Comprehensive analysis of microRNA genomic loci identifies pervasive repetitive-element origins

Glen M Borchert1, Nathaniel W Holton, Jonathan D Williams

  • 1School of Biological Sciences; Illinois State University; Normal, IL USA.

Mobile Genetic Elements
|October 22, 2011
PubMed

Insights

Transposable elements (TEs) are significantly involved in the origin and expression of microRNAs (miRs), small non-coding RNAs regulating gene expression. This study reveals TEs play a broader role in miR formation and regulatory networks than previously understood.

Area of Science:

  • Genomics
  • Molecular Biology
  • RNA Biology

Background:

  • MicroRNAs (miRs) are small non-coding RNAs that regulate gene expression post-transcriptionally.
  • The origins and genomic loci of miRs are not fully understood, hindering accurate target prediction.
  • Transposable elements (TEs) have been hypothesized to play a role in miR hairpin generation.

Purpose of the Study:

  • To comprehensively analyze the genomic events responsible for the formation of annotated miR loci.
  • To investigate the significance of the connection between miRs and transposable elements.
  • To demonstrate the utility of these findings in improving miR target prediction.

Main Methods:

  • Comprehensive analysis of all annotated miR genomic loci.
  • Examination of genomic events related to miR formation.
  • Evaluation of the role of repetitive elements in miR origin and expression.

Main Results:

  • A significant connection between miRs and transposable elements (TEs) was identified, exceeding previous appreciation.
  • Repetitive elements play a crucial role in miR origin, expression, and regulatory network formation.
  • The formation of 2,392 out of 15,176 recognized miR genomic loci was detailed, supporting a mobile genetic element model for miR establishment.

Conclusions:

  • Transposable elements are more integral to microRNA biology than previously recognized.
  • Understanding TE-miR interactions provides insights into genomic fitness and miR transcriptional regulation.
  • This research expands the understanding of miR origins and enhances miR target prediction accuracy.

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