Detection and Identification of Wolbachia pipientis Strains in Mosquito Eggs Using Attenuated Total Reflection
Dale Christensen1,2, Aazam Khoshmanesh1, David Perez-Guaita1,3
1Centre for Biospectroscopy, School of Chemistry, 2541Monash University, Clayton, Australia.
Abstract:
The global fight against mosquito-borne viral diseases has in recent years been bolstered by the introduction of the endosymbiotic bacteria Wolbachia to vector populations, which in host mosquitoes suppresses the transmissibility of several viruses. Researchers engaged on this front of the battle often need to know the Wolbachia infection status of individual mosquitoes, as the intervention progresses and the mosquitoes become established in the target population. Previously, we successfully applied attenuated total reflection Fourier transform infrared spectroscopy to the detection of Wolbachia in adult Aedes aegypti mosquitoes; here we apply the same principles to Aedes eggs, with sensitivity and selectivity > 0.95. Further, we successfully distinguish between infections in eggs of the wMel and wMelPop strains of Wolbachia pipientis, with a classification error of 3%. The disruption of host lipid profile by Wolbachia is found to be a key driver in spectral differences between these sample classes.
Insights
Researchers developed a new spectroscopic method to detect Wolbachia bacteria in mosquito eggs. This technique accurately identifies infection status and distinguishes between different Wolbachia strains, aiding mosquito-borne disease control efforts.
Area of Science:
- Vector-borne disease control
- Microbial ecology
- Spectroscopic analysis
Background:
- Mosquito-borne viral diseases pose a significant global health threat.
- The endosymbiotic bacteria Wolbachia can suppress virus transmission in mosquito vectors.
- Accurate detection of Wolbachia infection in mosquitoes is crucial for population-level interventions.
Purpose of the Study:
- To adapt attenuated total reflection Fourier transform infrared spectroscopy for detecting Wolbachia in Aedes eggs.
- To assess the sensitivity and selectivity of the method for Wolbachia detection in eggs.
- To differentiate between specific Wolbachia strains (wMel and wMelPop) within infected eggs.
Main Methods:
- Application of attenuated total reflection Fourier transform infrared spectroscopy (ATR-FTIR) to Aedes eggs.
- Analysis of spectral data to determine Wolbachia infection status and strain.
- Investigation of host lipid profile changes as a basis for spectral discrimination.
Main Results:
- Achieved high sensitivity and selectivity (>0.95) for Wolbachia detection in Aedes eggs using ATR-FTIR.
- Successfully distinguished between wMel and wMelPop Wolbachia strains in eggs with a low classification error (3%).
- Identified alterations in the host lipid profile as a key factor contributing to spectral differences.
Conclusions:
- ATR-FTIR spectroscopy is a sensitive and selective method for detecting Wolbachia in Aedes eggs.
- The technique enables differentiation between key Wolbachia strains, supporting intervention monitoring.
- Host lipid profile disruption by Wolbachia is a significant spectral marker for infection.
