@article{fdi:010070228, title = {{DNA} reference libraries of {F}rench {G}uianese mosquitoes for barcoding and metabarcoding}, author = {{T}alaga, {S}. and {L}eroy, {C}{\'e}line and {G}uidez, {A}. and {D}usfour, {I}. and {G}irod, {R}. and {D}ejean, {A}. and {M}urienne, {J}.}, editor = {}, language = {{ENG}}, abstract = {{T}he mosquito family ({D}iptera: {C}ulicidae) constitutes the most medically important group of arthropods because certain species are vectors of human pathogens. {I}n some parts of the world, the diversity is so high that the accurate delimitation and/or identification of species is challenging. {A} {DNA}-basedidentification system for all animals has been proposed, the socalled {DNA} barcoding approach. {I}n this study, our objectives were (i) to establish {DNA} barcode libraries for the mosquitoes of {F}rench {G}uiana based on the {COI} and the 16{S} markers, (ii) to compare distance-based and tree-based methods of species delimitation to traditional taxonomy, and (iii) to evaluate the accuracy of each marker in identifying specimens. {A} total of 266 specimens belonging to 75 morphologically identified species or morphospecies were analyzed allowing us to delimit 86 {DNA} clusters with only 21 of them already present in the {BOLD} database. {W}e thus provide a substantial contribution to the global mosquito barcoding initiative. {O}ur results confirm that {DNA} barcodes can be successfully used to delimit and identify mosquito species with only a few cases where the marker could not distinguish closely related species. {O}ur results also validate the presence of new species identified based on morphology, plus potential cases of cryptic species. {W}e found that both {COI} and 16{S} markers performed very well, with successful identifications at the species level of up to 98% for {COI} and 97% for 16{S} when compared to traditional taxonomy. {T}his shows great potential for the use of metabarcoding for vector monitoring and eco-epidemiological studies.}, keywords = {{GUYANE} {FRANCAISE}}, booktitle = {}, journal = {{P}los {O}ne}, volume = {12}, numero = {6}, pages = {e0176993 [14 p.]}, ISSN = {1932-6203}, year = {2017}, DOI = {10.13713/journal.pone.0176993}, URL = {https://www.documentation.ird.fr/hor/fdi:010070228}, }