Speculations on the evolution of the genetic code.

An evolutionary scheme is postulated in which the bases enter the genetic code in a definite temporal sequence and the correlated amino acids are assigned definite functions in the evolving system. The scheme requires a singlet code (guanine coding for glycine) evolving into a doublet code (guanine-cytosine doublet coding for gly (GG), ala (GC), arg (CG), pro (CC). The doublet code evolves into a triplet code. Polymerization of nucleotides is thought to have been by block polymerization rather than by a template mechanism. The proteins formed at first were simple structural peptides. No direct nucleotide-amino acid stereo-chemical interaction was required. Rather an adaptor-type indirect mechanism is thought to have been functioning since the origin.     

Speculations on the evolution of the genetic code

An evolutionary scheme is postulated in which the bases enter the genetic code in a definite temporal sequence and the correlated amino acids are assigned definite functions in the evolving system.The scheme requires a singlet code (guanine coding for glycine) evolving into a doublet code (guanine-cytosine doublet coding for gly (GG), ala (GC), arg (CG), pro (CC)). The doublet code evolves into a triplet code. Polymerization of nucleotides is thought to have been by block polymerization rather than by a template mechanism. The proteins formed at first were simple structural peptides. No direct nucleotide-amino acid stereo-chemical interaction was required. Rather an adaptor-type indirect mechanism is thought to have been functioning since the origin.     

On the origin of the genetic code

It is argued that three chemical criteria determined the evolution of the genetic code: codon-anticodon pairing; codon-amino acid pairing; amino acid pairing. The first criterium determined the set of interactive nucleotides; the second, the set of nucleotides interactive with amino acids; the third, the set of mutually interactive amino acids. The code resulted from the intersection of these sets. This hypothesis explains the specificity and universality of the code as well as the “choice” of the standard amino acids and nucleotides from among those available in nature. The specific mechanism for codon-amino acid pairing assumed here is the “backwards” (Crick, 1967) Pelc-Welton (1966) models. Three types of evidence support “backwards” pairing: parallel genetic coding of amino acid pairs (Root-Bernstein, 1982); results of binding experiments by Saxinger and Ponnamperuma (1974); reinterpretation of Jungck's (1978) correlations between the properties of amino acids and their respective anticodon nucleotides. The inversion of the code to its present state occurred as a result of the evolution of tRNA molecules which supplanted parallel codon-amino acid interactions with antiparallel codon-anticodon ones. The paper concludes with suggestions for testing the hypothesis.     

An Analysis of the Metabolic Theory of the Origin of the Genetic Code

A computer program was used to test Wong's coevolution theory of the genetic code. The codon correlations between the codons of biosynthetically related amino acids in the universal genetic code and in randomly generated genetic codes were compared. It was determined that many codon correlations are also present within random genetic codes and that among the random codes there are always several which have many more correlations than that found in the universal code. Although the number of correlations depends on the choice of biosynthetically related amino acids, the probability of choosing a random genetic code with the same or greater number of codon correlations as the universal genetic code was found to vary from 0.1% to 34% (with respect to a fairly complete listing of related amino acids). Thus, Wong's theory that the genetic code arose by coevolution with the biosynthetic pathways of amino acids, based on codon correlations between biosynthetically related amino acids, is statistical in nature. Received: 8 August 1996 / Accepted: 26 December 1996     

Structural Phylogenomics Retrodicts the Origin of the Genetic Code and Uncovers the Evolutionary Impact of Protein Flexibility

The genetic code shapes the genetic repository. Its origin has puzzled molecular scientists for over half a century and remains a long-standing mystery. Here we show that the origin of the genetic code is tightly coupled to the history of aminoacyl-tRNA synthetase enzymes and their interactions with tRNA. A timeline of evolutionary appearance of protein domain families derived from a structural census in hundreds of genomes reveals the early emergence of the ‘operational’ RNA code and the late implementation of the standard genetic code. The emergence of codon specificities and amino acid charging involved tight coevolution of aminoacyl-tRNA synthetases and tRNA structures as well as episodes of structural recruitment. Remarkably, amino acid and dipeptide compositions of single-domain proteins appearing before the standard code suggest archaic synthetases with structures homologous to catalytic domains of tyrosyl-tRNA and seryl-tRNA synthetases were capable of peptide bond formation and aminoacylation. Results reveal that genetics arose through coevolutionary interactions between polypeptides and nucleic acid cofactors as an exacting mechanism that favored flexibility and folding of the emergent proteins. These enhancements of phenotypic robustness were likely internalized into the emerging genetic system with the early rise of modern protein structure.     

