Skip to main content

Microdistribution of the resistance of malaria vectors to deltamethrin in the region of Plateau (southeastern Benin) in preparation for an assessment of the impact of resistance on the effectiveness of Long Lasting Insecticidal Nets (LLINs)



This study aims to research two areas, one with a resistant and the other with a susceptible profile of An. gambiae to deltamethrin in the region of Plateau (southern Benin). In each area, eight localities were sought. Both areas were needed for the assessment of the impact of malaria vector resistance to pyrethroids on the effectiveness of Long Lasting Insecticidal Nets (LLINs). The susceptible area of An. gambiae to deltamethrin was used as a control.


In total, 119 localities in the region of Plateau were screened by sampling An. gambiae s.l larvae. Female mosquitoes resulting from these larvae were exposed to 0.05% deltamethrin following WHO standards. PCR was used to identify species and molecular forms of the dead and alive mosquitoes. Finally, we identified kdr mutations (1014 F and1014S) using the HOLA technique.


Fifty-six out of 119 prospected localities tested positive for Anopheles gambae s.l breeding sites. The results showed that An. gambiae was resistant to deltamethrin in 39 localities and susceptible in only 2 localities; resistance to deltamethrin was suspected in 15 localities. The HOLA technique confirmed the presence of kdr 1014 F mutation and the absence of kdr 1014S mutation. The kdr 1014 F mutation was found in both M and S molecular forms at relatively high frequencies therefore confirming the susceptibility tests.


We were unable to identify the eight susceptible areas due to the overall resistance of An. gambiae to deltamethrin in the region of Plateau. To implement the study, we kept two areas, one with high resistance (R+++) and the other with low resistance (R+) of An. gambiae to deltamethrin.

Peer Review reports


Benin, like many other African countries, has based its vector control strategy on two major interventions: universal access to Long Lasting Insecticidal Nets (LLINs) and Indoor Residual Spray (IRS). Thus, in late July 2011, a large scale distribution of LLINs had been conducted by Benin National Malaria Control Program (NMCP) with the support of the World Bank, the US President’s Malaria Initiative (PMI) and the World Health Organization (WHO). Another distribution campaign had already been conducted in October 2007 to ensure a partial and selective coverage in two types of LLINs, PermaNet® and OlysetNet® respectively impregnated with deltamethrin and permethrin. A national survey assessing the 2007 campaign revealed that 56.3% of children under 5 years and 54.8% of pregnant women slept under a LLIN the night before the survey [1]. The current study carried out between April and early July 2011 had taken place between the two aforementioned distribution campaigns.

Insecticide resistance has become widely distributed in Western [25], Eastern [6], Central [7] and Southern Africa [8]. This could be a serious obstacle to the effectiveness of LLINs. This raises an important question within National Malaria Control Programmes (NMCPs): should we continue to promote LLINs? The question has been explored by N’Guessan et al.[9] who demonstrated a decrease in the effectiveness of LLINs and lambdacyhalothrin IRS in an area of high resistance of Anopheles gambiae in Southern Benin. They compared the effectiveness of mosquito nets in two areas, one area with resistant An. gambiae populations to pyrethroids and one other where An. gambiae is susceptible to pyrethroids. However, the study was conducted on an experimental scale using experimental huts. It is therefore difficult to predict what would happen at a community level.

For that reason, a large scale study investigating the impact of malaria vector resistance to pyrethroids on the effectiveness of LLINs was initiated in late July 2011. In the context of universal access to LLINs, the implementation of such an impact study requires the identification of two areas: one area where An. gambiae was highly resistant to pyrethroids, and one other where An. gambiae was still susceptible to pyrethroids. The latter area would serve as a control area. The main objective of this article is the determination of these two areas. This will allow the comparison of the effectiveness of LLINs between the two areas.

The results of a previous study conducted in forty districts in Southern Benin revealed that the entire region is covered by pyrethroids resistant populations of An. gambiae[5]. However, a few pockets of susceptible populations of An. gambiae has been reported in two districts (Ifangni and Adja-wèrè) located in the region of Plateau [5]. This is why we selected this region for the implementation of our impact study. However, we decided to randomly implement the study in 16 localities (8 localities constituting the resistant area and 8 others representing the susceptible area). We then multiplied larval prospections and susceptibility tests in many localities across four districts within the region of Plateau. Unfortunately, we were unable to identify the 8 localities of high susceptibility of An. gambiae as previously expected. We then decided to replace the susceptible area by an area where An. gambiae has a low resistance [low resistant area (R+ area) vs high resistant (R+++ area)].

Regarding the susceptibility tests, we had the choice between deltamethrin and permethrin, two insecticides used to impregnate PermaNet® and OlysetNet®. We ended up choosing deltamethrin. This choice has been motivated by evidence suggesting a wide distribution of high vector resistance to permethrin in Southern Benin [5]. Under these conditions, we believed that the probability to identify localities where An. gambiae is susceptible to permethrin is low.

