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Erschienen in: Malaria Journal 1/2017

Open Access 01.12.2017 | Research

Malaria vectors in the Democratic Republic of the Congo: the mechanisms that confer insecticide resistance in Anopheles gambiae and Anopheles funestus

verfasst von: Luisa Nardini, Richard H. Hunt, Yael L. Dahan-Moss, Nanette Christie, Riann N. Christian, Maureen Coetzee, Lizette L. Koekemoer

Erschienen in: Malaria Journal | Ausgabe 1/2017

Abstract

Background

The Democratic Republic of the Congo (DRC) is characterized as a holoendemic malaria area with the main vectors being Anopheles funestus and members of the Anopheles gambiae complex. Due to political instability and socio-economic challenges in the region, knowledge of insecticide resistance status and resistance mechanisms in these vectors is limited. Mosquitoes were collected from a mining site in the north-eastern part of the country and, following identification, were subjected to extensive testing for the target-site and biochemical basis of resistance. Quantitative real-time PCR was used to assess a suite of 10 genes frequently involved in pyrethroid and dichlorodiphenyltrichloroethane (DDT) resistance in An. gambiae females and males. In An. funestus, gene expression microarray analysis was carried out on female mosquitoes.

Results

In both species, deltamethrin resistance was recorded along with high resistance and suspected resistance to DDT in An. gambiae and An. funestus, respectively. A total of 85% of An. gambiae carried the kdr mutations as either homozygous resistant (RR) (L1014S, L1014F or both) or heterozygous (RS), however only 3% carried the rdl mutant allele (RS) and no ace-1 mutations were recorded. Synergist assays indicated a strong role for P450s in deltamethrin resistance in both species. In An. gambiae, analysis of transcription levels showed that the glutathione-S-transferase, GSTS1-2, produced the highest fold change in expression (7.6-fold in females and 31-fold in males) followed by GSTE2, thioredoxin peroxidase (TPX2), and cytochrome oxidases (CYP6M2 and CYP6P1). All other genes tested produced fold change values below 2. Microarray analysis revealed significant over-transcription of cuticular proteins as well as CYP6M7, CYP6P9a and CYP6P9b in insecticide resistant An. funestus.

Conclusions

These data show that high levels of deltamethrin resistance in the main malaria vector species, conferred by enzymatic detoxification, are present in the DRC.
Hinweise

Electronic supplementary material

The online version of this article (https://​doi.​org/​10.​1186/​s12936-017-2099-y) contains supplementary material, which is available to authorized users.
Abkürzungen
ace-1 R
acetylcholinesterase mutation
CYP
cytochrome P450
DDT
dichlorodiphenyltrichloroethane
DRC
Democratic Republic of Congo
ELISA
enzyme-linked immunosorbent assay
GABA
γ-amino butyric acid
GST
glutathione-s-transferase
IRS
indoor residual spraying
kdr
knockdown resistance
LLINs
long-lasting insecticide treated bed nets
PCR
polymerase chain reaction
PBO
piperonyl butoxide
qPCR
real-time quantitative PCR
RG
reference gene
RR
homozygous resistant
RS
heterozygous resistant
TPX
thioredoxin peroxidase
VGSC
voltage gated sodium channel
WHO
World Health Organization

Background

The severe burden of malaria in Africa is related to a number of factors including the presence of well-adapted vectors, human activities, such as deforestation, agriculture and urbanization, and poor healthcare due to socio-economic and political factors [1, 2]. Malaria transmission is further enhanced through “occupational activities” such as mining that bring humans and vectors into contact [1]. Widespread drug resistance in Plasmodium parasites and insecticide resistance in the vectors exacerbate the problem [3]. All these factors are relevant in the Democratic Republic of the Congo (DRC) which is characterized by high transmission (i.e. more than 1 case per 1000 population per year) of Plasmodium falciparum by the highly efficient vectors, Anopheles funestus, Anopheles gambiae and Anopheles coluzzii [3, 4]. Vector control in the DRC is largely based on the use of long-lasting insecticide treated bed nets (LLINs) [3, 4], and to a lesser extent, indoor residual spraying (IRS) which is limited to areas where mining operations are present [5].
A number of mechanisms confer resistance to a small pool of insecticides and for this reason, insecticide resistance management is both challenging and essential. Pyrethroids, organochlorines, carbamates and organophosphates are the only four classes of insecticide approved for use in vector control [6]. In particular, there has been a strong reliance on the pyrethroids as they are the only class of insecticide approved for treating bed nets, which have been central to reducing malaria prevalence. The pyrethroids are fast acting, inexpensive and demonstrate low mammalian and environmental toxicity. All four classes have been used for IRS.
Dichlorodiphenyltrichloroethane (DDT) is highly effective against many malaria vector populations and is relatively cost effective, however due to safety concerns, it is allowed for use in IRS programmes only. Given that DDT and pyrethroid resistance is widespread, interest in the carbamates and organophosphates for IRS is growing (see Refs. [710]) and in 2013, carbamates and organophosphates were used by 12 and 13 countries, respectively [11]. However, the use of the latter two is disadvantageous from a cost point of view, and more recently, resistance to these insecticides has been reported [12, 13].
Insecticide resistance is largely based on target-site insensitivity due to the occurrence of mutations and/or through enhanced enzymatic detoxification. Altered acetylcholinesterase, knockdown resistance (kdr) and mutations in the ‘resistance to dieldrin’ gene are all examples of target-site mutations. Knockdown resistance refers to point mutations in the voltage gated sodium channel (VGSC), the target of DDT and pyrethroids. Three mutations in the VGSC are well described, they are L1014S, L1014F and more recently, N1575Y [14]. The West African mutation results in a change from leucine to phenylalanine (L1014F) of the S6 segment [15] while the East African version occurs at the same codon but is a leucine to serine mutation (L1014S) [16]. Although the naming of the mutations as East and West was based initially on where they were found in Africa, studies have since shown that the mutations are not restricted to these areas. In addition, both mutations have been found in one population [17, 18]. A number of studies have shown that kdr is often present in the DDT- and pyrethroid-resistant phenotypes, but the use of synergists have shown that metabolic based mechanisms may also be responsible for resistance, even if the mutation is present [1921]. Furthermore, many studies that evaluate the presence of kdr do not evaluate the presence of metabolic mechanisms through the use of synergists, quantitative real-time PCR or biochemical methods [2224]. The mutations have been found in An. gambiae, An. coluzzii and Anopheles arabiensis [25, 26].
The ace-1 R mutation is a glycine to serine substitution at position 119 in acetylcholinesterase that is related to carbamate and organophosphate resistance [27]. Given that pyrethroid and DDT resistance are so common, interest in carbamates and organophosphates as alternatives for use in IRS has increased and monitoring for the ace-1 R mutation has become important [13]. The mutation has been found in An. gambiae, An. coluzzii and An. arabiensis vector populations in Ghana [13], Burkina Faso [28, 29], Côte d’Ivoire [30] and at low frequency in Benin [31]. With the use of dieldrin banned for public health, the presence of mutations in the γ-amino butyric acid (GABA) receptor is often ignored [32]. However, it is interesting that where these mutations occur, they remain established, and they have the potential to confer cross-resistance to other insecticides (both agricultural and public health) with the same target site [18, 33].
Metabolic detoxification involves three large enzyme families: the cytochrome P450s, the glutathione S-transferases (GSTs) and the esterases. Knowledge of the identity and functions of the enzymes that confer resistance is an important aspect of vector control so that resistance can be managed, the potential for cross-resistance can be reduced, and novel insecticide targets can be investigated. It has been shown that some enzymes are able to directly metabolize particular insecticides. For example, GSTe2 [34] and CYP6M2 [35] are able to metabolize DDT and pyrethroids, and CYP6Z1 is able to metabolize DDT [36] however in numerous studies many detoxification enzymes are highly over-transcribed in the resistant phenotype, suggesting that multiple enzymes may play a role in the resistance phenotype. In An. gambiae and An. arabiensis, genes such as CYP6M2, CYP6P3 [20, 37, 38] and CYP4G16 [39, 40] are frequently found over-transcribed, while in An. funestus, CYP6P9a, CYP6P9b, GSTe2 [34, 41] and CYP6M7 [42] have been implicated in metabolic detoxification.
Often, vector status and insecticide resistance monitoring, when conducted, are not sufficiently comprehensive in many countries. This imposes limitations on successful decision-making in national and local vector management programmes. This project aims to contribute to the knowledge of vector composition, insecticide resistance status and mechanisms conferring resistance in vectors from north-eastern DRC.

Methods

Entomological surveys and mosquito collections

Entomological surveys and collections were conducted at the Kibali Gold Mine in the Moto goldfields, north-eastern DRC (N03°08.846′E29°36.548′) in March/April 2011 and July 2012. Adult collections were done by manual aspiration in and around mine houses and structures, as well as in the homes and structures of nearby communities. According to initial field identifications using morphological keys [43], An. gambiae complex and An. funestus group were collected. A sub-set of wild caught females of each group were used for standard WHO insecticide susceptibility bioassays while the remainder of the females (2011: An. gambiae complex = 101, An funestus group = 101; 2012: An. gambiae complex = 88, An. funestus group = 94) were brought back to the insectary at the National Institute for Communicable Diseases (NICD) in Johannesburg for further analysis. For this purpose, females were separated into glass vials, blood fed and provided with moist filter paper for oviposition. Each family produced from a female was given a number for identification purposes.

Species identification

Mosquitoes were identified to species level by polymerase chain reaction (PCR) for the An. gambiae complex [44], An. coluzzii (previously M molecular form) or An. gambiae s.s. (previously S form) [45], and the An. funestus group [46].

Plasmodium falciparum sporozoite detection

Enzyme-linked immunosorbent assay (ELISA) was used to detect the presence of P. falciparum [47, 48]. The head and thorax of individual mosquitoes were used, and in all assays, positive and negative controls were included. Reactions were assayed spectrophotometrically at 405 nm (Ascent Multiskan RC vl. 5.0, Genesis version 3.03, Labsystems) and all positive samples were assayed a second time.

WHO bioassays and synergist exposures

Where possible, field collected adults (males and females) of each species were exposed in the field to DDT (4%), deltamethrin (0.75%), propoxur (0.1%), fenitrothion (1%), malathion (5%), bendiocarb (0.1%) and dieldrin (4%), according to standard WHO procedures [49]. In each case, mosquitoes were exposed to a particular insecticide for 1 h (2 h for fenitrothion), and sample sizes per exposure varied from 12 to 30 mosquitoes per tube depending on mosquito numbers. Mosquitoes were provided with a 10% sugar solution ad libitum and after 24 h, mortality was recorded. During the 2012 collections, too few An. gambiae were collected for field-based bioassays. For this reason, live specimens were returned to the laboratory and F1 progeny were used for insecticide exposures to DDT, deltamethrin, propoxur, fenitrothion, malathion, bendiocarb and dieldrin.
In the second survey (2012), F1 offspring from individual families generated from both An. funestus and An. gambiae were used for synergist assays prior to deltamethrin exposure. These exposures comprised 1–4 day old males and females. Exposures were carried out as described above, however the number of replicate exposures varied for each family depending on the number of offspring available. These exposures were prepared in conjunction with synergist assays where the monooxygenase inhibitor, piperonyl butoxide (PBO) and the esterase inhibiter, triphenylphosphate (TPP) were used to synergize the F1 offspring of An. gambiae (PBO N = 282; TPP N = 188) and An. funestus (PBO N = 190; TPP N = 182) prior to insecticide exposure. Between 5 and 20 adults were exposed, per replicate, to 4% PBO or 10% TPP for an hour depending on mosquito availability, and then immediately exposed to 0.75% deltamethrin for an hour before being returned to a holding tube. Mortality was recorded after 24 h. Insecticide exposure versus synergist plus insecticide exposure were analysed using the Student’s t-test. An outline of the key assays is provided in Fig. 1.

