Pyrethroids are increasingly used to block the transmission of diseases spread by Aedes aegypti such as dengue and yellow fever. However, insecticide resistance poses a serious threat, thus there is an urgent need to identify the genes and proteins associated with pyrethroid resistance in order to produce effective counter measures. In Ae. aegypti, overexpression of P450s such as the CYP9J32 gene have been linked with pyrethroid resistance. Our aim was to confirm the role of CYP9J32 and other P450s in insecticide metabolism in order to identify potential diagnostic resistance markers.
We have expressed CYP9J32 in Escherichia coli and show that the enzyme can metabolize the pyrethroids permethrin and deltamethrin. In addition, three other Ae. aegypti P450s (CYP9J24, CYP9J26, CYP9J28) were found capable of pyrethroid metabolism, albeit with lower activity. Both Ae. aegypti and Anopheles gambiae P450s (CYP's 6M2, 6Z2, 6P3) were screened against fluorogenic and luminescent substrates to identify potential diagnostic probes for P450 activity. Luciferin-PPXE was preferentially metabolised by the three major pyrethroid metabolisers (CYP9J32, CYP6M2 and CYP6P3), identifying a potential diagnostic substrate for these P450s.
P450s have been identified with the potential to confer pyrethroid resistance in Ae.aegypti. It is recommended that over expression of these enzymes should be monitored as indicators of resistance where pyrethroids are used.
Dengue fever, transmitted by Aedes mosquito vectors, is a major public health problem in over 100 countries. Prevention of the disease relies heavily on the use of insecticides such as pyrethroids. Unfortunately, mosquitoes are becoming resistant to these insecticides so it is urgent to identify the genes involved to develop an effective monitoring tool. In insects, P450s are critically involved in the metabolism and detoxification of insecticides. Several P450s have been found over expressed in pyrethroid resistant Ae. aegypti, although their functions are unknown. Here, we have expressed these enzymes in bacteria and examined their ability to metabolise pyrethroids and other compounds. From this we have identified a set of four P450s (CYPs 9J24, 9J26, 9J28 and 9J32) that are involved in pyrethroid metabolism, thus they may be considered to be key markers of resistance. To try and track their expression in field populations, we have developed diagnostic assays to monitor their activity, which will aid the development of new tools to monitor resistance and aid disease control.
Citation: Stevenson BJ, Pignatelli P, Nikou D, Paine MJI (2012) Pinpointing P450s Associated with Pyrethroid Metabolism in the Dengue Vector, Aedes aegypti: Developing New Tools to Combat Insecticide Resistance. PLoS Negl Trop Dis 6(3): e1595. doi:10.1371/journal.pntd.0001595
Editor: Rebekah J. Kent Crockett, Centers for Disease Control and Prevention, United States of America
Received: November 15, 2011; Accepted: February 21, 2012; Published: March 27, 2012
Copyright: © 2012 Stevenson et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Funding: The majority of work was funded by the Innovative Vector Control Consortium (www.IVCC.com). Travel funds were also supplied by The Royal Society, grant number QD92011Q1. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have declared that no competing interests exist.
Dengue fever, transmitted by Aedes mosquito vectors, is a major public health problem in over 100 countries with some 2.5 billion people at risk of the disease . Prevention of the disease depends in large part on vector control, which relies heavily on the use of insecticides. Interventions are targeted mainly at the larval stage (larvicides), water source reduction, or spraying with widespread use of organophosphates such as temephos and pyrethroids such as deltamethrin. Epidemiologically, however, the adult is the most important life stage, thus insecticide treated materials (ITMs) that target this stage have been tested and show promise in reducing household level dengue vector infestations , , . However, since pyrethroids are the only insecticides approved for use in ITMs , resistance to this insecticide class poses a serious threat to disease control; indeed, field-based resistance to pyrethroids is rapidly spreading across most parts of the world , , , . Understanding resistance mechanisms is essential for the development of new tools to sustain vector control interventions.
Insecticide resistance in disease vectors is generally attributed to increased rates of insecticide detoxification or mutations in the target sites . Due to the large numbers of potential detoxification genes in the mosquito genome (Aedes aegypti contains160 P450 genes ), detection of metabolism-based insecticide resistance is more complex than screening for specific mutations known to cause target site resistance. Nevertheless, advances in microarray and genome technology have facilitated transcriptional and genetic comparisons of susceptible and resistant populations. This has helped identify a number of P450s that are transcriptionally over-expressed in pyrethroid resistant populations of Ae. aegypti , , .
