The influence of the reading context upon the suppression of nonsense codons

Summary One of the basic assumptions of the current views of the genetic code is that the translation machinery reads the messenger RNA one nucleotide triplet codon at a time and that the meaning of a particular codon should not be effected by the surrounding nucleotide sequence (the reading context). Reexamination of existing data shows that this assumption does not hold for the case of suppression of the nonsense codons UAG (amber) and UAA (ochre).The efficiency of amino acid insertion in response to these nonsense codons appears to strongly depend on their location within the message. It is suggested that the translation machinery may interact with a nucleotide sequence longer than three nucleotides when involved in a chain termination reaction.     

Identification of eRF1 residues that play critical and complementary roles in stop codon recognition

The initiation and elongation stages of translation are directed by codon-anticodon interactions. In contrast, a release factor protein mediates stop codon recognition prior to polypeptide chain release. Previous studies have identified specific regions of eukaryotic release factor one (eRF1) that are important for decoding each stop codon. The cavity model for eukaryotic stop codon recognition suggests that three binding pockets/cavities located on the surface of eRF1's domain one are key elements in stop codon recognition. Thus, the model predicts that amino acid changes in or near these cavities should influence termination in a stop codon-dependent manner. Previous studies have suggested that the TASNIKS and YCF motifs within eRF1 domain one play important roles in stop codon recognition. These motifs are highly conserved in standard code organisms that use UAA, UAG, and UGA as stop codons, but are more divergent in variant code organisms that have reassigned a subset of stop codons to sense codons. In the current study, we separately introduced TASNIKS and YCF motifs from six variant code organisms into eRF1 of Saccharomyces cerevisiae to determine their effect on stop codon recognition in vivo. We also examined the consequences of additional changes at residues located between the TASNIKS and YCF motifs. Overall, our results indicate that changes near cavities two and three frequently mediated significant effects on stop codon selectivity. In particular, changes in the YCF motif, rather than the TASNIKS motif, correlated most consistently with variant code stop codon selectivity.     

The role of alternative genetic codes in viral evolution and emergence

Although the ‘universal’ genetic code is widespread among life-forms, a number of diverse lineages have evolved unique codon reassignments. The proteomes of these organisms and organelles must, by necessity, use the same codon assignments. Likewise, for an exogenous genetic element, such as an infecting viral genome, to be accurately and completely expressed with the host's translation system, it must employ the same genetic code. This raises a number of intriguing questions regarding the origin and evolution of viruses. In particular, it is extremely unlikely that viruses of hosts utilizing the universal genetic code would emerge, via cross-species transmission, in hosts utilizing alternative codes, and vice versa. Consequently, more parsimonious scenarios for the origins of such viruses include the prolonged co-evolution of viruses with cellular life, or the escape of genetic material from host genomes. Further, we raise the possibility that emerging viruses provide the selection pressure favoring the use of alternative codes in potential hosts, such that the evolution of a variant genetic code acts as a unique and powerful antiviral strategy. As such, in the face of new emerging viruses, hosts with codon reassignments would have a significant selective advantage compared to hosts utilizing the universal code.     

Selenoprotein synthesis: an expansion of the genetic code.

A number of enzymes employ the unusual amino acid selenocysteine as part of their active site because of its high chemical reactivity. Selenocysteine is incorporated into these proteins co-translationally: biosynthesis occurs on a specific tRNA and insertion into a growing polypeptide is directed by a UGA codon in the mRNA. In E. coli, this requires a specific translation factor. Selenocysteine thus represents a unique expansion of the genetic code.     

Codon usage bias: causative factors,quantification methods and genome‐wide patterns: with emphasis on insect genomes