From April to early July 2011, we conducted several field missions across four districts in the region of Plateau. Results from the susceptibility tests helped classify the localities between the two resistant (R+ and R+++) areas. In both R+ and R+++ areas, a study of malaria transmission and vector behavior had been implemented.


Study area

The study was conducted in the region of Plateau in the south-east of Benin and specifically in the districts of Ifangni, Sakété, Pobè and Kétou. This region has an area of 3,264 km2, with a total population of 407,116 inhabitants [10]. Fifty-six localities which tested positive for An. gambiae larvae are mostly rural and represent 31.3% (56/179) of the localities of the four districts to which they belong, which total area is 2,849 km2[10]. The climate in the Plateau region is Guinean with two rainy seasons and two dry seasons. The region records an annual rainfall between 800 mm and 1200 mm in its western part and between 1000 mm and 1400 mm in its eastern part. The cropping system is characterized by the practice of two annual growing seasons associated with rainfall patterns. Corn crop is predominant. The whole area is strewn with swamps. These swamps are used for the production of off-season crops and the installation of ground farms for various species. Different economic activities take place in the region of Plateau because of the opportunities offered by the natural environment but also its closeness to Nigeria, which has a polarizing action in the region. The region of Plateau abounds with farmers and traders.

Collection and breeding of larvae and pupae of Anopheles mosquitoes

From April to early July 2011, 119 localities were prospected in all four districts, of which 56 tested positive for Anopheles breeding sites. Localities which tested positive were geo-referenced using a Global Positionning System (GPS).

Larvae and pupae of An. gambiae were collected in collections of water using the "dipping" technique [11]. This technique consists of collecting larvae and pupae, using a simple ladle, from positive breeding sites. Larvae and pupae were kept separately in labeled bins and taken to the insectary of the “Centre de Recherche Entomologique de Cotonou” (CREC) for rearing. After emergence, adults of 2 to 5 days old were used for susceptibility testing in the laboratory.

Susceptibility tests

Susceptibility tests were performed according to the WHO susceptibility tube-test with unfed female Anopheles, aged 2 to 5 days. These tests were performed with paper impregnated with deltamethrin at the diagnostic dose of 0.05%.

Batches of 25 female mosquitoes aged 2 to 5 days were added to each tube carpeted with deltamethrin impregnated paper for 60 minutes. Batches exposed to untreated papers were used as control. Mosquitoes of the susceptible Kisumu strain were exposed to deltamethrin (0.05%) treated filter papers. The number of field mosquitoes knocked down as a result of the insecticide effect was recorded every ten minutes during the exposure time period. After 60 minutes of exposure, mosquitoes were transferred to the observation tubes and fed with a 10% honey solution and kept under observation for 24 hours. At the end of the observation time, mortality rates were determined. These rates were construed in accordance with the recommended criteria by WHO [12]. The resistance status was determined based on the following criteria:

–Mortality > 97%: susceptible Anopheles population.

–Mortality 80 – 97%: suspected resistance in the Anopheles population.

–Mortality < 80%: resistant Anopheles population.

Given the small number of localities where An. gambiae was susceptible to deltamethrin, we decided to define R+ localities as all localities where Anopheles mortality was greater than or equal to 80%. All localities with mortality rates below 80% were considered highly resistant (R+++ localities).

We did not choose the 80% cutoff at random to separate both areas. This criterion was chosen according to the WHO standard to identify highly resistant mosquitoes [12]. We considered suspected resistant mosquitoes and susceptible ones [12] as lowly resistant.

After susceptibility testing, mosquitoes were kept on silicagel at −20°C for molecular characterization.

Selection of the localities into R+ and R+++areas

After testing for susceptibility, we randomly selected the sixteen localities for the implementation of our impact study at both defined resistance levels (R+ and R+++) in order to avoid selection bias.

Molecular characterization of An. gambiae, PCR species, molecular forms and kdr 1014 F and 1014S

For each locality, 22–49 females Anopheles were analyzed by PCR according to the protocol described by Scott et al.[13]. Identification of Anopheles species was made according to the protocol described by Favia et al.[14]. For each locality, DNA extracts from An. gambiae allowed us to look at the simultaneous presence of kdr mutation 1014 F and 1014S as recommended by Lynd et al.[15].

Mapping of the resistance

The geographical coordinates of the localities where larvae were collected from were recorded by GPS and projected onto a map of the region of Plateau. The three levels of susceptibility of Anopheles to deltamethrin (0.05%) according to the criteria of the WHO [12] (sensitive, resistant and suspected resistance) were shown on the map. Overall, 56 localities were mapped.

Statistical analysis

The calculation of mortality rates was performed using MS Excel spreadsheet. The chi-square test of comparison of proportions was used to compare mortality rates within localities of the same district and within the two defined areas (R+ and R+++). Knockdown times (KdT50 and KdT95) were determined by logistic regression with probit link. We used the delta-method to determine the 95% Confidence intervals of the KdTs for the two areas. The variation in kdr frequency between the two areas, and between both M and S forms of An. gambiae was assessed via a logistic regression [16]. The same statistical method was used to assess the spatial variation in resistance levels within districts. The analysis of deviance penalized by the dispersion parameter [17] was used to assess the relevance of the variability.

