Literature DB >> 35390050

Behavioral responses of pyrethroid resistant and susceptible Anopheles gambiae mosquitoes to insecticide treated bed net.

Maxwell G Machani1,2, Eric Ochomo1, Fred Amimo2, Wolfgang R Mukabana3,4, Andrew K Githeko1, Guiyun Yan5, Yaw A Afrane6.   

Abstract

BACKGROUND: Long-lasting insecticidal nets are an effective tool in reducing malaria transmission. However, with increasing insecticide resistance little is known about how physiologically resistant malaria vectors behave around a human-occupied bed net, despite their importance in malaria transmission. We used the Mbita bednet trap to assess the host-seeking behavior of insecticide-resistant Anopheles gambiae mosquitoes under semi-field conditions. The trap incorporates a mosquito netting panel which acts as a mechanical barrier that prevents host-seeking mosquitoes from reaching the human host baiting the trap.
METHODS: Susceptible and pyrethroid-resistant colonies of female Anopheles gambiae mosquitoes aged 3-5 days old were used in this study. The laboratory-bred mosquitoes were color-marked with fluorescent powders and released inside a semi-field environment where a human subject slept inside a bednet trap erected in a traditional African hut. The netting panel inside the trap was either untreated (control) or deltamethrin-impregnated. The mosquitoes were released outside the hut. Only female mosquitoes were used. A window exit trap was installed on the hut to catch mosquitoes exiting the hut. A prokopack aspirator was used to collect indoor and outdoor resting mosquitoes. In addition, clay pots were placed outside the hut to collect outdoor resting mosquitoes. The F1 progeny of wild-caught mosquitoes were also used in these experiments.
RESULTS: The mean number of resistant mosquitoes trapped in the deltamethrin-impregnated bed net trap was higher (mean = 50.21± 3.7) compared to susceptible counterparts (mean + 22.4 ± 1.31) (OR = 1.445; P<0.001). More susceptible mosquitoes were trapped in an untreated (mean = 51.9 ± 3.6) compared to a deltamethrin-treated bed net trap (mean = 22.4 ± 1.3) (OR = 2.65; P<0.001). Resistant mosquitoes were less likely to exit the house when a treated bed net was present compared to the susceptible mosquitoes. The number of susceptible mosquitoes caught resting outdoors (mean + 28.6 ± 2.22) when a treated bed net was hanged was higher than when untreated bednet was present inside the hut (mean = 4.6 ± 0.74). The susceptible females were 2.3 times more likely to stay outdoors away from the treated bed net (OR = 2.25; 95% CI = [1.7-2.9]; P<0.001).
CONCLUSION: The results show that deltamethrin-treatment of netting panels inside the bednet trap did not alter the host-seeking behavior of insecticide-resistant female An. gambiae mosquitoes. On the contrary, susceptible females exited the hut and remained outdoors when a treated net was used. However, further investigations of the behavior of resistant mosquitoes under natural conditions should be undertaken to confirm these observations and improve the current intervention which are threatened by insecticide resistance and altered vector behavior.

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Year:  2022        PMID: 35390050      PMCID: PMC8989192          DOI: 10.1371/journal.pone.0266420

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.752


Introduction

Reduction in malaria morbidity and mortality over the past decade in sub-Saharan Africa is largely attributed to the effectiveness of long-lasting insecticidal nets (LLINs) [1]. This has been possible because the main malaria vectors primarily feed indoors at night, a behavioral pattern that coincides with the time when human hosts are indoors and asleep [2-4]. However, extensive use of insecticides has subjected mosquitoes to intensive selection pressure, resulting in the development of physiological and behavioral resistance [5]. To date, several studies have reported and described physiological resistance mechanisms of mosquitoes to insecticides with an aim of improving resistance management strategies [6-10]. However, behavioral resistance to insecticides is poorly documented despite its potential impact on the efficacy of vector control tools and its effect on residual malaria transmission [11]. The continued success of the current vector control interventions is dependent on the susceptibility of target mosquito populations to the insecticides used. Until recently, Pyrethroids were one of the insecticide classes advocated for vector control in public health due to their low mammalian toxicity, unique modes of action such as fast knockdown, excito-repellency effects and high insecticidal potency [12]. Some innovative nets treated with a combination of a pyrethroid and either a non-pyrethroid compound e.g. synergists (piperonyl butoxide) and pyriproxyfen are under investigation [13-15]. Most recently, some of these nets received conditional endorsement from WHO to be used in areas reporting moderate insecticide resistance to pyrethroids [16]. Over the past two decades, the use of insecticide-treated nets has increased, exerting greater selection pressure on malaria vector populations and resulting in higher incidences of pyrethroid insecticide resistance that is likely to affect the effectiveness of vector control [17]. Some studies have reported the spread of pyrethroid resistance and the mechanisms involved including target site insensitivity caused by kdr mutations [5, 18] and detoxification enzymes that metabolize the insecticide before reaching its target site [19]. However, it is less clear how the observed resistance affects current control measures. Existing literature on behavioral changes associated with insecticide use comes mainly from pyrethroid susceptible mosquitoes but the data on the behavior of pyrethroid-resistant malaria vectors is sparse and, at times conflicting, highlighting the need for additional research. Insect behavioral avoidance response to insecticides can be referred to as the ability to move away from an insecticide-treated area without lethal consequences [20]. Two types of behavioral avoidance responses by mosquitoes have been largely recognized. These include irritancy (mosquitoes enter houses but leave early only after making physical contact with the treated surface) and excito-repellency (mosquitoes exit the treated area without making physical contact or after detecting insecticide vapour from a distance) [21]. The endophilic nature, the aggressiveness and the time vectors spend indoors, may have an impact on the effectiveness of residual insecticides as these traits determine the contact time with treated surfaces [22]. Increased foraging earlier in the evening or later in the morning, i.e. times when the human hosts are not protected by insecticide-treated bednets, has been observed within the principal African malaria vectors in the An. gambiae and An. funestus species complexes [3]. Exophily has also been observed as a consequence of indoor insecticide use [22, 23]. This switch in behavior may limit contact between aggressive susceptible malaria vectors and treated surfaces, hence threatening the efficiency of indoor interventions. However, with the increased use of insecticides indoors and the development of insecticide resistance, it is likely mosquitoes may not be able to avoid contact [24]. It is suggested that avoidance behavior in mosquitoes that have become insensitive to pyrethroids may weaken due to increased selection pressure exerted by the insecticides used [25]. Some authors assert that physiologically resistant mosquitoes may use the recognition of insecticides as a proxy for host presence [24, 26, 27]. It is unclear if mechanisms related to insecticide resistance may influence the behavior of malaria vectors, as any molecular change in the insect nervous system, may have a pleiotropic effect on nerve function and insect behavior [28]. Given the important role of the current vector control interventions as a means of reducing the burden of malaria transmission and increasing insecticide resistance, the behavior of physiologically resistant malaria vectors should be well defined. In this study semi-field experiments were performed to examine the behavior of the major malaria vector Anopheles gambiae s.s. (hereafter referred to as An. gambiae) towards a human-occupied Mbita bed net trap containing insecticide-treated or untreated netting panel. We hypothesized that pyrethroid-resistant mosquitoes seek and bite human hosts indoors in the presence of indoor-based vector control interventions. Unfed, susceptible mosquitoes leave the house through windows or eaves and seek blood meals elsewhere. This study provides information on how the behavior of physiologically resistant vectors may differ in comparison to their susceptible counterparts, an aspect that is poorly understood. Given the rapid development of insecticide resistance in a large number of malaria vectors, there is an urgent need for evidence-based studies on the behavior of malaria vectors in the presence of vector control interventions if the significant gains made in reducing malaria morbidity and mortality is to be maintained.

