title: Do pollutants affect insecticide-driven gene selection in mosquitoes? Experimental evidence from transcriptomics.
abstract: The control of mosquitoes transmitting infectious diseases relies mainly on the use of chemical insecticides. However, the emergence of insecticide resistance threatens mosquito control programs. Until now, most research efforts have been focused on elucidating resistance mechanisms caused by insecticide treatments. Less attention has been paid to the impact of the mosquito chemical environment on insecticide-driven selection mechanisms. Here the mosquito Aedes aegypti was used as a model species to conduct laboratory experiments combining the exposure of mosquito larvae to a sub-lethal concentration of xenobiotics and their selection with the insecticide permethrin. After 10 generations, bioassays and a transcriptome profiling with a 15 k microarray were performed comparatively on all strains. The three selected strains showed a small but significant increase of permethrin resistance compared to the susceptible parental strain. Microarray analysis revealed that the transcription of many genes was altered by insecticide selection. Exposing larvae to sub-lethal concentrations of the pollutant fluoranthene or the insecticide permethrin prior to selection at each generation affected the selection of several genes, including those involved in detoxification, transport and cell metabolism. Genes potentially involved in permethrin resistance and cross-responses between xenobiotics and insecticide were identified. The present study investigated for the first time the impact of the presence of pollutants in mosquito environment on insecticide-driven selection mechanisms. Our results revealed that mosquitoes exposed to xenobiotics show a different adaptive response to insecticide selection pressure. This suggests that insect chemical environment can shape the long-term selection of metabolic mechanisms leading to insecticide resistance.
authors.affiliation: Laboratoire d'Ecologie Alpine-LECA, UMR 5553 CNRS-Université de Grenoble, France. rodolphe.poupardin@gmail.com
authors.forename: Rodolphe
authors.initials: R
authors.lastname: Poupardin
authors.forename: Muhammad Asam
authors.initials: MA
authors.lastname: Riaz
authors.forename: Christopher M
authors.initials: CM
authors.lastname: Jones
authors.forename: Alexia
authors.initials: A
authors.lastname: Chandor-Proust
authors.forename: Stéphane
authors.initials: S
authors.lastname: Reynaud
authors.forename: Jean-Philippe
authors.initials: JP
authors.lastname: David
mesh_terms: D000330:Aedes / Q000187:drug effects* / Q000235:genetics*; D000818:Animals; D001681:Biological Assay; D004347:Drug Interactions; D004785:Environmental Pollutants / Q000633:toxicity*; D020869:Gene Expression Profiling; D005786:Gene Expression Regulation / Q000187:drug effects*; D007306:Insecticides / Q000494:pharmacology; D007814:Larva / Q000187:drug effects / Q000235:genetics; D026023:Permethrin / Q000494:pharmacology*; D040081:Protein Array Analysis; D015203:Reproducibility of Results; D020133:Reverse Transcriptase Polymerase Chain Reaction; D012641:Selection, Genetic / Q000187:drug effects*
chemical_list: D004785:Environmental Pollutants; D007306:Insecticides; D026023:Permethrin