Literature DB >> 15883880

Phylogenetic differences in content and intensity of periodic proteins.

Derek Gatherer1, Neil R McEwan.   

Abstract

Many proteins exhibit sequence periodicity, often correlated with a visible structural periodicity. The statistical significance of such periodicity can be assessed by means of a chi-squared-based test, with significance thresholds being calculated from shuffled sequences. Comparison of the complete proteomes of 45 species reveals striking differences in the proportion of periodic proteins and the intensity of the most significant periodicities. Eukaryotes tend to have a higher proportion of periodic proteins than eubacteria, which in turn tend to have more than archaea. The intensity of periodicity in the most periodic proteins is also greatest in eukaryotes. By contrast, the relatively small group of periodic proteins in archaea also tend to be weakly periodic compared to those of eukaryotes and eubacteria. Exceptions to this general rule are found in those prokaryotes with multicellular life-cycle phases, e.g., Methanosarcina sp., or Anabaena sp., which have more periodicities than prokaryotes in general, and in unicellular eukaryotes, which have fewer than multicellular eukaryotes. The distribution of significantly periodic proteins in eukaryotes is over a wide range of period lengths, whereas prokaryotic proteins typically have a more limited set of period lengths. This is further investigated by repeating the analysis on the NRL-3D database of proteins of solved structure. Some short-range periodicities are explicable in terms of basic secondary structure, e.g., alpha helices, while middle-range periodicities are frequently found to consist of known short Pfam domains, e.g., leucine-rich repeats, tetratricopeptides or armadillo domains. However, not all can be explained in this way.

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Year:  2005        PMID: 15883880     DOI: 10.1007/s00239-004-0189-2

Source DB:  PubMed          Journal:  J Mol Evol        ISSN: 0022-2844            Impact factor:   2.395


  31 in total

1.  The Protein Data Bank.

Authors:  H M Berman; J Westbrook; Z Feng; G Gilliland; T N Bhat; H Weissig; I N Shindyalov; P E Bourne
Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

2.  Analysis of sequence periodicity in E. coli proteins: empirical investigation of the "duplication and divergence" theory of protein evolution.

Authors:  Derek Gatherer; Neil R McEwan
Journal:  J Mol Evol       Date:  2003-08       Impact factor: 2.395

3.  Evolution of the structure of ferredoxin based on living relics of primitive amino Acid sequences.

Authors:  R V Eck; M O Dayhoff
Journal:  Science       Date:  1966-04-15       Impact factor: 47.728

4.  Detecting periodic patterns in biological sequences.

Authors:  E Coward; F Drabløs
Journal:  Bioinformatics       Date:  1998       Impact factor: 6.937

5.  A new approach to clustering the amino acids.

Authors:  L E Stanfel
Journal:  J Theor Biol       Date:  1996-11-21       Impact factor: 2.691

6.  The characterization of amino acid sequences in proteins by statistical methods.

Authors:  J M Zimmerman; N Eliezer; R Simha
Journal:  J Theor Biol       Date:  1968-11       Impact factor: 2.691

7.  Segmented structure of protein sequences and early evolution of genome by combinatorial fusion of DNA elements.

Authors:  E N Trifonov
Journal:  J Mol Evol       Date:  1995-03       Impact factor: 2.395

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

Authors:  S H White; R E Jacobs
Journal:  J Mol Evol       Date:  1993-01       Impact factor: 2.395

9.  Repeats of base oligomers as the primordial coding sequences of the primeval earth and their vestiges in modern genes.

Authors:  S Ohno
Journal:  J Mol Evol       Date:  1984       Impact factor: 2.395

10.  The hydrophobic moment detects periodicity in protein hydrophobicity.

Authors:  D Eisenberg; R M Weiss; T C Terwilliger
Journal:  Proc Natl Acad Sci U S A       Date:  1984-01       Impact factor: 11.205

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  2 in total

1.  Expansion of tandem repeats in sea anemone Nematostella vectensis proteome: A source for gene novelty?

Authors:  Guy Naamati; Menachem Fromer; Michal Linial
Journal:  BMC Genomics       Date:  2009-12-10       Impact factor: 3.969

2.  XSTREAM: a practical algorithm for identification and architecture modeling of tandem repeats in protein sequences.

Authors:  Aaron M Newman; James B Cooper
Journal:  BMC Bioinformatics       Date:  2007-10-11       Impact factor: 3.169

  2 in total

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