tRNA Abundance Research Articles

The SmpB-tmRNA Tagging System Plays Important Roles in Streptomyces coelicolor Growth and Development

The ssrA gene encodes tmRNA that, together with a specialized tmRNA-binding protein, SmpB, forms part of a ribonucleoprotein complex, provides a template for the resumption of translation elongation, subsequent termination and recycling of stalled ribosomes. In addition, the mRNA-like domain of tmRNA encodes a peptide that tags polypeptides derived from stalled ribosomes for degradation. Streptomyces are unique bacteria that undergo a developmental cycle culminating at sporulation that is at least partly controlled at the level of translation elongation by the abundance of a rare tRNA that decodes UUA codons found in a relatively small number of open reading frames prompting us to examine the role of tmRNA in S. coelicolor. Using a temperature sensitive replicon, we found that the ssrA gene could be disrupted only in cells with an extra-copy wild type gene but not in wild type cells or cells with an extra-copy mutant tmRNA (tmRNADD) encoding a degradation-resistant tag. A cosmid-based gene replacement method that does not include a high temperature step enabled us to disrupt both the ssrA and smpB genes separately and at the same time suggesting that the tmRNA tagging system may be required for cell survival under high temperature. Indeed, mutant cells show growth and sporulation defects at high temperature and under optimal culture conditions. Interestingly, even though these defects can be completely restored by wild type genes, the ΔssrA strain was only partially corrected by tmRNADD. In addition, wildtype tmRNA can restore the hygromycin-resistance to ΔssrA cells while tmRNADD failed to do so suggesting that degradation of aberrant peptides is important for antibiotic resistance. Overall, these results suggest that the tmRNA tagging system plays important roles during Streptomyces growth and sporulation under both normal and stress conditions.

Transient ribosomal attenuation coordinates protein synthesis and co-translational folding

Clustered codons that pair to low-abundance tRNA isoacceptors can form slow-translating regions in the mRNA and cause transient ribosomal arrest. We report that folding efficiency of the Escherichia coli multidomain protein SufI can be severely perturbed by alterations in ribosome-mediated translational attenuation. Such alterations were achieved by global acceleration of the translation rate with tRNA excess in vitro or by synonymous substitutions to codons with highly abundant tRNAs both in vitro and in vivo. Conversely, the global slow-down of the translation rate modulated by low temperature suppresses the deleterious effect of the altered translational attenuation pattern. We propose that local discontinuous translation temporally separates the translation of segments of the peptide chain and actively coordinates their co-translational folding.

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.

Slow peptide bond formation by proline and other N -alkylamino acids in translation

Proteins are made from 19 aa and, curiously, one N-alkylamino acid ("imino acid"), proline (Pro). Pro is thought to be incorporated by the translation apparatus at the same rate as the 19 aa, even though the alkyl group in Pro resides directly on the nitrogen nucleophile involved in peptide bond formation. Here, by combining quench-flow kinetics and charging of tRNAs with cognate and noncognate amino acids, we find that Pro incorporates in translation significantly more slowly than Phe or Ala and that other N-alkylamino acids incorporate much more slowly. Our results show that the slowest step in incorporation of N-alkylamino acids is accommodation/peptidyl transfer after GTP hydrolysis on EF-Tu. The relative incorporation rates correlate with expectations from organic chemistry, suggesting that amino acid sterics and basicities affect translation rates at the peptidyl transfer step. Cognate isoacceptor tRNAs speed Pro incorporation to rates compatible with in vivo, although still 3-6 times slower than Phe incorporation from Phe-tRNA(Phe) depending on the Pro codon. Results suggest that Pro is the only N-alkylamino acid in the genetic code because it has a privileged cyclic structure that is more reactive than other N-alkylamino acids. Our data on the variation of the rate of incorporation of Pro from native Pro-tRNA(Pro) isoacceptors at 4 different Pro codons help explain codon bias not accounted for by the "tRNA abundance" hypothesis.

