A synthetic promoter system for well-controlled protein expression with different carbon sources in Saccharomyces cerevisiae

Fine-tuning the yeast GAL10 promoter and growth conditions for efficient recombinant membrane protein production and purification

One of the most common issues in producing membrane proteins in heterologous expression systems is the low yield of purified protein. The solubilization efficiency of the recombinant membrane protein from biological membranes is often the limiting step. Here, we study the effects of titration of the GAL10-CYC promoter of Saccharomyces cerevisiae, induction time, and culture media, on the rat mitochondrial uncoupling protein (UCP1) production and solubilization levels. We found that a maximum threshold of solubilized UCP1 (70%) is reached at 0.003% galactose concentration, independently of time, temperature, and detergent-to-protein ratio during solubilization. Supplementation with 0.1% amino acids of the S-lactate medium at induction resumes cell growth and recombinant protein production. The purified UCP1 protein (0.2 mg/L) is homogenous in DDM detergent and active after reconstitution in proteoliposomes. To extend the impact of our findings, we applied the same promoter titration to produce the GFP-AT7B human transporter and found an optimal galactose concentration of 0.0015%. The protein data bank analysis revealed that these galactose concentrations are 300 times lower than usual. We propose a novel strategy for the recombinant production of membrane proteins in the yeast S. cerevisiae, which unlocks the use of this inexpensive eukaryotic host for membrane protein production.

Combining diffusion and transformer models for enhanced promoter synthesis and strength prediction in deep learning

In the field of synthetic biology, the engineering of synthetic promoters that outperform their natural counterparts is of paramount importance, which can optimize the expression of exogenous genes, enhance the efficiency of metabolic pathways, and possess substantial commercial value. Research indicates that some synthetic promoters have higher transcriptional activity compared to strong natural promoters. However, with the exponential increase in complexity due to the 4n potential combinations in a promoter sequence of length n, identifying effective synthetic promoters remains a formidable challenge. Deep learning models, by adaptively learning from extensive data sets, have become instrumental in analyzing biological data. This study introduces a diffusion model-based approach for designing promoters viable in model bacteria such as Escherichia coli and cyanobacteria. This model proficiently assimilates and utilizes inherent biological features from natural promoter sequences to engineer synthetic variants. Additionally, we employed a transformer model to evaluate the efficacy of these synthetic promoters, aiming at screening those with high performance. The experimental findings suggest that the synthetic promoters by the diffusion model not only share key biological features with their natural counterparts but also demonstrate greater similarity to natural promoters than those generated by a variational autoencoder. In predicting promoter strength, the transformer model demonstrated improved performance over the convolutional neural network. Finally, we developed an integrated platform for generating promoters and predicting their strength.

IMPORTANCE

We demonstrated that diffusion models are superior in accomplishing the promoter synthesis task compared to other state-of-the-art deep learning models. The effectiveness of our method was validated using data sets of Escherichia coli and cyanobacteria promoters, showing more stable and prompt convergence and more natural-like promoters than the variational autoencoder model. We extracted sequence information, dimer information, and position information from promoters and combined them with a transformer model to predict promoter strength. Our prediction results were more accurate than those obtained with a convolutional neural network model. Our in silico experiments systematically introduced mutations in promoter sequences and explored their contribution to promoter strength, highlighting the depth of learning in our model.

Transcriptome-Based Mining of the Strong Promoters for Hyperproduction of Gibberellin GA3 in Fusarium fujikuroi

Gibberellin GA3 is a plant growth regulator with significant applications in agriculture, and Fusarium fujikuroi has gained attention as an excellent host for the industrial production of GA3. Although numerous gene-editing tools have been developed, the precise metabolic flux regulation in F. fujikuroi was significantly hindered because the endogenous promoters were rarely identified. In this study, a library containing 20 potential promoters was mined and constructed for the first time through transcriptome sequencing. Using β-glucuronidase as a reporter gene, promoter P10594 showed the highest relative activity and had a stable expression in different media, which was identified as a strong constitutive promoter. Subsequently, P10594 was used to regulate the metabolic flux for GA3 overproduction. The yield reached 0.89 g/L in the shake flask, 17.1% higher than the control strain. Finally, 2.38 g/L GA3 can be obtained in a 5 L bioreactor using the engineered strain FF-2. In general, the work enriched the promoter library in F. fujikuroi and provided help for reshaping the complex metabolic flow.

