Rapid evaporative ionisation mass spectrometry can age field caught Anopheles gambiae malaria vectors

Reliable estimates of the age structure of malaria mosquitoes would aid evaluation of the efficacy of vector control and inform models of malaria transmission. We have previously shown that rapid evaporative ionisation mass spectrometry (REIMS) could determine the age and species of laboratory reared mosquitoes and culicine mosquitoes from a river estuary in the United Kingdom. Here we investigated the robustness of this methodology by introducing additional environmental, genetic and physiological diversity in experiments using laboratory reared and field collected Anopheles gambiae mosquitoes. REIMS reliably separated mosquitoes into 3 or 5 age groups with > 80% accuracy using mosquitoes of mixed physiological status reared in insectaries or collected from semi-field stations in Burkina Faso. In addition, REIMS could distinguish mosquitoes that were nulliparous from those that had undergone one or two oviposition cycles with an accuracy of 87%. In a proof of principle experiment REIMS readily distinguished mosquitoes infected with Plasmodium berghei from non-infected. Furthermore, we show that age grading is possible using only mosquito abdomens, leaving biomass for further molecular biological experiments. Finally, we used the model generated from mixed field collections to estimate the age structure of mosquitoes collected from inside houses.

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Publication Details

Journal
Scientific Reports
Published
2025-06-02
DOI
https://doi.org/10.1038/s41598-025-03779-x
Primary Topic
Malaria Research and Control
Type
article
Field-Weighted Citation Impact
0.00

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article

Rapid evaporative ionisation mass spectrometry can age field caught Anopheles gambiae malaria vectors

Roger Sanou, Antoine Sanou, Abdoulaye Diabaté, Hilary Ranson et al.
Scientific Reports
Malaria Research and Control
article

Rapid evaporative ionisation mass spectrometry can age field caught Anopheles gambiae malaria vectors

Roger Sanou, Antoine Sanou, Abdoulaye Diabaté, Hilary Ranson, Issiaka Saré, Etienne Bilgo, Joscelyn Sarsby, Iris Wagner, Roch K. Dabiré, Robert J. Beynon, Madou Tapsoba, Jessica Williams, Andrew M. Blagborough, Ellie Sherrard Smith, Moussa W. Guelbeogo, Zongo Soumnaba
article en

Abstract

Reliable estimates of the age structure of malaria mosquitoes would aid evaluation of the efficacy of vector control and inform models of malaria transmission. We have previously shown that rapid evaporative ionisation mass spectrometry (REIMS) could determine the age and species of laboratory reared mosquitoes and culicine mosquitoes from a river estuary in the United Kingdom. Here we investigated the robustness of this methodology by introducing additional environmental, genetic and physiological diversity in experiments using laboratory reared and field collected Anopheles gambiae mosquitoes. REIMS reliably separated mosquitoes into 3 or 5 age groups with > 80% accuracy using mosquitoes of mixed physiological status reared in insectaries or collected from semi-field stations in Burkina Faso. In addition, REIMS could distinguish mosquitoes that were nulliparous from those that had undergone one or two oviposition cycles with an accuracy of 87%. In a proof of principle experiment REIMS readily distinguished mosquitoes infected with Plasmodium berghei from non-infected. Furthermore, we show that age grading is possible using only mosquito abdomens, leaving biomass for further molecular biological experiments. Finally, we used the model generated from mixed field collections to estimate the age structure of mosquitoes collected from inside houses.

Scientific ReportsVol. 15(1)
Université Joseph Ki-Zerbo (BF), University of Liverpool (GB), Liverpool School of Tropical Medicine (GB), University of Cambridge (GB), BARKA Foundation (BF), Centre National de Recherche et de Formation sur le Paludisme (BF), Centre Muraz (BF), University of Fada N'gourma, Imperial College London (GB)
Wellcome Trust, UK Research and Innovation, Royal Society, Rosetrees Trust, Medical Research Council
Openalex Percentile: Top 83%
Malaria Research and Control
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