Codon usage bias refers to the phenomenon where specific codons are used more often than other synonymous codons during translation of genes, the extent of which varies within and among species. Molecular evolutionary investigations suggest that codon bias is manifested as a result of balance between mutational and translational selection of such genes and that this phenomenon is widespread across species and may contribute to genome evolution in a significant manner. With the advent of whole‐genome sequencing of numerous species, both prokaryotes and eukaryotes, genome‐wide patterns of codon bias are emerging in different organisms. Various factors such as expression level, GC content, recombination rates, RNA stability, codon position, gene length and others (including environmental stress and population size) can influence codon usage bias within and among species. Moreover, there has been a continuous quest towards developing new concepts and tools to measure the extent of codon usage bias of genes. In this review, we outline the fundamental concepts of evolution of the genetic code, discuss various factors that may influence biased usage of synonymous codons and then outline different principles and methods of measurement of codon usage bias. Finally, we discuss selected studies performed using whole‐genome sequences of different insect species to show how codon bias patterns vary within and among genomes. We conclude with generalized remarks on specific emerging aspects of codon bias studies and highlight the recent explosion of genome‐sequencing efforts on arthropods (such as twelve Drosophila species, species of ants, honeybee, Nasonia and Anopheles mosquitoes as well as the recent launch of a genome‐sequencing project involving 5000 insects and other arthropods) that may help us to understand better the evolution of codon bias and its biological significance.     

Do universal codon-usage patterns minimize the effects of mutation and translation error?

Background

Do species use codons that reduce the impact of errors in translation or replication? The genetic code is arranged in a way that minimizes errors, defined as the sum of the differences in amino-acid properties caused by single-base changes from each codon to each other codon. However, the extent to which organisms optimize the genetic messages written in this code has been far less studied. We tested whether codon and amino-acid usages from 457 bacteria, 264 eukaryotes, and 33 archaea minimize errors compared to random usages, and whether changes in genome G+C content influence these error values.

Results

We tested the hypotheses that organisms choose their codon usage to minimize errors, and that the large observed variation in G+C content in coding sequences, but the low variation in G+U or G+A content, is due to differences in the effects of variation along these axes on the error value. Surprisingly, the biological distribution of error values has far lower variance than randomized error values, but error values of actual codon and amino-acid usages are actually greater than would be expected by chance.

Conclusion

These unexpected findings suggest that selection against translation error has not produced codon or amino-acid usages that minimize the effects of errors, and that even messages with very different nucleotide compositions somehow maintain a relatively constant error value. They raise the question: why do all known organisms use highly error-minimizing genetic codes, but fail to minimize the errors in the mRNA messages they encode?

     

Decoding mechanisms by which silent codon changes influence protein biogenesis and function

ScopeSynonymous codon usage has been a focus of investigation since the discovery of the genetic code and its redundancy. The occurrences of synonymous codons vary between species and within genes of the same genome, known as codon usage bias. Today, bioinformatics and experimental data allow us to compose a global view of the mechanisms by which the redundancy of the genetic code contributes to the complexity of biological systems from affecting survival in prokaryotes, to fine tuning the structure and function of proteins in higher eukaryotes. Studies analyzing the consequences of synonymous codon changes in different organisms have revealed that they impact nucleic acid stability, protein levels, structure and function without altering amino acid sequence. As such, synonymous mutations inevitably contribute to the pathogenesis of complex human diseases. Yet, fundamental questions remain unresolved regarding the impact of silent mutations in human disorders. In the present review we describe developments in this area concentrating on mechanisms by which synonymous mutations may affect protein function and human health.PurposeThis synopsis illustrates the significance of synonymous mutations in disease pathogenesis. We review the different steps of gene expression affected by silent mutations, and assess the benefits and possible harmful effects of codon optimization applied in the development of therapeutic biologics.Physiological and medical relevanceUnderstanding mechanisms by which synonymous mutations contribute to complex diseases such as cancer, neurodegeneration and genetic disorders, including the limitations of codon-optimized biologics, provides insight concerning interpretation of silent variants and future molecular therapies.     

Parallel evolution of the genetic code in arthropod mitochondrial genomes

The genetic code provides the translation table necessary to transform the information contained in DNA into the language of proteins. In this table, a correspondence between each codon and each amino acid is established: tRNA is the main adaptor that links the two. Although the genetic code is nearly universal, several variants of this code have been described in a wide range of nuclear and organellar systems, especially in metazoan mitochondria. These variants are generally found by searching for conserved positions that consistently code for a specific alternative amino acid in a new species. We have devised an accurate computational method to automate these comparisons, and have tested it with 626 metazoan mitochondrial genomes. Our results indicate that several arthropods have a new genetic code and translate the codon AGG as lysine instead of serine (as in the invertebrate mitochondrial genetic code) or arginine (as in the standard genetic code). We have investigated the evolution of the genetic code in the arthropods and found several events of parallel evolution in which the AGG codon was reassigned between serine and lysine. Our analyses also revealed correlated evolution between the arthropod genetic codes and the tRNA-Lys/-Ser, which show specific point mutations at the anticodons. These rather simple mutations, together with a low usage of the AGG codon, might explain the recurrence of the AGG reassignments.     

