Transcriptome response to pollutants and insecticides in the dengue vector Aedes aegypti using next-generation sequencing technology

• Published in: BMC genomics Vol. 11; no. 1; p. 216
• Main Authors: David, Jean-Philippe, Coissac, Eric, Melodelima, Christelle, Poupardin, Rodolphe, Riaz, Muhammad Asam, Chandor-Proust, Alexia, Reynaud, Stéphane
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 31.03.2010; BioMed Central; BMC
• Subjects: Aedes - drug effects; Aedes aegypti; Animals; Control; Copper; DNA sequencing; Environmental Pollutants - pharmacology; Gene expression; Gene Expression Profiling; Genetic aspects; Genomes; Genomics; Health aspects; Insect pests; Insect Proteins - analysis; Insecticides; Insecticides - pharmacology; Mosquitoes; Nucleotide sequencing; Polycyclic aromatic hydrocarbons; Tropical diseases; Xenobiotics - pharmacology; France
• ISSN: 1471-2164; 1471-2164
• DOI: 10.1186/1471-2164-11-216

The control of mosquitoes transmitting infectious diseases relies mainly on the use of chemical insecticides. However, mosquito control programs are now threatened by the emergence of insecticide resistance. Hitherto, most research efforts have been focused on elucidating the molecular basis of inherited resistance. Less attention has been paid to the short-term response of mosquitoes to insecticides and pollutants which could have a significant impact on insecticide efficacy. Here, a combination of LongSAGE and Solexa sequencing was used to perform a deep transcriptome analysis of larvae of the dengue vector Aedes aegypti exposed for 48 h to sub-lethal doses of three chemical insecticides and three anthropogenic pollutants. Thirty millions 20 bp cDNA tags were sequenced, mapped to the mosquito genome and clustered, representing 6850 known genes and 4868 additional clusters not located within predicted genes. Mosquitoes exposed to insecticides or anthropogenic pollutants showed considerable modifications of their transcriptome. Genes encoding cuticular proteins, transporters, and enzymes involved in the mitochondrial respiratory chain and detoxification processes were particularly affected. Genes and molecular mechanisms potentially involved in xenobiotic response and insecticide tolerance were identified. The method used in the present study appears as a powerful approach for investigating fine transcriptome variations in genome-sequenced organisms and can provide useful informations for the detection of novel transcripts. At the biological level, despite low concentrations and no apparent phenotypic effects, the significant impact of these xenobiotics on mosquito transcriptomes raise important questions about the 'hidden impact' of anthropogenic pollutants on ecosystems and consequences on vector control.