Molecular tools for pathway engineering in Saccharomyces cerevisiae

Improving homology-directed repair by small molecule agents for genetic engineering in unconventional yeast?-Learning from the engineering of mammalian systems

The ability to precisely edit genomes by deleting or adding genetic information enables the study of biological functions and the building of efficient cell factories. In many unconventional yeasts, such as those promising new hosts for cell factory design but also human pathogenic yeasts and food spoilers, this progress has been limited by the fact that most yeasts favour non-homologous end joining (NHEJ) over homologous recombination (HR) as a DNA repair mechanism, impairing genetic access to these hosts. In mammalian cells, small molecules that either inhibit proteins involved in NHEJ, enhance protein function in HR, or arrest the cell cycle in HR-dominant phases are regarded as promising agents for the simple and transient increase of HR-mediated genome editing without the need for a priori host engineering. Only a few of these chemicals have been applied to the engineering of yeast, although the targeted proteins are mostly conserved, making chemical agents a yet-underexplored area for enhancing yeast engineering. Here, we consolidate knowledge of the available small molecules that have been used to improve HR efficiency in mammalian cells and the few ones that have been used in yeast. We include available high-throughput-compatible NHEJ/HR quantification assays that could be used to screen for and isolate yeast-specific inhibitors.

Promoters and introns as key drivers for enhanced gene expression in Saccharomyces cerevisiae

The transcription of genes in the yeast Saccharomyces cerevisiae is governed by multiple layers of regulatory elements and proteins, cooperating to ensure optimum expression of the final protein product based on the cellular requirements. Promoters have always been regarded as the most important determinant of gene transcription, but introns also play a key role in the expression of intron-encoding genes. Some introns can enhance transcription when introduced either promoter-proximal or embedded in the open reading frame of genes. However, the outcome is seldom predictable, with some introns increasing or decreasing transcription depending on the promoter and reporter gene employed. This chapter provides an overview of the general structure and function of promoters and introns and how they may cooperate during transcription to allow intron-mediated enhancement of gene expression. Since S. cerevisiae is a suitable host for recombinant protein production on a commercial level, stronger and more controllable promoters are in high demand. Enhanced gene expression can be achieved via promoter engineering, which may include introns that increase the efficacy of recombinant expression cassettes. Different models for the role of introns in transcription are briefly discussed to show how these intervening sequences can actively interact with the transcription machinery. Furthermore, recent examples of improved protein production via the introduction of promoter-proximal introns are highlighted to showcase the potential value of intron-mediated enhancement of gene expression.

Computational structural-based GPCR optimization for user-defined ligand: Implications for the development of biosensors

Organisms have developed effective mechanisms to sense the external environment. Human-designed biosensors exploit this natural optimization, where different biological machinery have been adapted to detect the presence of user-defined molecules. Specifically, the pheromone pathway in the model organism Saccharomyces cerevisiae represents a suitable candidate as a synthetic signaling system. Indeed, it expresses just one G-Protein Coupled Receptor (GPCR), Ste2, able to recognize pheromone and initiate the expression of pheromone-dependent genes. To date, the standard procedure to engineer this system relies on the substitution of the yeast GPCR with another one and on the modification of the yeast G-protein to bind the inserted receptor. Here, we propose an innovative computational procedure, based on geometrical and chemical optimization of protein binding pockets, to select the amino acid substitutions required to make the native yeast GPCR able to recognize a user-defined ligand. This procedure would allow the yeast to recognize a wide range of ligands, without a-priori knowledge about a GPCR recognizing them or the corresponding G protein. We used Monte Carlo simulations to design on Ste2 a binding pocket able to recognize epinephrine, selected as a test ligand. We validated Ste2 mutants via molecular docking and molecular dynamics. We verified that the amino acid substitutions we identified make Ste2 able to accommodate and remain firmly bound to epinephrine. Our results indicate that we sampled efficiently the huge space of possible mutants, proposing such a strategy as a promising starting point for the development of a new kind of S.cerevisiae-based biosensors.

