efforts to create bioengineered plants, medicines, and commodities, which promise sustainability and innovative properties. Objective: This rapidly evolving biotechnology landscape is prompting focused scrutiny on biosecurity frameworks in place to mitigate harmful exploitation of biotechnology by state and non-state actors. Concerns about biosafety and biosecurity of engineering biology research have existed for decades as views about how advances in this and associated fields might provide new capabilities to malicious actors. This article considers biosecurity concerns using examples of research advances in engineering biology. Methods: The authors explore risk assessment and mitigation of transdisciplinary biotechnology research and development, using the framework developed in the National Academies' study on Biodefense in an Age of Synthetic Biology. Results: The Synthetic Biology Assessment Framework focuses on risks of using advanced approaches and technologies to enhance or create novel pathogens and toxins. The field of engineering biology continues to advance at a pace that challenges current risk assessment frameworks. Conclusions: This framework likely is sufficient to assess new science and technology advances affecting conventional biological agents. However, the risk assessment framework may have limited applicability for technologies that are not usable with conventional biological agents and result in economic or broader national security concerns. Finally, the vast majority of discourse has been focused primarily on risks rather than benefits, and analyzing both in future evaluations is critical to balancing scientific progress with risk reduction. [ABSTRACT FROM AUTHOR]

Introduction: Affordable and accurate nucleic acid synthesis is foundational to modern biotechnology, but raises security concerns because it facilitates the construction of pathogens and other potentially dangerous biological agents. Nucleic acid synthesis screening can reduce the risk of providing potentially harmful nucleic acids to those without a legitimate use for them. Governments, industry associations, and biosecurity organizations have offered guidance on synthesis screening for a decade, and are now considering how to translate industry best practices into regulatory frameworks. Methods: A review of existing guidance documents, policy proposals, and other published literature was performed. Results: We distinguish five categories of practical questions for policymakers: challenges associated with customer screening, sequence screening, the interaction between domestic and global regulations, commercial implications of screening, and finally, challenges associated with benchtop nucleic acid synthesis devices. There are a number of recommendations in public literature that target the implementation of robust customer and sequence screening, several of which have been incorporated into the recent United States White House Executive Order on artificial intelligence. There appears to be fewer solutions proposed to address challenges associated with the global screening landscape, or the commercial implications of screening requirements, and limited discussion on securing the benchtop synthesis landscape. Discussion and Conclusion: This paper aims at providing a comprehensive resource for policymakers, outlining a set of questions governments, and other stakeholders, must answer when implementing screening requirements to secure nucleic acid synthesis. [ABSTRACT FROM AUTHOR]

Borosins are a class of ribosomally synthesized and post-translationally modified peptides (RiPPs) with α-N-methylated backbones. Although the first mature compound of borosin was reported in 1997, the biosynthetic pathway was elucidated 20 years later. Until this work, borosins have been able to be categorized into 11 types based on the features of their protein structure and core peptides. Type III borosins were reported only in fungi initially. In order to explore the sources and potential of type III borosins, a precise genome mining work of type III borosins was conducted in bacteria and KchMA's self-methylation activity was validated by biochemical experiment. Furthermore, a commercial protease and AI-assisted rational design was employed to engineer KchMA for the capacity to produce various N-methylated peptides. Our work demonstrates that type III borosins are abundant not only in eukaryotes but also in bacteria and have immense potential as a tool for synthetic biology. [ABSTRACT FROM AUTHOR]

Exploiting the inherent compatibility of DNA-based data storage with living cells, various cellular recording approaches have been developed for recording and retrieving biologically relevant signals in otherwise inaccessible locations, such as inside the body. This review provides an overview of the current state of engineered cellular memory systems, highlighting their design principles, advantages, and limitations. We examine various technologies, including CRISPR-Cas systems, recombinases, retrons, and DNA methylation, that enable these recording systems. Additionally, we discuss potential strategies for improving recording accuracy, scalability, and durability to address current limitations in the field. This emerging modality of biological measurement will be key to gaining novel insights into diverse biological processes and fostering the development of various biotechnological applications, from environmental sensing to disease monitoring and beyond. [ABSTRACT FROM AUTHOR]

