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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]

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]

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]

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]

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]

The functional integration of biological switches with synthetic building blocks enables the design of modular, stimulus‐responsive biohybrid materials. By connecting the individual modules via diffusible signals, information‐processing circuits can be designed. Such systems are, however, mostly limited to respond to either small molecules, proteins, or optical input thus limiting the sensing and application scope of the material circuits. Here, a highly modular biohybrid material is design based on CRISPR/Cas13a to translate arbitrary single‐stranded RNAs into a biomolecular material response. This system exemplified by the development of a cascade of communicating materials that can detect the tumor biomarker microRNA miR19b in patient samples or sequences specific for SARS‐CoV. Specificity of the system is further demonstrated by discriminating between input miRNA sequences with single‐nucleotide differences. To quantitatively understand information processing in the materials cascade, a mathematical model is developed. The model is used to guide systems design for enhancing signal amplification functionality of the overall materials system. The newly designed modular materials can be used to interface desired RNA input with stimulus‐responsive and information‐processing materials for building point‐of‐care suitable sensors as well as multi‐input diagnostic systems with integrated data processing and interpretation. [ABSTRACT FROM AUTHOR]

Synthetic biology encompasses many kinds of ideas and techniques with the common theme of creating something novel. The industrially relevant microorganism, Ralstonia eutropha (also known as Cupriavidus necator), has long been a subject of metabolic engineering efforts to either enhance a product it naturally makes (polyhydroxyalkanoate) or produce novel bioproducts (e.g., biofuels and other small molecule compounds). Given the metabolic versatility of R. eutropha and the existence of multiple molecular genetic tools and techniques for the organism, development of a synthetic biology toolkit is underway. This toolkit will allow for novel, user-friendly design that can impart new capabilities to R. eutropha strains to be used for novel application. This article reviews the different synthetic biology techniques currently available for modifying and enhancing bioproduction in R. eutropha. Key points: • R. eutropha (C. necator) is a versatile organism that has been examined for many applications. • Synthetic biology is being used to design more powerful strains for bioproduction. • A diverse synthetic biology toolkit is being developed to enhance R. eutropha's capabilities. [ABSTRACT FROM AUTHOR]

A biological nanoplatform (Gal-ANI@ZnAP NPs) was constructed based on a prodrug-skeletal metal--organic framework (MOF) using purine nucleobase analogue prodrug 6-allylthiopurine as a bioactive ligand, and functionalized with AIE fluorescent PARP inhibitor glycoconjugate for visualization therapy and synthetic lethal cancer therapy. This nanoplatform could actively target cancer cells, selectively release drugs in response to esterase/pH, and visualize drug uptake. In vitro studies revealed that Gal-ANI@ZnAP NPs increased the synthetic lethality in cancer cells by inducing DNA repair failure with the simultaneous targeting of PARP and nucleotide metabolism, thereby exhibiting a significant cancer-killing effect. The study presents a novel strategy to construct an AIE nanoplatform using pharmaceutical molecules for drug uptake visualization and boosting synthetic lethality in cancer. [ABSTRACT FROM AUTHOR]

Space exploration and interstellar migration are important strategies for long-term human survival. However, extreme environmental conditions, such as space radiation and microgravity, can cause adverse effects, including DNA damage, cerebrovascular disease, osteoporosis, and muscle atrophy, which would require prophylactic and remedial treatment en route. Production of oral drugs in situ is therefore critical for interstellar travel and can be achieved through industrial production utilizing microalgae, which offers high production efficiency, edibility, resource minimization, adaptability, stress tolerance, and genetic manipulation ease. Synthetic biological techniques using microalgae as a chassis offer several advantages in producing natural products, including availability of biosynthetic precursors, potential for synthesizing natural metabolites, superior quality and efficiency, environmental protection, and sustainable development. This article explores the advantages of bioproduction from microalgal chassis using synthetic biological techniques, suitability of microalgal bioreactor-based cell factories for producing value-added natural metabolites, and prospects and applications of microalgae in interstellar travel. [ABSTRACT FROM AUTHOR]