Methods

Mosquito strains used in the experiments

Mosquitoes used in this study consisted of a deltamethrin-selected resistant strain and an unselected strain of An. gambiae hereafter referred to as resistant and susceptible mosquitoes, respectively [29]. The mosquitoes were collected from Bungoma County in western Kenya. The colonies were selected and maintained at the Centre for Global Health Research, Kenya Medical Research Institute (KEMRI) in Kisumu, western Kenya, under standard rearing conditions of 27 ± 2°C temperature, relative humidity (RH) of 80 ± 10% and under a L12: D12 h light: dark cycle. During the rearing process, each colonized strain had three independent lineages that started with 200–250 females at every new generation to limit bottleneck effects [29]. The progeny of F1 wild-caught mosquitoes from the same region were also used to undertake these experiments.

Resistant strain

This colony underwent deltamethrin selection after each generation. The 6th generation, which was used in this study was highly resistant with 20% mortality according to the WHO criteria [30]. According to Machani et al. [29], resistance in this colony was mainly mediated by the cytochrome P450 detoxification enzyme. The two kdr mutations 1014S and 1014F were present and at high frequencies.

Susceptible strain

This strain shared the same genetic background with the resistant colony but was reared in the absence of insecticide selection pressure. After nine generations without selection pressure, the population had almost lost resistance to deltamethrin (Mortality; 92%) and after 13 generations the population showed increased mortality (97.3%). The 14th generation was used in this study. The generation difference between the resistant and susceptible colony was due to the delayed development in the selected resistant colony.

Wild population

F1 progeny obtained from wild-caught An. gambiae female mosquitoes from Bungoma area where the resistant and susceptible colonies originated were also used in this study. Each female (mother) was identified by PCR as An. gambiae s.s according to the methods of Scott et al. [31]. The wild population had 56% resistance to deltamethrin. It is reported that the observed resistance was mediated by a mix of metabolic and kdr traits [18, 32–35].

Semi-field set up

The study was carried out at the Centre for Global Health Research, Kenya Medical Research Institute, Kisumu, Kenya located near the equator in western Kenya. The release and recapture studies were conducted in an enclosed system dubbed the MalariaSphere. The system measured 20m long × 8m wide [36] with slanted roofing standing 3m high at the sides and 4.5m in the middle. The entire structure was covered with insect-proof screen netting that prevented mosquitoes inside the system from escaping into the environment, or vice versa (Fig 1A). The system was also double-doored for the same reason. Inside the system a 3m × 3m mud-walled hut was erected resembling a typical African village house with respect to size, design and mosquito exit/entry points (eaves, window and door) (Fig 1B). The MalariaSphere had local vegetation and grass growing in it to mimic the natural vegetation in the study area and to provide shelter for mosquitoes in the outdoor environment (Fig 1B). Two round clay pots were installed in the enclosure but outside the hut to act as outdoor mosquito resting sites (Fig 1C). A Mbita bednet trap with or without an insecticide-treated net panel was erected inside the hut (Fig 1D). Treated and untreated nets were used on different nights in the same hut. A human subject slept inside the Mbita bednet trap, treated or untreated, inside the hut each night. To offset any personal bias due to differential sleeping habits or relative attractiveness to mosquitoes, two sleepers were recruited for this experiment and took turns sleeping under the bed net. They were instructed not to consume alcohol or smoke and avoid deodorants during the study period. The volunteers who slept under the bed net trap served as bait to attract the mosquitoes into the hut but were not bitten because of the mechanical barrier provided by the netting panel.
Fig 1

The semi-field set-up photographs showing (A) The screen house, (B) inside the screen house with a traditional hut and plants, (C) clay pots (pointed with red arrows) for collecting outdoor resting mosquitoes, (D) erected bed net trap (Mbita trap), (E) exit trap fitted on the window of the hut.

The semi-field set-up photographs showing (A) The screen house, (B) inside the screen house with a traditional hut and plants, (C) clay pots (pointed with red arrows) for collecting outdoor resting mosquitoes, (D) erected bed net trap (Mbita trap), (E) exit trap fitted on the window of the hut.

Mosquito host-seeking activity using Mbita bednet trap

The Mbita bed-net trap described by Mathenge et al. [37] was used to capture host-seeking mosquitoes. The trap is a modified conical bed net made of light white cotton cloth instead of mosquito netting fabric (Fig 2). The trap had two chambers, an upper trap chamber and a lower bait chamber, separated halfway by a netting panel (Fig 2A). The panel served to prevent host-seeking mosquitoes from reaching the human bait sleeping in the lower chamber (Fig 2B). For this experiment, the netting panels were either treated or untreated. The treated netting panels were cut from DawaPlus 2.0, a long-lasting insecticidal net (LLIN) containing 80 mg/m2 deltamethrin. The working principle of the Mbita bednet trap is that host-seeking mosquitoes will respond to convective plumes, together with the accompanying body odor and exhaled breath from the human bait sleeping under the trap. The released mosquitoes after entering the house will fly up and down the trap responding to the mixed stimuli [37]. Some mosquitoes will follow and track the source of stimuli and end up being trapped inside the Mbita trap while others will choose not to follow the stimuli and stay outdoors.
Fig 2

The Mbita bed net trap.

Panel ‘A’ is an illustration of the trap with a person inside. Panel ‘B’ is a photograph of the trap showing (i) the upper chamber with a mosquito netting panel at its base and (ii) the lower chamber.

The Mbita bed net trap.

Panel ‘A’ is an illustration of the trap with a person inside. Panel ‘B’ is a photograph of the trap showing (i) the upper chamber with a mosquito netting panel at its base and (ii) the lower chamber. The DawaPlus 2.0 nets were selected for this experiment based on the fact that they were distributed in the largest proportion in the study site by the National Malaria Control Programme in Kenya during the 2017 mass net campaign. The untreated netting panel inside the Mbita bed net trap was obtained from the local market in Kisumu, Kenya.

