@article{fdi:010084589,
  title = {{T}he influence of native populations' genetic history on the reconstruction of invasion routes : the case of a highly invasive aquatic species},
  author = {{B}razier, {T}. and {C}herif, {E}mira and {M}artin, {J}. {F}. and {G}illes, {A}. and {B}lanchet, {S}. and {Z}hao, {Y}. {H}. and {C}ombe, {M}arine and {M}c{C}airns, {R}. {J}. {S}. and {G}ozlan, {R}odolphe},
  editor = {},
  language = {{ENG}},
  abstract = {{I}nsufficient data on the origins of the first introduced propagule and the initial stages of invasion complicate the reconstruction of a species' invasion history. {P}hylogeography of the native area profoundly shapes the genomic patterns of the propagules on which subsequent demographic processes of the invasion are based. {T}hus, a better understanding of this aspect helps to disentangle native and invasive histories. {H}ere, we used genomic data together with clustering methods, explicit admixture tests combined with {ABC} models and {M}achine {L}earning algorithms, to compare patterns of genetic structure and gene flow of native and introduced populations, and infer the most likely invasion pathways of the highly invasive freshwater fish {P}seudorasbora parva. {T}his species is the vector of a novel lethal fungal-like pathogen ({S}phaerothecum destruens) that is responsible for the decline of several fish species in {E}urope. {W}e found that the current genetic structuring in the native range of {P}. parva has been shaped by waves of gene flow from populations in southern and northern {C}hina. {F}urthermore, our results strongly suggest that the genetic diversity of invasive populations results from recurrent global invasion pathways of admixed native populations. {O}ur study also illustrates how the combination of admixture tests, {ABC} and {M}achine {L}earning can be used to detect high-resolution demographic signatures and reconstruct an integrative biological invasion history.},
  keywords = {{I}nvasion pathways ; {A}quatic biological invasion ; {D}emographic inference ; {P}opulation modeling ; {P}opulation genomics ; {A}pproximate bayesian ; computation ; {ASIE} ; {MOYEN} {ORIENT} ; {EUROPE} ; {JAPON} ; {CHINE} ; {AUTRICHE} ; {BELGIQUE} ; {BULGARIE} ; {HONGRIE} ; {IRAN} ; {ITALIE} ; {POLOGNE} ; {ESPAGNE} ; {TURQUIE} ; {ROYAUME} {UNI} ; {TIBET}},
  booktitle = {},
  journal = {{B}iological {I}nvasions},
  volume = {[{E}arly access]},
  numero = {},
  pages = {[22 ]},
  ISSN = {1387-3547},
  year = {2022},
  DOI = {10.1007/s10530-022-02787-6},
  URL = {https://www.documentation.ird.fr/hor/fdi:010084589},
}