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Wondji, M. J.

Publications and source records attributed to Wondji, M. J..

2 recordsLinked to original sources

Genome-wide association studies unveil major genetic loci driving insecticide resistance in Anopheles funestus in four eco-geographical settings across Cameroon

Insecticide resistance is jeopardising malaria control efforts in Africa. Deciphering the evolutionary dynamics of mosquito populations country-wide is essential for designing effective and sustainable national and subnational tailored strategies to accelerate malaria elimination efforts. Here, we employed genome-wide association studies through pooled template sequencing to compare four eco-geographically different populations of the major vector, Anopheles funestus, across a South North transect in Cameroon, aiming to identify genomic signatures of adaptive responses to insecticides. Our analysis revealed limited population structure within Northern and Central regions (FST<0.02), suggesting extensive gene flow, while populations from the Littoral/Coastal region exhibited more distinct genetic patterns (FST>0.049). Greater genetic differentiation was observed at known resistance-associated loci, resistance-to-pyrethroids 1 (rp1) (2R chromosome) and CYP9 (X chromosome), with varying signatures of positive selection across populations. Allelic variation between variants underscores the pervasive impact of selection pressures, with rp1 variants more prevalent in Central and Northern populations (FST>0.3), and the CYP9 associated variants more pronounced in the Littoral/Coastal region (FST =0.29). Evidence of selective sweeps was supported by negative Tajimas D and reduced genetic diversity in all populations, particularly in Central (Elende) and Northern (Tibati) regions. Genomic variant analysis identified novel missense mutations and signatures of complex genomic alterations such as duplications, deletions, transposable element (TE) insertions, and chromosomal inversions, all associated with selective sweeps. A 4.3 kb TE insertion was fixed in all populations with Njombe Littoral/Coastal population, showing higher frequency of CYP9K1 (G454A), a known resistance allele and TE upstream compared to elsewhere. Our study uncovered regional variations in insecticide resistance candidate variants, emphasizing the need for a streamlined DNA-based diagnostic assay for genomic surveillance across Africa. These findings will contribute to the development of tailored resistance management strategies crucial for addressing the dynamic challenges of malaria control in Cameroon. Author SummaryDespite the widespread use of vector control tools to combat malaria in Cameroon, the disease burden remains high, particularly affecting children and pregnant women. This persistent burden is linked to intense resistance in malaria vectors, mainly driven by the overexpression of metabolic insecticide resistance genes. The evolutionary response of mosquito populations to both control interventions and agricultural environmental stimuli across Cameroon is not well understood. Understanding these dynamics is crucial for developing effective and sustainable strategies for malaria elimination country-wide. Here, we performed a genome-wide survey of Anopheles funestus across four eco-geographic regions in Cameroon, revealing limited population structure between the northern and southern regions. For the first time in Cameroon, we observed the emergence and widespread of two known resistance-related loci, rp1 and CYP9 loci. Additionally, we identified both known and novel replacement polymorphisms, along with complex signatures of genomic alterations such as large insertions and duplications, linked to selective sweeps. Notably, a 4.3kb structural variant was completely fixed in all regions, while the CYP9K1 resistant allele (A454A) was fixed only in the littoral/coastal region but remained under selection elsewhere highlighting the importance of designing a tailored resistance management strategies crucial for addressing the dynamic challenges of malaria control in Cameroon.

genomics↗

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

Metabolic resistance to pyrethroids is jeopardizing the effectiveness of insecticide-based interventions against malaria. The complexity of the Africa-wide spatio-temporal evolution of the molecular basis of this resistance, the major genetic drivers should be detected to improve resistance management. Here, we demonstrated that a single amino acid change G454A in the cytochrome P450 CYP9K1 drives pyrethroid resistance in Anopheles funestus vector in East and Central Africa. Polymorphism analysis revealed drastic reduction of diversity of the CYP9K1 gene in Uganda (2014) with the selection of a predominant haplotype (90%), exhibited a G454A mutation. However, 6 years later (2020) the Ugandan 454A-CYP9K1 haplotype was also predominant in Cameroon (84.6%), but absent in Malawi (Southern Africa) and Ghana (West Africa). In vitro comparative heterologous metabolism assays revealed that the mutant-type 454A-CYP9K1 (R) allele metabolises type II pyrethroid (deltamethrin) better than the wild-type G454-CYP9K1 (S) allele. Transgenic Drosophila melanogaster flies expressing the mutant-type 454A-CYP9K1 allele were significantly more resistant to both type I and II pyrethroids than the flies expressing the wild-type G454-CYP9K1 allele. Genotyping with a newly designed DNA-based diagnostic assay targeting the G454A replacement revealed that this mutation is strongly associated with pyrethroid resistance as mosquitoes surviving pyrethroid exposure were significantly more homozygote resistant (Odds ratio = 567, P<0.0001). Furthermore, Cone test and experimental hut trials showed that 454A-CYP9K1 reduces the efficacy of LLINs. The resistant allele (454A) is under directional selection in Eastern and Central Africa, present but not strongly selected in Southern Africa and at very low frequency in West Africa. This study reveals the rapid spread of P450-based metabolic pyrethroid resistance driven by CYP9K1, greatly reducing the efficacy of pyrethroid-based control tools. The new DNA-based assay designed here will add to the toolbox to monitor resistance in the field and improve resistance management strategies. Author SummaryThe complex molecular basis and genetic drivers of metabolic resistance in malaria vectors should be detected to improve resistance management. Here, we established that allelic variation by a single mutation G454A in P450 CYP9K1 enzyme drives pyrethroid resistance in Anopheles funestus. Drastic reduction of diversity was noted in Ugandan female An. funestus samples collected in 2014, with a major haplotype (454A) already fixed but absent in other African regions. However, this Ugandan 454A-CYP9K1 haplotype was highly selected within 6 years in An. funestus samples from Cameroon (Central Africa), but still absent in Ghana (West Africa) and Malawi (Southern Africa). Metabolism assays revealed that the 454A-resistant allele metabolized pyrethroid better than the susceptible G454 allele and driving higher pyrethroid resistance in transgenic Drosophila melanogaster flies. DNA-based diagnostics designed around the G454A-CYP9K1 marker strongly correlates with pyrethroid resistance, reducing bed net efficacy indicating that this assay should be added to the toolbox to monitor this 454A-CYP9K1 resistance which is rapidly spreading in An. funestus mosquito populations from Eastern and Central Africa.

genetics↗