A bio-based production of chemical building blocks from renewable, sustainable and non-food substrates is one key element to fight climate crisis. Lactic acid, one such chemical building block is currently produced from first generation feedstocks such as glucose and sucrose, both requiring land and water resources. In this study we aimed for lactic acid production from methanol by utilizing Komagataella phaffii as a production platform. Methanol, a single carbon source has potential as a sustainable substrate as technology allows (electro)chemical hydrogenation of CO 2 for methanol production. Here we show that expression of the Lactiplantibacillus plantarum derived lactate dehydrogenase leads to L-lactic acid production in Komagataella phaffii , however, production resulted in low titers and cells subsequently consumed lactic acid again. Gene expression analysis of the methanol-utilizing genes AOX1 , FDH1 and DAS2 showed that the presence of lactic acid downregulates transcription of the aforementioned genes, thereby repressing the methanol-utilizing pathway. For activation of the methanol-utilizing pathway in the presence of lactic acid, we constructed strains deficient in transcriptional repressors Nrg1, Mig1-1, and Mig1-2 as well as strains with overrepresentation of transcriptional activators Mxr1 and Mit1. While loss of transcriptional repressors had no significant impact on lactic acid production, overexpression of both transcriptional activators, MXR1 and MIT1 , increased lactic acid titers from 4 g L−1 to 17 g L−1 in bioreactor cultivations. • The presence of lactic acid has a repressive effect on methanol utilizing genes in Komagataella phaffii. • Overexpression of the transcription factor genes MXR1 and MIT1 leads to higher expression of AOX1 and FDH1. • Higher expression of methanol utilizing genes improves lactic acid production on MeOH in bioreactor cultivations. • Keeping MeOH concentration at 2 % is beneficial for lactic acid production. [ABSTRACT FROM AUTHOR]

Steroidal alkaloids are FDA-approved drugs (e.g. , Zytiga) and promising drug candidates/leads (e.g. , cyclopamine); yet many of the ≥697 known steroidal alkaloid natural products remain underutilized as drugs because it can be challenging to scale their biosynthesis in their producing organisms. Cyclopamine is a steroidal alkaloid produced by corn lily (Veratrum spp.) plants, and it is an inhibitor of the Hedgehog (Hh) signaling pathway. Therefore, cyclopamine is an important drug candidate/lead to treat human diseases that are associated with dysregulated Hh signaling, such as basal cell carcinoma and acute myeloid leukemia. Cyclopamine and its semi-synthetic derivatives have been studied in (pre)clinical trials as Hh inhibitor-based drugs. However, challenges in scaling the production of cyclopamine have slowed efforts to improve its efficacy and safety profile through (bio)synthetic derivatization, often limiting drug development to synthetic analogs of cyclopamine such as the FDA-approved drugs Odomzo, Daurismo, and Erivedge. If a platform for the scalable and sustainable production of cyclopamine were established, then its (bio)synthetic derivatization, clinical development, and, ultimately, widespread distribution could be accelerated. Ongoing efforts to achieve this goal include the biosynthesis of cyclopamine in Veratrum plant cell culture and the semi-/total chemical synthesis of cyclopamine. Herein, this work advances efforts towards a promising future approach: the biosynthesis of cyclopamine in engineered microorganisms. We completed the heterologous microbial production of verazine (biosynthetic precursor to cyclopamine) from simple sugars (i.e. , glucose and galactose) in engineered Saccharomyces cerevisiae (S. cerevisiae) through the inducible upregulation of the native yeast mevalonate and lanosterol biosynthetic pathways, diversion of biosynthetic flux from ergosterol (i.e. , native sterol in S. cerevisiae) to cholesterol (i.e. , biosynthetic precursor to verazine), and expression of a refactored five-step verazine biosynthetic pathway. The engineered S. cerevisiae strain that produced verazine contains eight heterologous enzymes sourced from seven different species. Importantly, S. cerevisiae -produced verazine was indistinguishable via liquid chromatography-mass spectrometry from both a commercial standard (Veratrum spp. plant-produced) and Nicotiana benthamiana -produced verazine. To the best of our knowledge, this is the first report describing the heterologous production of a steroidal alkaloid in an engineered yeast. Verazine production was ultimately increased through design-build-test-learn cycles to a final titer of 83 ± 3 μg/L (4.1 ± 0.1 μg/g DCW). Together, this research lays the groundwork for future microbial biosynthesis of cyclopamine, (bio)synthetic derivatives of cyclopamine, and other steroidal alkaloid natural products. [Display omitted] • Biosynthesis of verazine (83 μg/L) from glucose and galactose in S. cerevisiae. • First heterologous steroidal alkaloid produced in an engineered yeast. • Biosynthesis of verazine via transient expression of its pathway in N. benthamiana. • S. cerevisiae , N. benthamiana , and commercial verazine were indistinguishable. [ABSTRACT FROM AUTHOR]

Advances in synthetic biology and artificial intelligence (AI) have provided new opportunities for modern biotechnology. High-performance cell factories, the backbone of industrial biotechnology, are ultimately responsible for determining whether a bio-based product succeeds or fails in the fierce competition with petroleum-based products. To date, one of the greatest challenges in synthetic biology is the creation of high-performance cell factories in a consistent and efficient manner. As so-called white-box models, numerous metabolic network models have been developed and used in computational strain design. Moreover, great progress has been made in AI-powered strain engineering in recent years. Both approaches have advantages and disadvantages. Therefore, the deep integration of AI with metabolic models is crucial for the construction of superior cell factories with higher titres, yields and production rates. The detailed applications of the latest advanced metabolic models and AI in computational strain design are summarized in this review. Additionally, approaches for the deep integration of AI and metabolic models are discussed. It is anticipated that advanced mechanistic metabolic models powered by AI will pave the way for the efficient construction of powerful industrial chassis strains in the coming years. • Advanced mechanistic metabolic models enhance rational design of cell factories • Machine learning models refine reconstruction of functional metabolic models. • Data-driven AI models provide alternative solutions for strain design in DBTL cycle. • Hybrid AI models with biological insights boost precision in cell factory design. [ABSTRACT FROM AUTHOR]

