TransTerm: a database of translational signals.

The TransTerm database of sequence contexts of stop and start codons has been expanded to include approximately 50% more species than last year's release. It now contains 148 organisms and >39 500 coding sequences; it is now available on the World Wide Web. The database includes: (i) initiation and termination sequence contexts organized by species; (ii) summary parameters about the individual sequences (sequence length, GC%, GC3, Nc, CAI) in addition to tables of base frequencies for each species' stop and start codon sequence context; (iii) species codon usage tables; and (iv) summary tables of stop signal frequency.     

The translational termination signal database (TransTerm) now also includes initiation contexts.

The TransTerm database of termination codon contexts has been extended to include sense codon usage, and initiation codon contexts. The database was constructed from 23,721 coding sequences from 93 organisms. The database contains: a) the sequence around the termination codon (-10, +10); b) the sequence around the initiation codon (-20, +10); c) the length, 'G+C%' of the third position of codons (GC3), the 'codon adaptation index' (CAI) and the 'effective number of codons' statistic (Nc); d) summary tables for each organism including total codon usage, stop codon and tetranucleotide stop-signal usage, and matrices tallying base frequencies at each position around the initiation and termination codons. The data are arranged to facilitate investigation of the relationships between the three phases of protein synthesis. The database is available electronically from EMBL.     

Aminoglycoside antibiotics mediate context-dependent suppression of termination codons in a mammalian translation system

The translation machinery recognizes codons that enter the ribosomal A site with remarkable accuracy to ensure that polypeptide synthesis proceeds with a minimum of errors. When a termination codon enters the A site of a eukaryotic ribosome, it is recognized by the release factor eRF1. It has been suggested that the recognition of translation termination signals in these organisms is not limited to a simple trinucleotide codon, but is instead recognized by an extended tetranucleotide termination signal comprised of the stop codon and the first nucleotide that follows. Interestingly, pharmacological agents such as aminoglycoside antibiotics can reduce the efficiency of translation termination by a mechanism that alters this ribosomal proofreading process. This leads to the misincorporation of an amino acid through the pairing of a near-cognate aminoacyl tRNA with the stop codon. To determine whether the sequence context surrounding a stop codon can influence aminoglycoside-mediated suppression of translation termination signals, we developed a series of readthrough constructs that contained different tetranucleotide termination signals, as well as differences in the three bases upstream and downstream of the stop codon. Our results demonstrate that the sequences surrounding a stop codon can play an important role in determining its susceptibility to suppression by aminoglycosides. Furthermore, these distal sequences were found to influence the level of suppression in remarkably distinct ways. These results suggest that the mRNA context influences the suppression of stop codons in response to subtle differences in the conformation of the ribosomal decoding site that result from aminoglycoside binding.     

Usage of the three termination codons: Compilation and analysis of the known eukaryotic and prokaryotic translation termination sequences

Summary The published translation termination sequences have been compiled and analysed to aid the interpretation of experiments on termination codon usage in the Xenopus oocyte (Bienz et al. 1981). There are significant differences between prokaryotes and eukaryotes concerning the usage of the three termination codons and of tandem stops. In addition viruses show termination strategies that differ from those of their hosts. Preferred context sequences flanking termination codons are described. Contexts vary within the last codon according to the nature of the termination codon, but are uniform within the first triplet following the terminators.     

Impact of the six nucleotides downstream of the stop codon on translation termination

The efficiency of translation termination is influenced by local contexts surrounding stop codons. In Saccharomyces cerevisiae, upstream and downstream sequences act synergistically to influence the translation termination efficiency. By analysing derivatives of a leaky stop codon context, we initially demonstrated that at least six nucleotides after the stop codon are a key determinant of readthrough efficiency in S. cerevisiae. We then developed a combinatorial-based strategy to identify poor 3′ termination contexts. By screening a degenerate oligonucleotide library, we identified a consensus sequence –CA(A/G)N(U/C/G)A–, which promotes >5% readthrough efficiency when located downstream of a UAG stop codon. Potential base pairing between this stimulatory motif and regions close to helix 18 and 44 of the 18S rRNA provides a model for the effect of the 3′ stop codon context on translation termination.     