Molecular evaluation of resistance mechanisms in Anopheles gambiae s.s.

Both target site mutations and metabolic mechanisms were evaluated for the 2012 field season. Target site molecular markers were evaluated for the following alleles: Rdl (A296G), kdr (L1014S and L1014F), ace-1 R (G119S). Known metabolic genes (GSTS1-2, GSTE2, TPX2, CYP6M2, CYP6P1, CYP6AG2, CYP4G16, CYP9L1, CYP6Z1 and SOD1) were evaluated in F1 progeny using quantitative real-time PCR (qPCR).

Detection of kdr

Polymerase chain reaction (PCR) followed by direct sequencing of the relevant gene was performed in order to test for the presence of kdr east and west mutations in specimens assayed against DDT in the An. gambiae field samples. DNA was extracted from both survivors (N = 47) and mortalities (N = 8), stored on silica gel, using the prepGEM Insect Kit (ZyGEM). Each PCR reaction (containing 2.5ul 10 × PCR Buffer, 1.5 μl MgCl2 [25 mM], 2.5 μl dNTP’s [2.5 mM each], 3 μl each of AGD1 and AGD2 primers [10 µM], 0.2 μl Takara Taq and 11.3 μl nuclease free water) was subjected to the following cycling conditions: 94 °C/2 min (min), (94 °C/30 s [sec], 50 °C/30 s, 72 °C/30 s) × 40 cycles, and a final extension step at 72 °C for 5 min. The primers, AGD1 (5′ ATA GAT TCC CCG ACC ATG 3′) and AGD2 (5′ AGA CAA GGA TGA TGA ACC 3′), span the region containing the mutations [15]. Results were viewed by electrophoresis and column purified amplicons were sequenced in both directions by Macrogen (Sanger sequencing using the ABI 3730XL DNA Sequencing system). Sequences were aligned using DNASTAR (Lasergene Megalign 2007) software and were screened for the kdr. Positive and negative controls in the form of laboratory strains were included in order to assist with interpretation.

Detection of “resistance to dieldrin” mutation

The presence of the A296G mutation was assayed using TaqMan® technology according to the method of Bass et al. [50]. A mutant specific probe and wild type probe were included in the assay as well as two standard forward and reverse primers. Both survivors (N = 1) and mortalities (N = 32) were assayed and DNA was extracted using the prepGEM Insect Kit (ZyGEM). The resistant laboratory strain COGS (An. gambiae s.s. colonized from the Republic of the Congo in 2009 [18]) was used as a positive (homozygous resistant (RR) and heterozygous (RS) control while the susceptible SUA strain (An. coluzzii from Liberia) was used as a homozygous susceptible control (SS).

Detections of ACE mutation

PCR of the ace-1 R mutation and subsequent digestion was performed in order to detect the G119S mutation in the acetylcholinesterase neurotransmitter [27]. DNA was extracted using the prepGem Insect Kit (ZyGEM) from mosquitoes that both survived (N = 22) and died (N = 25) following exposure to bendiocarb (0.1%). Amplification of the ace-1 R gene to produce a 541 base pair product was performed using the forward Ex3Agdir (5′ GAT CGT GGA CAC CGT GTT CG 3′) and reverse Ex3Agrev (5′ AGG ATG GCC CGC TGG AAC AG 3′) primers under the following conditions: 94 °C/3 min, 35 cycles of [94 °C/30 s, 62 °C/30 s, 72 °C/20 s] and a final extension at 72 °C/5 min. Each reaction comprised 2.5 μl 10 × PCR Buffer, 2.5 μl dNTPs [2.5 mM each], 1.5 μl MgCl2 [25 mM], 4 μl of each primer at a concentration of 2 μM, 0.2 μl Takara Taq and 12.8 μl nuclease-free H2O. Digestion using Alu I (Promega) restriction enzyme was carried out and visualized with positive and negative controls by agarose gel electrophoresis. Restriction enzyme digestion produces two fragments of 403 and 138 bp in the SS genotype, while three fragments (of 253, 150 and 138 bp) characterize the RR genotype.

RNA extraction

RNA was extracted from 1 to 5 day old An. gambiae F1 progeny using TRI® Reagent Solution (Sigma-Aldrich) [51]. For each of the three biological repeats, 2 mosquitoes from four different families were used (N = 8), and for each biological repeat, four new families were used. A susceptible laboratory strain of An. coluzzii, SUA, was used as a control and three corresponding biological repeats were prepared. The RNA samples were reverse transcribed into cDNA using the QuantiTect® Reverse Transcription Kit (Qiagen) according to supplier instructions.

Real-time quantitative PCR (qPCR)

Real-time qPCR was used to evaluate transcription of 10 genes commonly known to, or previously implicated in playing a role in insecticide resistance against pyrethroids. Reference gene (RG) selection was performed as specified by the minimum information for publication of quantitative real-time PCR experiments [52] where the expression in 4 potential reference genes, namely ribosomal protein L19 (RPL19), ribosomal protein S7 (RPS7), β-actin and 18S was evaluated and analysed using the MS Excel add-in, NormFinder [53]. For An. gambiae, RPL19 and β-actin showed the most stable transcription in both males and females. The over-transcription of the genes of interest was measured relative to these two RGs. Each qPCR reaction was set up as follows: 12.5 μl IQ™ SYBR super-mix (Bio-Rad), 4 μl primer (concentration optimized for each gene), 1 μl cDNA (100 ng/μl) and nuclease free water to a volume of 25 µl. PCR was carried out using the Bio-Rad CFX96™ Real-Time PCR Detection System with the following cycling conditions: 93 °C/3 min, followed by 35 cycles of [94 °C/20 s, optimized annealing temperature/25 s, 72 °C/30 s] with a single extension at 72 °C/10 min. and a final melt. Standard curves were prepared by 2-fold dilutions of cDNA derived from the wild mosquitoes. For each gene, three biological repeats were assessed, and for each biological repeat, three technical repeats were included for each reaction. Data were analysed using the Pfaffl [54] method. Initially, column-purified PCR product for each gene of interest was sent to Macrogen for Sanger sequencing in both directions in order to confirm (in addition to melt curve analysis) that the correct product was amplified in each case. The genes evaluated in male and female An. gambiae were GSTS1-2, GSTE2, TPX2, CYP6M2, CYP6P1, CYP6AG2, CYP4G16, CYP9L1, CYP6Z1 and SOD1. Primer sequences are provided in Table 1.
Table 1
Primer sequences used for relative quantification of genes linked to the insecticide resistance phenotype in Anopheles gambiae
Gene
Sequence (5′–3′)
Primer conc. ( μM)
Annealing temperature ( °C)
Amplicon size (bp)
Reference
GSTS1-2 F
GSTS1-2 R
GCT GTC TTA CGG CAA CCT TC
CCA CGG TGT CAA TCA TCA AG
3
58.3
212
GSTe2 F
CAT TTG AAG CCG GAA TTT GT
3
60
123
GSTe2 R
TTT GCC ATA CTT CGT CAC CA
    
TPX2 F
TPX2 R
GGA TGT TTG TGG GGA ATA CG
TGT GCG ATT AGC CTC CTC TT
3
52
165
[20]
CYP6M2 F
CYP6M2 R
CAT GAC ACA AAC CGA CAA GG
GGT GAG GAG AGT CGA CGA AG
3.5
52
235
[20]
CYP6P1 F
CGC GCA GGT GTT TAT CTT TT
3
60
199
CYP6P1 R
GTT CAC CAC CTG TCC GAG AT
    
CYP6AG2 F
CYP6AG2 R
TTG TGC TGC CGT ACT ATT CG
TAC TAT CGC CCG TCT CAC CT
3
60
200
[20]
CYP4G16 F
CYP4G16 R
CAG ACC GTC CAG CCA CAT TC
GCG AAC GAG CAA TTA TAG GTA CTG
3
60
108
[20]
CYP9L1 F
CYP9L1 R
AGA TAA TGT ATT CTT TCG CTA TGG
GCT CTT CTC GCT CTT GAA C
3
56.3
188
[20]
CYP6Z1 F
TTA CAT TCA CAC TGC ACG AG
3
57
146
CYP6Z1 R
CTT CAC GCA CAA ATC CAG AT
    
β-actin F
β-actin R
ACC AAG AGC CTG AAG CAC
CGA GCA CGA CAC ACT ATA TAC
N/A
123
[83]
RPL19 F
RPL19 R
CCA ACT CGC GAC AAA ACA TTC
ACC GGC TTC TTG ATG ATC AGA
N/A
61
[20]
The gene and primer names are designated as F forward primer and R reverse primer, and primer concentration (conc.), annealing temperature, amplicon size and primer citation are included where relevant. Annealing temperature of the reference genes β-actin and RPL19 were the same as that for each test gene (depicted as N/A)

Evaluation of resistance mechanisms in Anopheles funestus

As no kdr has been found in An. funestus to date, this was not evaluated. The presence of ace-1 R or rdl mutants was not included as An. funestus from this population were susceptible to bendiocarb and dieldrin, respectively.

Preparation of microarrays and analysis

RNA was extracted from 1 to 5 day old An. funestus F1 progeny [51]. For each of the three biological repeats, two mosquitoes from four different families were used (N = 8), and for each biological repeat, four different families were used. A susceptible laboratory strain, FANG (An. funestus colonized from Angola in 2002), was used as a control and three corresponding biological repeats were prepared. RNA was extracted using the TRI® Reagent Solution (Sigma-Aldrich) according to supplier instruction, with a DNase treatment included (RNase-Free DNase Set, Qiagen). The quality and quantity of the RNA was assessed using a NanoDrop 2000 Spectrophotometer (Thermo Fisher Scientific Inc.). Four microarrays were prepared using the Agilent 4 × 44 K platform (AMADID 048099)—one for each biological repeat, and a dye swap to account for bias in dye binding. Each array consisted of 33,022 An. funestus specific probes available in Genbank and 1417 Agilent control features. A total of 303 nucleotides belonged to the cytochrome P450 class, 11 to the GST class, 23 to the esterases class and a large number of other insecticide resistant genes.
Labelling was done using the Low Input Quick Amp Labelling Kit (Agilent Technologies) according to manufacturer’s instructions. A starting quantity of 1 μg RNA was incorporated into each labelling reaction. Labelled targets were purified using the RNEasy® Mini Kit (Qiagen) and successful labelling was evaluated using a NanoDrop Spectrophotometer (Thermo Fisher Scientific Inc.). Hybridization was performed provided dye incorporation was above 0.1 pmol/μl and cRNA yield above 36.2 ng/μl. In addition, specific activity was determined as (concentration of Cy3/Cy5)/(concentration of RNA)*1000 = pmol Cy3 or Cy5 per ug RNA. Specific activity above 8 pmol Cy3 or Cy5 per μg RNA, with a yield above 825 ng was acceptable. Hybridization was performed using the Agilent Gene Expression Hybridization Kit (Agilent Technologies) and was incubated at 65 °C/18 h. After this period, slides were washed and scanned using the GenePix 4000B scanner (Molecular Devices, USA) where the photomultiplier tube (PMT) settings were adjusted to give a pixel ratio of approximately 1. Spot quality and background intensities were examined and corrected using GenePix Pro 6.0 software (Axon Instruments, USA). Saturated features were excluded from analysis (the PMT gain was set at maximum and minimum limits of 63,000).
Gene expression data were analysed using the limma (linear models for microarray data) package version 2.12.0 (Bioconductor) [55] in R version 2.8.0 [56]. Data were normalized (‘within-array’ global loess normalization and ‘between-array’ Aquantile normalization), and linear models were fitted in order to contrast resistant An. funestus expression values with expression values of a susceptible strain. Differentially expressed probes were defined as those with a fold-change greater or equal to 2 and with adjusted p-value ≤ 0.05 [p-values associated with the moderated t-test were corrected for multiple testing based on the false discovery rate (FDR)]. Batch Entrez [57] was used to retrieve the nucleotide sequences linked to accession numbers of all probes on the microarray (25,404 sequences were retrieved in FASTA format). Blast2GO [58] was used to functionally annotate the probe sequences, and for gene ontology (GO) enrichment of over- and under-transcribed gene sets. The p-values for the GO-enrichment analysis were calculated using Fisher’s Exact Test and an adjustment for multiple testing was performed to control the FDR. In order to obtain additional annotation information, basic local alignment search tool (BLAST) [59] searches were carried out against all PEST and Aedes aegypti transcripts (FASTA files were downloaded from Vectorbase [60]). For each An. funestus query sequence, the top PEST and Aedes aegypti nucleotide BLAST hit was recorded if the e-value cutoff was less than 1e-05 (see Additional file 1).