Many yeast strains secrete proteins that are lethal to other yeast and filamentous fungi. These toxins constitute a highly diverse system of targeted cell toxicity with different modes of action. Technological developments in synthetic biology offer an opportunity to unlock the potential of these systems and overcome their inherent limitations. These include engineering protein toxins towards user-defined physicochemical properties, systematically refactoring producer yeasts to achieve user-defined targeted killer functions, and bioprospecting for completely novel variants with either narrow or broad target ranges. Potential applications of protein toxins are diverse, but they likely represent a crucial new tool to address the looming challenges of food security, agricultural sustainability, and human health. The double-stranded (ds) RNA genomes of these systems may also represent a novel means of producing designer RNA. Killer yeasts secrete protein toxins that are selectively lethal to other yeast and filamentous fungi. These exhibit exceptional genetic and functional diversity, and have several biotechnological applications. However, despite decades of research, several limitations hinder their widespread adoption. In this perspective we contend that technical advances in synthetic biology present an unprecedented opportunity to unlock the full potential of yeast killer systems across a spectrum of applications. By leveraging these new technologies, engineered killer toxins may emerge as a pivotal new tool to address antifungal resistance and food security. Finally, we speculate on the biotechnological potential of re-engineering host double-stranded (ds) RNA mycoviruses, from which many toxins derive, as a safe and noninfectious system to produce designer RNA. [ABSTRACT FROM AUTHOR]

Peroxisomes are favorable platforms for organelle engineering, featuring abundant endogenous metabolites, optimal membrane permeability, frequent contacts with other organelles, efficient protein targeting signals, and many known organelle proliferation factors. Yeast peroxisome engineering has produced valuable biomolecules, such as biopolyesters, biofuels, terpenoids, alkaloids, antibiotics, and phytohormones. Plant peroxisome engineering has great potential in biomanufacturing and agriculture and adds values to improving environmental sustainability and food security. Approaches for improving the performance of heterologous pathways in peroxisomes include increasing peroxisomal abundance, coupling multiple subcellular compartments, maximizing precursor and cofactor supplies, uncovering the rate-limiting steps, and peroxisomal surface display of enzymes. Subcellular compartmentalization of metabolic pathways plays a crucial role in metabolic engineering. The peroxisome has emerged as a highly valuable and promising compartment for organelle engineering, particularly in the fields of biological manufacturing and agriculture. In this review, we summarize the remarkable achievements in peroxisome engineering in yeast, the industrially popular biomanufacturing chassis host, to produce various biocompounds. We also review progress in plant peroxisome engineering, a field that has already exhibited high potential in both biomanufacturing and agriculture. Moreover, we outline various experimentally validated strategies to improve the efficiency of engineered pathways in peroxisomes, as well as prospects of peroxisome engineering. [ABSTRACT FROM AUTHOR]

Laboratory automation with robot-assisted processes enhances synthetic biology, but its economic impact on projects is uncertain. We have proposed an experiment price index (EPI) for a quantitative comparison of factors in time, cost, and sample numbers, helping measure the efficiency of laboratory automation in synthetic biology and biomolecular engineering. [ABSTRACT FROM AUTHOR]

The COVID-19 pandemic has thrust RNA as a platform for drug development into the spotlight. However, identifying promising drug candidates is challenging. With advances in synthetic biology and artificial intelligence (AI) models, we can overcome this hurdle, transforming drug development and ushering in a new era in the pharmaceutical industry. [ABSTRACT FROM AUTHOR]

Evolving microbes for desirable phenotypes, including stress resistance or the production of specific compounds, is a powerful approach in biotechnology and precision fermentation. Genetic diversity is essential for evolving microorganisms as it provides the raw material for screening/selection of improved variants. Efficient evolutionary engineering often requires tools that increase genetic diversity through tuning of mutation rates and the genomic location of mutations. Novel synthetic biology tools enable a controlled increase of the genetic diversity of the host. These tools can be implemented either in vitro or in vivo and target different types of mutations and target windows. Evolutionary engineering helps to improve cellular processes and metabolic pathways by, for example, optimizing gene stoichiometry or improving enzyme catalysis. The natural process of evolutionary adaptation is often exploited as a powerful tool to obtain microbes with desirable traits. For industrial microbes, evolutionary engineering is often used to generate variants that show increased yields or resistance to stressful industrial environments, thus obtaining superior microbial cell factories. However, even in large populations, the natural supply of beneficial mutations is typically low, which implies that obtaining improved microbes is often time-consuming and inefficient. To overcome this limitation, different techniques have been developed that boost mutation rates. While some of these methods simply increase the overall mutation rate across a genome, others use recent developments in DNA synthesis, synthetic biology, and CRISPR-Cas techniques to control the type and location of mutations. This review summarizes the most important recent developments and methods in the field of evolutionary engineering in model microorganisms. It discusses how both in vitro and in vivo approaches can increase the genetic diversity of the host, with a special emphasis on in vivo techniques for the optimization of metabolic pathways for precision fermentation. [ABSTRACT FROM AUTHOR]