The complementarity of the chemical parameters of amino acids and anticodons in the genetic code

Chemical language of the genetic code is suggested in which elementary information code units are presented by functional groups of amino acids and nucleotides. Using this language, the existence of correspondence and conformity of chemical parameters of amino acids and of central nucleotides of their anticodons was demonstrated. These findings confirm the idea that the genetic code is determined by chemical properties of amino acids and nucleotides and that this determination is the result of direct specific interactions between amino acids and nucleotide triplets at the stage of the origin of the code. The data obtained reveal primary role of anticodon triplets in the origin of the code. Key role of the central nucleotide in triplets for amino acid coding is confirmed.     

A Realistic Model Under Which the Genetic Code is Optimal

The genetic code has a high level of error robustness. Using values of hydrophobicity scales as a proxy for amino acid character, and the mean square measure as a function quantifying error robustness, a value can be obtained for a genetic code which reflects the error robustness of that code. By comparing this value with a distribution of values belonging to codes generated by random permutations of amino acid assignments, the level of error robustness of a genetic code can be quantified. We present a calculation in which the standard genetic code is shown to be optimal. We obtain this result by (1) using recently updated values of polar requirement as input; (2) fixing seven assignments (Ile, Trp, His, Phe, Tyr, Arg, and Leu) based on aptamer considerations; and (3) using known biosynthetic relations of the 20 amino acids. This last point is reflected in an approach of subdivision (restricting the random reallocation of assignments to amino acid subgroups, the set of 20 being divided in four such subgroups). The three approaches to explain robustness of the code (specific selection for robustness, amino acid–RNA interactions leading to assignments, or a slow growth process of assignment patterns) are reexamined in light of our findings. We offer a comprehensive hypothesis, stressing the importance of biosynthetic relations, with the code evolving from an early stage with just glycine and alanine, via intermediate stages, towards 64 codons carrying todays meaning.     

Polarity and hydrophobicity interactions in protein synthesis process

About 30 years ago, experiments found that there are polarity and hydrophobicity (P and H) correlations and affinity between amino acids and their anticodons. Although it is shown that these experimental findings are important for explaining the origins of the genetic code, the great potential of P and H interactions in investigating other bio-functions have not been fully explored. Here, through raising, discussing and answering seven relevant questions hidden in tRNA aminoacylation, the formation of peptide bonds, and the ending of translations, etc., we show our theoretical findings that the P and H correlations and affinity take vital roles in the protein synthesis process. We found the relationship between the 3' end ACCN sequences of tRNA molecules and the activated amino acids and its biological significance, the rRNAs' consensus sequences 5'NCC...TGG3' or 5'TGG...NCC3' which may perform as functional segments of rRNAs to help triggering the reaction of peptide formation, and common nature of releasing factors that the first amino acid residue of releasing factors ERF, RF1 and RF2 are all Methionine, except a few Alanine, which may be necessary for releasing the translated polypeptide and stopping the translating process. In the terms of P and H correlations and affinity, we provide explanations of why only using the poly (G) as mRNA template cannot get the poly (Gly) in experiments deciphering the genetic code, why Gly often appears in beta turns and why translational bypassing might occur when translating 5'GGAUGA on mRNA. Since amino acids and nucleotides are the subunits, respectively, for composing proteins and nucleic acids, these findings will help in further understanding interactions among the bio-macromolecules. These findings are also helpful for investigating rRNAs, further understanding the protein synthesis process and analysing similar bio-problems, and should be proved useful for experimental biologists.     