Untranslated region engineering strategies for gene overexpression, fine-tuning, and dynamic regulation

Precise and tunable gene expression is crucial for various biotechnological applications, including protein overexpression, fine-tuned metabolic pathway engineering, and dynamic gene regulation. Untranslated regions (UTRs) of mRNAs have emerged as key regulatory elements that modulate transcription and translation. In this review, we explore recent advances in UTR engineering strategies for bacterial gene expression optimization. We discuss approaches for enhancing protein expression through AU-rich elements, RG4 structures, and synthetic dual UTRs, as well as ProQC systems that improve translation fidelity. Additionally, we examine strategies for fine-tuning gene expression using UTR libraries and synthetic terminators that balance metabolic flux. Finally, we highlight riboswitches and toehold switches, which enable dynamic gene regulation in response to environmental or metabolic cues. The integration of these UTR-based regulatory tools provides a versatile and modular framework for optimizing bacterial gene expression, enhancing metabolic engineering, and advancing synthetic biology applications.

Cyanamide-inducible expression of homing nuclease I- SceI for selectable marker removal and promoter characterisation in Saccharomyces cerevisiae

In synthetic biology, microbial chassis including yeast Saccharomyces cerevisiae are iteratively engineered with increasing complexity and scale. Wet-lab genetic engineering tools are developed and optimised to facilitate strain construction but are often incompatible with each other due to shared regulatory elements, such as the galactose-inducible (GAL) promoter in S. cerevisiae. Here, we prototyped the cyanamide-induced I- SceI expression, which triggered double-strand DNA breaks (DSBs) for selectable marker removal. We further combined cyanamide-induced I- SceI-mediated DSB and maltose-induced MazF-mediated negative selection for plasmid-free in situ promoter substitution, which simplified the molecular cloning procedure for promoter characterisation. We then characterised three tetracycline-inducible promoters showing differential strength, a non-leaky β-estradiol-inducible promoter, cyanamide-inducible DDI2 promoter, bidirectional MAL32/MAL31 promoters, and five pairs of bidirectional GAL1/GAL10 promoters. Overall, alternative regulatory controls for genome engineering tools can be developed to facilitate genomic engineering for synthetic biology and metabolic engineering applications.

Metabolic engineering for single-cell protein production from renewable feedstocks and its applications

Proteins are indispensable for maintaining a healthy diet and performing crucial functions in a multitude of physiological processes. The growth of the global population and the emergence of environmental concerns have significantly increased the demand for protein-rich foods such as meat and dairy products, exerting considerable pressure on global food supplies. Single-cell proteins (SCP) have emerged as a promising alternative source, characterized by their high protein content and essential amino acids, lipids, carbohydrates, nucleic acids, inorganic salts, vitamins, and trace elements. SCP offers several advantages over the traditional animal and plant proteins. These include shorter production cycles, the use of diverse raw material sources, high energy efficiency, and minimal environmental impact. This review is primarily concerned with the microbial species employed in SCP production, utilization of non-food renewable materials as a source of feedstock, and application of rational and non-rational metabolic engineering strategies to increase SCP biomass and protein content. Moreover, the current applications, production shortages, and safety concerns associated with SCP are discussed.

Engineering artificial cross-species promoters with different transcriptional strengths

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.

