Abstract
To tackle the problem of insecticide resistance, all resistance mechanisms need to be studied. This study investigated the involvement of the cuticle in pyrethroid resistance in a strain of Anopheles gambiae, MRS, free of kdr mutations. Bioassays revealed MRS to be resistant to pyrethroids and DDT, indicated by increasing knockdown times and resistance ratios. Moreover, biochemical analysis indicated that metabolic resistance based on enhanced CYP450 activity may also play a role. Insecticide penetration assays showed that there were significantly lower amounts of insecticide in the MRS strain than in the susceptible control. Analysis of the levels of the selected transcripts by qPCR showed that CYP6M2, a major pyrethroid metaboliser, CYP4G16, a gene implicated in resistance via its contribution to the biosynthesis of elevated epicuticular hydrocarbons that delay insecticide uptake, and the cuticle genes CPAP3-E and CPLCX1 were upregulated after insecticide exposure. Other metabolic (CYP6P3, GSTe2) and cuticle (CPLCG3, CPRs) genes were also constitutively upregulated. Microscopic analysis showed that the cuticle layers of the MRS strain were significantly thicker than those of the susceptible strain. This study allowed us to assess the contribution made by the cuticle and metabolic mechanisms to pyrethroid resistance in Anopheles gambiae without target-site mutations.
Introduction
The number of insecticides available for use in public health is very limited due to the risks to human health and the environment. Furthermore, public health pesticides are a niche market compared to agriculture, where there is more funding for Research and Development because of concerns over the food chain and food safety. Effective vector control requires mosquito insecticides to be as suitable as possible to the task and to take into account resistance mechanisms that have been less widely investigated but which may have multiple interactions with other mechanisms1. Most insecticides are neurotoxic and 80% of them target the synaptic cleft2.
The class of pyrethroid insecticides is the most commonly used for public health. For a quarter of a century, insecticide-treated bed nets have been the best and cheapest control tool for individual and community protection against vector-borne diseases, especially malaria3. In Africa, the broad coverage of long-lasting insecticidal nets (LLIN) for malaria prevention, in combination with other factors, has reduced Plasmodium falciparum transmission by 50%3. However, insecticide resistance may compromise the effectiveness of vector control programmes across Africa. The major African malaria vector, Anopheles gambiae s.s., is widely resistant to pyrethroids4–6 and this resistance is grounded in several mechanisms7, 8. Two of which have been widely studied: the increase in detoxification processes as a result of high levels of multi-function oxidases (MFO), non-specific esterases (NSE) and glutathione S transferases (GST)9, 10, and reduced sensitivity of the target proteins on which the insecticide acts in the voltage-gated sodium channel due to point mutation of the genes encoding these target proteins, i.e., the knockdown resistance (kdr) mutation11. Behavioural resistance is still poorly understood, but changes in behaviour associated with resistance mechanisms have occasionally been observed2, 12. Furthermore, several studies have reported a change in the biting behaviour of wild Anopheles populations after mass distribution of LLINs for vector control13–15.
As pyrethroid insecticides act through contact, in order to reach the nervous system they must first cross the mosquito exoskeleton, i.e., the cuticle. At that stage, some insects develop a mechanism that reduces penetration of the insecticide/toxic compound. This resistance mechanism has been demonstrated mainly in agricultural pests16–18, but relatively neglected in mosquitoes. However, a previous study suggests a possible association between cuticle thickness and resistance to pyrethroids in Anopheles funestus 19, while another more recent study found reduced penetration of deltamethrin in resistant Anopheles gambiae 20. Furthermore, comparative transcriptome analysis has shown significant differences in the transcripts of some cuticular proteins between deltamethrin-resistant and susceptible Anopheles gambiae in Kenya21. Alteration of the cuticle structure has also been observed alongside insecticide resistance in Anopheles arabiensis 22. In Southeast Asia, there is probably an association between cuticle protein expression and deltamethrin resistance in Culex pipiens pallens 23. The cytochrome P450, CYP4G16, consistently over-expressed in pyrethroid-resistant Anopheles arabiensis and Anopheles coluzzii 22, 24, has recently been reported to be involved in cuticular hydrocarbon production in Anopheles gambiae 20. The cuticle of insects is a natural mechanical barrier against dehydration25–27, as well being where pheromones are stored and released and the fixation support of insect muscles28, 29. However, its role in insecticide resistance in Anopheles gambiae is still unknown. One of challenges in studying cuticular resistance is to isolate the mechanism from target-site resistance and/or metabolic resistance. In this study, we isolated and selected with pyrethroids an Anopheles gambiae strain without target site mutations from the Côte d’Ivoire and investigated the relative contributions of cuticular and metabolism-based resistance in the phenotype.
Methods
Mosquito strains
The resistant strain of Anopheles gambiae s.s used in this study, termed MRS without kdr and Ace1 mutations, came from a field resistant population that originated from the M’be strain in Côte d’Ivoire (West Africa) harbouring the L1014F kdr mutation as well as metabolic resistance. The target site mutations, i.e., kdr (L1014F, L1014S, N1575Y) and Ace1 (G119S), were eliminated in MRS in order to exclude their contribution to the phenotype. M’be was selected as it has a lower frequency (0.33) in the kdr allele30. To isolate and select MRS, the resistant strain from M’be was crossbred once with the laboratory susceptible reference strain Kisumu. The males from this first progeny (G1) were backcrossed with Kisumu females for a second generation of progeny (G2). The males from G2 were then coupled with Kisumu females so that at the third generation only the progeny of couples of which the male was free of target-site mutations were maintained. This third generation, free of target-site mutations, was termed MRS. The resistance of MRS was maintained in the laboratory by performing adult selection using deltamethrin-impregnated (0.05%) papers according to the WHO test tube protocol31 for more than 20 generations. The strain was regularly genotyped by real-time polymerase chain reaction (qPCR) to confirm the absence of target-site mutations.
