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DNA reference libraries of French Guianese mosquitoes for barcoding and metabarcoding

The mosquito family (Diptera: Culicidae) constitutes the most medically important group of arthropods because certain species are vectors of human pathogens. In some parts of the world, the diversity is so high that the accurate delimitation and/or identification of species is challenging. A DNA-bas...

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Autores principales: Talaga, Stanislas, Leroy, Céline, Guidez, Amandine, Dusfour, Isabelle, Girod, Romain, Dejean, Alain, Murienne, Jérôme
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5456030/
https://www.ncbi.nlm.nih.gov/pubmed/28575090
http://dx.doi.org/10.1371/journal.pone.0176993
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author Talaga, Stanislas
Leroy, Céline
Guidez, Amandine
Dusfour, Isabelle
Girod, Romain
Dejean, Alain
Murienne, Jérôme
author_facet Talaga, Stanislas
Leroy, Céline
Guidez, Amandine
Dusfour, Isabelle
Girod, Romain
Dejean, Alain
Murienne, Jérôme
author_sort Talaga, Stanislas
collection PubMed
description The mosquito family (Diptera: Culicidae) constitutes the most medically important group of arthropods because certain species are vectors of human pathogens. In some parts of the world, the diversity is so high that the accurate delimitation and/or identification of species is challenging. A DNA-based identification system for all animals has been proposed, the so-called DNA barcoding approach. In this study, our objectives were (i) to establish DNA barcode libraries for the mosquitoes of French Guiana based on the COI and the 16S 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. We thus provide a substantial contribution to the global mosquito barcoding initiative. Our 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. Our results also validate the presence of new species identified based on morphology, plus potential cases of cryptic species. We found that both COI and 16S markers performed very well, with successful identifications at the species level of up to 98% for COI and 97% for 16S when compared to traditional taxonomy. This shows great potential for the use of metabarcoding for vector monitoring and eco-epidemiological studies.
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spelling pubmed-54560302017-06-12 DNA reference libraries of French Guianese mosquitoes for barcoding and metabarcoding Talaga, Stanislas Leroy, Céline Guidez, Amandine Dusfour, Isabelle Girod, Romain Dejean, Alain Murienne, Jérôme PLoS One Research Article The mosquito family (Diptera: Culicidae) constitutes the most medically important group of arthropods because certain species are vectors of human pathogens. In some parts of the world, the diversity is so high that the accurate delimitation and/or identification of species is challenging. A DNA-based identification system for all animals has been proposed, the so-called DNA barcoding approach. In this study, our objectives were (i) to establish DNA barcode libraries for the mosquitoes of French Guiana based on the COI and the 16S 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. We thus provide a substantial contribution to the global mosquito barcoding initiative. Our 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. Our results also validate the presence of new species identified based on morphology, plus potential cases of cryptic species. We found that both COI and 16S markers performed very well, with successful identifications at the species level of up to 98% for COI and 97% for 16S when compared to traditional taxonomy. This shows great potential for the use of metabarcoding for vector monitoring and eco-epidemiological studies. Public Library of Science 2017-06-02 /pmc/articles/PMC5456030/ /pubmed/28575090 http://dx.doi.org/10.1371/journal.pone.0176993 Text en © 2017 Talaga et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Talaga, Stanislas
Leroy, Céline
Guidez, Amandine
Dusfour, Isabelle
Girod, Romain
Dejean, Alain
Murienne, Jérôme
DNA reference libraries of French Guianese mosquitoes for barcoding and metabarcoding
title DNA reference libraries of French Guianese mosquitoes for barcoding and metabarcoding
title_full DNA reference libraries of French Guianese mosquitoes for barcoding and metabarcoding
title_fullStr DNA reference libraries of French Guianese mosquitoes for barcoding and metabarcoding
title_full_unstemmed DNA reference libraries of French Guianese mosquitoes for barcoding and metabarcoding
title_short DNA reference libraries of French Guianese mosquitoes for barcoding and metabarcoding
title_sort dna reference libraries of french guianese mosquitoes for barcoding and metabarcoding
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5456030/
https://www.ncbi.nlm.nih.gov/pubmed/28575090
http://dx.doi.org/10.1371/journal.pone.0176993
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