Relationships Among Stop Codon Usage Bias, Its Context, Isochores, and Gene Expression Level in Various Eukaryotes

It is well known that stop codons play a critical role in the process of protein synthesis. However, little effort has been made to investigate whether stop codon usage exhibits biases, such as widely seen for synonymous codon usage. Here we systematically investigate stop codon usage bias in various eukaryotes as well as its relationships with its context, GC3 content, gene expression level, and secondary structure. The results show that there is a strong bias for stop codon usage in different eukaryotes, i.e., UAA is overrepresented in the lower eukaryotes, UGA is overrepresented in the higher eukaryotes, and UAG is least used in all eukaryotes. Different conserved patterns for each stop codon in different eukaryotic classes are found based on information content and logo analysis. GC3 contents increase with increasing complexity of organisms. Secondary structure prediction revealed that UAA is generally associated with loop structures, whereas UGA is more uniformly present in loop and stem structures, i.e., UGA is less biased toward having a particular structure. The stop codon usage bias, however, shows no significant relationship with GC3 content and gene expression level in individual eukaryotes. The results indicate that genomic complexity and GC3 content might contribute to stop codon usage bias in different eukaryotes. Our results indicate that stop codons, like synonymous codons, exhibit biases in usage. Additional work will be needed to understand the causes of these biases and their relationship to the mechanism of protein termination. [Reviewing Editor: Dr. Manyuan Long]     

The translational stop signal: Codon with a context, or extended factor recognition element?

Wide ranging studies of the readthrough of translational stop codons within the last 25 years have suggested that the stop codon might be only part of the molecular signature for recognition of the termination signal. Such studies do not distinguish between effects on suppression and effects on termination, and so we have used a number of different approaches to deduce whether the stop signal is a codon with a context or an extended factor recognition element. A data base of natural termination sites from a wide range of organisms (148 organisms, 40000 sequences) shows a very marked bias in the bases surrounding the stop codon in the genes for all organisms examined, with the most dramatic bias in the base following the codon (+4). The nature of this base determines the efficiency of the stop signal in vivo, and in Escherichia coli this is reinforced by overexpressing the stimulatory factor, release factor-3. Strong signals, defined by their high relative rates of selecting the decoding release factors, are enhanced whereas weak signals respond relatively poorly. Site-directed cross-linking from the +1, and bases up to +6 but not beyond make close contact with the bacterial release factor-2. The translational stop signal is deduced to be an extended factor recognition sequence with a core element, rather than simply a factor recognition triplet codon influenced by context.     

Analysis of Genomic G + C Content, Codon Usage, Initiator Codon Context and Translation Termination Sites In Tetrahymena Thermophila

In recent years, the amount of molecular sequencing data from Tetrahymena thermophila has dramatically increased. We analyzed G + C content, codon usage, initiator codon context and stop codon sites in the extremely A + T rich genome of this ciliate. Average G + C content was 38% for protein coding regions, 21% for 5' non-coding sequences, 19% for 3' non-coding sequences, 15% for introns, 19% for micronuclear limited sequences and 17% for macronuclear retained sequences flanking micronuclear specific regions. The 75 available T. thermophila protein coding sequences favored codons ending in T and, where possible, avoided those with G in the third position. Highly expressed genes were relatively G + C-rich and exhibited an extremely biased pattern of codon usage while developmentally regulated genes were more A + T-rich and showed less codon usage bias. Regions immediately preceding Tetrahymena translation initiator codons were generally A-rich. For the 60 stop codons examined, the frequency of G in the end + 1 site was much higher than expected whereas C never occupied this position.     

The translational signal database, TransTerm: more organisms, complete genomes.

TransTerm is a database of initiation and termination sequence contexts from more than 250 organisms listed in GenBank, including the four complete genomes:Haemophilus influenzae, Methanococcus jannaschii, Mycoplasma genitalium,and Saccharomyces cerevisiae. For the current release, more than 60 000 coding sequences were analysed. The tabulated data include initiation and termination contexts organised by species along with quantitative parameters about individual coding sequences (length, %GC, GC3, Nc and CAI). There are also tables of initiation- and termination-region nucleotide-frequencies, codon usage tables and summaries of stop signal usage. TransTerm is available on the World Wide Web at: http://biochem.otago.ac.nz:800/Transterm/homepage.h tml     

Is the in-frame termination signal of the Escherichia coli release factor-2 frameshift site weakened by a particularly poor context?

The synthesis of release factor-2 (RF-2) in bacteria is regulated by a high efficiency +1 frameshifting event at an in-frame UGA stop codon. The stop codon does not specify the termination of synthesis efficiently because of several upstream stimulators for frameshifting. This study focusses on whether the particular context of the stop codon within the frameshift site of the Escherichia coli RF-2 mRNA contributes to the poor efficiency of termination. The context of UGA in this recoding site is rare at natural termination sites in E.coli genes. We have evaluated how the three nucleotides downstream from the stop codon (+4, +5 and +6 positions) in the native UGACUA sequence affect the competitiveness of the termination codon against the frameshifting event. Changing the C in the +4 position and, separately, the A in the +6 position significantly increase the termination signal strength at the frameshift site, whereas the nucleotide in the +5 position had little influence. The efficiency of particular termination signals as a function of the +4 or +6 nucleotides correlates with how often they occur at natural termination sites in E.coli; strong signals occur more frequently and weak signals are less common.     