Fungi and cancer

The microbiome may impact cancer development, progression and treatment responsiveness, but its fungal components remain insufficiently studied in this context. In this review, we highlight accumulating evidence suggesting a possible involvement of commensal and pathogenic fungi in modulation of cancer-related processes. We discuss the mechanisms by which fungi can influence tumour biology, locally by activity exerted within the tumour microenvironment, or remotely through secretion of bioactive metabolites, modulation of host immunity and communications with neighbouring bacterial commensals. We examine prospects of utilising fungi-related molecular signatures in cancer diagnosis, patient stratification and assessment of treatment responsiveness, while highlighting challenges and limitations faced in performing such research. In all, we demonstrate that fungi likely constitute important members of mucosal and tumour-residing microbiomes. Exploration of fungal inter-kingdom interactions with the bacterial microbiome and the host and decoding of their causal impacts on tumour biology may enable their harnessing into cancer diagnosis and treatment.

Engineered Artificial Membraneless Organelles in Saccharomyces cerevisiae To Enhance Chemical Production

Microbial cell factories provide a green and sustainable opportunity to produce value-added products from renewable feedstock. However, the leakage of toxic or volatile intermediates decreases the efficiency of microbial cell factories. In this study, membraneless organelles (MLOs) were reconstructed in Saccharomyces cerevisiae by the disordered protein sequence A-IDPs. A regulation system was designed to spatiotemporally regulate the size and rigidity of MLOs. Manipulating the MLO size of strain ZP03-FM, the amounts of assimilated methanol and malate were increased by 162 % and 61 %, respectively. Furthermore, manipulating the MLO rigidity in strain ZP04-RB made acetyl-coA synthesis from oxidative glycolysis change to non-oxidative glycolysis; consequently, CO₂ release decreased by 35 % and the n-butanol yield increased by 20 %. This artificial MLO provides a strategy for the co-localization of enzymes to channel C₁ starting materials into value-added chemicals.

Design of Four Small-Molecule-Inducible Systems in the Yeast Chromosome, Applied to Optimize Terpene Biosynthesis

The optimization of cellular functions often requires the balancing of gene expression, but the physical construction and screening of alternative designs are costly and time-consuming. Here, we construct a strain of Saccharomyces cerevisiae that contains a "sensor array" containing bacterial regulators that respond to four small-molecule inducers (vanillic acid, xylose, aTc, IPTG). Four promoters can be independently controlled with low background and a 40- to 5000-fold dynamic range. These systems can be used to study the impact of changing the level and timing of gene expression without requiring the construction of multiple strains. We apply this approach to the optimization of a four-gene heterologous pathway to the terpene linalool, which is a flavor and precursor to energetic materials. Using this approach, we identify bottlenecks in the metabolic pathway. This work can aid the rapid automated strain development of yeasts for the bio-manufacturing of diverse products, including chemicals, materials, fuels, and food ingredients.

Bottom-Up Design: A Modular Golden Gate Assembly Platform of Yeast Plasmids for Simultaneous Secretion and Surface Display of Distinct FAP Fusion Proteins

A need in synthetic biology is the ability to precisely and efficiently make flexible fully designed vectors that addresses challenging cloning strategies of single plasmids that rely on combinatorial co-expression of a multitude of target and bait fusion reporters useful in projects like library screens. For these strategies, the regulatory elements and functional components need to correspond perfectly to project specific sequence elements that facilitate easy exchange of these elements. This requires systematic implementation and building on recent improvements in Golden Gate (GG) that ensures high cloning efficiency for such complex vectors. Currently, this is not addressed in the variety of molecular GG cloning techniques in synthetic biology. Here, we present the bottom-up design and plasmid synthesis to prepare 10 kb functional yeast secrete and display plasmids that uses an optimized version of GG in combination with fluorogen-activating protein reporter technology. This allowed us to demonstrate nanobody/target protein interactions in a single cell, as detected by cell surface retention of secreted target proteins by cognate nanobodies. This validates the GG constructional approach and suggests a new approach for discovering protein interactions. Our GG assembly platform paves the way for vector-based library screening and can be used for other recombinant GG platforms.