Behavioural assay

Batches of 200 uninfected and unfed female An. gambiae mosquitoes aged 3–5 days old from the resistant or susceptible colonies were gently mouth-aspirated into a clean paper cup. The mosquitoes were sugar-starved for 6 hours before being released into the Malariasphere. The two strains were color-marked with either a green or pink fluorescent powder [FTX Series, Astral Pink; Swada (London) Ltd, London, U.K.] to distinguish them after simultaneous release into the semi-field environment. The powder was applied by filling a syringe (0.5 ml with 0.6 × 25 mm needle) with fluorescent powder. The syringe was held through the gauze at the top of the cup and in one gentle push, the powder was blown out of the syringe. This created a cloud of powder inside the cup with the mosquitoes [38]. To eliminate circadian effects resulting from environmental light: dark cycles, the colonies released were maintained in the laboratory under a fixed 12-hour light and 12-hour dark cycle. The release in the malariasphere was done early evening outside the hut and at the same time of the day (18.40 hrs) in all experiments. The volunteer entered the bednet trap 30 minutes after releasing the mosquitoes. Fifteen (15) tests were conducted with each net (treated or untreated net) for three months during the dry season. The release was done two times a week with a 3 days break to allow for the wash-out period. Windows of huts were fitted with exit traps to catch exiting mosquitoes (Fig 1E). The floor of the hut was covered with white sheets to ease the finding and collection of knocked-down mosquitoes. Host-seeking mosquitoes caught in the bed net trap were collected and recorded. The field population was used to validate the observed behaviors between these two strains because of any changes in behavior that may have resulted from colonization.

Indoor and outdoor mosquito resting activity

Mosquitoes that were not caught in the bednet and window exit traps were collected from inside and outside the hut at 0700HRS using Prokopack aspirators (John W Hock, Gainesville, FL, USA). For mosquitoes resting indoors, walls and ceilings were systematically aspirated using progressive down and upward movements along its entire length. Collection of outdoor resting mosquitoes was done using clay pots (Fig 1C). To do this white mesh from a mosquito holding cage was placed over the mouth of the pot and mosquitoes resting inside the pot agitated, causing them to fly out of the pot into the cage [39]. The corners of the screen house and the vegetation cover were checked for the presence of resting mosquitoes using the Prokopack aspirator.

WHO net bio-efficacy test

The insecticidal efficacy of the treated net was confirmed by exposing mosquitoes to DawaPlus 2.0 net for 3 mins according to the standard WHO cone bioassay procedure. This was done with 4–5 day old, non-blood fed, An. gambiae s.s mosquitoes. The bioassays included 5 replicates from both the insecticide-resistant and susceptible strains of An.gambiae. An average of five mosquitoes were placed per tube. The cone bioassays were conducted using DawaPlus 2.0 long-lasting insecticidal net treated with deltamethrin. The Kisumu strain and F1 progeny of wild-caught mosquitoes were also used in this experiment. After exposure, the groups of mosquitoes were placed in a single 1 L paper cup and provided with cotton wool soaked with 10% sugar solution for 24 hrs. Their knock-down status was measured 60 min post-exposure and mortality was recorded after 24 hrs. The survivors from the resistant colony were monitored for delayed mortality for an additional 48 hours. An untreated net was used as a negative control.

Scientific and ethical clearance

This study was approved by the Ethical Review Board of the Kenya Medical Research Institute (KEMRI) protocol number SSC 3434. Prior to the commencement of the study, volunteers were given an information sheet describing study aims and procedures, risks and benefits of participating in the study. Written informed consent was obtained from individual volunteers before the experiments. The experiments were performed in accordance with the institution’s guidelines and regulations.

Statistical analysis

Data were entered into an Excel spreadsheet from where the distribution of vector collections was determined. The number of female mosquitoes caught in the bed net trap was interpreted as host-seeking mosquitoes. Mosquito house entry rate was calculated as the number of free mosquitoes collected indoors and those found inside bed net and exit traps divided by the total number released for each group. Observations of host-seeking and exit behavior of insecticide-resistant and susceptible mosquito phenotypes were compared between treatments using a generalized linear model (GLM). A binomial distribution and logit link function were used to model the data. The effects of sampling nights on the number of mosquitoes trapped in the bed net trap was fitted as a random effect. The presence of insecticide on the netting panel inside the bed net trap and the number of mosquitoes released were fitted as fixed factors. The insecticide-impregnated panel of mosquito netting present inside the bed net trap was considered bio-effective when the percentage of mosquitoes knocked down after 60 min post-exposure was above 95% or when 24-hour mortality or after 24 hours (delayed mortality) was above 80% in the WHO cone bioassays [40]. Statistical analysis was done using the statistical program Stata (Version 14, StataCorp, College Station, Texas).

Results

Responses of mosquitoes to bednet traps with untreated or insecticide-treated netting panels

We tested the response of resistant and susceptible mosquitoes to a human host sleeping under either insecticide-treated or untreated bed net traps placed inside the hut in the MalariaSphere. In 30 experimental nights (i.e. 15 treated and 15 untreated test repeats) out of 12,000 female An. gambiae s.s (resistant and susceptible) mosquitoes released, 55.5% (6663/12000) were recovered (S1 Table). The mean number of resistant females trapped in the treated bed net trap was 50.21± 3.7 compared to that of the susceptible females 22.4 ± 1.31. The resistant females were more likely to seek a host sleeping under a treated bed net than susceptible mosquitoes (OR = 1.445; 95% CI = [1.25–1.68]; P<0.0001, Fig 3). Significantly more susceptible females were trapped in an untreated (mean: 51.9 ± 3.6) than a treated bed net trap (mean: 22.4 ± 1.3). When the untreated net was present the susceptible mosquitoes were 2.7 times more likely to search for a host than when a treated bed net was present (OR = 2.65; 95% CI = [2.29–3.05]; P<0.0001, Fig 3). GLM analysis indicated that there was a significant effect of treatment on the number of mosquitoes trapped, with more mosquitoes being caught in the untreated versus treated bed net trap (S2 Table).
Fig 3

Mean number of host-seeking mosquitoes from the three populations trapped in the treated and untreated Mbita bed net trap.

Error bars indicate the standard error of the mean.***, p<0.001, NS not significant.

Mean number of host-seeking mosquitoes from the three populations trapped in the treated and untreated Mbita bed net trap.

Error bars indicate the standard error of the mean.***, p<0.001, NS not significant. For the wild population, a total of 1013 (50.6%) mosquitoes were recaptured out of 2000 F1 females released. The proportion of the wild population caught in the untreated bed net trap was slightly higher 41.4% (211/509) % compared to treated bed net trap 33.8% (169/504) (Fig 3). However, this was not statistically significant (OR = 0.773; P = 0.489). The mortality of the resistant population trapped in the treated bed net trap was 77.7% (549/706) and 85.2% (144/169) for the wild population. All the susceptible mosquitoes trapped in the insecticide-treated bed net died.

