Unambiguous correspondence and complementarity of the chemical properties of amino acids and anticodons of the genetic code

The chemical language of genetic code is proposed. As a result of chemical language application for the analysis of the modern genetic code, the existence of an unambiguous correspondence between the chemical properties of amino acids and their coding triplets (codons and anticodons) is shown. This confirms the hypothesis of the code chemical determination. The complementarity between the chemical properties of amino acids and their anticodons (but not the codons) has been found also to exist. This observation supports the hypothesis of the genetic code determination by the direct recognition and also underlines the primary role of anticodon in the origin of genetic code in comparison with codons.     

Stability of the genetic code and optimal parameters of amino acids

The standard genetic code is known to be much more efficient in minimizing adverse effects of misreading errors and one-point mutations in comparison with a random code having the same structure, i.e. the same number of codons coding for each particular amino acid. We study the inverse problem, how the code structure affects the optimal physico-chemical parameters of amino acids ensuring the highest stability of the genetic code. It is shown that the choice of two or more amino acids with given properties determines unambiguously all the others. In this sense the code structure determines strictly the optimal parameters of amino acids or the corresponding scales may be derived directly from the genetic code. In the code with the structure of the standard genetic code the resulting values for hydrophobicity obtained in the scheme “leave one out” and in the scheme with fixed maximum and minimum parameters correlate significantly with the natural scale. The comparison of the optimal and natural parameters allows assessing relative impact of physico-chemical and error-minimization factors during evolution of the genetic code. As the resulting optimal scale depends on the choice of amino acids with given parameters, the technique can also be applied to testing various scenarios of the code evolution with increasing number of codified amino acids. Our results indicate the co-evolution of the genetic code and physico-chemical properties of recruited amino acids.     

The distribution of amino acids in the genetic code

By introducing a mutational deterioration functionMD and a principle of approximate minimum of the function, we have deduced the distribution of amino acids in genetic code, which includes the degenracy rule of codons, the global extreme of genetic code from codon interactions and the hydrophobicity domain of the prevalent (standard) code.The project supported by National Science Foundation of China.     

Structure of the genetic code suggested by the hydropathy correlation between anticodons and amino acid residues

The correlation between hydropathies of anticodons and amino acids, detected by other authors utilizing scales of amino acid molecules in solution, was improved with the utilization of scales of amino acid residues in proteins. Three partitions were discerned in the correlation plot with the principal dinucleotides of anticodons (pDiN, excluding the wobble position). (a) The set of outliers of the correlation: Gly-CC, Pro-GG, Ser-GA and Ser-CU. The amino acids are consistently small, hydro-apathetic, stabilizers of protein N-ends, preferred in aperiodic protein conformations and belong to synthetases class II. The pDiN sequences are representative of the homogeneous sector (triplets NRR and NYY), distinguished from the mixed sector (triplets NRY and NYR), that depict a 70% correspondence to the synthetases class II and I, respectively. The triplet pairs proposed to be responsible for the coherence in the set of outliers are of the palindromic kind, where the lateral bases are the same, CCC: GGG and AGA: UCU. This suggests that UCU previously belonged to Ser, adding to other indications that the attribution of Arg to YCU was due to an expansion of the Arg-tRNA synthetase specificity. The other attributions produced two correlation sets. (b) One corresponds to the remaining pDiN of the homogeneous sector, containing both synthetase classes; its regression line overlapped the one formed by the remaining attributions to class II. (c) The other contains the pDiN of the mixed sector and produced steeper slopes, especially with the class I attributions. It is suggested that the correlation was established when the amino acid composition of the protein synthetases became progressively enriched and that the set of outliers were the earliest to have been fixed.     

Hydropathic anti-complementarity of amino acids based on the genetic code

An interesting pattern in the genetic code has been discovered. Codons for hydrophilic and hydrophobic amino acids on one strand of DNA are complemented by codons for hydrophobic and hydrophilic amino acids on the other DNA strand, respectively. The average tendency of codons for "uncharged" (slightly hydrophilic) amino acids is to be complemented by codons for "uncharged" amino acids.     

The evolution of aminoacyl-tRNA synthetases,the biosynthetic pathways of amino acids and the genetic code

In this paper the partition metric is used to compare binary trees deriving from (i) the study of the evolutionary relationships between aminoacyl-tRNA synthetases, (ii) the physicochemical properties of amino acids and (iii) the biosynthetic relationships between amino acids. If the tree defining the evolutionary relationships between aminoacyl-tRNA synthetases is assumed to be a manifestation of the mechanism that originated the organization of the genetic code, then the results appear to indicate the following: the hypothesis that regards the genetic code as a map of the biosynthetic relationships between amino acids seems to explain the organization of the genetic code, at least as plausibly as the hypotheses that consider the physicochemical properties of amino acids as the main adaptive theme that lead to the structuring of the code.     

The origin of the genetic code: amino acids as cofactors in an RNA world.

