Code of codon roots of amino acids and idiotypic networks]

Novel models of idiotype nets of antibodies have been developed to study the code responsible for the amino acid interaction and complex formation of proteins. It is shown that the interaction of protein active centres in idiotype nets can be interpreted and predicted basing on the structure of code of codon roots of amino acids and polarity principle. "Internal images" of the sequence antigen determinants of proteins in immunoglobulin molecules are built mainly from the amino acid groups having common codon roots, which is in agreement with the conception of the structure of the root code.     

Hidden symmetry of peptide and protein primary structures]

The internal symmetry of peptide chains was considered. To identify symmetrically located equivalent amino acids, the signatures method and the code of amino acid codon roots were applied. There was revealed the hidden symmetry of amino acid sequences of peptides and proteins as well as of their active centres. Amino acids having common codon roots in primary (and supposedly in the spatial "biologically active") molecular structures, are located symmetrically. Definition of local symmetry of peptide chains was proposed to use as one of the elements of complex analysis to determine location of molecular active centres.     

A model of intra- and intermolecular interactions of peptide chains]

Results of attempts to determine the code of interaction of amino acids in peptide chains proceeding from their coding nucleotide sequences have been summarized. According to the model suggested the G/C and A/U complementarity of codon roots determines the mutual binding of coded amino acid residues. Structures of analogs of the immunoactive peptide, a fragment of IgG1 (336-370) EPQVY have been constructed on the basis of the model.     

On the antisymmetry of the amino acid code table

Antisymmetry of the amino acid code table in terms of codon degeneracy is pointed out, and it is related to a physico-chemical problem of codon-anticodon interaction energy. A strong negative correlation between molecular weight of an amino acid and its codon degeneracy is pointed out, and its implication to the origin of the amino acid code table is discussed. Finally, an earlier form of the amino acid code table is proposed.     

Protein evolution drives the evolution of the genetic code and vice versa

A model for the developmental pathway of the genetic code, grounded on group theory and the thermodynamics of codon-anticodon interaction is presented. At variance with previous models, it takes into account not only the optimization with respect to amino acid attributes but, also physicochemical constraints and initial conditions. A 'simple-first' rule is introduced after ranking the amino acids with respect to two current measures of chemical complexity. It is shown that a primeval code of only seven amino acids is enough to build functional proteins. It is assumed that these proteins drive the further expansion of the code. The proposed primeval code is compared with surrogate codes randomly generated and with another proposal for primeval code found in the literature. The departures from the 'universal' code, observed in many organisms and cellular compartments, fit naturally in the proposed evolutionary scheme. A strong correlation is found between, on one side, the two classes of aminoacyl-tRNA synthetases, and on the other, the amino acids grouped by end-atom-type and by codon type. An inverse of Davydov's rules, to associate the amino acid end atoms (O/N and non-O/non-N) of 18 amino acids with codons containing a weak base (A/U), extended to the 20 amino acids, is derived.     

Folding of peptide chains during formation of the spatial structure of protein molecules is determined by the code of amino acid codon roots]

Basing on the analysis of a large number of protein sequences (Cserzo M., Simon I., 1989), the structure of the amino acid nearest neighbour pair whose occurrence has a maximal positive deviation from the mean statistical value, is shown to correspond in most cases to the code of the amino acid codon roots. It reveals particularly amino acid pairs in n and n+5 positions of polypeptide chains. Amino acids belonging to A/U family contribute mostly to the folding of peptide chains.     

Relationships between genomic base content and distribution of mass in coded proteins

The aim of this research was to examine the possible significance of genome/protein relationships in terms of effects on distribution of mass, especially in proteins. Amino acid residues in proteins have side-chains and polypeptide segments. We use "SCM" (side-chain mass), "MCM" (main-chain mass), and "deltaM" (SCM-MCM) as the deviation from "mass balance." Total MCM of the 61 amino acids in the standard code, 3412, equals total SCM: they form a mass balanced set (mean deltaM = 0). Of 14 natural variants of the code, seven have slightly positive mean deltaM values and seven have slightly negative values. Codes with the standard amino acids assigned randomly to the 20 codon sets of the standard code have about one chance in 3,300 of producing a mass balanced set. In natural proteins, as %A + T increases, the proportion of the mass in the side-chains also increases, by about half the amount calculated for standard genes with various AT/GC ratios, partly due to selection of codons with greater variability in composition at synonymous sites. For 203 representative species (including organelles), the total protein mass is distributed approximately equally between SCM and MCM (overall mean deltaM/amino acid residue, -0.06). The attainment of some overall macromolecular mass balance may have been a criterion for selecting the codon/amino acid pairs. When both structural and dynamic requirements are considered, a genetic code based on hydrophobicity and mass balance as key properties seems likely.     

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.     