The enzyme 5-enolpyruvylshikimate-3-phosphate synthase (EPSPS) functions in the shikimate pathway which is responsible for the production of aromatic amino acids and precursors of other essential secondary metabolites in all plant species. EPSPS is also the molecular target of the herbicide glyphosate. While some plant EPSPS variants have been characterized with reduced glyphosate sensitivity and have been used in biotechnology, the glyphosate insensitivity typically comes with a cost to catalytic efficiency. Thus, there exists a need to generate additional EPSPS variants that maintain both high catalytic efficiency and high glyphosate tolerance. Here, we create a synthetic yeast system to rapidly study and evolve heterologous EPSP synthases for these dual traits. Using known EPSPS variants, we first validate that our synthetic yeast system is capable of recapitulating growth characteristics observed in plants grown in varying levels of glyphosate. Next, we demonstrate that variants from mutagenesis libraries with distinct phenotypic traits can be isolated depending on the selection criteria applied. By applying strong dual-trait selection pressure, we identify a notable EPSPS mutant after just a single round of evolution that displays robust glyphosate tolerance (Ki of nearly 1 mM) and improved enzymatic efficiency over the starting point (~2.5 fold). Finally, we show the crystal structure of corn EPSPS and the top resulting mutants and demonstrate that certain mutants have the potential to outperform previously reported glyphosate-resistant EPSPS mutants, such as T102I and P106S (denoted as TIPS), in whole-plant testing. Altogether, this platform helps explore the trade-off between glyphosate resistance and enzymatic efficiency. [ABSTRACT FROM AUTHOR]

While protein aggregation is a hallmark of many neurodegenerative diseases, acquiring structural information on protein aggregates inside live cells remains challenging. Traditional microscopy does not provide structural information on protein systems. Routinely used fluorescent protein tags, such as Green Fluorescent Protein (GFP), might perturb native structures. Here, we report a counter‐propagating mid‐infrared photothermal imaging approach enabling mapping of secondary structure of protein aggregates in live cells modeling Huntington's disease. By comparing mid‐infrared photothermal spectra of label‐free and GFP‐tagged huntingtin inclusions, we demonstrate that GFP fusions indeed perturb the secondary structure of aggregates. By implementing spectra with small spatial step for dissecting spectral features within sub‐micrometer distances, we reveal that huntingtin inclusions partition into a β‐sheet‐rich core and a ɑ‐helix‐rich shell. We further demonstrate that this structural partition exists only in cells with the [RNQ+] prion state, while [rnq−] cells only carry smaller β‐rich non‐toxic aggregates. Collectively, our methodology has the potential to unveil detailed structural information on protein assemblies in live cells, enabling high‐throughput structural screenings of macromolecular assemblies. [ABSTRACT FROM AUTHOR]

Perillic acid has been studied as an anticancer and antimicrobial drug. Production of perillic acid has attracted considerable attention. Meanwhile, Candida tropicalis is an unconventional diploid yeast, most significantly characterized by its ability to metabolize alkanes or fatty acids for growth and proliferation. Therefore, perillic acid's precursor (L-limonene) in C. tropicalis was firstly synthesized by expressing a Mentha spicata L-limonene synthase gene, LS_Ms in this work. Expression of a gene which encoded for a truncated version of tLS_Ms increased the production of L-limonene with a 2.78-fold increase in the titer over C. tropicalis GJR-LS-01. Compartmentalized expression of the gene tLS_Ms inhibited the production of L-limonene in C. tropicalis compared to cytoplasmic expression. Cytoplasmic overexpression of seven precursor synthesis genes significantly enhanced the production of L-limonene in C. tropicalis compared to their compartmentalized expression (mitochondria or peroxisomes), which increased by 31.7-fold in C. tropicalis GJR-tLS-01. The L-limonene titer in C. tropicalis GJR-EW-tLS-04 overexpressing the mutant gene ERG20WW in the cytoplasm was significantly increased, 11.33-fold higher than the control. The titer of L-limonene for 60 g/L glucose was increased by 1.40-fold compared to the control. Finally, a Salvia miltiorrhiza cytochrome P450 enzyme gene CYP7176 and an Arabidopsis thaliana NADPH cytochrome P450 reductase gene CPR were heterologously expressed in C. tropicalis GJR-EW-tLS-04C for the synthesis of perillic acid, which reached a titer of 106.69 mg/L in a 5-L fermenter. This is the first report of de novo synthesis of perillic acid in engineered microorganisms. The results also showed that other chemicals may be efficiently produced in C. tropicalis. Key points: • Key genes cytoplasmic expression was conducive to L-limonene production in C. tropicalis. • Perillic acid was first synthesized de novo in engineered microorganisms. • The titer of perillic acid reached 106.69 mg/L in a 5-L fermenter. [ABSTRACT FROM AUTHOR]