The genetic code, understood as the specific assignment of amino acids to nucleotide triplets, might have preceded the existence of translation. Amino acids became utilized as cofactors by ribozymes in a metabolically complex RNA world. Specific charging ribozymes linked amino acids to corresponding RNA handles, which could basepair with different ribozymes, via an anticodon hairpin, and so deliver the cofactor to the ribozyme. Growing of the 'handle' into a presumptive tRNA was possible while function was retained and modified throughout. A stereochemical relation between some amino acids and cognate anticodons/codons is likely to have been important in the earliest assignments. Recent experimental findings, including selection for ribozymes catalyzing peptide-bond formation and those utilizing an amino acid cofactor, hold promise that scenarios of this major transition can be tested.     

Conformational relationships between amino acids and their anticodons in the primitive decoding system

Detailed calculations of the conformational characteristics of a primitive decoding system are presented. A penta-nucleotide serves as the primitive tRNA (PIT) with a triplet of primitive anticodon (PAC) in a helical conformation. This molecular moiety has a cleft in the middle. An amino acid can comfortably nestle into the cleft. The conformation of this molecular association is stabilised by a few hydrogen bonds. The stereochemistry of the moiety restricts the conformational possibilities and the sidechain of the amino acid gets oriented at a proper position and in the correct direction to interact intimately with the PAC in the middle of the PIT. The model favours L-amino acids for beta-D-ribonucleotides. The location of the sidechain of the amino acid in the PIT gives a raison d'être for the important features of the organisation of nucleotide triplets for amino acids in the Genetic Code. The interaction of a few key amino acids with the different combinations of bases as PAC sequences has been studied and the stereochemical basis for the selection of the anticodons for amino acids is elucidated.     

Simplification of the genetic code: restricted diversity of genetically encoded amino acids

At earlier stages in the evolution of the universal genetic code, fewer than 20 amino acids were considered to be used. Although this notion is supported by a wide range of data, the actual existence and function of the genetic codes with a limited set of canonical amino acids have not been addressed experimentally, in contrast to the successful development of the expanded codes. Here, we constructed artificial genetic codes involving a reduced alphabet. In one of the codes, a tRNA^Ala variant with the Trp anticodon reassigns alanine to an unassigned UGG codon in the Escherichia coli S30 cell-free translation system lacking tryptophan. We confirmed that the efficiency and accuracy of protein synthesis by this Trp-lacking code were comparable to those by the universal genetic code, by an amino acid composition analysis, green fluorescent protein fluorescence measurements and the crystal structure determination. We also showed that another code, in which UGU/UGC codons are assigned to Ser, synthesizes an active enzyme. This method will provide not only new insights into primordial genetic codes, but also an essential protein engineering tool for the assessment of the early stages of protein evolution and for the improvement of pharmaceuticals.     

A multivariate study of the relationship between the genetic code and the physical-chemical properties of amino acids

Summary The 20 naturally occurring amino acids are characterized by 20 variables: pK_{NH 2}, pK_COOH, pI, molecular weight, substituent van der Waals volume, seven¹H and¹³C nuclear magnetic resonance shift variables, and eight hydrophobicity-hydrophilicity scales. The 20-dimensional data set is reduced to a few new dimensions by principal components analysis. The three first principal components reveal relationships between the properties of the amino acids and the genetic code. Thus the amino acids coded for by adenosine (A), uracil (U), or cytosine (C) in their second codon position (corresponding to U, A, or G in the second anticodon position) are grouped in these components. No grouping was detected for the amino acids coded for by guanine (G) in the second codon position (corresponding to C in the second anticodon position). The results show that a relationship exists between the physical-chemical properties of the amino acids and which of the A (U), U (A), or C (G) nucleotide is used in the second codon (anticodon) position. The amino acids coded for by G (C) in the second codon (anticodon) position do not participate in this relationship.     

Incorporation of two nonnatural amino acids into proteins through extension of the genetic code.

A novel method of the in vitro incorporation of two nonnatural amino acids into proteins through extension of the genetic code was developed. The streptavidin mRNA containing AGGU and CGGG, and chemically aminoacylated tRNA(ACCU) and tRNA(CCCG) were prepared, then they were added into E. coli in vitro protein synthesizing system. As a result, two nonnatural amino acids were successfully incorporated into desired sites of streptavidin.     

Not an inside job: non‐coded amino acids compromise the genetic code

The sophistication of the editing mechanisms that prevent gene translation errors indicates that amino acid misincorporation is generally a problem to be avoided. Mistranslation is considered invariably deleterious and often caused by confusion between similar proteogenic amino acids. These views are being challenged. The evidence linking misincorporation of dietary non‐proteogenic amino acids to human disease continues to grow, and a report in this issue of The EMBO Journal demonstrates the importance of preventing non‐proteogenic amino acid misincorporation for cellular homeostasis (Cvetesic et al, 2014 ).     

