Synonymous codon preferences in bacteriophage T4: a distinctive use of transfer RNAs from T4 and from its host Escherichia coli.

Codon usage data of bacteriophage T4 genes were compiled and synonymous codon preferences were investigated in comparison with tRNA availabilities in an infected cell. Since the genome of T4 is highly AT rich and its codon usage pattern is significantly different from that of its host Escherichia coli, certain codons of T4 genes need to be translated by appropriate host transfer RNAs present in minor amounts. To avoid this predicament, T4 phage seems to direct the synthesis of its own tRNA molecules and these phage tRNAs are suggested to supplement the host tRNA population with isoacceptors that are normally present in minor amounts. A positive correlation was found in that the frequency of E. coli optimal codons in T4 genes increases as the number of protein monomers per phage particle increases. A negative correlation was also found between the number of protein monomers per phage and the frequency of "T4 optimal codons", which are defined as those codons that are efficiently recognized by T4 tRNAs. From these observations it was proposed that tRNAs from the host are predominantly used for translation of highly expressed T4 genes while tRNAs from T4 tend to be used for translation of weakly expressed T4 genes. This distinctive tRNA-usage in T4 may be an optimization of translational efficiency, and an adjustment of T4-encoded tRNAs to the synonymous codon preferences, which are largely influenced by the high genomic AT-content, would have occurred during evolution.     

Queuosine‐modified tRNAs confer nutritional control of protein translation

Global protein translation as well as translation at the codon level can be regulated by tRNA modifications. In eukaryotes, levels of tRNA queuosinylation reflect the bioavailability of the precursor queuine, which is salvaged from the diet and gut microbiota. We show here that nutritionally determined Q‐tRNA levels promote Dnmt2‐mediated methylation of tRNA Asp and control translational speed of Q‐decoded codons as well as at near‐cognate codons. Deregulation of translation upon queuine depletion results in unfolded proteins that trigger endoplasmic reticulum stress and activation of the unfolded protein response, both in cultured human cell lines and in germ‐free mice fed with a queuosine‐deficient diet. Taken together, our findings comprehensively resolve the role of this anticodon tRNA modification in the context of native protein translation and describe a novel mechanism that links nutritionally determined modification levels to effective polypeptide synthesis and cellular homeostasis.     

Synonymous codon usage analysis of the mycobacteriophage Bxz1 and its plating bacteria M. smegmatis: identification of highly and lowly expressed genes of Bxz1 and the possible function of its tRNA species

The extent of codon usage in the protein coding genes of the mycobacteriophage, Bxz1, and its plating bacteria, M. smegmatis, were determined, and it was observed that the codons ending with either G and / or C were predominant in both the organisms. Multivariate statistical analysis showed that in both organisms, the genes were separated along the first major explanatory axis according to their expression levels and their genomic GC content at the synonymous third positions of the codons. The second major explanatory axis differentiates the genes according to their genome type. A comparison of the relative synonymous codon usage between 20 highly- and 20 lowly expressed genes from Bxz1 identified 21 codons, which are statistically over represented in the former group of genes. Further analysis found that the Bxz1- specific tRNA species could recognize 13 out of the 21 over represented synonymous codons, which incorporated 13 amino acid residues preferentially into the highly expressed proteins of Bxz1. In contrast, seven amino acid residues were preferentially incorporated into the lowly expressed proteins by 10 other tRNA species of Bxz1. This analysis predicts for the first time that the Bxz1-specific tRNA species modulates the optimal expression of its proteins during development.     

Comparison of codon usage and tRNAs in mitochondrial genomes of Candida species

To gain insight into the nature of the mitochondrial genomes (mtDNA) of different Candida species, the synonymous codon usage bias of mitochondrial protein coding genes and the tRNAs in C. albicans, C. parapsilosis, C. stellata, C. glabrata and the closely related yeast Saccharomyces cerevisiae were analyzed. Common features of the mtDNA in Candida species are a strong A+T pressure on protein coding genes, and insufficient mitochondrial tRNA species are encoded to perform protein synthesis. The wobble site of the anticodon is always U for the NNR (NNA and NNG) codon families, which are dominated by A-ending codons, and always G for the NNY (NNC and NNU) codon families, which is dominated by U-ending codons, and always U for the NNN (NNA, NNU, NNC and NNG) codon families, which are dominated by A-ending codons and U-ending codons. Patterns of synonymous codon usage of Candida species can be classified into three groups: (1) optimal codon-anticodon usage, Glu, Lys, Leu (translated by anti-codon UAA), Gln, Arg (translated by anti-codon UCU) and Trp are containing NNR codons. NNA, whose corresponding tRNA is encoded in the mtDNA, is used preferentially. (2) Non-optimal codon-anticodon usage, Cys, Asp, Phe, His, Asn, Ser (translated by anti-codon GCU) and Tyr are containing NNY codons. The NNU codon, whose corresponding tRNA is not encoded in the mtDNA, is used preferentially. (3) Combined codon-anticodon usage, Ala, Gly, Leu (translated by anti-codon UAG), Pro, Ser (translated by anti-codon UGA), Thr and Val are containing NNN codons. NNA (tRNA encoded in the mtDNA) and NNU (tRNA not encoded in the mtDNA) are used preferentially. In conclusion, we propose that in Candida species, codons containing A or U at third position are used preferentially, regardless of whether corresponding tRNAs are encoded in the mtDNA. These results might be useful in understanding the common features of the mtDNA in Candida species and patterns of synonymous codon usage.     