Evaluating and engineering Saccharomyces cerevisiae promoters for increased amylase expression and bioethanol production from raw starch

Bioethanol production from starchy biomass via consolidated bioprocessing (CBP) will benefit from amylolytic Saccharomyces cerevisiae strains that produce high levels of recombinant amylases. This could be achieved by using strong promoters and modification thereof to improve gene expression under industrial conditions. This study evaluated eight endogenous S. cerevisiae promoters for the expression of a starch-hydrolysing α-amylase gene. A total of six of the native promoters were modified to contain a promoter-proximal intron directly downstream of the full-length promoter. Varying results were obtained; four native promoters outperformed the ENO1P benchmark under aerobic conditions and two promoters showed better expression under simulated CBP conditions. The addition of the RPS25A intron significantly improved the expression from most promoters, displaying increased transcript levels, protein concentrations and amylase activities. Raw starch-utilising strains were constructed through co-expression of selected α-amylase cassettes and a glucoamylase gene. The amylolytic strains displayed improved fermentation vigour on raw corn starch and broken rice, reaching 97% of the theoretical ethanol yield and converting 100% of the available carbon to products within 120 h in small-scale CBP fermentations on broken rice. This study showed that enhanced amylolytic strains for the conversion of raw starch to ethanol can be achieved through turnkey promoter selection and/or engineering.

Fine-tuning the expression of pathway gene in yeast using a regulatory library formed by fusing a synthetic minimal promoter with different Kozak variants

BACKGROUND

Tailoring gene expression to balance metabolic fluxes is critical for the overproduction of metabolites in yeast hosts, and its implementation requires coordinated regulation at both transcriptional and translational levels. Although synthetic minimal yeast promoters have shown many advantages compared to natural promoters, their transcriptional strength is still limited, which restricts their applications in pathway engineering.

RESULTS

In this work, we sought to expand the application scope of synthetic minimal yeast promoters by enhancing the corresponding translation levels using specific Kozak sequence variants. Firstly, we chose the reported UAS_F-E-C-Core1 minimal promoter as a library template and determined its Kozak motif (K₀). Next, we randomly mutated the K₀ to generate a chimeric promoter library, which was able to drive green fluorescent protein (GFP) expression with translational strengths spanning a 500-fold range. A total of 14 chimeric promoters showed at least two-fold differences in GFP expression strength compared to the K₀ control. The best one named K₅₂₈ even showed 8.5- and 3.3-fold increases in fluorescence intensity compared with UAS_F-E-C-Core1 and the strong native constitutive promoter P_TDH3, respectively. Subsequently, we chose three representative strong chimeric promoters (K₅₄₀, K₅₃₆, and K₅₂₈) from this library to regulate pathway gene expression. In conjunction with the tHMG1 gene for squalene production, the K₅₂₈ variant produced the best squalene titer of 32.1 mg/L in shake flasks, which represents a more than 10-fold increase compared to the parental K₀ control (3.1 mg/L).

CONCLUSIONS

All these results demonstrate that this chimeric promoter library developed in this study is an effective tool for pathway engineering in yeast.

Exchange of endogenous and heterogeneous yeast terminators in Pichia pastoris to tune mRNA stability and gene expression

In the yeast Saccharomyces cerevisiae, terminator sequences not only terminate transcription but also affect expression levels of the protein-encoded upstream of the terminator. The non-conventional yeast Pichia pastoris (syn. Komagataella phaffii) has frequently been used as a platform for metabolic engineering but knowledge regarding P. pastoris terminators is limited. To explore terminator sequences available to tune protein expression levels in P. pastoris, we created a 'terminator catalog' by testing 72 sequences, including terminators from S. cerevisiae or P. pastoris and synthetic terminators. Altogether, we found that the terminators have a tunable range of 17-fold. We also found that S. cerevisiae terminator sequences maintain function when transferred to P. pastoris. Successful tuning of protein expression levels was shown not only for the reporter gene used to define the catalog but also using betaxanthin production as an example application in pathway flux regulation. Moreover, we found experimental evidence that protein expression levels result from mRNA abundance and in silico evidence that levels reflect the stability of mRNA 3'-UTR secondary structure. In combination with promoter selection, the novel terminator catalog constitutes a basic toolbox for tuning protein expression levels in metabolic engineering and synthetic biology in P. pastoris.

