Evaluation of Foreign Gene Codon Optimization in Yeast: Expression of a Mouse IG Kappa Chain

Soluble Expression and Catalytic Properties of Codon-Optimized Recombinant Bromelain from MD2 Pineapple in Escherichia coli

Bromelain, a member of cysteine proteases, is found abundantly in pineapple (Ananas comosus), and it has a myriad of versatile applications. However, attempts to produce recombinant bromelain for commercialization purposes are challenging due to its expressibility and solubility. This study aims to express recombinant fruit bromelain from MD2 pineapple (MD2Bro; accession no: OAY85858.1) in soluble and active forms using Escherichia coli host cell. The gene encoding MD2Bro was codon-optimized, synthesized, and subsequently ligated into pET-32b( +) for further transformation into Escherichia coli BL21-CodonPlus(DE3). Under this strategy, the expressed MD2Bro was in a fusion form with thioredoxin (Trx) tag at its N-terminal (Trx-MD2Bro). The result showed that Trx-MD2Bro was successfully expressed in fully soluble form. The protein was successfully purified using single-step Ni²⁺-NTA chromatography and confirmed to be in proper folds based on the circular dichroism spectroscopy analysis. The purified Trx-MD2Bro was confirmed to be catalytically active against N-carbobenzoxyglycine p-nitrophenyl ester (N-CBZ-Gly-pNP) with a specific activity of 6.13 ± 0.01 U mg^-1 and inhibited by a cysteine protease inhibitor, E-64 (IC₅₀ of 74.38 ± 1.65 nM). Furthermore, the catalytic efficiency (k_cat/K_M) Trx-MD2Bro was calculated to be at 5.64 ± 0.02 × 10^-2 µM^-1 s^-1 while the optimum temperature and pH were at 50 °C and pH 6.0, respectively. Furthermore, the catalytic activity of Trx-MD2Bro was also affected by ethylenediaminetetraacetic acid (EDTA) or metal ions. Altogether it is proposed that the combination of codon optimization and the use of an appropriate vector are important in the production of a soluble and actively stable recombinant bromelain.

Expression and characterization of functional domains of FK506-binding protein 35 from Plasmodium knowlesi

The FK506-binding protein of Plasmodium knowlesi (Pk-FKBP35) is considerably a viable antimalarial drug target, which belongs to the peptidyl-prolyl cis-trans isomerase (PPIase) protein family member. Structurally, this protein consists of an N-terminal FK506-binding domain (FKBD) and a C-terminal tetratricopeptide repeat domain (TPRD). This study aims to decipher functional properties of these domains as a platform for development of novel antimalarial drugs. Accordingly, full-length Pk-FKBP35 as well as its isolated domains, Pk-FKBD and Pk-TPRD were overexpressed, purified, and characterized. The results showed that catalytic PPIase activity was confined to the full-length Pk-FKBP35 and Pk-FKBD, suggesting that the catalytic activity is structurally regulated by the FKBD. Meanwhile, oligomerization analysis revealed that Pk-TPRD is essential for dimerization. Asp55, Arg60, Trp77 and Phe117 in the Pk-FKBD were considerably important for catalysis as underlined by significant reduction of PPIase activity upon mutations at these residues. Further, inhibition activity of Pk-FKBP35 towards calcineurin phosphatase activity revealed that the presence of FKBD is essential for the inhibitory property, while TPRD may be important for efficient binding to calcineurin. We then discussed possible roles of FKBP35 in Plasmodium cells and proposed mechanisms by which the immunosuppressive drug, FK506, interacts with the protein.

Applications of Yeast Synthetic Biology Geared towards the Production of Biopharmaceuticals

Engineered yeast are an important production platform for the biosynthesis of high-value compounds with medical applications. Recent years have witnessed several new developments in this area, largely spurred by advances in the field of synthetic biology and the elucidation of natural metabolic pathways. This minireview presents an overview of synthetic biology applications for the heterologous biosynthesis of biopharmaceuticals in yeast and demonstrates the power and potential of yeast cell factories by highlighting several recent examples. In addition, an outline of emerging trends in this rapidly-developing area is discussed, hinting upon the potential state-of-the-art in the years ahead.

Considerations in the Use of Codon Optimization for Recombinant Protein Expression

Codon optimization is a gene engineering approach that is commonly used for enhancing recombinant protein expression. This approach is possible because (1) degeneracy of the genetic code enables most amino acids to be encoded by multiple codons and (2) different mRNAs encoding the same protein can vary dramatically in the amount of protein expressed. However, because codon optimization potentially disrupts overlapping information encoded in mRNA coding regions, protein structure and function may be altered. This chapter discusses the use of codon optimization for various applications in mammalian cells as well as potential consequences, so that informed decisions can be made on the appropriateness of using this approach in each case.