Over the past two decades, significant advancements have been made in the scalable production and commercialization of microbially‐produced recombinant protein polymers. This perspective presents the evolution from early research efforts to the development of market‐ready products, with a focus on recombinant silk‐like proteins. Initial attempts to synthesize spider silk proteins in microbial hosts faced challenges with solubility, stability, and yield. Recent advancements in synthetic biology, protein engineering, and bioprocess development have enabled the substantial progress on these challenges. Early commercial efforts highlight the complexities and high costs involved in silk production and more recent strategies have shifted toward processes with better scalability, techno‐economics, and product properties. Significant commercial progress has been made, with products launched in textiles and personal care. Although market penetration is limited so far, substantial groundwork is laid for future success. Key challenges remain, such as continued high production costs and the need for cost‐effective purification and fiber spinning techniques. However, the convergence of scientific, technological, and market developments –including a growing number of product launches – suggests that recombinant silk and protein polymers can soon become widespread sustainable materials across various industries. [ABSTRACT FROM AUTHOR]

Spider silk is one of the strongest and toughest fibrous materials available in nature. Its superior properties make it a good candidate for applications in various fields ranging from protective body armor to scaffolds for medical implants. However, harvesting a substantial amount of natural spider silk remains challenging because spiders cannot be easily bred. With the development of synthetic biology and its integration with materials science, considerable research has been directed toward engineering and production of synthetic spider silk materials. Here the study overviews general strategies on molecular design, mesoscopic assembly, and macroscopic regulation of artificial spider silk materials. The insights into the correlation between silk protein sequences, mesoscopic assemblies, and macroscopic material properties are provided for guiding de novo design and engineering of next‐generation spider silk materials. This review also emphasizes the challenges and future perspectives for advancing the translational research on these designer functional materials for diverse applications. [ABSTRACT FROM AUTHOR]

Annotating active sites in enzymes is crucial for advancing multiple fields including drug discovery, disease research, enzyme engineering, and synthetic biology. Despite the development of numerous automated annotation algorithms, a significant trade-off between speed and accuracy limits their large-scale practical applications. We introduce EasIFA, an enzyme active site annotation algorithm that fuses latent enzyme representations from the Protein Language Model and 3D structural encoder, and then aligns protein-level information with the knowledge of enzymatic reactions using a multi-modal cross-attention framework. EasIFA outperforms BLASTp with a 10-fold speed increase and improved recall, precision, f1 score, and MCC by 7.57%, 13.08%, 9.68%, and 0.1012, respectively. It also surpasses empirical-rule-based algorithm and other state-of-the-art deep learning annotation method based on PSSM features, achieving a speed increase ranging from 650 to 1400 times while enhancing annotation quality. This makes EasIFA a suitable replacement for conventional tools in both industrial and academic settings. EasIFA can also effectively transfer knowledge gained from coarsely annotated enzyme databases to smaller, high-precision datasets, highlighting its ability to model sparse and high-quality databases. Additionally, EasIFA shows potential as a catalytic site monitoring tool for designing enzymes with desired functions beyond their natural distribution. Wang et al. propose EasIFA, an efficient enzyme active site annotation algorithm, to advance various fields including drug discovery, disease research, enzyme engineering, and synthetic biology. [ABSTRACT FROM AUTHOR]

Protein expression in vivo is predominately controlled via regulatory feedback mechanisms that adjust the level of mRNA transcription. However for positive sense single-stranded RNA viruses, protein expression is often controlled via secondary structural elements, such as internal ribosomal entry sites, that are encoded within the mRNA. The self-regulation of mRNA translation observed in this class of viruses suggests that it may be possible to design mRNAs that self-regulate their protein expression, enabling the creation of mRNAs for vaccines and other synthetic biology applications where protein levels in the cell can be tightly controlled without feedback to a transcriptional mechanism. As a proof of concept, I design a polycistronic mRNA based on bacteriophage MS2, where the upstream gene is capable of repressing synthesis of the downstream gene. Using a computational tool that simulates ribosome kinetics and the co-translational folding of the mRNA in response, I show that mutations to the mRNA can be identified which enhance the efficiency of the translation and the repression of the downstream gene. The results of this study open up the possibility of designing bespoke mRNA gene circuits in which the amount of protein synthesised in cells are self-regulated for therapeutic or antigenic purposes. [ABSTRACT FROM AUTHOR]