Consequences of stop codon reassignment on protein evolution in ciliates with alternative genetic codes

Tetrahymena thermophila and Paramecium tetraurelia are ciliates that reassign TAA and TAG from stop codons to glutamine codons. Because of the lack of full genome sequences, few studies have concentrated on analyzing the effects of codon reassignment in protein evolution. We used the recently sequenced genome of these species to analyze the patterns of amino acid substitution in ciliates that reassign the code. We show that, as expected, the codon reassignment has a large impact on amino acid substitutions in closely related proteins; however, contrary to expectations, these effects also hold for very diverged proteins. Previous studies have used amino acid substitution data to calculate the minimization of the genetic code; our results show that because of the lasting influence of the code in the patterns of substitution, such studies are tautological. These different substitution patterns might affect alignment of ciliate proteins, as alignment programs use scoring matrices based on substitution patterns of organisms that use the standard code. We also show that glutamine is used more frequently in ciliates than in other species, as often as expected based on the presence of the 2 new reassigned codons, indicating that the frequencies of amino acids in proteomes is mostly determined by neutral processes based on their number of codons.     

Mitochondrial Genetic Codes Evolve to Match Amino Acid Requirements of Proteins

Mitochondria often use genetic codes different from the standard genetic code. Now that many mitochondrial genomes have been sequenced, these variant codes provide the first opportunity to examine empirically the processes that produce new genetic codes. The key question is: Are codon reassignments the sole result of mutation and genetic drift? Or are they the result of natural selection? Here we present an analysis of 24 phylogenetically independent codon reassignments in mitochondria. Although the mutation-drift hypothesis can explain reassignments from stop to an amino acid, we found that it cannot explain reassignments from one amino acid to another. In particular—and contrary to the predictions of the mutation-drift hypothesis—the codon involved in such a reassignment was not rare in the ancestral genome. Instead, such reassignments appear to take place while the codon is in use at an appreciable frequency. Moreover, the comparison of inferred amino acid usage in the ancestral genome with the neutral expectation shows that the amino acid gaining the codon was selectively favored over the amino acid losing the codon. These results are consistent with a simple model of weak selection on the amino acid composition of proteins in which codon reassignments are selected because they compensate for multiple slightly deleterious mutations throughout the mitochondrial genome. We propose that the selection pressure is for reduced protein synthesis cost: most reassignments give amino acids that are less expensive to synthesize. Taken together, our results strongly suggest that mitochondrial genetic codes evolve to match the amino acid requirements of proteins.     

Quantitative study of cytotoxic T-lymphocyte immunotherapy for nasopharyngeal carcinoma

We suggest that tRNA actively participates in the transfer of 3D information from mRNA to peptides - in addition to its well-known, "classical" role of translating the 3-letter RNA codes into the one letter protein code. The tRNA molecule displays a series of thermodynamically favored configurations during translation, a movement which places the codon and coded amino acids in proximity to each other and make physical contact between some amino acids and their codons possible. This specific codon-amino acid interaction of some selected amino acids is necessary for the transfer of spatial information from mRNA to coded proteins, and is known as RNA-assisted protein folding.     

Codon swapping as a possible evolutionary mechanism

Summary It is apparent in the genetic code that amino acids of similar chemical nature have similar codons. I show how through successive codon captures (multiple rounds of Osawa-Jukes type reassignments), complete codon swappings in an unfavorable genetic code are evolutionarily feasible. This mechanisms could have complemented the ambiguity reduction and the vocabulary extension processes of codon-amino acid assignments. Evolution of wobble rules is implied. Transfer RNA molecules and synthetases may still carry memories of it.     

Development of the genetic code: Insights from a fungal codon reassignment

The high conservation of the genetic code and its fundamental role in genome decoding suggest that its evolution is highly restricted or even frozen. However, various prokaryotic and eukaryotic genetic code alterations, several alternative tRNA-dependent amino acid biosynthesis pathways, regulation of tRNA decoding by diverse nucleoside modifications and recent in vivo incorporation of non-natural amino acids into prokaryotic and eukaryotic proteins, show that the code evolves and is surprisingly flexible. The cellular mechanisms and the proteome buffering capacity that support such evolutionary processes remain unclear. Here we explore the hypothesis that codon misreading and reassignment played fundamental roles in the development of the genetic code and we show how a fungal codon reassignment is enlightening its evolution.     