Bioassays
The conventional WHO bioassay31 was used to test the susceptibility of MRS to six insecticides at diagnostic concentrations: two pyrethroids, deltamethrin (0.05%) and permethrin (0.75%); one pseudo-pyrethroid, etofenprox (0.50%); one carbamate, bendiocarb (0.10%); one organophosphate, fenitrothion (1%); and one organochlorine, DDT (4%). At 2–5 days old, MRS females were exposed to impregnated papers for 1 hour according to the standard WHO bioassay31. Susceptible Kisumu females were used to verify the quality of the impregnated papers. The number of mosquitoes knocked down during exposure was regularly recorded to determine KdT50, the time point at which 50% of the mosquitoes are knocked down, and KdT95, the time point at which 95% of the mosquitoes are knocked down. After 1 hour of exposure, the mosquitoes were transferred to holding tubes without insecticide and fed with a 10% honey solution. Mortalities were recorded 24 h post-exposure. For each test, a batch of 25 MRS females were also exposed to untreated paper as a negative control group, and Abbott’s formula was used to correct the mortality in the treated group when control mortalities exceeded 10%. According to the resistance cut-offs established by the WHO, mortality ≤90% indicates a population resistant to the insecticide, >97% a susceptible population, and 90–97% suspected resistance. After 24 h, control MRS were individually stored at −80 °C for biochemical analysis. Other batches of unexposed MRS from the same population and the 24 h survivors were preserved in RNA extraction buffer (NucleoSpin, MACHEREY – NAGEL) and kept at −80 °C for transcriptome analysis.
Bioassays were also conducted after pre-exposure of mosquitoes to the synergist piperonyl butoxide (PBO), an inhibitor of cytochrome P450 monooxygenase (CYP450). A significant increase in the 24 h mortality rate after PBO exposure before insecticide would indicate the contribution of CYP450 to insecticide resistance. The decrease of resistance level when compared to a susceptible reference strain tested under the same conditions allows to estimate the relative contribution of CYP450 to the overall resistance. To this end, females from Kisumu and MRS strains were exposed to three different treatments in WHO test tubes: 1 h with PBO (4%), 1 h with deltamethrin (0.05%), and 1 h with PBO (4%) followed by 1 h with deltamethrin (0.05%). The number of mosquitoes knocked down during each treatment was recorded at 5, 10, 15 and 20 minutes, then every 10 minutes until 1 h for KdT determination.
Biochemical assays
Cytochrome P450 monooxygenase levels, and GST and NSE activity were determined using, respectively, tetramethylbenzidine, chlorodinitrobenzene, and α- and β-napthyl acetate substrates, as described in the WHO manual32. Absorbances were read by spectrophotometry using a TECAN SunriseTM microplate absorbance reader. Data layout was managed with the Magellan software version 7.0 coupled with the spectrophotometer. Forty individual MRS females, unexposed to insecticides and previously kept at −80 °C, and thirty-five Kisumu females were used as reference susceptible strain. To avoid any plate effect, females of MRS and Kisumu were assayed on the same 96-well plates. Mosquitoes having replicates with a variation coefficient higher than 15% were discarded in order to avoid differences arising from possible manual errors. None of mosquitoes was ever fed with blood meal.
qPCR analysis of selected transcripts
Six genes from three detoxification enzyme families (Cytochrome P450 monooxygenase, NSE, GST) were selected from a literature review of microarray and/or functional validation studies33–37. Selection was based on two genes by each detoxification enzyme family (Table 3, Supplementary Information). Similarly, twelve genes were also selected from the same studies because of their involvement in cuticle formation (Table 3, Supplementary Information). The expression of these genes was determined by quantitative real-time polymerase chain reaction (qRT-PCR) in females of Kisumu, unexposed MRS and MRS insecticide survivors. All qPCRs were run on a Roche Light Cycler® 480 using SYBR Green.
Permeability of the MRS cuticle to insecticide
Permeability of MRS and Kisumu cuticles to deltamethrin was tested by topical application of a 10-times lethal concentration 95 (D10LC95 = 1.06 ng/mosquito) of the insecticide. LC95 was determined with the susceptible reference strain Kisumu. To overcome deltamethrin degradation by P450 oxidases in resistant bodies after penetration, mosquitoes were exposed to impregnated papers of PBO 4% for 1 h before deltamethrin application. Dicyclohexyl phthalate (DP), a stable chemical compound with a similar structure to deltamethrin, was applied at the same dose as D10LC95 as a control. D10LC95 and DP topical solutions were prepared in a 0.2 µl volume of acetone. Three biological replicate pools of forty 3–5 day old females, non-blood fed, were selected from both strains for the experiment. The mosquitoes were put to sleep with carbon dioxide (CO2) and kept anaesthetised on a cold plate. The 6 legs of each mosquito were joined together on a glass slide under a binocular viewer (Leica Wild Binocular) and 0.2 µl of D10LC95 or DP was dropped on the tarsi. All topical applications were carried out under the binocular viewer to avoid mistakes. The treated mosquitoes were picked up by the proboscis and put back on the cold plate for 15 minutes (Kisumu KdT50 for deltamethrin). All 6 legs were then completely torn from the body. The rest of the bodies were pooled in 15 ml labelled Falcon tubes and stored at −20 °C for gas chromatography analysis. The mosquito tarsi were chosen for topical application instead of the thorax because the legs can be removed at any time to stop contact with the insecticide and to avoid contamination of samples by deltamethrin residue on the surface of the insects.
Gas chromatography analysis
All Falcon tubes with mosquito bodies previously stored at −20 °C were frozen in liquid nitrogen for 20 seconds and finely ground glass was added to the contents. 100 µl of a mixture of alpha cypermethrin and lambda-cyhalothrin solutions (internal standards, Sigma-Aldrich) and 900 µl of a 90/10 isooctane/toluene mixture were added (Sigma Aldrich). The mosquito bodies were submitted to extraction by oscillo-vibration (25 movements per second) for 10 minutes. They were then frozen again in liquid nitrogen for 10 seconds, after which further extraction was performed by oscillo-vibration (25 movements per second) for 10 minutes. The extract was filtered with a 0.2 μm nylon filter before the deltamethrin, PBO and DP analyses (Supplementary Information).
