Skip to main content
Download PDF

Distribution of acetylcholinesterase (Ace-1R) target-site G119S mutation and resistance to carbamates and organophosphates in Anopheles gambiae sensu lato populations from Cameroon

Parasites & Vectors volume 15, Article number: 53 (2022) Cite this article

Abstract

Background

Cameroon is considering the implementation of indoor residual spraying (IRS) as a complementary measure to control malaria in the context of high pyrethroid resistance in major malaria vectors. Non-pyrethroid insecticide classes such as organophosphates and carbamates may be utilized in IRS due to widespread pyrethroid resistance. However, the success of this strategy depends on good knowledge of the resistance status of malaria vectors to carbamates and organophosphates. Here, we assessed the susceptibility profile of Anopheles gambiae sensu lato with respect to carbamates and organophosphate and the distribution of the molecular mechanism underlying resistance to these insecticides.

Methods

Anopheles gambiae s.l. mosquitoes were collected from nine settings across the country and bio-assayed with bendiocarb, propoxur and pirimiphos-methyl. The Ace-1 target-site G119S mutation was genotyped using a TaqMan assay. To investigate the polymorphism in the Ace-1 gene, a region of 924 base pairs in a sequence of the gene was amplified from both live and dead females of An. gambiae exposed to bendiocarb.

Results

Pirimiphos-methyl induced full mortality in An. gambiae s.l. from all study sites, whereas for carbamates, resistance was observed in four localities, with the lowest mortality rate recorded in Mangoum (17.78 ± 5.02% for bendiocarb and 18.61 ± 3.86% for propoxur) in the southern part of Cameroon. Anopheles coluzzii was found to be the predominant species in the northern tropical part of the country where it is sympatric with Anopheles arabiensis. In the localities situated in southern equatorial regions, this species was predominant in urban settings, while An. gambiae was the most abundant species in rural areas. The G119S Ace-1 target-site mutation was detected only in An. gambiae and only in the sites located in southern Cameroon. Phylogenetic analyses showed a clustering according to the phenotype.

Conclusion

The occurrence of the Ace-1 target-site substitution G119S in An. gambiae s.l. populations highlights the challenge associated with the impending deployment of IRS in Cameroon using carbamates or organophosphates. It is therefore important to think about a resistance management plan including the use of other insecticide classes such as neonicotinoids or pyrrole to guarantee the implementation of IRS in Cameroon.

Graphical Abstract

Background

Since the beginning of the 2000s, malaria control in Africa has been marked by intensive use of insecticide-based vector control strategies such as long-lasting insecticidal nets (LLINs) and indoor residual spraying (IRS) [1]. The rapid scaling up of these strategies has been so far the largest contributor to the decline recorded in malaria morbidity and mortality during the past two decades [1]. The World Health Organization (WHO) African Region in particular has achieved impressive reductions in its annual malaria mortality, from 840,000 deaths in 2000 to 602,000 in 2020 [2]. However, despite this significant progress, malaria remains a major public health concern in sub-Saharan Africa, with 10 countries listed among the 11 that account for approximately 70% of the world’s malaria burden [3].

Cameroon is among the 10 African countries most affected by malaria [3]. This disease remains the leading cause of morbidity and mortality in health facilities in the country. In 2018, malaria was responsible for 25.8% of health facility consultations and 14.3% of deaths [3, 4]. In the same year, hospital morbidity due to malaria was 31.5% among children under five and 22.3% among pregnant women [4]. Based on the severity of the problem, the Cameroonian government has made the fight against malaria a national priority highlighted in its national strategic planning documents, in particular the Health Sector Strategy 2016–2027 [5].

Over the past decade, the country has conducted three nationwide free LLIN distribution campaigns, notably in 2011, 2015 and 2019, resulting in 69% of the population possessing a LLIN and 73.4% of households with at least one LLIN for two persons [6]. Unfortunately, the exclusive use of pyrethroids for bed net impregnation has led to the development and rapid spread of resistance to this insecticide class in major malaria vectors across the country [7,8,9,10,11]. Pyrethroid resistance in malaria vectors has been reported to be one major factor that could compromise efforts put in place to reduce the malaria burden in sub-Saharan African countries [12]. To address this situation and to achieve its goal of reducing malaria-related morbidity and mortality by 60% from 2015 levels by 2023 [5], the Cameroonian government has introduced in its strategic plan against malaria, additional vector control interventions using insecticides of a different mode of action in combination with LLINs [5], as recommended by WHO [13]. For this purpose, with support from the President’s Malaria Initiative (PMI), the National Malaria Control Programme (NMCP) is currently preparing for the deployment of IRS in some districts of the country shortly [14]. Thus, many insecticides belonging to carbamates (bendiocarb), organophosphates (pirimiphos-methyl), neonicotinoids (clothianidin) and pyrrole (chlorfenapyr) classes are currently being tested to generate evidence that would guide the choice of suitable insecticide classes for IRS implementation in Cameroon.

The scaling up of carbamate- and organophosphate-based IRS using bendiocarb and pirimiphos-methyl in sub-Saharan Africa has been successful in several epidemiological settings and contributed to reducing malaria transmission rates during the last decade [15, 16]. However, as observed with pyrethroids, the use of these molecules in IRS also led to the development of insecticide resistance in major African malaria vectors [17,18,19,20].

In Cameroon, carbamates and organophosphates have never been used in public health, and very little information on the susceptibility profile of malaria vectors across the country is available. However, since 2011, limited data from a few localities indicates a reduction in mortality rates in Anopheles gambiae sensu lato mosquito populations after exposure to carbamates [21,22,23]. Moreover, we recently demonstrated for the first time that resistance to carbamate is associated with the acetylcholinesterase (Ace-1R) target-site mutation G119S in an An. gambiae population from one locality in a forested area in central Cameroon [23]. If this Ace-1R mutation and other mechanisms such as overexpression of some detoxification enzymes spread across the country, it could compromise the effectiveness of the IRS strategy using these two insecticide classes. Therefore, to facilitate the rational deployment of such a strategy, information on the resistance to carbamates and organophosphates as well as the distribution of the Ace-1R G119S mutation in malaria vectors across the country is vital. For this purpose, the present study aimed to characterize patterns of susceptibility to carbamate and organophosphate in natural populations of An. gambiae s.l. across Cameroon and to investigate the distribution of the G119S mutation nationwide.

