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PubMed2001

A blind empiricism against the coevolution theory of the origin of the genetic code.

Ronneberg et al. (Proc Natl Acad Sci USA 97:13690-13695, 2000) recently suggested abandoning the coevolution theory of genetic code origin on the basis of two pieces of evidence. They (1) criticize the use of several pairs of amino acids in a precursor-product relationship to support this theory and (2) suggest a new set of codes in which to investigate the statistical bases of the coevolution theory, reaching the conclusion that this theory is not statistically validated in this set. In this paper I critically analyze the robustness of these conclusions. Observations and arguments lead to the belief that the pairs of amino acids in a precursor-product relationship originally used by the coevolution theory are such, or may at least be interpreted as such, and are therefore a manifestation of this theory. Furthermore, the new set of codes that Ronneberg et al. suggest is open to criticism and is thus substituted by the set of amino acid permutation codes, in which even the pairs of amino acids they favor end up by supporting the coevolution theory. Overall, the analysis seems to show that the paper by Ronneberg et al. is of minor scientific value while the coevolution theory seems to be one of the best theories at our disposal for explaining the evolutionary organisation of the genetic code and is, contrary to their claims, statistically well validated.

Base Pairing↗

PubMed2000

From amino acid landscape to protein landscape: analysis of genetic codes in terms of fitness landscape.

Assigning the values of a certain physicochemical property for individual amino acids to the corresponding codons, we can make an amino acid property "landscape" on a four valued three dimensional sequence space from a genetic code table. Eleven property landscapes made from the standard genetic code (SGC) were analyzed. The evaluation of correlation for each landscape is done by theta value, which represents the ratio of the mean slope (as an additive term) to the degree of roughness (as a nonadditive term). The theta-values for hydropathy indices, polarity, specific heat, and beta-sheet propensity were considerably large with respect to SGC. This implies that the additivity of the contribution from each letter holds for these properties. To clarify the meaning of the so-called mutational robustness of SGC, we next examined correlations between the amino acid property and the actual "site fitnesses" of a protein. The site fitnesses were derived from a set of binding preference scores of amino acid residues at every site in MHC class I molecule binding peptides (Udaka et al. in press). We found that the SGC's theta value for an amino acid property is correlated with the significance of the property in the protein function. Adaptive walk simulation on fitness (= affinity) landscapes in a base sequence space for these model peptides confirmed better evolvability due to the introduction of SGC.

Amino Acids↗

PubMed1986

Comparative rates of esterification of 5'-AMP with hydrophobic amino acids: relevance to the genetic-code assignments.

We have continued our program aimed at understanding the origin and evolution of the genetic code and the process of protein synthesis by comparing the rates of esterification of 5'-AMP by a series of hydrophobic N-acetylamino acids. The reaction clearly shows differences in reaction rate (AcPhe greater than AcLeu greater than AcVal greater than AcIle) among the amino acids having A as middle letter of their anticodons. However, there were no significant differences in reaction rate between AcLeu, AcNorleu, and Ac-alpha-aminobutyric acid, and AcGly reacted faster than all of these and AcPhe. Consequently, this simple reaction with AMP can distinguish only among those amino acids that actually have A as the middle anticodonic nucleotide. The relevance of these studies to the origins of the process of protein synthesis and of the genetic code is discussed in conjunction with results from other studies of a similar nature.

Acetylation↗

PubMed2001

Aminoacyl-tRNA synthetases: potential markers of genetic code development.

Aminoacylation of tRNAs, catalyzed by 20 aminoacyl-tRNA synthetases, is responsible for establishing the genetic code. The enzymes are divided into two classes on the basis of the architectures of their active sites. Members of the two classes also differ in that they bind opposite sides of the tRNA acceptor stem. Importantly, specific pairs of synthetases--one from each class--can be docked simultaneously onto the acceptor stem. This article relates these specific pairings to the organization of the table of codons that defines the universal genetic code.

Amino Acyl-tRNA Synthetases↗

PubMed1984

Genetic code and optimal resistance to the effects of mutations.