Natural language-based generative artificial intelligence (AI) has become increasingly prevalent in scientific research. Intriguingly, capabilities of generative pre-trained transformer (GPT) language models beyond the scope of natural language tasks have recently been identified. Here we explored how GPT-4 might be able to perform rudimentary structural biology modeling. We prompted GPT-4 to model 3D structures for the 20 standard amino acids and an α-helical polypeptide chain, with the latter incorporating Wolfram mathematical computation. We also used GPT-4 to perform structural interaction analysis between the anti-viral nirmatrelvir and its target, the SARS-CoV-2 main protease. Geometric parameters of the generated structures typically approximated close to experimental references. However, modeling was sporadically error-prone and molecular complexity was not well tolerated. Interaction analysis further revealed the ability of GPT-4 to identify specific amino acid residues involved in ligand binding along with corresponding bond distances. Despite current limitations, we show the current capacity of natural language generative AI to perform basic structural biology modeling and interaction analysis with atomic-scale accuracy. [ABSTRACT FROM AUTHOR]

Dermal tattoo biosensors are promising platforms for real‐time monitoring of biomarkers, with skin used as a diagnostic interface. Traditional tattoo sensors have utilized small molecules as biosensing elements. However, the rise of synthetic biology has enabled the potential employment of engineered bacteria as living analytical tools. Exploiting engineered bacterial sensors will allow for potentially more sensitive detection across a broad biomarker range, with advanced processing and sense/response functionalities using genetic circuits. Here, the interfacing of bacterial biosensors as living analytics in tattoos is shown. Engineered bacteria are encapsulated into micron‐scale hydrogel beads prepared through scalable microfluidics. These biosensors can sense both biochemical cues (model biomarkers) and biophysical cues (temperature changes, using RNA thermometers), with fluorescent readouts. By tattooing beads into skin models and confirming sensor activity post‐tattooing, our study establishes a foundation for integrating bacteria as living biosensing entities in tattoos. [ABSTRACT FROM AUTHOR]

Cyanobacteria are important primary producers, contributing to 25% of the global carbon fixation through photosynthesis. They serve as model organisms to study the photosynthesis, and are important cell factories for synthetic biology. To enable efficient genetic dissection and metabolic engineering in cyanobacteria, effective and accurate genetic manipulation tools are required. However, genetic manipulation in cyanobacteria by the conventional homologous recombination-based method and the recently developed CRISPR-Cas gene editing system require complicated cloning steps, especially during multi-site editing and single base mutation. This restricts the extensive research on cyanobacteria and reduces its application potential. In this study, a highly efficient and convenient cytosine base editing system was developed which allows rapid and precise C → T point mutation and gene inactivation in the genomes of Synechocystis and Anabaena. This base editing system also enables efficient multiplex editing and can be easily cured after editing by sucrose counter-selection. This work will expand the knowledge base regarding the engineering of cyanobacteria. The findings of this study will encourage the biotechnological applications of cyanobacteria. An efficient cytosine base editor was developed in cyanobacteria, which allows rapid and precise C → T point mutation and gene inactivation. This genome editing tool will accelerate the metabolic engineering and fundamental researches in cyanobacteria. [ABSTRACT FROM AUTHOR]

Synthetic biology aims to engineer complex biological systems using modular elements, with coiled-coil (CC) dimer-forming modules are emerging as highly useful building blocks in the regulation of protein assemblies and biological processes. Those small modules facilitate highly specific and orthogonal protein-protein interactions, offering versatility for the regulation of diverse biological functions. Additionally, their design rules enable precise control and tunability over these interactions, which are crucial for specific applications. Recent advancements showcase their potential for use in innovative therapeutic interventions and biomedical applications. In this review, we discuss the potential of CCs, exploring their diverse applications in mammalian cells, such as synthetic biological circuit design, transcriptional and allosteric regulation, cellular assemblies, chimeric antigen receptor (CAR) T cell regulation, and genome editing and their role in advancing the understanding and regulation of cellular processes. [Display omitted] In this review, Plaper, Rihtar et al. highlight the modular design of coiled-coil (CC) building blocks and explore their potential for fine-tuning protein interactions and biological processes in mammalian cells. These tools hold promise for advancing bioengineering and biomedical research through applications in synthetic biology and therapeutic development. [ABSTRACT FROM AUTHOR]

Both machine learning and mechanistic modelling approaches have been used independently with great success in systems biology. Machine learning excels in deriving statistical relationships and quantitative prediction from data, while mechanistic modelling is a powerful approach to capture knowledge and infer causal mechanisms underpinning biological phenomena. Importantly, the strengths of one are the weaknesses of the other, which suggests that substantial gains can be made by combining machine learning with mechanistic modelling, a field referred to as Scientific Machine Learning (SciML). In this review we discuss recent advances in combining these two approaches for systems biology, and point out future avenues for its application in the biological sciences. [ABSTRACT FROM AUTHOR]

