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PubMed1997

Genetic code synonym quotas and amino acid complexity: cutting the cost of proteins?

The synonym quotas within the genetic code for the 20 common amino acids are examined in relation to the ways in which these amino acids can be marshalled into different sets on the basis of shared physico-chemical properties. This reveals which shared properties are encouraged or discouraged during the course of protein evolution by the arrangement of the code. A dominant theme is that the synonym quotas are allocated in favour of small and chemically uncomplicated residues, and to the disadvantage of large and chemically prominent ones. From amongst the various measurements that can be considered to quantitatively express aspects of amino acid residue "size and complexity" (e.g. side chain volume, bulkness and formula weight), formula weight has the highest correlation with the synonym quota for each amino acid. However, the correlation is weak. A specially derived "size/complexity" scale for the amino acids based on their relative atomic composition improved the correlation only marginally. The existence of another weak correlation between the synonym quotas and the general amino acid composition of proteins prompted an investigation of the correlations between this composition and the previously considered amino acid properties. Again, the highest correlations are with amino acid formula weight and "size/complexity", but in this instance the correlations are high enough to be truly significant. It is suggested that the biased synonym quotas in the genetic code are intended to ensure that proteins as a whole maintain a certain amino acid composition, even to the extent that the quotas include compensatory biases to counter opposing influences upon this composition caused by the processes of natural selection for protein function. It is the need for these compensatory biases that prevents a simple correlation between the quotas and measures of amino acid complexity. The final outcome, in which amino acids are deployed in functional proteins in approximate proportion to their chemical complexity may serve both as a means of minimising the negative consequences of random genetic mutation (by reducing the chance appearance of the more "disruptive" types of side chain in proteins) and as a means of ensuring the most economic use of biosynthetic resources. According to this reasoning, the code is not a "frozen accident"; it is universally appropriate because it provides the best compromise that can be achieved between biosynthetic cost and biological return in respect of the rate of protein evolution.

Amino Acids↗
PubMed1997

On roads not taken in the evolution of protein catalysts: antibody steroid isomerases that use an enamine mechanism.

Reactive immunization has emerged as a new tool for the study of biological catalysis. A powerful application resulted in catalytic antibodies that use an enamine mechanism akin to that used by the class I aldolases. With regard to the evolution of enzyme mechanisms, we investigated the utility of an enamine pathway for the allylic rearrangement exemplified by Delta5-3-ketosteroid isomerase (KSI; EC 5.3.3.1). Our aldolase antibodies were found to catalyze the isomerization of both steroid model compounds and steroids. The kinetic and chemical studies showed that the antibodies afforded rate accelerations up to a factor of 10(4) by means of an enamine mechanism in which imine formation was the rate-determining step. In light of our observations and the enzyme studies by other workers, we suggest that an enamine pathway could have been an early, viable KSI mechanism. Although this pathway is amenable to optimization for increased catalytic power, it appears that certain factors precluded its evolution in known KSI enzymes.

Antibodies, Catalytic↗
PubMed1978

Attempts at simulating evolution by a computer: I. evolution of proteins under prebiotic conditions.

The effect of random mutations of five identical pentapeptides that have been inserted arbitrarily along a 100 amino acid-long protein chain has been studied by computer simulation. The method used was the application of mutation probability matrix for 2 PAMs of Dayhoff (1972) repeatedly to obtain the desired length of time. The results indicated that, given sufficient length of time, even the identical peptides could become drastically altered and in order to recognise them as stemming from the same origin one has to use reasonable statistical significance thresholds.

Amino Acid Sequence↗
PubMed2004

AdoMet radical proteins--from structure to evolution--alignment of divergent protein sequences reveals strong secondary structure element conservation.

Eighteen subclasses of S-adenosyl-l-methionine (AdoMet) radical proteins have been aligned in the first bioinformatics study of the AdoMet radical superfamily to utilize crystallographic information. The recently resolved X-ray structure of biotin synthase (BioB) was used to guide the multiple sequence alignment, and the recently resolved X-ray structure of coproporphyrinogen III oxidase (HemN) was used as the control. Despite the low 9% sequence identity between BioB and HemN, the multiple sequence alignment correctly predicted all but one of the core helices in HemN, and correctly predicted the residues in the enzyme active site. This alignment further suggests that the AdoMet radical proteins may have evolved from half-barrel structures (alphabeta)4 to three-quarter-barrel structures (alphabeta)6 to full-barrel structures (alphabeta)8. It predicts that anaerobic ribonucleotide reductase (RNR) activase, an ancient enzyme that, it has been suggested, serves as a link between the RNA and DNA worlds, will have a half-barrel structure, whereas the three-quarter barrel, exemplified by HemN, will be the most common architecture for AdoMet radical enzymes, and fewer members of the superfamily will join BioB in using a complete (alphabeta)8 TIM-barrel fold to perform radical chemistry. These differences in barrel architecture also explain how AdoMet radical enzymes can act on substrates that range in size from 10 atoms to 608 residue proteins.

