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.     

Second codon positions of genes and the secondary structures of proteins. Relationships and implications for the origin of the genetic code

The nucleotide frequencies in the second codon positions of genes are remarkably different for the coding regions that correspond to different secondary structures in the encoded proteins, namely, helix, beta-strand and aperiodic structures. Indeed, hydrophobic and hydrophilic amino acids are encoded by codons having U or A, respectively, in their second position. Moreover, the beta-strand structure is strongly hydrophobic, while aperiodic structures contain more hydrophilic amino acids. The relationship between nucleotide frequencies and protein secondary structures is associated not only with the physico-chemical properties of these structures but also with the organisation of the genetic code. In fact, this organisation seems to have evolved so as to preserve the secondary structures of proteins by preventing deleterious amino acid substitutions that could modify the physico-chemical properties required for an optimal structure.     

Is genetic code redundancy related to retention of structural information in both DNA strands?

We have noted that the sense-antisense relationships inherent in the genetic code divide the amino acids into three separate groups. The nature of the amino acids in each group may allow the polypeptides coded by the antisense strand to retain the secondary structure patterns of the translated strand. Also, this relationship requires all but eight of the codons in the eukaryotic code and all but four in the mitochondrial code. Thus, genetic code redundancy could be related to evolutionary pressure toward retention of protein structural information in both strands of DNA.     

Evolution of the aminoacyl-tRNA synthetases and the origin of the genetic code

The aminoacyl-tRNA synthetases exist as two enzyme families which were apparently generated by divergent evolution from two primordial synthetases. The two classes of enzymes exhibit intriguing familial relationships, in that they are distributed nonrandomly within the codon-amino acid matrix of the genetic code. For example, all XCX codons code for amino acids handled by class II synthetases, and all but one of the XUX codons code for amino acids handled by class I synthetases. One interpretation of these patterns is that the synthetases coevolved with the genetic code. The more likely explanation, however, is that the synthetases evolved in the context of an already-established genetic code—a code which developed earlier in an RNA world. The rules which governed the development of the genetic code, and led to certain patterns in the coding catalog between codons and amino acids, would also have governed the subsequent evolution of the synthetases in the context of a fixed code, leading to patterns in synthetase distribution such as those observed. These rules are (1) conservative evolution of amino acid and adapter binding sites and (2) minimization of the disruptive effects on protein structure caused by codon meaning changes.     

Protein evolution within and between species

Protein evolution can be seen as the successive replacement of amino acids by other amino acids. In general, it is a very slow process which is triggered by point mutations in the nucleotide sequence. These mutations can transform into single nucleotide polymorphisms (SNPs) within populations and diverging proteins between species. It is well known that in many cases amino acids can be replaced by others without impeding the functioning of the protein, even if these are of quite different physico-chemical character. In some cases, however, almost any replacement would result in a functionally deficient protein. Based upon comprehensive published SNP data and applying correlation analysis we quantified the two antagonist factors controlling the process of amino acid replacement and thus protein evolution: First, the degenerate structure of the genetic code which facilitates the exchange of certain amino acids and, second, the physico-chemical forces which limit the range of possible exchanges to maintain a functional protein. We found that the observed frequencies of amino acid exchanges within species are best explained by the genetic code and that the conservation of physico-chemical properties plays a subordinate role, but has nevertheless to be considered as a key factor. Between moderately diverged species genetic code and physico-chemical properties exert comparable influence on amino acid exchanges. We furthermore studied amino acid exchanges in more detail for six species (four mammals, one bird, and one insect) and found that the profiles are highly correlated across all examined species despite their large evolutionary divergence of up to 800 million years. The species specific exchange profiles are also correlated to the exchange profile observed between different species. The currently available huge body of SNP data allows to characterize the role of two major shaping forces of protein evolution more quantitatively than before.     

