ArticleMolecular biology and evolution2011
The relationships among microRNA regulation, intrinsically disordered regions, and other indicators of protein evolutionary rate.
Article in Molecular biology and evolution, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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20 citing papers in PubMed, 30 citations in OpenAlex.
- Functional and Structural Determinants of Long- and Short-Term Evolution of Herpesvirus Proteins.Molecular biology and evolution · 2025Article
- Oncogenic roles of young human de novo genes and their potential as neoantigens in cancer immunotherapy.Cell genomics · 2025Article
- Codon Usage Bias: A Potential Factor Affecting VGLUT Developmental Expression and Protein Evolution.Molecular neurobiology · 2025Article
- Random peptides rich in small and disorder-promoting amino acids are less likely to be harmful.Genome biology and evolution · 2022Article
- Natural Selection on the Phase-Separation Properties of FUS during 160 My of Mammalian Evolution.Molecular biology and evolution · 2021Article
- Correlates of evolutionary rates in the murine sperm proteome.BMC evolutionary biology · 2018Article
- Young Genes are Highly Disordered as Predicted by the Preadaptation Hypothesis ofNature ecology & evolution · 2017Article
- Purifying selection shapes the coincident SNP distribution of primate coding sequences.Scientific reports · 2016Article
- Determinants of the rate of protein sequence evolution.Nature reviews. Genetics · 2015Review
- Microevolution of nematode miRNAs reveals diverse modes of selection.Genome biology and evolution · 2014Article
- Classification of intrinsically disordered regions and proteins.Chemical reviews · 2014Review
- The evolution of the coding exome of the Arabidopsis species--the influences of DNA methylation, relative exon position, and exon length.BMC evolutionary biology · 2014Article
- Impacts of pretranscriptional DNA methylation, transcriptional transcription factor, and posttranscriptional microRNA regulations on protein evolutionary rate.Genome biology and evolution · 2014Article
- Pleiotropic constraints, expression level, and the evolution of miRNA sequences.Journal of molecular evolution · 2013Article
- Evolutionary rate patterns of genes involved in the Drosophila Toll and Imd signaling pathway.BMC evolutionary biology · 2013Article
- The impact of trans-regulation on the evolutionary rates of metazoan proteins.Nucleic acids research · 2013Article
- A decade and a half of protein intrinsic disorder: biology still waits for physics.Protein science : a publication of the Protein Society · 2013Review
- Intrinsically disordered regions of p53 family are highly diversified in evolution.Biochimica et biophysica acta · 2013Article
- Improving genome-wide scans of positive selection by using protein isoforms of similar length.Genome biology and evolution · 2013Article
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Authors and funding
3 authors at 3 institutions in 2 countries.
Funding
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.
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