Rapid Evaporative Ionisation Mass Spectrometry can reliably age field caught malaria vectors (and has the potential to simultaneously also identify species and infection rate)

Wagner, Iris ORCID: https://orcid.org/0000-0001-9198-4532, Sanou, Antoine, Guelbeogo, Moussa, Williams, Jessica, Harris, Joscelyn ORCID: https://orcid.org/0000-0002-1942-6306, Smith, Ellie Sherrard, Sanou, Roger, Isiaka, Sare, Tapsoba, Michel, Soumnaba, Zongo, Bilgo, Etienne, Abdoulaye, Diabate, Dabire, Roch, Blagborough, Andrew M, Beynon, Robert ORCID: https://orcid.org/0000-0003-0857-495X and Ranson, Hilary ORCID: https://orcid.org/0000-0003-2332-8247 (2025) Rapid Evaporative Ionisation Mass Spectrometry can reliably age field caught malaria vectors (and has the potential to simultaneously also identify species and infection rate). [Data Collection]

Data Catalogue DOI: 10.17638/datacat.liverpool.ac.uk/3012

Description

Abstract A method to reliably predict the age structure of malaria mosquitoes would be valuable in predicting the efficacy of vector control tools and provide important insights to inform models of malaria transmission. We have previously shown that Rapid Evaporative Ionisation Mass Spectrometry 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 could reliably separate mosquitoes into 3 or 5 age groups with > 80 % accuracy using mosquitoes of mixed physiological status reared in insectaries or from larval collections reared to adults in 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 we demonstrate that REIMS can readily distinguish between 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 and were able to show a shifting age structure matching the time retained in the insectary post collections.

Keywords:

REIMS, Mass Spectrometry, Mosquito, Malaria

Divisions:

Faculty of Health and Life Sciences
Faculty of Health and Life Sciences > Tech, Infrastructure and Environmental Directorate

SWORD Depositor:

Data Catalogue Admin

Depositing User:

Data Catalogue Admin

Date Deposited:

22 Apr 2025 09:41

Last Modified:

22 Apr 2025 09:41

DOI:

10.17638/datacat.liverpool.ac.uk/3012

URI:

https://datacat.liverpool.ac.uk/id/eprint/3012

Additional details

Creators:	Wagner, Iris Sanou, Antoine Guelbeogo, Moussa Williams, Jessica Harris, Joscelyn Smith, Ellie Sherrard Sanou, Roger Isiaka, Sare Tapsoba, Michel Soumnaba, Zongo Bilgo, Etienne Abdoulaye, Diabate Dabire, Roch Blagborough, Andrew M Beynon, Robert Ranson, Hilary
Research funder:	Grant Number Name of the Funder MC_PC_19045 IVCC and MRC MR/N00227×/1 MRC MR/W025701/1 MRC G109130 Rosetrees Trust RGS/R1/201,293 Royal Society IEC/R3/19,302 Royal Society Sir Isaac Newton Trust Alborada Fund Wellcome Trust ISSF University of Cambridge JRG Scheme GHIT
Date:	17 April 2025
Date type:	Publication
Statement on legal, ethical and access issues :	To the author's knowledge, there are no legal, ethical or access issues surrounding the data.
Resource language:	English
Publisher:	University of Liverpool
Contact email address:	jsarsby@liverpool.ac.uk
Last Modified:	22 Apr 2025 09:41