Transcriptome response to pollutants and insecticides in the dengue vector Aedes aegypti using next-generation sequencing technology
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 48h to sub-lethal doses of three chemical insecticides and three anthropogenic pollutants.
Results: 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.
Conclusions: 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 levels, despite low concentrations and no apparent phenotypic effects, the significant impact of these xenobiotics on mosquito transcriptome raise important questions about the 'hidden impact'of anthropogenic pollutants on ecosystems and consequences on vector control.
Author: Jean-Philippe DavidEric CoissacChristelle MelodelimaRodolphe PoupardinMuhammad Asam RiazAlexia Chandor-ProustStephane Reynaud
Credits/Source: BMC Genomics 2010, 11:216
Published on: 2010-03-31
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