Non-canonical Start Codons Research Articles

Non-canonical start codons confer context-dependent advantages in carbohydrate utilization for commensal E. coli in the murine gut.

Resource competition is a driver of gut microbiota composition. Bacteria can outcompete metabolically similar rivals through the limitation of shared growth-fuelling nutrients. The mechanisms underlying this remain unclear for bacteria with identical sets of metabolic genes. Here we analysed the lactose utilization operon in the murine commensal Escherichia coli 8178. Using in vitro and in vivo approaches, we showed that translation of the lactose utilization repressor gene lacI from its native non-canonical GTG start codon increases the basal expression of the lactose utilization cluster, enhancing adaptation to lactose consumption. Consequently, a strain carrying the wild type lacI GTG start codon outperformed the lacI ATG start codon mutant in the mouse intestine. This advantage was attenuated upon limiting host lactose intake through diet shift or altering the mutant frequency, emphasizing the context-dependent effect of a single nucleotide change on the bacterial fitness of a common member of the gut microbiota. Coupled with a genomic analysis highlighting the selection of non-ATG start codons in sugar utilization regulator genes across the Enterobacteriaceae family, our data exposed an unsuspected function of non-canonical start codons in metabolic competition.

Evidence for widespread translation of 5' untranslated regions.

Ribosome profiling experiments support the translation of a range of novel human open reading frames. By contrast, most peptides from large-scale proteomics experiments derive from just one source, 5' untranslated regions. Across the human genome we find evidence for 192 translated upstream regions, most of which would produce protein isoforms with extended N-terminal ends. Almost all of these N-terminal extensions are from highly abundant genes, which suggests that the novel regions we detect are just the tip of the iceberg. These upstream regions have characteristics that are not typical of coding exons. Their GC-content is remarkably high, even higher than 5' regions in other genes, and a large majority have non-canonical start codons. Although some novel upstream regions have cross-species conservation - five have orthologues in invertebrates for example - the reading frames of two thirds are not conserved beyond simians. These non-conserved regions also have no evidence of purifying selection, which suggests that much of this translation is not functional. In addition, non-conserved upstream regions have significantly more peptides in cancer cell lines than would be expected, a strong indication that an aberrant or noisy translation initiation process may play an important role in translation from upstream regions.

The initiation factor 3 (IF3) residues interacting with initiator tRNA elbow modulate the fidelity of translation initiation and growth fitness in Escherichia coli.

Initiation factor 3 (IF3) regulates the fidelity of bacterial translation initiation by debarring the use of non-canonical start codons or non-initiator tRNAs and prevents premature docking of the 50S ribosomal subunit to the 30S pre-initiation complex (PIC). The C-terminal domain (CTD) of IF3 can carry out most of the known functions of IF3 and sustain Escherichia coli growth. However, the roles of the N-terminal domain (NTD) have remained unclear. We hypothesized that the interaction between NTD and initiator tRNAfMet (i-tRNA) is essential to coordinate the movement of the two domains during the initiation pathway to ensure fidelity of the process. Here, using atomistic molecular dynamics (MD) simulation, we show that R25A/Q33A/R66A mutations do not impact NTD structure but disrupt its interaction with i-tRNA. These NTD residues modulate the fidelity of translation initiation and are crucial for bacterial growth. Our observations also implicate the role of these interactions in the subunit dissociation activity of CTD of IF3. Overall, the study shows that the interactions between NTD of IF3 and i-tRNA are crucial for coupling the movements of NTD and CTD of IF3 during the initiation pathway and in imparting growth fitness to E. coli.

RiboNT: A Noise-Tolerant Predictor of Open Reading Frames from Ribosome-Protected Footprints

Ribo-seq, also known as ribosome profiling, refers to the sequencing of ribosome-protected mRNA fragments (RPFs). This technique has greatly advanced our understanding of translation and facilitated the identification of novel open reading frames (ORFs) within untranslated regions or non-coding sequences as well as the identification of non-canonical start codons. However, the widespread application of Ribo-seq has been hindered because obtaining periodic RPFs requires a highly optimized protocol, which may be difficult to achieve, particularly in non-model organisms. Furthermore, the periodic RPFs are too short (28 nt) for accurate mapping to polyploid genomes, but longer RPFs are usually produced with a compromise in periodicity. Here we present RiboNT, a noise-tolerant ORF predictor that can utilize RPFs with poor periodicity. It evaluates RPF periodicity and automatically weighs the support from RPFs and codon usage before combining their contributions to identify translated ORFs. The results demonstrate the utility of RiboNT for identifying both long and small ORFs using RPFs with either good or poor periodicity. We implemented the pipeline on a dataset of RPFs with poor periodicity derived from membrane-bound polysomes of Arabidopsis thaliana seedlings and identified several small ORFs (sORFs) evolutionarily conserved in diverse plant species. RiboNT should greatly broaden the application of Ribo-seq by minimizing the requirement of RPF quality and allowing the use of longer RPFs, which is critical for organisms with complex genomes because these RPFs can be more accurately mapped to the position from which they were derived.

