Language evolution and social strata.
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Cultural Evolution↗
Biomedical subjects
Temple F Smith
Publications and source records attributed to Temple F Smith.
Ribosomal protein-sequence block structure suggests complex prokaryotic evolution with implications for the origin of eukaryotes.
Amino acid sequence alignments of orthologous ribosomal proteins found in Bacteria, Archaea, and Eukaryota display, relative to one another, an unusual segment or block structure, with major evolutionary implications. Within each of the prokaryotic phylodomains the sequences exhibit substantial similarity, but cross-domain alignments break up into (a) universal blocks (conserved in both phylodomains), (b) bacterial blocks (unalignable with any archaeal counterparts), and (c) archaeal blocks (unalignable with any bacterial counterparts). Sequences of those eukaryotic cytoplasmic riboproteins that have orthologs in both Bacteria and Archaea, exclusively match the archaeal block structure. The distinct blocks do not correlate consistently with any identifiable functional or structural feature including RNA and protein contacts. This phylodomain-specific block pattern also exists in a number of other proteins associated with protein synthesis, but not among enzymes of intermediary metabolism. While the universal blocks imply that modern Bacteria and Archaea (as defined by their translational machinery) clearly have had a common ancestor, the phylodomain-specific blocks imply that these two groups derive from single, phylodomain-specific types that came into existence at some point long after that common ancestor. The simplest explanation for this pattern would be a major evolutionary bottleneck, or other scenario that drastically limited the progenitors of modern prokaryotic diversity at a time considerably after the evolution of a fully functional translation apparatus. The vast range of habitats and metabolisms that prokaryotes occupy today would thus reflect divergent evolution after such a restricting event. Interestingly, phylogenetic analysis places the origin of eukaryotes at about the same time and shows a closer relationship of the eukaryotic ribosome-associated proteins to crenarchaeal rather than euryarchaeal counterparts.
Amino Acid Sequence↗
Functional conservation between members of an ancient duplicated transcription factor family, LSF/Grainyhead.
The LSF/Grainyhead transcription factor family is involved in many important biological processes, including cell cycle, cell growth and development. In order to investigate the evolutionary conservation of these biological roles, we have characterized two new family members in Caenorhabditis elegans and Xenopus laevis. The C.elegans member, Ce-GRH-1, groups with the Grainyhead subfamily, while the X.laevis member, Xl-LSF, groups with the LSF subfamily. Ce-GRH-1 binds DNA in a sequence-specific manner identical to that of Drosophila melanogaster Grainyhead. In addition, Ce-GRH-1 binds to sequences upstream of the C.elegans gene encoding aromatic L-amino-acid decarboxylase and genes involved in post-embryonic development, mab-5 and dbl-1. All three C.elegans genes are homologs of D.melanogaster Grainyhead-regulated genes. RNA-mediated interference of Ce-grh-1 results in embryonic lethality in worms, accompanied by soft, defective cuticles. These phenotypes are strikingly similar to those observed previously in D.melanogaster grainyhead mutants, suggesting conservation of the developmental role of these family members over the course of evolution. Our phylogenetic analysis of the expanded LSF/GRH family (including other previously unrecognized proteins/ESTs) suggests that the structural and functional dichotomy of this family dates back more than 700 million years, i.e. to the time when the first multicellular organisms are thought to have arisen.
5' Flanking Region↗
A search method for homologs of small proteins. Ubiquitin-like proteins in prokaryotic cells?
The question of protein homology versus analogy arises when proteins share a common function or a common structural fold without any statistically significant amino acid sequence similarity. Even though two or more proteins do not have similar sequences but share a common fold and the same or closely related function, they are assumed to be homologs, descendant from a common ancestor. The problem of homolog identification is compounded in the case of proteins of 100 or less amino acids. This is due to a limited number of basic single domain folds and to a likelihood of identifying by chance sequence similarity. The latter arises from two conditions: first, any search of the currently very large protein database is likely to identify short regions of chance match; secondly, a direct sequence comparison among a small set of short proteins sharing a similar fold can detect many similar patterns of hydrophobicity even if proteins do not descend from a common ancestor. In an effort to identify distant homologs of the many ubiquitin proteins, we have developed a combined structure and sequence similarity approach that attempts to overcome the above limitations of homolog identification. This approach results in the identification of 90 probable ubiquitin-related proteins, including examples from the two prokaryotic domains of life, Archaea and Bacteria.
Amino Acid Sequence↗
Overview of the Alliance for Cellular Signaling.
The Alliance for Cellular Signaling is a large-scale collaboration designed to answer global questions about signalling networks. Pathways will be studied intensively in two cells--B lymphocytes (the cells of the immune system) and cardiac myocytes--to facilitate quantitative modelling. One goal is to catalyse complementary research in individual laboratories; to facilitate this, all alliance data are freely available for use by the entire research community.
B-Lymphocytes↗
Information-theoretic dissection of pairwise contact potentials.
Pairwise contact potentials have a long, successful history in protein structure prediction. They provide an easily-estimated representation of many attributes of protein structures, such as the hydrophobic effect. In order to improve on existing potentials, one should develop a clear understanding of precisely what information they convey. Here, using mutual information, we quantified the information in amino acid potentials, and the importance of hydropathy, charge, disulfide bonding, and burial. Sampling error in mutual information was controlled for by estimating how much information cannot be attributed to sampling bias. We found the information in amino acid contacts to be modest: 0.04 bits per contact. Of that, only 0.01 bits of information could not be attributed to hydropathy, charge, disulfide bonding, or burial.
Amino Acids↗
Triage protein fold prediction.
We have constructed, in a completely automated fashion, a new structure template library for threading that represents 358 distinct SCOP folds where each model is mathematically represented as a Hidden Markov model (HMM). Because the large number of models in the library can potentially dilute the prediction measure, a new triage method for fold prediction is employed. In the first step of the triage method, the most probable structural class is predicted using a set of manually constructed, high-level, generalized structural HMMs that represent seven general protein structural classes: all-alpha, all-beta, alpha/beta, alpha+beta, irregular small metal-binding, transmembrane beta-barrel, and transmembrane alpha-helical. In the second step, only those fold models belonging to the determined structural class are selected for the final fold prediction. This triage method gave more predictions as well as more correct predictions compared with a simple prediction method that lacks the initial classification step. Two different schemes of assigning Bayesian model priors are presented and discussed.
Animals↗
Probabilistic prediction of Saccharomyces cerevisiae mRNA 3'-processing sites.
We present a tool for the prediction of mRNA 3'-processing (cleavage and polyadenylation) sites in the yeast Saccharomyces cerevisiae, based on a discrete state-space model or hidden Markov model. Comparison of predicted sites with experimentally verified 3'-processing sites indicates good agreement. All predicted or known yeast genes were analyzed to find probable 3'-processing sites. Known alternative 3'-processing sites, both within the 3'-untranslated region and within the protein coding sequence were successfully identified, leading to the possibility of prediction of previously unknown alternative sites. The lack of an apparent 3'-processing site calls into question the validity of some predicted genes. This is specifically investigated for predicted genes with overlapping coding sequences.
3' Untranslated Regions↗