SEARCH · Search PubMed

Results for “protein evolution”

Search indexed PubMed citations on genomics, clinical trials, systematic reviews and public health. Explore titles, authors and supplied subject terms, then open the PubMed record.

SourceResearch connectionFrom yearThrough year

Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.

At least 253 records · Page 14Linked to original sources

PubMed2000

Sequence evolution and the mechanism of protein folding.

The impact on protein evolution of the physical laws that govern folding remains obscure. Here, by analyzing in silico-evolved sequences subjected to evolutionary pressure for fast folding, it is shown that: First, a subset of residues in the thermodynamic folding nucleus is mainly responsible for modulating the protein folding rate. Second and most important, the protein topology itself is of paramount importance in determining the location of these residues in the structure. Further stabilization of the interactions in this nucleus leads to fast folding sequences. Third, these nucleation points restrict the sequence space available to the protein during evolution. Correlated mutations between positions around these hot spots arise in a statistically significant manner, and most involve contacting residues. When a similar analysis is carried out on real proteins, qualitatively similar results are obtained.

Biophysical Phenomena↗

PubMed2003

Preferential attachment in the protein network evolution.

The Saccharomyces cerevisiae protein-protein interaction map, as well as many natural and man-made networks, shares the scale-free topology. The preferential attachment model was suggested as a generic network evolution model that yields this universal topology. However, it is not clear that the model assumptions hold for the protein interaction network. Using a cross-genome comparison, we show that (a) the older a protein, the better connected it is, and (b) the number of interactions a protein gains during its evolution is proportional to its connectivity. Therefore, preferential attachment governs the protein network evolution. Evolutionary mechanisms leading to such preference and some implications are discussed.

Evolution, Molecular↗

PubMed2004

Gene expression intensity shapes evolutionary rates of the proteins encoded by the vertebrate genome.

Natural selection leaves its footprints on protein-coding sequences by modulating their silent and replacement evolutionary rates. In highly expressed genes in invertebrates, these footprints are seen in the higher codon usage bias and lower synonymous divergence. In mammals, the highly expressed genes have a shorter gene length in the genome and the breadth of expression is known to constrain the rate of protein evolution. Here we have examined how the rates of evolution of proteins encoded by the vertebrate genomes are modulated by the amount (intensity) of gene expression. To understand how natural selection operates on proteins that appear to have arisen in earlier and later phases of animal evolution, we have contrasted patterns of mouse proteins that have homologs in invertebrate and protist genomes (Precambrian genes) with those that do not have such detectable homologs (vertebrate-specific genes). We find that the intensity of gene expression relates inversely to the rate of protein sequence evolution on a genomic scale. The most highly expressed genes actually show the lowest total number of substitutions per polypeptide, consistent with cumulative effects of purifying selection on individual amino acid replacements. Precambrian genes exhibit a more pronounced difference in protein evolutionary rates (up to three times) between the genes with high and low expression levels as compared to the vertebrate-specific genes, which appears to be due to the narrower breadth of expression of the vertebrate-specific genes. These results provide insights into the differential relationship and effect of the increasing complexity of animal body form on evolutionary rates of proteins.

Animals↗

PubMedDate not supplied

[Properties of artificial evolution of proteins and peptides].

In vitro evolution is used to study protein sequences, structures, and interactions and to obtain proteins with new properties. To analyze the specific features of this process in experiments with phage display, we studied the amino acid composition of selected sequences, constructed a matrix of amino acid substitutions, and identified pairs of coadaptive substitutions. Amino acid frequency proved to be tightly associated with the number of corresponding codons; numerous correlated substitutions were found.

Amino Acid Substitution↗

PubMed1987

Receptor-recognizing proteins of T-even type bacteriophages. Constant and hypervariable regions and an unusual case of evolution.

