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 metabolic pathways by chance assembly of enzyme proteins generated from sense and antisense strands of pre-existing genes.

In order to get an insight into the evolutionary aspect of metabolic pathways, especially of the ubiquitous glycolytic pathway, we have carried out an extensive search of sense-sense and sense-antisense similarities for enzyme proteins in the glycolytic pathway, the pentose phosphate cycle, alcohol and lactate fermentation pathways and the TCA cycle. This investigation of amino acid sequences reveals a curious pattern of similarity relations; no similarity can be found between the enzyme proteins in a section of the glycolytic pathway where the glyceraldehyde-3-phosphate or even glycerol-3-phosphate is converted into the pyruvate while many examples of sense-sense and sense-antisense similarities are found even between enzyme proteins in distant blocks, e.g. between the proteins in the TCA cycle and those in the pentose phosphate cycle, as well as between the functionally associated proteins in each of these blocks. Complementary to this characteristic pattern of amino acid sequence similarity, the search for similarities of nucleotide sequences also finds that the similarities of glycolytic enzyme genes, some sense-sense and others sense-antisense similarities, are concentrated on the nucleotide sequences of prokaryotic 16S or eukaryotic 18S ribosomal RNA gene with its flanks, although some of the copy sequences are also found in transfer RNA genes as well as in 23S or 26S ribosomal RNA gene. These results strongly suggest that the metabolic pathways have been developed by the chance assembly of enzyme proteins generated from the sense and antisense strands of pre-existing genes, e.g. the fermentation pathways and pentose phosphate cycle by the proteins from the genes of enzymes in the glycolytic pathway and the TCA cycle from all these successively increased genes, ascribing the origin of metabolic enzyme genes to the close relation between the glycolytic enzyme protein genes and the RNA gene cluster.     

Undetected antisense tRNAs in mitochondrial genomes?

Background  

The hypothesis that both mitochondrial (mt) complementary DNA strands of tRNA genes code for tRNAs (sense-antisense coding) is explored. This could explain why mt tRNA mutations are 6.5 times more frequently pathogenic than in other mt sequences. Antisense tRNA expression is plausible because tRNA punctuation signals mt sense RNA maturation: both sense and antisense tRNAs form secondary structures potentially signalling processing. Sense RNA maturation processes by default 11 antisense tRNAs neighbouring sense genes. If antisense tRNAs are expressed, processed antisense tRNAs should have adapted more for translational activity than unprocessed ones. Four tRNA properties are examined: antisense tRNA 5′ and 3′ end processing by sense RNA maturation and its accuracy, cloverleaf stability and misacylation potential.     

The hidden code in genomics: a tool for gene discovery.

Among new insights coming from the completion of sequencing of the human genome, reported in Nature and Science, are clues of how evolution has increased the complexity of species, and in particular how the genetic code has enabled this process. It is clear that life has not only evolved by increasing the number of genes, but also by ingeniously evolving an efficient code for expressing diversity in the building blocks (i.e. the amino acids). The rules of nucleic acid base pairing and the classification of amino acids according to hydrophobicity/hydrophilicity relationships define a binary DNA code, which determines the general biophysical characteristics of proteins. Sense and antisense strands can encode protein segments having inverted and complementary hydropathy. The underlying binary code controls association and dissociation of proteins and presumably represents a primordial code that might have emerged in the early stages of self-organizing biochemical cycles. It is the purpose of this communication to provide a perspective of the code in the context of a binary language from its primordial origin to its present day format and to propose to use this code as a genomic mining tool.     