Variable strength of translational selection among 12 Drosophila species

Codon usage bias in Drosophila melanogaster genes has been attributed to negative selection of those codons whose cellular tRNA abundance restricts rates of mRNA translation. Previous studies, which involved limited numbers of genes, can now be compared against analyses of the entire gene complements of 12 Drosophila species whose genome sequences have become available. Using large numbers (6138) of orthologs represented in all 12 species, we establish that the codon preferences of more closely related species are better correlated. Differences between codon usage biases are attributed, in part, to changes in mutational biases. These biases are apparent from the strong correlation (r = 0.92, P < 0.001) among these genomes' intronic G + C contents and exonic G + C contents at degenerate third codon positions. To perform a cross-species comparison of selection on codon usage, while accounting for changes in mutational biases, we calibrated each genome in turn using the codon usage bias indices of highly expressed ribosomal protein genes. The strength of translational selection was predicted to have varied between species largely according to their phylogeny, with the D. melanogaster group species exhibiting the strongest degree of selection.     

Gene optimization mechanisms: A multi-gene study reveals a high success rate of full-length human proteins expressed in Escherichia coli

The genetic code is universal, but recombinant protein expression in heterologous systems is often hampered by divergent codon usage. Here, we demonstrate that reprogramming by standardized multi‐parameter gene optimization software and de novo gene synthesis is a suitable general strategy to improve heterologous protein expression. This study compares expression levels of 94 full‐length human wt and sequence‐optimized genes coding for pharmaceutically important proteins such as kinases and membrane proteins in E. coli. Fluorescence‐based quantification revealed increased protein yields for 70% of in vivo expressed optimized genes compared to the wt DNA sequences and also resulted in increased amounts of protein that can be purified. The improvement in transgene expression correlated with higher mRNA levels in our analyzed examples. In all cases tested, expression levels using wt genes in tRNA‐supplemented bacterial strains were outperformed by optimized genes expressed in non‐supplemented host cells.     

Comparison of base composition and codon usage in insect mitochondrial genomes

Insects, the most biodiverse taxonomic group, have high AT content in their mitochondrial genomes. Although codon usage tends to be AT-rich, base composition and codon usage of mitochondrial genomes may vary among taxa. Thus, we compare base composition and codon usage patterns of 49 insect mitochondrial genomes. For protein coding genes, AT content is as high as 80% in the Hymenoptera and Lepidoptera and as low as 72% in the Orthopotera. The AT content is high at positions 1 and 3, but A content is low at position 2. A close correlation occurs between codon usage and tRNA abundance in nuclear genomes. Optimal codons can pair well with the antr codons of the most abundant tRNAs. One tRNA gene translates a synonymous codon family in vertebrate mitochondrial genomes and these tRNA anticodons can pair with optimal codons. However, optimal codons cannot pair with anticodons in mtDNA ofCochiiomyia hominivorax (Dipteral: CaLliphoridae). Ten optimal codons cannot pair with tRNA anticodons in all 49 insect mitochondrial genomes; non-optimal codon-anticodon usage is common and codon usage is not influenced by tRNA abundance.     