Real-time quantitative PCR (qPCR)

Real-time PCR was used for validation of An. funestus microarray data as described above. Reference genes used for An. funestus were RPL19 and RPS7 as they were found to be the most stable RGs. The genes selected for microarray validation in CYP6M7 and CYP6P9b, and primer details are summarized in Table 2.
Table 2
Primer sequences used for relative quantification of genes linked to the insecticide resistance phenotype in Anopheles funestus
Gene
Sequence (5′–3′)
Primer conc. ( μM)
Annealing temperature ( °C)
Amplicon size (bp)
Reference
CYP6P9b F
CYP6P9b R
CAG CGC GTA CAC CAG ATT GTG TAA
TTA CAC CTT TTC TAC CTT CAA GTA ATT ACC CGC
3
60
97
[41]
CYP6M7 F
CYP6M7 R
CGT TGT ATG AGC TGG CGT TA
GTG CAT CTC CAT GAC AGC AT
3
60
116
[41]
RPL19 F
RPL19 R
CCA ACT CGC GAC AAA ACA TTC
ACC GGC TTC TTG ATG ATC AGA
3
61
[20]
RPS7 F
RPS7 R
TTA CTG CTG TGT ACG ATG CC
GAT GGT GGT CTG CTG GTT C
3
135
[84]
The gene and primer names are designated as F forward primer and R reverse primer, and primer concentration (conc.), annealing temperature, amplicon size and primer citation are included where relevant

Results

Species identification, WHO susceptibility tests and sporozoite detection

Anopheles gambiae complex

In 2011, 580 mosquitoes of unknown age were used for field-based bioassays. Although low levels of resistance will be missed by using wild adults, it does however provide valuable insight as to which resistance mechanisms needed to be targeted when F1 progeny were available [18]. During the 2012 survey, F1 progeny were used for bioassays (N = 559) as the number of An. gambiae collected in the field were too few for meaningful bioassay tests to be conducted. Species identification was confirmed by PCR as An. gambiae s.s. (previously S molecular form). No An. coluzzii (M form) or An. arabiensis were identified. In 2011, the field bioassays indicated resistance to deltamethrin (51% mortality), DDT (60% mortality) and propoxur (86% mortality), with full susceptibility to the organophosphates (Table 3). The 2012 assessment revealed an even higher level of resistance to DDT (15% mortality) while resistance to deltamethrin remained high (44% mortality). In contrast, the mosquitoes reverted to propoxur susceptibility (86% in 2011 versus 100% mortality in 2012) but bendiocarb resistance had developed (97% in 2011 versus 53% mortality in 2012). Full susceptibility to the organophosphates was maintained. An exceptionally high level of P. falciparum sporozoite positivity (8.8%) was recorded in 2011.
Table 3
Mortality recorded in Anopheles gambiae s.s. males and females collected during the 2011 (adults collected in the field) and 2012 field (F1 progeny of field-collected adults) seasons following 1-h insecticide exposures using standard WHO tubes
Insecticide
2011
2012
N
% Mortality
Resistance status
N
% Mortality
Resistance status
Deltamethrin (0.75%)
97
51
Resistant
134
44
Resistant
Malathion (5%)
81
100
Susceptible
101
99
Susceptible
Fenitrothion (1%)
112
100
Susceptible
94
99
Susceptible
Propoxur (0.1%)
90
86
Resistant
96
100
Susceptible
Bendiocarb (0.1%)
90
97
Suspected resistance
47
53
Resistant
DDT (4%)
58
60
Resistant
55
15
Resistant
Dieldrin (0.4%)
52
100
Susceptible
32
97
Suspected resistance
Interpretation of resistance status is based on WHO criteria [49]

Anopheles funestus group

A total 662 An. funestus were assayed for insecticide resistance in the field in 2011, while in 2012, a total of 871 An. funestus were tested in WHO bioassays. The mosquitoes were confirmed as An. funestus, and no other members of the An. funestus group were present. In the 2011 season, An. funestus were largely susceptible to all insecticides tested, although evidence of emerging deltamethrin resistance was observed with 93% mortality after 1-h exposure (Table 4). Worryingly, full resistance to deltamethrin was observed in 2012 (with 69% mortality) and potential resistance to DDT had emerged (95% mortality). Susceptibility to the organophosphates was reported and maintained in 2011 and 2012. As in the case of An. gambiae, an unusually high percentage of mosquitoes (12.2%) were found to be positive for P. falciparum in the 2011 field season.
Table 4
Mortality recorded in Anopheles funestus males and females collected during the 2011 and 2012 field assays following 1-h insecticide exposures using standard WHO tubes
Insecticide
2011
2012
N
% Mortality
Resistance status
N
% Mortality
Resistance status
Deltamethrin (0.75%)
100
93
Suspected resistance
139
69
Resistant
Malathion (5%)
88
100
Susceptible
101
100
Susceptible
Fenitrothion (1%)
110
100
Susceptible
95
100
Susceptible
Propoxur (0.1%)
72
97
Suspected resistance
48
100
Susceptible
Bendiocarb (0.1%)
142
98
Susceptible
202
98
Susceptible
DDT (4%)
101
99
Susceptible
237
95
Suspected resistance
Dieldrin (0.4%)
49
100
Susceptible
49
100
Susceptible
Interpretation of resistance status is based on WHO criteria [49]

Synergist assays

Use of the monooxygenase specific synergist, PBO, revealed that deltamethrin was largely based on P450 based metabolism with complete reversion to susceptibility after exposure to PBO in An. funestus, and almost complete reversion to susceptibility in An. gambiae (F1 progeny in both species used for these assays) (Table 5). Synergizing mosquitoes with TPP prior to deltamethrin exposure produced no change in susceptibility to deltamethrin.
Table 5
Percentage mortality observed in F1 Aopheles gambiae and An. funestus males and females following exposure to the synergists (PBO or TPP) and insecticide
 
0.75% Deltamethrin (n)
0.75% Deltamethrin + PBO (n)
0.75% Deltamethrin + TPP (n)
An. gambiae s.s.
30% (361)a
92 ± 15% (282)b
28 ± 23% (188)a
An. funestus
59% (630)a
100 ± 0% (190)b
51 ± 31% (182)a
a,bIndicate statistically significant differences determined by Students’ t-test between deltamethrin (0.75%) + synergist and deltamethrin (0.75%) only

Molecular evaluation of resistance mechanisms in Anopheles gambiae

Rdl-mutation

Only one mosquito survived dieldrin exposure in 2012, and was analysed for the presence of the rdl mutation. Those that survived exposure (N = 32) were also genotyped. The specimen that survived exposure to dieldrin was heterozygous for the mutation (Fig. 2a). All those that died were homozygous SS.

Kdr-mutation

Of the 55 specimens tested against DDT, 53% were homozygous resistant for the east mutation (RRL1014S), while only 9% were homozygous for the west mutation (RRL1014F) (Fig. 2b). Heterozygotes for the east (RL1014SS) form were found (6%), but none for the west mutant. A large percentage (24%) of the specimens carried both mutations. The kdr status for 9% could not be determined by sequencing or by TaqMan® assays.

Ace-1 R mutation

There were no ace-1 R mutants detected in any bendiocarb resistant specimens (N = 47) from 2012 collections.

Real-time quantitative PCR

Genes that are frequently reported as playing a role in insecticide resistance to pyrethroids were selected for analysis by real-time quantitative PCR in An. gambiae males and females. In males, a greater than 5-fold increase was observed in GSTS1-2, GSTe2, TPX2 and CYP6M2 when compared with the selected reference genes (RGs). In females, GSTS1-2 and GSTe2 showed over-transcription greater than 5-fold, while TPX2, CYP6M2 and CYP6P1 were more than 2-fold over-transcribed relative to the selected RGs (Fig. 3).

Molecular evaluation of resistance mechanisms in Anopheles funestus

Anopheles funestus gene expression arrays were prepared to evaluate changes in gene expression in resistant female An. funestus from the DRC using a susceptible laboratory strain as a reference. According to our criteria for cut-off (FC ≥ 2.0 and adjusted p-value ≤ 0.05), a total of 409 and 280 probes were significantly over- and under-transcribed respectively (Additional file 1). Using Blast2GO, enriched gene ontology terms were assigned to the sets of over- and under-transcribed genes. As expected, genes with a variety of functions produced significantly increased transcript abundance, although proteins with oxidoreductase activity, and cuticular proteins predominated (p-value < 0.05, FDR < 0.1) as determined by enrichment analyses (Table 6). Amongst the most highly over-transcribed genes were ubiquitin c (EZ916542), a component of the ubiquitin proteolytic system [61], at 8.4-fold over-transcribed; troponin C (EZ915656), an important protein in calcium dependent regulation of muscle contraction [62] at 5.7-fold over-transcribed; and the oxido-reductase enzyme sorbitol dehydrogenase, 8.2-fold over-transcribed (Table 7). Other highly transcribed non-detoxification genes included chymotrypsin 1 (7.3-fold over-transcribed), and a range of cuticle proteins. Five known cytochrome P450s were significantly over-transcribed, namely CYP6M7 (7.7-fold), CYP6P9b (3.3-fold), CYP6P9a (2.0-fold) and the duplicated genes, CYP6P4a and CYP6P4b, at 2.0- and 2.1-fold over-transcribed respectively (Table 8). The DDT-metabolizing GSTe2 was 2-fold over-transcribed, while a second GST, un-annotated in An. funestus, but which mapped to GSTs1 in An. gambiae was also significantly over-transcribed (3.6-fold) (Table 8).
Table 6
Significantly enriched gene ontology terms (GO) terms, using Blast2Go, of over-transcribed genes in insecticide resistant Anopheles funestus relative to susceptible controls
GO Description
GO Type
Adjusted p-value (FDR)
Cluster frequency
Oxidoreductase activity
Molecular function
3.0E−06
16/929
Structural constituent of the cuticle
Molecular function
7.7E−06
4/24
Oxidation–reduction process
Biological process
1.7E−05
14/824
Table 7
The top 35 over-transcribed genes with available descriptions, in wild insecticide resistant Anopheles funestus relative to the susceptible laboratory strain, FANG
Accession number
Log2FC
FC
Adjusted p-value (FDR)
Best-hit Blast2Go description
Best-hit PEST descriptions
EZ916542
3.07
8.4
4.6E−04
Ubiquitin c variant 2
Polyubiquitin-B
EZ976930
3.03
8.2
8.2E−05
Cuticular protein 49aa cg30045-pb
CPR113: cuticular protein RR-2 family 113
EZ967106
2.97
7.9
8.1E−05
Myosin heavy chain
EZ980273
2.96
7.8
1.4E−02
tbc domain-containing protein kinase-like protein
TBC domain-containing protein kinase-like protein
EZ973782
2.94
7.7
8.2E−05
Cytochrome p450 6a8
CYP6M3: cytochrome P450
EZ915918
2.89
7.4
1.3E−04
Actin
Actin, cytoplasmic
EZ979664
2.86
7.3
8.1E−05
CHYMOTRYPSIN 1
CHYM1: chymotrypsin-1
EZ915406
2.75
6.7
8.1E−05
Sorbitol dehydrogenase
d-xylulose reductase A
EZ918406
2.70
6.5
8.1E−05
Ubiquitin c variant 2
Polyubiquitin
EZ980370
2.53
5.8
5.9E−03
Slow border cells
CCAAT/enhancer binding protein (C/EBP), invertebrate
EZ917907
2.53
5.8
3.7E−04
Flightin
Flightin
EZ919993
2.52
5.8
8.7E−05
CPLCA3: cuticular protein 3 in CPLCA family
EZ925592
2.51
5.7
1.2E−04
NADH dehydrogenase (ubiquinone) 1 alpha subcomplex 4
EZ915656
2.51
5.7
8.7E−05
Troponin c
Troponin C
EZ917820
2.41
5.3
6.4E−04
CPR125: cuticular protein RR-2 family 125
EZ916349
2.37
5.2
9.0E−05
Actin
Actin, cytoplasmic
EZ966655
2.36
5.1
4.4E−04
Transforming growth factor beta regulator 1
Uncharacterized protein
EZ920676
2.30
4.9
6.9E−04
 
