Skip to main content
Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

  • Loading metrics

Behavioral Cost & Overdominance in Anopheles gambiae

  • Malal M. Diop,

    Affiliations MiVEGEC (UM1-UM2-CNRS 5290-IRD 224), Institut de Recherche pour le Développement (IRD), Cotonou, Bénin, Centre de Recherche Entomologique de Cotonou, Cotonou, Bénin

  • Nicolas Moiroux,

    Affiliation MiVEGEC (UM1-UM2-CNRS 5290-IRD 224), Institut de Recherche pour le Développement (IRD), Montpellier, France

  • Fabrice Chandre,

    Affiliation MiVEGEC (UM1-UM2-CNRS 5290-IRD 224), Institut de Recherche pour le Développement (IRD), Montpellier, France

  • Hadrien Martin-Herrou,

    Affiliation MiVEGEC (UM1-UM2-CNRS 5290-IRD 224), Institut de Recherche pour le Développement (IRD), Montpellier, France

  • Pascal Milesi,

    Affiliation ISEM (CNRS 5554-UM2), Montpellier, France

  • Olayidé Boussari,

    Affiliations MiVEGEC (UM1-UM2-CNRS 5290-IRD 224), Institut de Recherche pour le Développement (IRD), Cotonou, Bénin, Centre de Recherche Entomologique de Cotonou, Cotonou, Bénin

  • Angélique Porciani,

    Affiliations MiVEGEC (UM1-UM2-CNRS 5290-IRD 224), Institut de Recherche pour le Développement (IRD), Cotonou, Bénin, Centre de Recherche Entomologique de Cotonou, Cotonou, Bénin

  • Stéphane Duchon,

    Affiliation MiVEGEC (UM1-UM2-CNRS 5290-IRD 224), Institut de Recherche pour le Développement (IRD), Montpellier, France

  • Pierrick Labbé,

    Affiliation ISEM (CNRS 5554-UM2), Montpellier, France

  • Cédric Pennetier

    cedric.pennetier@ird.fr

    Affiliations MiVEGEC (UM1-UM2-CNRS 5290-IRD 224), Institut de Recherche pour le Développement (IRD), Cotonou, Bénin, Centre de Recherche Entomologique de Cotonou, Cotonou, Bénin

Abstract

In response to the widespread use of control strategies such as Insecticide Treated Nets (ITN), Anopheles mosquitoes have evolved various resistance mechanisms. Kdr is a mutation that provides physiological resistance to the pyrethroid insecticides family (PYR). In the present study, we investigated the effect of the Kdr mutation on the ability of female An. gambiae to locate and penetrate a 1cm-diameter hole in a piece of netting, either treated with insecticide or untreated, to reach a bait in a wind tunnel. Kdr homozygous, PYR-resistant mosquitoes were the least efficient at penetrating an untreated damaged net, with about 51% [39-63] success rate compared to 80% [70-90] and 78% [65-91] for homozygous susceptible and heterozygous respectively. This reduced efficiency, likely due to reduced host-seeking activity, as revealed by mosquito video-tracking, is evidence of a recessive behavioral cost of the mutation. Kdr heterozygous mosquitoes were the most efficient at penetrating nets treated with PYR insecticide, thus providing evidence for overdominance, the rarely-described case of heterozygote advantage conveyed by a single locus. The study also highlights the remarkable capacity of female mosquitoes, whether PYR-resistant or not, to locate holes in bed-nets.

Introduction

In an attempt to separate the hungry malaria mosquito female from its human host, a physical and chemical barrier was introduced: the PYR ITN [1,2]. The on-going extensive distribution of ITNs aims to reach universal coverage in endemic countries [2]. Because ITNs are so effective at killing mosquitoes, and because ITNs can only be treated with PYRs, specific responses have evolved in mosquito populations to confer either behavioral or physiological insecticide resistance to these chemicals [37]. The most widespread physiological PYR-resistance mechanism among mosquito vectors is the target-site L1014F mutation of the voltage-gated sodium channel gene, named Kdr mutation. The mutated form decreases the affinity between the PYR molecule and the voltage-gated sodium channel, leading to a resistance phenotype that allows mosquito to survive contact with ITN [6,8]. The impact of this mutation on the host-seeking behavior of mosquito vectors has been largely overlooked. One especially important component of host-seeking behavior, particularly in the context of widespread ITN use, is the mosquitoes’ ability to locate and penetrate weaknesses- i.e., holes- in damaged bed nets in order to reach the human host and be able to reproduce.

We thus investigated how genotype at the Kdr L1014F locus (hereafter indicated as SS = susceptible homozygotes; RR = resistant homozygotes; RS = heterozygotes) affected the ability of An. gambiae s.s. females to find a hole in a piece of net (either untreated or treated). Females sharing the same genetic background with only the Kdr locus altered [9] were individually video-tracked in a wind tunnel containing an attractive odor plume orientating the mosquitoes toward a guinea pig bait. The wind tunnel consisted of two chambers separated by a holed net (S1 Fig.). Trials were recorded as successful if the mosquito passed through the hole from the first chamber (C1) to the second chamber (C2) within a 60 min assay.