Methods

Study sites and mosquito sampling

Anopheles gambiae s.l. mosquitoes were collected between September and November 2019 in nine localities across the country (Fig. 1). The sites where mosquitoes were sampled in this study are all NMCP sentinel sites where entomological surveillance activities are currently implemented. These localities include the following:

Fig. 1
figure 1

Map of Cameroon showing settings where wild An. gambiae s.l. mosquitoes were collected. The study sites where the samples were collected are represented by points. The map was constructed for this publication in QGIS 3.16 (https://www.qgis.org/fr/site/index.html) using country and region boundaries from GADM (https://gadm.org/download_country_v3.html)

Full size image

- Seven localities from the southern equatorial forest zone in the south: Nkolbisson (3°87′N; 11°45′E), Bertoua (4°57′N; 13°68′E), Edéa (3°47′N; 10°07′E), Bonaberi (4°04’N; 9°39’E), Ebolowa (2°54' N, 11°9' E), Nyabessang (2°80'N, 10°25'E) and Mangoum (05°28’N, 10°35’E). These localities are characterized by a hot and humid climate with abundant rainfall and perennial malaria transmission for 7–12 months each year. The entomological inoculation rate in these areas is up to 100 infective bites/person/month [4].

- Gounougou (9°03′N, 13°43′E) in the tropical/Sudanian zone in the North region, characterized by seasonal malaria transmission, 4–6 months, with entomologic inoculation rate of 10 infective bites/person/month [4].

- Simatou (10°34′N, 14°30′E) in the Sahelian zone in the Far North region, characterized by a hot and dry tropical climate; malaria transmission is also seasonal, 1–3 months, with entomologic inoculation rate of 10 infective bites/person/month [4].

Mosquitoes were collected using two sampling methods:

Larval and pupae collection: This method was used in the localities of Nyabessang, Nkolbisson, Bertoua, Edéa, Bonaberi and Ebolowa, where densities of immature stages of An. gambiae s.l. were high. In each locality, larvae (L1 to L4) and pupae were collected in different types of breeding habitats including temporary or permanent puddles, brick pits, ponds and animal footprints using the “dipping” technique [24]. Larvae were transferred in well-labelled containers and then transported to the insectary at the Centre for Research in Infectious Diseases (CRID) in Yaoundé, where they were allowed to emerge into adults under standard insectary conditions (25 ± 2 °C temperature, 70–80% relative humidity, 12:12-h light/dark cycle). Emerged adults were maintained on 10% sucrose in cages.

Adult collection: This method was applied in the localities of Gounougou, Mangoum and Simatou, where An. gambiae s.l. productive breeding sites were found in low density. In each locality, after obtaining verbal consent from the household owners, indoor resting blood-fed or gravid adult female Anopheles mosquitoes were collected from the walls and roofs of different houses across the community between 6:00 AM and 10:00 AM using Prokopack electrical aspirators (John W. Hock, Gainesville, FL, USA). Captured mosquitoes were kept in paper cups in a cool place before transporting them to the insectary at CRID. Captured blood-fed female mosquitoes were kept until fully gravid and induced to lay eggs in individual 1.5-ml microcentrifuge tubes as described previously [25]. Eggs were stored at room temperature for up to 2 days and then transferred into small paper cups containing water to hatch. Larvae were transferred into bowls containing water and reared to F1 adults. Emerged adult mosquitoes were randomly mixed in cages and maintained on 10% sucrose under standard insectary conditions (temperature of 25 °C, relative humidity of 70–80% and 12:12-h light/dark cycle).

All adult mosquitoes obtained were morphologically identified and sorted by species according to the morphological identification keys of Gillies and De Meillon [26] and Gillies and Coetzee [27].

Insecticide susceptibility bioassays

Insecticide susceptibility bioassays were performed using WHO insecticide-impregnated filter papers purchased from the Vector Control Research Unit (VCRU), University Sains Malaysia (http:/www. inreskit.usm.my). Non-blood-fed female An. gambiae s.l. of two to five days old were exposed to bendiocarb (0.1%), propoxur (1%) and pirimiphos-methyl (1%) using the WHO standard procedure for adult mosquitoes [28]. For each insecticide, four replicates of 20–25 mosquitoes per tube with four replicates were exposed to insecticide-impregnated papers for 1 h. Meanwhile, two batches of 20–25 mosquitoes exposed to untreated paper were used as a control. After the exposure period, mosquitoes were transferred to a clean holding tube, maintained at 28 ± 1 °C and 80 ± 10% relative humidity, and fed 10% sugar solution. The mortality was recorded 24 h post-exposure to insecticide-impregnated papers, and resistance status was evaluated according to the WHO criteria [28]. At the end of the test, live and dead mosquitoes were stored separately in silica gel and kept at −20 °C for molecular identification and resistance gene screening.

Molecular identification of An. gambiae s.l.

For each insecticide, the genomic DNA of both live and dead mosquitoes after bioassays was extracted using the DNA extraction protocol described by Livak [29]. This DNA was used to identify sibling species of the Anopheles gambiae complex following the SINE PCR as previously described by Santolamazza et al. [30]. For each locality, mosquitoes were identified and separately sorted to An. gambiae, An. coluzzii and An. arabiensis.

Ace-1 G119S mutation genotyping

The presence of the G119S mutation in each member of the An. gambiae complex was screened using the TaqMan real-time PCR assay using Agilent Mx3005 Real-Time PCR thermocycler (Santa Clara, CA, USA) following the protocol described by Bass and colleagues [31]. For each sample, the reaction was conducted in a total volume of 10 µl comprising 5 µl SensiMix (Bioline, London, UK), 0.25 µl of 40× Probe Mix coupled to allelic-specific primers [Ace-1 forward (5′-GGC CGT CAT GCT GTG GAT-3′); Ace-1 reverse (5′-GCG GTG CCG GAG TAG A-3′); ACE1-VIC (5′-TTC GGC GGC GGC T-3′); ACE1-6-FAM (5′-TTC GGC GGC AGCT-3′)], 4.25 µl of dH20 and 1 µl of genomic DNA. Thermal cycling conditions were an initial 10 min at 95 °C, followed by 40 cycles each of 92 °C for 15 s and 60 °C for 1 min. Probes were labelled with two different fluorescent dyes FAM™ and HEX™ and were used to detect the resistance mutant (RR) and the wild-type susceptibility (SS) alleles, respectively. After amplification, genotypes were scored from bidirectional scatter plots of results produced by Agilent Mx3005 v4.10 software.

