Evidence map›Paper›PMID 41715232›Full record

ArticleParasites & vectors2026

Development of a multiplex SNaPshot assay for simultaneous detection of multiple insecticide-resistance mutations in Anopheles sinensis.

Yi Xin, Zhenyu Yue, Shuning Yan, Chenghang Yu, Mowen Liu, Shuo Yang, Ruili Xie, Bin Zheng, Jianhai Yin, Bin Xu

Abstract read
In one paragraph

Article in Parasites & vectors, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Yi XinNational Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention; Chinese Center for Tropical Diseases Research; National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases; WHO Collaborating Centre for Tropical Diseases; Key Laboratory on Parasite and Vector Biology, Ministry of Health; WHO Centre for Tropical Diseases; National Center for International Research on Tropical Diseases, Ministry of Science and Technology, Shanghai, 200025, China.
Zhenyu YueNational Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention; Chinese Center for Tropical Diseases Research; National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases; WHO Collaborating Centre for Tropical Diseases; Key Laboratory on Parasite and Vector Biology, Ministry of Health; WHO Centre for Tropical Diseases; National Center for International Research on Tropical Diseases, Ministry of Science and Technology, Shanghai, 200025, China.
Shuning YanBeijing Key Laboratory of Surveillance, Early Warning and Pathogen Research on Emerging Infectious Diseases; Beijing Research Center for Respiratory Infectious Diseases; Beijing Center for Disease Prevention and Control, Beijing, 100013, China.
Chenghang YuNational Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention; Chinese Center for Tropical Diseases Research; National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases; WHO Collaborating Centre for Tropical Diseases; Key Laboratory on Parasite and Vector Biology, Ministry of Health; WHO Centre for Tropical Diseases; National Center for International Research on Tropical Diseases, Ministry of Science and Technology, Shanghai, 200025, China.
Mowen LiuNational Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention; Chinese Center for Tropical Diseases Research; National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases; WHO Collaborating Centre for Tropical Diseases; Key Laboratory on Parasite and Vector Biology, Ministry of Health; WHO Centre for Tropical Diseases; National Center for International Research on Tropical Diseases, Ministry of Science and Technology, Shanghai, 200025, China.
Shuo YangNational Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention; Chinese Center for Tropical Diseases Research; National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases; WHO Collaborating Centre for Tropical Diseases; Key Laboratory on Parasite and Vector Biology, Ministry of Health; WHO Centre for Tropical Diseases; National Center for International Research on Tropical Diseases, Ministry of Science and Technology, Shanghai, 200025, China.
Ruili XieNational Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention; Chinese Center for Tropical Diseases Research; National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases; WHO Collaborating Centre for Tropical Diseases; Key Laboratory on Parasite and Vector Biology, Ministry of Health; WHO Centre for Tropical Diseases; National Center for International Research on Tropical Diseases, Ministry of Science and Technology, Shanghai, 200025, China.
Bin ZhengNational Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention; Chinese Center for Tropical Diseases Research; National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases; WHO Collaborating Centre for Tropical Diseases; Key Laboratory on Parasite and Vector Biology, Ministry of Health; WHO Centre for Tropical Diseases; National Center for International Research on Tropical Diseases, Ministry of Science and Technology, Shanghai, 200025, China. zhengbin@nipd.chinacdc.cn.
Jianhai YinNational Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention; Chinese Center for Tropical Diseases Research; National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases; WHO Collaborating Centre for Tropical Diseases; Key Laboratory on Parasite and Vector Biology, Ministry of Health; WHO Centre for Tropical Diseases; National Center for International Research on Tropical Diseases, Ministry of Science and Technology, Shanghai, 200025, China. yinjh@nipd.chinacdc.cn.
Bin XuNational Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention; Chinese Center for Tropical Diseases Research; National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases; WHO Collaborating Centre for Tropical Diseases; Key Laboratory on Parasite and Vector Biology, Ministry of Health; WHO Centre for Tropical Diseases; National Center for International Research on Tropical Diseases, Ministry of Science and Technology, Shanghai, 200025, China. xubin@nipd.chinacdc.cn.

Funding

Shanghai Municipal Science and Technology Commission Special Foundation 24DZ2203100the National Major Science and Technology Projects of China 2018ZX10734404the National Natural Science Foundation of China 82472318
6 · The paper itself

Abstract

backgroundAnopheles sinensis, the primary malaria vector in China, is a potential threat to the prevention of re-establishment of malaria transmission following imported cases. The extensive use of insecticides has led to widespread resistance. Conventional bioassays and molecular detection are limited in sensitivity, throughput, and efficiency, underscoring the need for a rapid and cost-effective genotyping tool for large-scale multiple insecticide-resistance markers surveillance.

methodsA multiplex SNaPshot assay was developed to simultaneously detect six SNPs (kdr1014-F, kdr1014-R, Ace-1, RDL296, RDL327, and RDL345) in An. sinensis. Positive plasmids carrying known resistance-associated genotypes and laboratory-reared An. sinensis samples were used to optimize and validate the reactions. Wild An. sinensis collected from Henan Puyang (HN-PY) and Anhui Shucheng (AH-SC) were used for bioassays with 0.05% deltamethrin, 0.15% beta-cyfluthrin, 5% malathion, 0.1% propoxur, and 0.06% flufenoxuron. Then samples randomly selected on the basis of 24 h survival status were genotyped via PCR-Sanger sequencing and the SNaPshot assay. Consistency was assessed using the Kappa testing, and genotype-phenotype correlations were evaluated by chi-squared tests.

resultsBioassays showed that the HN-PY An. sinensis population was resistant to deltamethrin, beta-cyfluthrin, malathion, propoxur, and flufenoxuron, with adjusted mortality rates of 5.2%, 24.4%, 9.1%, 24.3%, and 5.8%, respectively. In contrast, the AH-SC population remained susceptible to malathion (100% mortality) but exhibited resistance to deltamethrin, beta-cyfluthrin, propoxur, and flufenoxuron, with adjusted mortality rates of 71.6%, 78.6%, 44.9%, and 33.4%, respectively. Multiplex SNaPshot genotyping of 272 field-collected mosquitoes revealed high frequencies of resistance-associated mutations at the kdr1014-F, kdr1014-R, Ace-1, RDL296, RDL327, and RDL345 loci, with frequencies of 4.7%, 99.3%, 53.3%, 89.7%, 96.0%, and 53.3% in the HN-PY population and 25.5%, 78.0%, 55.3%, 89.8%, 89.8%, and 46.3% in the AH-SC population, respectively. Additionally, the SNaPshot assay showed strong agreement with PCR-Sanger sequencing (Kappa > 0.90 at all loci).

conclusionsThe multiplex SNaPshot assay provides a reliable, rapid, and economical tool for detecting multiple resistance mutations in An. sinensis. Its application in routine entomological surveillance will provide an alternative tool for early warning of insecticide resistance.

Indexed as

AnophelesInsecticide ResistanceInsecticidesMosquito VectorsMutationAnimalsBiological AssayChinaGenotypeGenotyping TechniquesMalariaMultiplex Polymerase Chain ReactionPolymorphism, Single NucleotideInsecticidesAnopheles sinensisInsecticide resistanceSNaPshotSNP

Identifiers

PMID41715232
PMCPMC13020337

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