LowTempGAL: a highly responsive low temperature-inducible GAL system in Saccharomyces cerevisiae

Temperature is an important control factor for biologics biomanufacturing in precision fermentation. Here, we explored a highly responsive low temperature-inducible genetic system (LowTempGAL) in the model yeast Saccharomyces cerevisiae. Two temperature biosensors, a heat-inducible degron and a heat-inducible protein aggregation domain, were used to regulate the GAL activator Gal4p, rendering the leaky LowTempGAL systems. Boolean-type induction was achieved by implementing a second-layer control through low-temperature-mediated repression on GAL repressor gene GAL80, but suffered delayed response to low-temperature triggers and a weak response at 30°C. Application potentials were validated for protein and small molecule production. Proteomics analysis suggested that residual Gal80p and Gal4p insufficiency caused suboptimal induction. 'Turbo' mechanisms were engineered through incorporating a basal Gal4p expression and a galactose-independent Gal80p-supressing Gal3p mutant (Gal3Cp). Varying Gal3Cp configurations, we deployed the LowTempGAL systems capable for a rapid stringent high-level induction upon the shift from a high temperature (37-33°C) to a low temperature (≤30°C). Overall, we present a synthetic biology procedure that leverages 'leaky' biosensors to deploy highly responsive Boolean-type genetic circuits. The key lies in optimisation of the intricate layout of the multi-factor system. The LowTempGAL systems may be applicable in non-conventional yeast platforms for precision biomanufacturing.

Tailored UPRE2 variants for dynamic gene regulation in yeast

Genetic elements are foundational in synthetic biology serving as vital building blocks. They enable programming host cells for efficient production of valuable chemicals and recombinant proteins. The unfolded protein response (UPR) is a stress pathway in which the transcription factor Hac1 interacts with the upstream unfolded protein response element (UPRE) of the promoter to restore endoplasmic reticulum (ER) homeostasis. Here, we created a UPRE2 mutant (UPRE2m) library. Several rounds of screening identified many elements with enhanced responsiveness and a wider dynamic range. The most active element m84 displayed a response activity 3.72 times higher than the native UPRE2. These potent elements are versatile and compatible with various promoters. Overexpression of HAC1 enhanced stress signal transduction, expanding the signal output range of UPRE2m. Through molecular modeling and site-directed mutagenesis, we pinpointed the DNA-binding residue Lys60 in Hac1(Hac1-K60). We also confirmed that UPRE2m exhibited a higher binding affinity to Hac1. This shed light on the mechanism underlying the Hac1-UPRE2m interaction. Importantly, applying UPRE2m for target gene regulation effectively increased both recombinant protein production and natural product synthesis. These genetic elements provide valuable tools for dynamically regulating gene expression in yeast cell factories.

The kinase Rio1 and a ribosome collision-dependent decay pathway survey the integrity of 18S rRNA cleavage

The 18S rRNA sequence is highly conserved, particularly at its 3'-end, which is formed by the endonuclease Nob1. How Nob1 identifies its target sequence is not known, and in vitro experiments have shown Nob1 to be error-prone. Moreover, the sequence around the 3'-end is degenerate with similar sites nearby. Here, we used yeast genetics, biochemistry, and next-generation sequencing to investigate a role for the ATPase Rio1 in monitoring the accuracy of the 18S rRNA 3'-end. We demonstrate that Nob1 can miscleave its rRNA substrate and that miscleaved rRNA accumulates upon bypassing the Rio1-mediated quality control (QC) step, but not in healthy cells with intact QC mechanisms. Mechanistically, we show that Rio1 binding to miscleaved rRNA is weaker than its binding to accurately processed 18S rRNA. Accordingly, excess Rio1 results in accumulation of miscleaved rRNA. Ribosomes containing miscleaved rRNA can translate, albeit more slowly, thereby inviting collisions with trailing ribosomes. These collisions result in degradation of the defective ribosomes utilizing parts of the machinery for mRNA QC. Altogether, the data support a model in which Rio1 inspects the 3'-end of the nascent 18S rRNA to prevent miscleaved 18S rRNA-containing ribosomes from erroneously engaging in translation, where they induce ribosome collisions. The data also demonstrate how ribosome collisions purify cells of altered ribosomes with different functionalities, with important implications for the concept of ribosome heterogeneity.