Insecticide induced exophily of resistant and susceptible populations

Overall, the proportion of mosquitoes that entered the hut when the treated net was present was high 51.1% (95%, CI = [49.3–52.9]) for the resistant than the susceptible strain 39.8.1% (95%, CI = [38.1–41.5]) of An. gambiae. The proportion of susceptible mosquitoes entering the hut increased to 52.6% (95%, CI = [50.8–54.4]) when the untreated net was present (Table 1). The number of susceptible females caught exiting the hut when a treated bed net trap was present was 22.3 ± 2.9 compared to the resistant females (Mean: 4.2 ± 0.8). The resistant females were less likely to exit the house when a treated net was present compared to the susceptible females (GLM, OR = 0.54; P<0.0001). When the untreated bed net was present, the number of mosquitoes exiting reduced for the susceptible group (Mean: 2.4 ± 0.8) (Table 1). Overall, the susceptible females were 4.6-fold more likely to exit the house when treated bed net trap was present than when the bed net was untreated (GLM, OR = 4.64; 95% CI = [3.3–6.5]; P<0.0001). For the wild field population, 16 ± 2.1 of the recovered mosquitoes were caught in the exit trap when the treated bed net trap was present, while 3.6 ± 0.5 when the untreated net was used.
Table 1

Number of mosquitoes recaptured and proportion of mosquitoes entering and exiting the hut following the use of treated and untreated bednet trap.

Status of Bednet trapMosquito populationNo. releasedNo. recapturedhut entry (%), 95%ClNo. Exiting (Mean± SEM
TreatedResistant3000164251.1[49.3–52.9]4.6 ± 0.80
Susceptible3000174539.8[38.1–41.5]22.3 ± 2.90
UntreatedResistant3000162852.1[50.3–53.5]2.3 ± 0.70
Susceptible3000164852.6[50.8–54.4]2.4 ± 0.80
TreatedWild population (F1)100050486.7[83.7–89.7]16 ± 2.12
UntreatedWild population (F1)100050992.5[90.2–94.8]3.6 ± 0.51

Mosquito indoor versus outdoor resting behavior in relation to insecticide use

The average number of mosquitoes caught resting inside the hut when a host slept under a treated bed net trap was higher 26.4 ± 2.33 for resistant females compared to susceptible females 18.1 ± 1.34. There was no difference between the proportion of resistant and susceptible female mosquitoes caught resting indoors in the presence of an untreated bed net trap (OR = 1.1; 95% CI = [0.97–1.28]; P = 0.121) (Fig 4). The number of susceptible females caught resting outside the hut when a treated net trap was used, was higher 28.6 ± 2.22 compared to when an untreated net was present 4.6 ± 0.74. The susceptible mosquitoes were 2.3 times more likely to stay outdoors away from the treated bed net (OR = 2.25; 95% CI = [1.7–2.9]; P<0.0001; Fig 4).
Fig 4

Mean number of mosquitoes resting indoors and outdoors when a treated and untreated bed net trap was present.

Bars labeled with asterisks* indicate findings that are significantly different from others when a treated and untreated bednet is used. Error bars indicate the standard error of the mean.

Mean number of mosquitoes resting indoors and outdoors when a treated and untreated bed net trap was present.

Bars labeled with asterisks* indicate findings that are significantly different from others when a treated and untreated bednet is used. Error bars indicate the standard error of the mean. For the wild population, the average number of females caught resting inside or outside the hut when a treated bed net was present was 37.6 ± 2.4 versus 13.4 ± 2.34, respectively, compared to the untreated bed net trap (Mean; 47.4 ± 2.1 vs 8.6 ± 1.03 respectively, Fig 4). Even though the proportion resting indoor or outdoor was high when the treated bed net was present, there was no significant difference (Indoor: OR = 1.2; 95% CI = [0.94–1.54]; P = 0.139; outdoor: OR = 1.11; 95% CI = [0.72–1.71]).

LLIN bioassay and knockdown rates against resistant and susceptible colonies

Prior to the semi-field trials, the efficacy of the treated bed net was evaluated (S3 Table). The knockdown response of the resistant females exposed to DawaPlus 2.0 for 60 minutes was 7% whilst 83% of the susceptible population was knocked down. The 24-hour mortality rate for the resistant colony was 13% (95% CI = [9.1–15.9]) whilst 92% (95% CI = [89.4–94.9]) for susceptible population (Fig 5A). The knockdown rate for F1 progeny of the wild population when exposed to DawaPlus 2.0 for 60 minutes was 36% while the mortality rate after 24 hours was 59% (95% CI = [50.3–67.9]). Kisumu reference susceptible strain had a knockdown rate of 96% and a 100% mortality rate when exposed to DawaPlus 2.0. The mortality rate between 24 and 72 hours (within 1 and 3 days) after last exposure of resistant females to DawaPlus 2.0 ranged from 13% (95% CI = [9.1–15.9] to 16.4% (95% Cl = [12.6–20.2]) (Fig 5B).
Fig 5

Percentage of A) knockdown and mortality rates of the three populations of An.gambiae (F1 from wild population, susceptible strain, resistant Strain) exposed to insecticide-treated nets (DawaPlus 2) in WHO net bioassay test for 3 minutes. Knock-down was measured after 1h and mortality after 24h, B) 72 hour delayed mortality for the resistant strain. Kisumu strain is the standard WHO susceptible reference population. Error bars indicate 95% confidence intervals. The 80% mortality threshold for calling full susceptibility based on the WHO criteria is indicated.

Percentage of A) knockdown and mortality rates of the three populations of An.gambiae (F1 from wild population, susceptible strain, resistant Strain) exposed to insecticide-treated nets (DawaPlus 2) in WHO net bioassay test for 3 minutes. Knock-down was measured after 1h and mortality after 24h, B) 72 hour delayed mortality for the resistant strain. Kisumu strain is the standard WHO susceptible reference population. Error bars indicate 95% confidence intervals. The 80% mortality threshold for calling full susceptibility based on the WHO criteria is indicated.

