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PubMed1976

Intragenic mutational spectra and hot spots.

In this review we outline the various factors which may contribute to the non-randomness of intragenic mutational spectra and the occurrence of hot spots. These factors include sample size limitation, particularly for sites of low mutability, and possible regions of low recombination potential. In addition, the nature of the gene product places great restraint on the detectability of either frameshift and premature chain-terminating mutations on one hand, or of the majority of missense mutations on the other. The nature of the Genetic Code itself also limits the mutational spectrum in so far as specific base pair substitutions lead only to a limited number of detectable amino acid replacements. Mutational hot spots may be a special example of the influence of neighbouring base pairs in the mutability of any given base pair. This is apparently true for frameshift mutations which tend to occur in runs of repeated base pairs or base pair doublets. Neighbouring base effects could operate not only at the level of initial reactivity with a mutagen, but also subsequently at the levels of DNA repair, recombination or replication. In some cases rare or modified bases may be responsible for neighbour effects. We suggest specific experimental approaches which seem likely to aid in the elucidation of these problems.

Base Sequence↗
PubMed1981

Affinities of amino acid side chains for solvent water.

Equilibria of distribution of amino acid side chains, between their dilute aqueous solutions and the vapor phase at 25 degrees C, have been determined by dynamic vapor pressure measurements. After correction to pH 7, the resulting scale of "hydration potentials", or free energies of transfer from the vapor phase to neutral aqueous solution, spans a range of approximately 22 kcal/mol. The side chain of arginine is much more hydrophilic than those of the other common amino acids, with an equilibrium constant of approximately 10(15) for transfer from the vapor phase to neutral aqueous solution. Hydration potentials are more closely correlated with the relative tendencies of the various amino acids to appear at the surface of globular proteins than had been evident from earlier distribution studies on the free amino acids. Both properties are associated with a pronounced bias in the genetic code.

Amino Acids↗
PubMed2000

Coding in the noncoding DNA strand: A novel mechanism of gene evolution?

The question whether the noncoding DNA strand had or still has the capability for encoding functional polypeptides has been addressed in several articles. The theoretical background of the views advocating this idea arose from two groups of findings. One of them was based on various observations implying that the genetic code was adapted for double-strand coding. The other group of theories arose from the observation of gene-length overlapping open reading frames (O-ORFs) on the antisense DNA strand in a number of genes. In fact, the above theories, which I term selectionist, conceive a novel conception of gene evolution, proposing that new genes can be created by the utilization of antisense DNA strand. In contrast, neutralist theory claims that the O-ORFs are mere by-products of evolutionary processes acting to create special codon usage and base distribution patterns in the coding sequences.

Codon↗
PubMed2006

tRNA's wobble decoding of the genome: 40 years of modification.

The genetic code is degenerate, in that 20 amino acids are encoded by 61 triplet codes. In 1966, Francis Crick hypothesized that the cell's limited number of tRNAs decoded the genome by recognizing more than one codon. The ambiguity of that recognition resided in the third base-pair, giving rise to the Wobble Hypothesis. Post-transcriptional modifications at tRNA's wobble position 34, especially modifications of uridine 34, enable wobble to occur. The Modified Wobble Hypothesis proposed in 1991 that specific modifications of a tRNA wobble nucleoside shape the anticodon architecture in such a manner that interactions were restricted to the complementary base plus a single wobble pairing for amino acids with twofold degenerate codons. However, chemically different modifications at position 34 would expand the ability of a tRNA to read three or even four of the fourfold degenerate codons. One foundation of Crick's Wobble Hypothesis was that a near-constant geometry of canonical base-pairing be maintained in forming all three base-pairs between the tRNA anticodon and mRNA codon on the ribosome. In accepting an aminoacyl-tRNA, the ribosome requires maintenance of a specific geometry for the anticodon-codon base-pairing. However, it is the post-transcriptional modifications at tRNA wobble position 34 and purine 37, 3'-adjacent to the anticodon, that pre-structure the anticodon domain to ensure the correct codon binding. The modifications create both the architecture and the stability needed for decoding through restraints on anticodon stereochemistry and conformational space, and through selective hydrogen bonding. A physicochemical understanding of modified nucleoside contributions to the tRNA anticodon domain architecture and its decoding of the genome has advanced RNA world evolutionary theory, the principles of RNA chemistry, and the application of this knowledge to the introduction of new amino acids to proteins.