This paper deals with the notion of resistance of the genetic code to the effects of mutations. We measure the resistance of a group of t codons as the number of pairs of those which differ from each other in only one of their three bases. We find for each value of t the maximum possible value of the resistance and we describe some groups of codons giving this value. Important examples of such configurations are found in the genetic code, among these are the groups of synonymous codons, as observed elsewhere, and the cluster of codons which have an hydrophobic amino acid for translation.

Base Sequence↗

PubMed1975

Amino acid composition of proteins: Selection against the genetic code.

Distribution of amino acids in 68 representative proteins is compared with their distribution among 61 codons of the genetic code. Average amounts of lysine, aspartic acid, glutamic acid, and alanine are above the levels anticipated from the genetic code, and arginine, serine, leucine, cysteine, proline, and histidine are below such levels. Arginine plus lysine account for 11.0 percent of codons and aspartic acid plus glutamic acid account for 11.3 percent; thus the average charge is roughly neutral.

Amino Acid Sequence↗

PubMed1994

On the origin of the genetic code.

A series of stages in the evolution of the genetic code is postulated, representing a chain of logical steps that leads to the present-day code. The stages described are based on translation machinery between the RNA world and that of amino acids, a model that consists of an RNA assembler strand along which RNA hairpin molecules are lined up, forming a picket-fence-like aggregate. Each hairpin carries an amino acid at the bottom of one of its legs, and the mutual proximity of amino acids achieved in this way facilitates their linkage into oligopeptides, in a sequence governed by the nucleotide sequence along the assembler strand, the code. The order in which amino acids are introduced into the code is in the approximate order of their availability, tempered by polarity and structural considerations.

Amino Acid Sequence↗

PubMed1978

Aminoacyl-tRNA synthetase families and their significance to the origin of the genetic code.

A correlation of various aspects of the protein structures and substrate and mechanistic specificities of the aminoacyl-tRNA synthetases has led to the identification of at least one family of enzymes probably derived from a common ancestral synthetase. While strong correlations exist only in one part of the array of 64 codons comprising the Genetic Code, this itself may be interpreted as a meaningful pattern, most consistent with a development of the present code from earlier codes containing fewer amino acids and fewer available codons. Specifically, strong correlations in the enzymes whose cognate tRNAs respond to codons containing a central pyrimidine, including the enzyme family of Ile-, Phe-, Val-, Met-, and Leu-tRNA synthetases, suggests that these enzymes evolved last, and that, therefore, an earlier version of the Genetic Code was comprised solely of codons containing a central purine. It is suggested that further study of the historical interrelationships of these enzymes could lead to a fairly detailed picture of how the Genetic Code developed.

Amino Acyl-tRNA Synthetases↗

PubMed1999

Relationships among isoacceptor tRNAs seems to support the coevolution theory of the origin of the genetic code.

A new method for looking at relationships between nucleotide sequences has been used to analyze divergence both within and between the families of isoaccepting tRNA sets. A dendrogram of the relationships between 21 tRNA sets with different amino acid specificities is presented as the result of the analysis. Methionine initiator tRNAs are included as a separate set. The dendrogram has been interpreted with respect to the final stage of the evolutionary pathway with the development of highly specific tRNAs from ambiguous molecular adaptors. The location of the sets on the dendrogram was therefore analyzed in relation to hypotheses on the origin of the genetic code: the coevolution theory, the physicochemical hypothesis, and the hypothesis of ambiguity reduction of the genetic code. Pairs of 16 sets of isoacceptor tRNAs, whose amino acids are in biosynthetic relationships, occupied contiguous positions on the dendrogram, thus supporting the coevolution theory of the genetic code.

Codon↗

PubMed1997

Genetic code synonym quotas and amino acid complexity: cutting the cost of proteins?

