- Open Access
Dynamics of pyrethroid resistance in malaria vectors in southern Benin following a large scale implementation of vector control interventions
© The Author(s). 2016
- Received: 20 February 2016
- Accepted: 22 June 2016
- Published: 4 July 2016
Large-scale implementation of Indoor Residual Spraying and Insecticide Treated Nets has been implemented in Plateau Department, Benin between 2011 and 2014. The purpose of this study was to monitor the frequency and mechanisms of pyrethroid resistance in malaria vectors following the implementation of vector control tools for malaria prevention.
Anopheles larvae were collected in 13 villages twice a year from 2012 to 2014. WHO tube tests were used to assess the phenotypic resistance of each population to 0.05 % deltamethrin. Sibling species within Anopheles gambiae complex were identified by PCR techniques. Taqman and biochemical assays were performed to identify the presence of kdr mutations in individual mosquitoes and to detect any increase in the activity of enzymes putatively involved in insecticide metabolism (oxidases, esterase and glutathione-S-transferases). Quantitative real time PCR was used to measure the expression of three metabolic genes involved in pyrethroid resistance (CYP6P3, CYP6M2 and GSTD3).
Anopheles populations showed < 90 % mortality to deltamethrin in all villages and at all time points. The 1014 F kdr allele frequency was close to fixation (> 0.9) over the sampling periods in both An. gambiae and An. coluzzii. Biochemical assays showed higher activities of alpha esterase and GST in field malaria vector populations compared to susceptible mosquitoes. qPCR assays showed a significant increase of CYP6P3, CYP6M2 GSTD3 expression in An. gambiae after a three-year implementation of LLINs.
The study confirmed that deltamethrin resistance is widespread in malaria vectors in Southern Benin. We suspect that the increase in deltamethrin resistance between 2012 and 2014 resulted from an increased expression of metabolic detoxification genes (CYP6M2 and CYP6P3) rather than from kdr mutations. It is urgent to evaluate further the impact of metabolic resistance on the efficacy of vector control interventions using pyrethroid insecticides.
- Vector control
- Insecticide resistance
- Metabolic gene
Global malaria vector control efforts rely on the use of Long Lasting Insecticide Nets (LLINs) and Indoor Residual Spraying (IRS). Twelve insecticides belonging to four chemical classes (organochlorines, organophosphates, carbamates and pyrethroids) are approved by the World Health Organization (WHO) for malaria vector control. All of these insecticides are neurotoxic and either target acetyl cholinesterase in the synapses or the voltage-gated sodium channel (VGSC). Pyrethroids are the only insecticides recommended by the WHO for LLINs because of their low mammalian toxicity, fast action, and high insecticidal activity . Unfortunately, pyrethroid resistance has developed in most malaria vector species worldwide including Africa . Indeed, two major mechanisms are known to confer pyrethroid resistance in malaria vectors: target site modification (kdr mutations) and increased metabolism of insecticides through detoxifying enzymes. The L1014F and L1014S substitutions in the para VGSC in the domains III-IV are known to decrease affinity of pyrethroids for this receptor . Recently the mutation N1575Y has been described to potentiate the effect of the L1014F mutation . The second resistance mechanism is called “metabolic” through higher catalytic properties and/or overexpression of carboxylesterases (COEs), cytochrome P450 mono-oxygenases (P450s) and Glutathione S-Transferases (GSTs) . Some members of these families such as CYP6M2, CYP6Z2, CYP6P3 are known to contribute to pyrethroid detoxification in Anopheles mosquitoes . Both metabolic and target site (kdr) resistance are present west Africa  and particularly Benin  and are suspected to reduce the efficacy of vector control intervention [9, 10].