CYP9J32 in particular is a P450 that is found to be strongly linked to metabolic resistance as it is significantly over-expressed in pyrethroid resistant strains in widely separated populations in Vietnam , Mexico, Thailand  and Brazil (Strode, unpublished). Microarray screens being done in Liverpool (Barriami et al submitted) are continuing to indicate there may be elevated levels of several other P450s in pyrethroid resistant Ae.aegypti populations including CYP's 6CB1, 9J10, 9J19, 9J22, 9J24, 9J26 and 9J28. The key question is whether these P450s are capable of metabolising pyrethroids and thus functionally linked with insecticide resistance. If so they may be considered strong markers for existing or incipient metabolic resistance.
In general P450s are difficult to produce for in vitro analysis as they are membrane bound hemoproteins that require electrons from NADPH P450 oxidoreductase (CPR) and sometimes cytochrome b5 (b5) for catalysis . However, we recently optimised the expression of mosquito P450s in E. coli through co-expression of An. gambiae CPR (AgCPR) and the addition of exogenous A. gambiae cytochrome b5 (Agb5) , , , thus facilitating their functional characterization. We have therefore adopted this approach for the expression of CYP9J32 and the other Ae. aegypti P450s implicated in pyrethroid resistance to investigate their ability to metabolise and thereby contribute towards insecticide resistance in Ae. aegypti.
Materials and Methods
Oligonucleotides were synthesized by Sigma-Aldrich and enzymes for DNA manipulation were supplied by New England Biolabs. Isopropyl-ß-D-thio-galactopyranoside (IPTG), 5-aminolevulinic acid (ALA), and 3-[(3-cholamidopropyl)-dimethylammonio]-1-propanesulfonate(CHAPS) were supplied by Melford (UK). Insecticides were supplied by ChemService: 1,1,1-trichloro-2,2-di(4-chlorophenyl)ethane(DDT), (S)-α-cyano-3-phenoxybenzyl (1R,3R)-cis-2,2-dimethyl-3-(2,2-dibromovinyl)-cyclopropanecarboxylate(deltamethrin), N-[1-[(6-chloro-3-pyridyl)methyl]-4,5-dihydroimidazol-2-yl]nitramide(imidocloprid), 3-phenoxybenzyl (1R,S)-cis,trans-3-(2,2-dichlorovinyl)-2,2-dimethylcyclopropanecarboxylate(permethrin, mixture of four isomers), and 2-isopropoxyphenyl N-methylcarbamate (propoxur). (4S)-4,5-dihydro-2-(6 ′-hydroxy-2 ′-benzothiazolyl)-4-thiazolecarboxylic acid (Beetle luciferin) and proluciferin P450 substrates were supplied by Promega. HPLC solvents and ethanol were supplied by Fisher Scientific. Other chemicals were obtained from Sigma-Aldrich unless indicated otherwise.
Total RNA was extracted with either the Arcturus PicoPure Kit (Applied Biosystems) or TRI reagent (Sigma-Aldrich) from ten adult Ae. aegypti mosquitoes, either “Isla Mujeres”  or Merida strains. Complementary DNA was prepared using Superscript III (Invitrogen) with an oligo(dT)20 primer and used as a template for amplifying full-length genes with KOD DNA polymerase (Merk Chemicals). The gene-specific primers used in these high-fidelity PCRs were designed according to the Ae.aegypti genome sequence (Table 1). Amplified genes were ligated into pGEM T-easy (Promega) and sequenced. For expression, the ompA leader sequence (ompA), was engineered onto the amino-terminus to direct the P450 to the E. coli outer membrane during expression. The ompA-leader was inserted into the expression plasmid pCWmod1 and linked to the 5′-end of the P450 gene with codons for either: Ala-Pro by blunt ligation via an NaeI site, or Ala-Gly using cohesive ligation with the isoschizomer NgoMIV. Both linkers were tested with CYP6CB1 and no difference in expression quality or quantity was observed. All genes used cohesive ligation at the 3′-end and the restriction enzymes are indicated in Table 2. Another approach was used for CYP9J19 or CYP9J26: these genes were prepared with an ompA-Ala-Pro leader sequence by fusion PCR and cloned into pCW-ori+ using vector plasmid, pB13  via NdeI and EcoRI sites as previously described .