Troponin T, fast skeletal muscle
EZ966156
2.28
4.8
8.8E−03
Muscle lim protein
Muscle LIM protein at 84B
EZ915396
2.24
4.7
1.2E−04
Sorbitol dehydrogenase
d-xylulose reductase A
EZ917325
2.18
4.6
1.2E−04
Regulator of microtubule dynamics protein 1-like
Regulator of microtubule dynamics protein 1-like
EZ920255
2.18
4.5
1.2E−04
Muscle LIM protein at 84B
EZ915403
2.15
4.4
1.2E−04
Sorbitol dehydrogenase
d-xylulose reductase A
EZ917889
2.09
4.3
1.3E−04
Flightin
EZ974390
2.04
4.1
2.9E−04
Stretchin-isoform d
Stretchin-isoform d
EZ920519
2.00
4.0
1.3E−04
Actin, cytoplasmic
EZ973962
1.99
4.0
2.9E−04
Dimeric dihydrodiol dehydrogenase
Dimeric dihydrodiol dehydrogenase
EZ915590
1.98
3.9
1.6E−04
Venom allergen
A5R1: antigen 5 related protein 1
EZ915515
1.98
3.9
1.5E−04
CPCFC1: cuticular protein CPCFC family (CPCFC1)
EZ924022
1.95
3.9
1.5E−04
Pupal cuticle
Pupal cuticle
EZ916170
1.95
3.9
1.4E−04
Stretchin-isoform d
Stretchin-isoform d
EZ915759
1.88
3.7
2.9E−04
GSTS1: glutathione S-transferase sigma class 1
EZ976897
1.87
3.7
1.6E−04
Leucine-rich repeat-containing protein 20-like isoform 1
Leucine-rich repeat-containing protein 20-like isoform 1
EZ973739
1.87
3.6
1.6E−04
Lysozyme c-4
LYSC4: C-Type Lysozyme
EZ915209
1.85
3.6
3.6E−04
Glutathione S-transferase
GSTS1: glutathione S-transferase sigma class 1
The complete gene list is included as Additional file 1
Table 8
Cytochrome P450s and GSTs significantly over-transcribed in Anopheles funestus from DRC, when compared with the susceptible laboratory strain, FANG
Accession number
Name
Annotated description
Annotation against PEST
FC
EZ973782
Afun007663 (CYP6M7)
Cytochrome P450 6a8
CYP6M3
7.7
JX627312
CYP6P9b
Cytochrome P450
CYP6P3
3.0
EF152577
CYP6P13 (CYP6P9b)
Cytochrome P450
2.7
EZ975565
Afun009522
Cytochrome P450
2.6
EZ973498
Afun007369 (CYP6P9a)
Cytochrome P450
2.3
EU852645
CYP6P4b
Cytochrome P450
2.1
AY987359
CYP6P4
Cytochrome P450
2.0
EU852644
CYP6P4a
Cytochrome P450
2.0
EZ915759
cmb2_lrc578
Glutathione S-transferase
GSTs1
3.7
EZ915209
cmb2_lrc28
Glutathione S-transferase
GSTs1
3.6
EZ979266
Afun013481 (GSTe2)
Glutathione S-transferase
2.0
Criteria for significance were as follows: FC ≥ 2 and adjusted p-value ≤ 0.05
Interestingly, a number of immunity related genes were found to be under-transcribed. These included serine proteases, including CLIPC7 and CLIPB1, a spondin, and trypsin and chymotrypsin like protein. In addition to these analyses, the microarray reporter sequences obtained here were blasted against An. gambiae (PEST) and Aedes aegypti genomes in order to supplement the annotations as the An. funestus reference genome is incomplete [63]. These annotations have been added to the Additional file 1.
Validation of microarray data was carried out on CYP6P9b and CYP6M7. The FC values obtained for these were in line with those obtained by microarray analyses. Specifically, CYP6P9b showed 5.8 (± 1.5)-fold higher expression relative to FANG, and CYP6M7, 6.3 (± 4.2)-fold higher expression than that of FANG. These values are based on the use of two RGs in each case.

Discussion

This study aimed to characterize malaria vector profiles, insecticide resistance status and the mechanisms conferring resistance in the vectors in the DRC. These data are not only essential for insecticide resistance management in the region, but also contribute to the growing body of knowledge focussed on pyrethroid resistance.
Both of the surveys carried out in 2011 and 2012 identified the major vectors An. funestus and An. gambiae s.s., as confirmed by PCR. The indoor house-spraying programme implemented after the initial field assessment in 2011 was based on the use of organophosphates and carbamates used in rotation. Both vector species were resistant to the Type II pyrethroid, deltamethrin. Of particular concern was the decrease in susceptibility to deltamethrin observed in An. funestus between 2011 and 2012—mortality dropped from 93% (2011) to 59% (2012). Such decreases in susceptibility can be due to over-use of a particular insecticide and in this instance, likely due to the widespread use of treated bed nets in the area, as well as the use of pyrethroids in both formal and informal agriculture. Anopheles funestus remained susceptible to all other insecticides tested, and critically, no changes in susceptibility to bendiocarb or the organophosphates were observed. In An. gambiae, the situation was more complex: mortality against DDT dropped from 60% (2011) to 15% (2012), and resistance to bendiocarb developed in the same period. In the absence of the use of DDT, the origin of resistance to the insecticide is not clear but may be related to cross-resistance conferred by pyrethroid resistance mechanisms such as kdr and the over-transcription of the cytochrome P450, CYP6M2 [35]. The use of bendiocarb conferred rapid resistance to this insecticide, despite being used in rotation with the organophosphates. Such a situation emphasizes the need for regular resistance and vector monitoring so that adjustments to control programmes can be made timeously and accurately.
More than half of the An. gambiae samples assayed here were homozygous for the East African kdr mutation (L1014S), while 6% were heterozygous for this mutation. The West African kdr mutation (L1014F) was homozygous in 9% of the specimens, but no heterozygotes were found. In their study of kdr in the DRC, Basilua et al. [64] reported the presence of the L1014F (West African mutant) only, with the homozygous RR genotype predominating in 53% of the test population in 2009. Other studies of kdr in the central African region have reported the presence of both alleles in Cameroon [22] and the Congo [18]. The use of synergist assays indicates that kdr plays a limited role in pyrethroid resistance, but rather that cytochrome P450s are responsible. Carbamate resistance is most likely due to metabolic resistance and the absence of the ace-1 R mutation supports this. Dieldrin is no longer used, but low levels of rdl-mutation were observed.
Further characterization of metabolic resistance mechanisms in both species were either through qPCR or microarray analysis. The use of microarray based studies and qPCR have provided relatively simple means to determine the identity of specific metabolic genes associated with resistance phenotypes. This is supported by the use of the synergist, PBO, which resulted in a reversion to 100% mosquito mortality in the presence of pyrethroids for An. funestus and 92% in An. gambiae. It is thought that the duplicated and highly polymorphic CYP6P9a and CYP6P9b genes [65, 66], along with CYP6M7 are driving the spread of pyrethroid resistance northwards from Mozambique, Malawi and Zambia [41, 67]. Typically, both CYP6P9a and CYP6P9b are found to be over-transcribed in pyrethroid resistant An. funestus at much higher levels than those observed here [41] and this may reflect differing origins of resistance from resistant populations in southern Africa [68, 69], with decreasing over-transcription of these enzymes from Mozambique to Zambia [41, 68] to the DRC. A recent report by Riveron et al. [41] shows that both enzymes are able to confer resistance to pyrethroids independently and CYP6P9b is metabolically active against Type I and Type II pyrethroids. Similarly, CYP6M7 (over-transcribed by 7.7-fold) is metabolically active against the pyrethroids [41]. These data expand the previously reported northern range of over-transcribed CYP6P9a, CYP6P9b and CYP6M7 in An. funestus from Zambia to northeastern DRC.
GSTe2 has been well documented in the context of DDT resistance and elevated levels of transcription have been reported in An. funestus [34], An. gambiae [70] and Aedes aegypti [71]. GSTe2 has been closely linked to insecticide resistance in An. funestus from West Africa where elevated transcription, enhanced by a leucine to phenylalanine replacement (L119F), confers resistance to DDT and cross-resistance to pyrethroids [34, 72]. The presence of L119F should be assessed in subsequent work in the DRC in order to determine if this mutation is present in the region, however, the fact that full reversion to pyrethroid susceptibility in the presence of PBO would suggest a negligible role for this enzyme in conferring pyrethroid resistance.
In their study of the sigma class GST 1 in Apis cerana cerana, Yan et al. [73] reported that the enzyme plays an important role in limiting oxidative damage and may play a role in detoxification of xenobiotics. Its specific function in Anopheles species is yet to be determined but the role of reducing oxidative damage is essential in protection against insecticides, particularly pyrethroids. Furthermore, the over-transcription of GSTS1-2 has been found in the DDT and pyrethroid resistant phenotype of An. arabiensis [20] and pyrethroid resistant An. gambiae [74], and combined with the present data, suggest a role in insecticide resistance, even if only as a secondary function.
Cuticle thickening has been detected in a number of resistant mosquito species and enhances resistance by increasing the barrier against insecticides at the point of contact. Over-transcription of cuticle genes has been reported in An. gambiae s.s. [75] and An. funestus [76] and through the use of scanning electron microscopy [77], shown that the cuticle of pyrethroid resistant An. funestus was thicker than in susceptible mosquitoes. Larval and pupal cuticle-associated genes, along with a range of other cuticular genes were over-transcribed in a range of 2.1–8.2-fold.
Given the exceptionally high prevalence of malaria parasites in the vector populations in the area, and the fact that the data were generated from wild mosquitoes, it is interesting to note that a number of immune related genes were under-transcribed. Rivero et al. [78] proposed two explanations for this effect: 1) immunity may be compromized due to limitations in resources as the mosquito physiology is geared toward insecticide resistance; and 2) it is possible that insecticide resistance genes have a pleiotropic effect on genes associated with immunity. Similar outcomes have been observed in other insecticide resistant mosquito populations [79] and may be in response to the oxidative burden generated by P450 metabolism (as the prophenoloxidase cascade is also associated with oxidative stress) [80]. The CLIP proteins, along with trypsin and chymotrypsin like proteins have previously been implicated in mosquito immunity against Plasmodium [81], and recently RNAi mediated silencing of the serine protease, ClipC9, was shown to result in enhanced numbers of midgut oocysts [82].
Based on previous reports, a suite of ten detoxification enzyme genes were selected for assay by qPCR in An. gambiae. Such a strategy for testing metabolic resistance is better suited to an African context where expensive and highly technical assays are not always feasible due to lack of resources and funding. A suite of 10 genes was selected for testing metabolic resistance mechanisms in An. gambiae. The GST, GSTS1-2, showed the highest over-transcription with 31- and 7.6-fold increases in males and females respectively, followed by GSTe2, TPX 2 and CYP6M2, the orthologue of CYP6M7 in An. funestus.
A number of genes that were tested in An. gambiae showed only slight over-transcription despite having been significantly over-transcribed in other reports. This serves to highlight the fact that insecticide resistant populations of different Anopheles species and from different localities employ a multi-faceted system for protection. From this point of view, the testing of redox-associated transcripts is difficult. They play a critical role in resistance but as highlighted by Bonizzoni et al. [75], different enzymes are over-transcribed in different populations.

