Background
Despite much work in basic and applied research, malaria remains, 120 years after the identification of
Plasmodium, a major health issue, particularly in Africa[
1‐
3]. Vector control is an important component of malaria control, and insecticide-treated nets (ITNs) and indoor residual spraying (IRS) are the front-line tools[
4,
5]. Currently, pyrethroids are the only class of insecticides approved for treating bed nets because of their effectiveness, with a strong excito-repellent effect on mosquitoes, and their lower mammalian toxicity than organochlorine, carbamate and organophosphate compounds[
6]. Unfortunately, a gene-conferring resistance (knock-down resistance,
kdr) to pyrethroids and cross-resistance to DDT, first reported in
Anopheles gambiae s.s. populations in Côte d’Ivoire[
7], has spread, mainly in West Africa.
kdr, resulting from a single point mutation was probably due first to intensive use of DDT and then pyrethroids for crop protection, particularly in cotton-growing areas and at lower rates for domestic protection[
8]. The efficacy of ITNs for preventing malaria is well established and they are known to provide substantial protection to both individuals and communities using them[
9]. Several studies have shown a direct relationship between the rapid increase in the frequency of
kdr and widespread use of bed nets, with a rebound of malaria as a direct consequence[
10‐
12].
In West Africa, the principal malaria vectors are members of the
An. gambiae complex[
13]. Over the past 15 years, several research teams have agreed on a molecular approach to speciate
An. gambiae s.s. Five sympatric and syntopic chromosomal forms of
An. gambiae s.s. have been described and designated with non-Linnean nomenclature as bamako, bissau, forest, mopti and savanna[
13‐
15]. The pattern of molecular markers revealed the existence of two genetic variants, referred to as molecular M and S forms[
16‐
18]. No association was found between speciation and chromosomal constitution, which seems to be involved in ecotypic adaptation. Although chromosome inversions and even chromosome-2 karyotypes are shared between molecular forms, there is a significant lack of gene flow between the M and S forms because of the absence or rarity of hybrid rDNA genotypes[
14,
19,
20], as seen in geographically comprehensive surveys in Africa[
17,
18,
21‐
23]. Whatever the geographical region, however, gene flow between the M and S forms is very limited, resulting in the current speciation. On the basis of the investigation of Reidenbach
et al.[
24] on the genomes of paired population samples of M and S from Burkina Faso, Cameroon and Mali, Coetzee
et al.[
25] assigned the name
An. gambiae to the S molecular form and
Anopheles coluzzii to the M form.
Plasmodium species, the agents of malaria, are exclusively transmitted by
Anopheles mosquitoes. The susceptibility of these mosquitoes to
Plasmodium infection is related to their ability to allow parasite development from gamete fertilization through to sporozoite production. During sporogonic development in the mosquito midgut lumen, midgut epithelium and haemolymph, the parasites face a hostile environment, leading to a considerable reduction in the number that reach the oocyst stage[
26‐
28]. Mosquito susceptibility is the result of evolutionary processes in both the parasite and the vector, which maintain susceptible and refractory alleles in natural populations. Susceptibility is highly variable, ranging from total refractoriness to high receptiveness depending on both parasite and vector status and their interactions[
29]. In the context of generalization of insecticide resistance, the hypothesis that insecticide resistance has a positive impact on the capacity of mosquitoes to transmit malaria constitutes a hindrance for malaria elimination[
30].
The aim of this study was to test whether the
kdr mutation in wild
An. gambiae affects its susceptibility to
Plasmodium infection. As populations of
An. coluzzii (previously molecular form M) and
An. gambiae S molecular form have been shown to have different susceptibilities to
Plasmodium[
31]. These studies investigated these two populations to assess whether the genotype at the
kdr locus is responsible for different susceptibility to
Plasmodium falciparum infection.
Methods
Mosquitoes
Anopheles gambiae s.s. (molecular form S) and
An. coluzzii larvae were collected at ten breeding sites in the village of Dielmo[
32] (13°43’N, 16°24’W) between August and September 2012. Larvae were raised until emergence; adults were fed on rabbit blood, and 200 females (F0) were randomly selected (20 from each collection site). Each F0 female was allowed to lay its eggs individually before it was genotyped for species and molecular form by PCR-RFLP[
14].
The frequency of
kdr was determined before (in the F0 population) and after infection (in F4 population) but not in the rearing females (F1 to F3 populations), for which only the molecular form was determined. Previous studies have shown that the
kdr frequency in
Anopheles populations in Dielmo can reach 47%[
12,
33] and may increase significantly after inter-generational crosses.
The offspring of F0 females of the same taxa were then pooled and bred under the same conditions. Larvae were fed Tetramin fish food. Pupae were collected and placed in 10-L plastic buckets, which were covered with mosquito gauze with a cotton sleeve for introducing 10% glucose on filter paper. Adults were maintained at 28°C, 80% relative humidity and 12:12 hr light:dark cycle. In order to increase the proportion of mosquitoes accustomed to feeding on membrane, aggressive F1, F2 and F3 females were selected.