Ace-1 sequencing

To investigate the polymorphism in the Ace-1 gene, a region of 924 base pairs (bp) in a sequence of the gene, encompassing exons 4–6 (VectorBase AgamP3 annotation, AGAP001356; G119S position in exon 5 corresponding to the third coding exon) was amplified from both live and dead females of An. gambiae exposed to bendiocarb. As previously described by Elanga-Ndille et al. [23], each PCR was conducted on a total volume of 50 μl containing 10 pmol of each primer Ex2Agdir1 (5′ AGG TCA CGG TGA GTC CGTACG A 3′) and Ex4Agrev2 (5′ AGG GCG GAC AGC AGA TGC AGC GA 3′), 10 mM dNTPs, ddH2O, 5× Phusion High-Fidelity buffer and 1 U of Phusion Taq polymerase (Fermentas, Burlington, ON, Canada). The PCR conditions were an initial cycle at 98 °C for 4 min, followed by 35 cycles of 98 °C for 30 s, 64 °C for 15 s and 72 °C for 30 s, with a final extension at 72 °C for 5 min. After purification using the QIAquick purification kit (Qiagen, Hilden, Germany), the PCR products were sequenced directly using the primers Ex2Agdir1 and Ex4Agrev2 to confirm the presence of the G119S mutation and assess the signature of selection at this Ace-1 in each locality. The ClustalW program [32] as implemented in BioEdit software [33] was used to align the DNA sequence with a consensus sequence from the Kisumu strain (An. gambiae strain susceptible to all insecticides) exported from VectorBase (gene ID: AGAP001356) and used as reference. The polymorphism analysis was performed using DnaSP v5.10 [34], while MEGA 10.1.0 [35] was used to build a maximum-likelihood tree from the aligned sequences after length equalization using the Tamura 3-parameter model selected after performing the model test. A haplotype network was also constructed using the TCS program [36] and tcsBU [37].

Statistical analysis

Following exposure of mosquito populations to insecticides, populations with mortality rates less than 90% were considered to be indicative of resistance and those with mortality rates greater than 98% were indicative of susceptibility (Additional file 1). Mortality rates of 90–98% suggested probable resistance that needed to be confirmed [28]. After PCR analysis, Ace-1 genotype distributions were recorded in an Excel datasheet (Microsoft Office 2016; Microsoft Corporation, Redmond, WA, USA), and Fisher’s exact test was performed using GraphPad Prism version 7.00 software (GraphPad Software Inc., La Jolla, CA, USA). Allelic frequencies were calculated using the formula ƒ(R) = (2n.RR + n.RS)/2N, where n is the number of mosquitoes of a given genotype, and N is the total number of mosquitoes analysed.

Results

Insecticide resistance profile of An. gambiae s.l. populations from study sites

A total of 2188 adult female mosquitoes from the nine study sites were exposed to both carbamates (bendiocarb and propoxur) and organophosphates (pirimiphos-methyl). The profile revealed that all nine populations of An. gambiae s.l. were susceptible to pirimiphos-methyl, as they exhibited 100% mortality 24 h post-exposure. Concerning bendiocarb, full susceptibility (100% mortality rate) was observed in An. gambiae s.l. populations from Bonaberi and Ebolowa, while probable resistance was observed in Bertoua (98.97 ± 2.21%), Edéa (94 ± 3.02%), Nyabessang (91.80 ± 3.52%) and Simatou (95.55 ± 3.22%) populations. However, resistance to bendiocarb was observed in Gounougou (80.45 ± 4.97%), Mangoum (17.78 ± 5.02%) and Nkolbisson (87.80 ± 4.97%) An. gambiae s.l. populations. Propoxur bioassays were carried out only on An. gambiae s.l. populations from Ebolowa, Simatou and Mangoum. Full susceptibility to this insecticide was observed for the mosquito population from Ebolowa, and probable resistance (94.05 ± 5.95%) and resistance were observed in Simatou and Mangoum (18.61 ± 3.86%), respectively (Fig. 2).

Fig. 2
figure 2

Susceptibility profile of An. gambiae s.l. populations from Cameroon with respect to bendiocarb, propoxur and pirimiphos-methyl. Mortality rates were recorded 24 h post-exposure to insecticides. Data are shown as mean ± standard error of the mean (SEM). The red dotted line represents threshold mortality for WHO resistant population, whereas the green dotted line represents threshold mortality for the WHO susceptible population

Full size image

Distribution of mosquito species

For each locality, live and dead mosquitoes after bioassays were used for molecular species identification within the An. gambiae complex. Results of the analyses showed that An. coluzzii, An. gambiae and An. arabiensis were the three mosquito species identified among the An. gambiae complex in the nine surveyed localities, with a variable distribution (Fig. 3, Additional file 2). Data showed that An. coluzzii was found in all the study sites except in Mangoum and Nyabessang. This species was found to be predominant in Simatou (98%), Gounougou (62%), Bonaberi (65%), Bertoua (81%) and Ebolowa (100%). Anopheles gambiae species, on its side, was identified only in the sites located in the southern forest part of the country, except in Ebolowa. This species was predominant in Mangoum (100%), Nyabessang (100%) and Nkolbisson (77%). In Edéa, An. gambiae was found in the same proportion (50%) as An. coluzzii, whereas in Bonaberi it was less abundant (35%). Concerning An. arabiensis, it was found only in Gounougou in the northern part of the country. In this locality, this species was found sharing its breeding sites with An. coluzzii (Fig. 3).