Evolution of the Genetic Code by Incorporation of Amino Acids that Improved or Changed Protein Function

Fifty years have passed since the genetic code was deciphered, but how the genetic code came into being has not been satisfactorily addressed. It is now widely accepted that the earliest genetic code did not encode all 20 amino acids found in the universal genetic code as some amino acids have complex biosynthetic pathways and likely were not available from the environment. Therefore, the genetic code evolved as pathways for synthesis of new amino acids became available. One hypothesis proposes that early in the evolution of the genetic code four amino acids—valine, alanine, aspartic acid, and glycine—were coded by GNC codons (N = any base) with the remaining codons being nonsense codons. The other sixteen amino acids were subsequently added to the genetic code by changing nonsense codons into sense codons for these amino acids. Improvement in protein function is presumed to be the driving force behind the evolution of the code, but how improved function was achieved by adding amino acids has not been examined. Based on an analysis of amino acid function in proteins, an evolutionary mechanism for expansion of the genetic code is described in which individual coded amino acids were replaced by new amino acids that used nonsense codons differing by one base change from the sense codons previously used. The improved or altered protein function afforded by the changes in amino acid function provided the selective advantage underlying the expansion of the genetic code. Analysis of amino acid properties and functions explains why amino acids are found in their respective positions in the genetic code.     

The origin of the genetic code cannot be studied using measurements based on the PAM matrix because this matrix reflects the code itself, making any such analyses tautologous

Freeland et al. (Mol. Biol. Evol. 2000 a, 17, 511--518) have recently used a transformation of the PAM 74-100 matrix to study the level of optimization reached during genetic code origin. Since the PAM matrix counts the amino acid substitutions that occurred in families of homologous proteins during molecular evolution and as this process is mediated by the genetic code structure itself, it could be that the influence of the code on this matrix is such as to make any conclusion insignificant. As will be shown in the present paper, the transformation of the PAM matrix is affected in a non-marginal way by the organization of the genetic code and, thus, renders the analysis of Freeland et al. tautologous. Although, under the hypothesis of a highly optimized genetic code, some correlations may be expected between a measurement of similarity between amino acids and the genetic code structure, no certain conclusions can be drawn for the measurement used by Freeland et al.     

Aminoacylation of RNA Minihelices: Implications for tRNA Synthetase Structural Design and Evolution

Abstract

The genetic code is based on the aminoacylation of tRNA with amino acids catalyzed by the aminoacyl-tRNA synthetases. The synthetases are constructed from discrete domains and all synthetases possess a core catalytic domain that catalyzes amino acid activation, binds the acceptor stem of tRNA, and transfers the amino acid to tRNA. Fused to the core domain are additional domains that mediate RNA interactions distal to the acceptor stem. Several synthetases catalyze the aminoacylation of RNA oligonucleotide substrates that recreate only the tRNA acceptor stems. In one case, a relatively small catalytic domain catalyzes the aminoacylation of these substrates independent of the rest of the protein. Thus, the active site domain may represent a primordial synthetase in which polypeptide insertions that mediate RNA acceptor stem interactions are tightly integrated with determinants for aminoacyl adenylate synthesis. The relationship between nucleotide sequences in small RNA oligonucleotides and the specific amino acids that are attached to these oligonucleotides could constitute a second genetic code.     

Amino Acid Exchangeability and the Adaptive Code Hypothesis

Since the genetic code first was determined, many have claimed that it is organized adaptively, so as to assign similar codons to similar amino acids. This claim has proved difficult to establish due to the absence of relevant comparative data on alternative primordial codes and of objective measures of amino acid exchangeability. Here we use a recently developed measure of exchangeability to evaluate a null hypothesis and two alternative hypotheses about the adaptiveness of the genetic code. The null hypothesis that there is no tendency for exchangeable amino acids to be assigned to similar codons can be excluded here as expected from earlier work. The first alternative hypothesis is that any such correlation between codon distance and amino acid distance is due to incremental mechanisms of code evolution, and not to adaptation to reduce deleterious effects of future mutations. More specifically, new codon assignments that occur by ambiguity reduction or by codon capture will tend to give rise to correlations, whether due to the condition of amino acid ambiguity, or to the condition of similarity between a new tRNA synthetase (or tRNA) and its parent. The second alternative hypothesis, the adaptive hypothesis, then may be defined as an excess relative to what may be expected given the incremental nature of evolution, reflecting true adaptation for robustness rather than an incidental effect. The results reported here indicate that most of the nonrandomness in the amino acids to codon assignments can be explained by incremental code evolution, with a small residue of orderliness that may reflect code adaptation.     

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.     

