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PubMed2006

Evaluation of whether accelerated protein evolution in chordates has occurred before, after, or simultaneously with gene duplication.

Gene duplication and loss are predicted to be at least of the order of the substitution rate and are key contributors to the development of novel gene function and overall genome evolution. Although it has been established that proteins evolve more rapidly after gene duplication, we were interested in testing to what extent this reflects causation or association. Therefore, we investigated the rate of evolution prior to gene duplication in chordates. Two patterns emerged; firstly, branches, which are both preceded by a duplication and followed by a duplication, display an elevated rate of amino acid replacement. This is reflected in the ratio of nonsynonymous to synonymous substitution (mean nonsynonymous to synonymous nucleotide substitution rate ratio [Ka:Ks]) of 0.44 compared with branches preceded by and followed by a speciation (mean Ka:Ks of 0.23). The observed patterns suggest that there can be simultaneous alteration in the selection pressures on both gene duplication and amino acid replacement, which may be consistent with co-occurring increases in positive selection, or alternatively with concurrent relaxation of purifying selection. The pattern is largely, but perhaps not completely, explained by the existence of certain families that have elevated rates of both gene duplication and amino acid replacement. Secondly, we observed accelerated amino acid replacement prior to duplication (mean Ka:Ks for postspeciation preduplication branches was 0.27). In some cases, this could reflect adaptive changes in protein function precipitating a gene duplication event. In conclusion, the circumstances surrounding the birth of new proteins may frequently involve a simultaneous change in selection pressures on both gene-copy number and amino acid replacement. More precise modeling of the relative importance of preduplication, postduplication, and simultaneous amino acid replacement will require larger and denser genomic data sets from multiple species, allowing simultaneous estimation of lineage-specific fluctuations in mutation rates and adaptive constraints.

Amino Acid Substitution↗
PubMed2004

Leptin receptor isoform 219.1: an example of protein evolution by LINE-1-mediated human-specific retrotransposition of a coding SVA element.

Phylogenetically new insertions of repetitive sequences may contribute to genome evolution by altering the function of preexisting proteins. One example is the SVA sequence, which forms the C-terminal coding exon of the human leptin receptor isoform 219.1. Here, we report that the SVA insertion into the LEPR locus has occurred after divergence of humans and chimpanzees. The SVA element was inserted into a Hal-1/LINE element present in all monkeys and apes tested. Structural features point toward an integration event that was mediated by the L1 protein machinery acting in trans. Thus, our findings add evidence to the hypothesis that retrotransposition events are a driving force in genomic evolution and that the presence or absence of specific retroelements are one distinguishing feature that separates humans from chimpanzees.

Amino Acid Sequence↗
PubMed2006

Protein evolution: causes of trends in amino-acid gain and loss.

Understanding how proteins evolve is important for determining the molecular basis of adaptation, for inferring phylogenies and for engineering novel proteins. It has been suggested that some amino acids were incorporated into the genetic code more recently than others and, after comparing pairs of closely related genomes, Jordan et al. report that 'recent' amino acids are becoming more common. They argue that this process has been going on since the genetic code first evolved to encompass all 20 amino acids. Here we provide evidence that the patterns observed conform with standard, nearly neutral theoretical expectations and require no new explanation. This reinforces the need for caution in the interpretation of results derived from closely related taxa.

Amino Acids↗
PubMed2004

Protein evolution by codon-based random deletions.

A method to delete in-phase codons throughout a defined target region of a gene has been developed. This approach, named the codon-based random deletion (COBARDE) method, is able to delete complete codons in a random and combinatorial mode. Robustness, automation and fine-tuning of the mutagenesis rate are essential characteristics of the method, which is based on the assembly of oligonucleotides and on the use of two transient orthogonal protecting groups during the chemical synthesis. The performance of the method for protein function evolution was demonstrated by changing the substrate specificity of TEM-1 beta-lactamase. Functional ceftazidime-resistant beta-lactamase variants containing several deleted residues inside the catalytically important omega-loop region were found. The results show that the COBARDE method is a useful new molecular tool to access previously unexplorable sequence space.

Amino Acids↗
PubMed2001

Analyzing site heterogeneity during protein evolution.

New computational models of the kinetics of natural site substitutions in proteins are described based on the underlying physical chemical properties of the amino acids. The corresponding reduction in the number of adjustable parameters allows us to analyze site-heterogeneity. Applying this evolutionary model to various data sets allows us to identify the important factors constraining molecular evolution, providing insight into the relationship between amino acid properties and protein structure.

Amino Acid Substitution↗
PubMed2005

Apparent trends of amino Acid gain and loss in protein evolution due to nearly neutral variation.