Conclusion

To date, limited information is available on the molecular mechanisms of insecticide resistance in the DRC, a country with a severe malaria burden. In the north-eastern part of the country, high levels of pyrethroid resistance were present. Fortunately, organophosphates remain effective and this work emphasizes the need for continued surveillance, and avoidance of a one-size-fits-all approach to vector control and insecticide resistance management.

Authors’ contributions

LN contributed to the design of the study, conducted the laboratory work, assisted with analyses, and wrote the manuscript. RHH arranged and performed the field collections and bioassays, and commented on and approved the manuscript. YLDM assisted with microarray experiments and provided comments on the manuscript. NC performed the microarray analyses, and commented on and approved the manuscript. RNC designed the microarray platform. MC assisted with bioassays, commented on and approved the manuscript. LLK conceptualized the project, assisted with laboratory bioassays, analysis and drafting of paper, provided comments on and approved the manuscript. All authors read and approved the final manuscript.

Acknowledgements

The authors thank the reviewers for feedback and helpful comments for improvement of the manuscript.

Competing interests

The authors declare that they have no competing interests.

Availability of data and materials

Data are included in this published article and its additional information files: Additional file 1.
Not applicable.
Not applicable.

Funding

DST/NRF South African Research Chairs Initiative to MC; PDP/NRF and NRF Competitive Research Funding for Rated Researchers to LLK.

