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.

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.