Mutation bias is the driving force of codon usage in the Gallus gallus genome

Synonymous codons are used with different frequencies both among species and among genes within the same genome and are controlled by neutral processes (such as mutation and drift) as well as by selection. Up to now, a systematic examination of the codon usage for the chicken genome has not been performed. Here, we carried out a whole genome analysis of the chicken genome by the use of the relative synonymous codon usage (RSCU) method and identified 11 putative optimal codons, all of them ending with uracil (U), which is significantly departing from the pattern observed in other eukaryotes. Optimal codons in the chicken genome are most likely the ones corresponding to highly expressed transfer RNA (tRNAs) or tRNA gene copy numbers in the cell. Codon bias, measured as the frequency of optimal codons (Fop), is negatively correlated with the G + C content, recombination rate, but positively correlated with gene expression, protein length, gene length and intron length. The positive correlation between codon bias and protein, gene and intron length is quite different from other multi-cellular organism, as this trend has been only found in unicellular organisms. Our data displayed that regional G + C content explains a large proportion of the variance of codon bias in chicken. Stepwise selection model analyses indicate that G + C content of coding sequence is the most important factor for codon bias. It appears that variation in the G + C content of CDSs accounts for over 60% of the variation of codon bias. This study suggests that both mutation bias and selection contribute to codon bias. However, mutation bias is the driving force of the codon usage in the Gallus gallus genome. Our data also provide evidence that the negative correlation between codon bias and recombination rates in G. gallus is determined mostly by recombination-dependent mutational patterns.     

Codon bias as a factor in regulating expression via translation rate in the human genome

We study the interrelations between tRNA gene copy numbers, gene expression levels and measures of codon bias in the human genome. First, we show that isoaccepting tRNA gene copy numbers correlate positively with expression-weighted frequencies of amino acids and codons. Using expression data of more than 14,000 human genes, we show a weak positive correlation between gene expression level and frequency of optimal codons (codons with highest tRNA gene copy number). Interestingly, contrary to non-mammalian eukaryotes, codon bias tends to be high in both highly expressed genes and lowly expressed genes. We suggest that selection may act on codon bias, not only to increase elongation rate by favoring optimal codons in highly expressed genes, but also to reduce elongation rate by favoring non-optimal codons in lowly expressed genes. We also show that the frequency of optimal codons is in positive correlation with estimates of protein biosynthetic cost, and suggest another possible action of selection on codon bias: preference of optimal codons as production cost rises, to reduce the rate of amino acid misincorporation. In the analyses of this work, we introduce a new measure of frequency of optimal codons (FOP'), which is unaffected by amino acid composition and is corrected for background nucleotide content; we also introduce a new method for computing expected codon frequencies, based on the dinucleotide composition of the introns and the non-coding regions surrounding a gene.     

Analysis of mitochondrial protein‐coding genes of Antheraea assamensis: Muga silkworm of Assam

To understand the synonymous codon usage pattern in mitochondrial genome of Antheraea assamensis, we analyzed the 13 mitochondrial protein‐coding genes of this species using a bioinformatic approach as no work was reported yet. The nucleotide composition analysis suggested that the percentages of A, T, G,and C were 33.73, 46.39, 9.7 and 10.17, respectively and the overall GC content was 19.86, that is, lower than 50% and the genes were AT rich. The mean effective number of codons of mitochondrial protein‐coding genes was 36.30 and it indicated low codon usage bias (CUB). Relative synonymous codon usage analysis suggested overrepresented and underrepresented codons in each gene and the pattern of codon usage was different among genes. Neutrality plot analysis revealed a narrow range of distribution for GC content at the third codon position and some points were diagonally distributed, suggesting both mutation pressure and natural selection influenced the CUB.     

Synonymous codon usage variation among Giardia lamblia genes and isolates.

The pattern of codon usage in the amitochondriate diplomonad Giardia lamblia has been investigated. Very extensive heterogeneity was evident among a sample of 65 genes. A discrete group of genes featured unusual codon usage due to the amino acid composition of their products: these variant surface proteins (VSPs) are unusually rich in Cys and, to a lesser extent, Gly and Thr. Among the remaining 50 genes, correspondence analysis revealed a single major source of variation in synonymous codon usage. This trend was related to the extent of use of a particular subset of 21 codons which are inferred to be those which are optimal for translation; at one end of this trend were genes expected to be expressed at low levels with near random codon usage, while at the other extreme were genes expressed at high levels in which these optimal codons are used almost exclusively. These optimal codons all end in C or G so G + C content at silent sites varies enormously among genes, from values around 40%, expected to reflect the background level of the genome, up to nearly 100%. Although VSP genes are occasionally extremely highly expressed, they do not, in general, have high frequencies of optimal codons, presumably because their high expression is only intermittent. These results indicate that natural selection has been very effective in shaping codon usage in G. lamblia. These analyses focused on sequences from strains placed within G. lamblia "assemblage A"; a few sequences from other strains revealed extensive divergence at silent sites, including some divergence in the pattern of codon usage.     