A Novel Theory on the Origin of the Genetic Code: A GNC-SNS Hypothesis

We have previously proposed an SNS hypothesis on the origin of the genetic code (Ikehara and Yoshida 1998). The hypothesis predicts that the universal genetic code originated from the SNS code composed of 16 codons and 10 amino acids (S and N mean G or C and either of four bases, respectively). But, it must have been very difficult to create the SNS code at one stroke in the beginning. Therefore, we searched for a simpler code than the SNS code, which could still encode water-soluble globular proteins with appropriate three-dimensional structures at a high probability using four conditions for globular protein formation (hydropathy, α-helix, β-sheet, and β-turn formations). Four amino acids (Gly [G], Ala [A], Asp [D], and Val [V]) encoded by the GNC code satisfied the four structural conditions well, but other codes in rows and columns in the universal genetic code table do not, except for the GNG code, a slightly modified form of the GNC code. Three three-amino acid systems ([D], Leu and Tyr; [D], Tyr and Met; Glu, Pro and Ile) also satisfied the above four conditions. But, some amino acids in the three systems are far more complex than those encoded by the GNC code. In addition, the amino acids in the three-amino acid systems are scattered in the universal genetic code table. Thus, we concluded that the universal genetic code originated not from a three-amino acid system but from a four-amino acid system, the GNC code encoding [GADV]-proteins, as the most primitive genetic code. Received: 11 June 2001 / Accepted: 11 October 2001     

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.     

Residue-specific Incorporation of Noncanonical Amino Acids into Model Proteins Using an Escherichia coli Cell-free Transcription-translation System

The canonical set of amino acids leads to an exceptionally wide range of protein functionality. Nevertheless, the set of residues still imposes limitations on potential protein applications. The incorporation of noncanonical amino acids can enlarge this scope. There are two complementary approaches for the incorporation of noncanonical amino acids. For site-specific incorporation, in addition to the endogenous canonical translational machineries, an orthogonal aminoacyl-tRNA-synthetase-tRNA pair must be provided that does not interact with the canonical ones. Consequently, a codon that is not assigned to a canonical amino acid, usually a stop codon, is also required. This genetic code expansion enables the incorporation of a noncanonical amino acid at a single, given site within the protein. The here presented work describes residue-specific incorporation where the genetic code is reassigned within the endogenous translational system. The translation machinery accepts the noncanonical amino acid as a surrogate to incorporate it at canonically prescribed locations, i.e., all occurrences of a canonical amino acid in the protein are replaced by the noncanonical one. The incorporation of noncanonical amino acids can change the protein structure, causing considerably modified physical and chemical properties. Noncanonical amino acid analogs often act as cell growth inhibitors for expression hosts since they modify endogenous proteins, limiting in vivo protein production. In vivo incorporation of toxic noncanonical amino acids into proteins remains particularly challenging. Here, a cell-free approach for a complete replacement of L-arginine by the noncanonical amino acid L-canavanine is presented. It circumvents the inherent difficulties of in vivo expression. Additionally, a protocol to prepare target proteins for mass spectral analysis is included. It is shown that L-lysine can be replaced by L-hydroxy-lysine, albeit with lower efficiency. In principle, any noncanonical amino acid analog can be incorporated using the presented method as long as the endogenous in vitro translation system recognizes it.     

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 relationship between the biosynthetic paths to the amino acids and their coding

The genetic code could not have been fixed until the means for biosynthesis of the amino acids was at hand. The biosynthetic enzymes could not be optimized until the genetic code ceased to be rearranged. Therefore the development of the code and the development of the biosynthesis of the amino acids occurred concurrently. The present day biosynthetic pathways of amino acids, examined from this point of view, help to explain the present set of coded amino acids, in particular the absence of norvaline, norleucine, homoserine, ornithine, and alpha-aminobutyric acid. An order of development of biosyntheses is also proposed. Lysine was first, followed by valine and isoleucine. The more common primordial amino acids did not need biosyntheses so early. The central pathways of metabolism probably developed in response to a need for amino acid biosynthesis.     

A methanogen hosted the origin of the genetic code

A comparison is made between orthologous proteins from a methanogen (Methanopyrus kandleri) and from a non-methanogen (Pyrococcus abyssi) in order to determine the amino acid substitution pattern. This analysis makes it possible to establish which amino acids are significantly and asymmetrically utilised by these two organisms. A methanophily index (MI) based on this asymmetry makes it possible for any protein to be associated with a numerical value which, when calculated for the same orthologous protein from methanogenic and non-methanogenic organisms, turns out to have the power to discriminate between these two groups of organisms, even if only for about 20% of the analysed proteins. The MI can also be associated to the genetic code under the assumption that the frequency of synonymous codons specifying the amino acids in the genetic code also reflects the frequency with which amino acids appeared in ancestral proteins. Finally a t-test shows that the MI value associated to the genetic code is not different from the mean value of the MI deriving from methanogen proteins, but it differs from the mean MI of non-methanogen proteins. This might indicate that the genetic code evolved in a methanogenic ‘organism’.     