Since 2007 the National Malaria Control Program (NMCP) in Benin has implemented a nationwide distribution of LLINs. In 2011, 5,135,942 LLINs were distributed in Benin  followed by 5,663,220 in 2014 with a coverage of 97 % and 80 % respectively. In the study area, LLINs distributed in 2011 contained permethrin/deltamethrin (pyrethroids) while those distributed in 2014 contained deltamethrin only (data from NMCP). After implementation of vector control interventions, it is essential to monitor any changes in susceptibility/resistance status of malaria vectors populations to public health insecticide (WHO 2015). Many cross-sectional studies were done to address the spatial distribution of pyrethroid resistance in Anopheles at a given time  but few longitudinal studies were conducted to address temporal changes in pyrethroid resistance phenotype following the implementation of vector control interventions.
The aim of this study was to investigate the dynamic of pyrethroid resistance in malaria vectors from 2012 to 2014 in 13 villages of Plateau Department and to characterize the mechanisms involved by monitoring changes in the frequency and expression of pyrethroid-resistance markers. The outcomes shall help the NMCP to implement more effective vector control strategy against pyrethroid resistance populations.
Localisation and demographic information of study area
Mosquito collections were conducted during five rainy seasons. The larval sampling periods were June to August 2012 (termed June 2012), October to November 2012 (termed October 2012), May to July 2013 (termed June 2013), October to November 2013 (termed October 2013) and June to August 2014 (termed June 2014). In every survey, mosquito larvae were collected across the villages from several temporary breeding habitats, including household water storage . Whenever possible, more than six larval habitats were examined per village. Mosquito larvae were transported to CREC, Cotonou and reared in an insectary under standard conditions (relative humidity 80 % ± 10 % and temperature 25 °C ± 2 °C). Adult mosquitoes were maintained with 10 % honey solution after emergence.
Insecticide susceptibility test
Bioassays were carried out on 2–5 old females using deltamethrin at the diagnostic dose of 0.05 % according to standard WHO procedures . The laboratory susceptible reference strain of An. gambiae (Kisumu) was used to check the quality of the impregnated paper. After 1 h of insecticide exposure, mosquitoes were transferred to holding tubes and fed with 10 % honey solution. Mortality was recorded 24 h post-exposure. For each test, mosquitoes were also exposed to untreated paper to assess natural (control) mortality and to keep a batch of non-exposed mosquitoes for biochemical and molecular studies. Abbott’s formula was used to correct the mortality when control mortality was between 5 and 20 %. After the test, legs were cut from control non-exposed mosquitoes for molecular determination and bodies were kept in RNA later at -20 °C for mRNA expression. Another batch was frozen at -80 °C for biochemical studies.
Molecular and biochemical assays
Genomic DNA was extracted using cetyl trimethyl ammonium bromide (CTAB) 2 % method modified from Doyle 1987 . Briefly, mosquitoes were ground in CTAB 2 % then heated in a water bath at 65° for 5 min. Chloroform was added to tubes, mixed by inversion, centrifuged and the upper phase transferred into another tube. DNA was precipitated with isopropanol and then washed once with 70 % cold ethanol. DNA was dried and suspended in distilled water. Species determination was performed by PCR . The 1014 F and 1014S kdr mutations were detected by allelic discrimination Taqman assays as described by Bass  on field non-exposed females. Biochemical assay was used to quantify amounts of mixed function of oxidases (MFO), glutathione S-transferases (GST) and activities of non-specific esterase (NSE) using 30 female mosquitoes (non-exposed) for each village as described by Hemingway . Each plate contained 10 unfed Kisumu adults used as the susceptible control. These biochemical tests were carried out on mosquitoes collected in June 2012 and June 2013 only due to insufficient sample size from others surveys.
RNA extraction and reverse transcription quantitative PCR
Primers used in RT-qPCR
Primer sequence (5'–3')
PCR efficiency (%)
Mann-Whitney test implemented in R 2.15.2 software is used to compare (i) mosquito mortalities between villages and sampling periods; and (ii) levels of enzymatic activity between the lab reference strain and field mosquitoes. A linear mixed model with villages as random effect implemented in R 2.15.2 software was used to test the effect of surveys and villages on mortality. WHO criteria for discriminating individuals for susceptibility/resistance status were applied: 98–100 % mortality indicating susceptibility; 90–97 % suspected resistance and < 90 % mortality-confirmed resistance . Spearman's correlation test was used to investigate (i) the link between kdr allele frequency of field mosquitoes and mortality; (ii) between Anopheles species and mortality; and (iii) the fold expression of cytochrome P450 and the mortality by survey. All differences were considered significant for P-value < 0.05. The relative expression of target genes were determined according to ΔΔCt methods described by Schmittgen & Livak . QPCR data were analysed using simple statistical randomization tests implemented in REST 2009 software.