All analyses were performed with R-2.15.2 statistical software [18].


Deltamethrin-induced mortalities in 56 localities

The An. gambiae Kisumu reference strain was susceptible to deltamethrin (0.05%), showing 100% mortality.

Mortality rates obtained after exposing An. gambiae wild populations to deltamethrin (0.05%) varied between 20% and 100%.

In Ifangni, mortality rates ranged from 20% in Gblo-gblo and Djègou-djègui to 100% in Zihan. Out of 19 localities, An. gambiae was found susceptible only in 2 localities (Zihan and Ko-Aïdjèdo). Suspected resistance was observed in 10 localities (Table 1).

Table 1 Resistance status of An. gambiae s.l populations to deltamethrin in the localities of Ifangni and Sakété

In Sakété, An. gambiae was not susceptible. In Iwaï, Idi and Djohounkollé suspected resistance was noted (Table 1).

In the district of Pobè, mortality of An. gambiae mosquitoes ranged from 45% in Obanigbé to 85% in Agbarou. An. gambiae proved resistant in all localities except Agbarou where suspected resistance was observed (Table 2).

Table 2 Resistance status of An. gambiae s.l populations to deltamethrin in the localities of Pobè and Kétou

In Kétou, the lowest mortality rate of An. gambiae (67%) was obtained in Alakouta versus 83% in Adjozounmè. Out of a total of 15 localities evaluated, suspected resistance was noted only in Adjozounmè, while full resistance was observed in all other localities (Table 2).

The lowest KdT50 (31 minutes) was obtained in Yoko Centre (district of Sakété) versus 375 minutes in Illékpa (district of Pobè) (Tables 1 and 2).

Overall, across the 56 localities of the four districts, An. gambiae was resistant to deltamethrin in 39 localities. However, susceptibility was noted in An. gambiae mosquitoes from 2 localities of the district of Ifangni. Resistance of An. gambiae to deltamethrin (0.05%) was suspected in 15 localities (Tables 1 and 2).

Categorization of localities as R+ and R+++across the four districts

Overall, out of the 56 localities, 16 were categorized as R+ and 40 as R+++ based on the mortality rates observed (Tables 1 and 2). Out of the 16 R+ localities, 11 including the two susceptible ones were located in the district of Ifangni, 3 in Sakété, 1 in Pobè and 1 in Kétou (Tables 1 and 2). Localities classified as R+++ were distributed as follows: 8 in Ifangni, 9 in Sakété, 9 in Pobè and 14 in Kétou (Tables 1 and 2).

Based on these results, 8 localities (Itakpako, Araromi, Ko-koumolou, Djohounkollé, Ko-Aïdjèdo, Lokossa, Kétougbékon and Iwaï) were randomly selected in the R+ area and 8 other (Mowodani, Banigbé, Okoofi 2, Ikèmon, Akadja, Idéna 2, Igbola and Tchaada) in the R+++ area for the implementation of our impact assessment study.

Mortality rates were 84% (516/617) in the R+ area made of 8 R+ localities versus 45% (296/651) for the R+++ area composed of 8 R+++ localities (p <0.0001). Statistical analysis also showed that the risk that mosquitoes die in contact with deltamethrin was six times higher in the R+ area than in the R+++ area (OR = 0.15, 95% CI: 0.10-0.23, p < 0.0001). In addition, the KdT95 was 67 minutes (95% CI: 52.80-86.21) in R+ area versus 93.4 minutes (95% CI: 87.06-113.93) in the R+++ area (p < 0.05).

Molecular characterization of mosquitoes from 16 selected localities (8 R+ and 8 R+++)

Identification of species and forms of An. gambiae complex

After testing for susceptibility, Polymerase Chain Reaction (PCR) was used to identify species of An. gambiae s.l complex, and the identification of the different forms of each An. gambiae s.s species. This characterization was carried out on the collected mosquitoes from the 16 selected localities.

The results show that out of the 506 specimens of An. gambiae s.l evaluated in all 16 localities, only An. gambiae s.s was found in all localities. Both molecular forms M and S of An. gambiae s.s were found in sympatry in all the 16 localities. Overall, 66.8% (338/506) of the mosquitoes belonged to the form M and 32.6% (165/506) to the form S. The proportion related to one or the other form varies depending on the locality (Figure 1). An. gambiae s.s form M was predominant in most localities except Lokossa and Ko-Aidjèdo in Ifangni, Igbola in Sakété and Idéna 2 in Kétou. Both forms were found in similar proportions in Tchaada (12 An. gambiae s.s form M out of 22).

Figure 1

Distribution of An. gambiae s.s. molecular forms per locality.

