ACS Synthetic Biology最新文献

We introduce a biomolecular circuit for precise control of gene expression in mammalian cells. The circuit leverages the stochiometric interaction between the artificial transcription factor VPR-dCas9 and the anti-CRISPR protein AcrIIA4, enhanced with synthetic coiled-coil domains to boost their interaction, to maintain the expression of a reporter protein constant across diverse experimental conditions, including fluctuations in protein degradation rates and plasmid concentrations, by automatically adjusting its mRNA level. This capability, known as robust perfect adaptation (RPA), is crucial for the stable functioning of biological systems and has wide-ranging implications for biotechnological applications. This system belongs to a class of biomolecular circuits named antithetic integral controllers, and it can be easily adapted to regulate any endogenous transcription factor thanks to the versatility of the CRISPR-Cas system. Finally, we show that RPA also holds in cells genomically integrated with the circuit, thus paving the way for practical applications in biotechnology that require stable cell lines.

In metabolic engineering, increasing chemical production usually involves manipulating the expression levels of key enzymes. However, limited synthetic tools exist for modulating enzyme activity beyond the transcription level. Inspired by natural post-translational mechanisms, we present targeted enzyme degradation mediated by optically controlled nanobodies. We applied this method to a branched biosynthetic pathway, deoxyviolacein, and observed enhanced product specificity and yield. We then extend the biosynthesis pathway to violacein and show how simultaneous degradation of two target enzymes can further shift production profiles. Through the redirection of metabolic flux, we demonstrate how targeted enzyme degradation can be used to minimize unwanted intermediates and boost the formation of desired products.

Bacteria in the gastrointestinal tract play a crucial role in intestinal motility, homeostasis, and dysfunction. Unraveling the mechanisms by which microbes impact the host poses many challenges due to the extensive array of metabolites produced or metabolized by bacteria in the gut. Here, we describe the engineering of a gut commensal bacterium, Escherichia coli Nissle 1917, to biosynthesize the human metabolite serotonin for examining the effects of microbially produced biogenic amines on host physiology. Upon oral administration to mice, our engineered bacteria reach the large intestine, where they produce serotonin. Mice treated with serotonin-producing bacteria exhibited biological changes in the gut at transcriptional and physiological levels. This work establishes a novel framework employing engineered bacteria to modulate luminal serotonin levels and suggests potential clinical applications of modified microbial therapeutics to address gut disorders in humans.

Typical dammarane-type ginsenosides are well-known tetracyclic triterpenoids with significant pharmacological effects including antitumor, cardiovascular protection, and neuroprotection. Polyene-type ginsenosides exhibit stronger biological activities than common ginsenosides; however, their contents are low, and most are converted from ginsenosides through a series of processing steps, resulting in higher preparation costs. In this study, a dammaradienol synthase, AarOSC20433, was identified for the first time from Artemisia argyi H. Lév. & Vaniot (A. argyi). The high-yielding squalene strain constructed in this study was used as the chassis strain. Yeast heterologous biosynthesis of the polyene-type ginsenoside precursor dammaradienol was achieved via metabolic engineering strategies, including optimization of the terpene supply, increase in copy number of AarOSC20433, and rational enzyme design. Eventually, through replenishment and batch fermentation, the titer of dammaradienol reached 1.037 g/L (4.3 mg/L/OD), laying a solid foundation for the construction of a polyene-type ginsenoside cell factory.

Microbial cell factories provide a nontoxic, economical way for the synthesis of various chemicals and drugs, garnering significant attention from researchers. However, excessive dispersion of enzymes and accumulation of intermediate metabolites in the production process will weaken the reaction efficiency of the pathway enzyme. In this study, a cellular compartment was constructed to isolate the enzyme reaction space and optimize the modular metabolic synthesis. First, a special spider silk protein was designed and constructed to form protein condensates in microbial cells, and its synthetic microcompartment effects were investigated. Second, the interaction of short peptide pairs or direct fusion based on the silk protein was used to recruit a variety of enzymes to improve the efficiency of enzyme catalysis. Third, the 2'-fucosyllactose (2'-FL) de novo synthesis pathway and its modular optimization were carried out to verify the mode. Finally, a synthetic compartment was introduced into the pathway to directly aggregate the 2'-FL synthesis pathway, thus obtaining synthetic-compartment-mediated multienzyme aggregates. The experimental results showed that the titer of 2'-FL was significantly improved compared with those of wild-type and modular-optimized free enzymes. The utilization of this cell microcompartment offers a novel avenue for the aggregation of diverse enzymes, thereby offering an innovative approach for enhancing the efficiency of the microbial modular metabolic pathway.