Fixation for microscopic analysis of MRS cuticles
All the mosquitoes subjected to microscopic analysis had the same body size as measured by wing size38 as a proxy for selection. Two batches of 10 MRS females and two batches of 10 Kisumu females (3–5 days old, not blood fed) were selected for the experiment. They were very carefully transferred to the bottom of a 1.5 ml Eppendorf tube, which was then completely filled with a fixative solution consisting of 2% glutaraldehyde, 2% PFA in a 0.1 M sodium cacodylate buffer (SCB).
Transmission Electron microscopy
The electron microscopy protocol was the same as that described by Balabanidou20. From observation of the pictures we measured the whole cuticle thickness from the inner layer (endocuticle) to the external layer (exocuticle) with Image J 1.49. The epicuticle layer was sanded down during multiple hexane washes and consequently did not appear on the pictures. The thicknesses of the different layers (endocuticle, mesocuticle and exocuticle) were also measured separately where picture sharpness was sufficient to distinguish between them. Three to five different partition pictures were taken per leg cross-section.
Statistical analysis
Johnson script39 basically set for LC50 and LC95 determination was modified to R script BioAssay 6.2 (http://www.isem.univmontp2.fr/recherche/equipes/evolution-vecteurs-adaptation-et-symbioses/personnel/labbe-pierrick/) for KdT50 and KdT95 determination with a 95% confidence interval. The script created a generalized linear model (GLM) with binomial errors in the response variable. A probit link was then fitted to the data where the probit knockdown was a function of the logarithm of times for each strain. This allowed RR50 and RR95 to be computed and comparisons between two or more populations to be carried out. The levels of enzymatic activity in Kisumu and MRS were compared using a Mann-Whitney test. Relative expressions of target genes were determined according to the ΔΔCt methods described by Schmittgen & Livak40 and implemented in the Light Cycler® 480. A Mann-Whitney test was also used to compare the fold changes between the MRS unexposed to insecticides and MRS survivors. The difference between the cuticle thicknesses of Kisumu and MRS, and the penetration of deltamethrin and DP were analysed using a Wilcoxon rank sum test. All statistical analyses were performed with the R statistical software41 and differences were considered significant with a p-value < 0.05. The graphs were drawn with the ggplot2 package42 implemented in R and GraphPad Prism43 for Windows.
Results
Isolation and characterisation of non-target-site pyrethroid resistance
The resistant strain named MRS was derived from 52 couples (out of 102) of which both parents were free of kdr and Ace1 alleles. MRS mosquitoes were exposed to diagnostic concentrations of six insecticides (2 pyrethroids, 1 pseudo-pyrethroid,1 organochlorine, 1 organophosphate, 1 carbamate) using WHO test kits (Table 1). Mortalities in Kisumu females were always 100%. According to WHO criteria based on 24 h mortality31, MRS was resistant to deltamethrin (60.8%), etofenprox (47.0%) and DDT (73.8%), suspected resistant to permethrin (91.9%), and susceptible to fenitrothion (100%) and bendiocarb (100%). Knockdown times in the MRS strain were significantly greater with DDT, the pyrethroids and the pseudo-pyrethroid (Table 1). The use of PBO as a P450 inhibitor did not reduce the knockdown times indicating that these detoxification enzymes probably have a limited role in this effect. However, the 24 h mortality of MRS pre-exposed to PBO was more than 94% suggesting that CYP could act later, after penetration, to metabolise deltamethrin.
Table 1.
Insecticide | Strain | N | KdT50 (CI95) | KdT95 (CI95) | Slope (SE) | RR50 (CI95) | RR95 (CI95) | 24 h Mortality (CI95) |
---|---|---|---|---|---|---|---|---|
Permethrin 0.75% | MRS | 96 | 29.4 (27.5–31.3) | 73.3 (65.3–84.8) | 4.1 (0.3) | 2.1 (1.1–4.1) | 2.9 (1.1–7.5) | 91.9 (85.6–97.0)% |
Kisumu | 22 | 14.2 (12.4–18) | 25.7 (21.8–34.2) | 6.4 (1.1) | — | — | 100% | |
Etofenprox 0.50% | MRS | 93 | 66.7 (60.3–77.7) | 151.3 (117.9–228.3) | 4.6 (0.6) | 3.4 (1.8–6.5) | 4.7 (1.6–13.6) | 47.0 (36.9–57.9)% |
Kisumu | 25 | 19.4 (17.5–21.4) | 32.3 (28.1–40.4) | 7.4 (1.1) | — | — | 100% | |
DDT 4% | MRS | 96 | 53.2 (49.7–57.8) | 114.7 (97.1–146) | 4.9 (0.5) | 3 (1.5–5.9) | 4.4 (1.3–14.4) | 73.8 (64.0–82.4)% |
Kisumu | 25 | 17.6 (16.1–19.2) | 26.1 (13.1–33.1) | 9.6 (1.7) | — | — | 100% | |
Bendiocarb 0.1% | MRS | 95 | 24.1 (22.6–25.7) | 42.5 (38.7–47.8) | 6.7 (0.5) | 2.4 (0.8–7.3) | 2.9 (0.7–13.1) | 100% |
Kisumu | 25 | 9.9 (8.6–10.9) | 14.4 (12.7–19.2) | 10.2 (2.5) | — | — | 100% | |
Fenitrothion 1% | MRS | 98 | no Kd | no Kd | NA | NA | NA | 100% |
Kisumu | 23 | no Kd | no Kd | NA | NA | NA | 100% | |
Deltamethrin 0.05% | MRS | 94 | 35.4 (31.9–39.3) | 74.3 (62.5–97.0) | 5.1 (0.5) | 2.3 (1.4–3.8) | 2.7 (1.3–5.7) | 60.8 (50.0–70.6)% |
Kisumu | 24 | 15.3 (14.1–16.5) | 27.4 (24.4–32.2) | 6.5 (0.7) | — | — | 100% | |
PBO 4% + Deltamethrin 0.05% | MRS | 53 | 23.2 (20.9–25.7) | 34.8 (30.5–43.7) | 9.4 (1.2) | 2.5 (1.2–5.2) | 2.1 (0.8–5.2) | 94.3 (84.3–98.8)% |
Kisumu | 52 | 9.3 (6.3–11.8) | 16.9 (12.9–35.2) | 6.3 (1.5) | — | — | 100% |
The 50% and 95% knockdown times (KdT) of MRS and Kisumu with associated 95% confidence intervals (CI95). The resistance ratios (RR) 50% and 95% are those of MRS KdT to Kisumu KdT. KdTs were determined by glm with binomial error and probit link function. SE is the standard error associated with the slope of the model, N the number of female adults tested. Significant resistance to the knockdown effect in MRS compared with Kisumu is shown in bold and indicated by an RR > 1 with its corresponding CI95, which excluded 1. 24 h mortality <90% indicates resistance to the corresponding insecticide, 90 to 97% suspected resistance, >97% susceptibility31.