Proteins 38 of bacteriophages T2, K3, Ox2 and M1 are located at the free ends of their long tail fibers and function as adhesins, i.e. they mediate binding to the bacterial receptors. The latter three phages use the Escherichia coli outer membrane protein OmpA as a receptor, while T2 uses the outer membrane proteins OmpF or Ttr. The DNA sequences of genes 38 of phages Ox2 and M1 have been determined and are compared with those known for T2 and K3. The genes encode 262(T2), 260(K3), 266(Ox2) and 262(M1) amino acid residues. Three domains are distinguishable in these proteins. There are two conserved regions encompassing about 120 NH2-terminal and about 25 CO2H-terminal residues, respectively. The area between these was found to be hypervariable, and it is shown that a very large number of amino acid substitutions, deletions and/or insertions have occurred. Glycine-rich stretches are present within and flanking these areas. Their positions are essentially conserved, indicating an important structural role in receptor recognition. The hypervariability, most likely caused by a constant struggle with bacterial phage-resistant mutants, is so drastic that one cannot discern that T2 uses different receptors from those of the other phages. The partially known sequence of gene 38 of phage T4 has been completed. The gene encodes a protein consisting of 183 amino acid residues. The amino acid composition and sequence of this protein is completely different from those of phages T2, K3, Ox2 and M1. Also, the protein is functionally unrelated to the other proteins 38: it is not present in phage T4 and, unlike the other proteins 38, is required for the efficient dimerization of protein 37. All phages under study are of the same morphology and the genomic organization of the tail fiber genes is identical, with genes 36, 37 and 38 most likely representing, in this order, a transcriptional unit. Sequence similarities between the CO2H-termini of genes 37 of the non-T4 phages and gene 38 of phage T4 were found; this part of gene 37 does not exist in T4. It is suggested that gene 38 of phage T4 originated from a segment of gene 37 of a T2-type phage. Gene 38 of phage T4 is not unique, DNA-DNA hybridization experiments indicated that two other T-even type phages, TuIa and TuIb, possess a T4-type gene 38.

Amino Acid Sequence↗

PubMed2004

Protein folding and evolution are driven by the Maxwell Demon activity of proteins.

In this paper we propose a theoretical model of protein folding and protein evolution in which a polypeptide (sequence/structure) is assumed to behave as a Maxwell Demon or Information Gathering and Using System (IGUS) that performs measurements aiming at the construction of the native structure. Our model proposes that a physical meaning to Shannon information (H) and Chaitin's algorithmic information (K) parameters can be both defined and referred from the IGUS standpoint. Our hypothesis accounts for the interdependence of protein folding and protein evolution through mutual influencing relationships mediated by the IGUS. In brief, IGUS activity in protein folding determines long term tendencies that emerge at the evolutionary time-scale.Thus, protein evolution is a consequence of measurements executed by proteins at the cellular level, where the IGUS imposes a tendency to attain a highly unique stable native form that promotes the updating of the information content. The folding kinetics observed is, thus, the outcome of an evolutionary process where the polypeptide-IGUS drives the evolution of its linear sequence. Finally, we describe protein evolution as an entropic process that tends to increase the content of mutual algorithmic information between the sequence and the structure. This model enables one: 1. To comprehend that full determination of the three-dimensional structure by the linear sequence is a tendency where satisfaction is only possible at thermodynamic equilibrium.2. To account for the observed randomness of the amino acid sequences. 3. To predict an alternation of periods of selection and neutral diffusion during protein evolutionary time.

Algorithms↗

PubMed2005

Fold usage on genomes and protein fold evolution.

We review fold usage on completed genomes to explore protein structure evolution. The patterns of presence or absence of folds on genomes gives us insights into the relationships between folds, the age of different folds and how we have arrived at the set of folds we see today. We examine the relationships between different measures which describe protein fold usage, such as the number of copies of a fold per genome, the number of families per fold, and the number of genomes a fold occurs on. We obtained these measures of fold usage by searching for the structural domains on 157 completed genome sequences from all three kingdoms of life. In our comparisons of these measures we found that bacteria have relatively more distinct folds on their genomes than archaea. Eukaryotes were found to have many more copies of a fold on their genomes. If we separate out the different fold classes, the alpha/beta class has relatively fewer distinct folds on large genomes, more copies of a fold on bacteria and more folds occurring in all three kingdoms simultaneously. These results possibly indicate that most alpha/beta folds originated earlier than other folds. The expected power law distribution is observed for copies of a fold per genome and we found a similar distribution for the number of families per fold. However, a more complicated distribution appears for fold occurrence across genomes, which strongly depends on fold class and kingdom. We also show that there is not a clear relationship between the three measures of fold usage. A fold which occurs on many genomes does not necessarily have many copies on each genome. Similarly, folds with many copies do not necessarily have many families or vice versa.

Archaeal Proteins↗

PubMed1999

Conserved domains in DNA repair proteins and evolution of repair systems.

