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Character and evolution of protein-protein interfaces.

Protein-protein interactions create the macromolecular assemblies and sequential signaling pathways essential for cell function. Their number far exceeds the number of proteins themselves and their experimental characterization, while improving, remains relatively slow. For these reasons, novel computational methods have important roles to play in understanding the physical basis of protein interactions, and in constraining the molecular basis of their specificity. This paper discusses methods based on multiple sequence alignments of protein homologues and phylogenetic trees.

Artificial Intelligence↗

Conservation of the secondary structure of protein during evolution and the role of the genetic code.

In this communication we demonstrate, in a group of modern proteins, following an algorithm described by Argyle (1980), that the ordination of the amino acids in terms of the most frequent substitutions agrees with the conservation of the alpha-helix, beta-sheet, and beta-turn formation tendencies during evolution. The same correspondence has been demonstrated for the conservation of the physico-chemical properties in the amino acid substitutions. Both parameters are similar in showing higher correlation with the most frequent amino acid substitutions than with the feasibility of changes at the level of the respective codons. Some kind of restrictions for the expression of the genomic changes, due to the conservation of the secondary structure of proteins and/or the physicochemical properties of the substituted amino acids, could account for the differences found between the distribution of the amino acid substitutions and the most probable codon changes.

Amino Acids↗

Rapid evolution of genomic Acp complement in the melanogaster subgroup of Drosophila.

Unusual properties of molecular evolution in reproduction-related Drosophila genes, including atypically rapid rates of protein evolution, support the idea that natural selection plays an important role in divergence of reproductive function in Drosophila. We used subtractive hybridization to investigate another potential side of evolution of the male reproductive transcriptome. We carried out a screen for genes with much greater transcript abundance in Drosophila simulans reproductive tracts than in Drosophila melanogaster reproductive tracts. Such genes could be present in both species but diverged dramatically in transcript abundance or could be present in D. simulans but absent from D. melanogaster. Here we report data from melanogaster subgroup species for three previously unknown accessory gland protein genes (Acps) identified in this screen. We found multiple Acps that were present in some lineages yet absent from other closely related melanogaster subgroup lineages, representing several losses of genes. An Acp that may have been lost in D. melanogaster and Drosophila erecta is segregating a null allele in Drosophila yakuba, yet shows evidence of adaptive protein evolution in contrasts of polymorphism and divergence within and between D. yakuba and its close relative, Drosophila teissieri. These data suggest that turnover of Acps occurs rapidly in Drosophila, consistent with rapid evolution of seminal fluid function.

Amino Acid Sequence↗

Evolution of protein fold in the presence of functional constraints.

The functional requirement to form and maintain the active site structure probably exerts a strong selective pressure on a protein to adopt just one stable and evolutionarily conserved fold. Nonetheless, new evidence suggests the likelihood of protein fold being neither physically nor biologically invariant. Alternative folds discovered in several proteins are composed of constant and variable parts. The latter display context-dependent conformations and a tendency to form new oligomeric interfaces. In turn, oligomerisation mediates fold evolution without loss of protein function. Gene duplication breaks down homo-oligomeric symmetry and relieves the pressure to maintain the local architecture of redundant active sites; this can lead to further structural changes.

Amino Acid Sequence↗

Evolution of protein complexity: the blue copper-containing oxidases and related proteins.

The blue copper proteins and their relatives have been compared by sequence alignments, by comparison of three-dimensional structures, and by construction of phylogenetic trees. The group contains proteins varying in size from 100 residues to over 2,300 residues in a single chain, containing from zero to nine copper atoms, and with a broad variation in function ranging from electron carrier proteins and oxidases to the blood coagulation factors V and VIII. Difference matrices show the sequence difference to be over 90% for many pairs in the group, yet alignment scores and other evidence suggest that they all evolved from a common ancestor. We have attempted to delineate how this evolution took place and in particular to define the mechanisms by which these proteins acquired an ever-increasing complexity in structure and function. We find evidence for six such mechanisms in this group of proteins: domain enlargement, in which a single domain increases in size from about 100 residues up to 210; domain duplication, which allows for a size increase from about 170 to about 1,000 residues; segment elongation, in which a small segment undergoes multiple successive duplications that can increase the chain size 50-fold; domain recruitment, in which a domain coded elsewhere in the genome is added on to the peptide chain; subunit formation, to form multisubunit proteins; and glycosylation, which in some cases doubles the size of the protein molecule. Size increase allows for the evolution of new catalytic properties, in particular the oxidase function, and for the formation of coagulation factors with multiple interaction sites and regulatory properties. The blood coagulation system is examined as an example in which a system of interacting proteins evolved by successive duplications of larger parts of the genome. The evolution of size, functionality, and diversity is compared with the general question of increase in size and complexity in biology.