F4 females used for infection were genotyped, and species and molecular forms were confirmed by PCR RFLP[
14]. L1014F and L1014S
kdr mutations (hereafter referred to as
kdr-w and
kdr-e, respectively) were detected by PCR[
34,
35].
Gametocyte carriers
Gametocyte carriers were detected in cross-sectional surveys in villages and schools during the high transmission period (October–November) in Anene (14°47'N, 16°55'W Thies region). Finger-prick blood was taken from each volunteer. Thick blood smears were stained with 10% Giemsa and examined microscopically under a (100×) oil immersion lens for the presence of sexual and asexual parasites. Parasite density was estimated by counting against 1,000 white blood cells and converted to numbers of parasites per microlitre by assuming a standard white blood cell count of 8,000/μL. Symptomatic and non-symptomatic individuals with asexual parasites were treated with artemisinin-based combination therapy according to national recommendations. The inclusion criteria for gametocyte carriers were: age over ten years, a P. falciparum gametocyte density over 20/mm3 of blood and no anti-malarial treatment in the previous month. Each gametocyte carrier provided 6 mL of blood drawn into a heparinized vacutainer tube, and each was given an insecticide-impregnated bed net in compensation.
Ethical approval
Experiments involving human subjects, population screening and collection of blood samples were conducted in full accordance with ethical principles. Free and informed consent of the donors or their guardians was obtained at all times, and community consent was obtained beforehand. Regular audits were conducted by the National Ethics Committee of Senegal and ad hoc committees of the Ministry of Health. This study was approved by the Ethical National Comittee of Senegal.
Direct membrane feeding assay
Experimental infections were carried out in the direct membrane feeding assay as described by Mulder
et al.[
36]. Blood was rapidly distributed to two pools of three-day-old females of each taxon through a serially connected, warm water (37°C), jacketed membrane feeder, and the mosquitoes were allowed to feed for 15 min; then, partially fed and non-fed specimens were removed. Two batches of 50 mosquitoes of each taxon were randomly selected from among fed females and maintained in the insectary on a 10% sucrose diet for further analyses. The first batch of mosquitoes was dissected seven days later, and their midguts were stained with 3% mercurochrome in PBS and examined under a light microscope (40× objective) for detection and quantification of oocysts. The presence or absence of oocysts (status of infection by oocyst) and their number (intensity of infection) were recorded. The heads and thoraxes of the second batch of mosquitoes were used 14 days after feeding to evaluate the presence of the circumsporozoite protein of
P. falciparum in an enzyme-linked immunosorbent assay (ELISA)[
37]. A mosquito was considered to have sporozoites when the optical density was >0.6, which is that of the control strain. The status of infection by sporozoites and the optical density (proxy for the intensity of infection) were recorded. PCR RFLP[
14] was performed on the carcasses of dissected mosquitoes, and the identity of the molecular forms was confirmed.
Experiments were repeated five times on different days with different samples of gametocyte-containing blood. Gametocytaemia was 78, 92, 113, 136, and 218 gametocytes/μL in the five assays.
Statistical analysis
Susceptibility to oocysts and sporozoites were assessed separately. The first batch of mosquitoes was used to study infection by oocysts (N = 445, 358 infected), while the second batch was used to study infection by sporozoites (N = 303, 244 infected).
Susceptibility to Plasmodium was measured in both datasets with two response variables. The status of infection (0/1) was the variable of main interest, while the density of parasites in infected individuals (number of oocysts for the first batch of mosquitoes and absorbance as a proxy for the second batch) was used to perform a secondary, exploratory analysis.
The fixed effects of strain (An. coluzzii and An. gambiae S form), genotype at the kdr locus (RR, RS and SS) and the random effect of assay (a five-level categorical control variable accounting for the day of dissection and the donor) were tested.
Statistical analyses were performed with R software v3.0.2 . The overall method was the same for all four analyses (i.e., of each of the two responses variables in each of the two datasets). First, a model containing all explanatory variables and the strain-genotype interaction was adjusted with a linear mixed-effect model. The glm (fixed-effect generalized linear model) and glmer (mixed generalized linear model) procedures with binomial error distribution were used to analyse the status of infection, the glm and glmer procedures with negative binomial error distribution to analyse oocyst numbers in infected individuals, and the lm (fixed-effect linear model) and lmer (mixed linear model) procedures with Gaussian error distribution to analyse sporozoite density in infected individuals (because absorbance exhibited a Gaussian distribution). Secondly, the significance of the assay effect was assessed. Fixed-effect and mixed models where compared with the Akaike information criterion (AIC): the model with the lowest AIC was chosen. Thirdly, the best model was selected step by step with the drop1 procedure, which performs a Chi-square test for linear models and a likelihood ratio test (approximating a Chi-square distribution) for generalized linear models. If a variable was not significant, it was removed from the model. A p value of ≤0.05 was considered significant.
