AI Article Synopsis

  • Blocking insecticide resistance in mosquitoes could significantly improve malaria control, potentially by introducing stressors that make resistant mosquitoes more vulnerable.
  • A mathematical model indicates that moderate stress might shift the balance between the advantages of resistance and the costs associated with it, leading to a return of sensitivity in mosquito populations.
  • Experimental results reveal that resistant mosquitoes infected with a specific parasite showed much higher mortality rates when exposed to insecticides, suggesting that biopesticides could be an effective strategy in combating resistance.

Article Abstract

Finding a way to block the evolution insecticide resistance would be a major breakthrough for the control of malaria. We suggest that this may be possible by introducing a stress into mosquito populations that restores the sensitivity of genetically resistant mosquitoes and that decreases their longevity when they are not exposed to insecticide. We use a mathematical model to show that, despite the intense selection pressure imposed by insecticides, moderate levels of stress might tip the evolutionary balance between costs and benefits of resistance toward maintaining sensitivity. Our experimental work with the microsporidian parasite Vavraia culicis infecting two lines of resistant mosquitoes and a sensitive line suggests that it may indeed be possible to stress the mosquitoes in the required way. The mortality of resistant mosquitoes 24 h after exposure to the insecticide was up to 8.8 times higher in infected than in uninfected ones; if mosquitoes were not exposed to the insecticide, resistant mosquitoes infected by the microsporidian lived about half as long as uninfected ones and insecticide-sensitive mosquitoes (with or without the parasite). Our results suggest that biopesticides or other insecticides that interfere with the expression of resistance may help to manage insecticide resistance in programs of malaria control.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3353349PMC
http://dx.doi.org/10.1111/j.1752-4571.2011.00219.xDOI Listing

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