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Updated: Aug 17, 2026

IR-TEx: An Open Source Data Integration Tool for Big Data Transcriptomics Designed for the Malaria Vector Anopheles gambiae
Published on: January 15, 2020
Generational selection, transcriptomics and functional characterization reveal the impact of environmental pollutants
Abdullahi Muhammad1, Sulaiman S Ibrahim2, Helen Irving3
1Vector Biology Department, Liverpool School of Tropical Medicine, Pembroke Place, L3 5QA, United Kingdom; Centre for Biotechnology Research Bayero University Kano, PMB 3011, Kano, Nigeria; Centre for Research in Infectious Diseases (CRID), Yaoundé, Cameroon.
Abstract:
Insecticide resistance is threatening malaria control. While the evolution and spread of resistance has been linked to scale-up in the distribution of public health insecticides, the role of environmental pollutants such as the polyaromatic hydrocarbons (PAHs) from industrial and agricultural use remains largely uncharacterized. The PAHs are potent ligands of the aryl hydrocarbon receptor (Ahr) transcription factors involved in the regulation of xenobiotic metabolizing enzymes, and potentially involved in insecticide resistance. Here, using field insecticide-resistant (Auyo) An. coluzzii and a laboratory-susceptible colony (Ngousso), we conducted a multi-generational selection experiment using naphthalene, fluorene and a mixture of both PAHs. After ten generations, the changes in susceptibility to insecticides were monitored using WHO bioassays and whole-transcriptome analysis (RNASeq) was conducted. Compared with the non-selected colony lines, PAH exposures significantly reduced pyrethroid and DDT resistance in the field population, suggesting a fitness cost associated with established resistance. In contrast, Ngousso showed a significant increase in DDT resistance (p = 0.01) at the tenth generation. A significant increase in permethrin resistance was also observed at the seventh generation (p = 0.03). Several candidate genes from the major detoxification classes were overexpressed in the selected lines (including GSTe2, CYP6Z1, and CYP6P4); the most consistent were CYP6M4 and CYP4C27, as well as those from the Ahr pathway. Heterologous expression of CYP6M4 revealed its ability to metabolise pyrethroids, including permethrin, deltamethrin, and α-cypermethrin, as well as PAHs (naphthalene and fluorene). These findings establish the role of environmental pollutants as additional drivers of metabolic insecticide resistance in An, coluzzii.
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