Codon usage of HIV regulatory genes is not determined by nucleotide composition

Codon usage bias can be a result of either mutational bias or selection for translational efficiency and/or accuracy. Previous data has suggested that nucleotide composition constraint was the main determinant of HIV codon usage, and that nucleotide composition and codon usage were different between the regulatory genes, tat and rev, and other viral genes. It is not clear whether translational selection contributed to the codon usage difference and how nucleotide composition and translational selection interact to determine HIV codon usage. In this study, a model of codon bias due to GC composition with modification for the A-rich third codon position was used to calculate predicted HIV codon frequencies based on its nucleotide composition. The predicted codon usage of each gene was compared with the actual codon frequency. The predicted codon usage based on GC composition matched well with the actual codon frequencies for the structural genes (gag, pol and env). However, the codon usage of the regulatory genes (tat and rev) could not be predicted. Codon usage of the regulatory genes was also relatively unbiased showing the highest effective number of codons (ENC). Moreover, the codon adaptation index (CAI) of the regulatory genes showed better adaptation to human codons when compared to other HIV genes. Therefore, the early expressed genes responsible for regulation of the replication cycle, tat and rev, were more similar to humans in terms of codon usage and GC content than other HIV genes. This may help these genes to be expressed efficiently during the early stages of infection.

A new and updated resource for codon usage tables

Background

Due to the degeneracy of the genetic code, most amino acids can be encoded by multiple synonymous codons. Synonymous codons naturally occur with different frequencies in different organisms. The choice of codons may affect protein expression, structure, and function. Recombinant gene technologies commonly take advantage of the former effect by implementing a technique termed codon optimization, in which codons are replaced with synonymous ones in order to increase protein expression. This technique relies on the accurate knowledge of codon usage frequencies. Accurately quantifying codon usage bias for different organisms is useful not only for codon optimization, but also for evolutionary and translation studies: phylogenetic relations of organisms, and host-pathogen co-evolution relationships, may be explored through their codon usage similarities. Furthermore, codon usage has been shown to affect protein structure and function through interfering with translation kinetics, and cotranslational protein folding.

Results

Despite the obvious need for accurate codon usage tables, currently available resources are either limited in scope, encompassing only organisms from specific domains of life, or greatly outdated. Taking advantage of the exponential growth of GenBank and the creation of NCBI’s RefSeq database, we have developed a new database, the High-performance Integrated Virtual Environment-Codon Usage Tables (HIVE-CUTs), to present and analyse codon usage tables for every organism with publicly available sequencing data. Compared to existing databases, this new database is more comprehensive, addresses concerns that limited the accuracy of earlier databases, and provides several new functionalities, such as the ability to view and compare codon usage between individual organisms and across taxonomical clades, through graphical representation or through commonly used indices. In addition, it is being routinely updated to keep up with the continuous flow of new data in GenBank and RefSeq.

Conclusion

Given the impact of codon usage bias on recombinant gene technologies, this database will facilitate effective development and review of recombinant drug products and will be instrumental in a wide area of biological research. The database is available at hive.biochemistry.gwu.edu/review/codon.

Electronic supplementary material

The online version of this article (doi:10.1186/s12859-017-1793-7) contains supplementary material, which is available to authorized users.

Decoding mechanisms by which silent codon changes influence protein biogenesis and function

SCOPE

Synonymous codon usage has been a focus of investigation since the discovery of the genetic code and its redundancy. The occurrences of synonymous codons vary between species and within genes of the same genome, known as codon usage bias. Today, bioinformatics and experimental data allow us to compose a global view of the mechanisms by which the redundancy of the genetic code contributes to the complexity of biological systems from affecting survival in prokaryotes, to fine tuning the structure and function of proteins in higher eukaryotes. Studies analyzing the consequences of synonymous codon changes in different organisms have revealed that they impact nucleic acid stability, protein levels, structure and function without altering amino acid sequence. As such, synonymous mutations inevitably contribute to the pathogenesis of complex human diseases. Yet, fundamental questions remain unresolved regarding the impact of silent mutations in human disorders. In the present review we describe developments in this area concentrating on mechanisms by which synonymous mutations may affect protein function and human health.