The widespread adoption of fast fashion has led to a significant waste problem associated with discarded textiles. Using proteins to color textiles can serve as a sustainable alternative to chemical dyes as well as reduce the demand for new raw materials. Here, we explore the use of chromogenic fusion proteins, consisting of a chromoprotein and a carbohydrate‐binding module (CBM), as coloring agents for cellulose‐based textiles such as cotton. We examined the color properties of chromoproteins AeBlue, SpisPink and Ultramarine alone and fused to CBM under various conditions. AeBlue, SpisPink and Ultramarine exhibited visible color between pH 4‐9 and temperatures ranging from 4 to 45℃. Fusing CBM Clos from Clostridium thermocellum and CBM Ch2 from Trichoderma reesei to the chromoproteins had no effect on the chromoprotein color properties. Furthermore, binding assays showed that chromoprotein fusions did not affect binding of CBMs to cellulosic materials. Cotton samples bound with Ultramarine‐Clos exhibited visible purple color that faded progressively over time as the samples dried. Applying 10% 8000 polyethylene glycol to cotton samples markedly preserved the color over extended periods. Overall, this work highlights the potential of chromoprotein‐CBM fusions for textile dying which could be applied as a color maintenance technology or for reversible coloring of textiles for events or work wear, contributing to sustainable practices and introducing new creative opportunities for the industry. [ABSTRACT FROM AUTHOR]

Using microorganisms for bioproduction requires the reorientation of metabolic fluxes from biomass synthesis to the production of compounds of interest. We previously engineered a synthetic growth switch in Escherichia coli based on inducible expression of the β‐ and β′‐subunits of RNA polymerase. Depending on the level of induction, the cells stop growing or grow at a rate close to that of the wild‐type strain. This strategy has been successful in transforming growth‐arrested bacteria into biofactories with a high production yield, releasing cellular resources from growth towards biosynthesis. However, high selection pressure is placed on a growth‐arrested population, favoring mutations that allow cells to escape from growth control. Accordingly, we made the design of the growth switch more robust by building in genetic redundancy. More specifically, we added the rpoA gene, encoding for the α‐subunit of RNA polymerase, under the control of a copy of the same inducible promoter used for expression control of ββ′. The improved growth switch is much more stable (escape frequency <10−9), while preserving the capacity to improve production yields. Moreover, after a long period of growth inhibition the population can be regenerated within a few generations. This opens up the possibility to alternate biomass accumulation and product synthesis over a longer period of time and is an additional step towards the dynamical control of bioproduction. [ABSTRACT FROM AUTHOR]

Synechococcus elongatus PCC 11801 is a fast‐growing cyanobacterium, exhibiting high tolerance to environmental stresses. We have earlier characterized its genome and analysed its transcriptome and proteome. However, to deploy it as a potential cell factory, it is necessary to expand its synthetic biology toolbox, including promoter elements and ribosome binding sites (RBSs). Here, based on the global transcriptome analysis, 48 native promoters of the genes with high transcript count were characterized using a fluorescent reporter system. The promoters PcpcB, PpsbA1, and P11770 exhibited consistently high fluorescence under all the cultivation conditions. Similarly, from the genome data and proteome analysis, 534 operons were identified. Fifteen intergenic regions exhibiting higher protein expression from the downstream gene were systematically characterized for identifying RBSs, using an operon construct comprising fluorescent protein genes eyfp and mTurq under PcpcB (PcpcB:eyfp:RBS:mTurq:TrrnB). Overall, the work presents promoter and RBS sequence libraries, with varying strengths, to expedite bioengineering of PCC 11801. [ABSTRACT FROM AUTHOR]

Plant growth-promoting rhizobacteria (PGPR) such as Bacillus and Pseudomonas have drawn broad attention and interest due to their agricultural benefits. One of the major benefits of PGPR lies at their biocontrol capabilities against various plant pathogens. The biocontrol capability of PGPR is closely related to its capability of producing various kinds of antimicrobial substances. Major antimicrobial secondary metabolites secreted by PGPR include non-ribosomal lipopeptides (NRLPs), polyketides, ribosomal peptides, phenazines, pyrrolnitrins, etc. This review focuses on the major antimicrobial secondary metabolites produced by Bacillus and Pseudomonas including their classifications, structures, mechanisms of action and genetic regulations. We have also discussed their applications in plant biocontrol and provided insights into future development of improved biocontrol strains using synthetic biology approaches. [ABSTRACT FROM AUTHOR]