Some hybrid individuals M/S (0.6%) were also found in Itakpako (district of Ifangni) and Igbola (district of Sakété).

Detection of the kdr mutation in the molecular forms (M and S) of An. gambiae s.s

The 1014S kdr mutation originally from East Africa was absent in 497 mosquitoes tested. However, the 1014 F kdr mutation was detected in the four districts of the region of Plateau. The 1014 F kdr mutation was found in both M and S molecular forms of An. gambiae s.s but at variable frequencies depending on the locality. Indeed, the frequency of the kdr mutation varies between 0.50 and 0.93 in the form M and between 0.45 and 0.92 in the form S (Table 3). The small number of characterized mosquitoes in some localities did not allow for accurate estimation of the frequency of this mutation. These localities are Tchaada and Lokossa in the district of Ifangni and Igbola in the district of Sakété.

Table 3 Frequencies of 1014 F kdr mutation within An. gambiae s.s. molecular forms

By combining data from the two areas (R+ and R+++), the kdr frequency was similar within both molecular forms: M [F(kdr) = 0.74] and S [F(kdr) = 0.67] with p = 0.17 (Table 3). Furthermore, the aggregated data from the two molecular forms yielded a kdr gene frequency estimated at 0.70 in the R+ area versus 0.74 in the R+++ area. There is no difference between the frequency of the kdr mutation between the two areas (p = 0.13).

Mapping of the resistance of An. gambiaeto deltamethrin

Various resistance levels to deltamethrin were observed based on the WHO criteria [12]. Figure 2 illustrates the mapping of the resistance of An. gambiae to deltamethrin in the prospected localities. Overall, the map shows the profile of An. gambiae resistance to deltamethrin in the region of Plateau in 2011. A concentration of localities where An. gambiae was susceptible or suspected resistance to deltamethrin is distinguishable in the district of Ifangni. On the other hand, An. gambiae was resistant in most localities in the districts of Sakété, Pobè and Kétou.

Figure 2

Map showing the distribution of An. gambiae resistance to deltamethrin in the Plateau region.

Table 4 shows the results of logistic regression analysis that was performed to assess differences in the level of resistance between the districts. In general, although the district of Ifangni was composed of localities where An. gambiae was susceptible or suspected resistant, it is clear from this analysis that the level of resistance has not been a significant variation within the four districts [p (LR-test) = 0.22].

Table 4 Spatial variation of the resistance level of An. gambiae to deltamethrin within districts


Our study shows a widespread resistance of An. gambiae to deltamethrin in the Plateau region, southeastern Benin. Taking into account the KdTs, the effect of deltamethrin on An. gambiae mosquitoes was not uniform across the various localities. Resistance with deltamethrin was associated with relatively high kdr frequencies found in both M and S form of An. gambiae s.s.

Out of the 56 localities explored, An. gambiae was found susceptible in only two localities (Ko-Aidjèdo and Zihan). These results show a wide distribution of deltamethrin resistance as previously reported by Padonou et al.[19] in certain localities of Ouéme, a department near Plateau region. The results also confirm the rapid expansion of pyrethroid resistance in natural populations of An. gambiae in Africa [20] and particularly in Benin [2123]. However, the small numbers of mosquitoes exposed to deltamethrin in some localities did not allow accurate estimations of the mortality rates. This constitutes a major limitation for our study.

Previous studies demonstrated that malaria vector resistance to pyrethroids might be related to an extensive and massive use of LLINs [24, 25]. Insecticide molecules at the surface of LLINs might exert a lethal effect on susceptible mosquitoes, therefore selecting for resistant mosquitoes that reproduce in natural populations. In the department of Ouémé for instance, Padonou et al. [19] reported an increase in the resistance of An. gambiae to deltamethrin following a mass distribution campaign of LLINs. It is then possible that the resistance level has increased very quickly in the region of Plateau after the selective distribution campaign of LLINs in 2007. Several other factors such as the domestic use of pyrethroids [3] and water run off loaded with insecticide particles from the North of Benin where pyrethroids were massively and uncontrollably used to control cotton pests [26] could also explained the resistance of An. gambiae to deltamethrin in the localities of the region of Plateau. The insecticides particles contained in the water could exert a selection pressure on the larvae of An. gambiae[27].

Our data surprisingly reveals a low resistance of An. gambiae to deltamethrin in the district of Ifangni. Nonetheless, we did not observe any spatial variation in the level of resistance across the four districts (p = 0.22). This suggests a similar selection pressure on An. gambiae s.l across the four districts. Therefore, other reasons, still unknown to our knowledge, may explain the low levels of resistance of Anopheles population to deltamethrin in the district of Ifangni. Further studies must be undertaken to understand the real causes of the low resistance of An. gambiae in this district.