Table 1. Accession numbers for P450 clones.doi:10.1371/journal.pntd.0001595.t001
Table 2. Oligonucleotide sequences used for cloning Ae. aegypti P450 genes.doi:10.1371/journal.pntd.0001595.t002
Competent E. coli DH5α cells were co-transformed with the pCW- P450 plasmid and and pACYC-AgCPR . Transformants were selected on Luria-Bertani (LB) agar plates with 50 mg/L ampicilin (pCW-P450 selection) and 34 mg/L chloramphenicol (pACYC-AgCPR selection). After overnight growth at 37°C, a single colony was used to inoculate 5 mL of LB with antibiotics (50 mg/L ampicilin and 34 mg/L chloramphenicol) for overnight growth at 37°C with shaking. Two mL of this starter culture was then used to inoculate 200 mL of Terrific Broth with antibiotics that was then incubated at 37°C with orbital shaking. Once the cultures had reached early log-phase growth (A595 = 0.8–1.0), the culture was cooled to 25°C before adding 1 mM IPTG and 0.5 mM ALA (final concentrations) and continuing incubation at 25°C with orbital shaking. Initially, cultures were monitored daily to find the incubation time for optimal P450 expression: 6CB1, 1 day; 9J19, 2 days; 9J24, 3 days; 9J26, 2 days; 9J28, 2 days; 9J32, 1 day. P450 expression was estimated by resuspending whole cells in Spectrum Buffer (100 mM Tris-HCl, pH 7.4, 10 mM CHAPS, 20% (v/v) glycerol, 1 mM EDTA) , adding about 1 mg/mL of sodium dithionite as a reducing agent and recording the absorption spectra (500-400 nm) change after exposing to CO for 1 min. The peak height at 450 nm was used to calculate the P450 concentration .
After the optimal incubation period at 25°C, the cells were harvested and membranes prepared based on the method by Pritchard et al. . Immediately after membrane isolated by ultracentrifugation (1 hr at 180000 g) the sample was homogenized in TSE buffer (50 mM Tris-acetate, pH 7.6, 250 mM sucrose, 0.25 mM EDTA) using a Dounce homogenizer. Typically 1 mL of TSE was used per 200 mL of culture processed.
The membrane samples were analysed for P450 quality and content by 100-fold dilution in Spectrum Buffer and CO-difference spectroscopy . Cytochrome c reductase activity was used to measure CPR content , and protein content was estimated by Bradford assay. Samples were stored in aliquots at −70°C.
Anopheles gambiae cytochrome b5 was prepared as described previously  .
5 mM stock concentrations of insecticides were prepared in ethanol and diluted to 10× the assay concentration in 20% (v/v) ethanol immediately before each experiment to minimise precipitation of insecticide. Standard reactions contained a final ethanol concentration of 2% (v/v) with 10 µM insecticide, 0.1 µM P450, 0.8 µM cyt b5 in 200 mM Tris-HCl for pH 7.4, and NADPH regeneration components (1 mM glucose-6-phosphate (G6P), 0.25 mM MgCl2, 0.1 mM NADP+, and 1 U/mL glucose-6-phosphate dehydrogenase (G6PDH)). Reactions were started, after pre-incubation at 30°C for 5 min, by adding enzyme samples for a final reaction volume of 0.1 mL. These were incubated for a specified time at 30°C with 1200 rpm orbital shaking and quenched by adding 0.1 mL of acetonitrile. Samples were then incubated with shaking as before for an additional 10 min before centrifuging at 20000 g for 5 min. 0.15 mL of the supernatant was then transferred to HPLC vials, stored at room temperature and analyzed within 24 hrs. Reactions were performed in triplicate and a paired T-test of sample reactions (+NADPH) vs negative control (−NADPH) used for statistical measurements of substrate depletion.
For enzyme kinetic measurements the reaction rate in response to insecticide concentration was used to estimate Michaelis-Menton parameters. Reactions were performed, as described above, for 10 min with insecticide concentrations of: 0.25, 0.5, 1, 2, 4, 8, or 16 µM. The reactions were performed in parallel against a negative control (−NADPH) at 16 µM. Non-linear regression of results of three independent experiments were used for estimations of KM and kcat (SigmaPlot 11, Systat Software, Inc.).