Results

A first, surprising result was that almost two-thirds of mosquitoes found the 1cm diameter hole that would have allowed them to reach their blood meal (overall success rate = 62.6%, N = 376/601, binomial 95% confidence interval CI [58.6–66.3]) in a mean time of 666.0s [588.8–742.5] (S2 Fig. panel F), regardless of the net treatment or the genotype. However, the Kdr genotype had a major effect on this success.

Cost of the homozygous resistant genotype for the Kdr locus

With an untreated holed net (UTN), the proportion of successful mosquitoes was significantly higher for both SS and RS genotypes compared to RR (binomial model odds ratios: ORSS-RR = 3.75 [1.74–8.44], p = 0.0009; ORRS-RR = 3.23 [1.36–8.23], p = 0.0102), while not differing significantly from each other (ORRS-SS = 1.16 [0.43–3.01], p = 0.75) (Fig. 1A, left panel). The lower performance of the mutant homozygotes in the untreated net environment thus revealed a recessive behavioral cost of the Kdr mutation.

thumbnail
Fig 1. A- Proportions of Anopheles females of each Kdr genotype successfully penetrating a 1cm hole in (i) an untreated net, (ii) a permethrin-treated Olyset Net, and (iii) a deltamethrin-treated PermaNet 2.0.

B- Proportions of knocked-down (KD) females among the failed when faced with ITN (permethrin-treated Olyset Net on the left, deltamethrin-treated PermaNet 2.0 on the right), for each Kdr genotype (untreated net is not presented since no mosquito from any strain presented the KD phenotype during those exposures). The number of mosquitoes tested for each genotype (SS, RS and RR: homozygous susceptible, heterozygous, and homozygous resistant for the Kdr mutation, respectively) is indicated. Error bars represent the 95% binomial confidence intervals for the different proportions. Significance of the different tests is indicated (NS p>0.05, * p<0.05, ** p<0.01, *** p<0.001).

https://doi.org/10.1371/journal.pone.0121755.g001

Analysis of behavioral traits from video tracks with untreated nets indicated that An. gambiae mosquitoes with the RR genotype spent less time flying than those with SS (Kruskal-Wallis rank sum test, p = 0.0016; Dunn’s post tests, p<0.01), and had fewer rates of contact with the holed net compared to both the SS and RS genotypes (Poisson model Contact Rate Ratio: CRRRR-SS = 0.261 [0.245–0.278], p<0.0001 and CRRRR-RS = 0.187 [0.176–0.2], p<0.0001) (S2 Fig.). This suggests less efficient host-seeking behavior of RR mosquitoes relative to the SS and RS types. RR mosquitoes mean flight speed was higher than that of either SS or RS mosquitoes (Kruskal-Wallis rank sum test, p<0.0001; Dunn’s post tests, p<0.01) (S2 Fig.). Mosquito flight speed has been shown to be negatively correlated with attractive odor concentration [1012], so that higher flight speed might be an indication of less efficient odor detection in RR compared with RS and SS mosquitoes. SS and RS mosquitoes showed similar rates of success in penetrating the net, despite significant differences in the various behavioral traits (S2 Fig. panels A and C).

Overdominance of Kdr mutation under PYR pressure

The behavior of the three Kdr different genotypes was then analyzed in presence of the two long lasting ITN recommended by the World Health Organization. One type (Olyset Net) has 1000mg/m² permethrin incorporated into it, whilst the other (PermaNet 2.0) is coated with 55mg/m² deltamethrin.

Faced with the PermaNet 2.0 net, heterozygote mosquitoes tended to be more successful in finding the hole than either of the homozygotes (Fig. 1A, right panel), although these differences were not statistically significant (ORRS-SS = 1.97 [0.92–4.43], p = 0.088; ORRS-RR = 1.52 [0.68–3.49], p = 0.315). This trend was reinforced (Fig. 1A, centre panel) and differences were significant when mosquitoes were faced with the Olyset Net (binomial regression, ORRS-SS = 2.85 [1.36, 6.24], p = 0.007; ORRS-RR = 2.47 [1.17–5.43], p = 0.02). Heterozygote mosquitoes were better able to penetrate the net than homozygous susceptible or resistant mosquitoes, regardless the net brand (when pooling data gathered with Olyset and PermaNet 2.0; ORRS-SS = 2.13 [1.30, 3.49], p = 0.0027; ORRS-RR = 2.42 [1.47, 4], p = 0.0005), supporting the heterozygote advantage hypothesis. There was no significant difference between homozygous susceptible or resistant mosquitoes regardless the ITN brand (Olyset: ORRR-SS = 1.15 [0.63 2.11], p = 0.64; PermaNet 2.0: ORRR-SS = 1.30 [0.70 2.45], p = 0.41) (Fig. 1A, center and right panels).

