Evidence map›Paper›PMID 25442218›Full record

ArticleParasites & vectors2014

Accurate identification of Culicidae at aquatic developmental stages by MALDI-TOF MS profiling.

Constentin Dieme, Amina Yssouf, Anubis Vega-Rúa, Jean-Michel Berenger, Anna-Bella Failloux, Didier Raoult, Philippe Parola, Lionel Almeras

Abstract read
In one paragraph

Article in Parasites & vectors, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

37 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  9. Identification of NeotropicalTropical medicine and infectious disease · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Constentin DiemeAix Marseille Université, Unité de Recherche en Maladies Infectieuses et Tropicales Emergentes (URMITE), UM63, CNRS 7278, IRD 198 (Dakar, Sénégal), Inserm 1095, WHO collaborative center for rickettsioses and other arthropod borne bacterial diseases, Faculté de Médecine, 27 bd Jean Moulin, 13385, Marseille cedex 5, France. caiusdieme@yahoo.fr.
Amina YssoufAix Marseille Université, Unité de Recherche en Maladies Infectieuses et Tropicales Emergentes (URMITE), UM63, CNRS 7278, IRD 198 (Dakar, Sénégal), Inserm 1095, WHO collaborative center for rickettsioses and other arthropod borne bacterial diseases, Faculté de Médecine, 27 bd Jean Moulin, 13385, Marseille cedex 5, France. yssoufamina@yahoo.fr.
Anubis Vega-RúaDepartment of Virology, Institut Pasteur, Arboviruses and Insect Vectors, Paris, France. avega@pasteur.fr.
Jean-Michel BerengerAix Marseille Université, Unité de Recherche en Maladies Infectieuses et Tropicales Emergentes (URMITE), UM63, CNRS 7278, IRD 198 (Dakar, Sénégal), Inserm 1095, WHO collaborative center for rickettsioses and other arthropod borne bacterial diseases, Faculté de Médecine, 27 bd Jean Moulin, 13385, Marseille cedex 5, France. jmberenger@free.fr.
Anna-Bella FaillouxDepartment of Virology, Institut Pasteur, Arboviruses and Insect Vectors, Paris, France. anna-bella.failloux@pasteur.fr.
Didier RaoultAix Marseille Université, Unité de Recherche en Maladies Infectieuses et Tropicales Emergentes (URMITE), UM63, CNRS 7278, IRD 198 (Dakar, Sénégal), Inserm 1095, WHO collaborative center for rickettsioses and other arthropod borne bacterial diseases, Faculté de Médecine, 27 bd Jean Moulin, 13385, Marseille cedex 5, France. didier.raoult@gmail.com.
Philippe ParolaAix Marseille Université, Unité de Recherche en Maladies Infectieuses et Tropicales Emergentes (URMITE), UM63, CNRS 7278, IRD 198 (Dakar, Sénégal), Inserm 1095, WHO collaborative center for rickettsioses and other arthropod borne bacterial diseases, Faculté de Médecine, 27 bd Jean Moulin, 13385, Marseille cedex 5, France. philippe.parola@univ-amu.fr.
Lionel AlmerasAix Marseille Université, Unité de Recherche en Maladies Infectieuses et Tropicales Emergentes (URMITE), UM63, CNRS 7278, IRD 198 (Dakar, Sénégal), Inserm 1095, WHO collaborative center for rickettsioses and other arthropod borne bacterial diseases, Faculté de Médecine, 27 bd Jean Moulin, 13385, Marseille cedex 5, France. almeras.lionel@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe identification of mosquito vectors is generally based on morphological criteria, but for aquatic stages, morphological characteristics may be missing, leading to incomplete or incorrect identification. The high cost of molecular biology techniques requires the development of an alternative strategy. In the last decade, matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) profiling has proved to be efficient for arthropod identification at the species level.

methodsTo investigate the usefulness of MALDI-TOF MS for the identification of mosquitoes at aquatic stages, optimizations of sample preparation, diet, body parts and storage conditions were tested. Protein extracts of whole specimens from second larval stage to pupae were selected for the creation of a reference spectra database. The database included a total of 95 laboratory-reared specimens of 6 mosquito species, including Anopheles gambiae (S form), Anopheles coluzzi (M form), Culex pipiens pipiens, Culex pipiens molestus, Aedes aegypti and 2 colonies of Aedes albopictus.

resultsThe present study revealed that whole specimens at aquatic stages produced reproducible and singular spectra according to the mosquito species. Moreover, MS protein profiles appeared weakly affected by the diet provided. Despite the low diversity of some MS profiles, notably for cryptic species, clustering analyses correctly classified all specimens tested at the species level followed by the clustering of early vs. late aquatic developmental stages. Discriminant mass peaks were recorded for the 6 mosquito species analyzed at larval stage 3 and the pupal stage. Querying against the reference spectra database of 149 new specimens at different aquatic stages from the 6 mosquito species revealed that 147 specimens were correctly identified at the species level and that early and late developmental stages were also distinguished.

conclusionsThe present work highlights that MALDI-TOF MS profiling may be useful for the rapid and reliable identification of mosquito species at aquatic stages. With this proteomic tool, it becomes now conceivable to survey mosquito breeding sites prior to the mosquitoes' emergence and to adapt anti-vectorial measures according to the mosquito fauna detected.

Indexed as

AnimalsBiomarkersCulicidaeLarvaPupaSpecies SpecificitySpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationBiomarkers

Identifiers

PMID25442218
PMCPMC4273427

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.