100 µl of acetonitrile-quenched reaction supernatant was analyzed by reverse-phase HPLC with a 250 mm C18 column (Acclaim 120, Dionex) and a mobile phase consisting of 90% acetonitrile and 10% water. The system was run at 23°C with 1 mL/min flow rate. Reactions with with permethrin, deltamethrin or DDT, were monitored by absorbance at 232 nm, whereas imidacloprid or propoxur were monitored at 270 nm. The insecticide was quantified by peak integration (Chromeleon software, Dionex). Elution times were 9.2 min for deltamethrin and 10.1 min for cis- and 11.9 min for trans-permethrin stereoisomers. There was no significant difference in the change of area for the two permethrin peaks in these reactions, therefore permethrin concentration was measured as the total area under the two peaks.
Metabolism of probe substrates
Four resorufin ethers were tested as fluorogenic substrates and six luciferin-based substrates (P450-Glo, Promega) were tested against each of the Ae.aegypti P450 membrane preps. Three An. gambiae P450/CYP membrane preps were included for additional comparisons: CYP6Z2 , CYP6P3 , and CYP6M2 .
Each of these probe substrate were tested in reactions at 25°C buffered with 0.1 M KPi at pH 7.4 and included: 1 mM G6P, 0.25 mM MgCl2, 5 µM substrate, 0.1 or 0.2 µM P450, and cyt b5 at twice the P450 concentration. Positive reactions included 0.1 mM NADP and 1 U/mL GADPH whereas negative reactions had neither of these components and could not generate NADPH. Reactions were run in opaque white 96-well (flat-based) plates in triplicate. Luciferin (Promega) or resorufin standard curves were analyzed with each 96-well plate and used to calculate product formation rate.
Resorufin-producing reactions were monitored in a fluorescence plate-reader (Ex = 565 nm, Em = 585 nm) with 200 ms measurements recorded 24 s apart. The rate of resorufin molecules produced per P450 molecule per min (turnover) was determined by linear regression of the measurements between 2 min and 8 min after the reactions began. Luciferin reactions were run for 30 min before quenching as described by the P450-Glo kit . The endpoint signal was then measured by a luminescence plate-reader and the turnover calculated. Three replicates of positive and negative control reactions were run for each P450/substrate combination. Significant differences were determined by one-tailed T-tests (assuming equal variances).
Expression of Ae. aegypti P450s in E. coli
To produce a catalytically active monooxygenase complex CYP's 6CB1, 9J10, 9J19, 9J24, 9J26, 9J28 and 9J32 were co-expressed with An. gambiae CPR in E. coli membranes . As previously, An. gambiae b5 was also used to enhance P450 catalytic activity ; An. gambiae CPR and b5 are extremely similar to their Ae. aegypti homologues sharing 87% and 84% amino acid identity respectively, thus capable of reconstituting Aedes P450 activity. Apart from CYP9J10, which repeatedly failed to express functional enzyme in E. coli, all P450s produced the characteristic CO-reduced spectra indicative of active P450 (Figure 1). Apart from CYP6CB1 all P450s contained very low quantities of inactive P420 and high levels of P450 up to ~200 nmol/L for CYP9J19 (Table 3). CYP6CB1 produced relatively low quantities of P450 (~10 nmol/L; Table 3) and large amounts of P420, suggestive of poor enzyme quality.
Figure 1. Carbon monoxide difference spectra of bacterial membranes expressing Ae.aegypti P450s.