Amino Acid Sequence↗
PubMed1993

The evolution of proteins from random amino acid sequences. I. Evidence from the lengthwise distribution of amino acids in modern protein sequences.

We examine in this paper one of the expected consequences of the hypothesis that modern proteins evolved from random heteropeptide sequences. Specifically, we investigate the lengthwise distributions of amino acids in a set of 1,789 protein sequences with little sequence identify using the run test statistic (ro) of Mood (1940, Ann. Math. Stat. 11, 367-392). The probability density of ro for a collection of random sequences has mean = 0 and variance = 1 [the N(0,1) distribution] and can be used to measure the tendency of amino acids of a given type to cluster together in a sequence relative to that of a random sequence. We implement the run test using binary representations of protein sequences in which the amino acids of interest are assigned a value of 1 and all others a value of 0. We consider individual amino acids and sets of various combinations of them based upon hydrophobicity (4 sets), charge (3 sets), volume (4 sets), and secondary structure propensity (3 sets). We find that any sequence chosen randomly has a 90% or greater chance of having a lengthwise distribution of amino acids that is indistinguishable from the random expectation regardless of amino acid type. We regard this as strong support for the random-origin hypothesis. However, we do observe significant deviations from the random expectation as might be expected after billions years of evolution. Two important global trends are found: (1) Amino acids with a strong alpha-helix propensity show a strong tendency to cluster whereas those with beta-sheet or reverse-turn propensity do not. (2) Clustered rather than evenly distributed patterns tend to be preferred by the individual amino acids and this is particularly so for methionine. Finally, we consider the problem of reconciling the random nature of protein sequences with structurally meaningful periodic "patterns" that can be detected by sliding-window, autocorrelation, and Fourier analyses. Two examples, rhodopsin and bacteriorhodopsin, show that such patterns are a natural feature of random sequences.

Amino Acid Sequence↗
PubMed1996

The neutral theory is dead. Long live the neutral theory.

The neutral theory of molecular evolution has been instrumental in organizing our thinking about the nature of evolutionary forces shaping variation at the DNA level. More importantly, it has provided empiricists with a strong set of testable predictions and hence, a useful null hypothesis against which to test for the presence of selection. Evidence indicates that the neutral theory cannot explain key features of protein evolution nor patterns of biased codon usage in certain species. Whereas we now have a reasonable model of selection acting on synonymous changes in Drosophila, protein evolution remains poorly understood. Despite limitations in the applicability of the neutral theory, it is likely to remain an integral part of the quest to understand molecular evolution.

Animals↗
PubMed1996

Exon shuffling and other ways of module exchange.

Thanks to recent improvements in techniques used for the detection of homologies, it is now clear that module exchange played a major role in protein evolution. Analysis of the genes of various modular proteins has identified a large number of cases where gene assembly was facilitated by intronic recombination--i.e., the proteins were formed by exon shuffling. Studies of the principles and mechanistic details of exon shuffling, however, revealed that this powerful evolutionary mechanism could become significant only after the appearance of spliceosomal introns typical of higher eukaryotes. Although exon shuffling is the most efficient way of constructing modular proteins, recent studies on the evolution of multidomain proteins of prokaryotes emphasize that intronic recombination is not an absolute prerequisite of module exchange.

Animals↗
PubMed2006

indel-Seq-Gen: a new protein family simulator incorporating domains, motifs, and indels.

Reconstructing the evolutionary history of protein sequences will provide a better understanding of divergence mechanisms of protein superfamilies and their functions. Long-term protein evolution often includes dynamic changes such as insertion, deletion, and domain shuffling. Such dynamic changes make reconstructing protein sequence evolution difficult and affect the accuracy of molecular evolutionary methods, such as multiple alignments and phylogenetic methods. Unfortunately, currently available simulation methods are not sufficiently flexible and do not allow biologically realistic dynamic protein sequence evolution. We introduce a new method, indel-Seq-Gen (iSG), that can simulate realistic evolutionary processes of protein sequences with insertions and deletions (indels). Unlike other simulation methods, iSG allows the user to simulate multiple subsequences according to different evolutionary parameters, which is necessary for generating realistic protein families with multiple domains. iSG tracks all evolutionary events including indels and outputs the "true" multiple alignment of the simulated sequences. iSG can also generate a larger sequence space by allowing the use of multiple related root sequences. With all these functions, iSG can be used to test the accuracy of, for example, multiple alignment methods, phylogenetic methods, evolutionary hypotheses, ancestral protein reconstruction methods, and protein family classification methods. We empirically evaluated the performance of iSG against currently available methods by simulating the evolution of the G protein-coupled receptor and lipocalin protein families. We examined their true multiple alignments, reconstruction of the transmembrane regions and beta-strands, and the results of similarity search against a protein database using the simulated sequences. We also presented an example of using iSG for examining how phylogenetic reconstruction is affected by high indel rates.