Plastic wastes, widely distributed in the environment, can be transformed into microplastics, posing a huge threat to ecosystems and human health due to their stability and adsorbability to other toxic pollutants (e.g., heavy metals and antibiotics). Recently, microbial degradation of (micro)plastics has gained widespread attention because of its green and sustainable properties. Microbial degradation of (micro)plastics is based on the cascade effects of various enzymes secreted by microorganisms, which can convert (micro)plastics into oligomers and monomers, or even mineralize them into CO2 and H2O. The microbial degradation of (micro)plastics is affected by multiple factors, such as microbial species, plastic properties, and environmental conditions. Currently, limited efficient plastic-degrading microorganisms have been discovered, and their degradation mechanisms are still unclear. Furthermore, the efficiency of microbial degradation needs to be improved for future application. Therefore, this review systematically summarizes the sources and properties of existing plastics, identifies pure cultures and mixed cultures for plastic degradation, and examines their influencing factors. In particular, the microbial degradation behaviors of (micro)plastics, including relevant enzymes, degradation efficiency, and degradation mechanisms, were thoroughly discussed. Additionally, the augmentation technologies coupling with microbial degradation, such as advanced oxidation, electrochemical, and genetic engineering technologies, were introduced and highlighted for their potential prospects. This review provides a reference for future research and development of (micro)plastic biodegradation technology. [ABSTRACT FROM AUTHOR]

γ‐Polyglutamic acid (γ‐PGA) microgel, produced by Bacillus spp., represents a promising biomaterial with diverse industrial applications due to its biodegradability, biocompatibility, and nontoxic nature. This review explores the current methodologies in the industrial production of γ‐PGA microgel, emphasizing the optimization of fermentation conditions, genetic engineering of Bacillus strains, and advances in downstream processing techniques. Key applications in pharmaceuticals, agriculture, and environmental management are discussed, highlighting its role in drug delivery systems, as a biocontrol agent, and in wastewater treatment. Future perspectives include enhancing production efficiency through synthetic biology, expanding its application scope, and addressing economic and regulatory challenges to facilitate broader adoption. The integration of innovative technologies and multidisciplinary approaches is crucial for the sustainable development and commercial success of γ‐PGA microgel. [ABSTRACT FROM AUTHOR]

This comprehensive review investigates the potential of cyanobacteria, particularly nitrogen-fixing strains, in addressing global challenges pertaining to plastic pollution and carbon emissions. By analyzing the distinctive characteristics of cyanobacteria, including their minimal growth requirements, high photosynthetic efficiency, and rapid growth rates, this study elucidates their crucial role in transforming carbon sequestration, biofuel generation, and biodegradable plastic production. The investigation emphasizes cyanobacteria's efficiency in photosynthesis, positioning them as optimal candidates for cost-effective bioplastic production with minimized land usage. Furthermore, the study explores their unconventional yet promising utilization in biodiesel production, mitigating environmental concerns such as sulfur emissions and the presence of aromatic hydrocarbons. The resulting biodiesel exhibits significant combustion potential, establishing cyanobacteria as a viable option for sustainable biofuel production. Through a comprehensive assessment of both achievements and challenges encountered during the commercialization process, this review offers valuable insights into the diverse contributions of cyanobacteria. Its objective is to provide guidance to researchers, policymakers, and industries interested in harnessing bio-inspired approaches for structural and sustainable applications, thereby advancing global efforts towards environmentally conscious plastic and biofuel production. [ABSTRACT FROM AUTHOR]

Creating propositions for the near and distant future requires a design to catch the tide of the times and move with or against trends. In addition, appropriate, adaptable, flexible, and transformational projects are needed in light of changes in science, technology, social, economic, political, and demographic fields over time. Humanity is facing a period in which science and developing technologies will be even more important in solving food safety, health, and environmental problems. Adapting to and mitigating climate change; reducing pollution, waste, and biodiversity loss; and feeding a growing global population with safe food are key challenges facing the agri-food industry and the food supply chain, requiring systemic transformation in agricultural systems and sustainable future agri-food. The aim of this review is to compile scientific evidence and data, define, and create strategies for the future in terms of food security, safety, and sufficiency; future sustainable foods and alternative protein sources; factors affecting food and nutrition security and agriculture; and promising food systems such as functional foods, novel foods, synthetic biology, and 3D food printing. In this review, the safety, conservation, nutritional, sensory, welfare, and potential challenges and limitations of food systems and the opportunities to overcome them on the basis of new approaches, innovative interpretations, future possibilities, and technologies are discussed. Additionally, this review also offers suggestions for future research and food trends in light of future perspectives. This article focuses on future sustainable foods, alternative protein sources, and novel efficient food systems, highlights scientific and technological advances and new research directions, and provides a significant perspective on sustainability. [ABSTRACT FROM AUTHOR]

Genomic rearrangements play a crucial role in shaping biological phenotypic diversity and driving species evolution. Synthetic chromosome rearrangement and modification by LoxP-mediated evolution (SCRaMbLE) has been applied to explore large-scale genomic rearrangements, yet it has been observed that these rearrangements occur exclusively in genomic regions containing loxPsym sites. Here, we found that SCRaMbLE of synthetic yeast harboring synthetic chromosome V and X can generate a variety of synthetic segment insertions into wild-type chromosomes, ranging from 1 to 300 kb. Furthermore, it was revealed that the novel insertions impacted the transcriptional level of neighboring regions and affected the production of exemplar pathway of zeaxanthin. Collectively, our results improve the understanding of the ability of SCRaMbLE to generate complex structural variations in nonsynthetic regions and provide a potential model to explore genomic transposable events. [ABSTRACT FROM AUTHOR]