Discussion

Physiological resistance in mosquito populations to common public health insecticides across Africa is widely reported [17, 41]. However, the knowledge of behavioral responses associated with resistance and downstream impact and efficacy of LLINs is scarcely documented [42]. Monitoring the host-seeking behavior of physiologically resistant mosquitoes in the presence of indoor vector control tools is necessary to determine whether the efficacy of the tools could be compromised with the resistance profiles or whether they can be optimized. This study provides insights into the behavior of pyrethroid-resistant An. gambiae when they encounter pyrethroid-based LLINs in a free-flight environment similar to the field settings. The results demonstrate that in the presence of a treated net, the host-seeking performance was not altered for resistant females, unlike the susceptible females that were observed to exit the house and remained outdoors when a treated net was used. One of the consequences of the massive roll-out of LLINs is the change in mosquito behavior where the interventions may select vectors with increased exophily (feeding outdoors early in the evening or morning hours when LLINs are not in use) because of the exposure to insecticides [11]. This study observed a large proportion of host-seeking susceptible females exiting the house and resting outdoors than resistant females when the treated net was present. The observed behavior confirms the excito repellency effect of pyrethroid-treated nets, suggesting that susceptible mosquitoes may be pushed from indoor-treated environments and resort to search blood meals outdoors or rest outdoors and initiate their search for a host soon after dusk, leading to increased outdoor transmission. On the other hand, the findings suggest, physiologically resistant malaria vectors that have developed the capacity of blood-feeding or resting indoors in the presence of LLINs, may compromise the effectiveness of LLINs, maintaining the indoor malaria transmission. The current findings emphasize the need for continuous monitoring and designing of novel resistance management strategies as the prevalence and intensity of resistance at different locations may have an effect on malaria transmission [43]. Examples of spatial avoidance have been observed in malaria vectors in the field, displaying increased outdoor host-seeking and resting outdoors following the implementation of IRS and ITNs [44, 45]. When F1 progeny of wild Anopheles gambiae s.l were released, the proportion trapped attempting to bite and exiting the hut was slightly high when the untreated net was present compared to when the treated net was in place although these findings were not statistically significant. It is noteworthy to mention that the wild population originated from the same region and shared the same background as the resistant and susceptible strain. Previous studies observed that both kdr and metabolic resistance drove pyrethroid resistance in this mosquito population. The kdr east (1014S) mutation was reported at high frequencies, unlike 1014F which was at a low frequency [18, 34, 46]. The difference in behaviours between the resistant and the F1 wild population could be due to the heterogeneity of the field population in terms of their response to the insecticide. This indicates that a substantial part of residual malaria transmission is occurring outdoors, raising the questions on the effectiveness of LLINs in reducing malaria infections when susceptible indoor feeding mosquitoes are diverted to feed outdoors when people are outside LLINs. The strategy of LLINs in malaria prevention is to deter mosquitoes from entering houses and to reduce blood-feeding rates, both of which are achieved as a consequence of excito-repellent and killing effects of the pyrethroids [47]. In this study, a higher proportion of the resistant females were caught in the treated bed net trap compared to the susceptible females. The WHO net bioassay tests confirmed lower mortality of resistant mosquitoes suggesting that nets were effective towards susceptible mosquitoes. One plausible explanation for the difference in host-seeking behaviour is the pleiotropic effects on nerve function associated with a point mutation in the voltage-gated sodium channels of resistant mosquitoes, as it interferes with the sensitivity of the sensory nervous system to pyrethroids resulting in reduced avoidance behavior [48, 49]. Studies carried out by Diop et al. [50] in the laboratory on host-seeking behavior of mosquitoes in the presence of damaged treated nets using a wind tunnel, observed increased performance of resistant females with 1014F kdr mutations compared to susceptible. This implies that in the field, physiologically resistant mosquitoes are likely to spend more time in search of a host in the presence of insecticides increasing their probability of encountering a host, unlike their susceptible counterparts that could either die after contacting the insecticides or repelled from indoor dwellings. In nature, pyrethroid-resistant mosquitoes have been found resting inside holed LLINs [51]. Such behavior may compromise the efficacy of the current indoor-based vector control tools resulting in increases in malaria transmission indoors [4]. Recent studies from western Kenya observed high resistance levels, rates of human blood index and sporozoite rates in the mosquitoes resting indoors compared to the mosquitoes collected resting outdoors [34, 52]. The study findings are in agreement with similar studies that have observed reduced host-seeking performance of susceptible mosquitoes in the presence of LLINs unlike the resistant mosquitoes whose behavior was not altered [26, 51, 53, 54]. This study had limitations, based on genotyping results the kdr mutations(1014S) was detected at high frequency in our phenotypically susceptible mosquitoes as the mutation was already fixed in the parent population [29], raising questions about the effect of 1014S mutation on the behaviour of this population in the presence of pyrethroids. Although the 1014S mutation associated with pyrethroid resistance was observed in the susceptible colony, the phenotypically resistant mosquitoes had both 1014S and 1014F kdr mutations at high frequencies and increased monooxygenase enzymes. Also due to the design of the trap, which has a funnel-shaped entry point with no return port for mosquitoes trapped, it’s difficult to measure the response of mosquitoes after contacting the treated net, however, the catches will likely reflect the true composition of the host-seeking mosquito population. The findings of this study show that despite the coverage of the indoor interventions, it is evident that not all malaria transmission can be controlled with the existing tools that are indoor-based. The population of vectors that move outdoors are not taken care of, a situation that creates a pressing need for supplementary vector control tools to control residual transmission.

Conclusion

The results show that in the presence of a pyrethroid treated net, the host-seeking performance was not altered for the resistant mosquitoes, unlike the susceptible females that were observed to exit the house and remain outdoors when a treated net was used. This might be a reason for continued malaria transmission indoors in areas with high pyrethroid resistance despite the scaling up of vector control interventions and increased outdoor malaria transmission in sub-Saharan Africa. This situation calls for urgent deployment of control tools that can complement the current vector control methods to tackle outdoor malaria transmission. However, further investigations of the behavior of resistant mosquitoes under natural conditions should be undertaken to confirm these observations and improve the current interventions which are threatened by insecticide resistance and altered vector behavior.

Results on the fate of all released mosquitoes of each strain when an insecticide treated and untreated panel was present.

(DOCX) Click here for additional data file.

Results from the mixed linear model fit by maximum likelihood examining the impact of bednet status and number of mosquitoes released, while considering night as a random effect, on the number of mosquitoes trapped during the night.

(DOCX) Click here for additional data file.

Summary results on Bioefficacy of deltamethrin treated against pyrethroid resistant and susceptible Anopheles gambiae mosquitoes.