A concept of amino acid archaeorelation: Origin of life and the genetic code

Using certain assumptions, an attempt has been made to obtain a quantitative evaluation of the similarity of the bulk amino acid compositions of various organisms and of the quantitative ratios of amino acids in the products of the presumable prebiological ructions and in the natural proteins. The results of comparison between the molar ratios of amino acids in synthesized products and in natural proteins and the quantitative distribution of triplets among amino acids in the existing genetic code are given. Proceeding from the correlations found and the data reported in literature, a concept has been suggested amounting, in essence, to the assertion that the structure of the genetic code (the quantitative distribution of the triplets) is in a certain way determined by the pre-existing, primary ratio (archaeorelation) of amino acids.     

A biophysical basis for the emergence of the genetic code in protocells

The origin of the genetic code is an abiding mystery in biology. Hints of a ‘code within the codons’ suggest biophysical interactions, but these patterns have resisted interpretation. Here, we present a new framework, grounded in the autotrophic growth of protocells from CO₂ and H₂. Recent work suggests that the universal core of metabolism recapitulates a thermodynamically favoured protometabolism right up to nucleotide synthesis. Considering the genetic code in relation to an extended protometabolism allows us to predict most codon assignments. We show that the first letter of the codon corresponds to the distance from CO₂ fixation, with amino acids encoded by the purines (G followed by A) being closest to CO₂ fixation. These associations suggest a purine-rich early metabolism with a restricted pool of amino acids. The second position of the anticodon corresponds to the hydrophobicity of the amino acid encoded. We combine multiple measures of hydrophobicity to show that this correlation holds strongly for early amino acids but is weaker for later species. Finally, we demonstrate that redundancy at the third position is not randomly distributed around the code: non-redundant amino acids can be assigned based on size, specifically length. We attribute this to additional stereochemical interactions at the anticodon. These rules imply an iterative expansion of the genetic code over time with codon assignments depending on both distance from CO₂ and biophysical interactions between nucleotide sequences and amino acids. In this way the earliest RNA polymers could produce non-random peptide sequences with selectable functions in autotrophic protocells.     

The arbitrariness of the genetic code

The genetic code has been regarded as arbitrary in the sense that the codon-amino acid assignments could be different than they actually are. This general idea has been spelled out differently by previous, often rather implicit accounts of arbitrariness. They have drawn on the frozen accident theory, on evolutionary contingency, on alternative causal pathways, and on the absence of direct stereochemical interactions between codons and amino acids. It has also been suggested that the arbitrariness of the genetic code justifies attributing semantic information to macromolecules, notably to DNA. I argue that these accounts of arbitrariness are unsatisfactory. I propose that the code is arbitrary in the sense of Jacques Monod's concept of chemical arbitrariness: the genetic code is arbitrary in that any codon requires certain chemical and structural properties to specify a particular amino acid, but these properties are not required in virtue of a principle of chemistry. This notion of arbitrariness is compatible with several recent hypotheses about code evolution. I maintain that the code's chemical arbitrariness is neither sufficient nor necessary for attributing semantic information to nucleic acids.     

Frequent occurrence of recognition Site-like sequences in the restriction endonucleases

Background  

There are two different theories about the development of the genetic code. Woese suggested that it was developed in connection with the amino acid repertoire, while Crick argued that any connection between codons and amino acids is only the result of an "accident". This question is fundamental to understand the nature of specific protein-nucleic acid interactions.     

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.     

Temperature adaptation of lactate dehydrogenase. Structural, functional and genetic aspects

Comparison of the primary structures of thermophilic, mesophilic and psychrophilic lactate dehydrogenase (LDH) reveals a multitude of temperature-related amino acid substitutions. In the substitutions amino acid residues occurring preferentially in thermophilic, mesophilic (psychrophilic) LDH were found. On this basis, amino acid residues could be classified in an order from typical thermophilic (thermostabilizing) to typical mesophilic (thermolabilizing, increasing dynamics of the enzyme molecule) residues. The temperature-dependent ratio between thermostabilizing and thermolabilizing amino acid residues forms the basis for the specific structural and functional properties of thermophilic or mesophilic LDH. It is interesting that there appears to be a relationship between this order from thermophilic to mesophilic amino acid residues and the type of bases coding for these individual residues in the translation step of protein biosynthesis. Temperature-related amino acid substitutions are based on temperature-related base substitutions. A possible mechanism of temperature adaptation of LDH through alternative selection of thermophilic and mesophilic amino acid residues at the level of tRNA (anticodon)-mRNA (codon) interactions is discussed. These temperature-adaptation processes are evolutionary events in which the evolution and structure of the genetic code are involved.