To further quantify this heterozygote advantage, we computed the proportion of success pi as a proxy of the relative fitness (wi) of each genotype i for each treatment, as wi = pi/pSS (thus wSS = 1, as reference). Moreover, by decomposing the relative fitness as wSS = 1, wRS = 1+hs and wRR = 1+s, we were able to estimate selection (s) and dominance (h) coefficients in the different treatments. We confirmed that in the absence of PYR the R allele is deleterious (s = -0.35, 95% confidence interval [-0.18, -0.49]), and that this cost is recessive (h = 0.09 [0.01, 0.68]). However, R is advantageous in an environment with ITNs (s = 0.07 [0.001, 0.43] and 0.11 [0.001, 0.40] for Olyset and PermaNet 2.0, respectively). Furthermore, in ITN trials, we always found a dominance coefficient h > 1, confirming the observed heterozygote advantage, although quantifying this parameter precisely is more difficult: h = 6.72 [1.33, >100] and 2.42 [0.001, >100], for Olyset and PermaNet 2.0, respectively.

The better performances of the heterozygotes during the experiments are explained by two antagonistic forces of selection:

  1. Benefit of R allele in presence of insecticide
    SS females failed to find the hole because of the fast-acting knock-down (KD) effect of the PYR insecticides: 97.7% [85.3–99.9] (43/44) and 97.4% [83.2–99.9] (37/38) of the failed SS mosquitoes were KD with Olyset Net and PermaNet 2.0 respectively (Fig. 1B, multinomial model ORPermaNet-Olyset = 0.861 [0.052–14.269], p = 0.917). By contrast, almost all of the unsuccessful RR mosquitoes had resisted the KD effect (KD 5.1% [0–18.6] (2/39) and 7.4% [0.04–25.7] (2/27) with Olyset Net and PermaNet 2.0, respectively) (Fig. 1B, ORPermaNet-Olyset = 1.483 [0.196–11.242], p = 0.703). For heterozygotes, the result depended on the net: less than half of the failed RS were KD with permethrin-treated Olyset Net (46.2% [17.7–73.9], 6/13), while they were more affected by the deltamethrin-treated PermaNet 2.0 (91.7% [56.1–99.6], 11/12) (Fig. 1B, ORPermaNet-Olyset = 12.911 [1.264–131.878], p = 0.031). This difference may be due to the difference in insecticide molecule, concentration and/or availability on the net fiber.
  2. Cost of RR in absence of insecticide.
    Because of the cost carried by RR mosquitoes, SS and RS mosquitoes showed higher success rates in penetrating a 1cm hole in an untreated net (Fig. 1A). Moreover, the performance of RS and RR mosquitoes in finding the hole were not altered by the insecticides (binomial model, p>0.05), while SS mosquitoes' success rate was indeed reduced by 30% [14.5–45.5] and 21.8% [6.8–36.7] with Olyset Net and PermaNet, respectively (binomial model, ORUTN-Olyset = 4 [1.96–8.61], p<0.001; ORUTN-PermaNet = 2.87 [1.4–6.16], p = 0.005) (Fig. 1A).

Overall, the balance between the two antagonistic selection pressures, a negative influence of Kdr mutation on individuals’ ability to find the hole on one hand, and the benefit for resistance to KD on the other, was most favorable to heterozygotes, providing evidence for an overdominant effect at the Kdr locus on this behavioral trait.

Discussion

Insecticide resistance mechanisms are adaptations selected by challenging environmental conditions. The Kdr mutation is an example of a specific amino acid change at a unique position of the voltage-gated sodium channel that confers resistance to organochlorine and PYR insecticide classes in a major malaria vector in Africa, Anopheles gambiae s.l. [13]. PYR pressure can affect the mosquitoes at different stages of their life cycle: larva (contaminated breeding sites) and adult, both during resting (insecticide residual spraying) and host-seeking (ITN) periods. At these different stages, the Kdr mutation can allow survival, and thus reproduction, in presence of insecticides (selective advantages). However, it also imposes deleterious side-effects (selective costs), revealed in absence of insecticides. Conventional tests used to evaluate the insecticide effects on susceptible and resistant mosquitoes rely on forced and prolonged contact of the mosquitoes with the insecticide [14]. The results of these tests summarize the selection processes occurring at both the larval and adult stages of the mosquito's life and are meant to reflect the levels of resistance in the local mosquito population. Because of the higher resistance of the RR genotype, and if the mutation induces no fitness cost, prolonged insecticide selection in a population should lead to fixation of the Kdr mutation beyond the treated population [15]. However, as pointed out by Lynd et al. [16], there is a serious lack of evidence of Kdr mutation fixation in wild Anopheles populations, even in areas with high insecticide pressure (either from agriculture or from public health programs). Thus, they hypothesized that a fitness cost associated with the Kdr mutation explained the absence of fixation [16]. Such costs have been documented in Culex quinquefasciatus (through life history trait experiments) [17], however, none have been reported so far in An. gambiae. Interestingly, Lynd et al. [16] also suggested that the balance of advantages and costs could lead to overdominance, in which case the heterozygotes would be fitter than the SS and RR homozygotes [1821].

Our study provides the first evidence of both a behavioural cost associated with the Kdr allele that conveys pyrethroid and DDT resistance in An. gambiae. Importantly, this evidence comes from an experimental set-up in which mosquito contacts with insecticide were unforced, and thus could be interrupted, similar to the situation in natural settings.