A roadmap to engineering antiviral natural products synthesis in microbes

Natural products continue to be the inspirations for us to discover and acquire new drugs. The seemingly unstoppable viruses have kept records high to threaten human health and well-being. The diversity and complexity of natural products (NPs) offer remarkable efficacy and specificity to target viral infection steps and serve as excellent source for antiviral agents. The discovery and production of antiviral NPs remain challenging due to low abundance in their native hosts. Reconstruction of NP biosynthetic pathways in microbes is a promising solution to overcome this limitation. In this review, we surveyed 23 most prominent NPs (from more than 200 antiviral NP candidates) with distinct antiviral mode of actions and summarized the recent metabolic engineering effort to produce these compounds in various microbial hosts. We envision that the scalable and low-cost production of novel antiviral NPs, enabled by metabolic engineering, may light the hope to control and eradicate the deadliest viruses that plague our society and humanity.

The Model System Saccharomyces cerevisiae Versus Emerging Non-Model Yeasts for the Production of Biofuels

Microorganisms are effective platforms for the production of a variety of chemicals including biofuels, commodity chemicals, polymers and other natural products. However, deep cellular understanding is required for improvement of current biofuel cell factories to truly transform the Bioeconomy. Modifications in microbial metabolic pathways and increased resistance to various types of stress caused by the production of these chemicals are crucial in the generation of robust and efficient production hosts. Recent advances in systems and synthetic biology provide new tools for metabolic engineering to design strategies and construct optimal biocatalysts for the sustainable production of desired chemicals, especially in the case of ethanol and fatty acid production. Yeast is an efficient producer of bioethanol and most of the available synthetic biology tools have been developed for the industrial yeast Saccharomyces cerevisiae. Non-conventional yeast systems have several advantageous characteristics that are not easily engineered such as ethanol tolerance, low pH tolerance, thermotolerance, inhibitor tolerance, genetic diversity and so forth. Currently, synthetic biology is still in its initial steps for studies in non-conventional yeasts such as Yarrowia lipolytica, Kluyveromyces marxianus, Issatchenkia orientalis and Pichia pastoris. Therefore, the development and application of advanced synthetic engineering tools must also focus on these underexploited, non-conventional yeast species. Herein, we review the basic synthetic biology tools that can be applied to the standard S. cerevisiae model strain, as well as those that have been developed for non-conventional yeasts. In addition, we will discuss the recent advances employed to develop non-conventional yeast strains that are efficient for the production of a variety of chemicals through the use of metabolic engineering and synthetic biology.

CRISPR-addressable yeast strains with applications in human G protein-coupled receptor profiling and synthetic biology

Genome stability is essential for engineering cell-based devices and reporter systems. With the advent of CRISPR technology, it is now possible to build such systems by installing the necessary genetic parts directly into an organism's genome. Here, we used this approach to build a set of 10 versatile yeast-based reporter strains for studying human G protein-coupled receptors (GPCRs), the largest class of membrane receptors in humans. These reporter strains contain the necessary genetically encoded parts for studying human GPCR signaling in yeast, as well as four CRISPR-addressable expression cassettes, i.e. landing pads, installed at known safe-harbor sites in the yeast genome. We showcase the utility of these strains in two applications. First, we demonstrate that increasing GPCR expression by incrementally increasing GPCR gene copy number potentiates Gα coupling of the pharmacologically dark receptor GPR68. Second, we used two CRISPR-addressable landing pads for autocrine activation of a GPCR (the somatostatin receptor SSTR5) with its peptide agonist SRIF-14. The utility of these reporter strains can be extended far beyond these select examples to include applications such as nanobody development, mutational analysis, drug discovery, and studies of GPCR chaperoning. Additionally, we present a BY4741 yeast strain created for broad applications in the yeast and synthetic biology communities that contains only the four CRISPR-addressable landing pads. The general utility of these yeast strains provides an inexpensive, scalable, and easy means of installing and expressing genes directly from the yeast genome to build genome-barcoded sensors, reporter systems, and cell-based factories.

Reconstruction of the Biosynthetic Pathway of Santalols under Control of the GAL Regulatory System in Yeast

Sandalwood oil has been widely used in perfumery industries and aromatherapy. Santalols are its major components. Herein, we attempted to construct santalol-producing yeasts. To alter flux from predominant triterpenoid/steroid biosynthesis to sesquiterpenoid production, expression of ERG9 (encoding yeast squalene synthase) was depressed by replacing its innate promotor with P_HXT1 and fermenting the resulting strains in galactose-rich media. And the genes related to santalol biosynthesis were overexpressed under control of GAL promotors, which linked santalol biosynthesis to GAL regulatory system. GAL4 (a transcriptional activator of GAL promotors) and PGM2 (a yeast phosphoglucomutase) were overexpressed to overall promote this artificial santalol biosynthetic pathway and enhance galactose uptake. 1.3 g/L santalols and 1.2 g/L Z-α-santalol were achieved in the strain WL17 expressing SaSS (α-santalene synthase from Santalum album) and WL19 expressing SanSyn (α-santalene synthase from Clausena lansium) by fed-batch fermentation, respectively. This study constructed the microbial santalol-producing platform for the first time.

