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Status of insecticide resistance in Anopheles gambiae (s.l.) of The Gambia
Parasites & Vectorsvolume 12, Article number: 287 (2019)
Vector control activities, namely long-lasting insecticidal nets (LLIN) and indoor residual spraying (IRS), have contributed significantly to the decreasing malaria burden observed in The Gambia since 2008. Nevertheless, insecticide resistance may threaten such success; it is important to regularly assess the susceptibility of local malaria vectors to available insecticides.
In the transmission seasons of 2016 and 2017, Anopheles gambiae (s.l.) larvae were sampled in or around the nine vector surveillance sentinel sites of the Gambia National Malaria Control Programme (GNMCP) and in a few additional sampling points. Using WHO susceptibility bioassays, female adult mosquitoes were exposed to insecticide-impregnated papers. Molecular identification of sibling species and insecticide resistance molecular markers was done on a subset of 2000 female mosquitoes.
A total of 4666 wild-caught female adult mosquitoes were exposed to either permethrin (n = 665), deltamethrin (n = 744), DDT (n = 1021), bendiocarb (n = 990) or pirimiphos-methyl (n = 630) insecticide-impregnated papers and control papers (n = 616). Among the 2000 anophelines, 1511 (80.7%) were Anopheles arabiensis, 204 (10.9%) Anopheles coluzzii, 75 (4%) Anopheles gambiae (s.s.), and 83 (4.4%) An. gambiae (s.s.) and An. coluzzii hybrids. There was a significant variation in the composition and species distribution by regions and year, P = 0.009. Deltamethrin, permethrin and DDT resistance was found in An. arabiensis, especially in the coastal region, and was mediated by Vgsc-1014F/S mutations (odds ratio = 34, P = 0.014). There was suspected resistance to pirimiphos-methyl (actellic 300CS) in the North Bank Region although only one survivor had the Ace-1-119S mutation.
As no confirmed resistance to bendiocarb and actellic 300CS was detected, the national malaria control programme can continue using these insecticides for IRS. Nevertheless, the detection of Ace-1 119S mutation warrants extensive monitoring. The source of insecticide pressure driving insecticide resistance to pyrethroids and DDT detected at the coastal region should be further investigated in order to properly manage the spread of resistance in The Gambia.
Malaria control in The Gambia as in other endemic countries relies on vector control with long-lasting insecticidal nets (LLIN) and indoor residual spraying (IRS) ; globally, these two interventions have averted about 78% of malaria-related deaths and morbidity . Nevertheless, as they rely on efficacious insecticides, the emergence and spread of insecticide resistance may represent a major threat [3,4,5], although LLINs would still offer personal protection against mosquito bites .
IRS has been implemented in The Gambia since 2008, and the insecticide employed for this purpose has varied over the years, firstly DDT and then bendiocarb in 2015–2016, after significant resistance to DDT was observed [4, 7], and pirimiphos-methyl (actellic 300CS) since 2017. Changing the insecticide used for IRS follows the recommendations of the World Health Organization (WHO) Global Plan for Insecticide Resistance Management (GPIRM) of regularly rotating insecticides of different classes .
The choice of the insecticide for use in IRS should be based on the susceptibility of the local vectors to the WHO approved insecticides . The Gambia has routinely conducted insecticide susceptibility tests to guide IRS campaigns (GNMCP unpublished reports). The most recent country-wide survey was done in 2013–2014 and reported high levels of resistance to DDT and pyrethroids .
In collaboration with the Gambian National Malaria Control Programme (GNMCP), the susceptibility of the local malaria vectors to the insecticides commonly used for vector control, namely deltamethrin, permethrin, DDT, bendiocarb and actellic 300CS, was determined during the 2016 and 2017 malaria transmission seasons.
This is a nationwide study carried out in villages at 9 GNMCP vector surveillance sentinel sites: Essau, Farafenni, Mansa Konko, Kuntaur, Brikama, Basse, Bwiam, Pirang, Bakau. Additional sites, Besse, Yallal Ba, Chogen Wellingara, Wali Kunda, Gambisarra, Gunjur Koto and Sare Wuro, that formed part of a countrywide insecticide susceptibility study in 2013–2014, were also included to provide a robust map of insecticide susceptibility patterns  (Additional file 1: Table S1). Villages were grouped into 7 regions to provide an overview of susceptibility per region (Fig. 1). Kanifing Municipality (KMC) located in West Coast Region (WCR) and representing an urban settlement, was considered a region on its own. Central River Region (CRR) was also divided into North (CRRN) and South (CRRS) bank. Similarly, Upper River Region (URR) was divided into North (URRN) and South (URRS). North Bank Region (NBR) was taken as one region.