Origins of gene, genetic code, protein and life: comprehensive view of life systems from a GNC-SNS primitive genetic code hypothesis

We have investigated the origin of genes, the genetic code, proteins and life using six indices (hydropathy, α-helix, β-sheet and β-turn formabilities, acidic amino acid content and basic amino acid content) necessary for appropriate three-dimensional structure formation of globular proteins. From the analysis of microbial genes, we have concluded that newly-born genes are products of nonstop frames (NSF) on antisense strands of microbial GC-rich genes [GC-NSF(a)] and from SNS repeating sequences [(SNS)_n] similar to the GC-NSF(a) (S and N mean G or C and either of four bases, respectively). We have also proposed that the universal genetic code used by most organisms on the earth presently could be derived from a GNC-SNS primitive genetic code. We have further presented the [GADV]-protein world hypothesis of the origin of life as well as a hypothesis of protein production, suggesting that proteins were originally produced by random peptide formation of amino acids restricted in specific amino acid compositions termed as GNC-, SNS and GC-NSF(a)-0th order structures of proteins. The [GADV]-protein world hypothesis is primarily derived from the GNC-primitive genetic code hypothesis. It is also expected that basic properties of extant genes and proteins could be revealed by considerations based on the scenario with four stages This review is a modified English version of the paper, which was written in Japanese and published inViva Origino 2001 29 66–85.     

Did tRNA synthetase classes arise on opposite strands of the same gene?

Structural homology of class II aminoacyl-tRNA synthetases to the HSP70 family and the existence of a gene whose sense and antisense strands code for a dehydrogenase and an HSP70 chaperonin justify reconsideration of a possible sense-antisense ancestry for the two synthetase classes.     

On the origin and evolution of the genetic code

Two ideas have essentially been used to explain the origin of the genetic code: Crick's frozen accident and Woese's amino acid-codon specific chemical interaction. Whatever the origin and codon-amino acid correlation, it is difficult to imagine the sudden appearance of the genetic code in its present form of 64 codons coding for 20 amino acids without appealing to some evolutionary process. On the contrary, it is more reasonable to assume that it evolved from a much simpler initial state in which a few triplets were coding for each of a small number of amino acids. Analysis of genetic code through information theory and the metabolism of pyrimidine biosynthesis provide evidence that suggests that the genetic code could have begun in an RNA world with the two letters A and U grouped in eight triplets coding for seven amino acids and one stop signal. This code could have progressively evolved by making gradual use of letters G and C to end with 64 triplets coding for 20 amino acids and three stop signals. According to proposed evidence, DNA could have appeared after the four-letter structure was already achieved. In the newborn DNA world, T substituted U to get higher physicochemical and genetic stability.     

Globular proteins,GU wobbling,and the evolution of the genetic code

Summary It has previously been shown that the formation of GU base pairs in RNA copying processes leads to an accumulation of G and U in both strands of the replicating RNA, which results in a non-random distribution of base triplets. In the present paper, this distribution is calculated, and, using the ²-test, a correlation between the distribution of triplets and the amino acid composition of the evolutionarily conservative interior regions of selected globular proteins is established.It is suggested that GU wobbling in early replication of RNA could have led to the observed amino acid composition of present-day protein interiors. If this hypothesis is correct, the GU wobbling must have been very extensive in the imprecisely replicating RNA, even reaching values close to the critical for stability of its double-helical structure. Implications of the hypothesis both for the evolution of the genetic code and of proteins are discussed.     

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.     

Early fixation of an optimal genetic code

The evolutionary forces that produced the canonical genetic code before the last universal ancestor remain obscure. One hypothesis is that the arrangement of amino acid/codon assignments results from selection to minimize the effects of errors (e.g., mistranslation and mutation) on resulting proteins. If amino acid similarity is measured as polarity, the canonical code does indeed outperform most theoretical alternatives. However, this finding does not hold for other amino acid properties, ignores plausible restrictions on possible code structure, and does not address the naturally occurring nonstandard genetic codes. Finally, other analyses have shown that significantly better code structures are possible. Here, we show that if theoretically possible code structures are limited to reflect plausible biological constraints, and amino acid similarity is quantified using empirical data of substitution frequencies, the canonical code is at or very close to a global optimum for error minimization across plausible parameter space. This result is robust to variation in the methods and assumptions of the analysis. Although significantly better codes do exist under some assumptions, they are extremely rare and thus consistent with reports of an adaptive code: previous analyses which suggest otherwise derive from a misleading metric. However, all extant, naturally occurring, secondarily derived, nonstandard genetic codes do appear less adaptive. The arrangement of amino acid assignments to the codons of the standard genetic code appears to be a direct product of natural selection for a system that minimizes the phenotypic impact of genetic error. Potential criticisms of previous analyses appear to be without substance. That known variants of the standard genetic code appear less adaptive suggests that different evolutionary factors predominated before and after fixation of the canonical code. While the evidence for an adaptive code is clear, the process by which the code achieved this optimization requires further attention.     

