Researchers at LSTM have used a bioinformatics approach to integrate information from multiple studies on insecticide resistance in mosquitoes and uncovered a number of important resistance mechanisms that had not previously been recognized.
In a study published in Nature Communications, Dr Victoria Ingham and colleagues have utilized specialist computer programming to better understand the mechanisms by which mosquitoes become resistant to current public health insecticides. She said: “It is really important in the fight against malaria and other vector-borne diseases that we are able to fully understand how insecticide resistance emerges in mosquito populations. There has been extensive work carried out on particular gene families in the past which are thought to be key to resistance, however using a data integration method we have shown that there are a number of additional mechanisms at play which we believe are important in the clearance of insecticides.”
Insecticide resistance is a major threat to global public health, reducing the efficacy of vector control efforts which currently rely heavily on insecticides for use on bed nets and in indoor residual or aerial spraying applications. Resistance is widespread in major disease vectors including the vector responsible for the transmission of the malaria parasite, the Anopheles mosquito.
Understanding the causes of this resistance is critical for developing resistance management strategies and to inform the development of new insecticides. The current study compared patterns of gene expression from 31 datasets collected from resistant and susceptible Anopheles populations across Sub-Saharan Africa over a five-year period to identify patterns and offer insight into the mechanisms of insecticide resistance.