Identification of Southeast Asian Anopheles mosquito species using MALDI-TOF mass spectrometry.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2024
Historique:
received: 20 03 2024
accepted: 24 05 2024
medline: 5 7 2024
pubmed: 5 7 2024
entrez: 5 7 2024
Statut: epublish

Résumé

Malaria elimination in Southeast Asia remains a challenge, underscoring the importance of accurately identifying malaria mosquitoes to understand transmission dynamics and improve vector control. Traditional methods such as morphological identification require extensive training and cannot distinguish between sibling species, while molecular approaches are costly for extensive screening. Matrix-assisted laser desorption and ionization time-of-flight mass spectrometry (MALDI-TOF MS) has emerged as a rapid and cost-effective tool for Anopheles species identification, yet its current use is limited to few specialized laboratories. This study aimed to develop and validate an online reference database for MALDI-TOF MS identification of Southeast Asian Anopheles species. The database, constructed using the in-house data analysis pipeline MSI2 (Sorbonne University), comprised 2046 head mass spectra from 209 specimens collected at the Thailand-Myanmar border. Molecular identification via COI and ITS2 DNA barcodes enabled the identification of 20 sensu stricto species and 5 sibling species complexes. The high quality of the mass spectra was demonstrated by a MSI2 median score (min-max) of 61.62 (15.94-77.55) for correct answers, using the best result of four technical replicates of a test panel. Applying an identification threshold of 45, 93.9% (201/214) of the specimens were identified, with 98.5% (198/201) consistency with the molecular taxonomic assignment. In conclusion, MALDI-TOF MS holds promise for malaria mosquito identification and can be scaled up for entomological surveillance in Southeast Asia. The free online sharing of our database on the MSI2 platform (https://msi.happy-dev.fr/) represents an important step towards the broader use of MALDI-TOF MS in malaria vector surveillance.

Identifiants

pubmed: 38968228
doi: 10.1371/journal.pone.0305167
pii: PONE-D-24-11167
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0305167

Informations de copyright

Copyright: © 2024 Chaumeau et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

Auteurs

Victor Chaumeau (V)

Faculty of Tropical Medicine, Shoklo Malaria Research Unit, Mahidol-Oxford Research Unit, Mahidol University, Mae Ramat, Thailand.
Nuffield Department of Medicine, Centre for Tropical Medicine and Global Health, University of Oxford, Oxford, United Kingdom.

Martine Piarroux (M)

Institut Pierre-Louis d'Epidémiologie et de Santé Publique, Inserm, IPLESP, AP-HP, Groupe Hospitalier Pitié-Salpêtrière, Service de Parasitologie-Mycologie, Sorbonne Université, Paris, France.

Thithiworada Kulabkeeree (T)

Faculty of Tropical Medicine, Shoklo Malaria Research Unit, Mahidol-Oxford Research Unit, Mahidol University, Mae Ramat, Thailand.

Sunisa Sawasdichai (S)

Faculty of Tropical Medicine, Shoklo Malaria Research Unit, Mahidol-Oxford Research Unit, Mahidol University, Mae Ramat, Thailand.

Aritsara Inta (A)

Faculty of Tropical Medicine, Shoklo Malaria Research Unit, Mahidol-Oxford Research Unit, Mahidol University, Mae Ramat, Thailand.

Wanitda Watthanaworawit (W)

Faculty of Tropical Medicine, Shoklo Malaria Research Unit, Mahidol-Oxford Research Unit, Mahidol University, Mae Ramat, Thailand.

François Nosten (F)

Faculty of Tropical Medicine, Shoklo Malaria Research Unit, Mahidol-Oxford Research Unit, Mahidol University, Mae Ramat, Thailand.
Nuffield Department of Medicine, Centre for Tropical Medicine and Global Health, University of Oxford, Oxford, United Kingdom.

Renaud Piarroux (R)

Institut Pierre-Louis d'Epidémiologie et de Santé Publique, Inserm, IPLESP, AP-HP, Groupe Hospitalier Pitié-Salpêtrière, Service de Parasitologie-Mycologie, Sorbonne Université, Paris, France.

Cécile Nabet (C)

Institut Pierre-Louis d'Epidémiologie et de Santé Publique, Inserm, IPLESP, AP-HP, Groupe Hospitalier Pitié-Salpêtrière, Service de Parasitologie-Mycologie, Sorbonne Université, Paris, France.

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Classifications MeSH