Collection and rearing of larvae
Malaria vectors were collected over two malaria transmission seasons (July-December), in 2016 and 2017. Two mosquito collection strategies were used to generate adults for susceptibility tests following the WHO susceptibility bioassay protocol , namely larva sampling in their natural breeding habitats or (when larvae could not be found) collection of blood-fed or gravid adults.
Anopheles gambiae (s.l.) larvae were collected from breeding sites in all but two villages, Ngedden and Sare Seedy, where blood-fed or gravid mosquitoes were sampled using mouth aspirators. The larvae were reared according to standard conditions of 27 ± 2 °C and relative humidity of 80 ± 5% in the insectaries at the MRC field stations in Basse and Wali Kunda. The blood-fed/gravid females were placed in a cage and induced to lay eggs by placing a dump filter paper in a Petri dish. They were fed on 10% sugar solution until no more eggs were laid. The eggs were reared to larvae under similar conditions as larvae collected from the field until adults emerged.
Insecticide susceptibility bioassays of Anopheles gambiae (s.l.)
Insecticide-impregnated papers were prepared and supplied by Liverpool Insecticide Testing Establishment (LITE) at the Liverpool School of Tropical Medicine, Liverpool, UK. To validate the effectiveness of the WHO test papers, susceptible laboratory mosquito colony (Anopheles coluzzii Yaoundé strain) was exposed to all the impregnated and control papers. Groups of 20–25 three- to five-days-old adult female mosquitoes were exposed for an hour to either 4% DDT, 0.25% pirimiphos-methyl, 0.1% bendiocarb, 0.75% permethrin and 0.05% deltamethrin impregnated papers . For each insecticide class exposure experiment, random samples of field-collected and susceptible laboratory strain were separately exposed to appropriate control papers. Mortality 24 h post-exposure was recorded for each replicate experiment. All exposure experiments were performed under the temperature of 26 ± 2 °C and relative humidity of 70 ± 10%.
Since mosquito density was low, it was not possible to perform the recommended 5 replicates per insecticide per village. Therefore, to increase the power of the mortality estimates for each insecticide, village data were pooled according to geographical location into 7 regions (Fig. 1, Additional file 1: Table S2). The temperature and humidity were also recorded during the exposure periods.
All exposed mosquitoes were stored in labelled individual Eppendorf tubes with a desiccant-silica gel. They were then transported to the coast for molecular genotyping at the MRC to determine species [11, 12]; known insecticide resistance mutations at the Voltage-gated sodium channel (Vgsc-1014F and Vgsc-1014S) gene that confer knockdown resistance (kdr) against DDT and pyrethroids and mutation at the Ace-1 (Ace-1-119S) gene conferring resistance to organophosphates and carbamates were also investigated using Taqman polymerase chain reactions (PCR) [13, 14]. This was done in a subset of 2000 mosquitoes randomly selected according to 4 main criteria: insecticide exposed; phenotypic status (dead or alive); year of collection and lastly, the number of samples selected per region was proportional to the number of mosquitoes collected (Additional file 1: Table S3).
All statistical analyses were performed in R statistical package . Mortality was estimated by dividing the number of dead mosquitoes per replicate 24 h post-exposure by the total number of mosquitoes exposed. Spearman’s correlation was used to test the effect of temperature and humidity on mortality. Odds ratios, Chi-square and Fisherʼs exact tests were used to measure the association between resistance mutations and susceptibility to insecticides. Proportionality tests (tests of confidence intervals)  were used to establish differences in mortality between regions for each of the insecticides tested. General linear models (GLM) with logit link function for a binomial dependent variable was used to model the effect of kdr, insecticide, species, region and year on mortality.
A total of 4666 female An. gambiae (s.l.) were successfully reared and tested for phenotypic resistance. Of these, 665 were tested against permethrin, 744 to deltamethrin-, 1021 to DDT-, 990 to bendiocarb-, 630 to actellic 300CS-impregnated papers and 616 to control papers. In addition, 600 laboratory strains from Yaoundé, Cameroon, were also used as controls during exposure bioassays.
Species composition and distribution
Of the 2000 anophelines screened for sibling species and molecular markers of insecticide resistance, 1511 (80.7%) were Anopheles arabiensis, 204 (10.9%) Anopheles coluzzii, 75 (4%) Anopheles gambiae (s.s.) and 83 (4.4%) hybrid between An. gambiae (s.s.) and An. coluzzii (An. gam-An. col). The composition and distribution of these species varied by region and year (Fig. 2, P = 0.009). Most An. gambiae (s.s.) were collected in 2016 in the NBR and CRR North; in 2017 few An. gambiae (s.s.) were collected.
Anopheles gambiae (s.l.) phenotypic resistance to insecticides
All susceptible laboratory strain mosquitoes died upon exposure to insecticide-impregnated papers except those in the control papers. During the exposure experiments, mortality in the control group was always less than 5% (data not shown) and therefore Abbottʼs correction was not applied to the mortality estimates. There was no effect of temperature and humidity on mortality, P = 0.299.
