Wagner Iris, Sanou Antoine, Guelbeogo Moussa, Williams Jessica, Sarsby Joscelyn, Smith Ellie Sherrard, Sanou Roger, Sare Issiaka, Tapsoba Madou, Soumnaba Zongo, Bilgo Etienne, Abdoulaye Diabate, Dabire Roch J, Blagborough Andrew M, Beynon Robert J, Ranson Hilary
Department of Vector Biology, Liverpool School of Tropical Medicine, Pembroke Place, Liverpool, L3 5QA, UK.
Centre for Proteome Research, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, L69 7ZB, UK.
Sci Rep. 2025 Jun 2;15(1):19342. doi: 10.1038/s41598-025-03779-x.
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.
对疟蚊年龄结构进行可靠估计,将有助于评估病媒控制的效果,并为疟疾传播模型提供信息。我们之前已经表明,快速蒸发电离质谱法(REIMS)能够确定实验室饲养的蚊子以及来自英国一个河口的库蚊属蚊子的年龄和种类。在此,我们通过在使用实验室饲养和野外采集的冈比亚按蚊进行的实验中引入更多环境、遗传和生理多样性,来研究这种方法的稳健性。利用在昆虫饲养室饲养或从布基纳法索半野外站点采集的生理状态各异的蚊子,REIMS能以超过80%的准确率将蚊子可靠地分为3个或5个年龄组。此外,REIMS能够区分未产卵的蚊子和经历过一或两个产卵周期的蚊子,准确率达87%。在一项原理验证实验中,REIMS能够轻松区分感染伯氏疟原虫的蚊子和未感染的蚊子。此外,我们表明仅使用蚊子腹部就能进行年龄分级,从而为进一步的分子生物学实验保留生物量。最后,我们利用从混合野外采集样本生成的模型来估计从房屋内采集的蚊子的年龄结构。