UORF-seqr: A Machine Learning-Based Approach to the Identification of Upstream Open Reading Frames in Yeast.

The identification of upstream open reading frames (uORFs) using ribosome profiling data is complicated by several factors such as the noise inherent to the procedure, the substantial increase in potential translation initiation sites (and false positives) when one includes non-canonical start codons, and the paucity of molecularly validated uORFs. Here we present uORF-seqr, a novel machine learning algorithm that uses ribosome profiling data, in conjunction with RNA-seq data, as well as transcript aware genome annotation files to identify statistically significant AUG and near-cognate codon uORFs.

Translation Initiation Site Profiling Reveals Widespread Synthesis of Non-AUG-Initiated Protein Isoforms in Yeast.

Genomic analyses in budding yeast have helped define the foundational principles of eukaryotic gene expression. However, in the absence of empirical methods for defining coding regions, these analyses have historically excluded specific classes of possible coding regions, such as those initiating at non-AUG start codons. Here, we applied an experimental approach to globally annotate translation initiation sites in yeast and identified 149 genes with alternative N-terminally extended protein isoforms initiating from near-cognate codons upstream of annotated AUG start codons. These isoforms are produced in concert with canonical isoforms and translated with high specificity, resulting from initiation at only a small subset of possible start codons. The non-AUG initiation driving their production is enriched during meiosis and induced by low eIF5A, which is seen in this context. These findings reveal widespread production of non-canonical protein isoforms and unexpected complexity to the rules by which even a simple eukaryotic genome is decoded.

Integrative functional genomics decodes herpes simplex virus 1

The predicted 80 open reading frames (ORFs) of herpes simplex virus 1 (HSV-1) have been intensively studied for decades. Here, we unravel the complete viral transcriptome and translatome during lytic infection with base-pair resolution by computational integration of multi-omics data. We identify a total of 201 transcripts and 284 ORFs including all known and 46 novel large ORFs. This includes a so far unknown ORF in the locus deleted in the FDA-approved oncolytic virus Imlygic. Multiple transcript isoforms expressed from individual gene loci explain translation of the vast majority of ORFs as well as N-terminal extensions (NTEs) and truncations. We show that NTEs with non-canonical start codons govern the subcellular protein localization and packaging of key viral regulators and structural proteins. We extend the current nomenclature to include all viral gene products and provide a genome browser that visualizes all the obtained data from whole genome to single-nucleotide resolution.

Comprehensive profiling of translation initiation in influenza virus infected cells.

Translation can initiate at alternate, non-canonical start codons in response to stressful stimuli in mammalian cells. Recent studies suggest that viral infection and anti-viral responses alter sites of translation initiation, and in some cases, lead to production of novel immune epitopes. Here we systematically investigate the extent and impact of alternate translation initiation in cells infected with influenza virus. We perform evolutionary analyses that suggest selection against non-canonical initiation at CUG codons in influenza virus lineages that have adapted to mammalian hosts. We then use ribosome profiling with the initiation inhibitor lactimidomycin to experimentally delineate translation initiation sites in a human lung epithelial cell line infected with influenza virus. We identify several candidate sites of alternate initiation in influenza mRNAs, all of which occur at AUG codons that are downstream of canonical initiation codons. One of these candidate downstream start sites truncates 14 amino acids from the N-terminus of the N1 neuraminidase protein, resulting in loss of its cytoplasmic tail and a portion of the transmembrane domain. This truncated neuraminidase protein is expressed on the cell surface during influenza virus infection, is enzymatically active, and is conserved in most N1 viral lineages. We do not detect globally higher levels of alternate translation initiation on host transcripts upon influenza infection or during the anti-viral response, but the subset of host transcripts induced by the anti-viral response is enriched for alternate initiation sites. Together, our results systematically map the landscape of translation initiation during influenza virus infection, and shed light on the evolutionary forces shaping this landscape.

Comparative Proteomics Enables Identification of Nonannotated Cold Shock Proteins in E. coli.