Deltamethrin and permethrin
There was marked resistance to deltamethrin and permethrin, especially in KMC and WCR in the coastal region, with only about 30% mortality (Fig. 3). Resistance was also observed in NBR and CRR in 2016 but not in 2017 (Fig. 3). In URRS, resistance to pyrethroids was low in both years with mortality rate of 97%. Permethrin was not tested in 2017 in WCR and NBR. There was high Spearmanʼs correlation coefficient (r = 0.89, P = 0.03) between deltamethrin and permethrin susceptibility. Paired and unpaired Mann-Whitney U-tests did not detect differences in mortalities between the two insecticides.
Higher phenotypic resistance to DDT was recorded in KMC and WCR in the coastal regions, with mortality of about 30% (Fig. 4). In NBR, resistance was low in 2016, with 96% mortality but mortality was significantly lower in 2017, 57.5% (P < 0.001). In CRRS, CRRN and URRS, resistance was only suspected in 2016; however, in 2017 resistance in URRS increased significantly, P = 0.0001 (Fig. 3).
Bendiocarb and pirimiphos-methyl
Mortality estimates against bendiocarb (carbamate) and pirimiphos-methyl (organophosphate) indicate that these insecticides are still effective against malaria vectors (Fig. 5). However, there was suspected emerging resistance to bendiocarb in KMC, WCR, CRRS and URRN; in NBR suspected emerging resistance to actellic 300CS was observed in 2017 (Fig. 4).
Frequency of insecticide resistance molecular markers
Of the 2000 An. gambiae (s.l.) screened for sibling species and markers of insecticide resistance, 93.65% (1873) were successfully genotyped for resistance mutations. Three mosquitoes (2 from CRRN and one from NBR) had the Ace-1 G119S mutation but only one survived exposure to carbamates and no further statistical testing was done.
The frequency of the Vgsc-L1014F (kdrF) and Vgsc-L1014S (kdrS) alleles varied by species and region, with the latter significantly higher than the former, P < 0.001 (Additional file 1: Figure S1 and Table S4). The kdrS and kdrF frequencies were significantly higher at the coast (WCR and KMC) than in the other regions (P < 0.001). In An. arabiensis, the frequency of the kdr alleles varied significantly by region, P < 0.01. Low numbers for other species precluded statistical estimation of frequency and confidence intervals around the estimates (Additional file 1: Table S4).
Knockdown resistance (kdr) markers and phenotypic resistance
In WCR and KMC, An. arabiensis with the kdr mutations were more likely to survive after exposure to either pyrethroids or DDT in both 2016 (odds ratio, OR = 34, P = 0.014) and 2017, (OR = 2.5, P < 0.025). In URR, kdrS conferred survival advantage for An. arabiensis exposed to pyrethroids/DDT only when the data from the two years were pooled (OR = 2.5, P = 0.003). In CRR, there was no relationship between survival and any of the kdr mutations.
In a generalized linear model (GLM), kdrF/S, together with region and year explained significant variation in mortality estimates of An. gambiae (s.l.) to pyrethroids and DDT (Table 1). Although species was not significantly associated with mortality, the best-fit model was the one including species as a variable. Including insecticide did not significantly improve the model, and this variable was excluded. Both kdrF and kdrS significantly explained survival of mosquitoes against the pyrethroids and DDT (Table 2).
In The Gambia, malaria vectors are still susceptible to bendiocarb and actellic 300CS although one An. arabiensis from CRRN and two An. gam-An. col hybrids from CRRN and NBR had the Ace-1 119S mutation that confers resistance to organophosphates and carbamates. Conversely, resistance to pyrethroids and DDT, mediated by Vgsc-L1014F and Vgsc-L1014S, was widespread and more frequent in the coastal region in western Gambia.
Consistent with other published reports [4, 17, 18], three members of the An. gambiae complex, namely An. gambiae (s.s.), An. arabiensis and An. coluzzii, including An. gam-An. col hybrids, were identified and their distribution varied substantially by region; An. arabiensis was the dominant species in almost all regions while An. gambiae (s.s.) was found mainly in two regions. Such results differ from those of the latest nationwide entomological study carried out in 2013–2014 as An. gambiae (s.s.) and An. coluzzii were much more frequent at that time .
Such change in species composition may be due to the use of bendiocarb and actellic 300CS for IRS, which killed the more anthropogenic and endophilic An. gambiae (s.s.) and An. coluzzii, increasing the proportion of the more zoophilic An. arabiensis. This change in species composition has also been observed in Kenya, Tanzania and Senegal [19,20,21]. The predominance of An. arabiensis compared to other, more efficient vectors such as An. gambiae (s.s.), could have also contributed to the decline in malaria transmission observed in The Gambia over the last few years.