PURPOSE

This synopsis illustrates the significance of synonymous mutations in disease pathogenesis. We review the different steps of gene expression affected by silent mutations, and assess the benefits and possible harmful effects of codon optimization applied in the development of therapeutic biologics.

PHYSIOLOGICAL AND MEDICAL RELEVANCE

Understanding mechanisms by which synonymous mutations contribute to complex diseases such as cancer, neurodegeneration and genetic disorders, including the limitations of codon-optimized biologics, provides insight concerning interpretation of silent variants and future molecular therapies.

A critical analysis of codon optimization in human therapeutics

Codon optimization describes gene engineering approaches that use synonymous codon changes to increase protein production. Applications for codon optimization include recombinant protein drugs and nucleic acid therapies, including gene therapy, mRNA therapy, and DNA/RNA vaccines. However, recent reports indicate that codon optimization can affect protein conformation and function, increase immunogenicity, and reduce efficacy. We critically review this subject, identifying additional potential hazards including some unique to nucleic acid therapies. This analysis highlights the evolved complexity of codon usage and challenges the scientific bases for codon optimization. Consequently, codon optimization may not provide the optimal strategy for increasing protein production and may decrease the safety and efficacy of biotech therapeutics. We suggest that the use of this approach is reconsidered, particularly for in vivo applications.

A condition-specific codon optimization approach for improved heterologous gene expression in Saccharomyces cerevisiae

BACKGROUND

Heterologous gene expression is an important tool for synthetic biology that enables metabolic engineering and the production of non-natural biologics in a variety of host organisms. The translational efficiency of heterologous genes can often be improved by optimizing synonymous codon usage to better match the host organism. However, traditional approaches for optimization neglect to take into account many factors known to influence synonymous codon distributions.

RESULTS

Here we define an alternative approach for codon optimization that utilizes systems level information and codon context for the condition under which heterologous genes are being expressed. Furthermore, we utilize a probabilistic algorithm to generate multiple variants of a given gene. We demonstrate improved translational efficiency using this condition-specific codon optimization approach with two heterologous genes, the fluorescent protein-encoding eGFP and the catechol 1,2-dioxygenase gene CatA, expressed in S. cerevisiae. For the latter case, optimization for stationary phase production resulted in nearly 2.9-fold improvements over commercial gene optimization algorithms.

CONCLUSIONS

Codon optimization is now often a standard tool for protein expression, and while a variety of tools and approaches have been developed, they do not guarantee improved performance for all hosts of applications. Here, we suggest an alternative method for condition-specific codon optimization and demonstrate its utility in Saccharomyces cerevisiae as a proof of concept. However, this technique should be applicable to any organism for which gene expression data can be generated and is thus of potential interest for a variety of applications in metabolic and cellular engineering.

Translation elongation can control translation initiation on eukaryotic mRNAs

Synonymous codons encode the same amino acid, but differ in other biophysical properties. The evolutionary selection of codons whose properties are optimal for a cell generates the phenomenon of codon bias. Although recent studies have shown strong effects of codon usage changes on protein expression levels and cellular physiology, no translational control mechanism is known that links codon usage to protein expression levels. Here, we demonstrate a novel translational control mechanism that responds to the speed of ribosome movement immediately after the start codon. High initiation rates are only possible if start codons are liberated sufficiently fast, thus accounting for the observation that fast codons are overrepresented in highly expressed proteins. In contrast, slow codons lead to slow liberation of the start codon by initiating ribosomes, thereby interfering with efficient translation initiation. Codon usage thus evolved as a means to optimise translation on individual mRNAs, as well as global optimisation of ribosome availability.

Defining the boundaries of species specificity for the Saccharomyces cerevisiae glycosylphosphatidylinositol transamidase using a quantitative in vivo assay

In eukaryotes, GPI (glycosylphosphatidylinositol) lipid anchoring of proteins is an abundant post-translational modification. The attachment of the GPI anchor is mediated by GPI-T (GPI transamidase), a multimeric, membrane-bound enzyme located in the ER (endoplasmic reticulum). Upon modification, GPI-anchored proteins enter the secretory pathway and ultimately become tethered to the cell surface by association with the plasma membrane and, in yeast, by covalent attachment to the outer glucan layer. This work demonstrates a novel in vivo assay for GPI-T. Saccharomyces cerevisiae INV (invertase), a soluble secreted protein, was converted into a substrate for GPI-T by appending the C-terminal 21 amino acid GPI-T signal sequence from the S. cerevisiae Yapsin 2 [Mkc7p (Y21)] on to the C-terminus of INV. Using a colorimetric assay and biochemical partitioning, extracellular presentation of GPI-anchored INV was shown. Two human GPI-T signal sequences were also tested and each showed diminished extracellular INV activity, consistent with lower levels of GPI anchoring and species specificity. Human/fungal chimaeric signal sequences identified a small region of five amino acids that was predominantly responsible for this species specificity.