Inferring Selection on Amino Acid Preference in Protein Domains

Models that explicitly account for the effect of selection on new mutations have been proposed to account for “codon bias” or the excess of “preferred” codons that results from selection for translational efficiency and/or accuracy. In principle, such models can be applied to any mutation that results in a preferred allele, but in most cases, the fitness effect of a specific mutation cannot be predicted. Here we show that it is possible to assign preferred and unpreferred states to amino acid changing mutations that occur in protein domains. We propose that mutations that lead to more common amino acids (at a given position in a domain) can be considered “preferred alleles” just as are synonymous mutations leading to codons for more abundant tRNAs. We use genome-scale polymorphism data to show that alleles for preferred amino acids in protein domains occur at higher frequencies in the population, as has been shown for preferred codons. We show that this effect is quantitative, such that there is a correlation between the shift in frequency of preferred alleles and the predicted fitness effect. As expected, we also observe a reduction in the numbers of polymorphisms and substitutions at more important positions in domains, consistent with stronger selection at those positions. We examine the derived allele frequency distribution and polymorphism to divergence ratios of preferred and unpreferred differences and find evidence for both negative and positive selections acting to maintain protein domains in the human population. Finally, we analyze a model for selection on amino acid preferences in protein domains and find that it is consistent with the quantitative effects that we observe.

Evidence of bias towards buffered codons in human transcripts.

Codon usage bias is well established in different species from bacteria to mammals. A number of models have been proposed to show this bias as a balance between mutation and selection. Most of these models emphasize controlling the speed of protein translation from the mRNA and increasing the accuracy where this bias is dependent on the abundance and properties of the available tRNA. In this work, codon usage bias in general is considered from a different angle based on a new hypothesis where selection is expected to act in a direction to favor codons that are more buffered, or protected, from mutation than those more sensitive to mutation. It is anticipated that the more buffered the original coding sequence, the higher the survival chance for the whole organism since the resulting protein sequence remains unchanged. Two different complementary measures are developed to compute the average buffering capacity in a given sequence. We show that the buffering capacity of coding sequences in humans is in general higher than that of randomly generated sequences and that of shifted reading frames. Highly expressed genes are shown to have an even higher buffering capacity than non-housekeeping genes. This result is to be expected due to the necessity of housekeeping genes.

Prion and anti-codon usage: Does infectious PrP alter tRNA abundance to induce misfolding of PrP?

The "protein-only" hypothesis of prion diseases views the infectious agent as devoid of nucleic acids and consisting of misfolded prion proteins (PrP(Sc)) which, upon infiltration into host cells, act as a template that induces transformation of wild-type protein (PrP(C)) to the pathological form by unknown mechanisms. The two isoforms are identical in amino-acid composition. By analogy to reported "silent" mutations in which utilization of relatively rare tRNAs alter protein folding pattern, we postulate that misfolded PrP(Sc) alters tRNAs abundance in prion-infected cells and results in different rates of co-translational folding of PrP, leading to the formation of additional misfolded PrP(Sc). We analyze experiments that might link tRNAs to prions. This concept of "PrP-seed and tRNA-soil" envisages a vicious cycle in which PrP(Sc) levels govern specific tRNA usage, whose alteration subsequently transforms resident PrP(C) to PrP(Sc), causing the cycle to repeat itself ad infinitum.

Buffered codons in human transcriptional units

Background Codon usage is well established for a number of different species. Multiple models have been proposed to show codon bias as a balance between mutation and selection. Most of these models emphasize controlling the speed of protein translation from the mRNA and increasing the accuracy where this bias is dependent on the abundance of the available tRNA. We show codon usage bias from a different angle based on a new hypothesis where selection is expected to act in a direction to favor codons that are more buffered, or protected, from mutation than those sensitive to mutation. It is anticipated that the more buffered the original coding sequence, the higher the survival chance for the whole organism since the resulting protein sequence remains unchanged. Two different complementary measures are developed to compute the average buffering capacity in a given sequence. We show that the buffering capacity of coding sequences is in general higher than that of randomly generated sequences and that of shifted reading frames. Highly expressed genes are shown to have an even higher buffering capacity than non-housekeeping genes.

Delving Deeper into the Unexpected Correlation Between Gene Expressivity and Codon Usage Bias of Escherichia coli Genome

Biased usage of synonymous codons has been elucidated under the perspective of cellular tRNA abundance and more recently by the mRNA secondary structure folding stability of the corresponding genes. Taking advantage of publicly available gene expression data for Escherichia coli, a comprehensive investigation of the three classes of genes having different codon usage biases was performed from the standpoint of tRNA abundance, mRNA secondary structure folding stability, and translational error minimization procedure. We detected the different evolutionary forces for translational and/or transcriptional regulation of highly expressed genes depending upon their codon bias. Additionally, the possible role of mRNA folding stability in maintaining the overall high expressivity of the set of lowly biased genes has been articulated. These novel findings certainly strengthen the understanding of the codon usage bias in the Escherichia coli genome.