Fig. 3
figure 3

Map of Cameroon showing the relative frequency and the distribution of mosquito species within An. gambiae complex across the country

Full size image

Distribution of Ace-1 G119S mutation in An. gambiae complex in study sites

Ace-1 G119S genotypes were characterized in a total of 1273 females of An. gambiae s.l. mosquitoes from all study sites including those both dead and alive after exposure to bendiocarb, propoxur and pirimiphos-methyl. The Ace-1 G119S mutation allele was detected only in An. gambiae from Bertoua, Edéa, Nyabessang, Nkolbisson and Mangoum (Table 1). The frequency of the Ace-1R allele varied from 3.00% to 41.18% in Edéa and Bertoua, respectively (Table 1). Mosquitoes carrying the resistance allele were significantly more likely to survive after exposure to bendiocarb than those with the susceptibility allele (P < 0.0001, OR = 155; 95% CI = 35.5–677.08). Homozygote-resistant mosquitoes displayed a higher ability to survive than homozygote-susceptible mosquitoes (P < 0.0001, OR = 148, 95% CI = 41.77–524.94). Also, heterozygote-resistant mosquitoes were significantly more likely to survive than homozygote-susceptible mosquitoes (P < 0.000.1, OR = 45; 95% CI = 5.12–398;). No difference was observed between homozygote-resistant and heterozygote-resistant mosquitoes (P = 0.3, OR = 3.27; 95% CI = 0.29–36.64).

Table 1 Frequencies of the Ace-1R allele and genotypes in the An. gambiae s.l. samples collected in 2019 from nine localities in Cameroon
Full size table

Genetic diversity and phylogenetic analysis of Ace-1 in An. gambiae from Cameroon

To confirm the presence of the 119S allele and assess the genetic diversity of the Ace-1 gene, a region of 924 bp of this gene was sequenced from 71 An. gambiae mosquitoes (44 dead and 27 alive after exposure to bendiocarb) (Table 2). After sequence alignment, a region of 586 bp was commonly aligned, and a G-to-A substitution at position 394, corresponding to the 119th codon, was observed in seven sequences (one from Bertoua, four from Mangoum and two from Edéa) in comparison with the reference sequence from the susceptible Kisumu strain. Also, 20 heterozygote mosquitoes (two from Bertoua, seven from Mangoum, six from Nkolbisson and five from Nyabessang) were detected (Additional file 1). Furthermore, no substitution was detected in any of the sequences from dead mosquitoes across all study sites.

Table 2 Summary statistics for polymorphism in Ace-1 gene including the G119S mutation in dead and live An. gambiae mosquito populations from Cameroon after exposure to carbamates
Full size table

Analysis of the polymorphism pattern of the Ace-1 gene showed 32 polymorphic sites including 12 and 31 for live and dead individuals, respectively (Table 2). The number of haplotypes (38 vs 23) and haplotype diversity (0.927 vs 0.888) were higher for dead than live mosquitoes. Among the 55 different haplotypes recorded, only 27 had the 119S allele (Fig. 4a). These haplotypes showed a slight trend to clustering in the haplotype network (Fig. 4b), as well as on a maximum likelihood phylogenetic tree (Fig. 4c) according to their genotype, with those containing the 119S allele separate from those harbouring the susceptible ones. The genetic diversity was very low in mosquito populations from each locality as well as in the overall population (Table 3). Four non-synonymous (one in live and five dead mosquitoes) and 21 synonymous mutations were observed in the total population. (Table 3). Overall, Tajima’s D and the Fu and Li index were negative but not statistically significant. The haplotype network and maximum likelihood phylogenetic tree generated show haplotype clustering associated with either dead or live mosquitoes.

Fig. 4
figure 4

Polymorphism patterns of Ace-1 gene from direct sequencing. a Polymorphic sites and haplotypes detected. Haplotypes are labelled with S (susceptible) or R (resistant). b The Templeton, Crandall and Sing (TCS) haplotype network shows the resistance and susceptibility haplotype clusters. Lines connecting haplotypes and each node represent a single mutation event. c Maximum-likelihood phylogenetic tree of Ace-1 gene supporting the clustering of haplotypes according to the mosquito resistance status

Full size image
Table 3 Summary statistics for polymorphism in the Ace-1 gene including the G119S mutation in An. gambiae mosquito populations from six localities in Cameroon
Full size table

Discussion

To manage the challenge from pyrethroid resistance and to reduce the burden of malaria, Cameroon aims to implement an IRS strategy in some districts across the country. For this purpose, the NMCP is currently testing non-pyrethroid insecticides including carbamates and organophosphates, both used in the last decade for IRS across the continent, contributing to reducing the malaria burden [38]. However, because a reduction in mortality rate after exposure to carbamate was reported in Anopheles populations from a few localities [21,22,23], and because the Ace-1R G119S mutation that confers resistance to both carbamate and organophosphate was recently detected in the country [23], nationwide information on the susceptibility profile of An. gambiae s.l. populations as well as the distribution of Ace-1 mutation was needed to guide the deployment of any carbamate- or organophosphate-based IRS intervention.

Insecticide susceptibility

Anopheles gambiae s.l. populations from all nine localities studied were found fully susceptible to pirimiphos-methyl, belonging to the organophosphates insecticide class. Previously, several studies have recorded full susceptibility to organophosphates in An. gambiae s.l. populations from various other locations in Cameroon [9, 23, 39,40,41,42]. This result suggests that organophosphate compounds such as pirimiphos-methyl could be used for IRS in most of the locations in Cameroon where pyrethroid-resistant populations are found. Concerning carbamates, the susceptibility profile in An. gambiae s.l. mosquitoes was very heterogeneous across the country. The full susceptibility observed in Bonaberi and Ebolowa contrasts with the suspected resistance in the Edéa, Simatou, Nyabessang and Bertoua An. gambiae s.l. populations, on one hand, and with the confirmed resistance in the populations from Gounougou, Nkolbisson and Mangoum on other hand. Results of the present study confirm the increasing trends of carbamate resistance in An. gambiae s.l. populations from Cameroon as previously reported in other studies [8, 22, 23, 43]. The origin of the selection of this resistance remains unknown, although it can be hypothesized that it has resulted from agricultural use of carbamate-based pesticides, as no public health control strategy has been implemented in Cameroon with this class of insecticides [5, 14]. This hypothesis is supported by the previous study of Antonio-Nkondjio et al. [43], who demonstrated that mosquitoes originating from cultivated sites were more resistant to bendiocarb than those collected elsewhere. Moreover, this hypothesis is reinforced by the higher level of resistance to carbamate observed in the locality of Mangoum, which among the nine study sites is known to experience the use of large amounts of pesticides for intensive vegetable cultivation. Furthermore, the variability observed in the susceptibility of An. gambiae s.l. to carbamates is likely due to geographical heterogeneity in selection pressure to which mosquitoes are exposed [43]. The occurrence of resistance to carbamates could have a detrimental effect on the efficacy of a bendiocarb and/or propoxur-based strategy used as an alternative for malaria vector control in Cameroon. Therefore, it is important to follow up on the evolution of observed carbamate resistance and to understand the factors driving the development of this resistance, its underlying mechanisms and its distribution across the country.