Carrier Proteins↗
PubMed1999

Within- and between-species DNA sequence variation and the 'footprint' of natural selection.

Extensive DNA data emerging from genome-sequencing projects have revitalized interest in the mechanisms of molecular evolution. Although the contribution of natural selection at the molecular level has been debated for over 30 years, the relevant data and appropriate statistical methods to address this issue have only begun to emerge. This paper will first present the predominant models of neutral, nearly neutral, and adaptive molecular evolution. Then, a method to identify the role of natural selection in molecular evolution by comparing within- and between-species DNA sequence variation will be presented. Computer simulations show that such methods are powerful for detecting even very weak selection. Examination of DNA variation data within and between Drosophila species suggests that 'silent' sites evolve under a balance between weak selection and genetic drift. Simulated data also show that sequence comparisons are a powerful method to detect adaptive protein evolution, even when selection is weak or affects a small fraction of nucleotide sites. In the Drosophila data examined, positive selection appears to be a predominant force in protein evolution.

DNA↗
PubMed1994

Codon reiteration and the evolution of proteins.

Sequence data banks have been searched for proteins possessing uninterrupted reiterations of any amino acid. Hydrophilic amino acids, and particularly glutamine, account for a large proportion of the longer reiterants. In the genes for these proteins, the most common reiterants are those that contain poly(CAG), even out-of-frame or, to a lesser degree, those that contain repeated doublets of CA, AG, or GC. The preferential generation of such reiterants requires that DNA strand-specific signals predispose to reiteration and thus to the extension of coding regions.

Amino Acid Sequence↗
PubMed1978

Evolution of ribosomal proteins in Enterobacteriaceae.

The evolution of ribosomal proteins of about 70 bacterial strains belonging to the family Enterobacteriaceae has been studied by use of previously reported data (S. Osawa, T. Itoh, and E. Otaka, J. Bacteriol. 107:168-178, 1971) and those obtained in this paper. The proximity of the bacteria was quantified by co-chromatographing the differentially labeled ribosomal proteins from two strains on a column of carboxymethyl cellulose in various combinations. The were then classified into 12 groups (=species?) according to their ribosomal protein compositions and were placed in a phylogenic tree.

Bacterial Proteins↗
PubMed1999

Crystal structure of human T cell leukemia virus type 1 gp21 ectodomain crystallized as a maltose-binding protein chimera reveals structural evolution of retroviral transmembrane proteins.

Retroviral entry into cells depends on envelope glycoproteins, whereby receptor binding to the surface-exposed subunit triggers membrane fusion by the transmembrane protein (TM) subunit. We determined the crystal structure at 2.5-A resolution of the ectodomain of gp21, the TM from human T cell leukemia virus type 1. The gp21 fragment was crystallized as a maltose-binding protein chimera, and the maltose-binding protein domain was used to solve the initial phases by the method of molecular replacement. The structure of gp21 comprises an N-terminal trimeric coiled coil, an adjacent disulfide-bonded loop that stabilizes a chain reversal, and a C-terminal sequence structurally distinct from HIV type 1/simian immunodeficiency virus gp41 that packs against the coil in an extended antiparallel fashion. Comparison of the gp21 structure with the structures of other retroviral TMs contrasts the conserved nature of the coiled coil-forming region and adjacent disulfide-bonded loop with the variable nature of the C-terminal ectodomain segment. The structure points to these features having evolved to enable the dual roles of retroviral TMs: conserved fusion function and an ability to anchor diverse surface-exposed subunit structures to the virion envelope and infected cell surface. The structure of gp21 implies that the N-terminal fusion peptide is in close proximity to the C-terminal transmembrane domain and likely represents a postfusion conformation.

Amino Acid Sequence↗
PubMed2007

Occurrence of protein structure elements in conserved sequence regions.

BACKGROUND: Conserved protein sequence regions are extremely useful for identifying and studying functionally and structurally important regions. By means of an integrated analysis of large-scale protein structure and sequence data, structural features of conserved protein sequence regions were identified. RESULTS: Helices and turns were found to be underrepresented in conserved regions, while strands were found to be overrepresented. Similar numbers of loops were found in conserved and random regions. CONCLUSION: These results can be understood in light of the structural constraints on different secondary structure elements, and their role in protein structural stabilization and topology. Strands can tolerate fewer sequence changes and nonetheless keep their specific shape and function. They thus tend to be more conserved than helices, which can keep their shape and function with more changes. Loop behavior can be explained by the presence of both constrained and freely changing loops in proteins. Our detailed statistical analysis of diverse proteins links protein evolution to the biophysics of protein thermodynamic stability and folding. The basic structural features of conserved sequence regions are also important determinants of protein structure motifs and their function.