The use of one-carbon (C1) feedstocks, including carbon dioxide (CO₂), carbon monoxide (CO), formate (HCO₂H), methanol (CH₃OH), and methane (CH₄), presents a significant opportunity for sustainable bioproduction and environmental conservation. This Perspective explores the development of biological methods for converting C1 feedstocks into valuable products, emphasizing major progress from engineering native C1 assimilation pathways to the creation of synthetic autotrophs and methylotrophs that utilize these carbon sources. Additionally, we discuss hybrid approaches that merge biological and electrochemical systems, particularly for the conversion of CO₂. This Perspective underscores the importance of C1 bioconversion in promoting sustainable biotechnological strategies for a low-carbon future.

The study of ecosystems, both natural and artificial, has historically been mediated by population dynamics theories. In this framework, quantifying population numbers and related variables (associated with metabolism or biological-environmental interactions) plays a central role in measuring and predicting system-level properties. As we move toward advanced technological engineering of cells and organisms, the possibility of bioengineering ecosystems (from the gut microbiome to wildlands) opens several questions that will require quantitative models to find answers. Here, we present a comprehensive survey of quantitative modeling approaches for managing three kinds of synthetic ecosystems, sharing the presence of engineered strains. These include test tube examples of ecosystems hosting a relatively low number of interacting species, mesoscale closed ecosystems (or ecospheres), and macro-scale, engineered ecosystems. The potential outcomes of synthetic ecosystem designs and their limits will be relevant to different disciplines, including biomedical engineering, astrobiology, space exploration and fighting climate change impacts on endangered ecosystems. We propose a space of possible ecosystems that captures this broad range of scenarios and a tentative roadmap for open problems and further exploration.

Ribosome arrest peptides (RAPs) such as the SecM arrest peptide (SecM AP: FSTPVWISQAQGIRAGP) and WPPP with consecutive Pro residues are known to induce translational stalling in Escherichia coli. We demonstrate that the translation-enhancing SKIK peptide tag, which consists of four amino acid residues Ser-Lys-Ile-Lys, effectively alleviates translational arrest caused by WPPP. Moreover, the proximity between SKIK and WPPP significantly influences the extent of this alleviation, observed in both PURE cell-free protein synthesis and in vivo protein production systems, resulting in a substantial increase in the yield of proteins containing such RAPs. Furthermore, we unveil that nascent SKIK peptide tag and translation elongation factor P (EF-P) alleviate ribosome stalling in consecutive-Pro-rich protein to synergistically promote translation. A kinetic analysis based on the generation of superfolder green fluorescent protein under in vitro translation reaction reveals that the ribosome turnover is enhanced by more than 10-fold when the SKIK peptide tag is positioned immediately upstream of the SecM AP sequence. Our findings provide valuable insights into optimizing protein production processes, which are essential for advancing synthetic biology applications.

Blue light illumination can be detected by light-oxygen-voltage (LOV) photosensing proteins and translated into a range of biochemical responses, facilitating the generation of novel optogenetic tools to control cellular function. Here, we develop new variants of our previously described VP-EL222 light-dependent transcription factor and apply them to study the phosphate-responsive signaling (PHO) pathway in the budding yeast Saccharomyces cerevisiae, exemplifying the utilities of these new tools. Focusing first on the VP-EL222 protein itself, we quantified the tunability of gene expression as a function of light intensity and duration and demonstrated that this system can tolerate the addition of substantially larger effector domains without impacting function. We further demonstrated the utility of several EL222-driven transcriptional controllers in both plasmid and genomic settings, using the PHO5 and PHO84 promoters in their native chromosomal contexts as examples. These studies highlight the utility of light-controlled gene activation using EL222 tethered to either artificial transcription domains or yeast activator proteins (Pho4). Similarly, we demonstrate the ability to optogenetically repress gene expression with EL222 fused to the yeast Ume6 protein. We finally investigated the effects of moving EL222 recruitment sites to different locations within the PHO5 and PHO84 promoters, as well as determining how this artificial light-controlled regulation could be integrated with the native controls dependent on inorganic phosphate (P_i) availability. Taken together, our work expands the applicability of these versatile optogenetic tools in the types of functionalities that they can deliver and the biological questions that can be probed.

Efficient bioassimilation of one-carbon (C1) feedstocks is often hindered by the toxicity of C1 substrates and/or intermediates. We compared the toxicity of several common C1 substrates/intermediates and found that formaldehyde imposes the highest toxicity on the representative bacterium Escherichia coli. Besides causing chromosomal DNA and protein damage effects, here, we revealed that formaldehyde greatly impairs cell membranes. To this end, here, we sought to remodel the cell membrane of E. coli by introducing a non-native, eukaryote-featured membrane phospholipid composition, phosphatidylcholine (PC). This engineered E. coli strain exhibited significantly increased membrane integrity, resulting in enhanced formaldehyde tolerance. When applied to C1 assimilation, the PC-harboring E. coli consumed up to 4.7 g/L methanol, which is 23-fold higher than that of the control strain (0.2 g/L). In summary, the present study highlights the detrimental impact of formaldehyde-induced membrane damage and thus underscores the significance of membrane remodeling in enhancing formaldehyde tolerance and facilitating the assimilation of C1 substrates.