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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
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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. |
format | Online Article Text |
id | pubmed-7444543 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
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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