Publisher’s Note

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Literatur
1.
Zurück zum Zitat Mouchet J, Manguin S, Sircoulon J, Laventure S, Faye O, Onapa AW, et al. Evolution of malaria in Africa for the past 40 years: impact of climatic and human factors. J Am Mosq Control Assoc. 1998;14:121–30.PubMed Mouchet J, Manguin S, Sircoulon J, Laventure S, Faye O, Onapa AW, et al. Evolution of malaria in Africa for the past 40 years: impact of climatic and human factors. J Am Mosq Control Assoc. 1998;14:121–30.PubMed
3.
Zurück zum Zitat WHO. World Malaria Report 2015. Geneva: World Health Organization; 2016. WHO. World Malaria Report 2015. Geneva: World Health Organization; 2016.
4.
Zurück zum Zitat Bobanga T, Umesumbu SE, Mandoko AS, Nsibu CN, Dotson EB, Beach RF, et al. Presence of species within the Anopheles gambiae complex in the Democratic Republic of Congo. Trans R Soc Trop Med Hyg. 2016;110:373–5.CrossRefPubMed Bobanga T, Umesumbu SE, Mandoko AS, Nsibu CN, Dotson EB, Beach RF, et al. Presence of species within the Anopheles gambiae complex in the Democratic Republic of Congo. Trans R Soc Trop Med Hyg. 2016;110:373–5.CrossRefPubMed
5.
Zurück zum Zitat Kelly-Hope LA, Molyneux DH, Bockarie MJ. Can malaria vector control accelerate the interruption of lymphatic filariasis transmission in Africa; capturing a window of opportunity? Parasit Vectors. 2013;6:39.CrossRefPubMedPubMedCentral Kelly-Hope LA, Molyneux DH, Bockarie MJ. Can malaria vector control accelerate the interruption of lymphatic filariasis transmission in Africa; capturing a window of opportunity? Parasit Vectors. 2013;6:39.CrossRefPubMedPubMedCentral
6.
Zurück zum Zitat WHO. Global plan for insecticide resistance management. Geneva: World Health Organization; 2012. WHO. Global plan for insecticide resistance management. Geneva: World Health Organization; 2012.
7.
Zurück zum Zitat Etang J, Nwane P, Mbida JA, Piameu M, Manga B, Souop D, et al. Variations of insecticide residual bio-efficacy on different types of walls: results from a community-based trial in south Cameroon. Malar J. 2011;10:333.CrossRefPubMedPubMedCentral Etang J, Nwane P, Mbida JA, Piameu M, Manga B, Souop D, et al. Variations of insecticide residual bio-efficacy on different types of walls: results from a community-based trial in south Cameroon. Malar J. 2011;10:333.CrossRefPubMedPubMedCentral
8.
Zurück zum Zitat Chanda E, Chanda J, Kandyata A, Phiri FN, Muzia L, Haque U, et al. Efficacy of ACTELLIC 300 CS, pirimiphos methyl, for indoor residual spraying in areas of high vector resistance to pyrethroids and carbamates in Zambia. J Med Entomol. 2013;50:1275–81.CrossRefPubMed Chanda E, Chanda J, Kandyata A, Phiri FN, Muzia L, Haque U, et al. Efficacy of ACTELLIC 300 CS, pirimiphos methyl, for indoor residual spraying in areas of high vector resistance to pyrethroids and carbamates in Zambia. J Med Entomol. 2013;50:1275–81.CrossRefPubMed
9.
Zurück zum Zitat Agossa FR, Aïkpon R, Azondékon R, Govoetchan R, Padonnou GG, Oussou O, et al. Efficacy of various insecticides recommended for indoor residual spraying: pirimiphos methyl, potential alternative to bendiocarb for pyrethroid resistance management in Benin, West Africa. Trans R Soc Trop Med Hyg. 2014;108:84–91.CrossRefPubMed Agossa FR, Aïkpon R, Azondékon R, Govoetchan R, Padonnou GG, Oussou O, et al. Efficacy of various insecticides recommended for indoor residual spraying: pirimiphos methyl, potential alternative to bendiocarb for pyrethroid resistance management in Benin, West Africa. Trans R Soc Trop Med Hyg. 2014;108:84–91.CrossRefPubMed
10.
Zurück zum Zitat Tchicaya ES, Nsanzabana C, Smith TA, Donze J, de Hipsl ML, Tano Y, et al. Micro-encapsulated pirimiphos-methyl shows high insecticidal efficacy and long residual activity against pyrethroid-resistant malaria vectors in central Cote d’Ivoire. Malar J. 2014;13:332.CrossRefPubMedPubMedCentral Tchicaya ES, Nsanzabana C, Smith TA, Donze J, de Hipsl ML, Tano Y, et al. Micro-encapsulated pirimiphos-methyl shows high insecticidal efficacy and long residual activity against pyrethroid-resistant malaria vectors in central Cote d’Ivoire. Malar J. 2014;13:332.CrossRefPubMedPubMedCentral
11.
Zurück zum Zitat WHO. World malaria report 2014. Geneva: World Health Organization; 2015. WHO. World malaria report 2014. Geneva: World Health Organization; 2015.
12.
Zurück zum Zitat Oduola AO, Idowu ET, Oyebola MK, Adeogun AO, Olojede JB, Otubanjo OA, et al. Evidence of carbamate resistance in urban populations of Anopheles gambiae s.s. mosquitoes resistant to DDT and deltamethrin insecticides in Lagos, South-Western Nigeria. Parasit Vectors. 2012;5:116.CrossRefPubMedPubMedCentral Oduola AO, Idowu ET, Oyebola MK, Adeogun AO, Olojede JB, Otubanjo OA, et al. Evidence of carbamate resistance in urban populations of Anopheles gambiae s.s. mosquitoes resistant to DDT and deltamethrin insecticides in Lagos, South-Western Nigeria. Parasit Vectors. 2012;5:116.CrossRefPubMedPubMedCentral
13.
Zurück zum Zitat Essandoh J, Yawson AE, Weetman D. Acetylcholinesterase (Ace-1) target site mutation 119S is strongly diagnostic of carbamate and organophosphate resistance in Anopheles gambiae s.s. and Anopheles coluzzii across southern Ghana. Malar J. 2013;12:404.CrossRefPubMedPubMedCentral Essandoh J, Yawson AE, Weetman D. Acetylcholinesterase (Ace-1) target site mutation 119S is strongly diagnostic of carbamate and organophosphate resistance in Anopheles gambiae s.s. and Anopheles coluzzii across southern Ghana. Malar J. 2013;12:404.CrossRefPubMedPubMedCentral
14.
Zurück zum Zitat Jones CM, Liyanapathirana M, Agossa FR, Weetman D, Ranson H, Donnelly MJ, et al. Footprints of positive selection associated with a mutation (N1575Y) in the voltage-gated sodium channel of Anopheles gambiae. Proc Natl Acad Sci USA. 2012;109:6614–9.CrossRefPubMedPubMedCentral Jones CM, Liyanapathirana M, Agossa FR, Weetman D, Ranson H, Donnelly MJ, et al. Footprints of positive selection associated with a mutation (N1575Y) in the voltage-gated sodium channel of Anopheles gambiae. Proc Natl Acad Sci USA. 2012;109:6614–9.CrossRefPubMedPubMedCentral
15.
Zurück zum Zitat Martinez-Torres D, Chandre F, Williamson MS, Darriet F, Berge JB, Devonshire AL, et al. Molecular characterization of pyrethroid knockdown resistance (kdr) in the major malaria vector Anopheles gambiae s.s.. Insect Mol Biol. 1998;7:179–84.CrossRefPubMed Martinez-Torres D, Chandre F, Williamson MS, Darriet F, Berge JB, Devonshire AL, et al. Molecular characterization of pyrethroid knockdown resistance (kdr) in the major malaria vector Anopheles gambiae s.s.. Insect Mol Biol. 1998;7:179–84.CrossRefPubMed
16.
Zurück zum Zitat Ranson H, Jensen B, Vulule JM, Wang X, Hemingway J, Collins FH. Identification of a point mutation in the voltage-gated sodium channel gene of Kenyan Anopheles gambiae associated with resistance to DDT and pyrethroids. Insect Mol Biol. 2000;9:491–7.CrossRefPubMed Ranson H, Jensen B, Vulule JM, Wang X, Hemingway J, Collins FH. Identification of a point mutation in the voltage-gated sodium channel gene of Kenyan Anopheles gambiae associated with resistance to DDT and pyrethroids. Insect Mol Biol. 2000;9:491–7.CrossRefPubMed
17.
Zurück zum Zitat Verhaeghen K, Van Bortel W, Roelants P, Backeljau T, Coosemans M. Detection of the East and West African kdr mutation in Anopheles gambiae and Anopheles arabiensis from Uganda using a new assay based on FRET/Melt Curve analysis. Malar J. 2006;5:16.CrossRefPubMedPubMedCentral Verhaeghen K, Van Bortel W, Roelants P, Backeljau T, Coosemans M. Detection of the East and West African kdr mutation in Anopheles gambiae and Anopheles arabiensis from Uganda using a new assay based on FRET/Melt Curve analysis. Malar J. 2006;5:16.CrossRefPubMedPubMedCentral
18.
Zurück zum Zitat Koekemoer LL, Spillings BL, Christian RN, Lo TC, Kaiser ML, Norton RA, et al. Multiple insecticide resistance in Anopheles gambiae (Diptera: Culicidae) from Pointe Noire, Republic of the Congo. Vector Borne Zoonotic Dis. 2011;11:1193–200.CrossRefPubMed Koekemoer LL, Spillings BL, Christian RN, Lo TC, Kaiser ML, Norton RA, et al. Multiple insecticide resistance in Anopheles gambiae (Diptera: Culicidae) from Pointe Noire, Republic of the Congo. Vector Borne Zoonotic Dis. 2011;11:1193–200.CrossRefPubMed
19.
Zurück zum Zitat Brooke BD. kdr: can a single mutation produce an entire insecticide resistance phenotype? Trans R Soc Trop Med Hyg. 2008;102:524–5.CrossRefPubMed Brooke BD. kdr: can a single mutation produce an entire insecticide resistance phenotype? Trans R Soc Trop Med Hyg. 2008;102:524–5.CrossRefPubMed
20.
Zurück zum Zitat Nardini L, Christian RN, Coetzer N, Ranson H, Coetzee M, Koekemoer LL. Detoxification enzymes associated with insecticide resistance in laboratory strains of Anopheles arabiensis of different geographic origin. Parasit Vectors. 2012;5:113.CrossRefPubMedPubMedCentral Nardini L, Christian RN, Coetzer N, Ranson H, Coetzee M, Koekemoer LL. Detoxification enzymes associated with insecticide resistance in laboratory strains of Anopheles arabiensis of different geographic origin. Parasit Vectors. 2012;5:113.CrossRefPubMedPubMedCentral
21.
Zurück zum Zitat Matowo J, Kitau J, Kaaya R, Kavishe R, Wright A, Kisinza W, et al. Trends in the selection of insecticide resistance in Anopheles gambiae s.l. mosquitoes in northwest Tanzania during a community randomized trial of longlasting insecticidal nets and indoor residual spraying. Med Vet Entomol. 2015;29:51–9.CrossRefPubMed Matowo J, Kitau J, Kaaya R, Kavishe R, Wright A, Kisinza W, et al. Trends in the selection of insecticide resistance in Anopheles gambiae s.l. mosquitoes in northwest Tanzania during a community randomized trial of longlasting insecticidal nets and indoor residual spraying. Med Vet Entomol. 2015;29:51–9.CrossRefPubMed
22.
Zurück zum Zitat Nwane P, Etang J, Chouaïbou M, Toto JC, Mimpfoundi R, Simard F. Kdr-based insecticide resistance in Anopheles gambiae s.s. populations in Cameroon: spread of L1014F and L1014S mutations. BMC Res Notes. 2011;4:463.CrossRefPubMedPubMedCentral Nwane P, Etang J, Chouaïbou M, Toto JC, Mimpfoundi R, Simard F. Kdr-based insecticide resistance in Anopheles gambiae s.s. populations in Cameroon: spread of L1014F and L1014S mutations. BMC Res Notes. 2011;4:463.CrossRefPubMedPubMedCentral
23.
Zurück zum Zitat Aizoun N, Aïkpon R, Akogbeto M. Evidence of increasing L1014F kdr mutation frequency in Anopheles gambiae s.l. pyrethroid resistant following a nationwide distribution of LLINs by the Beninese National Malaria Control Programme. Asian Pac. J Trop Biomed. 2014;4:239–43.CrossRef Aizoun N, Aïkpon R, Akogbeto M. Evidence of increasing L1014F kdr mutation frequency in Anopheles gambiae s.l. pyrethroid resistant following a nationwide distribution of LLINs by the Beninese National Malaria Control Programme. Asian Pac. J Trop Biomed. 2014;4:239–43.CrossRef
24.
Zurück zum Zitat Ibrahim SS, Manu YA, Tukur Z, Irving H, Wondji CS. High frequency of kdr L1014F is associated with pyrethroid resistance in Anopheles coluzzii in Sudan savannah of northern Nigeria. BMC Infect Dis. 2014;14:441.CrossRefPubMedPubMedCentral Ibrahim SS, Manu YA, Tukur Z, Irving H, Wondji CS. High frequency of kdr L1014F is associated with pyrethroid resistance in Anopheles coluzzii in Sudan savannah of northern Nigeria. BMC Infect Dis. 2014;14:441.CrossRefPubMedPubMedCentral
25.
Zurück zum Zitat Diabaté A, Baldet T, Chandre F, Dabire KR, Simard F, Ouedraogo JB, et al. First report of a kdr mutation in Anopheles arabiensis from Burkina Faso, West Africa. J Am Mosq Control Assoc. 2004;20:195–6.PubMed Diabaté A, Baldet T, Chandre F, Dabire KR, Simard F, Ouedraogo JB, et al. First report of a kdr mutation in Anopheles arabiensis from Burkina Faso, West Africa. J Am Mosq Control Assoc. 2004;20:195–6.PubMed
26.
Zurück zum Zitat Santolamazza F, Calzetta M, Etang J, Barrese E, Dia I, Caccone A, et al. Distribution of knock-down resistance mutations in Anopheles gambiae molecular forms in west and west-central Africa. Malar J. 2008;7:74.CrossRefPubMedPubMedCentral Santolamazza F, Calzetta M, Etang J, Barrese E, Dia I, Caccone A, et al. Distribution of knock-down resistance mutations in Anopheles gambiae molecular forms in west and west-central Africa. Malar J. 2008;7:74.CrossRefPubMedPubMedCentral
27.
