@article{fdi:010092204,
  title = {{T}racking the {N}orth {A}merican {A}sian longhorned beetle invasion with genomics},
  author = {{C}ui, {M}. {M}. and {R}oe, {A}. {D}. and {B}oyle, {B}. and {K}eena, {M}. and {W}u, {Y}. {K}. and {B}raswell, {W}. {E}. and {S}mith, {M}. {T}. and {G}asman, {B}. and {S}hi, {J}. and {J}aval, {M}arion and {R}oux, {G}. and {T}urgeon, {J}. {J}. and {H}amelin, {R}. and {P}orth, {I}.},
  editor = {},
  language = {{ENG}},
  abstract = {{B}iological invasions pose significant threats to ecological and economic stability, with invasive pests like the {A}sian longhorned beetle ({A}noplophora glabripennis {M}otschulsky, {ALB}) causing substantial damage to forest ecosystems. {E}ffective pest management relies on comprehensive knowledge of the insect's biology and invasion history. {T}his study uses genomics to address these knowledge gaps and inform existing biosurveillance frameworks. {W}e used 2768 genome-wide single nucleotide polymorphisms to compare invasive {A}. glabripennis populations in {N}orth {A}merica, using genomic variation to trace their sources of invasion and spread patterns, thereby refining our understanding of this species' invasion history. {W}e found that most {N}orth {A}merican {A}. glabripennis infestations were distinct, resulting from multiple independent introductions from the native range. {F}ollowing their introduction, all invasive populations experienced a genetic bottleneck which was followed by a population expansion, with a few also showing secondary spread to satellite infestations. {O}ur study provides a foundation for a genome-based biosurveillance tool that can be used to clarify the origin of intercepted individuals, allowing regulatory agencies to strengthen biosecurity measures against this invasive beetle.},
  keywords = {biosurveillance ; introduction source ; invasion history ; invasive species ; secondary spread ; {ETATS} {UNIS} ; {CANADA}},
  booktitle = {},
  journal = {{E}volutionary {A}pplications},
  volume = {17},
  numero = {11},
  pages = {e70036 [17 p.]},
  ISSN = {1752-4571},
  year = {2024},
  DOI = {10.1111/eva.70036},
  URL = {https://www.documentation.ird.fr/hor/fdi:010092204},
}