Detoxification enzyme activity in MRS resistance
Biochemical analysis was conducted to evidence enzyme families involved in MRS resistance to insecticides. The results showed a significant increase in the amount of cytochrome P450 monooxygenase in MRS (0.61 nmol P450 equivalent unit/mg protein) compared with Kisumu (0.42) (W = 387, p < 0.001, Fig. 1). Beta esterase activity was significantly lower in MRS (0.14 μmol beta naphthol/min/mg protein) than in Kisumu (0.16) (W = 970, p = 0.003, Fig. 1). No significant differences were detected in alpha esterases (W = 597, p = 0.28) and GST (W = 571.5, p = 0.17). These biochemical results indicate a possible role of cytochrome P450 in the resistance phenotype of the MRS strain, in line with the bioassay results.
Levels of selected cytochrome P450 and cuticle gene transcripts in MRS
The relative expressions of these genes were determined in MRS unexposed to insecticides (C), MRS 24 h insecticide survivors (R) and the susceptible Kisumu strain (S). A side-by-side comparison (R-C, R-S, C-S) of these relative gene expressions was performed for each insecticide. Only significant (p < 0.05) fold changes (Fc > 1) are discussed in this section.
Specifically, three CYP (CYP6M2, CYP4G16, CYP4G17), two GST (GSTe2, GSTe4) and two cuticle (CPAP3-E, CPLCX1) genes were overexpressed in MRS survivors of the pyrethroids and DDT. The Fc of CYP6M2 ranged from 2.7 to 6.0, CYP4G 1.9 to 4.1 and GST 1.5 to 5.6, while the Fc of both cuticle genes ranged from 1.7 to 2.4 (Fig. 2). In addition, one metabolic (CYP6P3) and four cuticle (CPLCG3, CPR124, CPR129, CPR127) genes were constitutively overexpressed in MRS resistance to insecticides, CYP6P3 having an Fc of 17.8 and CPLCG3 an Fc of 4.4.
Reduced deltamethrin penetration of the MRS cuticle
The results showed that the MRS cuticle significantly reduced (W = 36, p = 0.002) deltamethrin penetration inside the body. Mean deltamethrin content was 0.007 ng/MRS mosquito body, but 0.048 ng/Kisumu mosquito body (Table 2). Where mosquitoes were exposed to PBO before deltamethrin application, mean deltamethrin content was 0.010 ng/MRS body, significant lower (W = 36, p = 0.002) than in Kisumu, which was 0.066 ng/body. DP penetration was also significantly reduced (W = 36, p = 0.004) by the MRS cuticle. Mean DP content was 0.006 ng/MRS body, but 0.073 ng/Kisumu body (Table 2). In the case of pre-exposure to PBO, the amounts of deltamethrin were substantially higher than in the other experimental conditions, suggesting that PBO either accelerated deltamethrin penetration in the insects or promptly inhibited the action of enzymes metabolising deltamethrin.
Table 2.
Treatment | Sample bodies | ng/mosquito (SD) | p-value (Wilcoxon rank) |
---|---|---|---|
Deltamethrin | Kisumu | 0.048 (0.026) | 0.002 (W = 36) |
MRS | 0.007 (0.001) | ||
PBO + Deltamethrin | Kisumu | 0.066 (0.136) | 0.006 (W = 36) |
MRS | 0.010 (0.023) | ||
Dicyclohexyl phthalate | Kisumu | 0.073 (0.039) | 0.004 (W = 36) |
MRS | 0.006 (0.002) |
Three biological replicate pools of 40 mosquitoes per treatment were used for chemical analysis. Deltamethrin was determined using Gas Chromatography coupled to an Electron Capture Detector (GC-ECD), PBO and dicyclohexyl phthalate by Gas Chromatography with Mass Spectrometry (GC-MS). Dicyclohexyl phthalate was used as control since it has a similar structure to deltamethrin and is not metabolised by the insects. The figures represent the means with standard deviations (SD) of the chemical contents. ng = nanogram. p-value < 0.05 indicates a significant difference according to the Wilcoxon rank sum test.
Enriched cuticle thickness in MRS
The mean thickness of the whole MRS cuticle (1.85 ± 0.21 µm) was significantly greater (W = 1197, p = 0.0001) than that of Kisumu (1.53 ± 0.11 µm) (Figs 3 and 4). It is worth noting that all the MRS procuticle layers (exo, meso and endo) were significantly thicker than the corresponding Kisumu layers (Figs 3 and 4).
Discussion
MRS showed resistance to pyrethroid and pseudo-pyrethroid despite the absence of the knockdown resistance (kdr) mutation, a point mutation that confers cross-resistance to pyrethroid and DDT44. As MRS was free of kdr, the knockdown time ratios were not expected to significantly increase where only metabolic resistance is involved45, 46. In our study, the knockdown time ratio of MRS was not change after the pre-exposure to the CYP450 inhibitor PBO and was higher than 2. It means that MRS was more than twice resistant to the knockdown effect of deltamethrin compared to the susceptible reference strain Kisumu, even after the use of PBO. The similarity of knockdown times with or without PBO confirmed that CYP450 did not protect MRS against the knockdown but rather against lethal effect of deltamethrin, a view supported by the significant increase in the 24 h mortality rate after the use of PBO. The increase in knockdown times, in absence of the kdr mutation with the non-involvement of CYP450, might be due to slower penetration of the MRS cuticle by the insecticide, thereby delaying transport to the nervous system.