Anticodon↗
PubMedDate not supplied

Translation conditional models for protein coding sequences.

A coding sequence is defined as a DNA sequence coding the primary structure of a protein (a polypeptide). Such a sequence must satisfy a specific constraint, which consists in coding a functional protein. As the genetic code is degenerated, there exists, for a given polypeptide, a set of synonymous sequences which would code the same polypeptide. Translation conditional models are being defined on such sets. The aim of this paper is to give a common formalism. Besides the codon bias model, a few other conditional models will be defined. Statistical estimators and comparison methods will be briefly presented. These models can be used for gene classification, or to find out, in a real sequence, remarkable features. An example will be presented on Escherichia coli genes.

Bacterial Proteins↗
PubMed1980

Codon recognition rules in yeast mitochondria.

The mitochondrial genome of Saccharomyces cerevisiae codes for 24 tRNAs. The nucleotide sequences of the tRNA genes suggest a unique set of rules that govern the decoding of the mitochondrial genetic code. The four codons of unmixed fmilies are recognized by single tRNAs that always have a U in the wobble position of the anticodon. The codons of the mixed families are read by two different tRNAs. Codons terminating in a C or U are recognized by tRNAs with a G and codons terminating in a G or A are recognized by tRNAs with a U in the corresponding positions of the anticodons. There are two exceptions to these rules. In the AUN family for isoleucine and methionine, the isoleucine tRNA has a G and the methionine tRNA has a C in the wobble position. The tRNA for the arginine CGN family also has an A in the wobble position of the anticodon. It is of interest that the CGN codons have not been found in the mitochondrial genes sequenced to date. The simplified decoding system of yeast mitochondria allows all the codons to be recognized by only 24 tRNAs.

Anticodon↗
PubMed1990

Nonrandomness in prebiotic peptide synthesis.

We have synthesized and studied the properties of phosphoanhydrides of alanine with guanosine monophosphate, uridine monophosphate, and adenosine monophosphate. This series of compounds allowed us to investigate the specificity of peptide bound formation in a reaction that could have taken place on the prebiotic earth. We asked whether the intrinsic reactivity of the amino acids, the nature of the nucleotide in the anhydride, or the complementary polynucleotide template influences the specificity of the peptide synthesis reaction. We observed that the differential reactivity of the amino acids results in nearest-neighbor preferences during the peptide synthesis, whereas the nature of the nucleotides and the presence of complementary polynucleotides had no influence on the specificity. These results suggest that some peptides would have been more abundant than others on the prebiotic earth and have implications for the study of the origins of the genetic code and protein synthesis.

Amino Acid Sequence↗
PubMed1992

Selenocysteyl-tRNAs recognize UGA in Beta vulgaris, a higher plant, and in Gliocladium virens, a filamentous fungus.

Selenocysteyl-tRNAs that decode UGA were previously identified in representatives of three of the five life kingdoms which were the monera, animal and protist kingdoms. In the present study, we show that these tRNAs also occur in representatives of the two remaining kingdoms, plants and fungi; i.e., selenocysteyl-tRNAs which code for UGA occur in Beta vulgaris, a higher plant, and in Gliocladium virens, a filamentous fungus. The fact that selenocysteyl-tRNAs are present in all five life kingdoms strongly suggests that UGA, in addition to dictating the cessation of protein synthesis, also codes for selenocysteine in the universal genetic code.

Base Sequence↗
PubMed1991

An axial binding site in the Tetrahymena precursor RNA.

