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Identification of French Guiana anopheline mosquitoes by MALDI-TOF MS profiling using protein signatures from two body parts

In French Guiana, the malaria, a parasitic infection transmitted by Anopheline mosquitoes, remains a disease of public health importance. To prevent malaria transmission, the main effective way remains Anopheles control. For an effective control, accurate Anopheles species identification is indispen...

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Autores principales: Briolant, Sébastien, Costa, Monique Melo, Nguyen, Christophe, Dusfour, Isabelle, Pommier de Santi, Vincent, Girod, Romain, Almeras, Lionel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7444543/
https://www.ncbi.nlm.nih.gov/pubmed/32817616
http://dx.doi.org/10.1371/journal.pone.0234098
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author Briolant, Sébastien
Costa, Monique Melo
Nguyen, Christophe
Dusfour, Isabelle
Pommier de Santi, Vincent
Girod, Romain
Almeras, Lionel
author_facet Briolant, Sébastien
Costa, Monique Melo
Nguyen, Christophe
Dusfour, Isabelle
Pommier de Santi, Vincent
Girod, Romain
Almeras, Lionel
author_sort Briolant, Sébastien
collection PubMed
description In French Guiana, the malaria, a parasitic infection transmitted by Anopheline mosquitoes, remains a disease of public health importance. To prevent malaria transmission, the main effective way remains Anopheles control. For an effective control, accurate Anopheles species identification is indispensable to distinguish malaria vectors from non-vectors. Although, morphological and molecular methods are largely used, an innovative tool, based on protein pattern comparisons, the Matrix Assisted Laser Desorption / Ionization Time-of-Flight Mass Spectrometry (MALDI-TOF MS) profiling, emerged this last decade for arthropod identification. However, the limited mosquito fauna diversity of reference MS spectra remains one of the main drawback for its large usage. The aim of the present study was then to create and to share reference MS spectra for the identification of French Guiana Anopheline species. A total of eight distinct Anopheles species, among which four are malaria vectors, were collected in 6 areas. To improve Anopheles identification, two body parts, legs and thoraxes, were independently submitted to MS for the creation of respective reference MS spectra database (DB). This study underlined that double checking by MS enhanced the Anopheles identification confidence and rate of reliable classification. The sharing of this reference MS spectra DB should make easier Anopheles species monitoring in endemic malaria area to help malaria vector control or elimination programs.
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spelling pubmed-74445432020-08-27 Identification of French Guiana anopheline mosquitoes by MALDI-TOF MS profiling using protein signatures from two body parts Briolant, Sébastien Costa, Monique Melo Nguyen, Christophe Dusfour, Isabelle Pommier de Santi, Vincent Girod, Romain Almeras, Lionel PLoS One Research Article In French Guiana, the malaria, a parasitic infection transmitted by Anopheline mosquitoes, remains a disease of public health importance. To prevent malaria transmission, the main effective way remains Anopheles control. For an effective control, accurate Anopheles species identification is indispensable to distinguish malaria vectors from non-vectors. Although, morphological and molecular methods are largely used, an innovative tool, based on protein pattern comparisons, the Matrix Assisted Laser Desorption / Ionization Time-of-Flight Mass Spectrometry (MALDI-TOF MS) profiling, emerged this last decade for arthropod identification. However, the limited mosquito fauna diversity of reference MS spectra remains one of the main drawback for its large usage. The aim of the present study was then to create and to share reference MS spectra for the identification of French Guiana Anopheline species. A total of eight distinct Anopheles species, among which four are malaria vectors, were collected in 6 areas. To improve Anopheles identification, two body parts, legs and thoraxes, were independently submitted to MS for the creation of respective reference MS spectra database (DB). This study underlined that double checking by MS enhanced the Anopheles identification confidence and rate of reliable classification. The sharing of this reference MS spectra DB should make easier Anopheles species monitoring in endemic malaria area to help malaria vector control or elimination programs. Public Library of Science 2020-08-20 /pmc/articles/PMC7444543/ /pubmed/32817616 http://dx.doi.org/10.1371/journal.pone.0234098 Text en © 2020 Briolant 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
Briolant, Sébastien
Costa, Monique Melo
Nguyen, Christophe
Dusfour, Isabelle
Pommier de Santi, Vincent
Girod, Romain
Almeras, Lionel
Identification of French Guiana anopheline mosquitoes by MALDI-TOF MS profiling using protein signatures from two body parts
title Identification of French Guiana anopheline mosquitoes by MALDI-TOF MS profiling using protein signatures from two body parts
title_full Identification of French Guiana anopheline mosquitoes by MALDI-TOF MS profiling using protein signatures from two body parts
title_fullStr Identification of French Guiana anopheline mosquitoes by MALDI-TOF MS profiling using protein signatures from two body parts
title_full_unstemmed Identification of French Guiana anopheline mosquitoes by MALDI-TOF MS profiling using protein signatures from two body parts
title_short Identification of French Guiana anopheline mosquitoes by MALDI-TOF MS profiling using protein signatures from two body parts
title_sort identification of french guiana anopheline mosquitoes by maldi-tof ms profiling using protein signatures from two body parts
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7444543/
https://www.ncbi.nlm.nih.gov/pubmed/32817616
http://dx.doi.org/10.1371/journal.pone.0234098
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