Site-specific incorporation of non-natural amino acids into proteins in mammalian cells with an expanded genetic code

We describe a detailed protocol for incorporating non-natural amino acids, 3-iodo-L-tyrosine (IY) and p-benzoyl-L-phenylalanine (pBpa), into proteins in response to the amber codon (the UAG stop codon) in mammalian cells. These amino acids, IY and pBpa, are applicable for structure determination and the analysis of a network of protein-protein interactions, respectively. This method involves (i) the mutagenesis of the gene encoding the protein of interest to create an amber codon at the desired site, (ii) the expression in mammalian cells of the bacterial pair of an amber suppressor tRNA and an aminoacyl-tRNA synthetase specific to IY or pBpa and (iii) the supplementation of the growth medium with these amino acids. The amber mutant gene, together with these bacterial tRNA and synthetase genes, is introduced into mammalian cells. Culturing these cells for 16-40 h allows the expression of the full-length product from the mutant gene, which contains the non-natural amino acid at the introduced amber position. This method is implemented using the conventional tools for molecular biology and treating cultured mammalian cells. This protocol takes 5-6 d for plasmid construction and 3-4 d for incorporating the non-natural amino acids into proteins.     

Evolution of amino acid frequencies in proteins over deep time: inferred order of introduction of amino acids into the genetic code

To understand more fully how amino acid composition of proteins has changed over the course of evolution, a method has been developed for estimating the composition of proteins in an ancestral genome. Estimates are based upon the composition of conserved residues in descendant sequences and empirical knowledge of the relative probability of conservation of various amino acids. Simulations are used to model and correct for errors in the estimates. The method was used to infer the amino acid composition of a large protein set in the Last Universal Ancestor (LUA) of all extant species. Relative to the modern protein set, LUA proteins were found to be generally richer in those amino acids that are believed to have been most abundant in the prebiotic environment and poorer in those amino acids that are believed to have been unavailable or scarce. It is proposed that the inferred amino acid composition of proteins in the LUA probably reflects historical events in the establishment of the genetic code.     

Logic of the genetic code: Conservation of long-range interactions among amino acids as a prime factor

Any statement on the optimality of the existing code ought to imply that this code is ideal for conserving a certain hierarchy of properties while implying that other codes may have been better suited for conservation of other hierarchies of properties. We have evaluated the capability of mutations in the genetic code to convert one amino acid into another in relation to the consequent changes in physical properties of those amino acids. A rather surprising result emerging from this analysis is that the genetic code conserves long-range interactions among amino acids and not their short-range stereochemical attributes. This observation, based directly on the genetic code itself and the physical properties of the 20 amino acids, lends credibility to the idea that the genetic code has not originated by a frozen accident (the null hypothesis rejected by these studies) nor are stereochemical attributes particularly useful in our understanding of what makes the genetic code ‘tick’. While the argument that replacement of, say, an aspartate by a glutamate is less damaging than replacement by arginine makes sense, in order to subject such statements to rigorous statistical tests it is essential to define what constitutes a random sample for the genetic code. The present investigation describes one possible specification. In addition to obvious statistical considerations of testing hypotheses, this procedure points to the more exciting notion that alternative codes may have existed.     

Use of Chou-Fasman amino acid conformational parameters to analyze the organization of the genetic code and to construct protein genealogies

Summary Chou-Fasman parameters, measuring preferences of each amino acid for different conformational regions in proteins, were used to obtain an amino acid difference index of conformational parameter distance (CPD) values. CPD values were found to be significantly lower for amino acid exchanges representing in the genetic code transitions of purines, GA than for exchanges representing either transitions of pyrimidines, CU, or transversions of purines and pyrimidines. Inasmuch as the distribution of CPD values in these non GA exchanges resembles that obtained for amino acid pairs with double or triple base differences in their underlying codons, we conclude that the genetic code was not particularly designed to minimize effects of mutation on protein conformation. That natural selection minimizes these changes, however, was shown by tabulating results obtained by the maximum parsimony method for eight protein genealogies with a total occurrence of 4574 base substitutions. At the beginning position of the codons GA transitions were in very great excess over other base substitutions, and, conversely, CU transitions were deficient. At the middle position of the codons only fast evolving proteins showed an excess of GA transitions, as though selection mainly preserved conformation in these proteins while weeding out mutations affecting chemical properties of functional sites in slow evolving proteins. In both fast and slow evolving proteins the net direction of transitions and transversions was found to be from G beginning codons to non-G beginning codons resulting in more commonly occurring amino acids, especially alanine with its generalized conformational properties, being replaced at suitable sites by amino acids with more specialized conformational and chemical properties. Historical circumstances pertaining to the origin of the genetic code and the nature of primordial proteins could account for such directional changes leading to increases in the functional density of proteins.In order to further explore the course of protein evolution, a modified parsimony algorithm was developed for constructing protein genealogies on the basis of minimum CPD length. The algorithm's ability to judge with finer discrimination that in protein evolution certain pathways of amino acid substitution should occur more readily than others was considered a potential advantage over strict maximum parsimony. In developing this CPD algorithm, the path of minimum CPD length through intermediate amino acids allowed by the genetic code for each pair of amino acids was determined. It was found that amino acid exchanges representing two base changes have a considerably lower average CPD value per base substitution than the amino acid exchanges representing single base changes. Amino acid exchanges representing three base changes have yet a further marked reduction in CPD per base change. This shows how extreme constraining effects of stabilizing selection can be circumvented, for by way of intermediate amino acids almost any amino acid can ultimately be substituted for another without damage to an evolving protein's conformation during the process.