Cis-regulatory CYP6P9b P450 variants associated with loss of insecticide-treated bed net efficacy against Anopheles funestus
Elucidating the genetic basis of metabolic resistance to insecticides in malaria vectors is crucial to prolonging the effectiveness of insecticide-based control tools including long lasting insecticidal nets (LLINs). Here, we show that cis -regulatory variants of the cytochrome P450 gene, CYP6P9b ,...
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Veröffentlicht in: | Nature communications 2019-10, Vol.10 (1), p.4652-11, Article 4652 |
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Sprache: | eng |
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Zusammenfassung: | Elucidating the genetic basis of metabolic resistance to insecticides in malaria vectors is crucial to prolonging the effectiveness of insecticide-based control tools including long lasting insecticidal nets (LLINs). Here, we show that
cis
-regulatory variants of the cytochrome P450 gene,
CYP6P9b
, are associated with pyrethroid resistance in the African malaria vector
Anopheles funestus
. A DNA-based assay is designed to track this resistance that occurs near fixation in southern Africa but not in West/Central Africa. Applying this assay we demonstrate, using semi-field experimental huts, that CYP6P9b-mediated resistance associates with reduced effectiveness of LLINs. Furthermore, we establish that
CYP6P9b
combines with another P450,
CYP6P9a
, to additively exacerbate the reduced efficacy of insecticide-treated nets. Double homozygote resistant mosquitoes (RR/RR) significantly survive exposure to insecticide-treated nets and successfully blood feed more than other genotypes. This study provides tools to track and assess the impact of multi-gene driven metabolic resistance to pyrethroids, helping improve resistance management.
Bed nets treated with insecticides have been instrumental in reducing malaria mortality, but insecticide resistance is on the rise. Here, Mugenzi et al. identify genetic variants in the P450 gene
CYP6P9b
of
Anopheles funestus
that associate with insecticide resistance and develop a PCR-based diagnostic assay to help identify pyrethroid-resistant strains. |
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ISSN: | 2041-1723 2041-1723 |
DOI: | 10.1038/s41467-019-12686-5 |