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Efficient detection of transposable element insertion polymorphisms between genomes using short-read sequencing data

Baduel, P.; Quadrana, L.; Colot, V.

2020-06-11 bioinformatics
10.1101/2020.06.09.142331 bioRxiv
Show abstract

Transposable elements (TEs) are powerful generators of major-effect mutations, most of which are deleterious at the species level and maintained at very low frequencies within populations. As reference genomes can only capture a minor fraction of such variants, methods were developed to detect TE insertion polymorphisms (TIPs) in non-reference genomes from short-read sequencing data, which are becoming increasingly available. We present here a bioinformatic framework combining an improved version of the SPLITREADER and TEPID pipelines to detect non-reference TE presence and reference TE absence variants, respectively. We benchmark our method on ten non-reference Arabidopsis thaliana genomes and demonstrate its high specificity and sensitivity in the detection of TIPs between genomes.

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