Interesting results emerged from experiments on deltamethrin penetration, which support the hypothesis that cuticular mechanisms are involved in MRS resistance and have a direct impact on insecticide penetration. Pyrethroid insecticides for mosquito control in public health act by contact and, regardless of the molecule structure, they need to penetrate the insect to reach their target, the cuticle being the first barrier to penetration. The results show that the MRS cuticle significantly reduced deltamethrin penetration, and test with dicyclohexyl phthalate confirmed this. Topical application of deltamethrin to mosquito tarsi instead of the thorax has two advantages: firstly, it better mimics real contact in natural conditions because mosquitoes use their tarsi to land on impregnated supports (LLINs, sprayed walls, etc.); secondly, whole mosquito legs can be removed from the body to prevent deltamethrin penetration at a given time and to avoid contamination of samples by deltamethrin remaining on the surface of the insects. In addition, gas chromatography identified only those deltamethrin molecules that crossed the cuticle and were present inside the mosquito body. This is the first time that such topical applications have been used with cold techniques. A direct consequence of lower insecticide penetration could be greater efficacy of metabolic processes.
The biochemical results also indicated an association between higher cytochrome P450s and MRS resistance to pyrethroids, and showed that neither non-specific esterase nor GST activities were significantly higher in MRS. Analysis of selected gene transcripts by qPCR showed that CYP6M2 and CYP6P3 were constitutively upregulated in MRS. Both genes are regularly found overexpressed and associated with pyrethroid resistance in wild Anopheles gambiae populations from West Africa24, 47–49. CYP6M2 can metabolise pyrethroids and insecticides from other families, such as DDT, in vitro 50, 51 and CYP6P3 is also known to metabolise pyrethroids as well as bendiocarb in vitro 37, 52. Transcriptome analysis confirmed the biochemical results except for GST, since GSTe2 was upregulated in MRS even though regulation was lower than for CYP6. Biochemical analysis is not always reliable for measuring GST activity in Anopheles gambiae, since specific activities with the substrate chlorodinitrobenzene are lower for epsilon GSTs like GSTe2 than those reported for other insect delta class GSTs53. An interesting result was the overexpression of CPAP3-E and CYP4G16 in survivors of deltamethrin exposure compared to unexposed mosquitoes. The potential ortholog of CYP4G16 in Drosophila melanogaster, CYP4G1, catalyses the final step of cuticular hydrocarbon biosynthesis54, and CYP4G16 has also been found to be overexpressed in resistant Anopheles coluzzii 24. A recent study on resistant Anopheles gambiae showed that CYP4G16 was highly abundant in the oenocytes, the insect cell type thought to secrete hydrocarbons20. Overexpression of CYP4G16 in our study might be associated with cuticle reinforcement in resistance. CPAP3-E is one of seven members of the CPAP3 family of proteins (cuticular proteins analogous to peritrophins with three chitin binding domains) in Anopheles gambiae 55. CPAP3 function in Anopheles gambiae is unknown but in Drosophila melanogaster there is one orthologue of CPAP3-E (obstructor-E). In Drosophila melanogaster, obstructor-E regulates the arrangement of chitin and directs the formation of supracellular ridges on the larval cuticle. It affects the body shape by controlling the mechanic property of the exoskeleton56. In this study, CPAP3-E was also found to be overexpressed in survivors of DDT but not in survivors of permethrin and etofenprox exposure. These differences in the expression of CPAP3-E according to insecticide suggest a role in resistance mechanism in MRS and may be specific to some insecticide molecules. It is important to specify that CPAP3s are present in all insect orders57. Altogether, they play essential roles in the structure of insect cuticle. Moreover, CPLCX1 (unclassified cuticular protein) was also found to be overexpressed in survivors of DDT and permethrin, suggesting that it is implicated in MRS resistance. It was identified from proteomic analysis of Anopheles gambiae cast cuticles, but its function is unknown58. The fact that it was overexpressed in survivors of deltamethrin exposure suggests it is potentially involved in resistance. Apart from CPAP3-E and CPLCX1, the other four cuticle genes, CPLCG3, CPR124, CPR129 and CPR127, were constitutively overexpressed in MRS and probably contributed to cuticular resistance. In a previous study, CPLCG3 was twice overexpressed in pyrethroid-resistant compared to pyrethroid- susceptible Anopheles gambiae 59, 60. The product of this gene is a structural protein of the endocuticle layer participating in cuticle thickness61. Further investigation, using RNA interference, for example, should reveal their relative contributions to resistance phenotypes.
The cuticle is a stack of layers consisting of different proteins and chitin. As cuticle genes were overexpressed in MRS, the expectation would be a thickening of the whole cuticle, which was confirmed by microscopic analysis that showed it to be significantly thicker than that of the susceptible strain. Furthermore, every procuticle layer in MRS was thicker than in Kisumu and the outer procuticle layer was the thickest in both strains. Fluorescence in situ hybridization would allow overexpressed proteins from cuticle genes to be localised to make sure they belonged to at least one of three cuticle layers. None of the cuticular proteins necessarily belongs to the cuticle since some of them have been found in Johnston’s organ and the corneal lens of Anopheles gambiae using EM immunolocalization62. In addition, some cuticle proteins with chitin-binding domain 2 belong to the procuticle and also to the midgut chitinous peritrophic matrix in Drosophila melanogaster 63.
The molecular and physiological experiments carried out in this study provide strong evidence of cuticle involvement in resistance mechanisms in Anopheles gambiae MRS. MRS resistance to deltamethrin was both metabolic-based and cuticular, but it was difficult to separate the two mechanisms, which would enable their relative contributions to resistance to be determined. The cuticular mechanism mainly acts in concert with CYPs, but not all the actors involved are known. Further whole transcriptome analyses, such as RNA sequencing and RNA interference, would be useful to identify and select other cuticle gene candidates involved in cuticular resistance.