Amino Acid Sequence↗
PubMed2005

Loss of linkage disequilibrium and accelerated protein divergence in duplicated cytomegalovirus chemokine genes.

Human CMV (hCMV) encodes several captured chemokine ligand and chemokine receptor genes that may play a role in immune evasion. The adjacent viral alpha-chemokine genes UL146 and UL147 appear to have duplicated subsequent to a recent gene capture event. Sequence data from multiple hCMV isolates suggest accelerated protein evolution in one of the paralogues, UL146. Extensive sequence variation was noted throughout the more rapidly evolving paralogue, although significant variation was also observed within the more slowly evolving gene, especially within a region corresponding to a possible signal peptide. In contrast to the haplotype structure observed for other hCMV genes, the distribution of nucleotide variants indicates a marked loss of linkage disequilibrium within UL146 and to a lesser extent UL147. Despite evidence of accelerated protein evolution, the rate of nonsynonymous to synonymous substitutions (d(N)/d(S)) in the more rapidly evolving paralogue was not indicative of neutral evolution, but of moderate purifying selection. The data presented here provides a unique opportunity to study the mechanisms by which a recently duplicated pair of genes has diverged and suggests a role for recombination.

Animals↗
PubMed2004

Effects of gene expression on molecular evolution in Arabidopsis thaliana and Arabidopsis lyrata.

We analyzed the complete genome sequence of Arabidopsis thaliana and sequence data from 83 genes in the outcrossing A. lyrata, to better understand the role of gene expression on the strength of natural selection on synonymous and replacement sites in Arabidopsis. From data on tRNA gene abundance, we find a good concordance between codon preferences and the relative abundance of isoaccepting tRNAs in the complete A. thaliana genome, consistent with models of translational selection. Both EST-based and new quantitative measures of gene expression (MPSS) suggest that codon preferences derived from information on tRNA abundance are more strongly associated with gene expression than those obtained from multivariate analysis, which provides further support for the hypothesis that codon bias in Arabidopsis is under selection mediated by tRNA abundance. Consistent with previous results, analysis of protein evolution reveals a significant correlation between gene expression level and amino acid substitution rate. Analysis by MPSS estimates of gene expression suggests that this effect is primarily the result of a correlation between the number of tissues in which a gene is expressed and the rate of amino acid substitution, which indicates that the degree of tissue specialization may be an important determinant of the rate of protein evolution in Arabidopsis.

Arabidopsis↗
PubMed2003

Structure, diversity, and evolution of protein toxins from spore-forming entomopathogenic bacteria.

Gram-positive spore-forming entomopathogenic bacteria can utilize a large variety of protein toxins to help them invade, infect, and finally kill their hosts, through their action on the insect midgut. These toxins belong to a number of homology groups containing a diversity of protein structures and modes of action. In many cases, the toxins consist of unique folds or novel combinations of domains having known protein folds. Some of the toxins display a similar structure and mode of action to certain toxins of mammalian pathogens, suggesting a common evolutionary origin. Most of these toxins are produced in large amounts during sporulation and have the remarkable feature that they are localized in parasporal crystals. Localization of multiple toxin-encoding genes on plasmids together with mobilizable elements enables bacteria to shuffle their armory of toxins. Recombination between toxin genes and sequence divergence has resulted in a wide range of host specificities.

Bacillus↗
PubMed2003

Adaptation shapes patterns of genome evolution on sexual and asexual chromosomes in Drosophila.

What advantage might sexual recombination confer? Population genetics theory predicts that asexual genomes are less efficient at eliminating deleterious mutations and incorporating beneficial alleles. Here, I compare patterns of genome evolution in a 40-kb gene-rich region on homologous neo-sex chromosomes of Drosophila miranda. Genes on the non-recombining neo-Y show various signs of degeneration, including transposable-element insertions, frameshift mutations and a higher rate of amino-acid substitution. In contrast, loci on the recombining neo-X show intact open reading frames and generally low rates of amino-acid substitution. One exceptional gene on the neo-X shows evidence for adaptive protein evolution, affecting patterns of variability at neighboring regions along the chromosome. These findings illustrate the limits to natural selection in an asexual genome. Deleterious mutations, including repetitive DNA, accumulate on a non-recombining chromosome, whereas rapid protein evolution due to positive selection is confined to the recombining homolog.

Animals↗