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

• DOI: 10.1371/journal.pone.0305167
• Publication Date: 2024-07-05T17:24:41Z
• Authors: Victor Chaumeau; Martine Piarroux; Thithiworada Kula...; Sunisa Sawasdichai; Aritsara Inta; Wanitda Watthanaw...; François Nosten; Renaud Piarroux; Cécile Nabet
• Keywords: Science; Q; R; Mosquito Vectors; Thailand; Malaria; [SDV] Life Sciences [q-bio]; Species Specificity; Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization; Anopheles; Medicine; Animals; DNA Barcoding, Taxonomic; Asia, Southeastern; Research Article

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.