Natural expansion of the genetic code

At the time of its discovery four decades ago, the genetic code was viewed as the result of a "frozen accident." Our current knowledge of the translation process and of the detailed structure of its components highlights the roles of RNA structure (in mRNA and tRNA), RNA modification (in tRNA), and aminoacyl-tRNA synthetase diversity in the evolution of the genetic code. The diverse assortment of codon reassignments present in subcellular organelles and organisms of distinct lineages has 'thawed' the concept of a universal immutable code; it may not be accidental that out of more than 140 amino acids found in natural proteins, only two (selenocysteine and pyrrolysine) are known to have been added to the standard 20-member amino acid alphabet. The existence of phosphoseryl-tRNA (in the form of tRNACys and tRNASec) may presage the discovery of other cotranslationally inserted modified amino acids.     

Codon reassignment and the evolving genetic code: problems and pitfalls in post-genome analysis

The in silico translation of open reading frames, using the 'universal genetic code', must be approached with caution. The uncovering of a number of codon reassignments in nuclear and organellar genomes highlights the importance of experimentally confirming the assignments of all 64 codons for the species whose genome is under investigation. Such alterations to codon meaning also suggest that the genetic code is not 'frozen' and continues to evolve.     

General Rules for Optimal Codon Choice

Different synonymous codons are favored by natural selection for translation efficiency and accuracy in different organisms. The rules governing the identities of favored codons in different organisms remain obscure. In fact, it is not known whether such rules exist or whether favored codons are chosen randomly in evolution in a process akin to a series of frozen accidents. Here, we study this question by identifying for the first time the favored codons in 675 bacteria, 52 archea, and 10 fungi. We use a number of tests to show that the identified codons are indeed likely to be favored and find that across all studied organisms the identity of favored codons tracks the GC content of the genomes. Once the effect of the genomic GC content on selectively favored codon choice is taken into account, additional universal amino acid specific rules governing the identity of favored codons become apparent. Our results provide for the first time a clear set of rules governing the evolution of selectively favored codon usage. Based on these results, we describe a putative scenario for how evolutionary shifts in the identity of selectively favored codons can occur without even temporary weakening of natural selection for codon bias.     

Transfer RNA structural change is a key element in the reassignment of the CUG codon in Candida albicans.

The human pathogenic yeast Candida albicans and a number of other Candida species translate the standard leucine CUG codon as serine. This is the latest addition to an increasing number of alterations to the standard genetic code which invalidate the theory that the code is frozen and universal. The unexpected finding that some organisms evolved alternative genetic codes raises two important questions: how have these alternative codes evolved and what evolutionary advantages could they create to allow for their selection? To address these questions in the context of serine CUG translation in C.albicans, we have searched for unique structural features in seryl-tRNA(CAG), which translates the leucine CUG codon as serine, and attempted to reconstruct the early stages of this genetic code switch in the closely related yeast species Saccharomyces cerevisiae. We show that a purine at position 33 (G33) in the C.albicans Ser-tRNA(CAG) anticodon loop, which replaces a conserved pyrimidine found in all other tRNAs, is a key structural element in the reassignment of the CUG codon from leucine to serine in that it decreases the decoding efficiency of the tRNA, thereby allowing cells to survive low level serine CUG translation. Expression of this tRNA in S.cerevisiae induces the stress response which allows cells to acquire thermotolerance. We argue that acquisition of thermotolerance may represent a positive selection for this genetic code change by allowing yeasts to adapt to sudden changes in environmental conditions and therefore colonize new ecological niches.     