PCR analysis reveals that An. gambiae s.s was the only species of the An. gambiae s.l. complex encountered in all 16 selected localities. The absence of An. melas could be explained by the fact that the larvae were all collected from small freshwater pools. This is understandable since An. melas larvae are mainly found in brackish water ponds [28]. Similarly, An. arabiensis was not present even though it has already been reported in Central Benin [23].

Regarding the molecular forms, the relative dominance of one form over the other could be explained by the presence of specific breeding sites to one or the other molecular forms [29]. Globally, in both areas (R+ and R+++), 66.8% of the mosquitoes were of M form, 32.6% of S form and 0.6% of the hybrid M/S. This contradicts Yadouléton et al.[5] who reported the absence of the form S of An. gambiae s.s in the region of Plateau. In fact the presence of the form S in significant proportions in 2011 in that region could be associated to the rainfall pattern and the rapid infiltration of water into the soil allowing the formation of favorable temporary breeding sites for the development of form S of An. gambiae s.s.

Kdr mutation 1014 F has been found in M as well S form of An. gambiae s.s, but at variable frequencies depending on the locality. Djènontin et al.[30] reported a higher frequency of kdr mutation in the form S than in the form M of An. gambiae s.s in Ouidah-Kpomassè-Tori Bossito area between October and December 2007. The same trend has been reported by Diabaté et al.[31] and Dabiré et al.[32] in the Kou valley in Burkina-Faso and by Dabiré et al.[33] in Guinea-Bissau. However, for our study, data from both areas (R+ and R+++) revealed a similar kdr frequency between the two molecular forms (p = 0.17). This suggests that the selection pressure exerted on the two molecular forms in the natural environment did not differ significantly across the region.

We did not find the 1014S kdr mutation originally from East Africa [34]. However, previous studies have indicated that this mutation was present in Benin [23] and was expanding to the north and center of Benin in An. gambiae. It is therefore important to extend the surveillance of kdr1014S in the region of Plateau.

Although a significant difference in mortality rates was found between both areas (R+ and R+++) (p < 0.0001), no difference was observed between the frequencies of kdr gene in both areas (p = 0.13). In addition, KdT95 was higher in R+++ area than in R+ area (p < 0.05). These findings suggest the involvement of other resistance mechanisms in addition to the kdr mutation in the mosquitoes from the R+++ area.

Recent studies have also reported the involvement of certain metabolic enzymes in the resistance of malaria vectors to pyrethroids in Africa [35] and in several other regions in Benin [36, 37]. For example, an overexpression of CYP6M2 and CYP6P3 genes, involved in the metabolism of pyrethroids, has been reported in resistant populations of An. gambiae in Porto Novo [36]. Therefore, we believe that the role of metabolic resistance in the region of Plateau deserves further scrutiny.

From the results recorded from the susceptibility tests, we were able to map the distribution of the resistance of An. gambiae to deltamethrin. Such a map was necessary since it provides a picture of the availability of localities where An. gambiae was still susceptible to deltamethrin. In addition, this map could be used as an important tool to monitor the dynamics of the resistance of An. gambiae to pyrethroids. Moreover, given that our research activities were carried out in collaboration with Benin NMCP, this map should allow Benin NMCP to accordingly adapt its strategy of malaria prevention.

Given the extensive use of LLINs inside houses at this time, it is possible that highly resistant mosquitoes would tend to feed inside more than low resistant Anopheles mosquitoes. The deterrence effect of LLINs is likely to be more effective on low resistant Anopheles population. If this was verified, the likelihood for highly resistant mosquitoes to transmit malaria parasites would be higher than that of lowly resistant ones. If this assumption was true, it would confirm that vector resistance to insecticides is a major concern to the operational effectiveness of the LLINs distributed in 2011 [38].


The results of this study show a wide distribution of the resistance of malaria vectors to deltamethrin in the region of Plateau. An. gambiae was found susceptible in only two locations in the district Ifangni. Two populations of An. gambiae s.s. were encountered in the region: An. gambiae s.s form M and An. gambiae s.s form S. Both molecular forms were resistant to pyrethroids. Besides the kdr mutation, our study suggested the involvement of other resistance mechanisms of An. gambiae to pyrethroids in the region of Plateau.

Based on the resistance criteria we defined, more than 70% of the 56 prospected localities were classified as R+++ localities. This confirms the rapid expansion of the resistance phenomenon across the region. Because of this expansion, we were not able to find the eight susceptibility localities for the implementation of our impact study of the resistance of An. gambiae on the effectiveness of LLINs. Instead, we had to define R+ and R+++ areas for the implementation of our study.


  1. 1.

    Ministère de la Santé du Bénin, Programme National de Lutte contre le Paludisme: Evaluation par la méthode LQAS de la campagne intégrée d’octobre 2007 de distribution des MIILD, de l’Albendazole et de la vitamine A aux enfants de moins de cinq ans et du niveau de quelques indicateurs de suivi de la lutte contre le paludisme. 2009, Cotonou, Benin: PNLP

    Google Scholar 

  2. 2.