In June 2012 and June 2014 (beginning of the rainy season) all Anopheles populations from the 13 villages were resistant to deltamethrin (mortalities < 90 %). From October 2012 to October 2013, mortalities exceeded 90 %, indicating that most of the Anopheles populations collected in the villages were suspected to be resistant. Three villages showed mortalities up to 97 % at the same period, indicating susceptibility. There was no strong correlation between mortality and proportions of both Anopheles species: An. gambiae (ρ = 0.34, CI 95% = 0.12–0.52, P = 0.008), An. coluzzii (ρ = -0.28, CI 95% = -0.510– -0.009, P = 0.030).
In the study area, genotyping results showed that 1014 F kdr allele frequency increased over time i.e. f(1014 F) was 0.67; 0.91; 0.92; 0.90 and 0.92 in June 2012, October 2012, June 2013, October 2013 and June 2014, respectively (Table 4). Kdr mutation was almost fixed in the study area and equally distributed between An. coluzzii and An. gambiae. Anopheles susceptibility to deltamethrin was not correlated with the kdr frequency over time (ρ = 0.146, CI 95% = 0.151–0.444, P = 0.336).
Detoxification enzyme activities of Anopheles in June 2012 and June 2013
0.202 ± 0.08
0.118 ± 0.03
0.140 ± 0.06
0.147 ± 0.08
0.141 ± 0.07
0.101 ± 0.04
0.105 ± 0.10
0.117 ± 0.09
0.094 ± 0.05
0.090 ± 0.06
0.038 ± 0.02
0.091 ± 0.03
0.264 ± 0.15
0.142 ± 0.03
0.521 ± 0.63
0.280 ± 0.65
This study addressed the dynamic of deltamethrin resistance in malaria vectors in the department of Plateau Benin, following a large scale implementation of malaria vector control tools. A combination of biological, biochemical and molecular assays were used to assess the frequency and mechanisms of pyrethroid-resistance in An. gambiae (s.l.) collected in 13 villages over three years. The results showed that An. coluzzii and An. gambiae were found in sympatry during all of the sampling periods but at various frequencies. A previous study demonstrated similar distribution of sibling species within An. gambiae (s.l.) complex in the study area .
Bioassay results showed significant variations of deltamethrin phenotypic resistance according to the surveys. Anopheles populations from the 13 villages were resistant to deltamethrin in June 2012 and June 2014 (< 90 % mortality) but mostly susceptible in October 2012 and 2013 (only 5 of 13 populations showed mortality < 90 %). This strong variation of phenotypic resistance in such a short period of time is difficult to explain knowing that environmental conditions did not change much between surveys (temperature 25 ± 2 °C and humidity 80 ± 10 %). The frequency of the 1014 F kdr mutation was high in June 2012 in both species and did not increase much until June 2014. Consequently, it is unlikely that the kdr mutation alone contributed greatly to the phenotype observed. A previous study questioned the causal association between kdr genotype and pyrethroid resistance (especially for type II pyrethroids) and suggested that the kdr genotype may not necessarily be the best predictor of resistance in malaria vectors. The 1014S kdr mutation originally from East Africa  was not detected in the present study. So far this mutation was found in Benin at a very low frequency in An. arabiensis .
