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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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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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. |
format | Online Article Text |
id | pubmed-6215610 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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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