EvryRNA : ncRNAclassifier

Identify TE and TE-derived ncRNAs from other ncRNAs

Identify TE and TE-derived ncRNAs from other ncRNAs

Background

Inverted repeat genes encode precursor RNAs characterized by hairpin structures. These RNA hairpins are then metabolized by biosynthetic pathways to produce functional small RNAs.

In eukaryotic genomes, short non-autonomous transposable elements can have similar size and hairpin structures as non-coding precursor RNAs. This resemblance leads to problems annotating small RNAs.

 

Results

We mapped all microRNA precursors from miRBASE to several genomes and studied the repetition and dispersion of the corresponding loci. We then searched for repetitive elements overlapping these loci.

We developed an automatic method called ncRNAclassifier to classify pre-ncRNAs according to their relationship with transposable elements (TEs). We showed that there is a correlation between the number of scattered occurrences of ncRNA precursor candidates and the presence of TEs.

We applied ncRNAclassifier on six chordate genomes and report our findings. Among the 1,426 human and 721 mouse pre-miRNAs of miRBase, we identified 235 and 68 mis-annotated pre-miRNAs respectively corresponding completely to TEs.

 

Conclusions

We provide a tool enabling the identification of repetitive elements in precursor ncRNA sequences.

 

How to cite ncRNAClassifier:
  • S. Tempel, N. Pollet, and F. Tahi. ncRNAclassifier: a tool for detection and classification of transposable element sequences in RNA hairpins. BMC Bioinformatics 13:246, 2012. doi:10.1186/1471-2105-13-246
For any questions, comments or suggestions about ncRNAclassifier, please feel free to contact: fariza.tahi@ibisc.univ-evry.fr