Kdr allelic frequencies in An. coluzzi and An. gambiae. f(1014)F was determined by qPCR. N represents the number of alleles tested
CYP6M2 and CYP6P3 are regularly associated with pyrethroid resistance  and have been validated as pyrethroid metabolizers [25, 26]. No correlation was noted, however, between the oxidase activity and P450 gene expression. This can be explained by a lack of sensitivity and specificity of biochemical assays that employ generic heme peroxidase assays that are recognized by many members of the enzyme family . The use of mixed populations (An. gambiae and An. coluzzii) during biochemical tests may have also affected the outcomes. Overexpression of CYP6M2 and CYP6P3 is widespread in West Africa including Benin, Nigeria , Ghana  and should be routinely monitored by national malaria control programmes. In addition, GSTD3 was found up regulated in Anopheles in June 2012 and 2014 hence correlating results of both, the biochemical test and bioassays. GSTD3 was found upregulated in DDT-resistant An. arabiensis and An. gambiae in Burkina Faso and Benin, respectively . GSTs are regularly found overexpressed in many pyrethroid-resistant mosquitoes [27, 28]. Some studies suggested their potential role against oxidative stress  and in pyrethroid sequestration . Although the role of mosquito GSTs in pyrethroid resistance is likely, understanding the underlying mechanisms requires further investigations.
In Benin, the use of pesticides for both vector control and agricultural practices (cotton crops and vegetable farms) are known to be a major source of selection pressure on malaria vectors [31–33]. For example, a randomized controlled trial conducted in southern Benin showed an increase in the kdr frequency from 20 to 80 % in An. gambiae eighteen months after the distribution of LLIN at community level . We suspect that the increased coverage of deltamethrin-LLINs in 2014 in the study area (80 %, NMCP) has contributed to selection for pyrethroid-resistance metabolic markers. The role of agricultural practices in the selection of insecticide resistance in An. gambiae remains unknown. No significant changes in land use and agricultural practices were observed during the three-year follow-up but we could not record the type and amount of insecticides used by native farmers for crop protection. Similarly, the larval exposure to various xenobiotics (e.g. heavy metals, oils, fungicides, pollutants) that are known to modulate/enhance the metabolic detoxification profile of mosquitoes could not be investigated [34, 35]. Clearly, much work has to be done to address the environmental factors contributing to resistance selection in malaria vectors in Benin.
The present study was part of a multidisciplinary project funded by the Bill & Melinda Gates Foundation that aims at addressing whether insecticide resistance can impact on the effectiveness of malaria vector control tools in Africa. Up to now the results of the first year follow-up did show substantial impact of insecticide resistance on the efficacy of LLINs in southern Benin  but analyses of years 2 and 3 are still ongoing.
This study monitored the levels and mechanisms of deltamethrin resistance in major malaria vectors in the Plateau department, Benin, after a three-year implementation of malaria vector control. The results showed that resistance to deltamethrin in malaria vectors was widespread and multifactorial. We also suspect that the increase in deltamethrin resistance between 2012 and 2014 resulted from an increased expression of metabolic detoxification genes (CYP6M2 and CYP6P3) rather than kdr mutations. It is now urgent to evaluate further the impact of metabolic resistance on the efficacy of vector control interventions using pyrethroid insecticides.
CTAB, Cetyl Trimethyl Ammonium Bromide; DDT, Dichlorodiphényltrichloroéthane; GST, Gluthatione S-transferase; IRS, Indoor Residual Spraying; Kdr, Knockdown resistance; LLIN, Long Lasting Insecticide Nets; MFO, Mixed Function of Oxidase; NMCP, National Malaria Control Program; NSE, Non-Specific Esterase; WHO, World Health Organization
The authors thank Martin Donnelly for proofreading the manuscript and the Mediterranean Infection foundation for supporting GAY.
Field samplings were supported by the Bill and Melinda Gates Foundation (Grant Number 48499.01). This research forms part of a multi-country study coordinated by the Global Malaria Program of the World Health Organization.
Availability of data and material
GAY, participated to field studies, data analysis and manuscript writing. SA, JA, performed molecular biology. CS, ID, participated to field collection and bioassays. MA, VC, SC, participated in the coordination and study design and manuscript preparation. All authors read and approved the final version of the manuscript.
The authors declare that they have no competing interests.
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