Automated phenotyping of mosquito larvae enables high-throughput screening for novel larvicides and offers potential for smartphone-based detection of larval insecticide resistance.
Automated phenotyping of mosquito larvae enables high-throughput screening for novel larvicides and offers potential for smartphone-based detection of larval insecticide resistance.
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蚊子幼虫的自动化表型分析能够高通量筛选新型杀幼虫剂，并为基于智能手机的幼虫杀虫剂抗性检测提供了可能。
DOI：
10.1371/journal.pntd.0008639
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发表时间：
2021-06
影响因子：
3.8
通讯作者：
Sattelle DB
中科院分区：
文献类型：
--
作者：
Buckingham SD;Partridge FA;Poulton BC;Miller BS;McKendry RA;Lycett GJ;Sattelle DB
浸有拟除虫菊酯类杀虫剂的蚊帐对将疟疾负担减半作出了重大贡献，但抗药性威胁到它们未来的效力，而且新杀虫剂的研发渠道很短。在这里，我们报告了一个无脊椎动物自动表型平台（INVAPP），结合算法Paragon，提供了一个强大的系统来测量冈比亚按蚊（Anopheles gambiae）的幼虫运动。具有高通量筛选新型杀幼虫剂能力的埃及伊蚊。通过这种方法，我们比使用世卫组织标准幼虫测定法更快地可靠地量化了化学杀虫剂的时间和浓度依赖性作用。我们使用一种已建立的杀幼虫剂（双硫磷）说明了该系统的有效性，并展示了其使用MMV病原体盒文库进行库级化学筛选的能力。作为一种原理证明，该文库筛选鉴定出一种化合物，随后证实为苯虫吡拉德，是一种有效的杀幼虫剂。我们还使用INVAPP / Paragon系统来比较来自世卫组织分类的溴氰菊酯抗性和敏感蚊子的幼虫的反应。我们展示了这种监测幼虫对杀虫剂反应的方法如何适用于智能手机相机应用程序，因此具有进一步发展的潜力，可以作为一种简单的便携式现场试验，具有相关的实时地理定位信息，以确定热点。我们开发了一个记录蚊子幼虫运动的自动化平台，并将其应用于疟疾蚊媒和登革热、寨卡、黄热病等人类疾病蚊媒的幼虫。该平台有助于高通量化学筛选控制蚊子幼虫的新化合物，并检测对拟除虫菊酯产生抗性的成蚊幼虫后代的反应差异。近年来，含有拟除虫菊酯的蚊帐帮助将疟疾死亡人数减少了一半，但对拟除虫菊酯的耐药性是对这一进展的重要威胁。我们的方法比目前的世卫组织标准测试更快地分析杀虫剂的作用，我们表明，它可以适用于智能手机，这为未来的现场分析提供了前景，以监测与行为反应相关的耐药性发展，并具有精确的卫星定位的额外好处。
Pyrethroid-impregnated nets have contributed significantly to halving the burden of malaria but resistance threatens their future efficacy and the pipeline of new insecticides is short. Here we report that an invertebrate automated phenotyping platform (INVAPP), combined with the algorithm Paragon, provides a robust system for measuring larval motility in Anopheles gambiae (and An. coluzzi) as well as Aedes aegypti with the capacity for high-throughput screening for new larvicides. By this means, we reliably quantified both time- and concentration-dependent actions of chemical insecticides faster than using the WHO standard larval assay. We illustrate the effectiveness of the system using an established larvicide (temephos) and demonstrate its capacity for library-scale chemical screening using the Medicines for Malaria Venture (MMV) Pathogen Box library. As a proof-of-principle, this library screen identified a compound, subsequently confirmed to be tolfenpyrad, as an effective larvicide. We have also used the INVAPP / Paragon system to compare responses in larvae derived from WHO classified deltamethrin resistant and sensitive mosquitoes. We show how this approach to monitoring larval response to insecticides can be adapted for use with a smartphone camera application and therefore has potential for further development as a simple portable field-assay with associated real-time, geo-located information to identify hotspots. We have developed an automated platform for recording the motility of mosquito larvae and applied it to larvae of a mosquito vector of malaria and a mosquito vector of dengue, Zika, yellow fever and other human diseases. The platform facilitates high-throughput, chemical screening for new compounds to control mosquito larvae and also detects differences in response in larval progeny from pryethroid-resistant adult mosquitoes. Pyrethroid-impregnated bednets have helped to halve the deaths from malaria in recent years but pyrethroid resistance is an important threat to this progress. Our approach assays insecticide actions faster than the current WHO standard test and we show that it can be adapted for use with a smartphone, which offers the prospect of a future field assay to monitor developing resistance associated with behavioural response with the added benefit of precise satellite-based location.
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影响因子：
3.2
作者：
Jiao Y;Preston S;Song H;Jabbar A;Liu Y;Baell J;Hofmann A;Hutchinson D;Wang T;Koehler AV;Fisher GM;Andrews KT;Laleu B;Palmer MJ;Burrows JN;Wells TNC;Wang Q;Gasser RB
通讯作者：
Gasser RB
DOI：
10.1073/pnas.0901369106
发表时间：
2009-07-14
影响因子：
11.1
作者：
Devine, Gregor J.;Zamora Perea, Elvira;Morrison, Amy C.
通讯作者：
Morrison, Amy C.
影响因子：
1.9
作者：
Iovchev, M;Kodrov, P;Semenov, EP
通讯作者：
Semenov, EP
DOI：
10.1016/s0140-6736(15)00417-1
发表时间：
2016-04-23
期刊：
Lancet (London, England)
影响因子：
--
作者：
Hemingway J;Ranson H;Magill A;Kolaczinski J;Fornadel C;Gimnig J;Coetzee M;Simard F;Roch DK;Hinzoumbe CK;Pickett J;Schellenberg D;Gething P;Hoppé M;Hamon N
通讯作者：
Hamon N
影响因子：
5.3
作者：
Partridge FA;Bataille CJR;Forman R;Marriott AE;Forde-Thomas J;Häberli C;Dinsdale RL;O'Sullivan JDB;Willis NJ;Wynne GM;Whiteland H;Archer J;Steven A;Keiser J;Turner JD;Hoffmann KF;Taylor MJ;Else KJ;Russell AJ;Sattelle DB
通讯作者：
Sattelle DB