    Elissa N, Mouchet J, Rivière F, Meunier JY, Yao K: Resistance of Anopheles gambiae s.s. to pyrethroids in Côte d’Ivoire. Ann Soc Belge Med Trop. 1993, 73: 291-294.

    CAS  Google Scholar 

  3. 3.

    Akogbéto M, Yacoubou S: Resistance of Malaria vectors to pyrethroids used for impregnated bednets, Benin, West Africa. Bull Soc Path Exo. 1999, 92: 123-130.

    Google Scholar 

  4. 4.

    Chandre F, Manguin S, Brengues J, Dossou YJ, Darriet F, Diabate A, Carnevale P, Guillet P: Current distribution of pyrethroid resistance gene (kdr) in Anopheles gambiae complex from West Africa and further evidence for reproductive isolation of Mopti form. Parasitologia. 1999, 41: 319-322.

    CAS  Google Scholar 

  5. 5.

    Yadouleton AW, Padonou G, Asidi A, Moiroux N, Bio-Banganna S, Corbel V, N'Guessan R, Gbenou D, Yacoubou I, Gazard K, Massougbodji A, Akogbéto M: Insecticide resistance status in Anopheles gambiae in southern Benin. Malar J. 2010, 9: 83-10.1186/1475-2875-9-83.

    Article  PubMed  PubMed Central  Google Scholar 

  6. 6.

    Stump AD, Atieli FK, Vulule JM, Besansky NJ: Dynamics of the pyrethroid knockdown resistance allele in Western Kenya populations of Anopheles gambiae in response to Insecticide-treated bed net trial. Am J Trop Med Hyg. 2004, 70: 591-596.

    CAS  PubMed  Google Scholar 

  7. 7.

    Etang J, Fonjo E, Chandre F, Morlais I, Brengues C, Nwane P, Chouaibou M, Ndjemai H, Simard F: Short report: first report of knockdown mutations in the malaria vector Anopheles gambiae from Cameroon. Am J Trop Med Hyg. 2006, 74: 795-797.

    CAS  PubMed  Google Scholar 

  8. 8.

    Hargreaves K, Koekemoer L, Brooke BD, Hunt RH, Mthembu J, Coetzee M: Anopheles funestus resistant to pyrethroid insecticides in South Africa. Med Vet Entomol. 2000, 14: 181-189. 10.1046/j.1365-2915.2000.00234.x.

    CAS  Article  PubMed  Google Scholar 

  9. 9.

    N'Guessan R, Corbel V, Akogbeto M, Rowland M: Reduced efficacy of insecticide-treated nets and indoor residual spraying for malaria control in pyrethroid resistance area, Benin. Emerg Infect Dis. 2007, 13: 199-206. 10.3201/eid1302.060631.

    Article  PubMed  PubMed Central  Google Scholar 

  10. 10.

    Institut National de la Statistique Appliquée et de l’Economie: Recensement général de la population du Bénin. 2002, Cotonou, Benin: INSAE

    Google Scholar 

  11. 11.

    O'Malley C: Seven ways to a successful dipping career. Wing Beats. 1995, 6 (4): 23-24.

    Google Scholar 

  12. 12.

    WHO: Report of the informal consultation. Test procedures for insecticide resistance monitoring in malaria vectors, bio efficacy and persistence of insecticides on treated surfaces. 1998, Geneva, Switzerland: World Health Organization: Parasitic Diseases and Vector Control (PVC)/Communicable Disease Control, Prevention and Eradication (CPE)

    Google Scholar 

  13. 13.

    Scott J, Brogdon W, Collins F: Identification of single specimens of the Anopheles gambiae complex by PCR. Am J Trop Med Hyg. 1993, 49: 520-529.

    CAS  PubMed  Google Scholar 

  14. 14.

    Favia G, Della TA, Bagayoko M, Lanfrancotti A, Sagnon NF, Toure Y, Coluzzi M: Molecular identification of sympatric chromosomal forms of Anopheles gambiae and futher evidence of their reproductive isolation. Insect Mol Biol. 1997, 6: 377-383. 10.1046/j.1365-2583.1997.00189.x.

    CAS  Article  PubMed  Google Scholar 

  15. 15.

    Lynd A, Ranson H, McCall PJ, Randle NP, Black WC, Walker ED, Donnelly MJ: A simplified high-throughput method for pyrethroid Knock-down resistance (kdr) detection in Anopheles gambiae. Malar J. 2005, 4: 16-10.1186/1475-2875-4-16.

    Article  PubMed  PubMed Central  Google Scholar 

  16. 16.

    Dobson AJ: An Introduction to Generalized Linear Models, Second Edition. 2001, London: Chapman & Hall/CRC

    Google Scholar 

  17. 17.

    Chambers JM, Hastie TJ: Linear models. Chapter 4 of Statistical Models in S. 1992, Pacific Grove, California: Wadsworth & Brooks/Cole

    Google Scholar 

  18. 18.