(A), CYP6CB1; (B), CYP9J26; (C), CYP9J32 ; (D), CYP9J24; (E), CYP9J28; and (F), CYP9J19.doi:10.1371/journal.pntd.0001595.g001
Table 3. Yields of Ae.aegypti P450s expressed in E. coli.doi:10.1371/journal.pntd.0001595.t003
In order to determine if the P450s were capable of pyrethroid metabolism, they were tested against permethrin and deltamethrin, representative Type I (non-cyano) and Type II (cyano) pyrethroids respectively. Catalytic activity was assessed by measuring substrate turnover (disappearance of substrate with time)(Figure 2). CYP's 9J24, 9J26, 9J28 produced low, but reproducible deltamethrin and permethrin turnover, whereas CYP9J32 demonstrated strong activity for deltamethrin and weak activity for permethrin (Figure 2). CYP's 9J19 and 6CB1 did not metabolise permethrin or deltamethrin. The ability of CYP's 9J24, 9J26, 9J28 and 9J32 to metabolise pyrethroids was further characterised by measuring substrate dependent reaction rates. The reactions followed Michaelis-Menten kinetics and the kinetic constants were estimated for each P450-pyrethroid combination (Table 4). The apparent KM measurements for permethrin ranged from 2.3±1.1 µM (CYP9J32) to 4.2±0.9 µM (CYP9J26) and for deltamethrin from 1.2±0.2 µM for (CYP9J26) to 5.2±2.1 µM (CYP9J32). The turnover rates (kcat) for permethrin ranged from 0.16±0.03 min−1 (CYP9J24) to 0.8±0.1 min−1 (CYP9J32) and from 0.22±0.02 min−1 (CYP9J26 or CYP9J28) to 3.0±0.5 min−1 (CYP9J32) for deltamethrin. Overall, the KM values for all P450s were within the normal range, 1–50 µM, associated with substrate binding and P450 metabolism , . In comparison with the normal broad range of kcat values for P450s of 1–20 min−1, kcat values were low i.e. <1 min−1. The exception was CYP9J32, which had a high kcat value of ~3 min−1 for deltamethrin. Interestingly the kcat for permethrin was ~3 fold lower (0.8 min−1). Finally, as for the pyrethroids, all P450s where tested against DDT (organochlorine), propoxur (carbamate), and imidacloprid (neonicotinoid), but there was no obvious substrate turnover detected.
Figure 2. Permethrin and deltamethrin metabolism by Ae aegypti P450s.
The proportion of 10 µM insecticide cleared by 0.1 µM P450 with 0.8 µM cyt b5 in the presence of NADPH is indicated by bar height. Error bars represent standard deviation (N = 3) and significantly greater insecticide clearance compared to negative reactions (no NADPH supplied) are indicated: *P<0.05, **P<0.01, or ***P<0.001 (paired T-test).doi:10.1371/journal.pntd.0001595.g002
Table 4. Subsrate-saturation kinetic constants.doi:10.1371/journal.pntd.0001595.t004
Probe substrate metabolism
Fluorescent and chemiluminescent substrates are routinely used in the pharmaceutical industry for monitoring P450 activity . In the context of vector control these probes could be extremely useful for diagnostic monitoring of P450 levels for insecticide resistance . We therefore screened the Ae. aegypti P450s for their ability to metabolise the four fluorogenic resorufin ethers; methyl (RME), ethyl (REE), pentyl (RPE), or benzyl ethers (RBE), as well as six P450 Glo™ proluciferin substrates, L-H, L-ME, L-CEE, L-BE, L-PFBE, L-PPXE. However, with the exception of CYP9J32, which produced a high rate of metabolism with the bulkiest luciferin compound L-PPXE, the Aedes P450s were largely unreactive against these substrates (Figure 3).
Figure 3. Metabolism of probe substrates by Ae. aegypti and An. gambiae P450s.
Solid bars indicate significant turnover of probe substrates compared to the negative (−NADPH) control reactions (N = 3, T-test). The chemical structures of the resorufin and lucerifin-based probe substrates are shown below the X-axis.doi:10.1371/journal.pntd.0001595.g003
We extended the screen to include three An. gambiae P450s namely, CYP6P3  and CYP6M2 , which metabolise pyrethroids and CYP6Z2, which does not metabolise pyrethroids . Like CYP9J32, CYP6P3 and CYP6M2 showed a clear preference for the luciferin substrate L-PPXE. In contrast, CYP6Z2 showed a marked preference for the smaller probe substrates with the greatest activity towards RME for the resorufin ethers and L-ME for the proluciferins (Figure 3).
Over the past few years the widespread use of organophosphates and synthetic pyrethroids for the control of Ae. aegypti larvae and adults has fed the emergence of insecticide resistance in many dengue endemic countries , , . CYP9J32 has been found over-expressed in deltamethrin and permethrin resistant Ae aegypti strains in Thailand, Mexico and Vietnam , . Here we have demonstrated that CYP9J32 can metabolise both these pyrethroids. Although the production of more toxic products cannot be ruled out, P450 metabolism generally results in the production of less toxic, more excretable, hydroxylated metabolites and/or degradation products . Thus, high levels of expression of CYP9J32 found in resistant populations of Ae. aegypti ,  are indicative of a chemoprotective role for CYP9J32.