Evolution of selenocysteine-containing proteins: significance of identification and functional characterization of selenoproteins

In the genetic code, UGA serves as either a signal for termination or a codon for selenocysteine (Sec). Sec rarely occurs in protein and is different from other amino acids in that much of the biosynthetic machinery governing its incorporation into protein is unique to this amino acid. Sec-containing proteins have diverse functions and lack a common amino acid motif or consensus sequence. Sec has previously been considered to be a relic of the primordial genetic code that was counter-selected by the presence of oxygen in the atmosphere. In the present report, it is proposed that Sec was added to the already existing genetic code and its use has accumulated during evolution of eukaryotes culminating in vertebrates. The more recently evolved selenoproteins appear to take advantage of unique redox properties of Sec that are superior to those of Cys for specific biological functions. Further understanding of the evolution of selenoproteins as well as biological properties and biomedical applications of the trace element selenium requires identification and functional characterization of all mammalian selenoproteins.     

The evolution of the structures of amino acid families]

Natural amino acids possessing common antiamino acids are divided into groups and families according to the genetic code algorithm a-n-n-a (amino acid-codon-anticodon-antiamino acid). In an attempt to study structural evolution of amino acid families, artificial genetic code models were constructed. It is suggested that after inclusion of asparaginase and glutamine into the coding system, one of the two natural amino acid families is split into two parts ("half-families").     

Coevolution theory of the genetic code at age thirty

The coevolution theory of the genetic code, which postulates that prebiotic synthesis was an inadequate source of all twenty protein amino acids, and therefore some of them had to be derived from the coevolving pathways of amino acid biosynthesis, has been assessed in the light of the discoveries of the past three decades. Its four fundamental tenets regarding the essentiality of amino acid biosynthesis, role of pretran synthesis, biosynthetic imprint on codon allocations and mutability of the encoded amino acids are proven by the new knowledge. Of the factors that guided the evolutionary selection of the universal code, the relative contributions of Amino Acid Biosynthesis: Error Minimization: Stereochemical Interaction are estimated to first approximation as 40,000,000:400:1, which suggests that amino acid biosynthesis represents the dominant factor shaping the code. The utility of the coevolution theory is demonstrated by its opening up experimental expansions of the code and providing a basis for locating the root of life.     

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.     

Physico-chemical basis of the genetic code origin: stereochemical analysis of interactions of amino acids and nucleotides based on the progene hypothesis

A progene hypothesis has been proposed earlier to explain the mechanism of origin of the self-reproducing genetic system. Progenes (precursors of the genetic system) are mixed anhydrides of an amino acid and deoxyribotrinucleotide at the 3'-gamma-terminal phosphate (NpNpNppp-AA); they are produced from dinucleotides (NpNp) and 3'-gamma-aminoacylnucleotidylates (Nppp-AA) as a result of specific interaction between amino acid and dinucleotide. The postulated mechanism of progene formation accounts for the selection of substances, including chirality, the origin of the genetic code as well as for the mechanisms of formation, self-reproduction and evolution of the simpliest genetic system ("gene--polypeptide"). A stereochemical analysis of the progene formation mechanism has allowed us to support the main statements of the hypothesis that relate to the origin of the genetic code and to selection of substances. Atomic groups that could be responsible for the specificity of interaction between dinucleotides and amino acids in progene formation have been revealed. Stereochemical evidence for the physicochemical basis of the origin of the existing genetic code have been produced: 1) a special role of the second nucleotide in the codon is demonstrated in amino acid coding by the progene hypothesis principle; 2) an advantage of T against U in such coding is demonstrated; 3) for 16 amino acids out of 20 an agreement has been obtained between the optimal dinucleotide as revealed by the stereochemical analysis and the codon dinucleotides; 4) an explanation for the third nucleotide selection mechanism is offered. A restoration of the prebiotic code, based on these results, has indicated that the code contains 32 codons, is statistical and group-wise. It encodes 7 groups of isofunctional amino acids: 3 overlapping groups of non-polar amino acids 1) medium-size hydrophobic amino acids (chiefly Val, n-Val and a-But), 2) small and medium-size non-polar amino acids (chiefly Ala Val, n-Val a-But and Gly), 3) small non-polar amino acids (Gly, Ala, a-But) and 4 groups of polar amino acids--1) hydroxy--+dicarbonic (Asp, Glu, Ser and Thr), 2) dicarbonic (Asp and Glu), 3) hydroxy (Ser and Thr) and 4) basic (Arg and Lys). The code includes about 20 amino acids among which are 15-17 canonical and a few common non-canonical. The prebiotic code explains many properties of the existing genetic code and is capable of evolving into the latter by way of a gradual replacement of the physicochemical coding mechanism by the enzymatic coding mechanism.     

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.