Optimizing the Biosynthesis of Dihydroquercetin from Naringenin in Saccharomyces cerevisiae

Dihydroquercetin (DHQ), known for its varied physiological benefits, is widely used in the food, chemical, and pharmaceutical industries. However, the efficiency of the DHQ synthesis is significantly limited by the substantial accumulation of intermediates during DHQ biosynthesis. In this study, DHQ production was achieved by integrating genes from various organisms into the yeast chromosome for the expression of flavanone-3-hydroxylase (F3H), flavonoid-3'-hydroxylase, and cytochrome P450 reductase. A computer-aided protein design approach led to the development of optimal F3H mutant P221A, resulting in a 1.67-fold increase in DHQ yield from naringenin (NAR) compared with the control. Subsequently, by analysis of the enzyme reaction and optimization of the culture medium composition, 637.29 ± 20.35 mg/L DHQ was synthesized from 800 mg/L NAR. This corresponds to a remarkable conversion rate of 71.26%, one of the highest reported values for DHQ synthesis from NAR to date.

Engineering Saccharomyces cerevisiae for efficient production of recombinant proteins

Saccharomyces cerevisiae is an excellent microbial cell factory for producing valuable recombinant proteins because of its fast growth rate, robustness, biosafety, ease of operability via mature genomic modification technologies, and the presence of a conserved post-translational modification pathway among eukaryotic organisms. However, meeting industrial and market requirements with the current low microbial production of recombinant proteins can be challenging. To address this issue, numerous efforts have been made to enhance the ability of yeast cell factories to efficiently produce proteins. In this review, we provide an overview of recent advances in S. cerevisiae engineering to improve recombinant protein production. This review focuses on the strategies that enhance protein production by regulating transcription through promoter engineering, codon optimization, and expression system optimization. Additionally, we describe modifications to the secretory pathway, including engineered protein translocation, protein folding, glycosylation modification, and vesicle trafficking. Furthermore, we discuss global metabolic pathway optimization and other relevant strategies, such as the disruption of protein degradation, cell wall engineering, and random mutagenesis. Finally, we provide an outlook on the developmental trends in this field, offering insights into future directions for improving recombinant protein production in S. cerevisiae.

Engineering Saccharomyces cerevisiae for application in integrated bioprocessing biorefineries

After decades of research and development, no organism - natural or engineered - has been described that can produce commodity products through direct microbial conversion to meet industry demands in terms of rates and yields. Variation in lignocellulosic biomass (LCB) feedstocks, the lack of a widely applicable pretreatment method, and the limited economic value of energy products further complicates second-generation biofuel production. Nevertheless, the emergence of advanced genomic editing tools and a more comprehensive understanding of yeast metabolic systems offer promising avenues for the creation of yeast strains tailored to LCB biorefineries. Here, we discuss recent advances toward developing yeast strains that could convert different LCB fractions into a series of economically viable commodity products in a biorefinery.

Synthetic Promoter Design and Functional Evaluation in Saccharomyces cerevisiae

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

Coproduction of Phase-Separated Carotenoids and β-Farnesene as a Yeast Biomass Valorization Strategy

