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A Multi-detection Assay for Malaria Transmitting Mosquitoes
Published on: February 28, 2015
Identification of Algerian field-caught mosquito vectors by MALDI-TOF MS
Zakaria Abdellahoum1, Amira Nebbak2, Ismail Lafri3
1Laboratoire Biodiversité et Environnement: Interaction Génome, Faculté des Sciences Biologique, Université des Sciences et de la Technologie Houari Boumediene, Alger 16111, Algeria.
Abstract:
Vector-borne diseases represent a real threats worldwide, in reason of the lack of vaccine and cure for some diseases. Among arthropod vectors, mosquitoes are described to be the most dangerous animal on earth, resulting in an estimated 725,000 deaths per year due to their borne diseases. Geographical position of Algeria makes this country a high risk area for emerging and re-emerging diseases, such as dengue coming from north (Europe) and malaria from south (Africa). To prevent these threats, rapid and continuous surveillance of mosquito vectors is essential. For this purpose we aimed in this study to create a mosquito vectors locale database using MALDI-TOF mass spectrometry technology for rapid identification of these arthropods. This methodology was validated by testing 211 mosquitoes, including four species (Aedes albopictus, Culex pipiens, Culex quinquefasciatus, and Culiseta longiareolata), in two northern wilayahs of Algeria (Algiers and Bejaia). Species determination by MALDI TOF MS was highly concordant with reference phenotypic and genetic methods. Using this MALDI-TOF MS tool will allow better surveillance of mosquito species able to transmit mosquito borne diseases in Algeria.
Insights
This study developed a rapid mosquito identification database using MALDI-TOF mass spectrometry. This tool enhances surveillance of disease-carrying mosquitoes in Algeria, crucial for public health.
Area of Science:
- Medical Entomology
- Public Health
- Biotechnology
Background:
- Vector-borne diseases pose significant global health threats due to limited vaccines and cures.
- Mosquitoes are the deadliest animals, transmitting diseases causing hundreds of thousands of deaths annually.
- Algeria's location makes it vulnerable to emerging and re-emerging mosquito-borne diseases like dengue and malaria.
Purpose of the Study:
- To establish a localized database for rapid mosquito vector identification in Algeria.
- To implement MALDI-TOF mass spectrometry for efficient and accurate arthropod identification.
- To support enhanced surveillance of disease-transmitting mosquito species.
Main Methods:
- Development of a mosquito vector database utilizing MALDI-TOF mass spectrometry.
- Validation of the methodology by testing 211 mosquitoes from four species: Aedes albopictus, Culex pipiens, Culex quinquefasciatus, and Culiseta longiareolata.
- Testing conducted in Algiers and Bejaia, northern Algeria, comparing MALDI-TOF MS results with phenotypic and genetic methods.
Main Results:
- MALDI-TOF mass spectrometry provided highly concordant species identification compared to traditional methods.
- The validated methodology demonstrated accuracy in distinguishing between the tested mosquito species.
- Successful creation of a mosquito vector locale database for Algeria.
Conclusions:
- MALDI-TOF mass spectrometry is a reliable tool for rapid mosquito identification in Algeria.
- The developed database and methodology will significantly improve mosquito surveillance programs.
- Enhanced surveillance is critical for preventing and controlling the spread of mosquito-borne diseases in the region.