It has recently been claimed that certain amino acids have been increasing in frequency in all living organisms for most of the history of life on earth, while other amino acids have been decreasing in frequency. Three lines of evidence have been offered for this assertion, but each has a more plausible alternative interpretation. Here I show that unequal patterns of gains and losses for particular pairs of amino acids (such as more leucine --> phenylalanine than phenylalanine --> leucine substitutions in humans and chimpanzees since they split from a common ancestor) are consistent with a simple neutral model at equilibrium amino acid frequencies. Unequal numbers of gains and losses for particular amino acids (such as more gains than losses of cysteine) are shown by simulations to be consistent with a model of nearly neutral evolution. Unequal numbers of gains and losses for particular amino acids in human polymorphism data are shown by simulations to be explainable by the nearly neutral model as well. In a comparison of protein sequences from four strains of Escherichia coli, polarized by one outgroup strain of Salmonella, the disparity in number of gains and losses for particular amino acids is strong in terminal branches but weaker or nonexistent in internal branches, which is inconsistent with the universal trend model but as expected under the nearly neutral model.

Amino Acid Substitution↗
PubMed2005

A statistical analysis of random mutagenesis methods used for directed protein evolution.

We have developed a statistical method named MAP (mutagenesis assistant program) to equip protein engineers with a tool to develop promising directed evolution strategies by comparing 19 mutagenesis methods. Instead of conventional transition/transversion bias indicators as benchmarks for comparison, we propose to use three indicators based on the subset of amino acid substitutions generated on the protein level: (1) protein structure indicator; (2) amino acid diversity indicator with a codon diversity coefficient; and (3) chemical diversity indicator. A MAP analysis for a single nucleotide substitution was performed for four genes: (1) heme domain of cytochrome P450 BM-3 from Bacillus megaterium (EC 1.14.14.1); (2) glucose oxidase from Aspergillus niger (EC 1.1.3.4); (3) arylesterase from Pseudomonas fluorescens (EC 3.1.1.2); and (4) alcohol dehydrogenase from Saccharomyces cerevisiae (EC 1.1.1.1). Based on the MAP analysis of these four genes, 19 mutagenesis methods have been evaluated and criteria for an ideal mutagenesis method have been proposed. The statistical analysis showed that existing gene mutagenesis methods are limited and highly biased. An average amino acid substitution per residue of only 3.15-7.4 can be achieved with current random mutagenesis methods. For the four investigated gene sequences, an average fraction of amino acid substitutions of 0.5-7% results in stop codons and 4.5-23.9% in glycine or proline residues. An average fraction of 16.2-44.2% of the amino acid substitutions are preserved, and 45.6% (epPCR method) are chemically different. The diversity remains low even when applying a non-biased method: an average of seven amino acid substitutions per residue, 2.9-4.7% stop codons, 11.1-16% glycine/proline residues, 21-25.8% preserved amino acids, and 55.5% are amino acids with chemically different side-chains. Statistical information for each mutagenesis method can further be used to investigate the mutational spectra in protein regions regarded as important for the property of interest.

Amino Acid Substitution↗
PubMed2002

Heterotachy, an important process of protein evolution.

Because of functional constraints, substitution rates vary among the positions of a protein but are usually assumed to be constant at a given site during evolution. The distribution of the rates across the sequence positions generally fits a Gamma distribution. Models of sequence evolution were accordingly designed and led to improved phylogenetic reconstruction. However, it has been convincingly demonstrated that the evolutionary rate of a given position is not always constant throughout time. We called such within-site rate variations heterotachy (for "different speed" in Greek). Yet, heterotachy was found among homologous sequences of distantly related organisms, often with different functions. In such cases, the functional constraints are likely different, which would explain the different distribution of variable sites. To evaluate the importance of heterotachy, we focused on amino acid sequences of mitochondrial cytochrome b, for which the function is likely the same in all vertebrates. Using 2,038 sequences, we demonstrate that 95% of the variable positions are heterotachous, i.e., underwent dramatic variations of substitution rate among vertebrate lineages. Heterotachy even occurs at small evolutionary scale, and in these cases it is very unlikely to be related to functional changes. Since a large number of sequences are required to efficiently detect heterotachy, the extent of this phenomenon could not be estimated for all proteins yet. It could be as large as for cytochrome b, since this protein is not a peculiar case. The observations made here open several new avenues of research, such as the understanding of the evolution of functional constraints or the improvement of phylogenetic reconstruction methods.

Amino Acid Sequence↗
PubMed2006

Frame shuffling: a novel method for in vitro protein evolution.

We describe 'frame shuffling', a novel method for preparing artificial protein libraries. With this method, a Y-family DNA polymerase known to introduce frame shift mutations at high rates is utilized to scramble the reading frames of a parental gene. The resultant progeny produce mutant proteins having segmental sequence changes. Such frame-shuffled mutant proteins exhibit physicochemical properties that differ from those of proteins obtained using conventional mutagenesis.

Amino Acid Sequence↗
PubMed1980

The random character of protein evolution and its effects on the reliability of phylogenetic information deduced from amino acid sequences and compositions.