In the context of dengue control operations, CYP9J32 therefore represents a strong candidate for predicting metabolic resistance in Ae. aegypti, particularly in Vietnam where CYP9J32 was the only P450 significantly over-expressed in the highly deltamethrin resistant Nha Trang strain . The turnover for deltamethrin was in the turnover range 1–5 min−1 found for other deltamethrin metabolising P450s CYP6P3 and CYP6M2 from An. gambiae , . Indeed, considering the high deltamethrin resistance of this strain, what is most striking about the biochemical data is the ~3 fold higher activity of CYP9J32 for deltamethrin (kcat = 3.0 min−1 ) relative to permethrin (kcat = 0.8 min−1).
While there have been a number of studies investigating insecticide resistance in different populations of Ae. aegypti , , , , , , it is clear that a single metabolic gene does not confer resistance in this species, unlike target site resistance. Instead, given the multiplicity of detoxification genes and their overlapping substrate specificities, numerous combinations of detoxifying enzymes may give rise to insecticide resistance . Thus it is not surprising that along with CYP9J32, our data reveals at least three other Ae. aegypti P450s that are capable of metabolising the pyrethroid insecticides permethrin and deltamethrin, CYP9J24, CYP9J26, CYP9J28. Most significantly, CYP9J26 and CYP9J28 P450s are found over-transcribed in deltamethrin resistant field populations in both Cayman Islands and Cuba (Bariami et al, submitted), emphasizing a potentially important role in pyrethroid clearance in-vivo. Therefore, elevated levels of these P450s are a strong indicator for resistance to pyrethroids, and an important consideration for planning successful interventions .
At present, the identification of metabolism – based insecticide resistance generally relies on the detection of gene over-expression, which is more subjective and less accurate than identifying specific target site mutations such as kdr, which can be done by PCR . Thus biochemical assays for detecting metabolic resistance by P450s are in general use , although they usually employ generic heme peroxidase assays that are recognised by many members of the enzyme family , compromising sensitivity and specificity. Having produced a panel of recombinant mosquito P450s associated with pyrethroid resistance we screened them against available fluorescent resorufin compounds and luminescent luciferin-based substrates to try and identify more specific probes for resistance monitoring. The luciferin substrate L-H has been used for tracking general P450 activity in the mosquito Culex pipiens . Thus it was surprising that L-H proved to be such a poor substrate against the panel of individual mosquito P450s (Fig. 3). Instead, the three major pyrethroid metabolisers, CYP9J32, CYP6P3 and CYP6M2, metabolised L-PPXE (Figure 3). L-PPXE contains a noticeably large aromatic group linked to the luciferin moiety, possibly more reflective of a pyrethroid-like substrate. Consistent with their low permethrin and deltamethrin activity, it is notable that the other pyrethroid metabolisers CYP's 9J24, 9J26 and 9J28 produced low levels of PPXE activity. Given the high activity of CYP9J32 for L-PPXE this suggests that this may be a very good substrate for tracking this and potentially other pyrethroid metabolising P450s. Such an assay, requiring individual or pooled mosquito homogenates, is potentially relatively high throughgput (96 well plate) and rapid (20–30 min for enzyme reaction time), although capital expense may be a limiting factor given the high cost of luminescence detectors.
Finally, although we have not yet examined the active site structure of CYP9J32, it is worth noting that several structural models of pyrethroid metabolising mosquito P450s have been produced including CYP6M2  from An. gambiae and CYP6AA3 and CYP6P7 from An. minimus , , . These provide an important reference point for further studies into the mechanisms of pyrethroid metabolism by mosquito P450s.
In conclusion, we have characterised several P450s associated with insecticide resistance in Ae. aegypti and identified four (CYP's 9J32, 9J24, 9J26 and 9J28) that are capable of metabolising deltamethrin and permethrin, two of the commonest pyrethroids used by vector control operations. Given the escalating use of microarray and PCR-based technology for resistance monitoring , elevated levels of expression of these P450s should be considered a warning of incipient or existing metabolic resistance.
The authors thank Dr. Clare Strode for assistance with gene sequence identification.
Conceived and designed the experiments: MJIP BJS. Performed the experiments: BJS PP DN. Analyzed the data: BJS MJIP. Contributed reagents/materials/analysis tools: BJS PP DN. Wrote the paper: BJS MJIP.
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