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© Research
Publication : Nucleic acids research

TEtools facilitates big data expression analysis of transposable elements and reveals an antagonism between their activity and that of piRNA genes.

Scientific Fields
Diseases
Organisms
Applications
Technique

Published in Nucleic acids research - 28 Feb 2017

Lerat E, Fablet M, Modolo L, Lopez-Maestre H, Vieira C

Link to Pubmed [PMID] – 28204592

Link to DOI – 10.1093/nar/gkw953

Nucleic Acids Res 2017 Feb; 45(4): e17

Over recent decades, substantial efforts have been made to understand the interactions between host genomes and transposable elements (TEs). The impact of TEs on the regulation of host genes is well known, with TEs acting as platforms of regulatory sequences. Nevertheless, due to their repetitive nature it is considerably hard to integrate TE analysis into genome-wide studies. Here, we developed a specific tool for the analysis of TE expression: TEtools. This tool takes into account the TE sequence diversity of the genome, it can be applied to unannotated or unassembled genomes and is freely available under the GPL3 (https://github.com/l-modolo/TEtools). TEtools performs the mapping of RNA-seq data obtained from classical mRNAs or small RNAs onto a list of TE sequences and performs differential expression analyses with statistical relevance. Using this tool, we analyzed TE expression from five Drosophila wild-type strains. Our data show for the first time that the activity of TEs is strictly linked to the activity of the genes implicated in the piwi-interacting RNA biogenesis and therefore fits an arms race scenario between TE sequences and host control genes.