There is a growing need for applications capable of handling large synthesis biology experiments. At the core of synthetic biology is the process of cloning and manipulating DNA as plasmids. Here, we report the development of an application named DNAda capable of writing automation instructions for any given DNA construct design generated by the J5 DNA assembly program. We also describe the automation pipeline and several useful features. The pipeline is particularly useful for the construction of combinatorial DNA assemblies. Furthermore, we demonstrate the platform by constructing a library of polyketide synthase parts, which includes 120 plasmids ranging in size from 7 to 14 kb from 4 to 7 DNA fragments.

Anthropogenic carbon emissions are driving rapid changes to the earth's climate, disrupting whole ecosystems and endangering the stability of human society. Innovations in engineered microbial fermentation enable the fossil resource-free production of fuels, commodity chemicals, and materials, thereby reducing the carbon emissions associated with these products. Microorganisms have been engineered to catabolize sustainable sources of carbon and energy (i.e., plant biomass, plastic waste, and one-carbon feedstocks) and biosynthesize carbon-neutral or carbon-negative products. These engineering efforts exploit and optimize natural biological pathways or generate unnatural pathways which can biosynthesize chemicals that have not yet been accessed using synthetic chemistry. Recent advances in microbial fermentation seek not only to maximize the titer, rate, and yield of desired products, but also to tailor microbial catabolism to utilize inexpensive feedstocks. Ultimately, these advances aim to lower the cost of bioproduction so that microorganism-derived chemicals can be economically competitive with fossil-derived chemicals.

Abstract Background Rheumatoid arthritis (RA) is a systemic autoimmune disease characterized by increased levels of inflammation that primarily manifests in the joints. Macrophages act as key drivers for the progression of RA, contributing to the perpetuation of chronic inflammation and dysregulation of pro-inflammatory cytokines such as interleukin 1 (IL-1). The goal of this study was to develop a macrophage-based cell therapy for biologic drug delivery in an autoregulated manner. Methods For proof-of-concept, we developed “smart” macrophages to mitigate the effects of IL-1 by delivering its inhibitor, IL-1 receptor antagonist (IL-1Ra). Bone marrow-derived macrophages were lentivirally transduced with a synthetic gene circuit that uses an NF-κB inducible promoter upstream of either the Il1rn or firefly luciferase transgenes. Two types of joint like cells were utilized to examine therapeutic protection in vitro, miPSCs derived cartilage and isolated primary mouse synovial fibroblasts while the K/BxN mouse model of RA was utilized to examine in vivo therapeutic protection. Results These engineered macrophages were able to repeatably produce therapeutic levels of IL-1Ra that could successfully mitigate inflammatory activation in co-culture with both tissue-engineered cartilage constructs and synovial fibroblasts. Following injection in vivo, macrophages homed to sites of inflammation and mitigated disease severity in the K/BxN mouse model of RA. Conclusion These findings demonstrate the successful development of engineered macrophages that possess the ability for controlled, autoregulated production of IL-1 based on inflammatory signaling such as via the NF-κB pathway to mitigate the effects of this cytokine for applications in RA or other inflammatory diseases. This system provides proof of concept for applications in other immune cell types as self-regulating delivery systems for therapeutic applications in a range of diseases.

Abstract Gaucher Disease (GD) is an autosomal recessive, lysosomal storage disease caused by pathogenic variants in the glucocerebrosidase gene, leading to the loss of β-glucocerebrosidase (GCase) enzymatic activity. Enzyme replacement therapy (ERT) with recombinant GCase is the standard of care in GD patients. Our study investigates the combined use of in silico molecular evolution, synthetic biology and gene therapy approaches to develop a new synthetic recombinant enzyme. We engineered four GCases containing missense mutations in the signal peptide (SP) from four selected mammalian species, and compared them with human GCase without missense mutations in the SP. We investigated transcriptional regulation with CMV and hEF1a promoters alongside a GFP control construct in 293-FT human cells. One hEF1a-driven mutant GCase shows a 5.2-fold higher level of transcription than control GCase. In addition, this mutant exhibits up to a sixfold higher activity compared with the mock-control, and the predicted tertiary structure of this mutant GCase aligns with human GCase. We also evaluated conserved and coevolved residues mapped to functionally important positions. Further studies are needed to assess its functionality in a GD animal model. Altogether, our findings provide in vitro evidence of the potential of this engineered enzyme for improved therapeutic effects for GD. Article highlights. Conservation and coevolution analysis of amino acid frequencies in GBA1 homologs of pathogenic variants associated with Gaucher disease, Parkinson’ disease risk or Dementia with Lewy bodies risk. Graphic Abstract