Zurück zum Zitat Weill M, Malcolm C, Chandre F, Mogensen K, Berthomieu A, Marquine M, et al. The unique mutation in ace-1 giving high insecticide resistance is easily detectable in mosquito vectors. Insect Mol Biol. 2004;13:1–7.CrossRefPubMed Weill M, Malcolm C, Chandre F, Mogensen K, Berthomieu A, Marquine M, et al. The unique mutation in ace-1 giving high insecticide resistance is easily detectable in mosquito vectors. Insect Mol Biol. 2004;13:1–7.CrossRefPubMed
28.
Zurück zum Zitat Dabire RK, Namountougou M, Diabate A, Soma DD, Bado J, Toe HK, et al. Distribution and frequency of kdr mutations within Anopheles gambiae s.l. populations and first report of the ace.1 G119S mutation in Anopheles arabiensis from Burkina Faso (West Africa). PLoS ONE. 2014;9:e101484.CrossRefPubMedPubMedCentral Dabire RK, Namountougou M, Diabate A, Soma DD, Bado J, Toe HK, et al. Distribution and frequency of kdr mutations within Anopheles gambiae s.l. populations and first report of the ace.1 G119S mutation in Anopheles arabiensis from Burkina Faso (West Africa). PLoS ONE. 2014;9:e101484.CrossRefPubMedPubMedCentral
29.
Zurück zum Zitat Djogbenou L, Dabiré R, Diabaté A, Kengne P, Akogbeto M, Hougard JM, et al. Identification and geographic distribution of the ACE-1R mutation in the malaria vector Anopheles gambiae in south-western Burkina Faso, West Africa. Am J Trop Med Hyg. 2008;78:298–302.PubMed Djogbenou L, Dabiré R, Diabaté A, Kengne P, Akogbeto M, Hougard JM, et al. Identification and geographic distribution of the ACE-1R mutation in the malaria vector Anopheles gambiae in south-western Burkina Faso, West Africa. Am J Trop Med Hyg. 2008;78:298–302.PubMed
30.
Zurück zum Zitat Ahoua Alou LP, Koffi AA, Adja MA, Tia E, Kouassi PK, Kone M, et al. Distribution of ace-1R and resistance to carbamates and organophosphates in Anopheles gambiae s.s. populations from Cote d’Ivoire. Malar J. 2010;9:167.CrossRefPubMedPubMedCentral Ahoua Alou LP, Koffi AA, Adja MA, Tia E, Kouassi PK, Kone M, et al. Distribution of ace-1R and resistance to carbamates and organophosphates in Anopheles gambiae s.s. populations from Cote d’Ivoire. Malar J. 2010;9:167.CrossRefPubMedPubMedCentral
31.
Zurück zum Zitat Aïkpon R, Sezonlin M, Osse R, Akogbeto M. Evidence of multiple mechanisms providing carbamate and organophosphate resistance in field An. gambiae population from Atacora in Benin. Parasit Vectors. 2014;7:568.CrossRefPubMedPubMedCentral Aïkpon R, Sezonlin M, Osse R, Akogbeto M. Evidence of multiple mechanisms providing carbamate and organophosphate resistance in field An. gambiae population from Atacora in Benin. Parasit Vectors. 2014;7:568.CrossRefPubMedPubMedCentral
32.
Zurück zum Zitat Du W, Awolola TS, Howell P, Koekemoer LL, Brooke BD, Benedict MQ, et al. Independent mutations in the Rdl locus confer dieldrin resistance to Anopheles gambiae and An. arabiensis. Insect Mol Biol. 2005;14:179–83.CrossRefPubMed Du W, Awolola TS, Howell P, Koekemoer LL, Brooke BD, Benedict MQ, et al. Independent mutations in the Rdl locus confer dieldrin resistance to Anopheles gambiae and An. arabiensis. Insect Mol Biol. 2005;14:179–83.CrossRefPubMed
33.
Zurück zum Zitat Wondji CS, Dabiré RK, Tukur Z, Irving H, Djouaka R, Morgan JC. Identification and distribution of a GABA receptor mutation conferring dieldrin resistance in the malaria vector Anopheles funestus in Africa. Insect Biochem Mol Biol. 2011;41:484–91.CrossRefPubMedPubMedCentral Wondji CS, Dabiré RK, Tukur Z, Irving H, Djouaka R, Morgan JC. Identification and distribution of a GABA receptor mutation conferring dieldrin resistance in the malaria vector Anopheles funestus in Africa. Insect Biochem Mol Biol. 2011;41:484–91.CrossRefPubMedPubMedCentral
34.
Zurück zum Zitat Riveron JM, Yunta C, Ibrahim SS, Djouaka R, Irving H, Menze BD, et al. A single mutation in the GSTe2 gene allows tracking of metabolically based insecticide resistance in a major malaria vector. Genome Biol. 2014;15:R27.CrossRefPubMedPubMedCentral Riveron JM, Yunta C, Ibrahim SS, Djouaka R, Irving H, Menze BD, et al. A single mutation in the GSTe2 gene allows tracking of metabolically based insecticide resistance in a major malaria vector. Genome Biol. 2014;15:R27.CrossRefPubMedPubMedCentral
35.
Zurück zum Zitat Mitchell SN, Stevenson BJ, Müller P, Wilding CS, Egyir-Yawson A, Field SG, et al. Identification and validation of a gene causing cross-resistance between insecticide classes in Anopheles gambiae from Ghana. Proc Natl Acad Sci USA. 2012;109:6147–52.CrossRefPubMedPubMedCentral Mitchell SN, Stevenson BJ, Müller P, Wilding CS, Egyir-Yawson A, Field SG, et al. Identification and validation of a gene causing cross-resistance between insecticide classes in Anopheles gambiae from Ghana. Proc Natl Acad Sci USA. 2012;109:6147–52.CrossRefPubMedPubMedCentral
36.
Zurück zum Zitat Chiu TL, Wen Z, Rupasinghe SG, Schuler MA. Comparative molecular modeling of Anopheles gambiae CYP6Z1, a mosquito P450 capable of metabolizing DDT. Proc Natl Acad Sci USA. 2008;105:8855–60.CrossRefPubMedPubMedCentral Chiu TL, Wen Z, Rupasinghe SG, Schuler MA. Comparative molecular modeling of Anopheles gambiae CYP6Z1, a mosquito P450 capable of metabolizing DDT. Proc Natl Acad Sci USA. 2008;105:8855–60.CrossRefPubMedPubMedCentral
37.
Zurück zum Zitat Djouaka RF, Bakare AA, Coulibaly ON, Akogbeto MC, Ranson H, Hemingway J, 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 Genom. 2008;9:538.CrossRef Djouaka RF, Bakare AA, Coulibaly ON, Akogbeto MC, Ranson H, Hemingway J, 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 Genom. 2008;9:538.CrossRef
38.
Zurück zum Zitat Edi CV, Djogbenou L, Jenkins AM, Regna K, Muskavitch MA, Poupardin R, 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.CrossRefPubMedPubMedCentral Edi CV, Djogbenou L, Jenkins AM, Regna K, Muskavitch MA, Poupardin R, 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.CrossRefPubMedPubMedCentral
39.
Zurück zum Zitat Jones CM, Haji KA, Khatib BO, Bagi J, Mcha J, Devine GJ, 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.CrossRefPubMedPubMedCentral Jones CM, Haji KA, Khatib BO, Bagi J, Mcha J, Devine GJ, 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.CrossRefPubMedPubMedCentral
40.
Zurück zum Zitat Matowo J, Jones CM, Kabula B, Ranson H, Steen K, Mosha F, et al. Genetic basis of pyrethroid resistance in a population of Anopheles arabiensis, the primary malaria vector in Lower Moshi, north-eastern Tanzania. Parasit Vectors. 2014;7:274.CrossRefPubMedPubMedCentral Matowo J, Jones CM, Kabula B, Ranson H, Steen K, Mosha F, et al. Genetic basis of pyrethroid resistance in a population of Anopheles arabiensis, the primary malaria vector in Lower Moshi, north-eastern Tanzania. Parasit Vectors. 2014;7:274.CrossRefPubMedPubMedCentral
41.
Zurück zum Zitat Riveron JM, Ibrahim SS, Chanda E, Mzilahowa T, Cuamba N, Irving H, et al. The highly polymorphic CYP6M7 cytochrome P450 gene partners with the directionally selected CYP6P9a and CYP6P9b genes to expand the pyrethroid resistance front in the malaria vector Anopheles funestus in Africa. BMC Genom. 2014;15:817.CrossRef Riveron JM, Ibrahim SS, Chanda E, Mzilahowa T, Cuamba N, Irving H, et al. The highly polymorphic CYP6M7 cytochrome P450 gene partners with the directionally selected CYP6P9a and CYP6P9b genes to expand the pyrethroid resistance front in the malaria vector Anopheles funestus in Africa. BMC Genom. 2014;15:817.CrossRef
42.
Zurück zum Zitat Christian RN, Strode C, Ranson H, Coetzer N, Coetzee M, Koekemoer LL. Microarray analysis of a pyrethroid resistant African malaria vector, Anopheles funestus, from southern Africa. Pest Biochem Physiol. 2011;99:140–7.CrossRef Christian RN, Strode C, Ranson H, Coetzer N, Coetzee M, Koekemoer LL. Microarray analysis of a pyrethroid resistant African malaria vector, Anopheles funestus, from southern Africa. Pest Biochem Physiol. 2011;99:140–7.CrossRef
43.
Zurück zum Zitat Gillies MT, Coetzee M. A supplement to the Anophelinae of Africa south of the Sahara (Afrotropical Region). Publ S. Afr Inst Med Res. 1987;55:12–36. Gillies MT, Coetzee M. A supplement to the Anophelinae of Africa south of the Sahara (Afrotropical Region). Publ S. Afr Inst Med Res. 1987;55:12–36.
44.
Zurück zum Zitat Scott JA, Brogdon WG, Collins FH. Identification of single specimens of the Anopheles gambiae complex by the polymerase chain reaction. Am J Trop Med Hyg. 1993;49:520–9.CrossRefPubMed Scott JA, Brogdon WG, Collins FH. Identification of single specimens of the Anopheles gambiae complex by the polymerase chain reaction. Am J Trop Med Hyg. 1993;49:520–9.CrossRefPubMed
45.
Zurück zum Zitat Favia G, Lanfrancotti A, Spanos L, Siden-Kiamos I, Louis C. Molecular characterization of ribosomal DNA polymorphisms discriminating among chromosomal forms of Anopheles gambiae s.s.. Insect Mol Biol. 2001;10:19–23.CrossRefPubMed Favia G, Lanfrancotti A, Spanos L, Siden-Kiamos I, Louis C. Molecular characterization of ribosomal DNA polymorphisms discriminating among chromosomal forms of Anopheles gambiae s.s.. Insect Mol Biol. 2001;10:19–23.CrossRefPubMed
46.
Zurück zum Zitat Koekemoer LL, Kamau L, Hunt RH, Coetzee M. A cocktail polymerase chain reaction assay to identify members of the Anopheles funestus (Diptera: Culicidae) group. Am J Trop Med Hyg. 2002;66:804–11.CrossRefPubMed Koekemoer LL, Kamau L, Hunt RH, Coetzee M. A cocktail polymerase chain reaction assay to identify members of the Anopheles funestus (Diptera: Culicidae) group. Am J Trop Med Hyg. 2002;66:804–11.CrossRefPubMed
47.
Zurück zum Zitat Wirtz RA, Duncan JF, Njelesani EK, Schneider I, Brown AE, Oster CN, et al. ELISA method for detecting Plasmodium falciparum circumsporozoite antibody. Bull World Health Organ. 1989;67:535–42.PubMedPubMedCentral Wirtz RA, Duncan JF, Njelesani EK, Schneider I, Brown AE, Oster CN, et al. ELISA method for detecting Plasmodium falciparum circumsporozoite antibody. Bull World Health Organ. 1989;67:535–42.PubMedPubMedCentral
48.
Zurück zum Zitat Durnez L, Van Bortel W, Denis L, Roelants P, Veracx A, Trung HD, et al. False positive circumsporozoite protein ELISA: a challenge for the estimation of the entomological inoculation rate of malaria and for vector incrimination. Malar J. 2011;10:195.CrossRefPubMedPubMedCentral Durnez L, Van Bortel W, Denis L, Roelants P, Veracx A, Trung HD, et al. False positive circumsporozoite protein ELISA: a challenge for the estimation of the entomological inoculation rate of malaria and for vector incrimination. Malar J. 2011;10:195.CrossRefPubMedPubMedCentral
49.
Zurück zum Zitat WHO. Test procedures for inecticide resistance monitoring in malaria vector mosquitoes. Geneva: World Health Organization; 2016. WHO. Test procedures for inecticide resistance monitoring in malaria vector mosquitoes. Geneva: World Health Organization; 2016.
50.
Zurück zum Zitat Bass C, Nikou D, Vontas J, Donnelly MJ, Williamson MS, Field LM. The vector population monitoring tool (VPMT): high-throughput DNA-based diagnostics for the monitoring of mosquito vector populations. Malar Res Treat. 2010;2010:190434.PubMedPubMedCentral Bass C, Nikou D, Vontas J, Donnelly MJ, Williamson MS, Field LM. The vector population monitoring tool (VPMT): high-throughput DNA-based diagnostics for the monitoring of mosquito vector populations. Malar Res Treat. 2010;2010:190434.PubMedPubMedCentral
51.
Zurück zum Zitat Nardini L, Christian RN, Coetzer N, Koekemoer LL. DDT and pyrethroid resistance in Anopheles arabiensis from South Africa. Parasit Vectors. 2013;6:229.CrossRefPubMedPubMedCentral Nardini L, Christian RN, Coetzer N, Koekemoer LL. DDT and pyrethroid resistance in Anopheles arabiensis from South Africa. Parasit Vectors. 2013;6:229.CrossRefPubMedPubMedCentral
52.
Zurück zum Zitat Bustin SA, Benes V, Garson JA, Hellemans J, Huggett J, Kubista M, et al. The MIQE guidelines: minimum information for publication of quantitative real-time PCR experiments. Clin Chem. 2009;55:611–22.CrossRefPubMed Bustin SA, Benes V, Garson JA, Hellemans J, Huggett J, Kubista M, et al. The MIQE guidelines: minimum information for publication of quantitative real-time PCR experiments. Clin Chem. 2009;55:611–22.CrossRefPubMed
53.
Zurück zum Zitat Anderson CL, Jensen JL, Omtoft TF. Normalization of real-time quantitative reverse transcription-PCR data: a model-based variance estimation approach to identify genes suited for normalization, applied to bladder and colon cancer data sets. Cancer Res. 2004;64:5245–50.CrossRef Anderson CL, Jensen JL, Omtoft TF. Normalization of real-time quantitative reverse transcription-PCR data: a model-based variance estimation approach to identify genes suited for normalization, applied to bladder and colon cancer data sets. Cancer Res. 2004;64:5245–50.CrossRef