The synonym quotas within the genetic code for the 20 common amino acids are examined in relation to the ways in which these amino acids can be marshalled into different sets on the basis of shared physico-chemical properties. This reveals which shared properties are encouraged or discouraged during the course of protein evolution by the arrangement of the code. A dominant theme is that the synonym quotas are allocated in favour of small and chemically uncomplicated residues, and to the disadvantage of large and chemically prominent ones. From amongst the various measurements that can be considered to quantitatively express aspects of amino acid residue "size and complexity" (e.g. side chain volume, bulkness and formula weight), formula weight has the highest correlation with the synonym quota for each amino acid. However, the correlation is weak. A specially derived "size/complexity" scale for the amino acids based on their relative atomic composition improved the correlation only marginally. The existence of another weak correlation between the synonym quotas and the general amino acid composition of proteins prompted an investigation of the correlations between this composition and the previously considered amino acid properties. Again, the highest correlations are with amino acid formula weight and "size/complexity", but in this instance the correlations are high enough to be truly significant. It is suggested that the biased synonym quotas in the genetic code are intended to ensure that proteins as a whole maintain a certain amino acid composition, even to the extent that the quotas include compensatory biases to counter opposing influences upon this composition caused by the processes of natural selection for protein function. It is the need for these compensatory biases that prevents a simple correlation between the quotas and measures of amino acid complexity. The final outcome, in which amino acids are deployed in functional proteins in approximate proportion to their chemical complexity may serve both as a means of minimising the negative consequences of random genetic mutation (by reducing the chance appearance of the more "disruptive" types of side chain in proteins) and as a means of ensuring the most economic use of biosynthetic resources. According to this reasoning, the code is not a "frozen accident"; it is universally appropriate because it provides the best compromise that can be achieved between biosynthetic cost and biological return in respect of the rate of protein evolution.

Amino Acids↗

PubMed1997

Use of a deviant mitochondrial genetic code in yellow-green algae as a landmark for segregating members within the phylum.

Several algae that were previously classified in the phylum Xanthophyta (yellow-green algae) were assigned in 1971 to a new phylum, Eustigmatophyta. It was anticipated that the number of algae reclassified to Eustigmatophyta would increase. However, due to the fact that the morphological characteristics that segregate eustigmatophytes from other closely related algae can be only obtained through laborious electron microscopic techniques, the number of members in this phylum have increased rather slowly. We attempted, therefore, to segregate two closely related groups of algae, eustigmatophytes and yellow-green algae, on the basis of a molecular phylogenetic tree as a means of providing an alternative method of distinguishing these phyla. We analyzed the mitochondrial cytochrome oxidase subunit I (COXI) gene sequences of eight algae classified as xanthophyceans and found that six manifested the expected deviant genetic code where AUA codes for methionine (AUA/Met), but not for isoleucine (AUA/Ile) as in the universal genetic code. The other two, Monodus sp. (CCMP 505) and Ophiocytium majus (CCAP 855/1), which were presumed to be yellow-green algae, and all the examined eustigmatophytes utilized AUA for Ile. In addition, the phylogenetic tree of COXI gene sequences showed that the six yellow-green algae bearing the AUA/Met deviant code composed a tight clade with a bootstrap value of 100%. The phylogenetic tree of the corresponding sequences from Monodus sp. and Ophiocytium majus and the eustigmatophytes also composed a tight cluster, but with a bootstrap value of 92%. These results strongly suggest that two previously classified members of yellow-green algae belong to the phylum Eustigmatophyta. Therefore, examination of the mitochondrial genetic code in algae appears to be a potentially very useful genetic marker for classifying these organisms, especially when it is considered with the results obtained through a molecular phylogenetic tree.

DNA, Mitochondrial↗

PubMed1999

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.

Amino Acids↗

PubMed1995

Genetic code deviations in the ciliates: evidence for multiple and independent events.

In several species of ciliates, the universal stop codons UAA and UAG are translated into glutamine, while in the euplotids, the glutamine codon usage is normal, but UGA appears to be translated as cysteine. Because the emerging position of this monophyletic group in the eukaryotic lineage is relatively late, this deviant genetic code represents a derived state of the universal code. The question is therefore raised as to how these changes arose within the evolutionary pathways of the phylum. Here, we have investigated the presence of stop codons in alpha tubulin and/or phosphoglycerate kinase gene coding sequences from diverse species of ciliates scattered over the phylogenetic tree constructed from 28S rRNA sequences. In our data set, when deviations occur they correspond to in frame UAA and UAG coding for glutamine. By combining these new data with those previously reported, we show that (i) utilization of UAA and UAG codons occurs to different extents between, but also within, the different classes of ciliates and (ii) the resulting phylogenetic pattern of deviations from the universal code cannot be accounted for by a scenario involving a single transition to the unusual code. Thus, contrary to expectations, deviations from the universal genetic code have arisen independently several times within the phylum.