Amino Acid Sequence↗

Evidence of functional selection pressure for alternative splicing events that accelerate evolution of protein subsequences.

Recently, it was proposed that alternative splicing may act as a mechanism for opening accelerated paths of evolution, by reducing negative selection pressure, but there has been little evidence so far that this mechanism could produce adaptive benefit. Here, we use metrics of very different types of selection pressures [e.g., against amino acid mutations (Ka/Ks), against mutations at synonymous sites (Ks), and for protein reading-frame preservation] to address this question by genomewide analyses of human, chimpanzee, mouse, and rat. These data show that alternative splicing relaxes Ka/Ks selection pressure up to 7-fold, but intriguingly this effect is accompanied by a strong increase in selection pressure against synonymous mutations, which propagates into the adjacent intron, and correlates strongly with the alternative splicing level observed for each exon. These effects are highly local to the alternatively spliced exon. Comparisons of these four genomes consistently show an increase in the density of amino acid mutations (Ka) in alternatively spliced exons and a decrease in the density of synonymous mutations (Ks). This selection pressure against synonymous mutations in alternatively spliced exons was accompanied in all four genomes by a striking increase in selection pressure for protein reading-frame preservation, and both increased markedly with increasing evolutionary age. Restricting our analysis to a subset of exons with strong evidence for biologically functional alternative splicing produced identical results. Thus alternative splicing apparently can create evolutionary "hotspots" within a protein sequence, and these events have evidently been selected for during mammalian evolution.

Alternative Splicing↗

Evolution of new protein function: recombinational enhancer Fis originated by horizontal gene transfer from the transcriptional regulator NtrC.

New protein function is thought to evolve mostly by gene duplication and divergence. Here we present phylogenetic evidence that the multifunctional protein Fis of the gamma proteobacterial species derived from the COOH-terminal domain of an ancestral alpha proteobacterial NtrC transcriptional regulatory protein. All of the known enterobacterial fis genes are preceded by an open reading frame, named yhdG, that is highly similar to nifR3, a gene that forms an operon with ntrC in several alpha proteobacterial species. Thus, we propose that yhdG and fis were acquired by a lineage ancestral to the gamma proteobacteria in a single horizontal gene transfer event, and later diverged to their present functions.

Amino Acid Sequence↗

Birth-and-death evolution of protein-coding regions and concerted evolution of non-coding regions in the multi-component genomes of nanoviruses.

Genomes of the four plant viruses of the genus Nanovirus consist of multiple circular single-stranded DNA components, each of which encodes a single protein. Protein phylogenies supported the hypothesis that faba bean necrotic yellows virus (FBNYV) and milk vetch disease virus (MDV) are sister taxa; that subterranean clover stunt virus (SCSV) branched next; and that banana bunchy top virus (BBTV) is an outgroup to the three other species. The phylogeny of replication (Rep) proteins indicate that this small viral multi-gene family has evolved by a process of duplication and subsequent loss of Rep-encoding genome components, analogous to the "birth-and-death" process of evolution which has been described in eukaryotic multi-gene families. By contrast, repeated recombinational events between components were found to have homogenized the non-coding portions of several components encoding unrelated components. For example, as result of recent recombination a portion of the non-coding region is virtually identical among SCSV components 1, 3, 4, 5, and 7. Thus, there is a process of concerted evolution of non-coding regions of Nanovirus genome components, which raises the possibility that certain non-coding regions are subject to functional constraint.

Base Sequence↗

A ligand-centric analysis of the diversity and evolution of protein-ligand relationships in E.coli.

As enzymes evolve and diverge from common ancestor sequences, they often keep their overall reaction chemistry but specialize in the binding of different cognate ligands. This study borrows methods for the computational assessment of 2D similarity of small molecules from the field of chemoinformatics, to examine the extent of structure conservation of cognate ligands binding to similar proteins. Proteins from 87 structural superfamilies from Escherichia coli form the core dataset, which is extended using homologues with functional assignments from any organism. We find that correlation of the substrate similarity with protein similarity (measured by either sequence-based or structure-based scores) can only be clearly established for very similar proteins. At low sequence identities, the superfamily to which a protein belongs can give helpful clues to its function, and more importantly, the confidence attached to such clues is superfamily-dependent. Our data indicate that only a few superfamilies show great substrate diversity, and that most exhibit conservation of at least part of the structural scaffold of the substrate.

Databases, Protein↗