Comparative analysis of human and mouse expression data illuminates tissue-specific evolutionary patterns of miRNAs.

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Serval ID
serval:BIB_062426040422
Type
Article: article from journal or magazin.
Collection
Publications
Title
Comparative analysis of human and mouse expression data illuminates tissue-specific evolutionary patterns of miRNAs.
Journal
Nucleic Acids Research
Author(s)
Roux J., Gonzàlez-Porta M., Robinson-Rechavi M.
ISSN
1362-4962 (Electronic)
ISSN-L
0305-1048
Publication state
Published
Issued date
2012
Peer-reviewed
Oui
Volume
40
Number
13
Pages
5890-5900
Language
english
Abstract
MicroRNAs (miRNAs) constitute an important class of gene regulators. While models have been proposed to explain their appearance and expansion, the validation of these models has been difficult due to the lack of comparative studies. Here, we analyze miRNA evolutionary patterns in two mammals, human and mouse, in relation to the age of miRNA families. In this comparative framework, we confirm some predictions of previously advanced models of miRNA evolution, e.g. that miRNAs arise more frequently de novo than by duplication, or that the number of protein-coding gene targeted by miRNAs decreases with evolutionary time. We also corroborate that miRNAs display an increase in expression level with evolutionary time, however we show that this relation is largely tissue-dependent, and especially low in embryonic or nervous tissues. We identify a bias of tag-sequencing techniques regarding the assessment of breadth of expression, leading us, contrary to predictions, to find more tissue-specific expression of older miRNAs. Together, our results refine the models used so far to depict the evolution of miRNA genes. They underline the role of tissue-specific selective forces on the evolution of miRNAs, as well as the potential co-evolution patterns between miRNAs and the protein-coding genes they target.
Keywords
Animals, Evolution, Molecular, Humans, Mice, MicroRNAs/classification, MicroRNAs/genetics, Organ Specificity, Proteins/genetics
Pubmed
Web of science
Open Access
Yes
Create date
06/10/2016 15:24
Last modification date
20/08/2019 13:28
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