Animals↗

PubMed1992

Compliance of genetic code with base-composition deflecting pressure.

Gene DNAs of different organisms show a wide variation in their G+C content as much as 20% to 80%. This variation has been regarded as the result of the compliance of the genetic code with the base-composition-deflecting mutational pressure. To make possible a quantitative discussion of this genetic code's elasticity, we made a statistical study of the G+C frequency at the 1st, 2nd, and 3rd positions of codons: 4.5 x 10(6) codons in 11,981 protein coding regions in the DNA data base were analyzed. The data were examined quantitatively by using a species-independent universal equation which describes the base frequencies at the three codon sites in terms of the constraint parameters characteristic of the sites and an intersite interaction. By a best fitting procedure between theoretical curves and data points, the constraint parameters and the characteristic G+C contents to which the 1st and the 2nd site base compositions are bound were determined. The base substituting mutation of the coding sequence under the base-composition-deflecting pressure is divided into following three stages of the different compliance from the elastic one to the rigid: 1) the 3rd position of codons change by synonymous substitution; 2) the 1st and then 2nd positions change accompanying amino acid replacement; and 3) in the organisms exposed under an extremely high base composition deflecting pressure, the codon table is forced to be altered. The compliance parameters were derived quantitatively for the first two stages. In conclusion, a simultaneous analysis of data from organisms as divers as virus and man discovered that there is a set of constraints common to species, which governs the frequency of codon bases, and it can be described by a universal equation.

Animals↗

PubMed2001

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.

Codon↗

PubMed1995

Speculations on the evolution of the genetic code IV. The evolution of the aminoacyl-tRNA synthetases.

An evolutionary scheme is postulated in which a primitive code, involving only guanine and cytosine, would code for glycine(GG.), alanine(GC.), arginine(CG.) and proline(CC.). There evolves from this primitive code families of related amino acids as the code expands. The evolution of the aminoacyl-tRNA synthetases are considered to be indicators for the evolution of the genetic code. The postulated model for the evolution of the genetic code is used to give an evolutionary interpretation to the recent work on the structure and sequences of the aminoacyl-tRNA synthetases.

Amino Acid Sequence↗

PubMedDate not supplied

The genetic code as a periodic table: algebraic aspects.

The systematics of indices of physico-chemical properties of codons and amino acids across the genetic code are examined. Using a simple numerical labelling scheme for nucleic acid bases, A=(-1,0), C=(0,-1), G=(0,1), U=(1,0), data can be fitted as low order polynomials of the six coordinates in the 64-dimensional codon weight space. The work confirms and extends the recent studies by Siemion et al. (1995. BioSystems 36, 231-238) of the conformational parameters. Fundamental patterns in the data such as codon periodicities, and related harmonics and reflection symmetries, are here associated with the structure of the set of basis monomials chosen for fitting. Results are plotted using the Siemion one-step mutation ring scheme, and variants thereof. The connections between the present work, and recent studies of the genetic code structure using dynamical symmetry algebras, are pointed out.

Amino Acids↗

PubMed1978

Evolution of a genetic code simulated with the computer.

A simple selforganizing model system of molecules is considered and it is demonstrated by a computer simulation, that a genetic code of 16 elements (aminoacids) can gradually be formed by such a system in the course of many generations. By a number of rare chance events, each suppressing other events of equal a priori probability, a single code results out of an immense number of possible codes of the same a priori probability. The result is discussed in relation to the uniqueness of the genetic code in living systems. The computer simulation emphasizes a particular step in a model pathway discussed elsewhere consisting of many assumed physicochemical steps leading to a genetic apparatus.

Base Sequence↗