scholarly journals The effect of a single blood meal on the phenotypic expression of insecticide resistance in the major malaria vector Anopheles funestus

2008 ◽  
Vol 7 (1) ◽  
pp. 226 ◽  
Author(s):  
Belinda L Spillings ◽  
Maureen Coetzee ◽  
Lizette L Koekemoer ◽  
Basil D Brooke
2020 ◽  
Author(s):  
Lynda Nouage ◽  
Emmanuel Elanga-Ndille ◽  
Achille Binyang ◽  
Magellan Tchouakui ◽  
Tatiane Atsatse ◽  
...  

AbstractInsecticide resistance genes are often associated with pleiotropic effects on various mosquito life-history traits. However, very little information is available on the impact of insecticide resistance, especially metabolic resistance, on blood feeding process in mosquitoes. Here, using two recently detected DNA-based metabolic markers in the major malaria vector, An. funestus, we investigated how metabolic resistance genes could affect blood meal intake.After allowing both field F1 and lab F8 Anopheles funestus strains to feed on human arm for 30 minutes, we assessed the association between key parameters of blood meal process including, probing time, feeding duration, blood feeding success and blood meal size, and markers of glutathione S-transferase (L119F-GSTe2) and cytochrome P450 (CYP6P9a_R) - mediated metabolic resistance. None of the parameters of blood meal process was associated with L119F-GSTe2 genotypes. In contrast, for CYP6P9a_R, homozygote resistant mosquitoes were significantly more able to blood-feed than homozygote susceptible (OR = 3.3; CI 95%: 1.4-7.7; P =0.01) mosquitoes. Moreover, the volume of blood meal ingested by CYP6P9a-SS mosquitoes was lower than that of CYP6P9a-RS (P<0.004) and of CYP6P9a-RR (P<0.006). This suggests that CYP6P9a gene affects the feeding success and blood meal size of An. funestus. However, no correlation was found in the expression of CYP6P9a and that of genes encoding for salivary proteins involved in blood meal process.This study suggests that P450-based metabolic resistance may increase the blood feeding ability of malaria vectors and potential impacting their vectorial capacity.


2016 ◽  
Vol 9 (1) ◽  
Author(s):  
Jacob M. Riveron ◽  
Michael Osae ◽  
Alexander Egyir-Yawson ◽  
Helen Irving ◽  
Sulaiman S. Ibrahim ◽  
...  

2016 ◽  
Vol 15 (1) ◽  
Author(s):  
Rousseau J. Djouaka ◽  
Seun M. Atoyebi ◽  
Genevieve M. Tchigossou ◽  
Jacob M. Riveron ◽  
Helen Irving ◽  
...  

2010 ◽  
Vol 3 (1) ◽  
pp. 67 ◽  
Author(s):  
O R Wood ◽  
S Hanrahan ◽  
M Coetzee ◽  
L L Koekemoer ◽  
B D Brooke

PLoS ONE ◽  
2014 ◽  
Vol 9 (10) ◽  
pp. e110058 ◽  
Author(s):  
Charles Mulamba ◽  
Jacob M. Riveron ◽  
Sulaiman S. Ibrahim ◽  
Helen Irving ◽  
Kayla G. Barnes ◽  
...  

2021 ◽  
Author(s):  
Victoria A Ingham ◽  
Jacob A Tennessen ◽  
Eric R Lucas ◽  
Sara Elg ◽  
Henrietta Carrington-Yates ◽  
...  

Insecticide resistance is a major threat to gains in malaria control, which have been stalling and potentially reversing since 2015. Studies into the causal mechanisms of insecticide resistance are painting an increasingly complicated picture, underlining the need to design and implement targeted studies on this phenotype. In this study, we compare three populations of the major malaria vector An. coluzzii: a susceptible and two resistant colonies with the same genetic background. The original colonised resistant population rapidly lost resistance over a 6-month period, a subset of this population was reselected with pyrethroids a third population of this colony that did not lose resistance was also available. The original resistant, susceptible and re-selected colonies were subject to RNAseq and whole genome sequencing, which identified a number of changes across the transcriptome and genome linked with resistance. Firstly, an increase in the expression of genes within the oxidative phosphorylation pathway were seen in both resistant populations compared to the susceptible control; this translated phenotypically through an increased respiratory rate, indicating that elevated metabolism is linked directly with resistance. Genome sequencing highlighted several blocks clearly associated with resistance, including the 2Rb inversion. Finally, changes in the microbiome profile were seen, indicating that the microbial composition may play a role in the resistance phenotype. Taken together, this study reveals a highly complicated phenotype in which multiple transcriptomic, genomic and microbiome changes combine to result in insecticide resistance.


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