Prokaryotic expression of antibodies

Maximizing the expression yields of recombinant whole antibodies and antibody fragments such as Fabs, single-chain Fvs and single-domain antibodies is highly desirable since it leads to lower production costs. Various eukaryotic and prokaryotic expression systems have been exploited to accommodate antibody expression but Escherichia coli systems have enjoyed popularity, in particular with respect to antibody fragments, because of their low cost and convenience. In many instances, product yields have been less than adequate and intrinsic and extrinsic variables have been investigated in an effort to improve yields. This review deals with various aspects of antibody expression in E. coli with a particular focus on single-domain antibodies.

The Synthetic Gene Designer: a flexible web platform to explore sequence manipulation for heterologous expression

"Codon optimization" is a general approach to improving heterologous expression where genes are moved from their native genomes into alternatives that exhibit different patterns of codon usage. However, despite reports of successful manipulations and the existence of stand-alone codon optimization software packages or commercial services that offer to redesign genes, the scientific community lacks any systematic understanding of what exactly it means to optimize codon usage. Thus we present a bona fide web application, the "Synthetic Gene Designer," which contrasts with existing software by providing a centralized, free, and transparent platform for the broader scientific community to develop knowledge about synthetic gene design. Consistent with this goal, our software is associated with a moderated e-forum that promotes discussion of synthetic gene design and offers technical support. In addition, the Synthetic Gene Designer presents enhanced functionality over existing software options: for example, it enables users to work with non-standard genetic codes, with user-defined patterns of codon usage and an expanded range of methods for codon optimization. The Synthetic Gene Designer, together with on-line tutorials and the forum, is available at .

Codon bias and heterologous protein expression

The expression of functional proteins in heterologous hosts is a cornerstone of modern biotechnology. Unfortunately, proteins are often difficult to express outside their original context. They might contain codons that are rarely used in the desired host, come from organisms that use non-canonical code or contain expression-limiting regulatory elements within their coding sequence. Improvements in the speed and cost of gene synthesis have facilitated the complete redesign of entire gene sequences to maximize the likelihood of high protein expression. Redesign strategies are discussed here, including modification of translation initiation regions, alteration of mRNA structural elements and use of different codon biases.

High-level expression of codon optimized foot-and-mouth disease virus complex epitopes and cholera toxin B subunit chimera in Hansenula polymorpha

A codon optimized DNA sequence coding for foot-and-mouth disease virus (FMDV) capsid protein complex epitopes of VP1 amino acid residues 21-40, 135-160, and 200-213 was genetically fused to the N-terminal end of a 6x His-tagged cholera toxin B subunit (CTB) gene with the similar synonymous codons preferred by the methylotropic yeast Hansenula polymorpha. The fusion gene was synthesized based on a polymerase chain reaction (PCR) and subsequently overexpressed in H. polymorpha. The chimeric protein was successfully secreted into the culture medium (up to 100mg/L) and retained the antigenicity associated with CTB and FMDV antibodies by Western blot analysis. The chimera after purification through Co(2+)-charged resin column bound specifically to GM1 ganglioside receptor and thus retained the biological activity of CTB. This study has important implications in the construction of CTB chimera for mucosal vaccines against FMDV.

Optimization of the expression of equistatin in Pichia pastoris

To improve the expression of equistatin, a proteinase inhibitor from the sea anemone Actinia equina, in the yeast Pichia pastoris, we prepared gene variants with yeast-preferred codon usage and lower repetitive AT and GC content. The full gene optimization approximately doubled the level of steady-state mRNA and protein accumulated in the culture medium. The removal of a short stretch of 12 additional nucleotides from the multiple cloning site (MCS) sequence in the vector pPIC9 had an enhancement effect similar to full gene optimization (factor 1.5) at the mRNA level. However, at the protein level, this increase was 4- to 10-fold. The optimized gene without the MCS sequence yielded 1.66 g/L active protein in a bioreactor and was purified by a new two-step procedure with a recovery of activity that was >95%. This production level constitutes an overall improvement of about 20-fold relative to our previously published results. The characteristics of the MCS sequence element are discussed in the light of its apparent ability to act as negative expression regulator.