Valorization, the process whereby waste materials are converted into more valuable products, is rarely practiced in industrial fermentation. We developed a model valorization system whereby Saccharomyces cerevisiae that had previously been engineered to produce high concentrations (>100 g/L) of extracellular β-farnesene was further engineered to simultaneously produce intracellular carotenoids, both products being isoprenoids. Thus, a single fermentation generates two valuable products, namely, β-farnesene in the liquid phase and carotenoids in the solid biomass phase. Initial attempts to produce high levels of canthaxanthin (a ketocarotenoid used extensively in animal feed) in a β-farnesene production strain negatively impacted both biomass growth and β-farnesene production. A refined approach used a promoter titration strategy to reduce β-carotene production to a level that had minimal impact on growth and β-farnesene production in fed-batch fermentations and then engineered the resulting strain to produce canthaxanthin. Further optimization of canthaxanthin coproduction used a bioprospecting approach to identify ketolase enzymes that maximized conversion of β-carotene to canthaxanthin. Finally, we demonstrated that β-carotene is not present in the extracellular β-farnesene at a significant concentration and that which is present can be removed by a simple distillation, indicating that β-farnesene (the primary fermentation product) purity is unaffected by coproduction of carotenoids.

Integration of metabolism and regulation reveals rapid adaptability to growth on non-native substrates

Engineering synthetic heterotrophy is a key to the efficient bio-based valorization of renewable and waste substrates. Among these, engineering hemicellulosic pentose utilization has been well-explored in Saccharomyces cerevisiae (yeast) over several decades-yet the answer to what makes their utilization inherently recalcitrant remains elusive. Through implementation of a semi-synthetic regulon, we find that harmonizing cellular and engineering objectives are a key to obtaining highest growth rates and yields with minimal metabolic engineering effort. Concurrently, results indicate that "extrinsic" factors-specifically, upstream genes that direct flux of pentoses into central carbon metabolism-are rate-limiting. We also reveal that yeast metabolism is innately highly adaptable to rapid growth on non-native substrates and that systems metabolic engineering (i.e., functional genomics, network modeling, etc.) is largely unnecessary. Overall, this work provides an alternate, novel, holistic (and yet minimalistic) approach based on integrating non-native metabolic genes with a native regulon system.

Towards universal synthetic heterotrophy using a metabolic coordinator

Engineering the utilization of non-native substrates, or synthetic heterotrophy, in proven industrial microbes such as Saccharomyces cerevisiae represents an opportunity to valorize plentiful and renewable sources of carbon and energy as inputs to bioprocesses. We previously demonstrated that activation of the galactose (GAL) regulon, a regulatory structure used by this yeast to coordinate substrate utilization with biomass formation during growth on galactose, during growth on the non-native substrate xylose results in a vastly altered gene expression profile and faster growth compared with constitutive overexpression of the same heterologous catabolic pathway. However, this effort involved the creation of a xylose-inducible variant of Gal3p (Gal3pSyn4.1), the sensor protein of the GAL regulon, preventing this semi-synthetic regulon approach from being easily adapted to additional non-native substrates. Here, we report the construction of a variant Gal3pMC (metabolic coordinator) that exhibits robust GAL regulon activation in the presence of structurally diverse substrates and recapitulates the dynamics of the native system. Multiple molecular modeling studies suggest that Gal3pMC occupies conformational states corresponding to galactose-bound Gal3p in an inducer-independent manner. Using Gal3pMC to test a regulon approach to the assimilation of the non-native lignocellulosic sugars xylose, arabinose, and cellobiose yields higher growth rates and final cell densities when compared with a constitutive overexpression of the same set of catabolic genes. The subsequent demonstration of rapid and complete co-utilization of all three non-native substrates suggests that Gal3pMC-mediated dynamic global gene expression changes by GAL regulon activation may be universally beneficial for engineering synthetic heterotrophy.