(DOCX) Click here for additional data file. 26 Jan 2022
PONE-D-21-36181
Behavioral responses of pyrethroid resistant and susceptible Anopheles gambiae mosquitoes to insecticide treated bed net
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(Please upload your review as an attachment if it exceeds 20,000 characters) Reviewer #1: The paper has an interesting question, very important to malaria control and surveillance, but the authors based their behavioral conclusions on weak data. Would you please take a careful look at the text regarding spelling, formatting, and grammar issues? Introduction There are some minor conceptual errors, which should be corrected. Line 79: please substitute "period" with "phase." Material and Methods It would be interesting to describe the protocol used to select the colonies for deltamethrin. Alternatively, it would help if you mentioned it is the same colony studied in Machani et al., 2020. Did you also check for mutations in the susceptible strain after the 14th generation? Were the wild-type population and the population used to form the resistant and susceptible colonies collected in the same area? I mean, do you think They have similar genetic backgrounds? Lines 213-214: "Mosquito releases were done outside the hut and at the same time of day (1840hrs) to avoid circadian effects." Can you describe the environment outside MalariaSphere at this time? Depending on the month, at this time, there was sunlight, or it was twilight or even early evening. So maybe you didn't avoid circadian effects that much. Lines 221- 222: I didn't understand this validation. Results Figures 3-5 and Table 1: please indicate in the figures/table the groups that presented statistical differences. The results presented in figure 5 are poorly described in the text. The Kisumu strain is mentioned only in the figure legend, and the colors used in figure 5B are confusing. You could present data in a more straightforward manner. Discussion It is not clear if the authors could answer the paper's central question once the conclusions are based only on the collection of mosquitoes after a particular time. It is difficult to conclude which behavior was more affected in the experiments, the irritancy of the excito-repellency as there are no images inside the huts. Another interesting point is about the wild-type population. The WT pop exits more than the resistant pop when bednets are treated. Was it expected or not? It is necessary to discuss this data, mainly because it is not clear what is the genetic background of this population concerning kdr mutations. Reviewer #2: This manuscript by Yaw Afrane et al describes a very nice experiment examining the effect of insecticide resistance on behavioural responses to insecticide treated and untreated nets, in a semi-field environment. As the authors mention, this is an area that has not been very well explored but is important to understanding how interventions work in areas of resistance, highlighting remaining transmission risk, and to designing better interventions. The results are interesting, clearly described, and well interpreted, and well framed by an informative and targeted Introduction and clear Discussion. I just have a few minor suggestions. The abstract does not mention the experiment done with F1 wild mosquitoes. Lines 87-91 – this section is a bit out of date, ignoring the next generation ITNs which have already been deployed in many sites, for example Royal Guard and Interceptor G2 which contain novel chemistries. Lines 152-153 – how was the relative contribution of resistance mechanisms determined, to be able to state that resistance was ‘mainly mediated’ by P450s? Lines 199-201 – this section is not very clear, and it would be good to expand it to describe the behaviour of mosquitoes in more detail. What is the ‘green dye’ that was used to mark mosquitoes? Fluorescent dust? Give details, with supplier. Lines 221-222 – it is not clear to me how using F1 wild mosquitoes ‘validates’ these behaviours. Please explain this more clearly. Statistical analysis section – would be clearer if it was divided into separate paragraphs. Line 285 – were these 2,000 F1 mosquitoes included in the 12,000 mentioned in the previous paragraph? Lines 288-291 – should be a separate paragraph The figures are nice and clear, and I appreciate the use of photos and the labelled diagram of the Mbita bednet trap. I would like to suggest a figure is added, perhaps in place of Figures 3 and 4 – a stacked bar graph, to show the fate of all released mosquitoes of each strain with treated and untreated traps, would show all data from the experiment clearly in one place for easy comparison. The first paragraph of the Discussion is quite out of date. Reference 5 is from 2011, and since then there has been a fair amount of research into the effects of insecticide resistance both on the impact of ITNs and on the sub-lethal effects of pyrethroid exposure on resistant mosquitoes, by the same authors and others. It is true that there has been less investigation of the effects on behaviour of mosquitoes, see Review and Meta-Analysis of the Evidence for Choosing between Specific Pyrethroids for Programmatic Purposes by Lissenden et al 2021. However, Phillip McCall at the Liverpool School of Tropical Medicine has done some work on behavioural responses that deserves mention here, albeit in a lab setting. The final sentence of this paragraph is an important new observation. Lines 345-361 – are the authors able to comment on how these two effects (more exit of susceptible mosquitoes v more biting by resistant mosquitoes) might balance against each other in their effect on malaria transmission and/or efficacy of ITNs? At least they could comment that the prevalence and intensity of resistance in a given area would affect this balance at a local level. Lines 362-364 – the authors describe ITN’s effect giving personal protection, but the other way that ITNs work is to provide community protection by killing mosquitoes, and this should be mentioned. Lines 382-384 – the fact that the ‘susceptible’ strain carried the kdr mutation is an interesting observation, suggesting that this resistance mechanism is not involved in altered behaviour in resistant mosquitoes, but that others might be (such as point-mutations mentioned in the previous paragraph). It might be interesting to expand this sentence to discuss this. In the Conclusion the effect of outdoor biting is discussed, but there will also, I presume, be more indoor biting by resistant mosquitoes which are not deterred from blood feeding. The manuscript needs a careful edit to remove typos, formatting errors, and some awkward sentence structures and inaccurate wording. ********** 6. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files. If you choose “no”, your identity will remain anonymous but your review may still be made public. Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy. Reviewer #1: No Reviewer #2: No [NOTE: If reviewer comments were submitted as an attachment file, they will be attached to this email and accessible via the submission site. Please log into your account, locate the manuscript record, and check for the action link "View Attachments". If this link does not appear, there are no attachment files.] While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com/. 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16 Mar 2022 Response to reviewer comments The following are our point-by-point responses to the comments raised by the reviewers. We thank the reviewers for their constructive criticism and insights that have helped to improve this paper. Comments Responses Reviewer # 1 The paper has an interesting question, very important to malaria control and surveillance, but the authors based their behavioral conclusions on weak data. Would you please take a careful look at the text regarding spelling, formatting, and grammar issues? Response: We thank the reviewer for the comments raised. We have carefully revised the manuscript giving much attention to the grammatical and typographical errors. Comment: There are some minor conceptual errors, which should be corrected. Line 79: please substitute "period" with "phase." Response: We have addressed the conceptual errors and also replaced “period” with “time” (Line 80) as suggested by the reviewer. Comment: Material and Methods It would be interesting to describe the protocol used to select the colonies for deltamethrin. Alternatively, it would help if you mentioned it is the same colony studied in Machani et al., 2020. Response: We have cited Machani et al 2020 (REF. 29) in Line 151-152 to show that these were the same mosquito colonies studied by the authors. Comment: Did you also check for mutations in the susceptible strain after the 14th generation? Response: We checked the mutations in the 13th generation of the susceptible strain before using the mosquitoes in our experiments in the 14th generation. In the methodology section, we mentioned (Line 161) that we only released the 14th generation of the susceptible strain. Comment: Were the wild-type population and the population used to form the resistant and susceptible colonies collected in the same area? I mean, do you think They have similar genetic backgrounds? Response: The wild-type population used were collected from the same region as the two strains (resistant and susceptible) and also share the same genetic background. We mentioned this in the methodology section Line 151-152, 166. Comment: Lines 213-214: "Mosquito releases were done outside the hut and at the same time of day (1840hrs) to avoid circadian effects." Can you describe the environment outside MalariaSphere at this time? Depending on the month, at this time, there was sunlight, or it was twilight or even early evening. So maybe you didn't avoid circadian effects that much. Response: The colonies used in this study were maintained in the laboratory under a fixed 12-hour light and 12-hour dark cycle . In addition, the mosquitoes were released at 18.40 hours in all experiments, so eliminating any circadian effects that might have influenced the results (Line 221-223). Furthermore, the malariasphere in which the experiments were done is located near the equator (Line 172) where the lengths of the day and night are similar meaning that there were minimal differences in environmental conditions outside the malariasphere. Comment: Lines 221- 222: I didn't understand this validation. Response: The resistant and susceptible strains used in this work had been colonized for 6 and 14 generations, respectively. The field population was used to validate the observed behaviors between these two strains because of any changes in behavior that may have resulted from colonization (Line 230-232). Comment: Figures 3-5 and Table 1: please indicate in the figures/table the groups that presented statistical differences. Response: We have shown in the figures and tables the groups that were statistically significant. Comment: The results presented in figure 5 are poorly described in the text. The Kisumu strain is mentioned only in the figure legend, and the colors used in figure 5B are confusing. You could present data in a more straightforward manner. Response: This section has been revised from Line 337-346. Kisumu reference susceptible strain has also been included in the text. We have changed the colors for Figure 5B to avoid confusion. We thank you for figuring this error out. Comment: It is not clear if the authors could answer the paper's central question once the conclusions are based only on the collection of mosquitoes after a particular time. It is difficult to conclude which behavior was more affected in the experiments, the irritancy of the excito-repellency as there are no images inside the huts. Responses: We strongly feel that the findings presented in our study answer the questions that we sought to investigate. The aim of this study was to investigate if pyrethroid-resistant mosquitoes could seek and bite human hosts indoors despite the presence of indoor-based vector control interventions. Otherwise, the mosquitoes would deliberately escape the treated environment and bite outdoors or rest away from the treated environment. We compared these behavioural responses with the susceptible counterparts and from our findings we observed that the host-seeking behavior of resistant mosquitoes was not altered unlike the susceptible ones when treated