We first noted that the host-seeking performance was reduced in females homozygous for the resistance Kdr allele (RR) in the absence of insecticide. The RR females are less apt at finding the hole in the net to reach their blood meal. This is the first evidence of behavioral costs associated with this mutation. It suggests a deficiency in the nervous system of RR females. The voltage-gated sodium channel indeed plays a central role in message propagation in the nervous system. The Kdr mutation enhances closed-state inactivation of nerves, meaning that more stimulation is required before nerves fire and release acetylcholine into the synaptic cleft, relative to susceptible individuals [22]. Consequently, the Kdr mutation probably affects several behavior-related nervous pathways [23]. In Kdr resistant Heliothis virescens moths, pharmacological and biophysical properties of sodium channels were found to cause sluggish neural activity in the absence of PYR, and were characterized by decreased cellular and behavioral excitability of sodium channels [24]. Further physiological and behavioral investigations are underway to better understand the physiological processes underlying the behavioral changes we report here.

A second finding is that, while still partially resistant to the insecticide, the heterozygous females are not affected by the cost observed in RR females. This is evidence for heterosis, or hybrid vigor, in which the product of a cross is superior to either parent [25]. One of the modalities of heterosis is overdominance, the superior fitness of the heterozygous genotype over both homozygotes [26], though reports suggesting heterozygote advantage for single gene mutations are rare and controversial. Interestingly, the majority of the few examples came from the study of resistance to infectious diseases, such as the major histocompatibility complex in vertebrates; in insects, one of the best examples is the alcohol dehydrogenase (Adh) locus in Drosophila melanogaster [21]. Studying contemporaneous heterozygote advantage implies fulfillment of three criteria: i) identifying genes under selection, ii) establishing relative fitness and iii) understanding the selection mechanism [21]. The present study fulfills these criteria and, thus, provides an unambiguous new example of overdominance. A single substitution in the gene encoding the voltage-gated sodium channel (Kdr) indeed provides heterozygotes with resistance to the KD effect of PYR higher than susceptible homozygotes SS, while imposing little cost, if any, as compared to the decreased host-seeking success seen in resistant homozygotes RR. Compared to the homozygotes, the RS genotype maintains a better balance between the antagonistic selective pressures to survive insecticide exposure while performing a complex behavior.

Interestingly, overdominance is favorable for the evolution of new resistance alleles in the form of heterozygote duplications (i.e. duplications in which the duplicates are different alleles [2729]). An advantageous heterozygous genotype bears a segregation cost, as only half of two heterozygotes' progeny will bear this fitter genotype. A duplication associating both alleles on the same chromosome would allow this advantageous genotype to fix by eliminating this segregation cost. A similar heterosis situation is probably responsible for the selection of duplications of the ace-1 gene (encoding the target of organophosphorous insecticides) in both Cx. pipiens and An. gambiae [3033]. With one susceptible and one resistance allele in tandem on the same chromosome, individuals with the duplication have fitness similar to that of heterozygotes (resistance and reduced cost [29]); such duplication allows the fixation of this heterozygote advantage in a population [30]. The overdominance at the Kdr locus thus provides ground for similar evolution. Interestingly, a study of An. gambiae Kdr resistance by Pinto et al. [34] in Gabon showed a significant excess of the heterozygote genotype, which could be a sign of the presence of gene duplication for Kdr, as was shown in the case of ace-1 [30,33,35].

In a more applied perspective, our work highlights the overall high performance of all genotypes in the trials: our results confirmed the remarkable ability of both susceptible and resistant mosquitoes to find the only way through a bednet. These observations are in agreement with previous experimental hut studies on the blood feeding rates of An. gambiae (see review [36]). The Kdr resistance currently at high frequencies across much of Africa is only one of the mechanisms conferring resistance to insecticides. The impact of such insecticide resistance mechanisms on behavior and/or infection by Plasmodium spp. is of crucial interest [9,37,38]. A multi-disciplinary approach is needed to study in depth the complex interactions among mosquito behavior, parasite infection and human-made insecticidal barriers, with the objective of designing innovative tools that can more specifically target resistant and infectious mosquitoes [39,40].

Our study highlights the importance of behavioral studies for developing a full understanding of the evolution of insecticide resistance and its impacts. By modulating host-seeking behavior, insecticide resistance can affect the vectorial capacity of female mosquitoes. Given the ability of heterozygous mosquitoes in particular to readily overcome the barrier of a damaged ITN, the effects of insecticide resistance on host choice and biting behavior remain to be investigated.

Experimental Procedures

Mosquito strains and rearing

PYR insecticides target the voltage-gated sodium channel on the insects’ neurons. Non-synonymous mutations in this target site that cause resistance to insecticides are often referred to as knock-down resistance mutations (Kdr). These alleles confer the ability to survive prolonged exposure to insecticides without being ‘knocked-down' [6]. The substitution of a leucine by a phenylalanine at codon 1014 (L1014F) is the most common sodium channel mutation, associated with PYR resistance in African malaria vectors [41].

