The relationships among MicroRNA regulation, intrinsically disordered regions, and other indicators of protein evolutionary rate

Chun-Chang Chen, Trees-Juen Chuang, Wen-Hsiung Li

Research output: Contribution to journalArticlepeer-review

23 Citations (Scopus)

Abstract

Many indicators of protein evolutionary rate have been proposed, but some of them are interrelated. The purpose of this study is to disentangle their correlations. We assess the strength of each indicator by controlling for the other indicators under study. We find that the number of microRNA (miRNA) types that regulate a gene is the strongest rate indicator (a negative correlation), followed by disorder content (the percentage of disordered regions in a protein, a positive correlation); the strength of disorder content as a rate indicator is substantially increased after controlling for the number of miRNA types. By dividing proteins into lowly and highly intrinsically disordered proteins (L-IDPs and H-IDPs), we find that proteins interacting with more H-IDPs tend to evolve more slowly, which largely explains the previous observation of a negative correlation between the number of protein-protein interactions and evolutionary rate. Moreover, all of the indicators examined here, except for the number of miRNA types, have different strengths in L-IDPs and in H-IDPs. Finally, the number of phosphorylation sites is weakly correlated with the number of miRNA types, and its strength as a rate indicator is substantially reduced when other indicators are considered. Our study reveals the relative strength of each rate indicator and increases our understanding of protein evolution. © 2011 The Author.
Original languageEnglish
Pages (from-to)2513-2520
Number of pages8
JournalMolecular Biology and Evolution
Volume28
Issue number9
DOIs
Publication statusPublished - 2011
Externally publishedYes

Keywords

  • disordered proteins
  • microRNA regulation
  • phosphorylation
  • protein evolution
  • protein-protein interaction
  • microRNA
  • article
  • correlation coefficient
  • gene control
  • human
  • molecular evolution
  • nonhuman
  • protein analysis
  • protein phosphorylation
  • protein protein interaction
  • Amino Acid Substitution
  • Animals
  • Computational Biology
  • Evolution, Molecular
  • Gene Expression Regulation
  • Genome, Human
  • Humans
  • Mice
  • MicroRNAs
  • Protein Conformation
  • Protein Folding
  • Proteins

Fingerprint Dive into the research topics of 'The relationships among MicroRNA regulation, intrinsically disordered regions, and other indicators of protein evolutionary rate'. Together they form a unique fingerprint.

Cite this