Principles of start codon recognition in eukaryotic translation initiation

Selection of the correct start codon during initiation of translation on the ribosome is a key event in protein synthesis. In eukaryotic initiation, several factors have to function in concert to ensure that the initiator tRNA finds the cognate AUG start codon during mRNA scanning. The two initiation factors eIF1 and eIF1A are known to provide important functions for the initiation process and codon selection. Here, we have used molecular dynamics free energy calculations to evaluate the energetics of initiator tRNA binding to different near-cognate codons on the yeast 40S ribosomal subunit, in the presence and absence of these two initiation factors. The results show that eIF1 and eIF1A together cause a relatively uniform and high discrimination against near-cognate codons. This works such that eIF1 boosts the discrimination against a first position near-cognate G-U mismatch, and also against a second position A-A base pair, while eIF1A mainly acts on third codon position. The computer simulations further reveal the structural basis of the increased discriminatory effect caused by binding of eIF1 and eIF1A to the 40S ribosomal subunit.     

Feature selection for the prediction of translation initiation sites

Translation initiation sites （TISs） are important signals in cDNA sequences. In many previous attempts to predict TISs in cDNA sequences, three major factors affect the prediction performance： the nature of the cDNA sequence sets, the relevant features selected. and the classification methods used. In this paper, we examine different approaches to select and integrate relevant features for TIS prediction. The top selected significant features include the features from the position weight matrix and the propensity matrix, the number of nucleotide C in the sequence downstream ATG, the number of downstream stop codons. the number of upstream ATGs, and the number of some amino acids, such as amino acids A and D. With the numerical data generated from these features, different classification methods, including decision tree. naive Bayes, and support vector machine, were applied to three independent sequence sets. The identified significant features were found to be biologically meaningful. while the experiments showed promising results.     

Poliovirus switches to an eIF2-independent mode of translation during infection

Inhibition of translation is an integral component of the innate antiviral response and is largely accomplished via interferon-activated phosphorylation of the α subunit of eukaryotic initiation factor 2 (eIF2α). To successfully infect a host, a virus must overcome this blockage by either controlling eIF2α phosphorylation or by utilizing a noncanonical mode of translation initiation. Here we show that enterovirus RNA is sensitive to translation inhibition resulting from eIF2α phosphorylation, but it becomes resistant as infection progresses. Further, we show that the cleavage of initiation factor eIF5B during enteroviral infection, along with the viral internal ribosome entry site, plays a role in mediating viral translation under conditions that are nonpermissive for host cell translation. Together, these results provide a mechanism by which enteroviruses evade the antiviral response and provide insight into a noncanonical mechanism of translation initiation.     

Bioinformatics analysis of a Saccharomyces cerevisiae N-terminal proteome provides evidence of alternative translation initiation and post-translational N-terminal acetylation

Initiation of protein translation is a well-studied fundamental process, albeit high-throughput and more comprehensive determination of the exact translation initiation sites (TIS) was only recently made possible following the introduction of positional proteomics techniques that target protein N-termini. Precise translation initiation is of crucial importance, as truncated or extended proteins might fold, function, and locate erroneously. Still, as already shown for some proteins, alternative translation initiation can also serve as a regulatory mechanism. By applying N-terminal COFRADIC (combined fractional diagonal chromatography), we here isolated N-terminal peptides of a Saccharomyces cerevisiae proteome and analyzed both annotated and alternative TIS. We analyzed this N-terminome of S. cerevisiae which resulted in the identification of 650 unique N-terminal peptides corresponding to database annotated TIS. Furthermore, 56 unique N(α)-acetylated peptides were identified that suggest alternative TIS (MS/MS-based), while MS-based evidence of N(α)-acetylation led to an additional 33 such peptides. To improve the overall sensitivity of the analysis, we also included the 5' UTR (untranslated region) in-frame translations together with the yeast protein sequences in UniProtKB/Swiss-Prot. To ensure the quality of the individual peptide identifications, peptide-to-spectrum matches were only accepted at a 99% probability threshold and were subsequently analyzed in detail by the Peptizer tool to automatically ascertain their compliance with several expert criteria. Furthermore, we have also identified 60 MS/MS-based and 117 MS-based N(α)-acetylated peptides that point to N(α)-acetylation as a post-translational modification since these peptides did not start nor were preceded (in their corresponding protein sequence) by a methionine residue. Next, we evaluated consensus sequence features of nucleic acids and amino acids across each of these groups of peptides and evaluated the results in the context of publicly available data. Taken together, we present a list of 706 annotated and alternative TIS for yeast proteins and found that under normal growth conditions alternative TIS might (co)occur in S. cerevisiae in roughly one tenth of all proteins. Furthermore, we found that the nucleic acid and amino acid features proximate to these alternative TIS favor either guanine or adenine nucleotides following the start codon or acidic amino acids following the initiator methionine. Finally, we also observed an unexpected high number of N(α)-acetylated peptides that could not be related to TIS and therefore suggest events of post-translational N(α)-acetylation.     