Evidence for a Trade-Off between Translational Efficiency and Splicing Regulation in Determining Synonymous Codon Usage in Drosophila melanogaster

In Drosophila melanogaster, synonymous codons corresponding to the most abundant cognate tRNAs are used more frequently, especially in highly expressed genes. Increased use of such "optimal" codons is considered an adaptation for translational efficiency. Need it always be the case that selection should favor the use of a translationally optimal codon? Here, we investigate one possible confounding factor, namely, the need to specify information in exons necessary to enable correct splicing. As expected from such a model, in Drosophila many codons show different usage near intron-exon boundaries versus exon core regions. However, this finding is in principle also consistent with Hill-Robertson effects modulating usage of translationally optimal codons. However, several results support the splice model over the translational selection model: 1) the trends in codon usage are strikingly similar to those in mammals in which codon usage near boundaries correlates with abundance in exonic splice enhancers (ESEs), 2) codons preferred near boundaries tend to be enriched for A and avoid C (conversely those avoided near boundaries prefer C rather than A), as expected were ESEs involved, and 3) codons preferred near boundaries are typically not translationally optimal. We conclude that usage of translationally optimal codons usage is compromised in the vicinity of splice junctions in intron-containing genes, to the effect that we observe higher levels of usage of translationally optimal codons at the center of exons. On the gene level, however, controlling for known correlates of codon bias, the impact on codon usage patterns is quantitatively small. These results have implications for inferring aspects of the mechanism of splicing given nothing more than a well-annotated genome.

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.

CodonO: codon usage bias analysis within and across genomes

Synonymous codon usage biases are associated with various biological factors, such as gene expression level, gene length, gene translation initiation signal, protein amino acid composition, protein structure, tRNA abundance, mutation frequency and patterns, and GC compositions. Quantification of codon usage bias helps understand evolution of living organisms. A codon usage bias pipeline is demanding for codon usage bias analyses within and across genomes. Here we present a CodonO webserver service as a user-friendly tool for codon usage bias analyses across and within genomes in real time. The webserver is available at http//www.sysbiology.org/CodonO. Contact: wanhenry@yahoo.com.

Reinvestigating the codon and amino acid usage of S. cerevisiae genome: A new insight from protein secondary structure analysis

Biased usage of synonymous codons has been elucidated under the perspective of cellular tRNA abundance for quite a long time now. Taking advantage of publicly available gene expression data for Saccharomyces cerevisiae, a systematic analysis of the codon and amino acid usages in two different coding regions corresponding to the regular (helix and strand) as well as the irregular (coil) protein secondary structures, have been performed. Our analyses suggest that apart from tRNA abundance, mRNA folding stability is another major evolutionary force in shaping the codon and amino acid usage differences between the highly and lowly expressed genes in S. cerevisiae genome and surprisingly it depends on the coding regions corresponding to the secondary structures of the encoded proteins. This is obviously a new paradigm in understanding the codon usage in S. cerevisiae. Differential amino acid usage between highly and lowly expressed genes in the regions coding for the irregular protein secondary structure in S. cerevisiae is expounded by the stability of the mRNA folded structure. Irrespective of the protein secondary structural type, the highly expressed genes always tend to encode cheaper amino acids in order to reduce the overall biosynthetic cost of production of the corresponding protein. This study supports the hypothesis that the tRNA abundance is a consequence of and not a reason for the biased usage of amino acid between highly and lowly expressed genes.

A method for the construction of equalized directional cDNA libraries from hydrolyzed total RNA

BackgroundThe transcribed sequences of a cell, the transcriptome, represent the trans-acting fraction of the genetic information, yet eukaryotic cDNA libraries are typically made from only the poly-adenylated fraction. The non-coding or translated but non-polyadenylated RNAs are therefore not represented. The goal of this study was to develop a method that would more completely represent the transcriptome in a useful format, avoiding over-representation of some of the abundant, but low-complexity non-translated transcripts.ResultsWe developed a combination of self-subtraction and directional cloning procedures for this purpose. Libraries were prepared from partially degraded (hydrolyzed) total RNA from three different species. A restriction endonuclease site was added to the 3' end during first-strand synthesis using a directional random-priming technique. The abundant non-polyadenylated rRNA and tRNA sequences were largely removed by using self-subtraction to equalize the representation of the various RNA species. Sequencing random clones from the libraries showed that 87% of clones were in the forward orientation with respect to known or predicted transcripts. 70% matched identified or predicted translated RNAs in the sequence databases. Abundant mRNAs were less frequent in the self-subtracted libraries compared to a non-subtracted mRNA library. 3% of the sequences were from known or hypothesized ncRNA loci, including five matches to miRNA loci.ConclusionWe describe a simple method for making high-quality, directional, random-primed, cDNA libraries from small amounts of degraded total RNA. This technique is advantageous in situations where a cDNA library with complete but equalized representation of transcribed sequences, whether polyadenylated or not, is desired.