A detailed analysis of protein domains involved in DNA repair was performed by comparing the sequences of the repair proteins from two well-studied model organisms, the bacterium Escherichia coli and yeast Saccharomyces cerevisiae, to the entire sets of protein sequences encoded in completely sequenced genomes of bacteria, archaea and eukaryotes. Previously uncharacterized conserved domains involved in repair were identified, namely four families of nucleases and a family of eukaryotic repair proteins related to the proliferating cell nuclear antigen. In addition, a number of previously undetected occurrences of known conserved domains were detected; for example, a modified helix-hairpin-helix nucleic acid-binding domain in archaeal and eukaryotic RecA homologs. There is a limited repertoire of conserved domains, primarily ATPases and nucleases, nucleic acid-binding domains and adaptor (protein-protein interaction) domains that comprise the repair machinery in all cells, but very few of the repair proteins are represented by orthologs with conserved domain architecture across the three superkingdoms of life. Both the external environment of an organism and the internal environment of the cell, such as the chromatin superstructure in eukaryotes, seem to have a profound effect on the layout of the repair systems. Another factor that apparently has made a major contribution to the composition of the repair machinery is horizontal gene transfer, particularly the invasion of eukaryotic genomes by organellar genes, but also a number of likely transfer events between bacteria and archaea. Several additional general trends in the evolution of repair proteins were noticed; in particular, multiple, independent fusions of helicase and nuclease domains, and independent inactivation of enzymatic domains that apparently retain adaptor or regulatory functions.

Amino Acid Sequence↗

PubMed2006

Statistics of knots, geometry of conformations, and evolution of proteins.

Like shoelaces, the backbones of proteins may get entangled and form knots. However, only a few knots in native proteins have been identified so far. To more quantitatively assess the rarity of knots in proteins, we make an explicit comparison between the knotting probabilities in native proteins and in random compact loops. We identify knots in proteins statistically, applying the mathematics of knot invariants to the loops obtained by complementing the protein backbone with an ensemble of random closures, and assigning a certain knot type to a given protein if and only if this knot dominates the closure statistics (which tells us that the knot is determined by the protein and not by a particular method of closure). We also examine the local fractal or geometrical properties of proteins via computational measurements of the end-to-end distance and the degree of interpenetration of its subchains. Although we did identify some rather complex knots, we show that native conformations of proteins have statistically fewer knots than random compact loops, and that the local geometrical properties, such as the crumpled character of the conformations at a certain range of scales, are consistent with the rarity of knots. From these, we may conclude that the known "protein universe" (set of native conformations) avoids knots. However, the precise reason for this is unknown--for instance, if knots were removed by evolution due to their unfavorable effect on protein folding or function or due to some other unidentified property of protein evolution.

Evolution, Molecular↗

PubMed1993

Macaque salivary proline-rich protein: structure, evolution, and expression.

Proline-rich proteins are a family of proteins that exhibit unique features including an unusual high proline content and salivary-specificity. As a major constituent in the salivary secretion of higher primates, proline-rich proteins may have biological roles in oral lubrication and protection. In this article, the genomic structure and regulation by cAMP of one of the macaque salivary proline-rich protein genes, MnP4, is reviewed. The evolution of this multigene family of proteins is also discussed.

Amino Acid Sequence↗

PubMed1998

Cytoskeletal proteins: the evolution of cell division.

The prokaryotic cell division protein FtsZ and eukaryotic tubulin have been shown to have very similar structures and are most likely homologs. The evolutionary transition from FtsZ to tubulin could provide a window into the transition from prokaryotic cells to eukaryotic cells.

Amino Acid Sequence↗

PubMed2002

Physiological genomics of Escherichia coli protein families.

The well-researched Escherichia coli genome offers the opportunity to explore the value of using protein families within a single organism to enrich functional annotation procedures and to study mechanisms of protein evolution. Having identified multimodular proteins resulting from gene fusion, and treated each module as a separate protein, nonoverlapping sequence-similar families in E. coli could be assembled. Of 3,902 proteins of length 100 residues or more, 2,415 clustered into 609 protein families. The relatedness of function among members of each family was dissected in detail. Data on paralogous protein families provides valuable information in attributing putative function to unknown genes, supplementing existing function annotation. Enzymes, transporters, and regulators represent the three major types of proteins in E. coli. They are shown to have distinctive patterns in gene duplication and divergence and gene fusion, suggesting that details of protein evolution have been different for genes in these categories. Data for the complete list of paralogous protein families and updated functional annotation for E. coli K-12 are accessible in GenProtEC (http://genprotec.mbl.edu).