Selenocysteine: the 21st amino acid

Great excitement was elicited in the field of selenium biochemistry in 1986 by the parallel discoveries that the genes encoding the selenoproteins glutathione peroxidase and bacterial formate dehydrogenase each contain an in-frame TGA codon within their coding sequence. We now know that this codon directs the incorporation of selenium, in the form of selenocysteine, into these proteins. Working with the bacterial system has led to a rapid increase in our knowledge of selenocysteine biosynthesis and to the exciting discovery that this system can now be regarded as an expansion of the genetic code. The prerequisites for such a definition are co-translational insertion into the polypeptide chain and the occurrence of a tRNA molecule which carries selenocysteine. Both of these criteria are fulfilled and, moreover, tRNASec even has its own special translation factor which delivers it to the translating ribosome. It is the aim of this article to review the events leading to the elucidation of selenocysteine as being the 21st amino acid.     

基于古菌酪氨酰tRNA合成酶非天然氨基酸插入的研究进展

构筑蛋白质的编码信息存在于高度保守的密码子表中,而生物体仅利用20种天然氨基酸,就能排列组合出不同的蛋白质来行使多种生物学功能。通过合成生物学的飞速发展,使得在蛋白质合成中可控地引入非天然氨基酸成为可能。这极大地拓展了蛋白质的结构和功能,并为生物学工具的开发和生物生理过程的研究提供了便利。具有活性基团的非天然氨基酸可以广泛地应用于蛋白质结构研究、蛋白质功能调控以及新型生物材料构建和医药研发等诸多领域。基因密码子拓展技术利用正交翻译系统,通过重新分配密码子改造中心法则,可以在蛋白质的指定位点引入非天然氨基酸。系统地介绍了目前提升密码子拓展技术插入非天然氨基酸效率的方法,包括tRNA以及氨酰tRNA合成酶的各种突变方法和翻译辅助因子的改造。汇总了利用古细菌酪氨酰tRNA合成酶插入的非天然氨基酸和突变位点并总结了密码子拓展技术在生物医药领域的前沿进展。最后讨论了该项技术目前所面临的挑战,如可利用的密码子数量不多、正交翻译系统的种类有限和非天然氨基酸多插效率低下。希望能够帮助研究者建立适合的非天然氨基酸插入方法并推动密码子拓展技术进一步发展。     

Nonstandard genetic codes and translation termination

Genetic code is not universal. Various nonstandard versions of the code are known for some mitochondrial, prokaryotic, and eukaryotic genomes. The most common deviation is stop codon reassignment; i.e., a stop codon is decoded as a sense codon rather than as a signal for translation termination. Class 1 release factors (RFs: prokaryotic RF1 and RF2 and eukaryotic eRF1) recognize the stop codons and induce hydrolysis of peptidyl-tRNA in the ribosome. The specificity of class 1 RFs changes in organisms with a nonstandard code. The rare amino acids selenocysteine and pyrrolysine utilize essentially different decoding strategies. The review considers several hypotheses of the origin of nonstandard genetic codes. A new hypothesis is advanced, assuming a change in the specificity of class 1 RFs as a starting point for stop codon reassignment.     

CUG Start Codon Generates Thioredoxin/Glutathione Reductase Isoforms in Mouse Testes

Mammalian cytosolic and mitochondrial thioredoxin reductases are essential selenocysteine-containing enzymes that control thioredoxin functions. Thioredoxin/glutathione reductase (TGR) is a third member of this enzyme family. It has an additional glutaredoxin domain and shows highest expression in testes. Herein, we found that human and several other mammalian TGR genes lack any AUG codons that could function in translation initiation. Although mouse and rat TGRs have such codons, we detected protein sequences upstream of them by immunoblot assays and direct proteomic analyses. Further gene engineering and expression analyses demonstrated that a CUG codon, located upstream of the sequences previously thought to initiate translation, is the actual start codon in mouse TGR. The use of this codon relies on the Kozak consensus sequence and ribosome-scanning mechanism. However, CUG serves as an inefficient start codon that allows downstream initiation, thus generating two isoforms of the enzyme in vivo and in vitro. The use of CUG evolved in mammalian TGRs, and in some of these organisms, GUG is used instead. The newly discovered longer TGR form shows cytosolic localization in cultured cells and is expressed in spermatids in mouse testes. This study shows that CUG codon is used as an inefficient start codon to generate protein isoforms in mouse.     

