The influence of native populations’ genetic history on the reconstruction of invasion routes: the case of a highly invasive aquatic species

Insufficient data on the origins of first introduced propagule and initial stages invasion complicate reconstruction a species’ history. Phylogeography native area profoundly shapes genomic patterns propagules which subsequent demographic processes are based. Thus, better understanding this aspect helps to disentangle invasive histories. Here, we used together with clustering methods, explicit admixture tests combined ABC models Machine Learning algorithms, compare genetic structure gene flow populations, infer most likely pathways highly freshwater fish Pseudorasbora parva. This species is vector novel lethal fungal-like pathogen (Sphaerothecum destruens) that responsible for decline several in Europe. We found current structuring range P. parva has been shaped by waves from populations southern northern China. Furthermore, our results strongly suggest diversity recurrent global admixed populations. Our study also illustrates how combination tests, can be detect high-resolution signatures reconstruct an integrative biological