Two strains of An. gambiae s.s. were used. One is the insecticide susceptible strain Kisumu (VectorBase, http://www.vectorbase.org, KISUMU1), isolated in Kenya in 1975. This strain is susceptible and homozygous (SS) for the L1014 codon. The second strain named Kdrkis is resistant to PYR and homozygous (RR) for the L1014F Kdr mutation. Kdrkis was obtained by introgression of the L1014F mutation into the Kisumu genome through repeated backcrosses [9]. Heterozygous individuals (RS) were obtained through more than 15 crosses of Kisumu SS females with Kdrkis RR males. The three genotypes thus share a common genetic background for most of their genome [9].

The genotype of both susceptible and resistant strains are confirmed every 3 months by PCR following standard operational procedures of a WHO collaborating centre. For the present study, Kisumu and KdrKis strains were checked by PCR (for the Kdr and ace-1 mutations) before the beginning of the behavioral assays (July 2012) and after the end of the study (May 2013) confirming that both strains were respectively homozygous susceptible and resistant for Kdr.

The mosquitoes were reared at 27 ± 1°C, 60–70% R.H. under 16:8h L:D photoperiod at the insectaries of the Institut de Recherche pour le Développement (IRD) in Montpellier, France. Adults were fed with a 10% glucose solution and received a blood meal twice a week. Gravid females laid eggs on cups placed inside mesh-covered cages. Eggs were dispensed into plastic trays containing de-ionized water. Larvae were kept in these trays and fed with TetraMin fish food. Pupae were removed daily and allowed to emerge inside 50x50x50cm cages. Adult females used to generate these lines were fed with rabbit blood.

Mosquitoes used in the experiments were 7–8 days old females that had never received a blood meal and were deprived of sugar the night before testing. The temperature of the experimental room was maintained at 27 ± 1°C and 60–70% R.H.

Experimental setup

Experiments were conducted in a wind tunnel (40x13x13cm), divided into two chambers of equal dimensions separated by a piece of netting (treated with insecticide or untreated) with a 1cm diameter hole in its center (HN) (S1 Fig.). Three types of holed nets were tested in this study: untreated polyester net, Olyset Net (incorporated with 1000mg/m² of permethrin), and PermaNet 2.0 (coated with 55mg/m² of deltamethrin). The chambers (C) were numbered 1 and 2, respectively. The tunnel was made of foam board with a white opaque Plexiglas floor and a removable transparent Plexiglas roof. The ends of the chambers were screened with untreated net (NS) prevented the mosquitoes from escaping. The airflow entered the tunnel via a 10 cm diameter circular opening covered with an untreated net screen that acted as a diaphragm to regulate airflow in the tunnel at 16±3 cm.s-1.

The tunnel was softly illuminated by 12 blue LEDs (450nm) from 83cm underneath. Illumination inside the tunnel was 186.66 10-4 mW/cm-2.

The tunnel was completed by a glass cage (GC; 60x26x26cm), which held the attractive guinea pig bait (able to move in a limited area in the upper part of the cage) and a fan aimed directly down the tunnel.

Mosquitoes were released individually for each trial. The trial was replicated for each genotype and treatment. In order to get enough replicates for the analysis of the performances, a minimum of 40 mosquitoes successfully passing through the piece of net was required. The number of replicates range from 40 to 91 depending of the treatment and genotype. Each mosquito was filmed during 60 min maximum using a Sony Digital HD Video Camera (HDR-XR550), placed 50cm above the tunnel. The camera was connected to a computer in an external room from where the assay was controlled in real-time. Recording was stopped when the mosquito passed through the hole to chamber 2. MPEG-2 videos (PAL video: 720x576 pixels at 25 frames/s) were analyzed using Ethovision XT software (v.7, Noldus Information Technology, Wageningen, The Netherlands). During the trials, the mosquito was recorded as successful if it passed through the holed net to reach the upwind chamber and unsuccessful otherwise (i.e. it was still in the downwind chamber after the 60 min). Because ITN can induce a fast-acting effect known as Knock-down (KD), unsuccessful mosquitoes were recorded as KD if they were lying on their side or back with none of their tarsi in contact with the floor, or otherwise alive. Moreover, the following behavioral variables were measured in chamber 1 for the assay duration (60min or until the mosquito passed through the hole): (1) time spent on the walls (except the holed net) of chamber 1, (2) time spent on the holed net, (3) number of contacts with the holed net, (4) flight time, (5) mean flight speed, and (6) elapsed time before passing through the hole (if successful).

During the setting-up phase of each experiment, latex gloves were used to avoid any contamination with human skin odors. Mosquitoes were released individually from an opening (1cm diameter) at the downwind extremity of one of the tunnel walls. Cotton was used to plug the hole after releasing.

Statistical analysis

All statistical analyses were conducted using the software R version 3.0.2 [42] with the additional nnet, pgrmess and spaMM packages [4345].