Statistical analysis of readthrough levels for nonsense mutations in mammalian cells reveals a major determinant of response to gentamicin

The efficiency of translation termination depends on the nature of the stop codon and the surrounding nucleotides. Some molecules, such as aminoglycoside antibiotics (gentamicin), decrease termination efficiency and are currently being evaluated for diseases caused by premature termination codons. However, the readthrough response to treatment is highly variable and little is known about the rules governing readthrough level and response to aminoglycosides. In this study, we carried out in-depth statistical analysis on a very large set of nonsense mutations to decipher the elements of nucleotide context responsible for modulating readthrough levels and gentamicin response. We quantified readthrough for 66 sequences containing a stop codon, in the presence and absence of gentamicin, in cultured mammalian cells. We demonstrated that the efficiency of readthrough after treatment is determined by the complex interplay between the stop codon and a larger sequence context. There was a strong positive correlation between basal and induced readthrough levels, and a weak negative correlation between basal readthrough level and gentamicin response (i.e. the factor of increase from basal to induced readthrough levels). The identity of the stop codon did not affect the response to gentamicin treatment. In agreement with a previous report, we confirm that the presence of a cytosine in +4 position promotes higher basal and gentamicin-induced readthrough than other nucleotides. We highlight for the first time that the presence of a uracil residue immediately upstream from the stop codon is a major determinant of the response to gentamicin. Moreover, this effect was mediated by the nucleotide itself, rather than by the amino-acid or tRNA corresponding to the -1 codon. Finally, we point out that a uracil at this position associated with a cytosine at +4 results in an optimal gentamicin-induced readthrough, which is the therapeutically relevant variable.     

Recognition of 3′ nucleotide context and stop codon readthrough are determined during mRNA translation elongation

The nucleotide context surrounding stop codons significantly affects the efficiency of translation termination. In eukaryotes, various 3′ contexts that are unfavorable for translation termination have been described; however, the exact molecular mechanism that mediates their effects remains unknown. In this study, we used a reconstituted mammalian translation system to examine the efficiency of stop codons in different contexts, including several previously described weak 3′ stop codon contexts. We developed an approach to estimate the level of stop codon readthrough in the absence of eukaryotic release factors (eRFs). In this system, the stop codon is recognized by the suppressor or near-cognate tRNAs. We observed that in the absence of eRFs, readthrough occurs in a 3′ nucleotide context-dependent manner, and the main factors determining readthrough efficiency were the type of stop codon and the sequence of the 3′ nucleotides. Moreover, the efficiency of translation termination in weak 3′ contexts was almost equal to that in the tested standard context. Therefore, the ability of eRFs to recognize stop codons and induce peptide release is not affected by mRNA context. We propose that ribosomes or other participants of the elongation cycle can independently recognize certain contexts and increase the readthrough of stop codons. Thus, the efficiency of translation termination is regulated by the 3′ nucleotide context following the stop codon and depends on the concentrations of eRFs and suppressor/near-cognate tRNAs.     

Patterns of codon usage in two ciliates that reassign the genetic code: Tetrahymena thermophila and Paramecium tetraurelia

We used the recently sequenced genomes of the ciliates Tetrahymena thermophila and Paramecium tetraurelia to analyze the codon usage patterns in both organisms; we have analyzed codon usage bias, Gln codon usage, GC content and the nucleotide contexts of initiation and termination codons in Tetrahymena and Paramecium. We also studied how these trends change along the length of the genes and in a subset of highly expressed genes. Our results corroborate some of the trends previously described in Tetrahymena, but also negate some specific observations. In both genomes we found a strong bias toward codons with low GC content; however, in highly expressed genes this bias is smaller and codons ending in GC tend to be more frequent. We also found that codon bias increases along gene segments and in highly expressed genes and that the context surrounding initiation and termination codons are always AT rich. Our results also suggest differences in the efficiency of translation of the reassigned stop codons between the two species and between the reassigned codons. Finally, we discuss some of the possible causes for such translational efficiency differences.     