Characterisation of a non-canonical genetic code in the oxymonad Streblomastix strix

The genetic code is one of the most highly conserved characters in living organisms. Only a small number of genomes have evolved slight variations on the code, and these non-canonical codes are instrumental in understanding the selective pressures maintaining the code. Here, we describe a new case of a non-canonical genetic code from the oxymonad flagellate Streblomastix strix. We have sequenced four protein-coding genes from S.strix and found that the canonical stop codons TAA and TAG encode the amino acid glutamine. These codons are retained in S.strix mRNAs, and the legitimate termination codons of all genes examined were found to be TGA, supporting the prediction that this should be the only true stop codon in this genome. Only four other lineages of eukaryotes are known to have evolved non-canonical nuclear genetic codes, and our phylogenetic analyses of alpha-tubulin, beta-tubulin, elongation factor-1 alpha (EF-1 alpha), heat-shock protein 90 (HSP90), and small subunit rRNA all confirm that the variant code in S.strix evolved independently of any other known variant. The independent origin of each of these codes is particularly interesting because the code found in S.strix, where TAA and TAG encode glutamine, has evolved in three of the four other nuclear lineages with variant codes, but this code has never evolved in a prokaryote or a prokaryote-derived organelle. The distribution of non-canonical codes is probably the result of a combination of differences in translation termination, tRNAs, and tRNA synthetases, such that the eukaryotic machinery preferentially allows changes involving TAA and TAG.     

Codon usage in bacteria: correlation with gene expressivity

The nucleic acid sequence bank now contains over 600 protein coding genes of which 107 are from prokaryotic organisms. Codon frequencies in each new prokaryotic gene are given. Analysis of genetic code usage in the 83 sequenced genes of the Escherichia coli genome (chromosome, transposons and plasmids) is presented, taking into account new data on gene expressivity and regulation as well as iso-tRNA specificity and cellular concentration. The codon composition of each gene is summarized using two indexes: one is based on the differential usage of iso-tRNA species during gene translation, the other on choice between Cytosine and Uracil for third base. A strong relationship between codon composition and mRNA expressivity is confirmed, even for genes transcribed in the same operon. The influence of codon use of peptide elongation rate and protein yield is discussed. Finally, the evolutionary aspect of codon selection in mRNA sequences is studied.     

Selenocysteine biosynthesis and mechanism of incorporation into growing proteins

The universal genetic code codes for the 20 canonical amino acids, while selenocysteine (Sec) is encoded by UGA, one of the three well-known stop codons. Selenocysteine is of particular interest of molecular biology, principally differing in the mechanism of incorporation into growing polypeptide chains from the other 20 amino acids. The process involves certain cis- and trans-active factors, such as the Sec insertion sequence (SECIS). The SECIS is in the 3′-untranslated mRNA region in eukaryotes and within the open reading frame located immediately downstream of the Sec UGA codon in bacteria, the difference leading to differences in the mechanism of Sec incorporation between the two domains of life. The trans-active factors include Sec-tRNA^[Ser]Sec, which is synthesized by a unique system; the Sec-specific elongation factor EFsec; and a SECIS-binding protein (SBP2). Thus, many additional molecules are to be synthesized in the cell to allow Sec incorporation during translation. The fact makes Sec-containing proteins rather “expensive” and emphasizes their crucial role in metabolism.     

Comparative analysis of the relationship between translation efficiency and sequence features of endogenous proteins in multiple organisms

The translation efficiency of protein genes is known to be affected by sequence features. Previous studies have found that various sequence features based on codon usage and mRNA secondary structure contribute to translation efficiency. However, most studies have focused on a specific organism, usually a model organism such as Escherichia coli or Saccharomyces cerevisiae. Here, we investigate whether the relationship between translation efficiency and sequence features is conserved among multiple organisms using publicly available ribosome profiling data and RNA-Seq data. We analyze nine organisms from various taxa: Staphylococcus aureus, five species of Streptomyces, two strains of E. coli, and S. cerevisiae. We reveal that the relationship between translation efficiency and sequence features differs across organisms, partly reflecting their taxonomy. The codon adaptation index shows high correlation in all analyzed organisms. Our study provides an insight into the diversity and commonality of sequence determinants of protein expression in these organisms.