Previous studies allow the construction of three distinct models of the binding of G and arginine within the active site of the Tetrahymena self-splicing preribosomal precursor RNA. These models (base triple, axial I and axial II) are now distinguished by measurements on the specificity of RNAs with nucleotide substitutions at positions spanning the site. Because the semi-conserved unpaired nucleotide 263 has no effect on substrate or inhibitor selection by the Tetrahymena RNA we conclude that the axial I model is improbable. In contrast, data with substituted RNAs and nucleoside analogs suggest that nucleotide 265 makes a hydrogen bond with the substrate. Accordingly the active site appears axial because substrate contacts exist at more than one nucleotide on the 5' side of the P7 helix. The effects of this hydrogen bond are observable in cases where the donor or acceptor is on the RNA, whether nucleotide 265 is a purine or pyrimidine, or whether nucleotide 265 is mispaired, wobble paired or normally paired. This pattern is consistent with the axial II model. Molecular dynamics and energy minimization calculations lead to the same conclusions as these site-directed substitutions; the base triple and axial I models are unstable dynamically. Under thermal agitation, the third model site (axial II) is transformed to a related, but more stable structure, axial III. The axial III active site is characterized by the extrusion of the conserved bulged base 263 from the P7 helix, a semi-pocket for G base formed by stacking of nucleotide 262, and formation of all bonds to the G base originally proposed for both the base triple and axial II sites. Because of these hydrogen bonds the axial III site is also consistent with data on enzymatic specificity. The axial III model indicates an unforeseen capacity for pocket formation within the groove of an RNA helix, suggests that the site may be unusually flexible, and bears on a hypothesis concerning the origin of the genetic code.

Animals↗
PubMed1985

Computer generation and statistical analysis of a data bank of protein sequences translated from GenBank.

We describe PGtrans, a new and freely available protein sequence databank (2625 sequences, 554198 amino-acids). This data bank is routinely produced by automatic computer translation of the nucleotide sequence library GenBank. The information needed for the translation process (transcriptional orientation, location of coding regions, splice sites and pertinent genetic code) is gathered by the translation program through an "intelligent" scanning of the documentary field of each GenBank entry. Inconsistencies resulting in unexpected termination codons are detected and reported thus allowing the correction of data bank errors. PGtrans is intended as a tool for protein similarity searches. Its reasonable overall size (2 Moctets) makes it suitable for micro-computer environments. Up to date amino-acid composition data and relative abundances of di-, tri-, and tetra-peptides in proteins of known sequences are presented and discussed.

Amino Acid Sequence↗
PubMed2003

Intimate evolution of proteins. Proteome atomic content correlates with genome base composition.

Discerning the significant relations that exist within and among genome sequences is a major step toward the modeling of biopolymer evolution. Here we report the systematic analysis of the atomic composition of proteins encoded by organisms representative of each kingdoms. Protein atomic contents are shown to vary largely among species, the larger variations being observed for the main architectural component of proteins, the carbon atom. These variations apply to the bulk proteins as well as to subsets of ortholog proteins. A pronounced correlation between proteome carbon content and genome base composition is further evidenced, with high G+C genome content being related to low protein carbon content. The generation of random proteomes and the examination of the canonical genetic code provide arguments for the hypothesis that natural selection might have driven genome base composition.

Animals↗
PubMed2002

Exploring the limits of codon and anticodon size.

We previously employed a combinatorial approach to identify the most efficient suppressors of four-base codons in E. coli. We have now examined the suppression of two-, three-, four-, five-, and six-base codons with tRNAs containing 6-10 nt in their anticodon loops. We found that the E. coli translational machinery tolerates codons of 3-5 bases and that tRNAs with 6-10 nt anticodon loops can suppress these codons. However, N-length codons were found to prefer N + 4-length anticodon loops. Additionally, sequence preferences, including the requirement of Watson-Crick complementarity to the codon, were evident in the loops. These selections have yielded efficient suppressors of four-base and five-base codons for our ongoing efforts to expand the genetic code. They also highlight some of the parameters that underlie the fidelity of frame maintenance.