Identification of Conflicting Selective Effects on Highly Expressed Genes

Many different selective effects on DNA and proteins influence the frequency of codons and amino acids in coding sequences. Selection is often stronger on highly expressed genes. Hence, by comparing high- and low-expression genes it is possible to distinguish the factors that are selected by evolution. It has been proposed that highly expressed genes should (i) preferentially use codons matching abundant tRNAs (translational efficiency), (ii) preferentially use amino acids with low cost of synthesis, (iii) be under stronger selection to maintain the required amino acid content, and (iv) be selected for translational robustness. These effects act simultaneously and can be contradictory. We develop a model that combines these factors, and use Akaike's Information Criterion for model selection. We consider pairs of paralogues that arose by whole-genome duplication in Saccharmyces cerevisiae. A codon-based model is used that includes asymmetric effects due to selection on highly expressed genes. The largest effect is translational efficiency, which is found to strongly influence synonymous, but not non-synonymous rates. Minimization of the cost of amino acid synthesis is implicated. However, when a more general measure of selection for amino acid usage is used, the cost minimization effect becomes redundant. Small effects that we attribute to selection for translational robustness can be identified as an improvement in the model fit on top of the effects of translational efficiency and amino acid usage.

Mass spectrometry-based detection of transfer RNAs by their signature endonuclease digestion products

The separation of biologically active, pure, and specific tRNAs is difficult due to the overall similarity in secondary and tertiary structures of different tRNAs. Because prior methods do not facilitate high-resolution separations of the extremely complex mixture represented by a cellular tRNA population, global studies of tRNA identity and/or abundance are difficult. We have discovered that the enzymatic digestion of an individual tRNA by a ribonuclease (e.g., RNase T1) will generate digestion products unique to that particular tRNA, and we show that a comparison of an organism's complete complement of tRNA RNase digestion products yields a set of unique or "signature" digestion product(s) that ultimately enable the detection of individual tRNAs from a total tRNA pool. Detection is facilitated by matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS) and proof-of-principle is demonstrated on the whole tRNA pool from Escherichia coli. This method will enable the individual identification of tRNA isoacceptors without requiring specific affinity purification or extensive chromatographic and/or electrophoretic purification. Further, experimental identifications of tRNAs or other RNAs will now be possible using this signature digestion product approach in a manner similar to peptide mass fingerprinting used in proteomics, allowing RNomic studies of RNA at the post-transcriptional level.

The Repertoire of Transfer RNA Genes Is Tuned to Codon Usage Bias in the Genomes of Phytophthora sojae and Phytophthora ramorum

In all, 238 and 155 transfer (t)RNA genes were predicted from the genomes of Phytophthora sojae and P. ramorum, respectively. After omitting pseudogenes and undetermined types of tRNA genes, there remained 208 P. sojae tRNA genes and 140 P. ramorum tRNA genes. There were 45 types of tRNA genes, with distinct anticodons, in each species. Fourteen common anticodon types of tRNAs are missing altogether from the genome in the two species; however, these appear to be compensated by wobbling of other tRNA anticodons in a manner which is tied to the codon bias in Phytophthora genes. The most abundant tRNA class was arginine in both P. sojae and P. ramorum. A codon usage table was generated for these two organisms from a total of 9,803,525 codons in P. sojae and 7,496,598 codons in P. ramorum. The most abundant codon type detected from the codon usage tables was GAG (encoding glutamic acid), whereas the most numerous tRNA gene had a methionine anticodon (CAT). The correlation between the frequencies of tRNA genes and the codon frequencies in protein-coding genes was very low (0.12 in P. sojae and 0.19 in P. ramorum); however, the correlation between amino acid tRNA gene frequency and the corresponding amino acid codon frequency in P. sojae and P. ramorum was substantially higher (0.53 in P. sojae and 0.77 in P. ramorum). The codon usage frequencies of P. sojae and P ramorum were very strongly correlated (0.99), as were tRNA gene frequencies (0.77). Approximately 60% of orthologous tRNA gene pairs in P sojae and P. ramorum are located in regions that have conserved synteny in the two species.