Insecticide resistance is known to vary among species and in time and changes in species composition may impact on the status of insecticide resistance . Differences in species composition in NBR could have led to observed variation in observed insecticide resistance.
Mechanisms of insecticide resistance
Vgsc-1014F and Vgsc-1014S mutations in An. arabiensis were associated with phenotypic resistance, particularly in WCR and KMC. This differs from previous reports from The Gambia in which the lack of association between mutations and resistance in this species was explained by the few An. arabiensis tested and the lack of kdr survivors [4, 22]. However, in neighbouring Senegal, kdr alleles in An. arabiensis conferred phenotypic resistance to pyrethroids and DDT, confirming the present results [23, 24].
Among the mosquitoes that survived exposure to pyrethroids/DDT, there were some without kdr mutations, possibly indicating other mechanisms of resistance such as metabolic resistance already implicated in conferring resistance in An. gambiae (s.s.) but not in An. arabiensis . In neighboring Senegal, metabolic and target site resistance have been implicated in An. arabiensis resistance to pyrethroids and DDT .
Both bendiocarb and actellic 300CS insecticides are effective against An. arabiensis in The Gambia. For the suspected resistance to actellic 300CS and bendiocarb, only three mosquitoes carried the Ace-1 119S mutation and only one An. gam-An. col hybrid survived exposure to bendiocarb. One An. arabiensis and one An. gam-An. col hybrid died upon exposure to bendiocarb. Although the Ace-1 119S mutation was not found in samples from the URR, it had been previously identified in An. gambiae (s.s.) from the URR . This may indicate that continued use of bendiocarb/actellic 300CS for IRS may increase its frequency, requiring continuous monitoring of the frequency of this mutation.
As malaria continues to decline, urban malaria will pose challenges to NMCPs in SSA . The Gambia is preparing to enter into the pre-elimination phase by 2020. However, the goal might be threatened by the high insecticide resistance in the western part of the country, which is mostly urban. In this region, the GNMCP distribute only LLIN while IRS is not implemented. The use of commercial pesticides for domestic use and in agriculture is known to contribute to development of insecticide resistance [26, 27]. There is little information on the actual use of pesticides in this area and the GNMCP is collecting such information to identify other sources of insecticide resistance pressure.
Despite the observed insecticide resistance to pyrethroids, LLINs continue to offer personal protection against mosquito bites  and should still be used for malaria control. The use of nets containing piperonyl butoxide (PBO) and insecticide can be useful for restoring the efficacy of insecticides used in LLINs where metabolic resistance is present [28, 29]. Additionally, targeting juvenile stages of mosquitoes using larvicides can help existing vector control activities to maintain the gains made in malaria control. For IRS, resistance mutations should be monitored closely to avert operational failures in malaria control [30,31,32].
Insecticide resistance against deltamethrin, permethrin and DDT mediated by Vgsc-1014F/S was present in An. arabiensis, especially in the coastal region. Between 2016 and 2017, An. arabiensis was the main malaria vector in the Gambia. There was no resistance to bendiocarb across the country but for pirimiphos-methyl, there was suspected resistance only in NBR in 2017. However, the detection of Ace-1 119S warrants extensive monitoring to ensure it does not spread across the country. The GNMCP can therefore continue using pirimiphos-methyl for IRS while adhering to the recommendations of the Global Plan for Insecticide Resistance Management. The GNMCP should also consider doing further studies in the coastal region to understand the source of insecticide pressure driving resistance in this setting.
Availability of data and materials
Data supporting the conclusions of this article are included within the article and its additional files. The raw data are provided in Additional file 2.
long-lasting insecticidal bednets
indoor residual spraying
Gambia National Malaria Control Programme
general linear models
voltage-gated sodium channel gene
glutathione S-transferase E2
West Coast Region
Central River Region North
Central River Region South
Upper River Region North
Upper River Region South
North Bank Region
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We would like to acknowledge the Global Fund Grant to Gambia National Malaria control Programme that funded this study. Special thanks to the management of Gambia NMCP that allowed us to seamlessly undertake the study and report it. We also thank the village Alkalos and village assistants who allowed us to collect mosquito samples from their villages. KOO and BSA are supported by the Wellcome Trust Deltas programme under the Malaria Research Capacity Development fellowships. Special thanks to MARCAD secretariat for allowing us undertake this project.
This study was funded by the Global Fund Grant to the Gambia National Malaria Control Programme, Grant number GMB-M-MOH. KOO and BSA are supported by the Wellcome Trust Deltas Programme under the Malaria Research Capacity Development fellowships. The funders did not have any role in the design, collection, analysis and interpretation of data and writing of this manuscript.
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