Anticodon↗
PubMed1992

Statistical evidence for remnants of the primordial code in the acceptor stem of prokaryotic transfer RNA.

The specificity of interaction of amino acids with triplets in the acceptor helix stem of tRNA was investigated by means of a statistical analysis of 1400 tRNA sequences. The imprint of a prototypic genetic code at position 3-5 of the acceptor helix was detected, but only for those major amino acids, glycine, alanine, aspartic acid, and valine, that are formed by spark discharges of simple gases in the laboratory. Although remnants of the code at position 3-5 are typical for tRNAs of archaebacteria, eubacteria, and chloroplasts, eukaryotes do not seem to contain this code, and mitochondria take up an intermediary position. A duplication mechanism for the transposition of the original 3-5 code toward its present position in the anticodon stem of tRNA is proposed. From this viewpoint, the mode of evolution of mRNA and functional ribosomes becomes more understandable.

Amino Acyl-tRNA Synthetases↗
PubMed1985

Induced fitting between a complex of four nucleotides and the cognate amino acid.

The conformation of the hydrogen-bonded complex of a trinucleoside diphosphate (anticodon bases), a nucleic acid base (discriminator base), and an amino acid is investigated. This complex has been named C4N (complex of the four nucleotides) by one of the authors. Concerning the aminoacylation of tRNA and the genetic code, it has been proposed that C4N accepts the cognate protein amino acid by the lock-and-key relationship. The purpose of the calculation is to investigate the conformational and energetic properties of C4N from the energy minimum principle. The calculation is carried out by using the empirical potential functions. Glycine, glutamine, and valine are taken as typical cases. The formation energies are estimated. It is shown that some conformational changes are induced in the anticodon trinucleoside diphosphate by the binding of the discriminator base. Conformational changes of C4N and the amino acid are also induced by the binding of the amino acid to C4N.

Amino Acids↗
PubMed1990

Somatic mutation, affinity maturation and the antibody repertoire: a computer model.

Somatic mutation has been implicated as a significant and possibly primary factor in the maturation of antibody affinity in the humoral immune response. B cells stimulated by antigen experience a hyper-mutation in the gene segments that code for the antigen-binding site of the antibody, creating antibody specificities that did not exist at the time of immunization. Although most of the mutations are likely to be disadvantageous, new specificities with a higher affinity for the antigen are sometimes created. These higher-affinity cells are preferentially selected for proliferation and eventual antibody secretion, resulting in a progressively higher average affinity over time. In this paper we present the results of an investigation of somatic mutation through the use of a computer model. At the basis of the model is a large repertoire of discrete antibodies and antigens, having three-dimensional structures, that exhibit properties similar to those of the real populations. The key factor is that the binding strength between any antibody/antigen pair can be calculated as a function of the complementarity of the (a) size, (b) shape and (c) functional groups that comprise the two structures. The created repertoires are imbedded in a dynamical system model of the immune response to directly evaluate the affect of somatic mutation on affinity maturation. We also present an expanded hypothesis of clonal selection and development to explain how the mutational restrictions imposed by the genetic code and the structure of the antibody repertoire, along with antigen concentration, affinity, and probabilistic factors may interact and contribute to the expansion of specific clones as the response develops over time.

Animals↗
PubMed1985

Sequence evolution of Drosophila mitochondrial DNA.

