Completed Plants, Animals & Ecology Infection & Immunity

Tackling insecticide resistance in the major African malaria vector Anopheles funestus: developing new molecular diagnostic tools, understanding the evolution of resistance and its impact on control interventions.

In plain English

AI plain-English summary

Malaria mosquitoes across Africa are rapidly evolving resistance to the insecticides that keep them out of homes. This project focuses on *Anopheles funestus*, one of the continent’s three main malaria vectors, which is now resistant to all four classes of insecticide used in bed nets and indoor spraying. Current diagnostic tests cannot reliably track which resistance genes are spreading in wild mosquito populations. Without that information, public health officials cannot decide which insecticide to use in a given region, or when to rotate chemicals to slow resistance. The researcher aims to fill this gap by identifying precise molecular markers—DNA signatures of resistance—and turning them into cheap, field-friendly diagnostic assays. She will also measure how fast resistance spreads across borders and whether resistant mosquitoes pay a “fitness cost” (for example, laying fewer eggs), which would make them easier to control if insecticides are withdrawn temporarily. If successful, the work would give malaria control programmes a practical tool to monitor resistance in real time and adapt their spraying and net distribution strategies accordingly. The project also includes experimental hut trials—the gold standard for testing insecticide performance under realistic conditions—so the findings will directly inform operational decisions, not just laboratory theory.

View original technical description
Insecticide-based interventions, notably Indoor Residual Spraying (IRS) and Long Lasting Insecticide Nets (LLINs), are critical for malaria control in Africa. The recent rapid selection of resistance to the available insecticides classes in the major malaria vector Anopheles funestus across Africa is threatening the continued effectiveness of these control tools. The international community has now recognised that if suitable resistance management strategies to preserve the efficacy of current i nsecticides are not developed, this resistance will have devastating public health consequences. Unfortunately, important knowledge gaps on resistance (molecular basis, evolution and fitness cost) and the lack of adequate molecular tools to track resistance are preventing the design and implementation of suitable resistance mitigation strategies. To fill these gaps, I aim in this project to improve the control of An. funestus Africa-wide, by detecting molecular markers to track resistance, by el ucidating patterns of evolution and spread of resistance and assessing the fitness cost of resistance and its impact on control interventions. The project has three broad aims: Aim 1: To establish molecular markers and user-friendly diagnostic assays for pyrethroid, DDT and carbamate resistance and cross-resistance in An. funestus Africa-wide using Next-Generation Sequencing and functional analyses. Aim 2: To predict the evolution and spread of resistance by defining patterns of gene flow and se lective sweeps in field populations. Aim 3: To assess the fitness cost of resistance and its impact on control interventions using experimental huts trials. This project will benefit from the knowledge and tools generated during my Wellcome Trust Career Development Fellowship.

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Researchers

Charles Wondji (EPMC Awardee)

Related Research

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Original classification

Senior Research Fellowship Basic

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