Molecular identification of An. gambiae species across the nine surveyed localities

Molecular analyses showed that An. arabiensis, An. gambiae and An. coluzzii were the only members of the An. gambiae complex identified in the study sites. However, several disparities were observed in the distribution of these species across the country. Indeed, An. arabiensis was found only in the northern region and An. gambiae only in sites located in the southern region, while An. coluzzii was present in both the northern and southern parts of the country. This geographical distribution pattern indicates that both An. arabiensis and An. gambiae remain localized in their ecological niche, as described in previous studies [44, 45]. However, the high frequency of An. coluzzii compared to An. arabiensis in the northern part of the country is in line with previous studies which hypothesized that this species is progressively becoming the dominant vector species in Sudano-Sahelian savannah zones [41, 46]. Nevertheless, longitudinal studies are needed to further establish this trend. This is in contrast to the previous observations of An. arabiensis and An. gambiae (former S form) as the predominant species of the An. gambiae complex in the northern regions of Cameroon [44, 45]. This adaptation of An. coluzzii could have been favoured by anthropogenic activities, such as farming. Irrigated rice cultivation is copiously observed in northern Cameroon, and this activity creates semi-permanent and permanent water bodies known to be preferential breeding sites for An. coluzzii [47]. Species distribution in the southern region showed that An. gambiae and An. coluzzii are predominant in rural (Mangoum, Nyabessang, Nkolbisson) and urban (Ebolowa, Douala, Bertoua) areas, respectively. This is in line with findings supporting the high adaptation capacity of An. coluzzii in the urban environment, while An. gambiae prefers rural habitats [45, 47, 48].

Distribution of Ace-1 R mutation in An. gambiae s.l. populations

Resistance to carbamates in An. gambiae s.l. mosquitoes in some localities in the southern region of Cameroon was recently reported to be significantly associated with the presence of Ace-1 mutation (G119S) due to a substitution of glycine by the serine in codon 119 of the gene [23]. In the present study, analyses to investigate the presence of the Ace-1 G119S mutation in An. gambiae s.l. mosquitoes collected across the country show that the resistance allele was detected only in localities situated in the southern regions of Cameroon and not in the northern regions. Furthermore, the high resistance to carbamate was associated with high frequencies of the 119S allele as observed in Mangoum and Bertoua. Our findings here confirm the implication of Ace-1R mutation for the development of resistance to carbamates in An. gambiae s.l. from Cameroon as already recently reported [23]. The 119S mutant allele was detected only in An. gambiae species even in localities where this species was found in sympatry with An. coluzzii. This overlapping distribution between An. gambiae and the Ace-1R mutation seems to justify the nationwide resistance profile observed in this study, with resistance detected mostly in locations where An. gambiae was present. The detection of the Ace-1 G119S mutation only in An. gambiae is in contrast to a previous study of Djogbenou and colleagues in West Africa, which speculated that the Ace-1 G119S mutation first occurred in An. coluzzii (former M form) and not in An. gambiae [49]. This mutation has not resulted in expected cross-resistance to organophosphates because G119S had a greater impact on carbamate than organophosphate resistance in An. gambiae as suggested by Djogbenou et al. [49]. This mutation occurs with higher frequency of homozygous resistance (R/R) than heterozygous resistance, suggesting a deviation from Hardy–Weinberg equilibrium, as already observed in a recent study in Cameroon [23] and others in West Africa. Furthermore, the low frequency of resistance observed in almost all study sites except in Mangoum suggests that this mutation recently occurred and is still spreading in An. gambiae s.l. populations across Cameroon. This signature of a recent expansion of the resistance allele in An. gambiae populations from Cameroon is confirmed by the negative values observed for Tajima’s test. The higher haplotype diversity in dead mosquitoes compared to live ones suggests a selective sweep acting on the Ace-1 gene in carbamate-resistant mosquitoes. This is similar to signatures of selection observed for other resistance loci in An. gambiae for both target-site and metabolic resistance [50] as well as in Anopheles funestus for GST [51] and P450-based [52] metabolic resistance mechanisms.

Conclusion

This study revealed that An. gambiae s.l. populations from Cameroon were fully susceptible to organophosphates but exhibited variable susceptibility to carbamates across the country. The level of carbamate resistance was associated with the presence and the frequency of the Ace-1 G119S mutation, which was detected only in An. gambiae species and not in An. coluzzii or An. arabiensis. The distribution of this mutation overlapped with that of An. gambiae and was found only in the southern part of the country. Overall, the organophosphate insecticide class would be more suitable than carbamates for IRS in Cameroon, especially in the southern part of the country. However, because the potential spread of the Ace-1 G119S mutation could compromise the efficacy of such a strategy, periodic updates of its distribution and data on resistance of An. gambiae s.l. mosquitoes should be performed to guide the implementation of IRS strategies in Cameroon.

Availability of data and materials

Data are available from the corresponding author upon reasonable request.

References

  1. Bhatt S, Weiss D, Cameron E, Bisanzio D, Mappin B, Dalrymple U, et al. The effect of malaria control on Plasmodium falciparum in Africa between 2000 and 2015. Nature. 2015;526(7572):207.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  2. WHO. World malaria report 2021. 2021.