Recent advances in mass spectrometry-based proteomics have revealed translation of previously nonannotated microproteins from thousands of small open reading frames (smORFs) in prokaryotic and eukaryotic genomes. Facile methods to determine cellular functions of these newly discovered microproteins are now needed. Here, we couple semiquantitative comparative proteomics with whole-genome database searching to identify two nonannotated, homologous cold shock-regulated microproteins in Escherichia coli K12 substr. MG1655, as well as two additional constitutively expressed microproteins. We apply molecular genetic approaches to confirm expression of these cold shock proteins (YmcF and YnfQ) at reduced temperatures and identify the noncanonical ATT start codons that initiate their translation. These proteins are conserved in related Gram-negative bacteria and are predicted to be structured, which, in combination with their cold shock upregulation, suggests that they are likely to have biological roles in the cell. These results reveal that previously unknown factors are involved in the response of E. coli to lowered temperatures and suggest that further nonannotated, stress-regulated E. coli microproteins may remain to be found. More broadly, comparative proteomics may enable discovery of regulated, and therefore potentially functional, products of smORF translation across many different organisms and conditions.

Translational Control of the SigR-Directed Oxidative Stress Response in Streptomyces via IF3-Mediated Repression of a Noncanonical GTC Start Codon.

ABSTRACTThe major oxidative stress response in Streptomyces is controlled by the sigma factor SigR and its cognate antisigma factor RsrA, and SigR activity is tightly controlled through multiple mechanisms at both the transcriptional and posttranslational levels. Here we show that sigR has a highly unusual GTC start codon and that this leads to another level of SigR regulation, in which SigR translation is repressed by translation initiation factor 3 (IF3). Changing the GTC to a canonical start codon causes SigR to be overproduced relative to RsrA, resulting in unregulated and constitutive expression of the SigR regulon. Similarly, introducing IF3* mutations that impair its ability to repress SigR translation has the same effect. Thus, the noncanonical GTC sigR start codon and its repression by IF3 are critical for the correct and proper functioning of the oxidative stress regulatory system. sigR and rsrA are cotranscribed and translationally coupled, and it had therefore been assumed that SigR and RsrA are produced in stoichiometric amounts. Here we show that RsrA can be transcribed and translated independently of SigR, present evidence that RsrA is normally produced in excess of SigR, and describe the factors that determine SigR-RsrA stoichiometry.

Measurements of translation initiation from all 64 codons in E. coli.

Our understanding of translation underpins our capacity to engineer living systems. The canonical start codon (AUG) and a few near-cognates (GUG, UUG) are considered as the ‘start codons’ for translation initiation in Escherichia coli. Translation is typically not thought to initiate from the 61 remaining codons. Here, we quantified translation initiation of green fluorescent protein and nanoluciferase in E. coli from all 64 triplet codons and across a range of DNA copy number. We detected initiation of protein synthesis above measurement background for 47 codons. Translation from non-canonical start codons ranged from 0.007 to 3% relative to translation from AUG. Translation from 17 non-AUG codons exceeded the highest reported rates of non-cognate codon recognition. Translation initiation from non-canonical start codons may contribute to the synthesis of peptides in both natural and synthetic biological systems.

Reinitiation at non-canonical start codons leads to leak expression when incorporating unnatural amino acids.

With the rapid development of a continuously growing selection of unnatural amino acids (UAAs), UAA insertion becomes increasingly popular for investigating proteins. However, it can prove problematic to ensure the homogeneity of the expressed proteins, when homogeneity is compromised by “leak expression”. Here, we show that leak expression may be mediated by reinitiation and can result in unwanted proteins when stop codons for UAA insertion are mutated into the N-terminus of proteins. We demonstrate that up to 25% of leak expression occurs through reinitiation in the Shaker-Kv channel when stop codons are located within the first 70 amino acids. Several non-canonical start codons were identified as translation reinitaition sites, and by removing the start codons, we were able to decrease leak expression to less than 1%. Our study emphasizes the need to carefully inspect for leak expression when inserting UAAs and demonstrates how leak expression can be eliminated.