Intrinsic disorder in protein sense‐antisense recognition

In addition to the well‐established sense‐antisense complementarity abundantly present in the nucleic acid world and serving as a basic principle of the specific double‐helical structure of DNA, production of mRNA, and genetic code‐based biosynthesis of proteins, sense‐antisense complementarity is also present in proteins, where sense and antisense peptides were shown to interact with each other with increased probability. In nucleic acids, sense‐antisense complementarity is achieved via the Watson‐Crick complementarity of the base pairs or nucleotide pairing. In proteins, the complementarity between sense and antisense peptides depends on a specific hydropathic pattern, where codons for hydrophilic and hydrophobic amino acids in a sense peptide are complemented by the codons for hydrophobic and hydrophilic amino acids in its antisense counterpart. We are showing here that in addition to this pattern of the complementary hydrophobicity, sense and antisense peptides are characterized by the complementary order‐disorder patterns and show complementarity in sequence distribution of their disorder‐based interaction sites. We also discuss how this order‐disorder complementarity can be related to protein evolution.     

Inferring the Ancient History of the Translation Machinery and Genetic Code via Recapitulation of Ribosomal Subunit Assembly Orders

Universally conserved positions in ribosomal proteins have significant biases in amino acid usage, likely indicating the expansion of the genetic code at the time leading up to the most recent common ancestor(s) (MRCA). Here, we apply this principle to the evolutionary history of the ribosome before the MRCA. It has been proposed that the experimentally determined order of assembly for ribosomal subunits recapitulates their evolutionary chronology. Given this model, we produce a probabilistic evolutionary ordering of the universally conserved small subunit (SSU) and large subunit (LSU) ribosomal proteins. Optimizing the relative ordering of SSU and LSU evolutionary chronologies with respect to minimizing differences in amino acid usage bias, we find strong compositional evidence for a more ancient origin for early LSU proteins. Furthermore, we find that this ordering produces several trends in specific amino acid usages compatible with models of genetic code evolution.     

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.     

Doublet frequencies in the DNA of genetic code limit organisms

Summary Unrelated organisms with DNA of extreme G + C content (25% or 70%) are found to share very specific patterns of nearest neighbour base doublet frequency in their DNAs. This is shown to be a result of restrictions on the extremity of amino acid composition in their proteins, combined with a maximisation of the use of one type of base pair in redundant codon positions. Inferences are made about the universal nature of the genetic code and the proportion of DNA used for specifying protein in different species. The composition of coding DNA strands in these organisms is also discussed.     

The evolution of the genetic code took place in an anaerobic environment

We have compared orthologous proteins from an aerobic organism, Cytophaga hutchinsonii, and from an obligate anaerobe, Bacteroides thetaiotaomicron. This comparison allows us to define the oxyphobic ranks of amino acids, i.e. a scale of the relative sensitivity to oxygen of the amino acid residues. The oxyphobic index (OI), which can be simply obtained from the amino acids' oxyphobic ranks, can be associated to any protein and therefore to the genetic code, if the number of synonymous codons attributed to the amino acids in the code is assumed to be the frequency with which the amino acids appeared in ancestral proteins. Sampling of the OI variable from the proteins of obligate anaerobes and aerobes has established that the OI value of the genetic code is not significantly different from the mean OI value of anaerobe proteins, while it is different from that of aerobe proteins. This observation would seem to suggest that the terminal phases of the evolution of genetic code organization took place in an anaerobic environment. This result is discussed in the framework of hypotheses suggested to explain the timing of the evolutionary appearance of the aerobic metabolism.