  3. WHO. The “World malaria report 2019” at a glance. Geneva: World Health Organization; 2019.

    Google Scholar 

  4. NMCP. Rapport d’activités 2019 du Programme National de Lutte contre le Paludisme. 2019. p. 63.

  5. PSNLP. Plan stratégique national de lutte contre le paludisme au Cameroun 2019–2023. 2019. p. 103.

  6. WHO. World malaria report 2020: 20 years of global progress and challenges. 2020.

  7. Etang J, Manga L, Chandre F, Guillet P, Fondjo E, Mimpfoundi R, et al. Insecticide susceptibility status of Anopheles gambiae s.l. (Diptera: Culicidae) in the Republic of Cameroon. J Med Entomol. 2003;40(4):491–7.

    CAS  PubMed  Article  Google Scholar 

  8. Nwane P, Etang J, Chouaїbou M, Toto JC, Koffi A, Mimpfoundi R, et al. Multiple insecticide resistance mechanisms in Anopheles gambiae s.l. populations from Cameroon, Central Africa. Parasit Vectors. 2013;6(1):1–14.

    Article  CAS  Google Scholar 

  9. Menze BD, Wondji MJ, Tchapga W, Tchoupo M, Riveron JM, Wondji CD. Bionomics and insecticides resistance profiling of malaria vectors at a selected site for experimental hut trials in Central Cameroon. Malar J. 2018;17(1):1–10.

    Article  Google Scholar 

  10. Ndo C, Kopya E, Donbou MA, Njiokou F, Awono-Ambene P, Wondji C. Elevated Plasmodium infection rates and high pyrethroid resistance in major malaria vectors in a forested area of Cameroon highlight challenges of malaria control. Parasit Vectors. 2018;11(1):157.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  11. Antonio-Nkondjio C, Ndo C, Njiokou F, Bigoga JD, Awono-Ambene P, Etang J, et al. Review of malaria situation in Cameroon: technical viewpoint on challenges and prospects for disease elimination. Parasit Vectors. 2019;12(1):1–23.

    Article  Google Scholar 

  12. Ranson H, Lissenden N. Insecticide resistance in African Anopheles mosquitoes: a worsening situation that needs urgent action to maintain malaria control. Trends Parasitol. 2016;32(3):187–96.

    CAS  PubMed  Article  Google Scholar 

  13. WHO. Global plan for insecticide resistance management in malaria vectors (GPIRM). 2012. ISBN 2012; 978(92): 4.

  14. FY-PMI. The PMI VectorLink Cameroon annual entomology report. 2020. The PMI VectorLink Project, Abt Associates: Rockville, MD. p. 74.

  15. Protopopoff N, Wright A, West PA, Tigererwa R, Mosha FW, Kisinza W, et al. Combination of insecticide treated nets and indoor residual spraying in northern Tanzania provides additional reduction in vector population density and malaria transmission rates compared to insecticide treated nets alone: a randomised control trial. PLoS ONE. 2015;10(11):e0142671.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  16. Oxborough RM. Trends in US President’s Malaria Initiative-funded indoor residual spray coverage and insecticide choice in sub-Saharan Africa (2008–2015): urgent need for affordable, long-lasting insecticides. Malar J. 2016;15(1):1–9.

    Article  CAS  Google Scholar 

  17. N’guessan R, Darriet F, Guillet P, Carnevale P, Traore-Lamizana M, Corbel V, et al. Resistance to carbosulfan in Anopheles gambiae from Ivory Coast, based on reduced sensitivity of acetylcholinesterase. Med Vet Entomol. 2003;17(1):19–25.

    PubMed  Article  Google Scholar 

  18. Corbel V, N’guessan R, Brengues C, Chandre F, Djogbenou L, Martin T, et al. Multiple insecticide resistance mechanisms in Anopheles gambiae and Culex quinquefasciatus from Benin, West Africa. Acta Trop. 2007;101(3):207–16.

    CAS  PubMed  Article  Google Scholar 

  19. Alou LP, Koffi AA, Adja MA, Tia E, Kouassi PK, Koné M, et al. Distribution of ace-1 R and resistance to carbamates and organophosphates in Anopheles gambiae s.s. populations from Côte d’Ivoire. Malar J. 2010;9(1):1–7.

    Article  CAS  Google Scholar 

  20. Kisinza WN, Nkya TE, Kabula B, Overgaard HJ, Massue DJ, Mageni Z, et al. Multiple insecticide resistance in Anopheles gambiae from Tanzania: a major concern for malaria vector control. Malar J. 2017;16(1):1–10.

    Article  CAS  Google Scholar 

  21. Antonio-Nkondjio C, Fossog BT, Ndo C, Djantio BM, Togouet SZ, Awono-Ambene P, et al. Anopheles gambiae distribution and insecticide resistance in the cities of Douala and Yaoundé (Cameroon): influence of urban agriculture and pollution. Malar J. 2011;10(1):1–13.

    Article  Google Scholar 

  22. Bamou R, Sonhafouo-Chiana N, Mavridis K, Tchuinkam T, Wondji CS, Vontas J, et al. Status of insecticide resistance and its mechanisms in Anopheles gambiae and Anopheles coluzzii populations from forest settings in south Cameroon. Genes. 2019;10(10):741.

    CAS  PubMed Central  Article  Google Scholar 

  23. Elanga-Ndille E, Nouage L, Ndo C, Binyang A, Assatse T, Nguiffo-Nguete D, et al. The G119S Acetylcholinesterase (Ace-1) target site mutation confers carbamate resistance in the major malaria vector Anopheles gambiae from Cameroon: a challenge for the coming IRS implementation. Genes. 2019;10(10):790.

    CAS  PubMed Central  Article  Google Scholar 

  24. Service M, Service M. Sampling the larval population. Mosquito ecology: field sampling methods. 1993; p. 75–209.

  25. Morgan JC, Irving H, Okedi LM, Steven A, Wondji CS. Pyrethroid resistance in an Anopheles funestus population from Uganda. PLoS ONE. 2010;5(7):e11872.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  26. Gillies M, DeMeillon B. The Anophelinae of Africa South of the Sahara (Ethiopian Zoogeographical Region). Inst Med Res. 1968;54:343.

