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A single mutation G454A in the P450 CYP9K1 drives pyrethroid resistance in the major malaria vector Anopheles funestus reducing bed net efficacy.

Authors :
Djoko Tagne CS
Kouamo MFM
Tchouakui M
Muhammad A
Mugenzi LJL
Tatchou-Nebangwa NMT
Thiomela RF
Gadji M
Wondji MJ
Hearn J
Desire MH
Ibrahim SS
Wondji CS
Source :
Genetics [Genetics] 2024 Nov 07. Date of Electronic Publication: 2024 Nov 07.
Publication Year :
2024
Publisher :
Ahead of Print

Abstract

Metabolic mechanisms conferring pyrethroid resistance in malaria vectors are jeopardizing the effectiveness of insecticide-based interventions, and identification of their markers is a key requirement for robust resistance management. Here, using a field-lab-field approach, we demonstrated that a single mutation G454A in the P450 CYP9K1 is driving pyrethroid resistance in the major malaria vector Anopheles funestus in East and Central Africa. Drastic reduction in CYP9K1 diversity was observed in Ugandan samples collected in 2014, with selection of a predominant haplotype (G454A mutation at 90%), which was completely absent in the other African regions. However, six years later (2020) the Ugandan 454A-CYP9K1 haplotype was found predominant in Cameroon (84.6%), but absent in Malawi (Southern Africa) and Ghana (West Africa). Comparative in vitro heterologous expression and metabolism assays revealed that the mutant 454A-CYP9K1 (R) allele significantly metabolises more type II pyrethroid (deltamethrin) compared with the wild G454-CYP9K1 (S) allele. Transgenic Drosophila melanogaster flies expressing 454A-CYP9K1 (R) allele exhibited significantly higher type I and II pyrethroids resistance compared to flies expressing the wild G454-CYP9K1 (S) allele. Furthermore, laboratory testing and field experimental hut trials in Cameroon demonstrated that mosquitoes harbouring the resistant 454A-CYP9K1 allele significantly survived to pyrethroids exposure (Odds ratio = 567, p < 0.0001). This study highlights the rapid spread of pyrethroid resistant CYP9K1 allele, under directional selection in East and Central Africa, contributing to reduced bed net efficacy. The newly designed DNA-based assay here will add to the toolbox of resistance monitoring and improving its management strategies.<br /> (© The Author(s) 2024. Published by Oxford University Press on behalf of The Genetics Society of America.)

Details

Language :
English
ISSN :
1943-2631
Database :
MEDLINE
Journal :
Genetics
Publication Type :
Academic Journal
Accession number :
39509710
Full Text :
https://doi.org/10.1093/genetics/iyae181