| Title: | Rapid identification of mosquito species and age by mass spectrometric analysis |
| Author(s): | Wagner I; Grigoraki L; Enevoldson P; Clarkson M; Jones S; Hurst JL; Beynon RJ; Ranson H; |
| Address: | "Centre for Proteome Research, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, L69 7ZB, UK. Department of Vector Biology, Liverpool School of Tropical Medicine, Pembroke Place, Liverpool, L3 5QA, UK. Walton Centre NHS Foundation Trust, Lower Lane, Liverpool, L9 7LJ, UK. Department of Livestock and One Health, University of Liverpool, Institute of Infection, Veterinary and Ecological Sciences, Leahurst Campus, Neston, CH64 7TE, UK. International Pheromone Systems Ltd, Evolution House, Long Acres Road, Clayhill Industrial Estate, Neston, CH64 3RL, Cheshire, UK. Mammalian Behaviour and Evolution Group, Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Leahurst Campus, Neston, CH64 7TE, UK. Centre for Proteome Research, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, L69 7ZB, UK. r.beynon@liverpool.ac.uk" |
| DOI: | 10.1186/s12915-022-01508-8 |
| ISSN/ISBN: | 1741-7007 (Electronic) 1741-7007 (Linking) |
| Abstract: | "BACKGROUND: A rapid, accurate method to identify and to age-grade mosquito populations would be a major advance in predicting the risk of pathogen transmission and evaluating the public health impact of vector control interventions. Whilst other spectrometric or transcriptomic methods show promise, current approaches rely on challenging morphological techniques or simple binary classifications that cannot identify the subset of the population old enough to be infectious. In this study, the ability of rapid evaporative ionisation mass spectrometry (REIMS) to identify the species and age of mosquitoes reared in the laboratory and derived from the wild was investigated. RESULTS: The accuracy of REIMS in identifying morphologically identical species of the Anopheles gambiae complex exceeded 97% using principal component/linear discriminant analysis (PC-LDA) and 84% based on random forest analysis. Age separation into 3 different age categories (1 day, 5-6 days, 14-15 days) was achieved with 99% (PC-LDA) and 91% (random forest) accuracy. When tested on wild mosquitoes from the UK, REIMS data could determine the species and age of the specimens with accuracies of 91 and 90% respectively. CONCLUSIONS: The accuracy of REIMS to resolve the species and age of Anopheles mosquitoes is comparable to that achieved by infrared spectroscopy approaches. The processing time and ease of use represent significant advantages over current, dissection-based methods. Importantly, the accuracy was maintained when using wild mosquitoes reared under differing environmental conditions, and when mosquitoes were stored frozen or desiccated. This high throughput approach thus has potential to conduct rapid, real-time monitoring of vector populations, providing entomological evidence of the impact of alternative interventions" |
| Keywords: | Animals *Mosquito Vectors Mass Spectrometry/methods *Anopheles Age grading Mass spectrometry Mosquito Reims Rapid evaporative ionisation mass spectrometry Species identification; |
| Notes: | "MedlineWagner, Iris Grigoraki, Linda Enevoldson, Peter Clarkson, Michael Jones, Sam Hurst, Jane L Beynon, Robert J Ranson, Hilary eng WT_/Wellcome Trust/United Kingdom 215894/Z/19/Z/WT_/Wellcome Trust/United Kingdom BB/L014793/1/BB_/Biotechnology and Biological Sciences Research Council/United Kingdom England 2023/01/24 BMC Biol. 2023 Jan 24; 21(1):10. doi: 10.1186/s12915-022-01508-8" |
