Background <p>Landscape features such as the Rift Valley (RV) can restrict gene flow in malaria vectors and influence resistance patterns. Here, we assessed <i>Plasmodium</i> infection rates, resistance alleles and profiles in <i>Anopheles funestus</i> s.s. populations across Kenyan malaria-endemic regions separated by the RV.</p> Methods <p><i>Anopheles funestus</i> s.s. populations in western, coastal and Kerio Valley (KV, within the RV) were genotyped for key resistance markers using polymerase chain reaction (PCR). <i>Taq</i>Man assay combined with nested PCR were used to screen the samples for <i>Plasmodium</i> sporozoite infection and association with resistance alleles and genotype frequencies assessed using Fisher’s exact test or Pearson’s chi-square test. Following established WHO guidelines, phenotypic resistance using F1 progeny was also assessed using diagnostic, intensity and piperonyl butoxide (PBO)-synergistic assays.</p> Results <p>The 4.3kb-SV (<i>n</i> = 336) and <i>G454A-Cyp9k1</i> (<i>n</i> = 445) alleles were nearly fixed in western Kenya but declined towards the RV and coast, whereas L119F-GSTe2 (<i>n</i> = 392) increased across a west-KV-coast gradient with a novel haplotype distinct from known African variants detected at the coast. There were lower odds of <i>Plasmodium</i> infection in mosquitoes with L119F-GSTe2-RR than RS genotype (<i>OR</i> 0.2, <i>P</i> = 0.046). Likewise, mosquitoes harboring the R allele of the 4.3 kb marker had higher <i>Plasmodium</i> infection rates than the S allele (<i>OR</i> 5.7, <i>P</i> = 0.049). <i>An. funestus</i> populations exhibited a high degree of pyrethroid resistance with intensity higher in KV compared to western Kenya, a traditional malaria hotspot. Pre-exposure to PBO increased mortality for type II (deltamethrin, alpha-cypermethrin), than I (permethrin) pyrethroids, yet mortality remained lower in KV, suggesting non-P450-mediated resistance. <i>An. funestus</i> mosquitoes from the coast showed extreme permethrin resistance (&lt; 10% mortality at 10 × dose). Resistance to dichlorodiphenyltrichloroethane was widespread, while all populations remained fully susceptible to bendiocarb, pirimiphos-methyl, clothianidin, and chlorfenapyr.</p> Conclusions <p>Region-specific selection may drive varying resistance profiles in <i>An. funestus</i> across Kenyan malaria-endemic regions separated by the Rift Valley, with implications for malaria transmission and insecticide resistance management.</p>

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Signature of resistance gene evolution and pyrethroid resistance escalation in the major malaria vector Anopheles funestus across Kenyan malaria-endemic regions separated by the Rift Valley

  • David P. Tchouassi,
  • Amine M. Mustapha,
  • Gilbert Rotich,
  • Trizah K. Milugo,
  • Brenda Musimbi,
  • Ambrose Oruni,
  • Carlos S. D. Tagne,
  • Luna Kamau,
  • Mahamat Gadji,
  • Magellan Tchouakui,
  • Baldwyn Torto,
  • Charles S. Wondji

摘要

Background

Landscape features such as the Rift Valley (RV) can restrict gene flow in malaria vectors and influence resistance patterns. Here, we assessed Plasmodium infection rates, resistance alleles and profiles in Anopheles funestus s.s. populations across Kenyan malaria-endemic regions separated by the RV.

Methods

Anopheles funestus s.s. populations in western, coastal and Kerio Valley (KV, within the RV) were genotyped for key resistance markers using polymerase chain reaction (PCR). TaqMan assay combined with nested PCR were used to screen the samples for Plasmodium sporozoite infection and association with resistance alleles and genotype frequencies assessed using Fisher’s exact test or Pearson’s chi-square test. Following established WHO guidelines, phenotypic resistance using F1 progeny was also assessed using diagnostic, intensity and piperonyl butoxide (PBO)-synergistic assays.

Results

The 4.3kb-SV (n = 336) and G454A-Cyp9k1 (n = 445) alleles were nearly fixed in western Kenya but declined towards the RV and coast, whereas L119F-GSTe2 (n = 392) increased across a west-KV-coast gradient with a novel haplotype distinct from known African variants detected at the coast. There were lower odds of Plasmodium infection in mosquitoes with L119F-GSTe2-RR than RS genotype (OR 0.2, P = 0.046). Likewise, mosquitoes harboring the R allele of the 4.3 kb marker had higher Plasmodium infection rates than the S allele (OR 5.7, P = 0.049). An. funestus populations exhibited a high degree of pyrethroid resistance with intensity higher in KV compared to western Kenya, a traditional malaria hotspot. Pre-exposure to PBO increased mortality for type II (deltamethrin, alpha-cypermethrin), than I (permethrin) pyrethroids, yet mortality remained lower in KV, suggesting non-P450-mediated resistance. An. funestus mosquitoes from the coast showed extreme permethrin resistance (< 10% mortality at 10 × dose). Resistance to dichlorodiphenyltrichloroethane was widespread, while all populations remained fully susceptible to bendiocarb, pirimiphos-methyl, clothianidin, and chlorfenapyr.

Conclusions

Region-specific selection may drive varying resistance profiles in An. funestus across Kenyan malaria-endemic regions separated by the Rift Valley, with implications for malaria transmission and insecticide resistance management.