Electronic supplementary material
Acknowledgements
G.A.Y. was supported by the Mediterranean Infection Foundation. We thank the LabEx CeMEB for supporting G.A.Y.’s Scientific Immersion at Heraklion, and INFRAVEC2 for funding the cuticular analysis. Very special thanks go to Philippe Clair for excellent advice on qPCR, the Treilles foundation:« La fondation des treilles, créée par Anne Gruner Schlumberger, a notamment pour vocation d’ouvrir et de nourrir le dialogue entre les sciences et les arts afin de faire progresser la création et la recherche contemporaines. Elle accueille également des chercheurs et des écrivains dans le domaine des Treilles (Var) www.les-treilles.com ». V.B. was supported by a Scholarship for Strengthening Post-Doctoral Research from The Greek State Scholarships Foundation (IKY) within the framework of the Operational Programme “Human Resources Development Program, Education and Life-Long Learning”. This project is co-financed by the European Social Fund-ESF and the Greek government.
Author Contributions
G.A.Y., S.C., M.R. and F.C. conceived the study and designed the experiments; C.G. and G.A.Y. oversaw mosquito breeding in the insectarium; V.B. and G.A.Y. carried out the microscopic analyses of the mosquito cuticles; N.G.A.M. and O.P. performed the quantitative analyses of the insecticides and synergists in the mosquito bodies; G.A.Y., S.C., F.C. and J.V. analysed the data, interpreted the results and wrote the manuscript.
Competing Interests
The authors declare that they have no competing interests.
Footnotes
A correction to this article is available online at https://doi.org/10.1038/s41598-018-24094-8.
Electronic supplementary material
Supplementary information accompanies this paper at doi:10.1038/s41598-017-11357-z
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References
- 1.Raymond M, Heckel D, Scott J. Interactions Between Pesticide Genes - Model and Experiment. Genetics. 1989;123:543–551. doi: 10.1093/genetics/123.3.543. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Costa, L., Giordano, G., Guizzetti, M. & Vitalone, A. Neurotoxicity of pesticides: a brief review. Front Biosci (2008). [DOI] [PubMed]
- 3.WHO|World Malaria Report 2016. WHO Available at: http://www.who.int/malaria/publications/world-malaria-report-2016/report/en/ (Accessed: 27th April 2017).
- 4.Yahouédo GA, et al. Dynamics of pyrethroid resistance in malaria vectors in southern Benin following a large scale implementation of vector control interventions. Parasit. Vectors. 2016;9:385. doi: 10.1186/s13071-016-1661-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Foster GM, et al. Spatial and Temporal Trends in Insecticide Resistance among Malaria Vectors in Chad Highlight the Importance of Continual Monitoring. PLOS ONE. 2016;11:e0155746. doi: 10.1371/journal.pone.0155746. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Ranson H, et al. Pyrethroid resistance in African anopheline mosquitoes: what are the implications for malaria control? Trends Parasitol. 2011;27:91–98. doi: 10.1016/j.pt.2010.08.004. [DOI] [PubMed] [Google Scholar]
- 7.Corbel, V. & N’Guessan, R. Distribution, mechanisms, impact and management of insecticide resistance in malaria vectors: a pragmatic review. Distrib. Mech. Impact Manag. Insectic. Resist. Malar. Vectors Pragmatic Rev. 579–633 (2013).
- 8.Namountougou, M. et al. Multiple Insecticide Resistance in Anopheles gambiae s.l. Populations from Burkina Faso, West Africa. PLoS ONE7 (2012). [DOI] [PMC free article] [PubMed]
- 9.Etang J, et al. Insecticide Susceptibility Status of Anopheles gambiae s.l. (Diptera: Culicidae) in the Republic of Cameroon. J. Med. Entomol. 2003;40:491–497. doi: 10.1603/0022-2585-40.4.491. [DOI] [PubMed] [Google Scholar]
- 10.Vulule JM, et al. Elevated oxidase and esterase levels associated with permethrin tolerance in Anopheles gambiae from Kenyan villages using permethrin-impregnated nets. Med. Vet. Entomol. 1999;13:239–244. doi: 10.1046/j.1365-2915.1999.00177.x. [DOI] [PubMed] [Google Scholar]
- 11.Liu, N. Insecticide Resistance in Mosquitoes: Impact, Mechanisms, and Research Directions. in Annual Review of Entomology, Vol 60 (ed. Berenbaum, M. R.) 60, 537–559 (Annual Reviews, 2015). [DOI] [PubMed]
- 12.Chandre F, et al. Modifications of pyrethroid effects associated with kdr mutation in Anopheles gambiae. Med. Vet. Entomol. 2000;14:81–88. doi: 10.1046/j.1365-2915.2000.00212.x. [DOI] [PubMed] [Google Scholar]
- 13.Sougoufara S, et al. Biting by Anopheles funestus in broad daylight after use of long-lasting insecticidal nets: a new challenge to malaria elimination. Malar. J. 2014;13:125. doi: 10.1186/1475-2875-13-125. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Moiroux N, 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. doi: 10.1093/infdis/jis565. [DOI] [PubMed] [Google Scholar]
- 15.Sokhna C, Ndiath MO, Rogier C. The changes in mosquito vector behaviour and the emerging resistance to insecticides will challenge the decline of malaria. Clin. Microbiol. Infect. 2013;19:902–907. doi: 10.1111/1469-0691.12314. [DOI] [PubMed] [Google Scholar]
- 16.Lin Y, Jin T, Zeng L, Lu Y. Cuticular penetration of β-cypermethrin in insecticide-susceptible and resistant strains of Bactrocera dorsalis. Pestic. Biochem. Physiol. 2012;103:189–193. doi: 10.1016/j.pestbp.2012.05.002. [DOI] [Google Scholar]
- 17.Ahmad M, Denholm I, Bromilow RH. Delayed cuticular penetration and enhanced metabolism of deltamethrin in pyrethroid-resistant strains of Helicoverpa armigera from China and Pakistan. Pest Manag. Sci. 2006;62:805–810. doi: 10.1002/ps.1225. [DOI] [PubMed] [Google Scholar]
