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Field application of MALDI-TOF MS on mosquito larvae identification

Published online by Cambridge University Press:  03 August 2017

AMIRA NEBBAK ,
SEKOU KOUMARE ,
ALEXANDRA C. WILLCOX ,
JEAN-MICHEL BERENGER ,
DIDIER RAOULT ,
LIONEL ALMERAS  and
PHILIPPE PAROLA
AMIRA NEBBAK
Affiliation:
Aix Marseille Université, Unité de Recherche en Maladies Infectieuses et Tropicales Emergentes (URMITE), UM63, CNRS 7278, IRD 198 (Dakar, Sénégal), Inserm 1095, Institut Hospitalo-Universitaire Méditerranée Infection 19-21 Boulevard Jean Moulin 13385 Marseille cedex 05, France Laboratoire de Biodiversité et Environnement: Interactions génomes, Faculté des Sciences Biologiques, Université des Sciences et de la Technologie Houari Boumediene (USTHB), Bab Ezzouar, Algiers, Algeria
SEKOU KOUMARE
Affiliation:
Aix Marseille Université, Unité de Recherche en Maladies Infectieuses et Tropicales Emergentes (URMITE), UM63, CNRS 7278, IRD 198 (Dakar, Sénégal), Inserm 1095, Institut Hospitalo-Universitaire Méditerranée Infection 19-21 Boulevard Jean Moulin 13385 Marseille cedex 05, France Faculté de médecine, Malaria Research and Training Center, Université de Bamako, BP 1805, Mali
ALEXANDRA C. WILLCOX
Affiliation:
Aix Marseille Université, Unité de Recherche en Maladies Infectieuses et Tropicales Emergentes (URMITE), UM63, CNRS 7278, IRD 198 (Dakar, Sénégal), Inserm 1095, Institut Hospitalo-Universitaire Méditerranée Infection 19-21 Boulevard Jean Moulin 13385 Marseille cedex 05, France Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
JEAN-MICHEL BERENGER
Affiliation:
Aix Marseille Université, Unité de Recherche en Maladies Infectieuses et Tropicales Emergentes (URMITE), UM63, CNRS 7278, IRD 198 (Dakar, Sénégal), Inserm 1095, Institut Hospitalo-Universitaire Méditerranée Infection 19-21 Boulevard Jean Moulin 13385 Marseille cedex 05, France
DIDIER RAOULT
Affiliation:
Aix Marseille Université, Unité de Recherche en Maladies Infectieuses et Tropicales Emergentes (URMITE), UM63, CNRS 7278, IRD 198 (Dakar, Sénégal), Inserm 1095, Institut Hospitalo-Universitaire Méditerranée Infection 19-21 Boulevard Jean Moulin 13385 Marseille cedex 05, France
LIONEL ALMERAS
Affiliation:
Aix Marseille Université, Unité de Recherche en Maladies Infectieuses et Tropicales Emergentes (URMITE), UM63, CNRS 7278, IRD 198 (Dakar, Sénégal), Inserm 1095, Institut Hospitalo-Universitaire Méditerranée Infection 19-21 Boulevard Jean Moulin 13385 Marseille cedex 05, France Unité de Parasitologie et Entomologie, Département des Maladies Infectieuses, Institut de Recherche Biomédicale des Armées, Marseille, France
PHILIPPE PAROLA*
Affiliation:
Aix Marseille Université, Unité de Recherche en Maladies Infectieuses et Tropicales Emergentes (URMITE), UM63, CNRS 7278, IRD 198 (Dakar, Sénégal), Inserm 1095, Institut Hospitalo-Universitaire Méditerranée Infection 19-21 Boulevard Jean Moulin 13385 Marseille cedex 05, France
*
*Address for correspondence: Unité de Recherche en Maladies Infectieuses et Tropicales Emergentes (URMITE), Institut Hospitalo-Universitaire Méditerranée Infection, 19-21 bd Jean Moulin, 13385 Marseille cedex 5, France. E-mail: philippe.parola@univ-amu.fr
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Summary

In recent years, matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) has emerged as an efficient tool for arthropod identification. Its application for field monitoring of adult mosquitoes was demonstrated, but identification of larvae has been limited to laboratory-reared specimens. Study aim was to test the success of MALDI-TOF MS in correctly identifying mosquito larvae collected in the field. Collections were performed at 13 breeding sites in urban areas of Marseille, a city in the South of France. A total of 559 larvae were collected. Of these, 73 were accurately morphologically identified, with confirmation either by molecular identification (n = 31) or analysis with MALDI-TOF MS (n = 31) and 11 were tested using both methods. The larvae identified belonged to six species including Culiseta longiareolata, Culex pipiens pipiens, Culex hortensis, Aedes albopictus, Ochlerotatus caspius and Anopheles maculipennis. A high intra-species reproducibility and inter-species specificity of whole larva MS spectra was obtained and was independent of breeding site. More than 92% of the remaining 486 larvae were identified in blind tests against the MS spectra database. Identification rates were lower for early and pupal stages, which is attributed to lower protein abundance and metamorphosis, respectively. The suitability of MALDI-TOF MS for mosquito larvae identification from the field has been confirmed.

Keywords

Mosquito larvae identificationMALDI-TOF MS
Type
Special Issue Article
Information
Parasitology , Volume 145 , Special Issue 5: Advances and challenges in barcoding of microbes, parasites, and their vectors and reservoirs , April 2018 , pp. 677 - 687
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Copyright
Copyright © Cambridge University Press 2017 

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