On Reconciling Single and Recurrent Hitchhiking Models

A major focus of modern population genetics involves using polymorphism data in order to identify regions impacted by recent positive selection (so-called genomic scans). Recently, methodology has been proposed not to identify individual loci, but rather to quantify genomic recurrent hitchhiking (RHH) parameters using this same type of polymorphism data. I here examine to what extent genomic scans for adaptively important loci may be informed by recently estimated RHH parameters (and vice versa). I find that published results are largely incompatible with one another, with approximately an order of magnitude more sweeps being empirically identified than would be predicted under RHH estimates. Results demonstrate that making this connection between SHH and RHH models is crucial for a more complete and accurate characterization of adaptive evolution.