The impact of miR‐34a on protein output in hepatocellular carcinoma HepG2 cells

MicroRNAs are small non‐coding RNA molecules that play essential roles in biological processes ranging from cell cycle to cell migration and invasion. Accumulating evidence suggests that miR‐34a, as a key mediator of p53 tumor suppression, is aberrantly expressed in human cancers. In the present study, we aimed to explore the precise biological role of miR‐34a and the global protein changes in HCC cell line HepG2 cells transiently transfected with miR‐34a. Transfection of miR‐34a into HepG2 cells caused suppression of cell proliferation, inhibition of cell migration and invasion. It also induced an accumulation of HepG2 cells in G1 phase. Among 116 protein spots with differential expression separated by 2‐DE method, 34 proteins were successfully identified by MALDI‐TOF/TOF analysis. Of these, 15 downregulated proteins may be downstream targets of miR‐34a. Bioinformatics analysis produced a protein–protein interaction network, which revealed that the p53 signaling pathway and cell cycle pathway were two major hubs containing most of the proteins regulated by miR‐34a. Cytoskeletal proteins such as LMNA, GFAP, MACF1, ALDH2, and LOC100129335 are potential targets of miR‐34a. In conclusion, abrogation of miR‐34a function could cause downstream molecules to switch on or off, leading to HCC development.     

Efficient tRNA degradation and quantification in Escherichia coli cell extract using RNase‐coated magnetic beads: A key step toward codon emancipation

Emancipating sense codons toward a minimized genetic code is of significant interest to science and engineering. A key approach toward sense codon emancipation is the targeted in vitro removal of native tRNA. However, challenges remain such as the insufficient depletion of tRNA in lysate‐based in vitro systems and the high cost of the purified components system (PURE). Here we used RNase‐coated superparamagnetic beads to efficiently degrade E. coli endogenous tRNA. The presented method removes >99% of tRNA in cell lysates, while partially preserving cell‐free protein synthesis activity. The resulting tRNA‐depleted lysate is compatible with in vitro‐transcribed synthetic tRNA for the production of peptides and proteins. Additionally, we directly measured residual tRNA using quantitative real‐time PCR. © 2017 American Institute of Chemical Engineers Biotechnol. Prog., 33:1401–1407, 2017     

Correlation between the abundance of Escherichia coli transfer RNAs and the occurrence of the respective codons in its protein genes: a proposal for a synonymous codon choice that is optimal for the E. coli translational system

The relative quantities of 26 known transfer RNAs of Escherichia coli have been measured previously (Ikemura, 1981). Based on this relative abundance, the usage of cognate codons in E. coli genes as well as in transposon and coliphage genes was examined. A strong positive correlation between tRNA content and the occurrence of respective codons was found for most E. coli genes that had been sequenced, although the correlation was less significant for transposon and phage genes. The dependence of the usage of isoaccepting tRNA, in E. coli genes encoding abundant proteins, on tRNA content was especially noticeable and was greater than that expected from the proportional relationship between the two variables, i.e. these genes selectively use codons corresponding to major tRNAs but almost completely avoid using codons of minor tRNAs. Therefore, codon choice in E. coli genes was considered to be largely constrained by tRNA availability and possibly by translational efficiency. Based on the content of isoaccepting tRNA and the nature of codon-anticodon interaction, it was then possible to predict for most amino acids the order of preference among synonymous codons. The synonymous codon predicted in this way to be the most preferred codon was thought to be optimized for the E. coli translational system and designated as the “Optimal codon”. E. coli genes encoding abundant protein species use the optimal codons selectively, and other E. coli genes, such as amino acid synthesizing genes, use optimal and “non-optimal” codons to a roughly equal degree. The finding that the frequency of usage of optimal codons is closely correlated with the production levels of individual genes was discussed from an evolutionary viewpoint.     

Increased tRNA modification and gene-specific codon usage regulate cell cycle progression during the DNA damage response

S-phase and DNA damage promote increased ribonucleotide reductase (RNR) activity. Translation of RNR1 has been linked to the wobble uridine modifying enzyme tRNA methyltransferase 9 (Trm9). We predicted that changes in tRNA modification would translationally regulate RNR1 after DNA damage to promote cell cycle progression. In support, we demonstrate that the Trm9-dependent tRNA modification 5-methoxycarbonylmethyluridine (mcm?U) is increased in hydroxyurea (HU)-induced S-phase cells, relative to G? and G?, and that mcm?U is one of 16 tRNA modifications whose levels oscillate during the cell cycle. Codon-reporter data matches the mcm?U increase to Trm9 and the efficient translation of AGA codons and RNR1. Further, we show that in trm9Δ cells reduced Rnr1 protein levels cause delayed transition into S-phase after damage. Codon re-engineering of RNR1 increased the number of trm9Δ cells that have transitioned into S-phase 1 h after DNA damage and that have increased Rnr1 protein levels, similar to that of wild-type cells expressing native RNR1. Our data supports a model in which codon usage and tRNA modification are regulatory components of the DNA damage response, with both playing vital roles in cell cycle progression.     