Abstract RNA recognition motifs (RRMs) are widespread RNA-binding protein domains in eukaryotes, which represent promising synthetic biology tools due to their compact structure and efficient activity. Yet, their use in prokaryotes is limited and their functionality poorly characterized. Recently, we repurposed a mammalian Musashi protein containing two RRMs as a translation regulator in Escherichia coli. Here, employing high-throughput RNA sequencing, we explored the impact of Musashi expression on the transcriptomic and translatomic profiles of E. coli, revealing certain metabolic interference, induction of post-transcriptional regulatory processes, and spurious protein-RNA interactions. Engineered Musashi protein mutants displayed compromised regulatory activity, emphasizing the importance of both RRMs for specific and sensitive RNA binding. We found that a mutation known to impede allosteric regulation led to similar translation control activity. Evolutionary experiments disclosed a loss of function of the synthetic circuit in about 40 generations, with the gene coding for the Musashi protein showing a stability comparable to other heterologous genes. Overall, this work expands our understanding of RRMs for post-transcriptional regulation in prokaryotes and highlight their potential for biotechnological and biomedical applications.

Cell-free protein synthesis (CFPS) has emerged as a powerful tool for protein production, with applications ranging from basic research to biotechnology and pharmaceutical development. However, enhancing the efficiency of CFPS systems remains a crucial challenge for realizing their full potential. Computational strategies offer promising avenues for optimizing CFPS efficiency by providing insights into complex biological processes and enabling rational design approaches. This review provides a comprehensive overview of the computational approaches aimed at enhancing CFPS efficiency. The introduction outlines the significance of CFPS and the role of computational methods in addressing efficiency limitations. It discusses mathematical modeling and simulation-based approaches for predicting protein synthesis kinetics and optimizing CFPS reactions. The review also delves into the design of DNA templates, including codon optimization strategies and mRNA secondary structure prediction tools, to improve protein synthesis efficiency. Furthermore, it explores computational techniques for engineering cell-free transcription and translation machinery, such as the rational design of expression systems and the predictive modeling of ribosome dynamics. The predictive modeling of metabolic pathways and the energy utilization in CFPS systems is also discussed, highlighting metabolic flux analysis and resource allocation strategies. Machine learning and artificial intelligence approaches are being increasingly employed for CFPS optimization, including neural network models, deep learning algorithms, and reinforcement learning for adaptive control. This review presents case studies showcasing successful CFPS optimization using computational methods and discusses applications in synthetic biology, biotechnology, and pharmaceuticals. The challenges and limitations of current computational approaches are addressed, along with future perspectives and emerging trends, such as the integration of multi-omics data and advances in high-throughput screening. The conclusion summarizes key findings, discusses implications for future research directions and applications, and emphasizes opportunities for interdisciplinary collaboration. This review offers valuable insights and prospects regarding computational strategies to enhance CFPS efficiency. It serves as a comprehensive resource, consolidating current knowledge in the field and guiding further advancements.

Gene circuits allow cells to carry out complex functions such as the precise regulation of biological metabolic processes. In this study, we combined, in the yeast S. cerevisiae, genetic regulatory elements with the enzymatic reactions of the human CYP2C9 and its redox partner CPR on luciferin substrates and diclofenac. S. cerevisiae cells were permeabilized and used as enzyme bags in order to host these metabolic reactions. We engineered three different (genetic)-enzymatic basic Boolean gates (YES, NOT, and N-IMPLY). In the YES and N-IMPLY gates, human CYP2C9 was expressed under the galactose-inducible GAL1 promoter. The carbon monoxide releasing molecule CORM-401 was used as an input in the NOT and N-IMPLY gates to impair CYP2C9 activity through inhibition of the Fe+2- heme prosthetic group in the active site of the human enzyme. Our study provides a new approach in designing synthetic bio-circuits and optimizing experimental conditions to favor the heterologous expression of human drug metabolic enzymes over their endogenous counterparts. This new approach will help study precise metabolic attributes of human P450s.

Understanding the algorithmic behaviors that are in principle realizable in a chemical system is necessary for a rigorous understanding of the design principles of biological regulatory networks. Further, advances in synthetic biology herald the time when we will be able to rationally engineer complex chemical systems and when idealized formal models will become blueprints for engineering. Coupled chemical interactions in a well-mixed solution are commonly formalized as chemical reaction networks (CRNs). However, despite the widespread use of CRNs in the natural sciences, the range of computational behaviors exhibited by CRNs is not well understood. Here, we study the following problem: What functions f : Rk → R can be computed by a CRN, in which the CRN eventually produces the correct amount of the “output” molecule, no matter the rate at which reactions proceed? This captures a previously unexplored but very natural class of computations: For example, the reaction X1 + X2 → Y can be thought to compute the function y = min(x1, x2). Such a CRN is robust in the sense that it is correct whether its evolution is governed by the standard model of mass-action kinetics, alternatives such as Hill-function or Michaelis-Menten kinetics, or other arbitrary models of chemistry that respect the (fundamentally digital) stoichiometric constraints (what are the reactants and products?). We develop a reachability relation based on a broad notion of “what could happen” if reaction rates can vary arbitrarily over time. Using reachability, we define stable computation analogously to probability 1 computation in distributed computing and connect it with a seemingly stronger notion of rate-independent computation based on convergence in the limit t → ∞ under a wide class of generalized rate laws. Besides the direct mapping of a concentration to a nonnegative analog value, we also consider the “dual-rail representation” that can represent negative values as the difference of two concentrations and allows the composition of CRN modules. We prove that a function is rate-independently computable if and only if it is piecewise linear (with rational coefficients) and continuous (dual-rail representation), or non-negative with discontinuities occurring only when some inputs switch from zero to positive (direct representation). The many contexts where continuous piecewise linear functions are powerful targets for implementation, combined with the systematic construction we develop for computing these functions, demonstrate the potential of rate-independent chemical computation. [ABSTRACT FROM AUTHOR]

