Objective To explore the sample conditions for the matrix-assisted laser desorption/ionization-time of flight-mass spectrometry (MALDI-TOF MS) method used for mosquito species identification, so as to provide a basis for establishing a MALDI-TOF MS method for rapid and accurate mosquito species identification. Methods Four laboratory mosquito strains, namely Aedes albopictus, Culex pipiens pallens, Cx. tritaeniorhynchus, and Anopheles sinensis, were selected as the study subjects. The MALDI-TOF MS method was used to analyze the samples from these mosquitoes for collecting peptide mass fingerprint and establishing a fingerprint database for mosquito species identification. The samples varied by body part (whole body, head, thorax, and foot), preservation method (cryopreservation at -20°C or dry preservation in silica gel), and blood-sucking status (non-blood-sucked and blood-sucked). The accuracy of this database was evaluated through internal cross-validation with 120 samples and identification scores using the software's standard parameters. Results Except for the abdomen, the fingerprints of the thorax, foot, and head of each mosquito species were clustered into one group, and different preservation method and blood-feeding status of those mosquitoes did not have any impact on the clustering results of mosquito species identification. At the same time, 120 samples were cross validated within the database, and the results were consistent with the morphological identification results, with identification scores >2.00. Only 1 μl of protein extract was allowed for the identification of mosquito species. Conclusions The head, thorax, and legs of mosquitoes can all be used for mosquito species identification by the MALDI-TOF MS method, and the blood-feeding status of mosquitoes and sample preservation methods do not affect mosquito identification results.The MALDI-TOF MS method can be used for mosquito species identification and offers the advantages of rapidity, accuracy, and sensitivity. These features make it highly useful for mosquito species identification.
GE Wen-jun, XIAO Di, ZHANG Hui-fang, ZHAO Chun-chun, LUN Xin-chang, SONG Xiu-ping, GUO Yu-hong, LIANG Ying, LIU Qi-yong, MENG Feng-xia
. A preliminary study on the identification of mosquito species based on MALDI-TOF MS[J]. Chinese Journal of Vector Biology and Control, 2025
, 36(2)
: 238
-245
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DOI: 10.11853/j.issn.1003.8280.2025.02.016
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