To analyse infection rates, odds ratios (ORs) were obtained from the model estimates, which are logarithms of ORs (OR = expestimates), and their 95% confidence intervals (CIs) were computed with the confint procedure. For oocyst density analysis, the number of oocysts in a mosquito when infection occurred was calculated from the model estimates. For sporozoite density analysis, estimates are meaningless, as the absorbance is not expected to vary linearly with sporozoite density, therefore the focus will be put on variables significativity and the trend given by these estimates.
Pairwise comparisons were then done to determine differences with the difflsmeans procedure (lmerTest library, applicable to mixed-effect models), the wald.test procedure (aod library, applicable to glm) and individual Welsh-corrected t-tests with the Bonferonni correction (linear model).
Discussion
This study is the first to evaluate the effects of the
kdr resistance mutation on the susceptibility of a natural
Anopheles gambiae populations to
Plasmodium falciparum. These results showed no difference in the susceptibility of the S form of
An. gambiae and
An. coluzzii, corroborating those in Burkina Faso by Gneme
et al.[
38], who found equivalent susceptibility in the S form of
An. gambiae, An. coluzzii and
Anopheles arabiensis. In this study, however, mosquitoes with the RR genotype were more susceptible than RS mosquitoes, which in turn were more susceptible than mosquitoes without the
kdr resistance gene, confirming the results of Alout
et al. in Burkina Faso[
39].
Results on the intensity of infection show differences between species and between genotype with a stronger effect of genotype. Species differences have already been reported[
31]. The results show that mosquitoes with a resistant allele at the
kdr locus (RR and RS genotypes) are more susceptible to parasite infection than those with the SS genotype. Alout
et al.[
39] reported conflicting results for infection rates and infection intensity, and found an increased rate of
kdr mutation but a lower infection intensity in resistant than in susceptible mosquitoes. Methodological bias may account for this contradiction; for example, maintaining a strain for several generations (‘intra-generational fitness’)[
40] and then making genetic changes by introgression might have played a role in the drastic decline observed by Alout
et al.[
39]. Furthermore, conducting a study on just one species of the
An. gambiae complex is restrictive, as most of the species that transmit malaria belong to complexes[
29,
41]. In addition, several studies have shown that various constraints (physical, physiological, immunological) during development of the parasite in
Anopheles may significantly decrease parasite density. Such decreases were observed at several levels. While a drastic decline in parasite production is observed, especially between the parasitic gametocyte and oocyst stages, it may also occur, under certain conditions, between the oocyst and sporozoite stages[
27,
28,
42].
Other resistance mechanisms than
kdr resistance[
11], such as biochemical resistance, might directly or indirectly affect activation of the immune system of mosquitoes, leading to wide variations in the parasite during its development[
43]. Several genes may be implicated in the anti-
Plasmodium immune response, including defensin and cecropin[
44,
45]. A combined effect of these genes and resistance genes on the immune response might modify the effect of resistance genes altought it has not yet been demonstrated[
46]. More investigations are therefore required to test this hypothesis.
It might be assumed that the presence of a resistant allele at the kdr locus has a significant effect on anopheline longevity, resulting in a higher rate of infection in populations that carry the gene. In this study, however, mosquitoes had the opportunity to be infected only once, so that the rate of infection is not linked to longevity but to lower immune competence. This could directly affect vector control, because the risk for malaria transmission could be greater than before introduction of bed nets for people not using bed nets, if the nets are removed, or if they lose enough of their effectiveness. Nevertheless, if the R allele decreases immune refractoriness to Plasmodium, it might also reduce that to other pathogens infecting Anopheles. Should this be confirmed, use of fungi and other parasites that infect and kill Anopheles could become the tool of choice in malaria control.
Acknowledgements
We thank the villagers of Anène for their continuous support to the project. We acknowledge Moussa Gueye the supervisor of the burg of Anène, Ndeye Maimouna Diedhiou and Dino Masutti for they logistical assistance. Many thanks to Dr Mirdad Kazanji for her support. Dr Catherine Bourgouin provided very useful comments on an earlier draft of the paper.
This work was supported by the NGO Malaria Dino Alliance Italian, the French Research Institute for Development (IRD) and Afrique One funded by the Wellcome Trust. The funders had no role in study design, data collocation and analysis, decision to publish, or preparation of the manuscript. MON was supported by a G4 Pasteur Bangui (CAR) Fellowship provided by Institut Pasteur International Network.
Competing interests
The authors declare that they have no competing interests for this study.
Authors’ contributions
MON and CB planned the study design. MON, SMD and AG performed field and laboratory work. AC analysed the data with the contribution of VR. MON and AC drafted the manuscript with the contribution of JFT. VR and JFT provided scientific supervision of the study. All authors approved the final manuscript.