Engineering an Efficient Expression Using Heterologous GAL Promoters and Transcriptional Activators in Saccharomyces cerevisiae

Galactose-inducible (GAL) promoters have been widely used in metabolic engineering in Saccharomyces cerevisiae for production of valuable products. Endogenous GAL promoters and GAL transcription factors have often been engineered to improve GAL promoter activities. Heterologous GAL promoters and GAL activator (Gal4p-like transcriptional activators), although existing in other yeasts or fungi, have not been well explored. In this study, we comprehensively characterized the activation effects of Gal4p activators from different yeasts or fungi on a variant of GAL promoters. Overexpressing endogenous Gal4p driven by PHHF1 increased the activities of native PGAL1 and heterologous PSkGAL2 by 131.20% and 72.45%, respectively. Furthermore, eight transcriptional activators from different organisms were characterized and most of them exhibited functions that were consistent with ScGal4p. Expression of KlLac9p from Kluyveromyces lactis further increased the activity of PScGAL1 and PSkGAL2 by 41.56% and 100.63%, respectively, compared to ScGal4p expression, and was able to evade Gal80p inhibition. This optimized GAL expression system can be used to increase the production of β-carotene by 9.02-fold in S. cerevisiae. Our study demonstrated that a combination of heterologous transcriptional activators and GAL promoters provided novel insights into the optimization of the GAL expression system.

Overexpression of genes by stress-responsive promoters increases protein secretion in Saccharomyces cerevisiae

Recombinant proteins produced by cell factories are now widely used in various fields. Many efforts have been made to improve the secretion capacity of cell factories to meet the increasing demand for recombinant proteins. Recombinant protein production usually causes cell stress in the endoplasmic reticulum (ER). The overexpression of key genes possibly removes limitations in protein secretion. However, inappropriate gene expression may have negative effects. There is a need for dynamic control of genes adapted to cellular status. In this study, we constructed and characterized synthetic promoters that were inducible under ER stress conditions in Saccharomyces cerevisiae. The unfolded protein response element UPRE2, responding to stress with a wide dynamic range, was assembled with various promoter core regions, resulting in UPR-responsive promoters. Synthetic responsive promoters regulated gene expression by responding to stress level, which reflected the cellular status. The engineered strain using synthetic responsive promoters P_{4UPRE2 - TDH3} and P_{4UPRE2 - TEF1} for co-expression of ERO1 and SLY1 had 95% higher α-amylase production compared with the strain using the native promoters P_TDH3 and P_TEF1. This work showed that UPR-responsive promoters were useful in the metabolic engineering of yeast strains for tuning genes to support efficient protein production.

Genome-wide analysis reveals Hsf1 maintains high transcript abundance of target genes controlled by strong constitutive promoter in Saccharomyces cerevisiae

BACKGROUND

In synthetic biology, the strength of promoter elements is the basis for precise regulation of target gene transcription levels, which in turn increases the yield of the target product. However, the results of many researches proved that excessive transcription levels of target genes actually reduced the yield of the target product. This phenomenon has been found in studies using different microorganisms as chassis cells, thus, it becomes a bottleneck problem to improve the yield of the target product.

RESULTS

In this study, promoters PGK1p and TDH3p with different strengths were used to regulate the transcription level of alcohol acetyl transferase encoding gene ATF1. The results demonstrated that the strong promoter TDH3p decreased the production of ethyl acetate. The results of Real-time PCR proved that the transcription level of ATF1 decreased rapidly under the control of TDH3p, and the unfolded protein reaction was activated, which may be the reason for the abnormal production caused by the strong promoter. RNA-sequencing analysis showed that the overexpression of differential gene HSP30 increased the transcriptional abundance of ATF1 gene and production of ethyl acetate. Interestingly, deletion of the heat shock protein family (e.g., Hsp26, Hsp78, Hsp82) decreased the production of ethyl acetate, suggesting that the Hsp family was also involved in the regulation of ATF1 gene transcription. Furthermore, the results proved that the Hsf1, an upstream transcription factor of Hsps, had a positive effect on alleviating the unfolded protein response and that overexpression of Hsf1 reprogramed the pattern of ATF1 gene transcript levels. The combined overexpression of Hsf1 and Hsps further increased the production of ethyl acetate. In addition, kinase Rim15 may be involved in this regulatory pathway. Finally, the regulation effect of Hsf1 on recombinant strains constructed by other promoters was verified, which confirmed the universality of the strategy.

