Ten unorthodox perspectives on evolution prompted by comparative population genetic findings on mitochondrial DNA.
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Animals↗
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Results for “Genetic code evolution”
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An interactive visualization tool to explore the biophysical properties of amino acids and their contribution to substitution matrices.
BACKGROUND: Quantitative descriptions of amino acid similarity, expressed as probabilistic models of evolutionary interchangeability, are central to many mainstream bioinformatic procedures such as sequence alignment, homology searching, and protein structural prediction. Here we present a web-based, user-friendly analysis tool that allows any researcher to quickly and easily visualize relationships between these bioinformatic metrics and to explore their relationships to underlying indices of amino acid molecular descriptors. RESULTS: We demonstrate the three fundamental types of question that our software can address by taking as a specific example the connections between 49 measures of amino acid biophysical properties (e.g., size, charge and hydrophobicity), a generalized model of amino acid substitution (as represented by the PAM74-100 matrix), and the mutational distance that separates amino acids within the standard genetic code (i.e., the number of point mutations required for interconversion during protein evolution). We show that our software allows a user to recapture the insights from several key publications on these topics in just a few minutes. CONCLUSION: Our software facilitates rapid, interactive exploration of three interconnected topics: (i) the multidimensional molecular descriptors of the twenty proteinaceous amino acids, (ii) the correlation of these biophysical measurements with observed patterns of amino acid substitution, and (iii) the causal basis for differences between any two observed patterns of amino acid substitution. This software acts as an intuitive bioinformatic exploration tool that can guide more comprehensive statistical analyses relating to a diverse array of specific research questions.
Amino Acid Sequence↗
Alterations with age in the informational storage and flow systems of the mammalian cell.
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Aging↗
Mitochondrial DNA: advances, problems, and goals.
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Animals↗
The origin of life and the evolution of macromolecules.
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Biological Evolution↗
Mitochondrial evolution: organization and regulation of mitochondrial genes.
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Animals↗
Eucaryotic codes.
This article is a review of the rules used by eucaryotic cells to translate a nuclear messenger RNA into a polypeptide chain. The recent observation that these rules are not identical in two species of a same phylum indicates that they have changed during the course of evolution. Possible scenarios for such changes are presented.
Animals↗
From replicators to reproducers: the first major transitions leading to life.
A classification of replicators is proposed: life depends on replicators that can exist in an indefinitely large number of forms (unlimited heredity), and whose replication is modular rather than processive. The first template replicators would have increased at a rate less than exponential, because of self-inhibition arising from molecular complementarity. The result would be the survival of a varied population of replicators, rather than the victory of one type. This variability was important, because inaccurate copying meant that individual replicators were small (Eigen's paradox). The origin of cooperation between replicators, and the problem of molecular parasites, are discussed. Today, cooperation depends on cellular compartments, and on the linkage of genes on chromosomes, but we argue that at an earlier stage surface metabolism, in which replicators react only with neighbours, was important. The origin of translation and the genetic code is discussed. The essential step is the binding of amino acids to specific oligonucleotides. We suggest that this binding originated, not as a step in protein synthesis, but in the formation of coenzymes in a metabolically complex RNA world. Existing organisms are not replicators (that is, new individuals do not arise by copying), but reproducers that contain replicators. We outline Griesemer's concept of a reproducer, which brings out the essential role of development in evolution.
Animals↗
Digital genetics: unravelling the genetic basis of evolution.
Digital genetics, or the genetics of digital organisms, is a new field of research that has become possible as a result of the remarkable power of evolution experiments that use computers. Self-replicating strands of computer code that inhabit specially prepared computers can mutate, evolve and adapt to their environment. Digital organisms make it easy to conduct repeatable, controlled experiments, which have a perfect genetic 'fossil record'. This allows researchers to address fundamental questions about the genetic basis of the evolution of complexity, genome organization, robustness and evolvability, and to test the consequences of mutations, including their interaction and recombination, on the fate of populations and lineages.
Computational Biology↗
RNA splicing as an error-screening mechanism.
Eukaryote nuclear genes are generally split into coding (exon) and noncoding (intron) regions. During the formation of messenger RNA the introns are precisely excised and the exons religated. A widely accepted explanation for the split structure of eukaryotic genes is that proposed by Gilbert who hypothesized that the division of coding information into small units speeded up the rate of protein evolution by allowing for the recombination of the independent peptide domains encoded by these units ("exon shuffling"). However it has recently become clear that the exon:intron structure of genes most likely preceded the uninterrupted form. This makes it difficult to accept Gilbert's argument as it applies to the origin(s) of split genes since early genes were very inaccurately copied and a highly error-prone system needs less variation not more. Here I propose that split genes and the concomitant process of RNA splicing arose as a mechanism for maintaining the stability of the genetic information in the face of a high level of noise in the gene copier mechanism.
Base Sequence↗
Thermosynthesis as energy source for the RNA World: a model for the bioenergetics of the origin of life.