- 18.Koganemaru R, Miller DM, Adelman ZN. Robust cuticular penetration resistance in the common bed bug (Cimex lectularius L.) correlates with increased steady-state transcript levels of CPR-type cuticle protein genes. Pestic. Biochem. Physiol. 2013;106:190–197. doi: 10.1016/j.pestbp.2013.01.001. [DOI] [Google Scholar]
- 19.Wood OR, Hanrahan S, Coetzee M, Koekemoer LL, Brooke BD. Cuticle thickening associated with pyrethroid resistance in the major malaria vector Anopheles funestus. Parasit. Vectors. 2010;3:67. doi: 10.1186/1756-3305-3-67. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Balabanidou V, et al. Cytochrome P450 associated with insecticide resistance catalyzes cuticular hydrocarbon production in Anopheles gambiae. Proc. Natl. Acad. Sci. 2016;113:9268–9273. doi: 10.1073/pnas.1608295113. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Bonizzoni M, et al. Comparative Transcriptome Analyses of Deltamethrin-Resistant and -Susceptible Anopheles gambiae Mosquitoes from Kenya by RNA-Seq. PLOS ONE. 2012;7:e44607. doi: 10.1371/journal.pone.0044607. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Jones CM, et al. The dynamics of pyrethroid resistance in Anopheles arabiensis from Zanzibar and an assessment of the underlying genetic basis. Parasit. Vectors. 2013;6:343. doi: 10.1186/1756-3305-6-343. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Fang F, et al. The cuticle proteins: a putative role for deltamethrin resistance in Culex pipiens pallens. Parasitol. Res. 2015;114:4421–4429. doi: 10.1007/s00436-015-4683-9. [DOI] [PubMed] [Google Scholar]
- 24.Toé KH, N’Falé S, Dabiré RK, Ranson H, Jones CM. The recent escalation in strength of pyrethroid resistance in Anopheles coluzzi in West Africa is linked to increased expression of multiple gene families. BMC Genomics. 2015;16:146. doi: 10.1186/s12864-015-1342-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Gibbs AG. Water-proofing properties of cuticular lipids. Am. Zool. 1998;38:471–482. doi: 10.1093/icb/38.3.471. [DOI] [Google Scholar]
- 26.Gibbs AG. Lipid melting and cuticular permeability: new insights into an old problem. J. Insect Physiol. 2002;48:391–400. doi: 10.1016/S0022-1910(02)00059-8. [DOI] [PubMed] [Google Scholar]
- 27.Benoit JB, Lopez-Martinez G, Phillips ZP, Patrick KR, Denlinger DL. Heat shock proteins contribute to mosquito dehydration tolerance. J. Insect Physiol. 2010;56:151–156. doi: 10.1016/j.jinsphys.2009.09.012. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Tillman JA, Seybold SJ, Jurenka RA, Blomquist GJ. Insect pheromones—an overview of biosynthesis and endocrine regulation. Insect Biochem. Mol. Biol. 1999;29:481–514. doi: 10.1016/S0965-1748(99)00016-8. [DOI] [PubMed] [Google Scholar]
- 29.Howard RW, Blomquist GJ. Ecological, Behavioral, and Biochemical Aspects of Insect Hydrocarbons. Annu. Rev. Entomol. 2005;50:371–393. doi: 10.1146/annurev.ento.50.071803.130359. [DOI] [PubMed] [Google Scholar]
- 30.Koffi AA, Alou LPA, Adja MA, Chandre F, Pennetier C. Insecticide resistance status of Anopheles gambiae ss population from M’Bé: a WHOPES-labelled experimental hut station, 10 years after the political crisis in Côte d’Ivoire. Malar. J. 2013;12:1–8. doi: 10.1186/1475-2875-12-151. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.WHO. Test procedures: for insecticide resistance monitoring in malaria vector mosquitoes. (World Health Organization, 2013).
- 32.Organization, W. H. Techniques to detect insecticide resistance mechanisms (field and laboratory manual) (1998).
- 33.Riveron JM, et al. Directionally selected cytochrome P450 alleles are driving the spread of pyrethroid resistance in the major malaria vector Anopheles funestus. Proc. Natl. Acad. Sci. 2013;110:252–257. doi: 10.1073/pnas.1216705110. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Thomsen EK, et al. Underpinning Sustainable Vector Control through Informed Insecticide Resistance Management. PLoS ONE. 2014;9:e99822. doi: 10.1371/journal.pone.0099822. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Abdalla H, et al. Insecticide resistance in Anopheles arabiensis in Sudan: temporal trends and underlying mechanisms. Parasit. Vectors. 2014;7:213. doi: 10.1186/1756-3305-7-213. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Nkya TE, et al. Insecticide resistance mechanisms associated with different environments in the malaria vector Anopheles gambiae: a case study in Tanzania. Malar. J. 2014;13:28. doi: 10.1186/1475-2875-13-28. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Edi CV, et al. CYP6 P450 Enzymes and ACE-1 Duplication Produce Extreme and Multiple Insecticide Resistance in the Malaria Mosquito Anopheles gambiae. PLOS Genet. 2014;10:e1004236. doi: 10.1371/journal.pgen.1004236. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Charlwood JD. Biological variation in Anopheles darlingi root. Mem. Inst. Oswaldo Cruz. 1996;91:391–398. doi: 10.1590/S0074-02761996000400001. [DOI] [PubMed] [Google Scholar]
- 39.Johnson RM, Dahlgren L, Siegfried BD, Ellis MD. Acaricide, Fungicide and Drug Interactions in Honey Bees (Apis mellifera) PLOS ONE. 2013;8:e54092. doi: 10.1371/journal.pone.0054092. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Schmittgen TD, Livak KJ. Analyzing real-time PCR data by the comparative CT method. Nat. Protoc. 2008;3:1101–1108. doi: 10.1038/nprot.2008.73. [DOI] [PubMed] [Google Scholar]
- 41.R: The R Project for Statistical Computing. Available at: https://www.r-project.org/ (Accessed: 15th April 2017).
- 42.Wickham, H. ggplot2: Elegant Graphics for Data Analysis. (Springer-Verlag New York, 2009).