The development of cross-reactive vaccines is one of the central aims of modern vaccinology. Continuous mutation and the emergence of new SARS-CoV-2 variants and subvariants create the problem of universal coronavirus vaccine design. Previously, the authors devised three recombinant coronavirus antigens, which were based on the sequence collected in 2019 (the Wuhan variant) and produced in an E. coli bacterial expression system. The present work has shown, for the first time, that these recombinant antigens induce the production of antibodies that clearly interact with produced in CHO full-length S-protein of the Omicron variant. The immunogenicity of these recombinant antigens was studied in formulations with different adjuvants: Freund's adjuvant, Al(OH)3 and an adjuvant based on spherical particles (SPs), which are structurally modified plant virus. All adjuvanted formulations effectively stimulated Omicron-specific IgG production in mice. These universal coronavirus antigens could be considered the main component for the further development of broad-spectrum coronavirus vaccines for the prevention of SARS-CoV-2 infection. The present work also provides evidence that the synthetic biology approach is a promising strategy for the development of highly cross-reactive vaccines. Moreover, it is important to note that the bacterial expression system might be appropriate for the production of antigenically active universal antigens. [ABSTRACT FROM AUTHOR]

Bacteria‐initiated cancer therapy has been demonstrated high therapeutic efficacy against cancer. However, the undesired therapeutic efficacy and induced systematic inflammation storm compromise the therapeutic effect and outcome. Herein, a thermally‐activated living nanomedicine composed of reactive biohybrid (designated as Sa@FeS) is rationally designed and engineered for enhancing hydrogen sulfide (H2S)‐combined chemodynamic oncotherapy by biomineralizing ferrous sulfide nanoparticles (FeS NPs) onto the surface of a Salmonella typhimurium strain (Sa) without reducing bacterial activity. Ascribed to the deep penetration capability of Sa, FeS NPs facilitate photothermally‐enhanced catalytic Fenton reaction of decomposing endogenous H2O2 into cytotoxic hydroxyl radicals deep in tumor tissues upon near infrared irradiation. Meanwhile, Sa bacteria maintain sustained H2S release within tumor for achieving H2S‐induced intracellular acidosis that favors the generation of reactive oxygen species synergistically. Of note, the thermally‐triggered all‐in‐one strategy effectively inhibits bacterial viability, thus reducing the risk of systematic inflammation storm and ensuring biosafety. Therefore, the engineered nano‐bacteria living system exerts the thermally‐enhanced nanocatalytic and gas therapies to effectively eradicate tumors, providing a distinct paradigm for the combination of synthetic biology and nanomedicine in tumor therapy. [ABSTRACT FROM AUTHOR]

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Advancements in D-allulose production have seen significant strides in recent years, focusing on enzymatic conversion methods. Key developments include traditional immobilization techniques, the discovery of novel enzymes, directed evolution studies, and biosynthesis through metabolic pathway modification. Enzymatic conversion, particularly utilizing D-allulose 3-epimerase, remains fundamental for industrial-scale production. Innovative immobilization strategies, such as functionalized nano-beads and magnetic MOF nanoparticles, have significantly enhanced enzyme stability and reusability. Directed evolution has led to improved enzyme thermostability and catalytic efficiency, while synthetic biology methods, including phosphorylation-driven and thermodynamics-driven pathways, have optimized production processes. High-throughput screening methods have been crucial in identifying and refining enzyme variants for industrial applications. Collectively, these advancements not only enhance production efficiency and cost-effectiveness but also adhere to sustainable and economically viable manufacturing practices. The past five years have witnessed critical developments with significant potential impact on the commercial viability and global demand for allulose. [ABSTRACT FROM AUTHOR]

Unnatural product (uNP) nonribosomal peptides promise to be a valuable source of pharmacophores for drug discovery. However, the extremely large size and complexity of the nonribosomal peptide synthetase (NRPS) enzymes pose formidable challenges to the production of such uNPs by combinatorial biosynthesis and synthetic biology. Here we report a new NRPS dissection strategy that facilitates the engineering and heterologous production of these NRPSs. This strategy divides NRPSs into "splitting units", each forming an enzyme subunit that contains catalytically independent modules. Functional collaboration between the subunits is then facilitated by artificially duplicating, at the N‐terminus of the downstream subunit, the linker ‐ thiolation domain ‐ linker fragment that is resident at the C‐terminus of the upstream subunit. Using the suggested split site that follows a conserved motif in the linker connecting the adenylation and the thiolation domains allows cognate or chimeric splitting unit pairs to achieve productivities that match, and in many cases surpass those of hybrid chimeric enzymes, and even those of intact NRPSs, upon production in a heterologous chassis. Our strategy provides facile options for the rational engineering of fungal NRPSs and for the combinatorial reprogramming of nonribosomal peptide production. [ABSTRACT FROM AUTHOR]