On the organizational dynamics of the genetic code

The organization of the canonical genetic code needs to be thoroughly illuminated. Here we reorder the four nucleotides-adenine, thymine, guanine and cytosine-according to their emergence in evolution, and apply the organizational rules to devising an algebraic representation for the canonical genetic code. Under a framework of the devised code, we quantify codon and amino acid usages from a large collection of 917 prokaryotic genome sequences, and associate the usages with its intrinsic structure and classification schemes as well as amino acid physicochemical properties. Our results show that the algebraic representation of the code is structurally equivalent to a content-centric organization of the code and that codon and amino acid usages under different classification schemes were correlated closely with GC content, implying a set of rules governing composition dynamics across a wide variety of prokaryotic genome sequences. These results also indicate that codons and amino acids are not randomly allocated in the code, where the six-fold degenerate codons and their amino acids have important balancing roles for error minimization. Therefore, the content-centric code is of great usefulness in deciphering its hitherto unknown regularities as well as the dynamics of nucleotide, codon, and amino acid compositions.     

Four-base codon/anticodon strategy and non-enzymatic aminoacylation for protein engineering with non-natural amino acids

Techniques for position-specific incorporation of non-natural amino acids in an in vitro protein synthesizing system are described. First, a PNA-assisted non-enzymatic tRNA aminoacylation with a variety of natural and non-natural amino acids is described. With this technique, one can aminoacylate a specific tRNA simply by adding a preformed amino acid activated ester-PNA conjugate into an in vitro protein biosynthesizing system. Second, the genetic code is expanded by introducing 4-base codons that can be exclusively translated to non-natural amino acids. The most advantageous point of the 4-base codon strategy is to introduce multiple amino acids into specific positions in single proteins by using mutually orthogonal 4-base codons and orthogonal tRNAs. An easy and quick method for preparation of tRNAs possessing 4-base anticodons is also described. Combination of the non-enzymatic aminoacylation and the 4-base codon/anticodon strategy gives an easy and widely applicable technique for incorporating a variety of non-natural amino acids into proteins in vitro.     

The amino acid composition of proteins: a method of analysis.

Four quasiloglinear models are proposed for describing relationships between the amino acid composition of proteins and the structure of the genetic code. The models allow estimation of base frequencies in all three codon positions and can be used to investigate “interactions” between any two codon positions. The estimation procedure proposed by Ohta and Kimura (Genetics64 (1970), 387–395) is discussed and using two of the proposed quasiloglinear models an analysis of the amino acid composition of human cytochrome c is presented. The analysis suggests that of the six codons which code for leucine (CUU, CUC, CUA and CUG) do not occur in human cytochrome c.     

In vitro selection for sense codon suppression

The universal genetic code links the 20 naturally occurring amino acids to the 61 sense codons. Previously, the UAG amber stop codon (a nonsense codon) has been used as a blank in the code to insert natural and unnatural amino acids via nonsense suppression. We have developed a selection methodology to investigate whether the unnatural amino acid biocytin could be incorporated into an mRNA display library at sense codons. In these experiments we probed a single randomized NNN codon with a library of 16 orthogonal, biocytin-acylated tRNAs. In vitro selection for efficient incorporation of the unnatural amino acid resulted in templates containing the GUA codon at the randomized position. This sense suppression occurs via Watson-Crick pairing with similar efficiency to UAG-mediated nonsense suppression. These experiments suggest that sense codon suppression is a viable means to expand the chemical and functional diversity of the genetic code.     

Regrouping of peptide chains in molecules and molecular complexes: recognition and spatial conjugation codes of amino acids

A two-step model for reactions between peptide and protein molecules in aqueous medium is considered. The first stage of the reaction involves specific recognition and primary complex formation. This process is governed by the amino acid interaction code a-a as a part of genetic code (algorithm a-n-n-a, amino acid-codon-anticodon-anti-amino acid). According to the a-a code, the primary complex formation is determined by amino acid pairs of opposite polarity. During the second stage of the reaction, when the contacting ligand and receptor surfaces undergo dehydration, the primary complex becomes rearranged. The new structure is mainly determined by pairwise contacts of amino acids having similar polarity and belonging to the same amino acid family.     

Evolutionary patterns in the sequence and structure of transfer RNA: a window into early translation and the genetic code

Transfer RNA (tRNA) molecules play vital roles during protein synthesis. Their acceptor arms are aminoacylated with specific amino acid residues while their anticodons delimit codon specificity. The history of these two functions has been generally linked in evolutionary studies of the genetic code. However, these functions could have been differentially recruited as evolutionary signatures were left embedded in tRNA molecules. Here we built phylogenies derived from the sequence and structure of tRNA, we forced taxa into monophyletic groups using constraint analyses, tested competing evolutionary hypotheses, and generated timelines of amino acid charging and codon discovery. Charging of Sec, Tyr, Ser and Leu appeared ancient, while specificities related to Asn, Met, and Arg were derived. The timelines also uncovered an early role of the second and then first codon bases, identified codons for Ala and Pro as the most ancient, and revealed important evolutionary take-overs related to the loss of the long variable arm in tRNA. The lack of correlation between ancestries of amino acid charging and encoding indicated that the separate discoveries of these functions reflected independent histories of recruitment. These histories were probably curbed by co-options and important take-overs during early diversification of the living world.