55.
Zurück zum Zitat Smythe GK. Limma: linear models for microarray data. New York: Springer; 2005. Smythe GK. Limma: linear models for microarray data. New York: Springer; 2005.
58.
Zurück zum Zitat Conesa A, Gotz S, Garcia-Gomez JM, Terol J, Talon M, Robles M. Blast2GO: a universal tool for annotation, visualization and analysis in functional genomics research. Bioinformatics. 2005;21:3674–6.CrossRefPubMed Conesa A, Gotz S, Garcia-Gomez JM, Terol J, Talon M, Robles M. Blast2GO: a universal tool for annotation, visualization and analysis in functional genomics research. Bioinformatics. 2005;21:3674–6.CrossRefPubMed
59.
Zurück zum Zitat Altschul SF, Gish W, Miller W, Myers EW, Lipman DJ. Basic local alignment search tool. J Mol Biol. 1990;215:403–10.CrossRefPubMed Altschul SF, Gish W, Miller W, Myers EW, Lipman DJ. Basic local alignment search tool. J Mol Biol. 1990;215:403–10.CrossRefPubMed
61.
Zurück zum Zitat Ciechanover A, Orian A, Schwartz AL. Ubiquitin-mediated proteolysis: biological regulation via destruction. BioEssays. 2000;22:442–51.CrossRefPubMed Ciechanover A, Orian A, Schwartz AL. Ubiquitin-mediated proteolysis: biological regulation via destruction. BioEssays. 2000;22:442–51.CrossRefPubMed
62.
Zurück zum Zitat Herranz R, Mateos J, Marco R. Diversification and independent evolution of troponin C genes in insects. J Mol Evol. 2005;60:31–44.CrossRefPubMed Herranz R, Mateos J, Marco R. Diversification and independent evolution of troponin C genes in insects. J Mol Evol. 2005;60:31–44.CrossRefPubMed
63.
Zurück zum Zitat Weedall GD, Irving H, Hughes MA, Wondji CS. Molecular tools for studying the major malaria vector Anopheles funestus: improving the utility of the genome using a comparative poly(A) and Ribo-Zero RNAseq analysis. BMC Genom. 2015;16:931.CrossRef Weedall GD, Irving H, Hughes MA, Wondji CS. Molecular tools for studying the major malaria vector Anopheles funestus: improving the utility of the genome using a comparative poly(A) and Ribo-Zero RNAseq analysis. BMC Genom. 2015;16:931.CrossRef
64.
Zurück zum Zitat Basilua Kanza JP, El Fahime E, Alaoui S, el Essassi M, Brooke B, Nkebolo Malafu A, et al. Pyrethroid, DDT and malathion resistance in the malaria vector Anopheles gambiae from the Democratic Republic of Congo. Trans R Soc Trop Med Hyg. 2013;107:8–14.CrossRefPubMed Basilua Kanza JP, El Fahime E, Alaoui S, el Essassi M, Brooke B, Nkebolo Malafu A, et al. Pyrethroid, DDT and malathion resistance in the malaria vector Anopheles gambiae from the Democratic Republic of Congo. Trans R Soc Trop Med Hyg. 2013;107:8–14.CrossRefPubMed
65.
Zurück zum Zitat Wondji CS, Irving H, Morgan J, Lobo NF, Collins FH, Hunt RH, et al. Two duplicated P450 genes are associated with pyrethroid resistance in Anopheles funestus, a major malaria vector. Genome Res. 2009;19:452–9.CrossRefPubMedPubMedCentral Wondji CS, Irving H, Morgan J, Lobo NF, Collins FH, Hunt RH, et al. Two duplicated P450 genes are associated with pyrethroid resistance in Anopheles funestus, a major malaria vector. Genome Res. 2009;19:452–9.CrossRefPubMedPubMedCentral
66.
Zurück zum Zitat Riveron JM, Irving H, Ndula M, Barnes KG, Ibrahim SS, Paine MJ, 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 USA. 2013;110:252–7.CrossRefPubMed Riveron JM, Irving H, Ndula M, Barnes KG, Ibrahim SS, Paine MJ, 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 USA. 2013;110:252–7.CrossRefPubMed
67.
Zurück zum Zitat Riveron JM, Chiumia M, Menze BD, Barnes KG, Irving H, Ibrahim SS, et al. Rise of multiple insecticide resistance in Anopheles funestus in Malawi: a major concern for malaria vector control. Malar J. 2015;14:344.CrossRefPubMedPubMedCentral Riveron JM, Chiumia M, Menze BD, Barnes KG, Irving H, Ibrahim SS, et al. Rise of multiple insecticide resistance in Anopheles funestus in Malawi: a major concern for malaria vector control. Malar J. 2015;14:344.CrossRefPubMedPubMedCentral
68.
Zurück zum Zitat Coetzee M, Koekemoer LL. Molecular systematics and insecticide resistance in the major African malaria vector Anopheles funestus. Annu Rev Entomol. 2013;58:393–412.CrossRefPubMed Coetzee M, Koekemoer LL. Molecular systematics and insecticide resistance in the major African malaria vector Anopheles funestus. Annu Rev Entomol. 2013;58:393–412.CrossRefPubMed
69.
Zurück zum Zitat Riveron JM, Osae M, Egyir-Yawson A, Irving H, Ibrahim SS, Wondji CS. Multiple insecticide resistance in the major malaria vector Anopheles funestus in southern Ghana: implications for malaria control. Parasit Vectors. 2016;9:504.CrossRefPubMedPubMedCentral Riveron JM, Osae M, Egyir-Yawson A, Irving H, Ibrahim SS, Wondji CS. Multiple insecticide resistance in the major malaria vector Anopheles funestus in southern Ghana: implications for malaria control. Parasit Vectors. 2016;9:504.CrossRefPubMedPubMedCentral
70.
Zurück zum Zitat David JP, Strode C, Vontas J, Nikou D, Vaughan A, Pignatelli PM, et al. The Anopheles gambiae detoxification chip: a highly specific microarray to study metabolic-based insecticide resistance in malaria vectors. Proc Natl Acad Sci USA. 2005;102:4080–4.CrossRefPubMedPubMedCentral David JP, Strode C, Vontas J, Nikou D, Vaughan A, Pignatelli PM, et al. The Anopheles gambiae detoxification chip: a highly specific microarray to study metabolic-based insecticide resistance in malaria vectors. Proc Natl Acad Sci USA. 2005;102:4080–4.CrossRefPubMedPubMedCentral
71.
Zurück zum Zitat Lumjuan N, McCarroll L, Prapanthadara LA, Hemingway J, Ranson H. Elevated activity of an Epsilon class glutathione transferase confers DDT resistance in the dengue vector, Aedes aegypti. Insect Biochem Mol Biol. 2005;35:861–71.CrossRefPubMed Lumjuan N, McCarroll L, Prapanthadara LA, Hemingway J, Ranson H. Elevated activity of an Epsilon class glutathione transferase confers DDT resistance in the dengue vector, Aedes aegypti. Insect Biochem Mol Biol. 2005;35:861–71.CrossRefPubMed
72.
Zurück zum Zitat Riveron JM, Ibrahim SS, Mulamba C, Djouaka R, Irving H, Wondji MJ. Genome-wide transcription and functional analyses reveal heterogeneous molecular mechanisms driving pyrethroids resistance in the major malaria vector Anopheles funestus across Africa. G3 (Bethesda). 2017;7:1819–32. Riveron JM, Ibrahim SS, Mulamba C, Djouaka R, Irving H, Wondji MJ. Genome-wide transcription and functional analyses reveal heterogeneous molecular mechanisms driving pyrethroids resistance in the major malaria vector Anopheles funestus across Africa. G3 (Bethesda). 2017;7:1819–32.
73.
Zurück zum Zitat Yan H, Jia H, Gao H, Guo X, Xu B. Identification, genomic organization, and oxidative stress response of a sigma class glutathione S-transferase gene (AccGSTS1) in the honey bee, Apis cerana cerana. Cell Stress Chaperones. 2013;18:415–26.CrossRefPubMed Yan H, Jia H, Gao H, Guo X, Xu B. Identification, genomic organization, and oxidative stress response of a sigma class glutathione S-transferase gene (AccGSTS1) in the honey bee, Apis cerana cerana. Cell Stress Chaperones. 2013;18:415–26.CrossRefPubMed
74.
Zurück zum Zitat Müller P, Donnelly MJ, Ranson H. Transcription profiling of a recently colonised pyrethroid resistant Anopheles gambiae strain from Ghana. BMC Genom. 2007;8:36.CrossRef Müller P, Donnelly MJ, Ranson H. Transcription profiling of a recently colonised pyrethroid resistant Anopheles gambiae strain from Ghana. BMC Genom. 2007;8:36.CrossRef
75.
Zurück zum Zitat Bonizzoni M, Afrane Y, Dunn WA, Atieli FK, Zhou G, Zhong D, et al. Comparative transcriptome analyses of deltamethrin-resistant and -susceptible Anopheles gambiae mosquitoes from Kenya by RNA-Seq. PLoS ONE. 2012;7:e44607.CrossRefPubMedPubMedCentral Bonizzoni M, Afrane Y, Dunn WA, Atieli FK, Zhou G, Zhong D, et al. Comparative transcriptome analyses of deltamethrin-resistant and -susceptible Anopheles gambiae mosquitoes from Kenya by RNA-Seq. PLoS ONE. 2012;7:e44607.CrossRefPubMedPubMedCentral
76.
Zurück zum Zitat Gregory R, Darby AC, Irving H, Coulibaly MB, Hughes M, Koekemoer LL, et al. A de novo expression profiling of Anopheles funestus, malaria vector in Africa, using 454 pyrosequencing. PLoS ONE. 2011;6:e17418.CrossRefPubMedPubMedCentral Gregory R, Darby AC, Irving H, Coulibaly MB, Hughes M, Koekemoer LL, et al. A de novo expression profiling of Anopheles funestus, malaria vector in Africa, using 454 pyrosequencing. PLoS ONE. 2011;6:e17418.CrossRefPubMedPubMedCentral
77.
Zurück zum Zitat Wood O, Hanrahan S, Coetzee M, Koekemoer L, Brooke B. Cuticle thickening associated with pyrethroid resistance in the major malaria vector Anopheles funestus. Parasit Vectors. 2010;3:67.CrossRefPubMedPubMedCentral Wood O, Hanrahan S, Coetzee M, Koekemoer L, Brooke B. Cuticle thickening associated with pyrethroid resistance in the major malaria vector Anopheles funestus. Parasit Vectors. 2010;3:67.CrossRefPubMedPubMedCentral
78.
Zurück zum Zitat Rivero A, Vezilier J, Weill M, Read AF, Gandon S. Insecticide control of vector-borne diseases: when is insecticide resistance a problem? PLoS Pathog. 2010;6:e1001000.CrossRefPubMedPubMedCentral Rivero A, Vezilier J, Weill M, Read AF, Gandon S. Insecticide control of vector-borne diseases: when is insecticide resistance a problem? PLoS Pathog. 2010;6:e1001000.CrossRefPubMedPubMedCentral
79.
Zurück zum Zitat David JP, Faucon F, Chandor-Proust A, Poupardin R, Riaz MA, Bonin A, et al. Comparative analysis of response to selection with three insecticides in the dengue mosquito Aedes aegypti using mRNA sequencing. BMC Genom. 2014;15:174.CrossRef David JP, Faucon F, Chandor-Proust A, Poupardin R, Riaz MA, Bonin A, et al. Comparative analysis of response to selection with three insecticides in the dengue mosquito Aedes aegypti using mRNA sequencing. BMC Genom. 2014;15:174.CrossRef
80.
Zurück zum Zitat Moreno-Garcia M, Recio-Totoro B, Claudio-Piedras F, Lanz-Mendoza H. Injury and immune response: applying the danger theory to mosquitoes. Front Plant Sci. 2014;5:451.PubMedPubMedCentral Moreno-Garcia M, Recio-Totoro B, Claudio-Piedras F, Lanz-Mendoza H. Injury and immune response: applying the danger theory to mosquitoes. Front Plant Sci. 2014;5:451.PubMedPubMedCentral
81.
Zurück zum Zitat Volz J, Osta MA, Kafatos FC, Muller HM. The roles of two clip domain serine proteases in innate immune responses of the malaria vector Anopheles gambiae. J Biol Chem. 2005;280:40161–8.CrossRefPubMed Volz J, Osta MA, Kafatos FC, Muller HM. The roles of two clip domain serine proteases in innate immune responses of the malaria vector Anopheles gambiae. J Biol Chem. 2005;280:40161–8.CrossRefPubMed
82.
Zurück zum Zitat Mitri C, Markianos K, Guelbeogo WM, Bischoff E, Gneme A, Eiglmeier K, et al. The kdr-bearing haplotype and susceptibility to Plasmodium falciparum in Anopheles gambiae: genetic correlation and functional testing. Malar J. 2015;14:391.CrossRefPubMedPubMedCentral Mitri C, Markianos K, Guelbeogo WM, Bischoff E, Gneme A, Eiglmeier K, et al. The kdr-bearing haplotype and susceptibility to Plasmodium falciparum in Anopheles gambiae: genetic correlation and functional testing. Malar J. 2015;14:391.CrossRefPubMedPubMedCentral
83.
Zurück zum Zitat Munhenga G, Koekemoer LL. Differential expression of cytochrome P450 genes in a laboratory selected Anopheles arabiensis colony. Afr J Biotechnol. 2011;10:12741–6. Munhenga G, Koekemoer LL. Differential expression of cytochrome P450 genes in a laboratory selected Anopheles arabiensis colony. Afr J Biotechnol. 2011;10:12741–6.
84.
Zurück zum Zitat Amenya DA, Naguran R, Lo TC, Ranson H, Spillings BL, Wood OR, et al. Over expression of a cytochrome P450 (CYP6P9) in a major African malaria vector, Anopheles funestus, resistant to pyrethroids. Insect Mol Biol. 2008;17:19–25.CrossRefPubMed Amenya DA, Naguran R, Lo TC, Ranson H, Spillings BL, Wood OR, et al. Over expression of a cytochrome P450 (CYP6P9) in a major African malaria vector, Anopheles funestus, resistant to pyrethroids. Insect Mol Biol. 2008;17:19–25.CrossRefPubMed
Metadaten
Titel
Malaria vectors in the Democratic Republic of the Congo: the mechanisms that confer insecticide resistance in Anopheles gambiae and Anopheles funestus
verfasst von
Luisa Nardini
Richard H. Hunt
Yael L. Dahan-Moss
Nanette Christie
Riann N. Christian
Maureen Coetzee
Lizette L. Koekemoer
Publikationsdatum
01.12.2017
Verlag
BioMed Central
Erschienen in
Malaria Journal / Ausgabe 1/2017
Elektronische ISSN: 1475-2875
DOI
https://doi.org/10.1186/s12936-017-2099-y

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