nets were present. The susceptible mosquitoes deliberately escaped the treated environment and a higher proportion was observed resting outdoors when the treated net was present than when the untreated net was used. Indeed, we did not have images in the hut to record the irritancy because logistically it was not possible and from the design of the study we could not measure irritancy as there was no direct contact, the treated part was a panel inside the Mbita trap and only the host-seeking mosquitoes were caught inside. The catches in the Mbita trap most likely reflect the true composition of the host-seeking mosquito population. Also, the study assumed the proportion caught exiting the hut was due to excito- repellency of insecticides used on LLIN panel. Comment: Another interesting point is about the wild-type population. The WT pop exits more than the resistant pop when bednets are treated. Was it expected or not? It is necessary to discuss this data, mainly because it is not clear what is the genetic background of this population concerning kdr mutations. Response: The wild-type population shared the same origin as the resistant and susceptible populations. We have included detailed information Line 376-385 in the text about the wild population. We expected to see a difference between the resistant and wild-type population because the latter population was heterogeneous in terms of response to the insecticide as we have both susceptible and resistant individuals in this population. The high frequency of 1014F mutations could have also contributed to the observed difference as the mutation was high in the selected resistant population than the wild-type population. Reviewer #2 General Comment: This manuscript by Yaw Afrane et al describes a very nice experiment examining the effect of insecticide resistance on behavioural responses to insecticide-treated and untreated nets, in a semi-field environment. As the authors mention, this is an area that has not been very well explored but is important to understanding how interventions work in areas of resistance, highlighting remaining transmission risk, and to designing better interventions. The results are interesting, clearly described, and well interpreted, and well framed by an informative and targeted Introduction and clear Discussion. I just have a few minor suggestions. Response: We thank the reviewer for appreciating our work Comment: The abstract does not mention the experiment done with F1 wild mosquitoes Response: We have included a statement in the abstract section Line 54 indicating that “The F1 progeny of wild-caught mosquitoes were also used in these experiments”. Comment: Lines 87-91 – this section is a bit out of date, ignoring the next generation ITNs which have already been deployed in many sites, for example Royal Guard and Interceptor G2 which contain novel chemistries. Response: We have included a statement indicating the assessment of novel chemistries Line 92-94 and the recent conditional deployment of the next generation nets Line 94-95. We have cited Ngufor et al 2020 on the efficacy of Royal Guard and WHO report 2017 on the conditional deployment of next-generation nets (PBO nets). “Some innovative nets treated with a combination of a pyrethroid and either a non-pyrethroid compound e.g. synergists (piperonyl butoxide), pyriproxyfen are under investigation. Most recently, some of these nets received conditional endorsement from WHO to be used in areas reporting moderate insecticide resistance to pyrethroids…..” Comment: Lines 152-153 – how was the relative contribution of resistance mechanisms determined, to be able to state that resistance was ‘mainly mediated’ by P450s? Responses: This study did not determine the relative contribution of the resistance mechanisms. This colony had already been characterized and the mechanisms of resistance reported by Machani et al 2020. We have cited Machani et al 2020 in the methodology section as REF 29. Briefly, the authors investigated the involvement of the two mechanisms of resistance (kdr and metabolic resistance) through genotyping, enzyme quantification assays and the use of synergist assays (PBO that inhibits the specific activity of p450 monooxygenases). The authors observed partial restoration of pyrethroid susceptibility following synergist pre-exposure suggesting a role of mixed-function oxidases (P450s). Comment: Lines 199-201 – this section is not very clear, and it would be good to expand it to describe the behaviour of mosquitoes in more detail. Response: We have revised this section from Line 200-205 and now it reads “The working principle of the Mbita bednet trap is that host-seeking mosquitoes will respond to convective plumes, together with the accompanying body odor and exhaled breath from the human bait sleeping under the trap...” Comment: What is the ‘green dye’ that was used to mark mosquitoes? Fluorescent dust? Give details, with supplier. Response: This section has been revised and more details are provided in Line 215-220. The green dye was Fluorescent powder. “The two strains were color-marked with either a green or pink fluorescent powder [FTX Series, Astral Pink; Swada (London) Ltd, London, U.K.] to distinguish them after simultaneous release into the semi-field environment. The powder was applied by filling a syringe (0.5 ml with 0.6 × 25 mm needle) with fluorescent powder. The syringe was held through the gauze at the top of the cup and in one gentle push, the powder was blown out of the syringe. This created a cloud of powder inside the cup with the mosquitoes.” Comment: Lines 221-222 – it is not clear to me how using F1 wild mosquitoes ‘validates’ these behaviours. Please explain this more clearly. Response: The resistant and susceptible strains used in this work had been colonized for 6 and 14 generations, respectively. The field population was used to validate the observed behaviors between these two strains because of any changes in behavior that may have resulted from colonization. Comment: Statistical analysis section – would be clearer if it was divided into separate paragraphs. Response: We have revised this section and now we have three separate paragraphs for clarity. Comment: Line 285 – were these 2,000 F1 mosquitoes included in the 12,000 mentioned in the previous paragraph? Lines 288-291 – should be a separate paragraph Response: The 12,000 mosquitoes released were exclusive of the 2000 F1 mosquitoes. Comment: Lines 288-291 – should be a separate paragraph Response: We have revised this section accordingly. Comment: The figures are nice and clear, and I appreciate the use of photos and the labelled diagram of the Mbita bednet trap. I would like to suggest a figure is added, perhaps in place of Figures 3 and 4 – a stacked bar graph, to show the fate of all released mosquitoes of each strain with treated and untreated traps, would show all data from the experiment clearly in one place for easy comparison. Responses: While we appreciate the reviewer’s comments we note that stacked column charts work well when the focus of the chart is to compare the totals and one part of the totals. We strongly feel that doing as suggested by the reviewer, will shift the focus of the manuscript away from the core objectives of the study. We have therefore skipped this comment. Comment: The first paragraph of the Discussion is quite out of date. Reference 5 is from 2011, and since then there has been a fair amount of research into the effects of insecticide resistance both on the impact of ITNs and on the sub-lethal effects of pyrethroid exposure on resistant mosquitoes, by the same authors and others. It is true that there has been less investigation of the effects on behaviour of mosquitoes, see Review and Meta-Analysis of the Evidence for Choosing between Specific Pyrethroids for Programmatic Purposes by Lissenden et al 2021. However, Phillip McCall at the Liverpool School of Tropical Medicine has done some work on behavioural responses that deserves mention here, albeit in a lab setting. The final sentence of this paragraph is an important new observation. Response: The first paragraph has been revised and we have cited Philip McCall studies on behavior (Hughes et al 2020). We have also replaced the 2011 reference with one from 2016 ( Ranson and Lissenden, 2016). These are on line 349– 351 Comment: Lines 345-361 – are the authors able to comment on how these two effects (more exit of susceptible mosquitoes v more biting by resistant mosquitoes) might balance against each other in their effect on malaria transmission and/or efficacy of ITNs? At least they could comment that the prevalence and intensity of resistance in a given area would affect this balance at a local level. Response: We have added a statement on Line 371- 373 that reads “The current findings emphasize the need for continuous monitoring and designing of novel resistance management strategies as the prevalence and intensity of resistance at different locations may have an effect on malaria transmission.” We have also cited Kleinschmidt et al 2018 on the implication of insecticide resistance for malaria vector control. Comment: Lines 362-364 – the authors describe ITN’s effect giving personal protection, but the other way that ITNs work is to provide community protection by killing mosquitoes, and this should be mentioned. Response: This comment has been addressed and we have included the killing effect as one ITN protection mechanism. Line 391. Comment: Lines 382-384 – the fact that the ‘susceptible’ strain carried the kdr mutation is an interesting observation, suggesting that this resistance mechanism is not involved in altered behaviour in resistant mosquitoes, but that others might be (such as point-mutations mentioned in the previous paragraph). It might be interesting to expand this sentence to discuss this. Response: We have provided more information on how other point mutations i.e 1014F have been associated with behavioral costs from Line 397-400 “Studies carried out by Diop et al. [51] in the laboratory on host-seeking behavior of mosquitoes in the presence of damaged treated nets using a wind tunnel, observed increased performance of resistant females with 1014F kdr mutations compared to susceptible counterparts” Comment: In the Conclusion the effect of outdoor biting is discussed, but there will also, I presume, be more indoor biting by resistant mosquitoes which are not deterred from blood feeding. We have revised the conclusion section by including the impact of indoor biting resistant mosquitoes. Line 429-431 “…This might be a reason for continued malaria transmission indoors in areas with high pyrethroid resistance despite the scaling up of vector control interventions and increased outdoor malaria transmission in sub-Saharan Africa.” Comment: The manuscript needs a careful edit to remove typos, formatting errors, and inaccurate wording. Response: We have revised and formatted the manuscript carefully and addressed all the typos. Submitted filename: Response to reviewer comments.docx Click here for additional data file. 21 Mar 2022 Behavioral responses of pyrethroid resistant and susceptible Anopheles gambiae mosquitoes to insecticide treated bed net PONE-D-21-36181R1 Dear Dr. Afrane, We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements. Within one week, you’ll receive an e-mail detailing the required amendments. When these have been addressed, you’ll receive a formal acceptance letter and your manuscript will be scheduled for publication. An invoice for payment will follow shortly after the formal acceptance. To ensure an efficient process, please log into Editorial Manager at http://www.editorialmanager.com/pone/, click the 'Update My Information' link at the top of the page, and double check that your user information is up-to-date. 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Your manuscript is now with our production department. If your institution or institutions have a press office, please let them know about your upcoming paper now to help maximize its impact. If they'll be preparing press materials, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information please contact onepress@plos.org. If we can help with anything else, please email us at plosone@plos.org. Thank you for submitting your work to PLOS ONE and supporting open access. Kind regards, PLOS ONE Editorial Office Staff on behalf of Dr. Pedro L. Oliveira Academic Editor PLOS ONE
  46 in total

