@article{PAR00026103,
  title = {{M}onitoring mosquito richness in an understudied area : can environmental {DNA} metabarcoding be a complementary approach to adult trapping ?},
  author = {{G}utierrez-{L}opez, {R}. and {E}geter, {B}. and {P}aupy, {C}hristophe and {R}ahola, {N}il and {M}akanga, {B}. and {J}iolle, {D}. and {B}ourret, {V}. and {M}elo, {M}. and {L}oiseau, {C}.},
  editor = {},
  language = {{ENG}},
  abstract = {{M}osquito surveillance programmes are essential to assess the risks of local vector-borne disease outbreaks as well as for early detection of mosquito invasion events. {S}urveys are usually performed with traditional sampling tools (i.e., ovitraps and dipping method for immature stages or light or decoy traps for adults). {O}ver the past decade, numerous studies have highlighted that environmental {DNA} (e{DNA}) sampling can enhance invertebrate species detection and provide community composition metrics. {H}owever, the usefulness of e{DNA} for detection of mosquito species has, to date, been largely neglected. {H}ere, we sampled water from potential larval breeding sites along a gradient of anthropogenic perturbations, from the core of an oil palm plantation to the rainforest on {S}ao {T}ome {I}sland ({G}ulf of {G}uinea, {A}frica). {W}e showed that (i) species of mosquitoes could be detected via metabarcoding mostly when larvae were visible, (ii) larvae species richness was greater using e{DNA} than visual identification and (iii) new mosquito species were also detected by the e{DNA} approach. {W}e provide a critical discussion of the pros and cons of e{DNA} metabarcoding for monitoring mosquito species diversity and recommendations for future research directions that could facilitate the adoption of e{DNA} as a tool for assessing insect vector communities.},
  keywords = {{I}nvasive species ; metabarcoding ; oil palm plantation ; rainforest ; vectors ; {GOLFE} {DE} {GUINEE} ; {SAO} {TOME}},
  booktitle = {},
  journal = {{B}ulletin of {E}ntomological {R}esearch},
  volume = {[{E}arly access]},
  numero = {},
  pages = {{PII} {S}0007485323000147 [ p.]},
  ISSN = {0007-4853},
  year = {2023},
  DOI = {10.1017/s0007485323000147},
  URL = {https://www.documentation.ird.fr/hor/{PAR}00026103},
}