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Improvement of mosquito identification by MALDI-TOF MS biotyping using protein signatures from two body parts

BACKGROUND: Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry technology (MALDI-TOF MS) is an innovative tool that has been shown to be effective for the identification of numerous arthropod groups including mosquitoes. A critical step in the implementation of MALDI-TOF MS...

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Autores principales: Vega-Rúa, Anubis, Pagès, Nonito, Fontaine, Albin, Nuccio, Christopher, Hery, Lyza, Goindin, Daniella, Gustave, Joel, Almeras, Lionel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6215610/
https://www.ncbi.nlm.nih.gov/pubmed/30390691
http://dx.doi.org/10.1186/s13071-018-3157-1
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author Vega-Rúa, Anubis
Pagès, Nonito
Fontaine, Albin
Nuccio, Christopher
Hery, Lyza
Goindin, Daniella
Gustave, Joel
Almeras, Lionel
author_facet Vega-Rúa, Anubis
Pagès, Nonito
Fontaine, Albin
Nuccio, Christopher
Hery, Lyza
Goindin, Daniella
Gustave, Joel
Almeras, Lionel
author_sort Vega-Rúa, Anubis
collection PubMed
description BACKGROUND: Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry technology (MALDI-TOF MS) is an innovative tool that has been shown to be effective for the identification of numerous arthropod groups including mosquitoes. A critical step in the implementation of MALDI-TOF MS identification is the creation of spectra databases (DB) for the species of interest. Mosquito legs were the body part most frequently used to create identification DB. However, legs are one of the most fragile mosquito compartments, which can put identification at risk. Here, we assessed whether mosquito thoraxes could also be used as a relevant body part for mosquito species identification using a MALDI-TOF MS biotyping strategy; we propose a double DB query strategy to reinforce identification success. METHODS: Thoraxes and legs from 91 mosquito specimens belonging to seven mosquito species collected in six localities from Guadeloupe, and two laboratory strains, Aedes aegypti BORA and Aedes albopictus Marseille, were dissected and analyzed by MALDI-TOF MS. Molecular identification using cox1 gene sequencing was also conducted on representative specimens to confirm their identification. RESULTS: MS profiles obtained with both thoraxes and legs were highly compartment-specific, species-specific and species-reproducible, allowing high identification scores (log-score values, LSVs) when queried against the in-house MS reference spectra DB (thorax LSVs range: 2.260–2.783, leg LSVs range: 2.132–2.753). CONCLUSIONS: Both thoraxes and legs could be used for a double DB query in order to reinforce the success and accuracy of MALDI-TOF MS identification. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13071-018-3157-1) contains supplementary material, which is available to authorized users.
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spelling pubmed-62156102018-11-08 Improvement of mosquito identification by MALDI-TOF MS biotyping using protein signatures from two body parts Vega-Rúa, Anubis Pagès, Nonito Fontaine, Albin Nuccio, Christopher Hery, Lyza Goindin, Daniella Gustave, Joel Almeras, Lionel Parasit Vectors Research BACKGROUND: Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry technology (MALDI-TOF MS) is an innovative tool that has been shown to be effective for the identification of numerous arthropod groups including mosquitoes. A critical step in the implementation of MALDI-TOF MS identification is the creation of spectra databases (DB) for the species of interest. Mosquito legs were the body part most frequently used to create identification DB. However, legs are one of the most fragile mosquito compartments, which can put identification at risk. Here, we assessed whether mosquito thoraxes could also be used as a relevant body part for mosquito species identification using a MALDI-TOF MS biotyping strategy; we propose a double DB query strategy to reinforce identification success. METHODS: Thoraxes and legs from 91 mosquito specimens belonging to seven mosquito species collected in six localities from Guadeloupe, and two laboratory strains, Aedes aegypti BORA and Aedes albopictus Marseille, were dissected and analyzed by MALDI-TOF MS. Molecular identification using cox1 gene sequencing was also conducted on representative specimens to confirm their identification. RESULTS: MS profiles obtained with both thoraxes and legs were highly compartment-specific, species-specific and species-reproducible, allowing high identification scores (log-score values, LSVs) when queried against the in-house MS reference spectra DB (thorax LSVs range: 2.260–2.783, leg LSVs range: 2.132–2.753). CONCLUSIONS: Both thoraxes and legs could be used for a double DB query in order to reinforce the success and accuracy of MALDI-TOF MS identification. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13071-018-3157-1) contains supplementary material, which is available to authorized users. BioMed Central 2018-11-03 /pmc/articles/PMC6215610/ /pubmed/30390691 http://dx.doi.org/10.1186/s13071-018-3157-1 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Vega-Rúa, Anubis
Pagès, Nonito
Fontaine, Albin
Nuccio, Christopher
Hery, Lyza
Goindin, Daniella
Gustave, Joel
Almeras, Lionel
Improvement of mosquito identification by MALDI-TOF MS biotyping using protein signatures from two body parts
title Improvement of mosquito identification by MALDI-TOF MS biotyping using protein signatures from two body parts
title_full Improvement of mosquito identification by MALDI-TOF MS biotyping using protein signatures from two body parts
title_fullStr Improvement of mosquito identification by MALDI-TOF MS biotyping using protein signatures from two body parts
title_full_unstemmed Improvement of mosquito identification by MALDI-TOF MS biotyping using protein signatures from two body parts
title_short Improvement of mosquito identification by MALDI-TOF MS biotyping using protein signatures from two body parts
title_sort improvement of mosquito identification by maldi-tof ms biotyping using protein signatures from two body parts
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6215610/
https://www.ncbi.nlm.nih.gov/pubmed/30390691
http://dx.doi.org/10.1186/s13071-018-3157-1
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