Performances

We analyzed the performance (i.e. probability of passing through the holed net) using a binomial logistic model with Kdr genotypes (SS, RS or RR), treatments of the holed net (untreated, Olyset Net or PermaNet) and interactions as explanatory variables. The model was written as follow: , wheredenotes the effect on the logit of classification in category i (SS, RS or RR) of Genotype and denotes the effect of classification in category k (untreated, Olyset Net or PermaNet) of Treatment. Each combination of categories i and k of the explanatory variables was successively used as reference class to allow multiple comparisons among genotypes and treatments. Odds ratios and their 95% confidence intervals were computed. We calculated binomial confidence interval of the proportions of successful mosquitoes using Wilson's score method [46] with a continuity correction [47].

The selection parameters h (for dominance) and s (for selection) determine the proportion p of successful mosquitoes for the different genotypes in each trial, which are estimated by a binomial generalized linear model with predictor logit (p) = ag for the three genotypes g = SS, RS, RR. h and s are complex functions of the three ag coefficients. For simplicity, we therefore randomly generated aRS and aRR values (100,000 such pairs in a uniform distribution), and for all such pairs we fitted aSS and plotted the attained likelihood against the corresponding h or s values. The upper boundary of either cloud of points is the profile likelihood for either parameter, from which maximum likelihood estimates and likelihood ratio confidence intervals were computed.

A multinomial logistic model with 3 possible outcomes (successful, unsuccessful alive or unsuccessful KD) was used to compare the proportions of KD relative to the unsuccessful mosquitoes among genotypes and between insecticidal treatments (Olyset Net or PermaNet). The multinomial model allowed us to take into account the proportion of successful mosquitoes in the analysis. Odds ratios and their 95% confidence interval were computed. We calculated multinomial confidence intervals for the proportions of KD using the method by Sison and Glaz [48] (R package "MultinomialCI").

Behavioral variables recorded using video analyses

The number of contacts with the holed untreated net per time unit was compared among genotypes using a Poisson model with the log of the video duration (i.e. the elapsed time before the mosquito passed through the hole and 60min for successful and unsuccessful mosquitoes, respectively) as an offset.

Proportion of flight time, mean flight speed, proportions of time spent on the holed net and on the walls of chamber 1 were not normally distributed and were therefore compared among genotypes using Kruskal-Wallis tests followed by Dunn’s post-hoc tests [45,49].

For successful mosquitoes, the time needed to pass through the hole in the untreated net was also compared among genotypes using a Kruskal-Wallis tests followed by Dunn’s post-hoc tests.

Ethical Considerations

The IRD lab where the experiments were run received the approval from the animal care and use committee named “Comité d’éthique pour l’expérimentation animale; Languedoc Roussillon” (CEEA-LR-1064 for guinea pigs and CEEA-LR-13002 for the rabbits).

Supporting Information

S1 Fig. Panel A.

A wind tunnel to study the ability of malaria vector mosquitoes to pass through a holed net. C1: Chamber one (release chamber); C2: Chamber 2; GC: Glass cage receiving the guinea pig bait; RO: Release opening; NS: Net screens; HN: Holed net. Panel B. Photo of the experimental setup.

https://doi.org/10.1371/journal.pone.0121755.s001

(TIF)

S2 Fig. Tukey’s boxplots of (A) contact rates, (B) proportions of flight time, (C) flight speed, (D) proportion of time spent on the holed net, (E) proportions time spent on the tunnel walls, and (F) elapsed time before passing through the hole in An.

gambiae of the three kdr genotypes faced with an untreated holed net. Whiskers indicate the most extreme data that is no more than 1.5 times the interquartile range. Outliers are not shown. ns: non significant, **: p<0.01, ***:p<0.001 according to (A) a Poisson model and (B, C, D, E, F) Dunn’s post tests after a Kruskal-Wallis test.

https://doi.org/10.1371/journal.pone.0121755.s002

(TIF)

Acknowledgments

The authors would like to thank François Rousset, Thierry Lefèvre, Claudio Lazzari, Michel Raymond and Adrian J F Luty for their help during the analysis and writing of the manuscript.

Author Contributions

Conceived and designed the experiments: MMD FC CP. Performed the experiments: MMD HMH SD. Analyzed the data: MMD NM PM OB AP PL CP. Contributed reagents/materials/analysis tools: NM FC PL CP. Wrote the paper: MMD NM FC PM AP PL CP.