Construction of artificial membrane transport metabolons – an emerging strategy in metabolic engineering

The term ‘membrane transport metabolon’ refers to the physical association of membrane transporters with enzymes that metabolize the transported substrates. In naturally evolved systems, physiological relevance of coupling transport with sequential enzymatic reactions resides, for instance, in faster turnover rates, protection of substrates from competing pathways or shielding the cellular environment from toxic compounds. Such underlying principles offer attractive possibilities for metabolic engineering approaches and concepts for constructing artificial transporter-enzyme complexes are recently being developed. In this minireview, the modes of substrate channeling across biological membranes and design principles for artificial transport metabolons are discussed.

The gal80 Deletion by CRISPR-Cas9 in Engineered Saccharomyces cerevisiae Produces Artemisinic Acid Without Galactose Induction

The clustered regularly interspaced short palindromic repeat (CRISPR)-Cas system has emerged as the dominating tool for genome engineering, while also changes the speed and efficiency of metabolic engineering in conventional and non-conventional yeasts. Among these CRISPR-Cas systems, CRISPR-Cas9 technology has usually been applied for removing unfavorable target genes. Here, we used CRISPR-Cas9 technology to delete the gal80 gene in uracil-deficient strain and had successfully remolded the engineered Saccharomyces cerevisiae that can produce artemisinic acid without galactose induction. An L₉(3⁴) orthogonal test was adopted to investigate the effects of different factors on artemisinic acid production. Fermentation medium III with sucrose as carbon sources, 1% inoculum level, and 84-h culture time were identified as the optimal fermentation conditions. Under this condition, the maximum artemisinic acid production by engineered S. cerevisiae 1211-2 was 740 mg/L in shake-flask cultivation level. This study provided an effective approach to reform metabolic pathway of artemisinic acid-producing strain. The engineered S. cerevisiae 1211-2 may be applied to artemisinic acid production by industrial fermentation in the future.

CITRIC: cold-inducible translational readthrough in the chloroplast of Chlamydomonas reinhardtii using a novel temperature-sensitive transfer RNA

Background

The chloroplast of eukaryotic microalgae such as Chlamydomonas reinhardtii is a potential platform for metabolic engineering and the production of recombinant proteins. In industrial biotechnology, inducible expression is often used so that the translation or function of the heterologous protein does not interfere with biomass accumulation during the growth stage. However, the existing systems used in bacterial or fungal platforms do not transfer well to the microalgal chloroplast. We sought to develop a simple inducible expression system for the microalgal chloroplast, exploiting an unused stop codon (TGA) in the plastid genome. We have previously shown that this codon can be translated as tryptophan when we introduce into the chloroplast genome a trnW_UCA gene encoding a plastidial transfer RNA with a modified anticodon sequence, UCA.

Results

A mutated version of our trnW_UCA gene was developed that encodes a temperature-sensitive variant of the tRNA. This allows transgenes that have been modified to contain one or more internal TGA codons to be translated differentially according to the culture temperature, with a gradient of recombinant protein accumulation from 35 °C (low/off) to 15 °C (high). We have named this the CITRIC system, an acronym for cold-inducible translational readthrough in chloroplasts. The exact induction behaviour can be tailored by altering the number of TGA codons within the transgene.

Conclusions

CITRIC adds to the suite of genetic engineering tools available for the microalgal chloroplast, allowing a greater degree of control over the timing of heterologous protein expression. It could also be used as a heat-repressible system for studying the function of essential native genes in the chloroplast. The genetic components of CITRIC are entirely plastid-based, so no engineering of the nuclear genome is required.

Electronic supplementary material

The online version of this article (10.1186/s12934-018-1033-5) contains supplementary material, which is available to authorized users.