@article{fdi:010073861,
  title = {{V}ector soup : high-throughput identification of {N}eotropical phlebotomine sand flies using metabarcoding},
  author = {{K}ocher, {A}. and {G}antier, {J}.{C}. and {G}aborit, {P}. and {Z}inger, {L}. and {H}olota, {H}. and {V}ali{\`e}re, {S}. and {D}usfour, {I}. and {G}irod, {R}. and {B}añuls, {A}nne-{L}aure and {M}urienne, {J}.},
  editor = {},
  language = {{ENG}},
  abstract = {{P}hlebotomine sand flies are haematophagous dipterans of primary medical importance. {T}hey represent the only proven vectors of leishmaniasis worldwide and are involved in the transmission of various other pathogens. {S}tudying the ecology of sand flies is crucial to understand the epidemiology of leishmaniasis and further control this disease. {A} major limitation in this regard is that traditional morphological-based methods for sand fly species identifications are time-consuming and require taxonomic expertise. {DNA} metabarcoding holds great promise in overcoming this issue by allowing the identification of multiple species from a single bulk sample. {H}ere, we assessed the reliability of a short insect metabarcode located in the mitochondrial 16{S} r{RNA} for the identification of {N}eotropical sand flies, and constructed a reference database for 40 species found in {F}rench {G}uiana. {T}hen, we conducted a metabarcoding experiment on sand flies mixtures of known content and showed that the method allows an accurate identification of specimens in pools. {F}inally, we applied metabarcoding to field samples caught in a 1-ha forest plot in {F}rench {G}uiana. {B}esides providing reliable molecular data for species-level assignations of phlebotomine sand flies, our study proves the efficiency of metabarcoding based on the mitochondrial 16{S} r{RNA} for studying sand fly diversity from bulk samples. {T}he application of this high-throughput identification procedure to field samples can provide great opportunities for vector monitoring and eco-epidemiological studies.},
  keywords = {{LEISHMANIOSE} ; {VECTEUR} ; {ECOLOGIE} ; {GENETIQUE} {DE} {POPULATION} ; {ADN} ; {OBSERVATOIRE} ; {GUYANE} {FRANCAISE}},
  booktitle = {},
  journal = {{M}olecular {E}cology {R}esources},
  volume = {17},
  numero = {2},
  pages = {172--182},
  ISSN = {1755-098{X}},
  year = {2017},
  DOI = {10.1016/j.meegid.2017.02.012},
  URL = {https://www.documentation.ird.fr/hor/fdi:010073861},
}