References

  1. 1. Lehane MJ. The Biology of Blood-Sucking in Insects. Cambridge University Press; 2005.
  2. 2. WHO. World Malaria Report 2013. World Health Organization; 2013 p. 253. Report No.: ISBN 978 92 4 156469 4.
  3. 3. Moiroux N, Gomez MB, Pennetier C, Elanga E, Djenontin A, Chandre F, et al. Changes in Anopheles funestus biting behavior following universal coverage of long-lasting insecticidal nets in Benin. J Infect Dis. 2012;206: 1622–1629. pmid:22966127
  4. 4. Lefevre T, Gouagna L-C, Dabire KR, Elguero E, Fontenille D, Renaud F, et al. Beyond nature and nurture: phenotypic plasticity in blood-feeding behavior of Anopheles gambiae s.s. when humans are not readily accessible. Am J Trop Med Hyg. 2009;81: 1023–1029. pmid:19996432
  5. 5. Rivero A, Vézilier J, Weill M, Read AF, Gandon S. Insecticide control of vector-borne diseases: when is insecticide resistance a problem? Manchester M, editor. PLoS Pathog. 2010;6: e1001000. pmid:20700451
  6. 6. 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: 91–98. pmid:20843745
  7. 7. Gatton ML, Chitnis N, Churcher T, Donnelly MJ, Ghani AC, Godfray HCJ, et al. The importance of mosquito behavioural adaptations to malaria control in Africa. Evolution. 2013;67: 1218–1230. pmid:23550770
  8. 8. Hougard J-M, Duchon S, Darriet F, Zaim M, Rogier C, Guillet P. Comparative performances, under laboratory conditions, of seven pyrethroid insecticides used for impregnation of mosquito nets. Bull World Health Organ. 2003;81: 324–333. pmid:12856050
  9. 9. Alout H, Ndam NT, Sandeu MM, Djégbe I, Chandre F, Dabiré RK, et al. Insecticide resistance alleles affect vector competence of Anopheles gambiae s.s. for Plasmodium falciparum field isolates. Vontas J, editor. PLoS ONE. 2013;8: e63849. pmid:23704944
  10. 10. Beeuwkes J, Spitzen J, Spoor CW, Van Leeuwen JL, Takken W. 3-D flight behaviour of the malaria mosquito Anopheles gambiae ss inside an odour plume. Proc Neth Entomol Soc Meet. 2008;19: 137–146.
  11. 11. Spitzen J, Spoor CW, Grieco F, ter Braak C, Beeuwkes J, van Brugge SP, et al. A 3D analysis of flight behavior of Anopheles gambiae sensu stricto malaria mosquitoes in response to human odor and heat. Dimopoulos G, editor. PLoS ONE. 2013;8: e62995. pmid:23658792
  12. 12. Lacey ES, Cardé RT. Activation, orientation and landing of female Culex quinquefasciatus in response to carbon dioxide and odour from human feet: 3-D flight analysis in a wind tunnel. Med Vet Entomol. 2011;25: 94–103. pmid:21118282
  13. 13. Raymond-Delpech V, Matsuda K, Sattelle BM, Rauh JJ, Sattelle DB. Ion channels: molecular targets of neuroactive insecticides. Invert Neurosci. 2005;5: 119–133. pmid:16172884
  14. 14. WHO. Guidelines for laboratory and field-testing of long-lasting insecticidal nets. World Health Organization; 2013 p. 89. Report No.: WHO/HTM/NTD/WHOPES/2013.3.
  15. 15. Chandre F, Darriet F, Duchon S, Finot L, Manguin S, Carnevale P, et al. Modifications of pyrethroid effects associated with kdr mutation in Anopheles gambiae. Med Vet Entomol. 2000;14: 81–88. pmid:10759316
  16. 16. Lynd A, Weetman D, Barbosa S, Egyir Yawson A, Mitchell S, Pinto J, et al. Field, genetic, and modeling approaches show strong positive selection acting upon an insecticide resistance mutation in Anopheles gambiae s.s. Mol Biol Evol. 2010;27: 1117–1125. pmid:20056691
  17. 17. Berticat C, Bonnet J, Duchon S, Agnew P, Weill M, Corbel V. Costs and benefits of multiple resistance to insecticides for Culex quinquefasciatus mosquitoes. BMC Evol Biol. 2008;8: 104. pmid:18397515
  18. 18. Fisher R. On the dominance ratio. Proc R Soc Edin. 1922; 321–241.
  19. 19. Asthana S, Schmidt S, Sunyaev S. A limited role for balancing selection. Trends Genet TIG. 2005;21: 30–32. pmid:15680511
  20. 20. Andrés AM, Hubisz MJ, Indap A, Torgerson DG, Degenhardt JD, Boyko AR, et al. Targets of balancing selection in the human genome. Mol Biol Evol. 2009;26: 2755–2764. pmid:19713326
  21. 21. Hedrick PW. What is the evidence for heterozygote advantage selection? Trends Ecol Evol. 2012;27: 698–704. pmid:22975220
  22. 22. Vais H, Williamson MS, Goodson SJ, Devonshire AL, Warmke JW, Usherwood PN, et al. Activation of Drosophila sodium channels promotes modification by deltamethrin. Reductions in affinity caused by knock-down resistance mutations. J Gen Physiol. 2000;115: 305–318. pmid:10694259
  23. 23. Ignell R, Sengul MS, Hill SR, Hansson BS. Odour coding and neural connections. Olfaction in vector-host interactions. Wagenningen academics publisher.