AbstractNatural 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. [ABSTRACT FROM AUTHOR]

Naringenin is a plant polyphenol, widely explored due to its interesting biological activities, namely anticancer, antioxidant, and anti-inflammatory. Due to its potential applications and attempt to overcome the industrial demand, there has been an increased interest in its heterologous production. The microbial biosynthetic pathway to produce naringenin is composed of tyrosine ammonia-lyase (TAL), 4-coumarate-CoA ligase (4CL), chalcone synthase (CHS), and chalcone isomerase (CHI). Herein, we targeted the efficient de novo production of naringenin in Escherichia coli by performing a step-by-step validation and optimization of the pathway. For that purpose, we first started by expressing two TAL genes from different sources in three different E. coli strains. The highest p-coumaric acid production (2.54 g/L) was obtained in the tyrosine-overproducing M-PAR-121 strain carrying TAL from Flavobacterium johnsoniae (FjTAL). Afterwards, this platform strain was used to express different combinations of 4CL and CHS genes from different sources. The highest naringenin chalcone production (560.2 mg/L) was achieved by expressing FjTAL combined with 4CL from Arabidopsis thaliana (At4CL) and CHS from Cucurbita maxima (CmCHS). Finally, different CHIs were tested and validated, and 765.9 mg/L of naringenin was produced by expressing CHI from Medicago sativa (MsCHI) combined with the other previously chosen genes. To our knowledge, this titer corresponds to the highest de novo production of naringenin reported so far in E. coli. Key points: • Best enzyme and strain combination were selected for de novo naringenin production. • After genetic and operational optimizations, 765.9 mg/L of naringenin was produced. • This de novo production is the highest reported so far in E. coli. [ABSTRACT FROM AUTHOR]

Natural melanin polymers, biosynthesized from free tyrosine, assemble into microstructures that interact with light, producing a wide range of photonic properties. These structures are formed by mechanisms that are difficult to control to create new optical materials. Here, simple pentapeptides YXXXY is presented, where the XXX controls self‐assembly into microstructures, after which the Y's are polymerized by tyrosinase into melanin. It sought to computationally predict peptides that will assemble into two‐layer films that exhibit structural color and infrared (IR) scattering. Three peptides (YPIIY, YLPIY, YVPAY) are synthesized and found to form a two‐layer film exhibiting structural color. YLPIY‐melanin also forms a stable coating with scattering peaks in the near‐ and mid‐IR. This coating reduces the signature of a hotplate (37 °C) as seen by a thermal camera. This synthetic peptidic material is the first to exhibit IR‐scattering, opening the possibility of incorporating this function into bio‐compatible fibers, textiles, and plastics. [ABSTRACT FROM AUTHOR]

Peptide natural products have a wide range of useful applications as pesticides, veterinary agents, pharmaceuticals, and bioproducts. To discover new natural products, manipulate them for analog generation, and to harness the potential of these bioactive compounds for synthetic biology, it is necessary to develop robust methods for the expression of biosynthetic genes. Cell-free synthetic biology is emerging as an important complementary approach because it is highly desirable to express protein on a more rapid timescale and does not rely upon the genetic tractability of a strain thus improving the throughput of design-buildtest-learn cycles. Additionally, generating metabolites outside the cell can overcome issues such as cellular toxicity which can hamper applications like antibiotic development. In this review, we focus on the cell-free production of peptide natural products generated by non-ribosomal peptide synthetase. Nonribsomal peptides are biosynthesized by non-ribosomal peptide synthetases which are large "mega" enzymes that provide specific challenges to heterologous expression. First, we summarize NRPSs and their corresponding peptide metabolites that are expressed in cell-free systems. With that, we discuss the requirements and challenges to express such large proteins in cell-free protein synthesis as well as host machineries that have been developed for cell-free protein synthesis that could be particularly relevant to generating non-ribosomal peptide metabolites in the future. The development of cellfree systems can then be used for prototyping to accelerate efforts towards engineered biosynthesis of these complex pathways. [ABSTRACT FROM AUTHOR]