eIF5A binds to translational machinery components and affects translation in yeast

The putative translation factor eIF5A is essential for cell viability and is highly conserved from archebacteria to mammals. Although this protein was originally identified as a translation initiation factor, subsequent experiments did not support a role for eIF5A in general translation. In this work, we demonstrate that eIF-5A interacts with structural components of the 80S ribosome, as well as with the translation elongation factor 2 (eEF2). Moreover, eIF5A is further shown to cofractionate with monosomes in a translation-dependent manner. Finally, eIF5A mutants show altered polysome profiles and are sensitive to translation inhibitors. Our results re-establish a function for eIF5A in translation and suggest a role for this factor in translation elongation instead of translation initiation.     

Visibly stressed: the role of eIF2, TIA-1, and stress granules in protein translation

Eukaryotic cells express a family of eukaryotic translation initiation factor 2 alpha (eIF2alpha) kinases (eg, PKR, PERK-PEK, GCN2, HRI) that are individually activated in response to distinct types of environmental stress. Phosphorylation of eIF2alpha by one or more of these kinases reduces the concentration of eIF2-guanosine triphosphate (GTP)-transfer ribonucleic acid for methionine (tRNA(Met)), the ternary complex that loads tRNA(Met) onto the small ribosomal subunit to initiate protein translation. When ternary complex levels are reduced, the related RNA-binding proteins TIA-1 and TIAR promote the assembly of a noncanonical preinitiation complex that lacks eIF2-GTP-tRNA(Met). The TIA proteins dynamically sort these translationally incompetent preinitiation complexes into discrete cytoplasmic domains known as stress granules (SGs). RNA-binding proteins that stabilize or destabilize messenger RNA (mRNA) are also recruited to SGs during stress. Thus, TIA-1 and TIAR act downstream of eIF2alpha phosphorylation to promote SG assembly and facilitate mRNA triage during stress. The role of the SG in the integration of translational efficiency, mRNA stability, and the stress response is discussed.     

Evolutionarily conserved non-AUG translation initiation in NAT1/p97/DAP5 (EIF4G2)

Only a few cases of exclusive translation initiation at non-AUG codons have been reported. We recently demonstrated that mammalian NAT1 mRNA, encoded by EIF4G2, uses GUG as its only translation initiation codon. In this study, we identified NAT1 orthologs from chicken, Xenopus, and zebrafish and found that in all species, the GUG codon also serves as the initiation codon. In all species, the GUG codon fulfilled the reported requirements for non-AUG initiation: an optimal Kozak motif and a downstream hairpin structure. Site-directed mutagenesis showed that nucleotides at positions -3 and +4 are critical for the GUG-mediated translation initiation in vitro. We found that NAT1 orthologs in Drosophila melanogaster and Halocynthia roretzi also use non-AUG start codons, demonstrating evolutionary conservation of the noncanonical translation initiation.     

