Horizontal gene transfer (HGT) has changed the way we regard evolution. Instead of waiting for the next generation to establish new traits, especially bacteria are able to take a shortcut via HGT that enables them to pass on genes from one individual to another, even across species boundaries. Existing HGT detection approaches usually first identify genes of foreign nature, e.g., using composition-based methods, and then exploit phylogenetic discrepancies of the corresponding gene tree compared to a species tree. These approaches depend on fully sequenced HGT organisms and computable phylogenetic species trees. The tool Daisy offers a different approach based on read mapping that provides complementary evidence compared to existing methods at the cost of relying on the acceptor and donor references of the HGT organism being known. Acceptor and donor identification is akin to species identification in metagenomic samples based on sequencing reads, a problem addressed by metagenomic profiling tools. However, acceptor and donor references have certain properties such that these methods can not be directly applied. We propose DaisyGPS, a mapping-based pipeline that is able to identify acceptor and donor candidates of an HGT organism based on sequencing reads. To do that, DaisyGPS leverages metagenomic profiling strategies and refines them for HGT candidate identification. These candidates can then be further evaluated by tools like Daisy to establish HGT regions. We successfully validated our approach on both simulated and real data, and show its benefits in an investigation of MRSA outbreak data. DaisyGPS is freely available from https://gitlab.com/rki_bioinformatics/.

Where did you come from, where did you go: Refining Metagenomic Analysis Tools for HGT characterisation