Because evolution occurs by random events, the actual number of substitutions that occur in any period is not exactly equal to the number expected from the mean rate of substitution, but is statistically distributed about it. In consequence, even if rates of evolution are constant in different lineages, 'trees' deduced from descendant protein sequences contain random errors. When there are fewer than about eight differences between the sequences of the most distantly related pair from a set of proteins, this random effect is very large. It can then render trivial the statistical disadvantage inherent in using a crude measure of protein difference, such as amino acid composition or immunological cross-reactivity, in preference to a measure based the sequences of the most distantly related pair from a set of proteins, this random effect is very large. It can then render trivial the statistical disadvantage inherent in using a crude measure of protein difference, such as amino acid composition or immunological cross-reactivity, in preference to a measure based the sequences of the most distantly related pair from a set of proteins, this random effect is very large. It can then render trivial the statistical disadvantage inherent in using a crude measure of protein difference, such as amino acid composition or immunological cross-reactivity, in preference to a measure based on amino acid sequence. In some cases, such as classification of mammals on the basis of cytochrome c structure, it appears to make little difference to the reliability of the results whether the sequences of the protein concerned are known or not. It may also be possible to obtain more reliable phylogenetic information from composition measurements on several kinds of protein than one could obtain from sequence measurements on a single kind of protein.

Amino Acid Sequence↗
PubMed1975

Rates of protein evolution: a function of amino acid composition.

Conservation of secondary and tertiary structure in proteins suggests that rates of sequence variation reflect differences in the total number of amino acid replacements that are compatible with preservation of structure. Consequently, rates of sequence variation depend on whether the constituent amino acids of individual proteins are, over-all, more subject or less subject to evolutionary substitution than normal. Such rates correlate well with a mutability term based on amino acid composition.

Amino Acid Sequence↗
PubMed2003

A noncognate aminoacyl-tRNA synthetase that may resolve a missing link in protein evolution.

Efforts to delineate the advent of many enzymes essential to protein translation are often limited by the fact that the modern genetic code evolved before divergence of the tree of life. Glutaminyl-tRNA synthetase (GlnRS) is one noteworthy exception to the universality of the translation apparatus. In eukaryotes and some bacteria, this enzyme is essential for the biosynthesis of Gln-tRNAGln, an obligate intermediate in translation. GlnRS is absent, however, in archaea, and most bacteria, organelles, and chloroplasts. Phylogenetic analyses predict that GlnRS arose from glutamyl-tRNA synthetase (GluRS), via gene duplication with subsequent evolution of specificity. A pertinent question to ask is whether, in the advent of GlnRS, a transient GluRS-like intermediate could have been retained in an extant organism. Here, we report the discovery of an essential GluRS-like enzyme (GluRS2), which coexists with another GluRS (GluRS1) in Helicobacter pylori. We show that GluRS2's primary role is to generate Glu-tRNAGln, not Glu-tRNAGlu. Thus, GluRS2 appears to be a transient GluRS-like ancestor of GlnRS and can be defined as a GluGlnRS.

Amino Acyl-tRNA Synthetases↗
PubMed2003

Rate of protein evolution versus fitness effect of gene deletion.

Whether nonessential genes evolve faster than essential genes has been a controversial issue. To resolve this issue, we use the data from a nearly complete set of single-gene deletions in the yeast Saccharomyces cerevisiae to assess protein dispensability. Also, instead of the nematode, which was used previously but is only distantly related to S. cerevisiae, we use another yeast, Candida albicans, as a second species to estimate the evolutionary distances between orthologous genes in two species. Our analysis reveals only a weak correlation between protein dispensability and evolutionary rate. More important, the correlation disappears when duplicate genes are removed from the analysis. And surprisingly, the average rate of nonsynonymous substitution is considerably lower than that for single-copy genes in the yeast genome. This observation suggests that structural constraints are more important in determining the rate of evolution of a protein than dispensability because duplicate genes are on average more dispensable than single-copy genes. For duplicate genes, those with only a weak effect or no effect of deletion on fitness evolve on average faster than those with a moderate or strong effect of deletion on fitness, which in turn evolve on average faster than those with a lethal effect of deletion.

Candida albicans↗
PubMed2000

Do proteins learn to evolve? The Hopfield network as a basis for the understanding of protein evolution.

Correlations between amino-acid residues can be observed in sets of aligned protein sequences, and the analysis of their statistical and evolutionary significance and distribution has been thoroughly investigated. In this paper, we present a model based on such covariations in protein sequences in which the pairs of residues that have mutual influence combine to produce a system analogous to a Hopfield neural network. The emergent properties of such a network, such as soft failure and the connection between network architecture and stored memory, have close parallels in known proteins. This model suggests that an explanation for observed characters of proteins such as the diminution of function by substitutions distant from the active site, the existence of protein folds (superfolds) that can perform several functions based on one architecture, and structural and functional resilience to destabilizing substitutions might derive from their inherent network-like structure. This model may also provide a basis for mapping the relationship between structure, function and evolutionary history of a protein family, and thus be a powerful tool for rational engineering.

Animals↗
PubMed1977

Method for the determination of protein evolution rates by amino acid composition. Evolution rate of actins.

A method has been developed to determine the actin evolution rate. The method is based on amino acid compositon. The actin evolution rate has been established to be extremely low. Only three or less amino acid changes per hundred amino acid residues have accumulated for a 100 million years. One can explain the conservative nature of actin evolution as a sequence of its unique tightly fitted structure rich in biologically active centres at short distances from each other. The peculiar invariability of polar amino acids leads to a conclusion that some given distribution of charges is necessary for the unique functioning of actin molecules.

Actins↗