Influence of codon usage and translational initiation codon context in the AcNPV-based expression system: computer analysis using homologous and heterologous genes

Codon usage by all the known gene sequences from Autographa californica nuclear polyhedrosis virus (AcNPV) was compared with that of firefly luciferase (luc) and the beta subunit of human chorionic gonadotropin (beta hCG) expressed to contrasting levels in the baculovirus system. The highly expressed luc gene showed a codon usage similar to AcNPV genes, as reflected by a very low D-squared statistic value (0.78) and a similar G/C usage (45%) at wobble positions. However, the underexpressed beta hCG gene displayed a high D-squared value (7.3) and G/C usage (82.5%) at the wobble base position. Alignment of the 20 nucleotides around the initiation codon of 23 AcNPV genes identified a novel consensus translation initiation sequence aag/ta/tat/aa/cAAaATGaa/ct/ag/aAan, which was quite different from the Kozak consensus sequence (GCC)GCCA/GCCATGG. An extension of these analyses to a sample of other heterologous genes overexpressed and underexpressed in BEVS suggested similar trends. These theoretical analyses have important implications for heterologous gene expression in this system.

Production and secretion of recombinant proteins in Dictyostelium discoideum

We have expressed useful amounts of three recombinant proteins in a new eukaryotic host/vector system. The cellular slime mold Dictyostelium discoideum efficiently secreted two recombinant products, a soluble form of the normally cell surface associated D. discoideum glycoprotein (PsA) and the heterologous protein glutathione-S-transferase (GST) from Schistosoma japonicum, while the enzyme beta-glucuronidase (GUS) from Escherichia coli was cell associated. Up to 20mg/l of recombinant PsA and 1mg/l of GST were obtained after purification from a standard, peptone based growth medium. The secretion signal peptide was correctly cleaved from the recombinant GST- and PsA-proteins and the expression of recombinant PsA was shown to be stable for at least one hundred generations in the absence of selection.

The Arabidopsis endoplasmic reticulum retention receptor functions in yeast

Soluble proteins retained in the lumen of the endoplasmic reticulum (ER) contain a carboxyl-terminal tetrapeptide sequence that functions presumably to recycle these proteins from a subsequent compartment. Biochemical and genetic evidence indicate that the ERD2 gene product is the receptor for these ER retention signals. Here we report the identification of a cDNA clone from Arabidopsis thaliana (aERD2) similar in sequence and size to members of the ERD2 gene family. Southern and Northern blot analyses indicate that Arabidopsis contains a single aERD2 gene which is expressed at different levels in various plant tissues. A functional assay demonstrates that the Arabidopsis homologue, unlike the mammalian protein, can complement the lethal phenotype of the erd2 deletion mutant of Saccharomyces cerevisiae, indicating that this protein may have a similar function in plants. As the plant protein may have a binding specificity similar to the human Erd2 protein but can function in yeast, we suggest that the plant homologue is the functional link between yeast and animals.

Synonymous codon usage in Zea mays L. nuclear genes is varied by levels of C and G-ending codons

A multivariate statistical method called correspondence analysis was used to examine the codon usage of one-hundred-and-one nuclear genes of maize (Zea mays L.). Forty percent of the variation in codon usage was due to bias toward G or C-ending versus A or U-ending codons. Differences in levels of G-ending codons showed the weakest correlation with the major codon usage bias. The bias toward C or U versus A or G in the silent third nucleotide position of synonymous codons accounted for approximately 10% of the variation in codon usage. The G+C content of the silent third nucleotide position of coding regions was not strongly correlated with G+C content of introns. Codon usage was strongly biased toward codons ending in G or C for a number of highly expressed genes including most light-regulated chloroplast proteins, ABA-induced proteins, histones, and anthocyanin biosynthetic enzymes. Codon usage of genes encoding storage proteins and regulatory proteins, such as transposases, kinases, phosphatases and transcription factors, was more random than that of genes encoding cytosolic enzymes with similar bias toward G or C-ending codons. Codon usage in maize may reflect both regional bias on nucleotide composition and selection on the silent third nucleotide position.

Engineering yeast for high level expression

As a eukaryotic microbe, yeast remains an attractive host for the expression of a large variety of foreign proteins, including viral antigens, enzymes used as food additives and therapeutic agents. Important progress has been made in the understanding of the critical parameters influencing product yield, and a number of novel tools for the genetic engineering of powerful yeast expression systems have been developed. This review focuses on recent findings in foreign gene expression in the yeasts Saccharomyces, Pichia, Hansenula, and Kluyveromyces.