Nature of selective constraints on synonymous codon usage of rice differs in GC-poor and GC-rich genes

Synonymous codon usage and cellular tRNA abundance are thought to be co-evolved in optimizing translational efficiencies in highly expressed genes. Here in this communication by taking the advantage of publicly available gene expression data of rice and Arabidopsis we demonstrated that tRNA gene copy number is not the only driving force favoring translational selection in all highly expressed genes of rice. We found that forces favoring translational selection differ between GC-rich and GC-poor classes of genes. Supporting our results we also showed that, in highly expressed genes of GC-poor class there is a perfect correspondence between majority of preferred codons and tRNA gene copy number that confers translational efficiencies to this group of genes. However, tRNA gene copy number is not fully consistent with models of translational selection in GC-rich group of genes, where constraints on mRNA secondary structure play a role to optimize codon usage in highly expressed genes.     

Optimization protein productivity of human interleukin-2 through codon usage,gene copy number and intracellular tRNA concentration in CHO cells

Transfer RNA (tRNA) abundance is one of the critical factors for the enhancement of protein productivity in prokaryotic and eukaryotic hosts. Gene copy number of tRNA and tRNA codon usage bias are generally used to match tRNA abundance of protein-expressing hosts and to optimize the codons of recombinant proteins. Because sufficient concentration of intracellular tRNA and optimized codons of recombinant proteins enhanced translation efficiency, we hypothesized that sufficient supplement of host’s tRNA improved protein productivity in mammalian cells. First, the small tRNA sequencing results of CHO-K1 cells showed moderate positive correlation with gene copy number and codon usage bias. Modification of human interleukin-2 (IL-2) through codons with high gene copy number and high codon usage bias (IL-2 HH, modified on Leu, Thr, Glu) significantly increased protein productivity in CHO-K1 cells. In contrast, modification through codons with relatively high gene copy number and low codon usage bias (IL-2 HL, modified on Ala, Thr, Val), or relatively low gene copy number and low codon usage bias (IL-2 LH, modified on Ala, Thr, Val) did not increase IL-2 productivity significantly. Furthermore, supplement of the alanine tRNA or threonine tRNA increased IL-2 productivity of IL-2 HL. In summary, we revealed a potential strategy to enhance productivity of recombinant proteins, which may be applied in production of protein drug or design of DNA vaccine.     

Missing something? Codon aversion as a new character system in phylogenetics

Although many studies have documented codon usage bias in different species, the importance of codon usage in a phylogenetic framework remains largely unknown. We demonstrate that a phylogenetic signal is present in the codon usage and non‐usage biases of 17 717 orthologues evaluated across 72 tetrapod species using a simple parsimony analysis of a binary matrix of codon characters. Phylogenies estimated using stop codons were more congruent with previous hypotheses than phylogenies based on any other single codon or a combination of codons. Although each codon is present in every species, specific genes have different codon preferences and may or may not use every possible codon. This observation allowed us to map the pattern of codon usage and non‐usage across the topology. These results suggest that codon usage is phylogenetically conserved across shallow and deep levels within tetrapods.     

Codon optimizer: a freeware tool for codon optimization

Selection plays a major role in the determination of codon usage in all organisms studied so far. In highly expressed genes, a narrow set of codons is used and these codons correspond to the more abundant tRNA species. This minimizes the risk of tRNA depletion during translation. In fact, the codons in a gene may be true bottlenecks, especially in cases where foreign genes are expressed in a host in which the usage of codons in highly expressed genes does not resemble the usage of codons in the species from which the foreign gene originates. In such cases, it has been shown that substitution of rare codons in the introduced gene may increase the yield dramatically. In addition, replacement of rare codons might decrease the chance of misincorporation and protect the protein from premature turnover. Here, a piece of software is announced that calculates a codon-optimized sequence of any gene based on knowledge of highly expressed genes of a host. In addition, it calculates the codon adaptation index of the gene and identifies internal type II restriction sites of the optimized sequence. The program runs under Windows and is available as freeware for use in academia.