  24. 24. Lee D, Park Y, Brown TM, Adams ME. Altered properties of neuronal sodium channels associated with genetic resistance to pyrethroids. Mol Pharmacol. 1999;55: 584–593. pmid:10051544
  25. 25. Lippman ZB, Zamir D. Heterosis: revisiting the magic. Trends Genet TIG. 2007;23: 60–66. pmid:17188398
  26. 26. Haldane JBS. Disease and evolution. Ric Sci Suppl. 1949;19: 68–76.
  27. 27. Haldane JBS. The causes of evolution. Harper. NewYork; 1932.
  28. 28. Spofford JB. Heterosis and the evolution of duplications. Am Nat. 1969;103: 407–432.
  29. 29. Labbé P, Milesi P, Yébakima A, Pasteur N, Weill M, Lenormand T. Gene-dosage effects on fitness in recent adaptative duplications: ace-1 in the mosquito Culex pipiens. Evol Int J Org Evol. 2014;
  30. 30. Labbe P, Berthomieu A, Berticat C, Alout H, Raymond M, Lenormand T, et al. Independent duplications of the acetylcholinesterase Gene conferring insecticide resistance in the mosquito Culex pipiens. Mol Biol Evol. 2007;24: 1056–1067. pmid:17283366
  31. 31. Labbé P, Berticat C, Berthomieu A, Unal S, Bernard C, Weill M, et al. Forty years of erratic insecticide resistance evolution in the mosquito Culex pipiens. PLoS Genet. 2007;3: e205. pmid:18020711
  32. 32. Djogbénou L, Chandre F, Berthomieu A, Dabiré R, Koffi A, Alout H, et al. Evidence of introgression of the ace-1R mutation and of the ace-1 duplication in West African Anopheles gambiae s. s. Carter DA, editor. PLoS ONE. 2008;3: e2172. pmid:18478097
  33. 33. Djogbénou L, Labbé P, Chandre F, Pasteur N, Weill M. Ace-1 duplication in Anopheles gambiae: a challenge for malaria control. Malar J. 2009;8: 70. pmid:19374767
  34. 34. Pinto J, Lynd A, Elissa N, Donnelly MJ, Costa C, Gentile G, et al. Co-occurrence of East and West African kdr mutations suggests high levels of resistance to pyrethroid insecticides in Anopheles gambiae from Libreville, Gabon. Med Vet Entomol. 2006;20: 27–32. pmid:16608487
  35. 35. Lenormand T, Guillemaud T, Bourguet D, Raymond M. Evaluating gene flow using selected markers: a case study. Genetics. 1998;149: 1383–1392. pmid:9649528
  36. 36. Strode C, Donegan S, Garner P, Enayati AA, Hemingway J. The impact of pyrethroid resistance on the efficacy of insecticide-treated bed nets against African Anopheline mosquitoes: systematic review and meta-analysis. PLoS Med. 2014;11: e1001619. pmid:24642791
  37. 37. Alout H, Djègbè I, Chandre F, Djogbénou LS, Dabiré RK, Corbel V, et al. Insecticide exposure impacts vector-parasite interactions in insecticide-resistant malaria vectors. Proc Biol Sci. 2014;281.
  38. 38. Alout H, Yameogo B, Djogbénou LS, Chandre F, Dabiré RK, Corbel V, et al. Interplay between malaria infection and resistance to insecticides in vector mosquitoes. J Infect Dis. 2014; jiu276.
  39. 39. Hemingway J. The role of vector control in stopping the transmission of malaria: threats and opportunities. Philos Trans R Soc Lond B Biol Sci. 2014;369: 20130431. pmid:24821917
  40. 40. Vontas J, Moore S, Kleinschmidt I, Ranson H, Lindsay S, Lengeler C, et al. Framework for rapid assessment and adoption of new vector control tools. Trends Parasitol. 2014;30: 191–204. pmid:24657042
  41. 41. Martinez-Torres D, Chandre F, Williamson MS, Darriet F, Bergé JB, Devonshire AL, et al. Molecular characterization of pyrethroid knockdown resistance (kdr) in the major malaria vector Anopheles gambiae s.s. Insect Mol Biol. 1998;7: 179–184. pmid:9535162
  42. 42. R Development Core Team. R: A Language and Environment for Statistical Computing. 3.02. Vienna, Austria: R Foundation for Statistical Computing;
  43. 43. Giraudoux P. pgirmess: Data analysis in ecology. R package version 158. 2011.
  44. 44. Croisssant Y. Estimation of multinomial logit models in R: The mlogit Packages. R package version 02–4 Avaialble: http://cran r-project org/web/packages/mlogit/vignettes/mlogit pdf. 2012.
  45. 45. Dum O. Multiple Comparisons Using Rank Sums. Technometrics. 1964; 241–252.
  46. 46. Agresti A, Coull B. Approximate is better than “exact” for interval estimation of binomial proportions. Am Stat. 1998;52: 119–126.
  47. 47. Yates F. Contingency table involving small numbers and the Khi2 test. Suppl J R Stat Soc. 1934;1: 217–235.
  48. 48. Sison C, Glaz J. Simultaneous confidence intervals and sample size determination for multinomial proportions. J Am Stat Assoc. 1995;90: 366–369.
  49. 49. Rousset F, Ferdy J-B. Testing environmental and genetic effects in the presence of spatial autocorrelation. Ecography. In press.