CONCLUSIONS

Our results elucidated the mechanism by which Rim15-Hsf1-Hsps pathway reconstructed the repression of high transcription level stress and increased the production of target products, thereby providing new insights and application strategies for the construction of recombinant strains in synthetic biology.

Stepwise Optimization of Inducible Expression System for the Functional Secretion of Horseradish Peroxidase in Saccharomyces cerevisiae

Horseradish peroxidase (HRP) is a plant-derived glycoprotein that can be developed as a food additive to cross-link proteins or biopolymers. Although Saccharomyces cerevisiae has advantages in the production of food-grade HRP, the low expressional level and inefficient secretion hindered its application values. After comparing the effects of constitutive and inducible expression on cell growth, the strength of HRP expression was roughly tuned by replacing core regions of the promoter in the GAL80-knockout strain and further finely tuned by terminator screening. Additionally, the most suitable signal peptide was selected, and the pre-peptide with pro-peptides was modified to balance the transport of HRP in the endoplasmic reticulum. The extracellular HRP activity of the best strain reached 13 506 U/L at the fermenter level, 330-fold higher than the previous result of 41 U/L in S. cerevisiae. The strategy can be applied to alleviate the inhibition of cell growth caused by the expression of toxic proteins and improve their secretion.

Natural promoters and promoter engineering strategies for metabolic regulation in Saccharomyces cerevisiae

Sharomyces cerevisiae is currently one of the most important foreign gene expression systems. S. cerevisiae is an excellent host for high-value metabolite cell factories due to its advantages of simplicity, safety, and nontoxicity. A promoter, as one of the basic elements of gene transcription, plays an important role in regulating gene expression and optimizing metabolic pathways. Promoters control the direction and intensity of transcription, and the application of promoters with different intensities and performances will largely determine the effect of gene expression and ultimately affect the experimental results. Due to its significant role, there have been many studies on promoters for decades. While some studies have explored and analyzed new promoters with different functions, more studies have focused on artificially modifying promoters to meet their own scientific needs. Thus, this article reviews current research on promoter engineering techniques and related natural promoters in S. cerevisiae. First, we introduce the basic structure of promoters and the classification of natural promoters. Then, the classification of various promoter strategies is reviewed. Finally, by grouping related articles together using various strategies, this review anticipates the future development direction of promoter engineering.

Metabolic Engineering: Methodologies and Applications

Metabolic engineering aims to improve the production of economically valuable molecules through the genetic manipulation of microbial metabolism. While the discipline is a little over 30 years old, advancements in metabolic engineering have given way to industrial-level molecule production benefitting multiple industries such as chemical, agriculture, food, pharmaceutical, and energy industries. This review describes the design, build, test, and learn steps necessary for leading a successful metabolic engineering campaign. Moreover, we highlight major applications of metabolic engineering, including synthesizing chemicals and fuels, broadening substrate utilization, and improving host robustness with a focus on specific case studies. Finally, we conclude with a discussion on perspectives and future challenges related to metabolic engineering.

Saccharomyces cerevisiae cell surface display technology: Strategies for improvement and applications

Microbial cell surface display technology provides a powerful platform for engineering proteins/peptides with enhanced properties. Compared to the classical intracellular and extracellular expression (secretion) systems, this technology avoids enzyme purification, substrate transport processes, and is an effective solution to enzyme instability. Saccharomyces cerevisiae is well suited to cell surface display as a common cell factory for the production of various fuels and chemicals, with the advantages of large cell size, being a Generally Regarded As Safe (GRAS) organism, and post-translational processing of secreted proteins. In this review, we describe various strategies for constructing modified S. cerevisiae using cell surface display technology and outline various applications of this technology in industrial processes, such as biofuels and chemical products, environmental pollution treatment, and immunization processes. The approaches for enhancing the efficiency of cell surface display are also discussed.