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快速蒸发离子化质谱(REIMS):一种潜在的快速工具,用于鉴定蚊虫幼虫的杀虫剂抗性。

Rapid Evaporative Ionization Mass Spectrometry (REIMS): a Potential and Rapid Tool for the Identification of Insecticide Resistance in Mosquito Larvae.

机构信息

Department of Biology, Edge Hill University, Ormskirk, Lancashire, L39 4QP, UK.

GeneMill, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Crown Street, Liverpool, L69 7TU, UK.

出版信息

J Insect Sci. 2022 Sep 1;22(5). doi: 10.1093/jisesa/ieac052.

Abstract

Insecticide resistance is a significant challenge facing the successful control of mosquito vectors globally. Bioassays are currently the only method for phenotyping resistance. They require large numbers of mosquitoes for testing, the availability of a susceptible comparator strain, and often insectary facilities. This study aimed to trial the novel use of rapid evaporative ionization mass spectrometry (REIMS) for the identification of insecticide resistance in mosquitoes. No sample preparation is required for REIMS and analysis can be rapidly conducted within hours. Temephos resistant Aedes aegypti (Linnaeus) larvae from Cúcuta, Colombia and temephos susceptible larvae from two origins (Bello, Colombia, and the lab reference strain New Orleans) were analyzed using REIMS. We tested the ability of REIMS to differentiate three relevant variants: population source, lab versus field origin, and response to insecticide. The classification of these data was undertaken using linear discriminant analysis (LDA) and random forest. Classification models built using REIMS data were able to differentiate between Ae. aegypti larvae from different populations with 82% (±0.01) accuracy, between mosquitoes of field and lab origin with 89% (±0.01) accuracy and between susceptible and resistant larvae with 85% (±0.01) accuracy. LDA classifiers had higher efficiency than random forest with this data set. The high accuracy observed here identifies REIMS as a potential new tool for rapid identification of resistance in mosquitoes. We argue that REIMS and similar modern phenotyping alternatives should complement existing insecticide resistance management tools.

摘要

杀虫剂抗性是全球成功控制蚊媒面临的重大挑战。生物测定法是目前鉴定抗性的唯一方法。它们需要大量的蚊子进行测试,需要有敏感的对照菌株,并且通常还需要昆虫学设施。本研究旨在尝试使用快速蒸发电离质谱(REIMS)来鉴定蚊子中的杀虫剂抗性。REIMS 不需要进行样品制备,并且可以在数小时内快速进行分析。使用 REIMS 分析了来自哥伦比亚库库塔的对硫磷抗性埃及伊蚊(Linnaeus)幼虫和来自两个来源(哥伦比亚的贝洛和实验室参考品系新奥尔良)的对硫磷敏感幼虫。我们测试了 REIMS 区分三种相关变体的能力:种群来源、实验室与野外来源以及对杀虫剂的反应。使用线性判别分析(LDA)和随机森林对这些数据进行分类。使用 REIMS 数据构建的分类模型能够以 82%(±0.01)的准确度区分来自不同种群的埃及伊蚊幼虫,以 89%(±0.01)的准确度区分野外和实验室来源的蚊子,以 85%(±0.01)的准确度区分敏感和抗性幼虫。与随机森林相比,LDA 分类器在该数据集上的效率更高。在此观察到的高准确性表明,REIMS 是一种快速鉴定蚊子抗性的潜在新工具。我们认为,REIMS 和类似的现代表型替代方法应该补充现有的杀虫剂抗性管理工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad2f/9459442/10ebf0fb9973/ieac052_fig7.jpg

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