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Comparative analysis of response to selection with three insecticides in the dengue mosquito Aedes aegypti using mRNA sequencing

Jean-Philippe David123*, Frédéric Faucon123, Alexia Chandor-Proust123, Rodolphe Poupardin1234, Muhammad Asam Riaz1235, Aurélie Bonin123, Vincent Navratil6 and Stéphane Reynaud123

Author Affiliations

1 Laboratoire d’Ecologie Alpine (LECA), UMR CNRS 5553, Grenoble, France

2 Université Grenoble Alpes, Grenoble, France

3 Environmental and Systems Biology (BEeSy), Université Grenoble Alpes, Grenoble, France

4 Vector Biology group, Liverpool School of Tropical Medicine, Liverpool, UK

5 Department of Entomology, University of Sargodha, Sargodha, Pakistan

6 Pôle Rhône Alpes de Bioinformatique, Université Lyon 1, Villeurbanne, France

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BMC Genomics 2014, 15:174  doi:10.1186/1471-2164-15-174

Published: 5 March 2014



Mosquito control programmes using chemical insecticides are increasingly threatened by the development of resistance. Such resistance can be the consequence of changes in proteins targeted by insecticides (target site mediated resistance), increased insecticide biodegradation (metabolic resistance), altered transport, sequestration or other mechanisms. As opposed to target site resistance, other mechanisms are far from being fully understood. Indeed, insecticide selection often affects a large number of genes and various biological processes can hypothetically confer resistance. In this context, the aim of the present study was to use RNA sequencing (RNA-seq) for comparing transcription level and polymorphism variations associated with adaptation to chemical insecticides in the mosquito Aedes aegypti. Biological materials consisted of a parental susceptible strain together with three child strains selected across multiple generations with three insecticides from different classes: the pyrethroid permethrin, the neonicotinoid imidacloprid and the carbamate propoxur.


After ten generations, insecticide-selected strains showed elevated resistance levels to the insecticides used for selection. RNA-seq data allowed detecting over 13,000 transcripts, of which 413 were differentially transcribed in insecticide-selected strains as compared to the susceptible strain. Among them, a significant enrichment of transcripts encoding cuticle proteins, transporters and enzymes was observed. Polymorphism analysis revealed over 2500 SNPs showing > 50% allele frequency variations in insecticide-selected strains as compared to the susceptible strain, affecting over 1000 transcripts. Comparing gene transcription and polymorphism patterns revealed marked differences among strains. While imidacloprid selection was linked to the over transcription of many genes, permethrin selection was rather linked to polymorphism variations. Focusing on detoxification enzymes revealed that permethrin selection strongly affected the polymorphism of several transcripts encoding cytochrome P450 monooxygenases likely involved in insecticide biodegradation.


The present study confirmed the power of RNA-seq for identifying concomitantly quantitative and qualitative transcriptome changes associated with insecticide resistance in mosquitoes. Our results suggest that transcriptome modifications can be selected rapidly by insecticides and affect multiple biological functions. Previously neglected by molecular screenings, polymorphism variations of detoxification enzymes may play an important role in the adaptive response of mosquitoes to insecticides.

RNA sequencing; RNA-seq; Insecticide resistance; Mosquito; Dengue; Detoxification enzymes; Cytochrome P450 monooxygenase; CYP; Cuticle; Transporters