Non-Canonical Start Codons Reinitiate Translation in N-Terminal Truncated Kv Channels

Genetic incorporation of unnatural amino acids (UAA) is a powerful tool to investigate protein structure and function. Through nonsense suppression of stop codons, UAAs are incorporated into proteins using chemically charged tRNAs or orthogonal tRNA/tRNA synthetase (tRNA/RS) pairs. Previously, we successfully incorporated a fluorescent UAA into the voltage gated-potassium (Kv) channel. The nonsense stop codons were located either central or C-terminal, and no leak expression was detected in the absence of the UAA, reflecting orthogonality of the tRNA/RS pair used. Here, we show that when stop codons are introduced in the near N-terminal region of the same Kv channel, a considerable amount of leak expression results from translation reinitiation. Since reinitiation only can occur when the distance between the first methionine and the inserted stop codon is short, it explains the position-dependent leak expression. We demonstrate that reinitiation occurs at several non-canonical (non-AUG) start codons, and leak expression was decreased from 25% to less than 1% through silent mutations of start codons. When using UAAs, it is crucial to have control of the protein translation process in order to get reliable results, and we emphasize that caution should be taken when UAAs are incorporated in the N-terminal region of any protein. This is particularly important if the N-terminal has a functional role where truncation generates a modulated phenotype which could be wrongly interpreted to be caused by the inserted UAA. To avoid reinitiation-mediated leak expression, we therefore recommend removing both canonical and non-canonical start codons.

Hidden coding potential of eukaryotic genomes: nonAUG started ORFs

It is widely considered that the vast majority of eukaryotic mRNAs contain only one open reading frame (ORF) and encode single protein. However, eukaryotic ribosomes can initiate translation at alternative start codons due to leaky scanning or reinitiation mechanisms that provides an opportunity to synthesize several protein products. Recent investigations also demonstrated that alternative translation from nonAUG start codons and AUG codons in a weak nucleotide context could make an important contribution to eukaryotic proteomes. However, accurate prediction of alternative start codons demands detailed investigation of mRNA features influencing their recognition by eukaryotic ribosomes. In this work, we present the results of computational analysis of characteristics of yeast and mammalian mRNAs potentially involved in the recognition of nonAUG start codons. It was found that sequence features of nonAUG started Saccharomyces cerevisiae upstream ORFs (uORFs) were adjusted for efficient translation and these uORFs could frequently encode functional polypeptides. In particular, our initial studies revealed that predicted tertiary structures downstream of nonAUG start sites in mammalian mRNAs were energetically more stable than those predicted for AUG start sites with strong Kozak context. We hypothesize that presence of such stable tertiary structure downstream of nonAUG start sites could be an important factor for the ribosome to recognize noncanonical start codons.

Microbial Proteogenomics, Gaining Ground with the Avalanche of Genome Sequences

A consensus for defining the fundamental unit of biological diversity, the species, has not yet been reached for prokaryotes. Although high-throughput molecular tools are now available to assess the microbial diversity, estimating the total number of species of bacteria and archaea on Earth is still a challenge due to the huge amount of low- abundant species present in environmental samples. Ever since the first whole cellular genome sequenced, the one from Haemophilus influenzae in 1995, more than seven thousand complete genomes have been reported. The avalanche of genome sequences is resulting in an exceptional documentation of representatives of numerous taxa. While annotation of these genomes has gained in accuracy with new gene prediction tools, proteogenomics has proved to help in discovering new genes, identifying the true translational initiation codon of coding domain sequences and characterizing maturation events at the protein level such as signal peptide processing. Beside this structural annotation, proteogenomics can also give rise to significant insights into the function of proteins. Basically, proteogenomics consists in obtaining massive protein sequence data by means of large shotgun proteomic strategies and the use of high-throughput tandem mass spectrometry. Such experimental data is then used for improving genome annotation. Unexpected results such as the reversal of gene sequences in different bacteria or the use of non-canonical start codons for translation in Deinococcus species are only some of the numerous corrections documented so far. Today, the proteogenomic analysis of a given set of representatives that fully covered the tree of life would result in a better ground for accurate annotation of novel strains. This would improve comparative genomics studies and could be of help for assessing in what way closely-related species are differing.

Analysis of 5′ UTR composition and gene expression: Canonical versus non-canonical start codons

The overall composition upstream of start codons in Escherichia coli was evaluated and viewed in connection with global transcriptome data. Genes starting with AUG as initiation codon tended to be expressed at higher levels than the non-AUG genes, and the upstream region of the non-AUG genes showed negligible signs of Shine–Dalgarno sequences. The latter is in sharp contrast to the AUG genes. Viewing these findings in connection with the current literature, it is proposed that a distinct mechanism for initiation of translation might exist for non-AUG genes that are not preceded by a Shine–Dalgarno sequence. A survey covering a range of other eubacteria (Firmicutes, Proteoacteria, and Actinobacteria) reveals that it is mainly among the Proteobacteria that non-AUG genes do not display clear signs of Shine–Dalgarno regions.