The thermosynthesis concept, biological free energy gain from thermal cycling, is combined with the concept of the RNA World. The resulting overall origin of life model suggests new explanations for the emergence of the genetic code and the ribosome. It is proposed that the first protein named pF(1) obtained the energy to support the RNA World by a thermal variation of F(1) ATP synthase's binding change mechanism. It is further proposed that this pF(1) was the single translation product during the emergence of the genetic machinery. During thermal cycling pF(1) condensed many substrates with broad specificity, yielding NTPs and randomly constituted protein and RNA libraries that contained self-replicating RNA. The smallness of pF(1) permitted the emergence of the genetic machinery by selection of RNA that increased the fraction of pF(1)s in the protein library: (1) an amino acids concatenating progenitor of rRNA bound to (2) a chain of 'positional tRNAs' linked by mutual recognition, and yielded a pF(1) (or its main motif); this positional tRNA set gradually evolved to a set of regular tRNAs functioning according to the genetic code, with concomitant emergence of (3) an mRNA coding for pF(1).
Energy Metabolism↗
Nucleotidic cofactors and the origin of the genetic code.
In this article it is suggested that the first coding system started from specific interactions between the nucleotide part of nucleotidic cofactors and enzymes. These interactions generated a first primitive code of four words of one letter each for the four primittive amino acids (phenylalanine, lysine, glycine and proline); when the triplet code (which allowed the integration of 20 amino acids into proteins) progressively appeared, it must have been modulated by the existence of this first coding system.
Base Sequence↗
Self-organization of genetic coding.
The self-organization of genetic coding is studied in a simple model system which uses the products of translation as catalysts for the process. The system studied contains protein molecules chosen from a sequence space of high dimension. Catalysts which assign amino acids to codons are chosen in such a way that a random selection of proteins synthesizes further proteins randomly. Under some circumstances, dictated by the genetic information supplied to the system and the manner in which protein function depends on protein sequence, the state of random synthesis is unstable. The system then evolves spontaneously to a new state in which proteins synthesize further proteins in an ordered fashion, typically executing the rules of a simple code for the assignment of amino acids to codons. For some embeddings of protein functions in the protein sequence space, the domains of stability of the ordered and disordered states are calculated. Computer simulation verify that coding self-organization occurs in a variety of systems of the sort studied. Coding self-organization among catalysts which recognize genetic information is a high order co-operative selection process which provides the link between genotype and phenotype needed for the Darwinian evolution of complex biochemical systems.
Amino Acids↗
Mitochondrial DNA of the coral Sarcophyton glaucum contains a gene for a homologue of bacterial MutS: a possible case of gene transfer from the nucleus to the mitochondrion.
The nucleotide sequences of two segments of 6,737 ntp and 258 nto of the 18.4-kb circular mitochondrial (mt) DNA molecule of the soft coral Sarcophyton glaucum (phylum Cnidaria, class Anthozoa, subclass Octocorallia, order Alcyonacea) have been determined. The larger segment contains the 3' 191 ntp of the gene for subunit 1 of the respiratory chain NADH dehydrogenase (ND1), complete genes for cytochrome b (Cyt b), ND6, ND3, ND4L, and a bacterial MutS homologue (MSH), and the 5' terminal 1,124 ntp of the gene for the large subunit rRNA (1-rRNA). These genes are arranged in the order given and all are transcribed from the same strand of the molecule. The smaller segment contains the 3' terminal 134 ntp of the ND4 gene and a complete tRNA(f-Met) gene, and these genes are transcribed in opposite directions. As in the hexacorallian anthozoan, Metridium senile, the mt-genetic code of S. glaucum is near standard: that is, in contrast to the situation in mt-genetic codes of other invertebrate phyla, AGA and AGG specify arginine, and ATA specifies isoleucine. However, as appears to be universal for metazoan mt-genetic codes, TGA specifies tryptophan rather than termination. Also, as in M. senile the mt-tRNA(f-Met) gene has primary and secondary structural features resembling those of Escherichia coli initiator tRNA, including standard dihydrouridine and T psi C loop sequences, and a mismatched nucleotide pair at the top of the amino-acyl stem. The presence of a mutS gene homologue, which has not been reported to occur in any other known mtDNA, suggests that there is mismatch repair activity in S. glaucum mitochondria. In support of this, phylogenetic analysis of MutS family protein sequences indicates that the S. glaucum mtMSH protein is more closely related to the nuclear DNA-encoded mitochondrial mismatch repair protein (MSH1) of the yeast Saccharomyces cerevisiae than to eukaryotic homologues involved in nuclear function, or to bacterial homologues. Regarding the possible origin of the S. glaucum mtMSH gene, the phylogenetic analysis results, together with comparative base composition considerations, and the absence of an MSH gene in any other known mtDNA best support the hypothesis that S. glaucum mtDNA acquired the mtMSH gene from nuclear DNA early in the evolution of octocorals. The presence of mismatch repair activity in S. glaucum mitochondria might be expected to influence the rate of evolution of this organism's mtDNA.