Eukaryotic translation initiation factor 5 is critical for integrity of the scanning preinitiation complex and accurate control of GCN4 translation

The integrity of eukaryotic translation initiation factor (eIF) interactions in ribosomal pre-initiation complexes is critical for the proper regulation of GCN4 mRNA translation in response to amino acid availability. Increased phosphorylation of eIF2 under amino acid starvation conditions leads to a corresponding increase in GCN4 mRNA translation. The carboxyl-terminal domain (CTD) of eIF5 (eIF5-CTD) has been identified as a potential nucleation site for pre-initiation complex assembly. To further characterize eIF5 and delineate its role in GCN4 translational control, we isolated mutations leading to temperature sensitivity (Ts- phenotype) targeted at TIF5, the structural gene encoding eIF5 in yeast (Saccharomyces cerevisiae). Nine single point mutations were isolated, in addition to an allele in which the last 15 amino acids were deleted. The nine point mutations clustered in the eIF5-CTD, which contains two conserved aromatic/acidic boxes. Six of the point mutations derepressed GCN4 translation independent of eIF2 phosphorylation (Gcd- phenotype) at a permissive temperature, directly implicating eIF5-CTD in the eIF2/GTP/Met-tRNA(i)Met ternary complex binding process required for GCN4 translational control. In addition, stronger restriction of eIF5-CTD function at an elevated temperature led to failure to derepress GCN4 translation (Gcn- phenotype) in all of the mutants, most likely due to leaky scanning of the first upstream open reading frame of GCN4 mRNA. This latter result directly implicates eIF5-CTD in the process of accurate scanning for, or recognition of, AUG codons. Taken together, our results indicate that eIF5-CTD plays a critical role in both the assembly of the 43S complex and the post-assembly process in the 48S complex, likely during the scanning process.     

Computational evaluation of TIS annotation for prokaryotic genomes

Background  

Accurate annotation of translation initiation sites (TISs) is essential for understanding the translation initiation mechanism. However, the reliability of TIS annotation in widely used databases such as RefSeq is uncertain due to the lack of experimental benchmarks.     

Using amino acid patterns to accurately predict translation initiation sites

The translation initiation site (TIS) prediction problem is about how to correctly identify TIS in mRNA, cDNA, or other types of genomic sequences. High prediction accuracy can be helpful in a better understanding of protein coding from nucleotide sequences. This is an important step in genomic analysis to determine protein coding from nucleotide sequences. In this paper, we present an in silico method to predict translation initiation sites in vertebrate cDNA or mRNA sequences. This method consists of three sequential steps as follows. In the first step, candidate features are generated using k-gram amino acid patterns. In the second step, a small number of top-ranked features are selected by an entropy-based algorithm. In the third step, a classification model is built to recognize true TISs by applying support vector machines or ensembles of decision trees to the selected features. We have tested our method on several independent data sets, including two public ones and our own extracted sequences. The experimental results achieved are better than those reported previously using the same data sets. Our high accuracy not only demonstrates the feasibility of our method, but also indicates that there might be "amino acid" patterns around TIS in cDNA and mRNA sequences.     

Active ERK contributes to protein translation by preventing JNK-dependent inhibition of protein phosphatase 1

Human alveolar macrophages, central to immune responses in the lung, are unique in that they have an extended life span in contrast to precursor monocytes. We have shown previously that the ERK MAPK (ERK) pathway is constitutively active in human alveolar macrophages and contributes to the prolonged survival of these cells. We hypothesized that ERK maintains survival, in part, by positively regulating protein translation. In support of this hypothesis, we have found novel links among ERK, JNK, protein phosphatase 1 (PP1), and the eukaryotic initiation factor (eIF) 2alpha. eIF2alpha is active when hypophosphorylated and is essential for initiation of protein translation (delivery of initiator tRNA charged with methionine to the ribosome). Using [(35)S]methionine labeling, we found that ERK inhibition significantly decreased protein translation rates in alveolar macrophages. Decreased protein translation resulted from phosphorylation (and inactivation) of eIF2alpha. We found that ERK inhibition increased JNK activity. JNK in turn inactivated (via phosphorylation) PP1, the phosphatase responsible for maintaining the hypophosphorylated state of eIF2alpha. As a composite, our data demonstrate that in human alveolar macrophages, constitutive ERK activity positively regulates protein translation via the following novel pathway: active ERK inhibits JNK, leading to activation of PP1alpha, eIF2alpha dephosphorylation, and translation initiation. This new role for ERK in alveolar macrophage homeostasis may help to explain the survival characteristic of these cells within their unique high oxygen and stress microenvironment.     

A class of edit kernels for SVMs to predict translation initiation sites in eukaryotic mRNAs.