High GC bacteria from the genus Streptomyces harbor expansive secondary metabolism. The expression of biosynthetic proteins and the characterization and identification of biological "parts" for synthetic biology purposes from such pathways are of interest. However, the high GC content of proteins from actinomycetes in addition to the large size and multi-domain architecture of many biosynthetic proteins (such as non-ribosomal peptide synthetases; NRPSs, and polyketide synthases; PKSs often called "megasynthases") often presents issues with full-length translation and folding. Here we evaluate a non-ribosomal peptide synthetase (NRPS) from Streptomyces lavenduale, a multidomain "megasynthase" gene that comes from a high GC (72.5%) genome. While a preliminary step in revealing differences, to our knowledge this presents the first head-to-head comparison of codon-optimized sequences versus a native sequence of proteins of streptomycete origin heterologously expressed in E. coli. We found that any disruption in co-translational folding from codon mismatch that reduces the titer of indigoidine is explainable via the formation of more inclusion bodies as opposed to compromising folding or posttranslational modification in the soluble fraction. This result supports that one could apply any refactoring strategies that improve soluble expression in E. coli without concern that the protein that reaches the soluble fraction is differentially folded.

Mechanisms that prevent accidental activation of the PINK1/Parkin mitophagy circuit on healthy mitochondria are poorly understood. On the surface of damaged mitochondria, PINK1 accumulates and acts as the input signal to a positive feedback loop of Parkin recruitment, which in turn promotes mitochondrial degradation via mitophagy. However, PINK1 is also present on healthy mitochondria, where it could errantly recruit Parkin and thereby activate this positive feedback loop. Here, we explore emergent properties of the PINK1/Parkin circuit by quantifying the relationship between mitochondrial PINK1 concentrations and Parkin recruitment dynamics. We find that Parkin is recruited to mitochondria only if PINK1 levels exceed a threshold and then only after a delay that is inversely proportional to PINK1 levels. Furthermore, these two regulatory properties arise from the input-coupled positive feedback topology of the PINK1/Parkin circuit. These results outline an intrinsic mechanism by which the PINK1/Parkin circuit can avoid errant activation on healthy mitochondria.

The bacterial strain JCVI-syn3.0 stands as the first example of a living organism with a minimized synthetic genome, derived from the Mycoplasma mycoides genome and chemically synthesized in vitro. Here, we report the experimental evolution of a syn3.0- derived strain. Ten independent replicates were evolved for several hundred generations, leading to growth rate improvements of > 15%. Endpoint strains possessed an average of 8 mutations composed of indels and SNPs, with a pronounced C/G- > A/T transversion bias. Multiple genes were repeated mutational targets across the independent lineages, including phase variable lipoprotein activation, 5 distinct; nonsynonymous substitutions in the same membrane transporter protein, and inactivation of an uncharacterized gene. Transcriptomic analysis revealed an overall tradeoff reflected in upregulated ribosomal proteins and downregulated DNA and RNA related proteins during adaptation. This work establishes the suitability of synthetic, minimal strains for laboratory evolution, providing a means to optimize strain growth characteristics and elucidate gene functionality.

As a fundamental tool in synthetic biology, promoters are pivotal in regulating gene expression, enabling precise genetic control and spurring innovation across diverse biotechnological applications. However, most advances in engineered genetic systems rely on host-specific regulation of the genetic portion. With the burgeoning diversity of synthetic biology chassis cells, there emerges a pressing necessity to broaden the universal promoter toolkit spectrum, ensuring adaptability across various microbial chassis cells for enhanced applicability and customization in the evolving landscape of synthetic biology. In this study, we analyzed and validated the primary structures of natural endogenous promoters from Escherichia coli, Bacillus subtilis, Corynebacterium glutamicum, Saccharomyces cerevisiae, and Pichia pastoris, and through strategic integration and rational modification of promoter motifs, we developed a series of cross-species promoters (Psh) with transcriptional activity in five strains (prokaryotic and eukaryotic). This series of cross species promoters can significantly expand the synthetic biology promoter toolkit while providing a foundation and inspiration for standardized development of universal components The combinatorial use of key elements from prokaryotic and eukaryotic promoters presented in this study represents a novel strategy that may offer new insights and methods for future advancements in promoter engineering.