Genome-wide prediction of stop codon readthrough during translation in the yeast Saccharomyces cerevisiae

In-frame stop codons normally signal termination during mRNA translation, but they can be read as ‘sense’ (readthrough) depending on their context, comprising the 6 nt preceding and following the stop codon. To identify novel contexts directing readthrough, under-represented 5′ and 3′ stop codon contexts from Saccharomyces cerevisiae were identified by genome-wide survey in silico. In contrast with the nucleotide bias 3′ of the stop codon, codon bias in the two codon positions 5′ of the termination codon showed no correlation with known effects on stop codon readthrough. However, individually, poor 5′ and 3′ context elements were equally as effective in promoting stop codon readthrough in vivo, readthrough which in both cases responded identically to changes in release factor concentration. A novel method analysing specific nucleotide combinations in the 3′ context region revealed positions +1,2,3,5 and +1,2,3,6 after the stop codon were most predictive of termination efficiency. Downstream of yeast open reading frames (ORFs), further in-frame stop codons were significantly over-represented at the +1, +2 and +3 codon positions after the ORF, acting to limit readthrough. Thus selection against stop codon readthrough is a dominant force acting on 3′, but not on 5′, nucleotides, with detectable selection on nucleotides as far downstream as +6 nucleotides. The approaches described can be employed to define potential readthrough contexts for any genome.     

The signal for a leaky UAG stop codon in several plant viruses includes the two downstream codons

Expression of the RNA replicase domain of tobacco mosaic virus (TMV) and certain protein-coding regions in other plant viruses, is mediated by translational readthrough of a leaky UAG stop codon. It has been proposed that normal tobacco tyrosine tRNAs are able to read the UAG codon of TMV by non-conventional base-pairing but recent findings that stop codons can also be bypassed as a result of extended translocational shifts (tRNA hopping) have encouraged a re-examination. In light of the alternatives, we investigated the sequences flanking the leaky UAG codon using an in vivo assay in which bypass of the stop codon is coupled to the transient expression of beta-glucuronidase (GUS) reporter genes in tobacco protoplasts. Analysis of GUS constructions in which codons flanking the stop were altered allowed definition of the minimal sequence required for read through as UAG-CAA-UUA. The effects of all possible single-base mutations in the codons flanking the stop indicated that 3' contexts of the form CAR-YYA confer leakiness and that the 3' context permits read through of UAA and UGA stop codons as well as UAG. Our studies demonstrate a major role for the 3' context in the read through process and do not support a model in which teh UAG is bypassed exclusively as a result of anticodon-codon interactions. No evidence for tRNA hopping was obtained. The 3' context apparently represents a unique sequence element that affects translation termination.     

Cis control of gene expression in E.coli by ribosome queuing at an inefficient translational stop signal

An UGA stop codon context which is inefficient because of the 3'-flanking context and the last two amino acids in the gene protein product has a negative effect on gene expression, as shown using a model protein A' gene. This is particularly true at low mRNA levels, corresponding to a high intracellular ribosome/mRNA ratio. The negative effect is smaller if this ratio is decreased, or if the distance between the initiation and termination signals is increased. The results suggest that an inefficient termination codon can cause ribosomal pausing and queuing along the upstream mRNA region, thus blocking translation initiation of short genes. This cis control effect is dependent on the stop codon context, including the C-terminal amino acids in the gene product, the translation initiation signal strength, the ribosome/mRNA ratio and the size of the mRNA coding region. A large proportion of poorly expressed natural Escherichia coli genes are small, and the weak termination codon UGA is under-represented in small, highly expressed E.coli genes as compared with the efficient stop codon UAA.     

Variation in Release Factor Abundance Is Not Needed to Explain Trends in Bacterial Stop Codon Usage

In bacteria stop codons are recognized by one of two class I release factors (RF1) recognizing TAG, RF2 recognizing TGA, and TAA being recognized by both. Variation across bacteria in the relative abundance of RF1 and RF2 is thus hypothesized to select for different TGA/TAG usage. This has been supported by correlations between TAG:TGA ratios and RF1:RF2 ratios across multiple bacterial species, potentially also explaining why TAG usage is approximately constant despite extensive variation in GC content. It is, however, possible that stop codon trends are determined by other forces and that RF ratios adapt to stop codon usage, rather than vice versa. Here, we determine which direction of the causal arrow is the more parsimonious. Our results support the notion that RF1/RF2 ratios become adapted to stop codon usage as the same trends, notably the anomalous TAG behavior, are seen in contexts where RF1:RF2 ratios cannot be, or are unlikely to be, causative, that is, at 3′untranslated sites never used for translation termination, in intragenomic analyses, and across archaeal species (that possess only one RF1). We conclude that specifics of RF biology are unlikely to fully explain TGA/TAG relative usage. We discuss why the causal relationships for the evolution of synonymous stop codon usage might be different from those affecting synonymous sense codon usage, noting that transitions between TGA and TAG require two-point mutations one of which is likely to be deleterious.