We have compared nucleotide sequences of corresponding segments of the mitochondrial DNA (mtDNA) molecules of Drosophila yakuba and Drosophila melanogaster, which contain the genes for six proteins and seven tRNAs. The overall frequency of substitution between the nucleotide sequences of these protein genes is 7.2%. As was found for mtDNAs from closely related mammals, most substitutions (86%) in Drosophila mitochondrial protein genes do not result in an amino acid replacement. However, the frequencies of transitions and transversions are approximately equal in Drosophila mtDNAs, which is in contrast to the vast excess of transitions over transversions in mammalian mtDNAs. In Drosophila mtDNAs the frequency of C----T substitutions per codon in the third position is 2.5 times greater among codons of two-codon families than among codons of four-codon families; this is contrary to the hypothesis that third position silent substitutions are neutral in regard to selection. In the third position of codons of four-codon families transversions are 4.6 times more frequent than transitions and A----T substitutions account for 86% of all transversions. Ninety-four percent of all codons in the Drosophila mtDNA segments analyzed end in A or T. However, as this alone cannot account for the observed high frequency of A----T substitutions there must be either a disproportionately high rate of A----T mutation in Drosophila mtDNA or selection bias for the products of A----T mutation. --Consideration of the frequencies of interchange of AGA and AGT codons in the corresponding D. yakuba and D. melanogaster mitochondrial protein genes provides strong support for the view that AGA specifies serine in the Drosophila mitochondrial genetic code.

Animals↗
PubMed1996

On evolutive systems and the initial evolution of structure and function.

As an instrument for the study of the early stages of evolution, we introduce evolutive systems, defined as systems that have the capacity to evolve given appropriate conditions in their environment. They consist of building blocks (e.g. monomers) that are either stable or in steady supply, and of transient assemblies (e.g. polymers) that are entities of great variety, some of which are capable of function. Evolution leads to the accumulation of structure within the transient assemblies during repeated cycles of disintegration (partial or total) and reassembly, on account of the selective advantages associated with transient assembly functions. Transient assemblies must be either inherently unstable or subject to disintegration by agents in their environment. Evolutive systems must have access to a negentropy input in the form of energy in packets larger than typical thermal energies. Reproduction, although not a prerequisite, greatly affects the capacity of evolutive systems to evolve, and thus can be expected to appear in an evolutive system if at all possible. Similarly, functions that require the expenditure of negentropy (for example mobility, breathing, circulation, sensing, communicating, etc.) are not prerequisites for evolution, but can be expected to become established in evolutive systems during evolution through the selective advantages that they confer. A computer-based evolutive automaton is used to explore possible evolutionary scenarios. In the presence of spatial and temporal inhomogeneities, one can construct a multitude of evolutionary scenarios through which various functions, such as the operation of genetic code, can become established within the evolutive automaton. This variety of possible evolutionary scenarios is all the more remarkable because the automaton does not include many important physical processes that would be present in a real system and would greatly multiply the number of possible evolutionary mechanisms and scenarios. Some evolutionary mechanisms are based on survival related selection, while others are based on generation related selection. Previously explored scenarios for the initiation of life have been based mostly on generation related selection. In this paper, we give particular emphasis to survival related selection which is more general in that it does apply to structures and functions related to reproduction but, unlike generation related selection, it is not limited to them. Some of the most basic features of terrestrial living systems can be seen either as prerequisite features of an evolutive system (such as the mortality of living organisms, instability of biological polymers, imperfect reproduction caused by mutations, and the need for a negentropy input) or as features that one can reasonably expect to become established in an evolutive system (such as reproduction and the multitude of living functions that require expenditure of negentropy). This suggests the possibility that an independent definition of living systems may not be necessary if features of living systems substantially overlap with features that one may expect to find in evolutive systems.

Animals↗
PubMed1988

A specific amino acid binding site composed of RNA.

A specific, reversible binding site for a free amino acid is detectable on the intron of the Tetrahymena self-splicing ribosomal precursor RNA. The site selects arginine among the natural amino acids, and prefers the L- to the D-amino acid. The dissociation constant is in the millimolar range, and amino acid binding is at or in the catalytic rG splicing substrate site. Occupation of the G site by L-arginine therefore inhibits splicing by inhibiting the binding of rG, without inhibition of later reactions in the splicing reaction sequence. Arginine binding specificity seems to be directed at the side chain and the guanidino radical, and the alpha-amino and carboxyl groups are dispensable for binding. The arginine site can be placed within the G site by structural homology, with consequent implications for RNA-amino acid interaction, for the origin of the genetic code, for control of RNA activities, and for further catalytic capabilities for RNA.

Animals↗