- 43.GraphPad Prism. University of Massachusetts Medical School (2014). Available at: http://www.umassmed.edu/it/services/research-computing/graphpad-prism/ (Accessed: 15th April 2017).
- 44.Martinez-Torres D, et al. Molecular characterization of pyrethroid knockdown resistance (kdr) in the major malaria vector Anopheles gambiae s.s. Insect Mol Biol. 1998;7:179–84. doi: 10.1046/j.1365-2583.1998.72062.x. [DOI] [PubMed] [Google Scholar]
- 45.Etang J, et al. Spectrum of metabolic-based resistance to DDT and pyrethroids in Anopheles gambiae s.l. populations from Cameroon. J. Vector Ecol. 2007;32:123–133. doi: 10.3376/1081-1710(2007)32[123:SOMRTD]2.0.CO;2. [DOI] [PubMed] [Google Scholar]
- 46.Etang J, et al. When intensity of deltamethrin resistance in Anopheles gambiae s.l. leads to loss of Long Lasting Insecticidal Nets bio-efficacy: a case study in north Cameroon. Parasit. Vectors. 2016;9:132. doi: 10.1186/s13071-016-1420-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Djouaka, R. F. et al. Expression of the cytochrome P450s, CYP6P3 and CYP6M2 are significantly elevated in multiple pyrethroid resistant populations of Anopheles gambiae s.s. from Southern Benin and Nigeria. BMC Genomics9 (2008). [DOI] [PMC free article] [PubMed]
- 48.Müller P, Donnelly M, Ranson H. Transcription profiling of a recently colonised pyrethroid resistant Anopheles gambiae strain from Ghana. Transcr. Profiling Recent. Colon. Pyrethroid Resist. Anopheles Gamb. Strain Ghana. 2007 doi: 10.1186/1471-2164-8-36. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Djègbè I, et al. Molecular characterization of DDT resistance in Anopheles gambiae from Benin. Parasit. Vectors. 2014;7:409. doi: 10.1186/1756-3305-7-409. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Stevenson BJ, et al. Cytochrome P450 6M2 from the malaria vector Anopheles gambiae metabolizes pyrethroids: Sequential metabolism of deltamethrin revealed. Insect Biochem. Mol. Biol. 2011;41:492–502. doi: 10.1016/j.ibmb.2011.02.003. [DOI] [PubMed] [Google Scholar]
- 51.Mitchell SN, et al. Identification and validation of a gene causing cross-resistance between insecticide classes in Anopheles gambiae from Ghana. Proc. Natl. Acad. Sci. 2012;109:6147–6152. doi: 10.1073/pnas.1203452109. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Müller, P. et al. Field-caught permethrin-resistant Anopheles gambiae overexpress CYP6P3, a P450 that metabolises pyrethroids. Field-Caught Permethrin-Resist. Anopheles Gamb. Overexpress CYP6P3 P450 Metab. Pyrethroids4 (2008). [DOI] [PMC free article] [PubMed]
- 53.Ortelli F, Rossiter LC, Vontas J, Ranson H, Hemingway J. Heterologous expression of four glutathione transferase genes genetically linked to a major insecticide-resistance locus from the malaria vector Anopheles gambiae. Heterologous Expr. Four Glutathione Transferase Genes Genet. Linked Major Insectic.-Resist. Locus Malar. Vector Anopheles Gamb. 2003;373:957–963. doi: 10.1042/BJ20030169. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Qiu Y, et al. An insect-specific P450 oxidative decarbonylase for cuticular hydrocarbon biosynthesis. Proc. Natl. Acad. Sci. 2012;109:14858–14863. doi: 10.1073/pnas.1208650109. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Gilbert, L. I. Insect Molecular Biology and Biochemistry (Academic Press, 2012).
- 56.Tajiri R, Ogawa N, Fujiwara H, Kojima T. Mechanical Control of Whole Body Shape by a Single Cuticular Protein Obstructor-E in Drosophila melanogaster. PLOS Genet. 2017;13:e1006548. doi: 10.1371/journal.pgen.1006548. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Tetreau G, et al. Analysis of chitin-binding proteins from Manduca sexta provides new insights into evolution of peritrophin A-type chitin-binding domains in insects. Insect Biochem. Mol. Biol. 2015;62:127–141. doi: 10.1016/j.ibmb.2014.12.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.He N, et al. Proteomic analysis of cast cuticles from Anopheles gambiae by tandem mass spectrometry. Insect Biochem. Mol. Biol. 2007;37:135–146. doi: 10.1016/j.ibmb.2006.10.011. [DOI] [PubMed] [Google Scholar]
- 59.Vontas J, et al. Transcriptional analysis of insecticide resistance in Anopheles stephensi using cross-species microarray hybridization. Insect Mol. Biol. 2007;16:315–324. doi: 10.1111/j.1365-2583.2007.00728.x. [DOI] [PubMed] [Google Scholar]
- 60.Awolola TS, et al. Evidence of multiple pyrethroid resistance mechanisms in the malaria vector Anopheles gambiae sensu stricto from Nigeria. Trans. R. Soc. Trop. Med. Hyg. 2009 doi: 10.1016/j.trstmh.2008.08.021. [DOI] [PubMed] [Google Scholar]
- 61.Vannini L, Reed TW, Willis JH. Temporal and spatial expression of cuticular proteins of Anopheles gambiae implicated in insecticide resistance or differentiation of M/S incipient species. Temporal Spat. Expr. Cuticular Proteins Anopheles Gamb. Implicated Insectic. Resist. Differ. MS Incipient Species. 2014;7:24. doi: 10.1186/1756-3305-7-24. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.Vannini L, Willis JH. Immunolocalization of cuticular proteins in Johnston’s organ and the corneal lens of Anopheles gambiae. Arthropod Struct. Dev. 2016;45:519–535. doi: 10.1016/j.asd.2016.10.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.Behr M, Hoch M. Identification of the novel evolutionary conserved obstructor multigene family in invertebrates. FEBS Lett. 2005;579:6827–6833. doi: 10.1016/j.febslet.2005.11.021. [DOI] [PubMed] [Google Scholar]
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