Review 1.  Insecticide resistance in insect vectors of human disease.

Authors:  J Hemingway; H Ranson
Journal:  Annu Rev Entomol       Date:  2000       Impact factor: 19.686

2.  Resting behaviour, ecology and genetics of malaria vectors in large scale agricultural areas of Western Kenya.

Authors:  A K Githeko; M W Service; C M Mbogo; F K Atieli
Journal:  Parassitologia       Date:  1996-12

3.  Dosage differential effects of permethrin impregnated into bednets on pyrethroid resistant and susceptible genotypes of the mosquito Anopheles stephensi.

Authors:  M H Hodjati; C F Curtis
Journal:  Med Vet Entomol       Date:  1997-10       Impact factor: 2.739

4.  Changes in Anopheles funestus biting behavior following universal coverage of long-lasting insecticidal nets in Benin.

Authors:  Nicolas Moiroux; Marinely B Gomez; Cédric Pennetier; Emmanuel Elanga; Armel Djènontin; Fabrice Chandre; Innocent Djègbé; Hélène Guis; Vincent Corbel
Journal:  J Infect Dis       Date:  2012-09-10       Impact factor: 5.226

5.  Dynamics of the pyrethroid knockdown resistance allele in western Kenyan populations of Anopheles gambiae in response to insecticide-treated bed net trials.

Authors:  Aram D Stump; Francis K Atieli; John M Vulule; Nora J Besansky
Journal:  Am J Trop Med Hyg       Date:  2004-06       Impact factor: 2.345

6.  Influence of pyrethroïd-treated bed net on host seeking behavior of Anopheles gambiae s.s. carrying the kdr allele.

Authors:  Angélique Porciani; Malal Diop; Nicolas Moiroux; Tatiana Kadoke-Lambi; Anna Cohuet; Fabrice Chandre; Laurent Dormont; Cédric Pennetier
Journal:  PLoS One       Date:  2017-07-31       Impact factor: 3.240

7.  Influence of blood meal and age of mosquitoes on susceptibility to pyrethroids in Anopheles gambiae from Western Kenya.

Authors:  Maxwell G Machani; Eric Ochomo; David Sang; Mariangela Bonizzoni; Guofa Zhou; Andrew K Githeko; Guiyun Yan; Yaw A Afrane
Journal:  Malar J       Date:  2019-04-02       Impact factor: 2.979

8.  Pyrethroid and DDT Resistance and Organophosphate Susceptibility among Anopheles spp. Mosquitoes, Western Kenya.

Authors:  Christine L Wanjala; Jernard P Mbugi; Edna Ototo; Maxwell Gesuge; Yaw A Afrane; Harrysone E Atieli; Guofa Zhou; Andrew K Githeko; Guiyun Yan
Journal:  Emerg Infect Dis       Date:  2015-12       Impact factor: 6.883

9.  Quantifying late-stage host-seeking behaviour of Anopheles gambiae at the insecticidal net interface using a baited-box bioassay.

Authors:  Angela Hughes; Geraldine M Foster; Amy Guy; Agnes Matope; Mayumi Abe; David Towers; Philip J McCall
Journal:  Malar J       Date:  2020-04-07       Impact factor: 2.979

Review 10.  The importance of mosquito behavioural adaptations to malaria control in Africa.

Authors:  Michelle L Gatton; Nakul Chitnis; Thomas Churcher; Martin J Donnelly; Azra C Ghani; H Charles J Godfray; Fred Gould; Ian Hastings; John Marshall; Hilary Ranson; Mark Rowland; Jeff Shaman; Steve W Lindsay
Journal:  Evolution       Date:  2013-02-15       Impact factor: 3.694

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