Literature DB >> 33644236

First Report of Target Site Insensitivity in Pyrethroid Resistant Anopheles gambiae from Southern Guinea Savanna, Northern-Nigeria.

Mustapha Ahmed-Yusuf1,2, Hassan Vatandoost1,3, Mohammad Ali Oshaghi1, Ahmad Ali Hanafi-Bojd1,3, Ahmad Ali Enayati4, Rabiu Ibrahim Jalo5.   

Abstract

BACKGROUND: Malaria is a major public health problem and life threatening parasitic vector-borne disease. For the first time, we established and report the molecular mechanism responsible for Anopheles gambiae s.l. resistance to pyrethroids and DDT from Yamaltu Deba, Southern Guinea Savanna, Northern-Nigeria.
METHODS: The susceptibility profile of An. gambiae s.l. to four insecticides (DDT 4%, bendiocarb 0.1%, malathion 5% and deltamethrin 0.05%) using 2-3 days old females from larvae collected from study area between August and November, 2018 was first established. Genomic DNA was then extracted from 318 mosquitoes using Livak DNA extraction protocol for specie identification and kdr genotyping. The mosquitoes were identified to species level and then 96 genotyped for L1014F and L1014S kdr target site mutations.
RESULTS: The mosquitoes were all resistant to DDT, bendiocarb and deltamethrin but fully susceptible to malathion. An. coluzzii was found to be the dominant sibling species (97.8%) followed by An. arabiensis (1.9%) and An. gambiae s.s (0.3%). The frequency of the L1014F kdr mutation was relatively higher (83.3%) than the L1014S (39%) in the three species studied. The L1014F showed a genotypic frequency of 75% resistance (RR), 17% heterozygous (RS) and 8% susceptible (SS) with an allelic frequency of 87% RR and 13% SS while the L1014S showed a genotypic frequency of RR (16%), RS (38%) and SS (46%) with an allelic frequency of 40% RR and 60% SS, respectively.
CONCLUSION: This study reveals that both kdr mutations present simultaneously in Northern-Nigeria, however contribution of L1014F which is common in West Africa was more than twice of L1014S mutation found in East Africa.
Copyright © 2020 The Authors. Published by Tehran University of Medical Sciences.

Entities:  

Keywords:  Anopheles gambiae s.l.; Insecticide resistance; Northern Nigeria; Voltage-gated sodium channels (VGSC)

Year:  2020        PMID: 33644236      PMCID: PMC7903364          DOI: 10.18502/jad.v14i3.4556

Source DB:  PubMed          Journal:  J Arthropod Borne Dis        ISSN: 2322-1984            Impact factor:   1.198


Introduction

Insecticide resistance is mainly associated with genetic factors that are inherited and can be defined as “the ability in a population to tolerate doses of insecticide which would prove lethal to the majority of individuals in a normal population of the same species, developed as a result of selection pressure to the insecticide” (1, 2). The resistance is mainly acquired through two methods which include the target site insensitivity and metabolic resistance (3). The target site insensitivity is operated through one of the following methods (insensitive acetylcholinesterase (AChE), GABA receptor mutation, or mutations in the voltage-gated sodium channel). The nervous system of mosquitoes is been targeted by specific insecticide through which it acts, though sometimes the sensitivity of the site may reduce as a result of mutations leading to resistance (4). The organophosphate and carbamates target the acetylcholinesterase (AChE) through carbamoylating the active serine site thereby stopping it from hydrolyzing the acetylcholine (5–7). Substitution in the GABA receptor of an Alanine to Serine has been reported in Drosophila melanogaster, D. simulans, Aedes aegypti, Anopheles stephensi and An. gambiae as the cause of resistance (8). Resistance in the Pyrethroids and DDT is mainly due to mutations in the gene that encodes the voltage-gated sodium channel called the knockdown resistance (9). In the An. gambiae and An. arabiensis mosquitoes, two different knockdown resistance have been reported (10). The leucine-phenylalanine substitution at position 1014 of the sodium channel gene (L1014F), was the first mutation reported from Burkina Faso and Ivory Coast in West Africa (11). While a leucine-serine substitution (L10 14S) at the same position was reported as the second mutation from Western Kenya in East Africa (12). A study conducted in Northern Nigeria reported high resistance of An. gambiae to permethrin and DDT with less resistant to bendiocarb (13). The resistance profile and kdr mutation of An. gambiae s.l. populations was also reported from two locations (Auyo and Bunkure) in northern Nigeria (14). High presence of An. coluzzii has been reported from previous studies (13–17). Two different studies conducted in Northern Nigeria both reported lower kdr mutations from both resistant and susceptible mosquitoes (18, 19). Similarly, studies conducted in Kenya reported lower kdr mutations to An. gambiae (20, 21). The aim of this study was to investigate species composition, the insecticide susceptibility status, and to explore type of kdr mutations conferring pyrethroids and DDT resistance in members of the An. gambiae complex from Northern-Nigeria.