Adenosine Triphosphatases↗
Mechanisms by which eucaryotic genes evolve.
This paper reviews our current efforts to understand the evolutionary origin of the ovomucoid gene. Sequence analyses have suggested that introns were present in the primordial ovomucoid gene before birds and mammals diverged, about three hundred million years ago. Our work suggests that the present ovomucoid gene has evolved from a primordial ovomucoid gene by two separate intragenic duplications followed by the addition of a final segment which codes for a secretory signal sequence. The three domains of the secreted peptide and also the signal sequence, are constructed by an apparent assembly of exons which code for individual peptide segments. The exact position of introns within the ovomucoid gene has been defined and the results support the theory that introns separate gene segments that code for functional domains of proteins and provide insight into the manner by which eucaryotic genes were constructed during the process of evolution.
Amino Acid Sequence↗
Characterization of serine and leucine tRNAs in an asporogenic yeast Candida cylindracea and evolutionary implications of genes for tRNA(Ser)CAG responsible for translation of a non-universal genetic code.
Five serine and three leucine isoaceptor tRNAs were purified from the asporogenic yeast Candida cylindracea, in which codon CUG is translated as serine instead of leucine, and their primary structures were determined. From the wobble hypothesis, it was assumed that one of the tRNA(Leu) species (Leu1), with the anticodon CmAA, corresponded to the UUG leucine codon, and that the remaining two leucine tRNAs (Leu2 and Leu3), with the same IAG anticodon sequence would decode the CUU, CUC and CUA codons as leucine, but not the CUG codon; this was clarified by an in vitro translation experiment with C.cylindracea using synthetic mRNAs containing the CUA or CUG codons. One of the serine tRNAs (Ser1) has already been demonstrated to have the anticodon CAG and to be responsible for translation of the codon CUG in C.cylindracea. Three of the other species of tRNA(Ser) (Ser2,3 and 4), with the anticodon sequences cm5UGA, IGA and CGA, can translate all four codons in the UCN codon box, while the remaining species (Ser5), with the anticodon GCU, corresponds to AGU and AGC serine codons. The gene sequences for these five serine and three leucine tRNAs were also determined, with the finding that only tRNA(Ser)CAG (Ser1) has an intron. At least five different types of tRNA(Ser)CAG genes exist in the genome of C.cylindracea. The nucleotide sequences of the flanking regions of these tRNA(Ser)CAG genes indicated that the tRNA(Ser)CAG gene has duplicated at least three times on the genome. The existence of multiple genes for tRNA(Ser)CAG on the genome may account for the observation that codon CUG is used very frequently in C.cylindracea. All of these tRNASerCAG genes contain the CCA sequence in their 3' termini, suggesting the possibility that during their multiplication process in the evolution of the C.cylindracea genome, the tRNA(Ser)CAG molecule was integrated into DNA via reverse transcription.
Base Sequence↗
Complex-irreversibility and evolution.
Both, irreversibility and evolution, imply order in time. It is argued that the only possible concept of time is a 'system-specific time', and that order in time is convertible into order in space and vice-versa. While life-less, complex systems are irreversible because of their complexity and, hence, not repeatable, living systems are reproduced by irreversible copy-reproduction and by coding. This mode of reproduction results of necessity in an arrow of time of growth and increasing complexity with death as its antagonist, and in obligatory spatial asymmetry. This arrow of increasing organic complexity is simultaneous with, and independent of, the arrow of increasing entropy. - A generalized, organic hierarchy is proposed as the model to study higher evolution. This hierarchy reproduces itself by differential rates of reproduction of its subunits within and between the various hierarchical levels of organization. Phylogenetic change is brought about by a change in this hierarchy's specific phase pattern of growth. Continuous and discrete organization is defined, and it is shown that specific relations between continuous and discrete levels within the hierarchy result in accumulation of neutral alleles. This accumulation is due to complex-irreversibility and causes genetic stabilisation, i.e. heritability, of the species-specific morphology of organisms.
Animals↗
Rates of transition and transversion in coding sequences since the human-rodent divergence.
Protein-coding sequences of 337 human genes were compared with those of homologous genes from rodent (mouse or rat). A composite alignment containing 477,189 nucleotide positions was constructed, and 21,570 amino acid replacements were inferred. The rates of transitional and transversional silent substitutions in fourfold degenerate sites are estimated as 1.71 x 10(-9) and 1.22 x 10(-9) site -1 year -1, respectively. Rates of substitutions in replacement sites, subject to selective constraints mediated by the genetic code, are lower, but also reflect a transitional bias. The amino acid exchange rejected least often during evolution is Asp/Glu, which is fixed at 30% the rate of transversions in silent sites. The most mutable amino acids in this survey are threonine and serine; serine coded by AGY is more mutable than serine coded by TCN. A scoring matrix for evaluating amino acid similarity was derived from this study.
Amino Acid Sequence↗