    Google Scholar 

  27. Gillies M, Coetzee M. A supplement to the Anophelinae of Africa south of the Sahara (Afrotropical region). Publications of the South African Institute for Medical Research; 1987. p. 55.

  28. WHO. Test procedures for insecticide resistance monitoring in malaria vector mosquitoes. 2018.

  29. Livak KJ. Organization and mapping of a sequence on the Drosophila melanogaster X and Y chromosomes that is transcribed during spermatogenesis. Genetics. 1984;107(4):611–34.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  30. Santolamazza F, Mancini E, Simard F, Qi Y, Tu Z, Della Torre A. Insertion polymorphisms of SINE200 retrotransposons within speciation islands of Anopheles gambiae molecular forms. Malar J. 2008;7(1):163.

    PubMed  PubMed Central  Article  Google Scholar 

  31. Bass C, Nikou D, Vontas J, Williamson MS, Field LM. Development of high-throughput real-time PCR assays for the identification of insensitive acetylcholinesterase (Ace-1R) in Anopheles gambiae. Pestic Biochem Physiol. 2010;96(2):80–5.

    CAS  Article  Google Scholar 

  32. Thompson JD. DG Higgins, and TJ Gibson, CLUSTAL W: improving the sensitivity of progressive multiple sequence alignment through sequence weighting, position-specific gap penalties and weight matrix choice. Nucleic Acids Res. 1994;22(22):4673–80.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  33. Hall TA. BioEdit: a user-friendly biological sequence alignment editor and analysis program for Windows 95/98/NT. In: Nucleic acids symposium series. 1999. [London]: Information Retrieval Ltd., c1979-c2000.

  34. Librado P, Rozas J. DnaSP v5: a software for comprehensive analysis of DNA polymorphism data. Bioinformatics. 2009;25(11):1451–2.

    CAS  Article  PubMed  Google Scholar 

  35. Kumar S, Nei M, Dudley J, Tamura K. MEGA: a biologist-centric software for evolutionary analysis of DNA and protein sequences. Briefings Bioinform. 2008;9(4):299–306.

    CAS  Article  Google Scholar 

  36. Clement M, Posada D, Crandall KA. TCS: a computer program to estimate gene genealogies. Mol Ecol. 2000;9(10):1657–9.

    CAS  PubMed  Google Scholar 

  37. Múrias dos Santos A, Cabezas MP, Tavares AI, Xavier R, Branco M. tcsBU: a tool to extend TCS network layout and visualization. Bioinformatics. 2016;32(4):627–8.

    PubMed  Article  CAS  Google Scholar 

  38. Tangena J-AA, Hendriks CM, Devine M, Tammaro M, Trett AE, Williams I, et al. Indoor residual spraying for malaria control in sub-Saharan Africa 1997 to 2017: an adjusted retrospective analysis. Malar J. 2020;19:1–15.

    Article  CAS  Google Scholar 

  39. Antonio-Nkondjio C, Sonhafouo-Chiana N, Ngadjeu C, Doumbe-Belisse P, Talipouo A, Djamouko-Djonkam L, et al. Review of the evolution of insecticide resistance in main malaria vectors in Cameroon from 1990 to 2017. Parasit Vectors. 2017;10(1):1–14.

    Article  Google Scholar 

  40. Boussougou-Sambe ST, Eyisap WE, Tasse GCT, Mandeng SE, Mbakop LR, Enyong P, et al. Insecticide susceptibility status of Anopheles gambiae (s.l.) in South-West Cameroon four years after long-lasting insecticidal net mass distribution. Parasit Vectors. 2018;11(1):1–8.

    Article  CAS  Google Scholar 

  41. Ibrahim SS, Fadel AN, Tchouakui M, Terence E, Wondji MJ, Tchoupo M, et al. High insecticide resistance in the major malaria vector Anopheles coluzzii in Chad Republic. Infect Dis Poverty. 2019;8(1):100.

    PubMed  PubMed Central  Article  Google Scholar 

  42. Nkemngo FN, Mugenzi LM, Terence E, Niang A, Wondji MJ, Tchoupo M, et al. Multiple insecticide resistance and Plasmodium infection in the principal malaria vectors Anopheles funestus and Anopheles gambiae in a forested locality close to the Yaoundé airport, Cameroon. Wellcome Open Res. 2020;5:146.

    PubMed  PubMed Central  Google Scholar 

  43. Antonio-Nkondjio C, Poupardin R, Tene BF, Kopya E, Costantini C, Awono-Ambene P, et al. Investigation of mechanisms of bendiocarb resistance in Anopheles gambiae populations from the city of Yaoundé. Cameroon Malar J. 2016;15(1):1–11.

    Article  CAS  Google Scholar 

  44. Wondji C, Simard F, Petrarca V, Etang J, Santolamazza F, Torre AD, et al. Species and populations of the Anopheles gambiae complex in Cameroon with special emphasis on chromosomal and molecular forms of Anopheles gambiae s.s. J Med Entomol. 2005;42(6):998–1005.

    PubMed  Article  Google Scholar 

  45. Simard F, Ayala D, Kamdem GC, Pombi M, Etouna J, Ose K, et al. Ecological niche partitioning between Anopheles gambiae molecular forms in Cameroon: the ecological side of speciation. BMC Ecol. 2009;9(1):1–24.

    Article  CAS  Google Scholar 

  46. Fadel AN, Ibrahim SS, Tchouakui M, Terence E, Wondji MJ, Tchoupo M, et al. A combination of metabolic resistance and high frequency of the 1014F kdr mutation is driving pyrethroid resistance in Anopheles coluzzii population from Guinea savanna of Cameroon. Parasit Vectors. 2019;12(1):1–13.

    CAS  Article  Google Scholar 

  47. Gimonneau G, Bouyer J, Morand S, Besansky NJ, Diabate A, Simard F. A behavioral mechanism underlying ecological divergence in the malaria mosquito Anopheles gambiae. Behav Ecol. 2010;21(5):1087–92.