Carrier Proteins↗

PubMed2002

Developmental evolution: Hox proteins ring the changes.

The evolution of body form is believed to involve changes in expression of developmental genes, largely through changes in cis-regulatory elements. Recent studies suggest that changes in the sequences of key developmental regulators, such as the Hox proteins, may also play an important role.

Animals↗

PubMed2006

Evolution of circular permutations in multidomain proteins.

Modular rearrangements play an important role in protein evolution. Functional modules, often tantamount to structural domains or smaller fragments, are in many cases well conserved but reoccur in a different order and across many protein families. The underlying genetic mechanisms are gene duplication, fusion, and loss of sequence fragments. As a consequence, the sequential order of domains can be inverted, leading to what is known as circularly permutated proteins. Using a recently developed algorithm, we have identified a large number of such rearrangements and analyzed their evolutionary history. We searched for examples which have arisen by one of the three postulated mechanisms: independent fusion/fission, "duplication/deletion," and plasmid-mediated "cut and paste." We conclude that all three mechanisms can be observed, with the independent fusion/fission being the most frequent. This can be partly attributed to highly mobile domains. Duplication/deletion has been found in modular proteins such as peptide synthases.

Archaea↗

PubMed2001

The Rieske Fe/S protein of the cytochrome b6/f complex in chloroplasts: missing link in the evolution of protein transport pathways in chloroplasts?

The Rieske Fe/S protein, a nuclear-encoded subunit of the cytochrome b(6)/f complex in chloroplasts, is retarded in the stromal space after import into the chloroplast and only slowly translocated further into the thylakoid membrane system. As shown by the sensitivity to nigericin and to specific competitor proteins, thylakoid transport takes place by the DeltapH-dependent TAT pathway. The Rieske protein is an untypical TAT substrate, however. It is only the second integral membrane protein shown to utilize this pathway, and it is the first authentic substrate without a cleavable signal peptide. Transport is instead mediated by the NH(2)-terminal membrane anchor, which lacks, however, the twin-arginine motif indicative of DeltapH/TAT-dependent transport signals. Furthermore, transport is affected by sodium azide as well as by competitor proteins for the Sec pathway in chloroplasts, demonstrating for the first time some cross-talk of the two pathways. This might take place in the stroma where the Rieske protein accumulates after import in several complexes of high molecular mass, among which the cpn60 complex is the most prominent. These untypical features suggest that the Rieske protein represents an intermediate or early state in the evolution of the thylakoidal protein transport pathways.

Amino Acid Motifs↗

PubMed1974

The importance of gene rearrangement in evolution: evidence from studies on rates of chromosomal, protein, and anatomical evolution.

We have compared the relative rates of protein evolution and chromosomal evolution in frogs and mammals. The average rate of change in chromosome number has been about 20 times faster in mammals than in frogs. Whereas it takes only 3.5 million years, on the average, for a pair of mammal species to develop a difference in chromosome number, the corresponding period for frogs is 70 million years. In contrast, the rate of protein evolution in mammals has been roughly equal to that in frogs. The rapid rate of gene rearrangement in mammals parallels both their rapid anatomical evolution and their rapid evolutionary loss of the potential for interspecific hybridization. Thus, gene rearrangements may be more important than point mutations as sources for evolutionary changes in anatomy and way of life.

Adaptation, Biological↗

PubMed1990

Quantitative analysis of the selective pressure exerted on homologous proteins.

Evolution analysis is used to locate the regions of a protein that are important for its function or structure. The rate of evolution is generally constant for a given family of homologous sequences. From the starting point of this observation, an algorithm is proposed to establish quantitatively the sequence zones where selective pressure is maximal. A program that computes this pressure has been written in PASCAL. Analysis of results on some sequences validate this theoretical approach, and this knowledge can be used as a starting-point for carrying out site-directed mutagenesis.

Algorithms↗

PubMed2002

In vitro selection as a powerful tool for the applied evolution of proteins and peptides.

New in vitro methods for the applied evolution of protein structure and function complement conventional cellular and phage-based methods. Strategies employing the direct physical linkage of genotype and phenotype, and the compartmental association of gene and product to select desired properties are discussed, and recent useful applications are described. Engineering of antibodies and other proteins, selection from cDNA libraries, and the creation of functional protein domains from completely random starting sequences illustrate the value of the in vitro approaches. Also discussed is an emerging new direction for in vitro display technology: the self-assembly of protein arrays.

Antibodies↗