    R Development Core Team: A language and environment for statistical computing. 2011, Vienna, Austria: R Foundation for Statistical Computing, ISBN ISBN 3-900051-07-

    Google Scholar 

  19. 19.

    Padonou G, Sezonlin M, Ossé R, Aizoun N, Oké-Agbo F, Oussou O, Gbédjissi G, Akogbéto M: impact of three years of large scale Indoor Residual Spraying (IRS) and Insecticide Treated Nets (ITNs) interventions on insecticide resistance in Anopheles gambiae s.l. in Benin. Parasit Vectors. 2012, 5: 72-10.1186/1756-3305-5-72.

    Article  PubMed  PubMed Central  Google Scholar 

  20. 20.

    Ranson H, N’Guessan R, Lines J, Moiroux N, Nkuni Z, Corbel V: Pyrethroid resistance in African anopheline mosquitoes: what are the implications for malaria control?. Trends Parasitol. 2011, 27 (2): 91-98. 10.1016/

    CAS  Article  PubMed  Google Scholar 

  21. 21.

    Corbel V, N’Guessan R, Brengues C, Chandre F, Djogbenou L, Martin T, Akogbeto M, Hougard JM, Rowland M: Multiple insecticide resistance mechanisms in Anopheles gambiae and Culex quinquefasciatus from Benin, West Africa. Acta Trop. 2007, 101: 207-216. 10.1016/j.actatropica.2007.01.005.

    CAS  Article  PubMed  Google Scholar 

  22. 22.

    Djogbenou L, Noel V, Agnew P: Costs of insensitive acetylcholinesterase insecticide resistance for the malaria vector Anopheles gambiae homozygous for the G119S mutation. Malar J. 2010, 9: 12-10.1186/1475-2875-9-12.

    Article  PubMed  PubMed Central  Google Scholar 

  23. 23.

    Djegbe I, Boussari O, Sidick A, Thibaud M, Ranson H, Chandre F, Akogbeto M, Corbel V: Dynamics of insecticide resistance in malaria vectors in Benin: first evidence of the presence of L1014S kdr mutation in Anopheles gambiae from West Africa. Malar J. 2011, 10: 261-10.1186/1475-2875-10-261.

    Article  PubMed  PubMed Central  Google Scholar 

  24. 24.

    Protopopoff N, Verhaeghen K, Van Bortel W, Roelants P, Marcotty T, Baza D, D’Alessandro U, Coosemans M: A high increase in kdr in Anopheles gambiae is associated with an intensive vector control intervention in Burundi highlands. Trop Med Int Health. 2008, 13: 1479-1487. 10.1111/j.1365-3156.2008.02164.x.

    Article  PubMed  Google Scholar 

  25. 25.

    Czeher C, Labbo R, Arzika I, Duchemin JB: Evidence of increasing Leu-Phe knockdown resistance mutation in Anopheles gambiae from Niger following a nationwide long-lasting insecticide-treated nets implementation. Malar J. 2008, 7: 189-10.1186/1475-2875-7-189.

    Article  PubMed  PubMed Central  Google Scholar 

  26. 26.

    Yadouleton A, Thibaud M, Padonou G, Chandre F, Asidi A, Djogbenou L, Dabiré R, Aïkpon R, Boko M, Glitho I, Akogbeto M: Cotton pest management practices and the selection of pyrethroid resistance in Anopheles gambiae population in Northern Benin. Parasit & Vect. 2011, 4: 60-10.1186/1756-3305-4-60.

    Article  Google Scholar 

  27. 27.

    Yadouleton AW, Asidi A, Djouaka RF, Braïma J, Agossou CD, Akogbeto MC: Development of vegetable farming: a cause of the emergence of insecticide resistance in populations of Anopheles gambiae in urban areas of Benin. Malar J. 2009, 8: 103-10.1186/1475-2875-8-103.

    Article  PubMed  PubMed Central  Google Scholar 

  28. 28.

    Akogbéto M, Romano R: Infectivité d'Anopheles melas vis-à-vis du Plasmodium falciparum dans le milieu côtier lagunaire du Bénin. Bull Soc Pathol Exot Filiales. 1999, 92: 57-61.

    Google Scholar 

  29. 29.

    Costantini C, Ayala D, Guelbeogo WM, Pombi M, Some CY, Bassole IH, Ose K, Fotsing JM, Sagnon N, Fontenille D, Besansky NJ, Simard F: Living at the edge: biogeographic patterns of habitat segregation conform to speciation by niche expansion in Anopheles gambiae. BMC Ecol. 2009, 9: 16-10.1186/1472-6785-9-16.

    Article  PubMed  PubMed Central  Google Scholar 

  30. 30.

    Djènontin A, Bio-Bangana S, Moiroux N, Henry MC, Boussari O, Chabi J, Ossè R, Koudénoukpo S, Corbel V, Akogbéto M, Chandre F: Culicidae diversity, malaria transmission and insecticide resistance alleles in malaria vectors in Ouidah-Kpomasse-Tori district from Benin (West Africa): a pre-intervention study. Parasites & Vect. 2010, 3: 83-10.1186/1756-3305-3-83.