Adenosine monophosphate-induced amplification of ColE1 plasmid DNA in Escherichia coli

ColE1 plasmid copy number was analyzed in relaxed ( relA) and stringent ( relA +) Escherichia coli cells after supplementation of culture media with adenosine monophosphate (AMP). When a relaxed E. coli strain bearing ColE1 plasmid was cultured in LB medium for 18 h and induced with AMP for 4 h, the plasmid DNA yield was significantly increased, from 2.6 to 16.4 mg l −1. However no AMP-induced amplification of ColE1 plasmid DNA was observed in the stringent host. Some plasmid amplification was observed in relA mutant cultures in the presence of adenosine, while adenine, ADP, ATP, ribose, potassium pyrophosphate and sodium phosphate caused a minor, if any, increase in ColE1 copy number. A mechanism for amplification of ColE1 plasmid DNA with AMP in relA mutant bacteria is suggested, in which AMP interferes with the aminoacylation of tRNAs, increases the abundance of uncharged tRNAs, and uncharged tRNAs promote plasmid DNA replication. According to this proposal, in relA + cells, the AMP induction could not increase ColE1 plasmid copy number because of lower abundance of uncharged tRNAs. Our results suggest that the induction with AMP can be used as an effective method of amplification of ColE1 plasmid DNA in relaxed strains of E. coli.

Selective Constraints on Codon Usage of Nuclear Genes from Arabidopsis thaliana

Highly expressed nuclear genes from Arabidopsis thaliana show an increased frequency of codons that match abundant tRNAs, and it has been suggested that this reflects a selective pressure to increase translation efficiency. Here we explore the possibility that the difference in codon usage between highly expressed genes and other Arabidopsis genes is not the result of selection but, rather, arises from mutation biases. Specifically, we explore the possibility that an influence of transcription level on mutational properties coupled with a context dependency of mutations, both of which have been observed in various organisms, contribute to variation in codon-usage bias across genes. Using noncoding sites immediately flanking both high- and low-expression-coding sequences to infer context-dependent composition biases, we analyze codon-usage bias across genes. The data show that mutation bias cannot explain codon usage of high-expression genes in Arabidopsis and, surprisingly, also indicate that even low-expression genes are under selective constraints. In addition, the data indicate that the general preference for certain codons is context dependent; the composition of the 3' nucleotide, that is, the first position of the next codon, is correlated with what codon is found at an increased frequency in highly expressed genes. This context dependency indicates that selective pressure on codon usage is more complex than previously thought. Overall, the study supports previous suggestions that selection plays a significant role in determining codon usage of nuclear genes in A. thaliana.

The action of selection on codon bias in the human genome is related to frequency, complexity, and chronology of amino acids.

BackgroundThe question of whether synonymous codon choice is affected by cellular tRNA abundance has been positively answered in many organisms. In some recent works, concerning the human genome, this relation has been studied, but no conclusive answers have been found. In the human genome, the variation in base composition and the absence of cellular tRNA count data makes the study of the question more complicated. In this work we study the relation between codon choice and tRNA abundance in the human genome by correcting relative codon usage for background base composition and using a measure based on tRNA-gene copy numbers as a rough estimate of tRNA abundance.ResultsWe term major codons to be those codons with a relatively large tRNA-gene copy number for their corresponding amino acid. We use two measures of expression: breadth of expression (the number of tissues in which a gene was expressed) and maximum expression level among tissues (the highest value of expression of a gene among tissues). We show that for half the amino acids in the study (8 of 16) the relative major codon usage rises with breadth of expression. We show that these amino acids are significantly more frequent, are smaller and simpler, and are more ancient than the rest of the amino acids. Similar, although weaker, results were obtained for maximum expression level.ConclusionThere is evidence that codon bias in the human genome is related to selection, although the selection forces acting on codon bias may not be straightforward and may be different for different amino acids. We suggest that, in the first group of amino acids, selection acts to enhance translation efficiency in highly expressed genes by preferring major codons, and acts to reduce translation rate in lowly expressed genes by preferring non-major ones. In the second group of amino acids other selection forces, such as reducing misincorporation rate of expensive amino acids, in terms of their size/complexity, may be in action.The fact that codon usage is more strongly related to breadth of expression than to maximum expression level supports the notion, presented in a recent study, that codon choice may be related to the tRNA abundance in the tissue in which a gene is expressed.