(BioMed Central, 2016) Tica, Jelena; Lee, Eunjung; Untergasser, Andreas; Meiers, Sascha; Garfield, David A.; Gokcumen, Omer; Furlong, Eileen E.M.; Park, Peter; Stütz, Adrian M.; Korbel, Jan O.
Background: While active LINE-1 (L1) elements possess the ability to mobilize flanking sequences to different genomic loci through a process termed transduction influencing genomic content and structure, an approach for detecting polymorphic germline non-reference transductions in massively-parallel sequencing data has been lacking. Results: Here we present the computational approach TIGER (Transduction Inference in GERmline genomes), enabling the discovery of non-reference L1-mediated transductions by combining L1 discovery with detection of unique insertion sequences and detailed characterization of insertion sites. We employed TIGER to characterize polymorphic transductions in fifteen genomes from non-human primate species (chimpanzee, orangutan and rhesus macaque), as well as in a human genome. We achieved high accuracy as confirmed by PCR and two single molecule DNA sequencing techniques, and uncovered differences in relative rates of transduction between primate species. Conclusions: By enabling detection of polymorphic transductions, TIGER makes this form of relevant structural variation amenable for population and personal genome analysis. Electronic supplementary material The online version of this article (doi:10.1186/s12864-016-2670-x) contains supplementary material, which is available to authorized users.