    Article  Google Scholar 

  31. 31.

    Diabaté A, Baldet T, Chandre F, Akogbéto M, Guiguendé TR, Darriet F, Brengues C, Guillet P, Hemingway J, Small GJ, Hougard JM: The role of agricultural use of insecticides in resistance to pyrethroids in Anopheles gambiae s.l. in Burkina Faso. Am J Trop Med Hyg. 2002, 67 (6): 617-622.

    PubMed  Google Scholar 

  32. 32.

    Dabiré KR, Diabaté A, Djogbenou L, Ouari A, N'Guessan R, Ouédraogo JB, Hougard JM, Chandre F, Baldet T: Dynamics of multiple insecticide resistance in the malaria vector Anopheles gambiae in a rice growing area in South-Western Burkina Faso. Malar J. 2008, 7: 188-10.1186/1475-2875-7-188.

    Article  PubMed  PubMed Central  Google Scholar 

  33. 33.

    Dabiré KR, Diabaté A, Agostinho F, Alves F, Manga L, Faye O, Baldet T: Distribution of the members of Anopheles gambiae and pyrethroid knock-down resistance gene (kdr) in Guinea-Bissau, West Africa. Bull Soc Pathol Exot. 2008b, 2 (101): 119-123.

    Google Scholar 

  34. 34.

    Ranson H, Jensen B, Vulule JM, Wang X, Hemingway J, Collins FH: Identification of a point mutation in the voltage-gated sodium channel gene of Kenyan Anopheles gambiae associated with resistance to DDT and pyrethroids. Insect Mol Biol. 2000, 9: 491-497. 10.1046/j.1365-2583.2000.00209.x.

    CAS  Article  PubMed  Google Scholar 

  35. 35.

    Müller P, Chouaïbou M, Pignatelli P, Etang J, Walker ED, Donnelly MJ, Simard F, Ranson H: Pyrethroid tolerance is associated with elevated expression of antioxidants and agricultural practice in Anopheles arabiensis sampled from an area of cotton fields in Northern Cameroon. Mol Ecol. 2008, 17: 1145-1155.

    Article  PubMed  Google Scholar 

  36. 36.

    Djouaka RF, Bakare AA, Coulibaly ON, Akogbeto MC, Ranson H, Hemingway J, Strode C: Expression of the cytochrome P450s, CYP6P3 and CYP6M2 are significantly elevated in multiple pyrethroid resistant populations of Anopheles gambiae s.s. from Southern Benin and Nigeria. BMC Genomics. 2008, 9: 538-10.1186/1471-2164-9-538.

    Article  PubMed  PubMed Central  Google Scholar 

  37. 37.

    Djouaka R, Irving H, Tukur Z, Wondji SC: Exploring Mechanisms of Multiple Insecticide Resistance in a Population of the Malaria Vector Anopheles funestus in Benin. PLos one. 2011, 6: e27760-10.1371/journal.pone.0027760.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  38. 38.

    Tokponnon FT, Aholoukpe B, Denon EY, Gnanguenon V, Bokossa A, N’guessan R, Oke M, Gazard D, Akogbeto MC: Evaluation of the coverage and effective use rate of long-lasting insecticidal nets after nation-wide scale up of their distribution in Benin. Parasites & Vectors. 2013, 6: 265-10.1186/1756-3305-6-265.

    Article  Google Scholar 

Pre-publication history

  1. The pre-publication history for this paper can be accessed here:

Download references


We are grateful to the Bill & Melinda GATES Foundation which supported financially this study. Arthur SOVI obtained financial support for his doctoral training from Ministry of the Higher Education and of Scientific Research.

Author information



Corresponding author

Correspondence to Arthur Sovi.

Additional information

Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

AS, ID, AM, MA and VC have participated in the design of the study. ID, LS, AS and FT carried out the field activities and the laboratory analyses. VG has contributed to the mapping. AS and MA drafted the manuscript. FOA contributed to the statistical analysis. MO, RA, AA, ID, AM, FT and VC critically revised the manuscript for intellectual content. All authors read and approved the final manuscript.

Authors’ original submitted files for images

Below are the links to the authors’ original submitted files for images.

Authors’ original file for figure 1

Authors’ original file for figure 2

Rights and permissions

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited.

Reprints and Permissions

About this article

Cite this article

Sovi, A., Djègbè, I., Soumanou, L. et al. Microdistribution of the resistance of malaria vectors to deltamethrin in the region of Plateau (southeastern Benin) in preparation for an assessment of the impact of resistance on the effectiveness of Long Lasting Insecticidal Nets (LLINs). BMC Infect Dis 14, 103 (2014).

Download citation


  • An. gambiae s.s
  • Deltamethrin
  • Insecticide resistance
  • kdr mutation
  • Plateau
  • Benin