Materials and Methods

Study Location

Yamaltu Deba (10° 13′ 0″ N, 11° 23′ 0″ E) is one of the eleven Local Government Areas in Gombe State, Nigeria (Fig. 1). It has a population of 255,248, an area of 1,981km2 and is located in the north-eastern part of Nigeria, stretching through the Sudan savannah, northern and southern guinea savannah (22, 23).
Fig. 1

Map (adapted from google earth) showing the geographical location of the study site, Gombe state (red circle) in Northern Nigeria, 2018

Map (adapted from google earth) showing the geographical location of the study site, Gombe state (red circle) in Northern Nigeria, 2018

Study Sample

Dipping method was used to collect larvae samples from different breeding places in the study site as described by (13) in order to provide laboratory stock of mosquitoes. The samples were transported to the insectary at Bayero University Kano with a rearing condition of 28±2 °C temperature, 65±5% relative humidity (RH) and 12:12 hrs D: L. Two to three days old female sugar fed mosquitoes were used for susceptibility tests (24).

WHO susceptibility tests

Adult susceptibility test was conducted according to the recent WHO bioassay guideline (25). Twenty five female mosquitoes of 2–3 days old fed on 10% sugar solution, were exposed to malathion 5%, bendiocarb 0.1%, DDT 4.0% and deltamethrin 0.05% impregnated papers for 60 minutes in the standard WHO test kit. Oil-impregnated papers were used for the control group. There were four replicates for the treated and two replicates for the control group. At the end of the exposure time, both the treated and control mosquito groups were allowed to recover in holding tubes with cotton pads containing 10% sucrose solution on the top for 24 hours and then the number of dead and alive mosquitoes were recorded. A mosquito is considered alive if it is able to fly, regardless of the number of legs remaining.

DNA Extraction

Genomic DNA was extracted from 318 individual mosquitoes using Livak DNA extraction protocol template preparation kit (26, 27).

Specie Identification

The mosquitoes were first identified morphologically using morphological identification keys (28, 29). Molecular species identification was performed by PCR-SINE200 technique as previously described (14). Sine PCR reagents were carried out in 15ul master mix containing amplification reaction of 0.51mol of each primer sine 200F and sine 200R, 0.12mM of each dNTP, 0.75mM of MgCl2, 1.5U Taq DNA polymerase, PCR Buffer 10x [200mM Tris HCl (pH 8.4), 500mM KCl], 1.0µl of template DNA extracted from each mosquito. The primer sequence and thermal cycling conditions are shown in (Table 1).
Table 1

(A) PCR primer sequences and (B) thermal cycling conditions used for specie identification of the Anopheles gambiae complex from Yamaltu Deba (Gombe state), Northern Nigeria, 2018

A

Primer namesequence (5′ to 3′)Identified speciesSize of the PCR product (bp)
sine200FTCG-CCT TAG ACC TTG CGT TAAn. gambiae s.s.240
sine200RCGC TTC AAG AAT TCG AGA TACAn. coluzzii470
An. arabiensis220
(A) PCR primer sequences and (B) thermal cycling conditions used for specie identification of the Anopheles gambiae complex from Yamaltu Deba (Gombe state), Northern Nigeria, 2018

PCR for kdr west (L1014F) and kdr East (L1014S)

The amplification protocol used for the detection of 1014F and 1014S mutations was performed using allele specific PCR in a 12.5µl reaction containing 1µl of template DNA, 1x Qiagen PCR buffer, 0.5mM MgCl2, 0.5nM of each primer, 0.5µM of dNTPs, and 1U of Taq DNA polymerase revised from the protocols previously established by Martinez-Torres et al. (11) and Ranson et al. (30). The primer sequences and thermal cycling conditions are shown in (Table 2). The primers Agd1, Agd2, Agd4 and Agd5 were used to detect the 1014S mutation whereas primers Agd1, Agd2, Agd3 and Agd4 were used to detect the 1014F mutation.
Table 2