The prediction of translation initiation sites (TISs) in eukaryotic mRNAs has been a challenging problem in computational molecular biology. In this paper, we present a new algorithm to recognize TISs with a very high accuracy. Our algorithm includes two novel ideas. First, we introduce a class of new sequence-similarity kernels based on string editing, called edit kernels, for use with support vector machines (SVMs) in a discriminative approach to predict TISs. The edit kernels are simple and have significant biological and probabilistic interpretations. Although the edit kernels are not positive definite, it is easy to make the kernel matrix positive definite by adjusting the parameters. Second, we convert the region of an input mRNA sequence downstream to a putative TIS into an amino acid sequence before applying SVMs to avoid the high redundancy in the genetic code. The algorithm has been implemented and tested on previously published data. Our experimental results on real mRNA data show that both ideas improve the prediction accuracy greatly and that our method performs significantly better than those based on neural networks and SVMs with polynomial kernels or Salzberg kernels.     

Codon usage and protein length-dependent feedback from translation elongation regulates translation initiation and elongation speed

Essential cellular functions require efficient production of many large proteins but synthesis of large proteins encounters many obstacles in cells. Translational control is mostly known to be regulated at the initiation step. Whether translation elongation process can feedback to regulate initiation efficiency is unclear. Codon usage bias, a universal feature of all genomes, plays an important role in determining gene expression levels. Here, we discovered that there is a conserved but codon usage-dependent genome-wide negative correlation between protein abundance and CDS length. The codon usage effects on protein expression and ribosome flux on mRNAs are influenced by CDS length; optimal codon usage preferentially promotes production of large proteins. Translation of mRNAs with long CDS and non-optimal codon usage preferentially induces phosphorylation of initiation factor eIF2α, which inhibits translation initiation efficiency. Deletion of the eIF2α kinase CPC-3 (GCN2 homolog) in Neurospora preferentially up-regulates large proteins encoded by non-optimal codons. Surprisingly, CPC-3 also inhibits translation elongation rate in a codon usage and CDS length-dependent manner, resulting in slow elongation rates for long CDS mRNAs. Together, these results revealed a codon usage and CDS length-dependent feedback mechanism from translation elongation to regulate both translation initiation and elongation kinetics.     

Stringency of start codon selection modulates autoregulation of translation initiation factor eIF5

An AUG in an optimal nucleotide context is the preferred translation initiation site in eukaryotic cells. Interactions among translation initiation factors, including eIF1 and eIF5, govern start codon selection. Experiments described here showed that high intracellular eIF5 levels reduced the stringency of start codon selection in human cells. In contrast, high intracellular eIF1 levels increased stringency. High levels of eIF5 induced translation of inhibitory upstream open reading frames (uORFs) in eIF5 mRNA that initiate with AUG codons in conserved poor contexts. This resulted in reduced translation from the downstream eIF5 start codon, indicating that eIF5 autoregulates its own synthesis. As with eIF1, which is also autoregulated through translation initiation, features contributing to eIF5 autoregulation show deep evolutionary conservation. The results obtained provide the basis for a model in which auto- and cross-regulation of eIF5 and eIF1 translation establish a regulatory feedback loop that would stabilize the stringency of start codon selection.     

Recognition of translation initiation sites of eukaryotic genes based on an EM algorithm.

With the rapid increase of DNA databases of human and other eukaryotic model organisms, a large great number of genes need to be distinguished from the DNA databases. Exact recognition of translation initiation sites (TISs) of eukaryotic genes is very important to understand the translation initiation process, predict the detailed structure of eukaryotic genes, and annotate uncharacterized sequences. The problem has not been solved satisfactorily, especially for recognizing TISs of the eukaryotic genes with shorter first exons. It is an important task for extracting new features and finding new powerful algorithms for recognizing TISs of eukaryotic genes. In this paper, the important characteristics of shorter flanking fragments around TISs are extracted and an expectation-maximization (EM) algorithm based on incomplete data is used to recognize TISs of eukaryotic genes. The accuracy is up to 87.8% over a six-fold cross-validation test. The result shows that the identification variables are effectively extracted and the EM algorithm is a powerful tool to predict the TISs of eukaryotic genes. The algorithm also can be applied to other classification or clustering tasks in bioinformatics.