    PubMed  PubMed Central  Article  Google Scholar 

  48. Kamdem C, Fossog BT, Simard F, Etouna J, Ndo C, Kengne P, et al. Anthropogenic habitat disturbance and ecological divergence between incipient species of the malaria mosquito Anopheles gambiae. PLoS ONE. 2012;7(6):e39453.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  49. Djogbenou L, Chandre F, Berthomieu A, Dabire R, Koffi A, Alout H, et al. Evidence of introgression of the Ace-1 R mutation and of the Ace-1 duplication in West African Anopheles gambiae s. s. PLoS ONE. 2008;3(5):e2172.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  50. Consortium AgG. Genetic diversity of the African malaria vector Anopheles gambiae. Nature. 2017;552(7683):96.

    Article  CAS  Google Scholar 

  51. 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(2):R27.

    PubMed  PubMed Central  Article  CAS  Google Scholar 

  52. Weedall GD, Mugenzi LM, Menze BD, Tchouakui M, Ibrahim SS, Amvongo-Adjia N, et al. A cytochrome P450 allele confers pyrethroid resistance on a major African malaria vector, reducing insecticide-treated bednet efficacy. Sci Trans Med. 2019;11(484):eaat7386.

    Article  CAS  Google Scholar 

Download references

Acknowledgements

We thank the field entomology mosquito collection team and the inhabitants of the respective villages in Cameroon where these data were collected.

Funding

This research was funded in whole, or in part, by the Wellcome Trust [109930/Z/15/Z] awarded to Emmanuel Elanga-Ndille. For the purpose of open access, the author has applied a CC BY public copyright licence to any Author Accepted Manuscript version arising from this submission. A part of the study was also funded throughout CRID's internal funding allocated to Emmanuel Elanga-Ndille, Billy Tene and Cyrille Ndo.

Author information

Author notes

  1. Achille Jerome Binyang and Emmanuel Elanga Ndille contributed equally to this work

Authors and Affiliations

  1. Department of Medical Entomology, Centre for Research in Infectious Diseases (CRID), P.O. BOX 13591, Yaoundé, Cameroon

    Achille Jerome Binyang, Emmanuel Elanga-Ndille, Billy Tene-Fossog, Lynda Nouage, Tatiane Assatse, Yvan Fotso-Toguem & Charles S. Wondji

  2. Department of Animal Biology and Physiology, Faculty of Science, University of Yaoundé 1, P.O. Box 812, Yaoundé, Cameroon

    Achille Jerome Binyang, Lynda Nouage, Tatiane Assatse, Yvan Fotso-Toguem & Flobert Njiokou

  3. Vector Borne Diseases Laboratory of the Biology and Applied Ecology Research Unit (VBID-URBEA), Department of Animal Biology, Faculty of Science of the University of Dschang, Dschang, Cameroon

    Emmanuel Elanga-Ndille

  4. Department of Parasitology and Microbiology, Centre for Research in Infectious Diseases (CRID), P.O. BOX 13591, Yaoundé, Cameroon

    Cyrille Ndo & Daniel Nguete Nguiffo

  5. Department of Biological Science, Faculty of Medicine and Pharmaceutical Sciences, University of Douala, P.O. Box 24157, Douala, Cameroon

    Cyrille Ndo & Josiane Etang

  6. Ministry of Public Health, National Malaria Control Programme, P.O. Box 14386, Yaoundé, Cameroon

    Raymond Tabue

  7. National Reference Unit for Vector Control, The Biotechnology Centre, University of Yaoundé I, P.O. Box, 3851-Messa, Yaoundé, Cameroon

    Francis Zeukeng

  8. Organisation de Coordination Pour La Lutte Contre Les Endémies en Afrique Centrale, BP 288, Yaoundé, Cameroun

    Josiane Etang

  9. Department of Vector Biology, Liverpool School of Tropical Medicine, Pembroke Place, Liverpool, L3 5QA, UK

    Charles S. Wondji

Authors
  1. Achille Jerome Binyang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Emmanuel Elanga-Ndille
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Billy Tene-Fossog
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Cyrille Ndo
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Lynda Nouage
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Tatiane Assatse
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Yvan Fotso-Toguem
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. Raymond Tabue
    View author publications

    You can also search for this author in PubMed Google Scholar

  9. Francis Zeukeng
    View author publications

    You can also search for this author in PubMed Google Scholar

  10. Daniel Nguete Nguiffo
    View author publications

    You can also search for this author in PubMed Google Scholar

  11. Josiane Etang
    View author publications

    You can also search for this author in PubMed Google Scholar

  12. Flobert Njiokou
    View author publications

    You can also search for this author in PubMed Google Scholar

  13. Charles S. Wondji
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

EEN and CSW conceived the study. EEN designed the study. AJB, EEN, BT, ZF, FYT, TA and RT collected the samples in the field. LN and TA performed the experimental analysis. DNN and AJB performed the genetic analysis. AJB wrote the manuscript with contributions from EEN, JE, CSW and FN.

Corresponding author

Correspondence to Emmanuel Elanga-Ndille.

Ethics declarations

Ethics approval and consent to participate

Ethical clearance was obtained from the National Ethics Committee of Cameroon’s Ministry of Public Health (No. 2018/04/1000/CE/CNERSH/SP) in conformity to the World Medical Association Declaration of Helsinki. Informed verbal consent was obtained from household owners for use of their houses for mosquito collection.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Additional file 1

. Sequence alignment of the Ace-1 gene at the G119S point mutation in live and dead An. gambiae mosquitoes 24 h after exposure to carbamate.

Additional file 2

. Number of An. gambiae s.l. mosquitoes identified among those alive and dead after exposure to insecticides.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Binyang, A.J., Elanga-Ndille, E., Tene-Fossog, B. et al. Distribution of acetylcholinesterase (Ace-1R) target-site G119S mutation and resistance to carbamates and organophosphates in Anopheles gambiae sensu lato populations from Cameroon. Parasites Vectors 15, 53 (2022). https://doi.org/10.1186/s13071-022-05174-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s13071-022-05174-1

Keywords

  • Ace-1 G119S mutation
  • Insecticide resistance
  • An. gambiae s.l.
  • Cameroon

Parasites & Vectors

ISSN: 1756-3305

Contact us