(A) PCR primer sequences and (B) thermal cycling conditions used for detection knockdown resistance mutations (L1014F and L1014S) in the Anopheles gambiae complex from Yamaltu Deba (Gombe state), Northern Nigeria, 2018

A

Primer namesequence (5′ to 3′)Primer typeCombination and Size of PCR product (bp)
Agd1ATAGATTCCCCGACCATGCommon forwardAgd1+Agd2=293
Agd2AGACAAGGATGATGAACCCommon reverse
Agd3AATTTGCATTACTTACGACASpecific reverse for L1014FAgd1+Agd3=195
Agd4CTGTAGTGATAGGAAATTTASpecific forward for susceptible L1014LAgd2+Agd4=137
Agd5ATTTGCATTACTTACGACTGSpecific reverse for L1014SAgd1+Agd5=195
(A) PCR primer sequences and (B) thermal cycling conditions used for detection knockdown resistance mutations (L1014F and L1014S) in the Anopheles gambiae complex from Yamaltu Deba (Gombe state), Northern Nigeria, 2018

Data analysis

The 24hrs mortality was accessed manually, while the susceptibility was defined as; 98– 100% mortality indicates susceptibility, 90–97 % mortality requires confirmation of resistance and between 0–89% suggests resistance (25). The Hardy-weinberg equilibrium equation was used to calculate the genotypic and allelic frequencies. Microsoft office excel, version 2003 was used to create charts, calculate the standard deviation, sort and clean the data. Abbott’s formula (30) was used to correct for natural mortality, if the control mortality was between 5 and 20%. The results of the tests with >20% mortality in controls, were discarded and the test repeated (25).

Results

Female mosquitoes exposed to deltamethrin, DDT and bendiocarb showed 74% (95%, CI: 68–79); 53% (CI: 49–56) and 44% (CI: 38–49) mortalities after 24 hours, respectively (Fig. 2). Whereas, malathion was found to be susceptible (Fig. 2).
Fig. 2

Susceptibility (24hrs) profile of Anopheles gambiae s.l. to four insecticides from Yamaltu Deba (Gombe state), Northern Nigeria, 2018

Susceptibility (24hrs) profile of Anopheles gambiae s.l. to four insecticides from Yamaltu Deba (Gombe state), Northern Nigeria, 2018

Molecular specie identification

A total of 318 mosquitoes composing of 138 alive (45 exposed to deltamethrin, DDT, bendiocarb and 3 exposed to malathion) and 180 dead (45 exposed to deltamethrin, DDT, bendiocarb and malathion) were identified to specie level. All the dead mosquitoes identified were An. culluzzi, the alive mosquitoes exposed to DDT, malathion and bendiocarb also were An. culluzzi while for deltamethrin exposed, 53.3% were An. culluzzi, 40% An. arabiensis and 6.7% An. gambiae s.s (Table 3).
Table 3

Molecular species identification Anopheles gambiae s.l. specimens (A: alive, B: dead) following exposure to the insecticides from Yamaltu Deba (Gombe state), in Northern Nigeria, 2018

A

InsecticideNo. ExposedAn. coluzzii (%)An. arabiensis (%)An. gambiae s.s (%)
Deltamethrin 0.05%4553.3406.7
DDT 4%4510000
Malathion 5%310000
Bendiocarb 0.1%4510000
Molecular species identification Anopheles gambiae s.l. specimens (A: alive, B: dead) following exposure to the insecticides from Yamaltu Deba (Gombe state), in Northern Nigeria, 2018

Genotyping kdr west (L1014F)

A total of 96 mosquitoes: 76 alive (69 An. coluzzii, 6 An. arabiensis, 1 An. gambiae s.s) and 20 dead (13 An. coluzzii, 6 An. arabiensis, 1 An. gambiae s.s) were used for kdr genotyping. The following result was recorded: alive mosquitoes, the only An. gambiae s.s 1/1 (100 %) was homozygote resistant (RR); An. arabiensis 4/6 (67%) RR, 2/6 (33%) heterozygote resistant (RS); An. coluzzii 55/69 (80%) RR, 9/69 (13%) RS, 5/69 (7%) homozygote susceptible (SS). Dead mosquitoes, the only An. gambiae s.s 1/1 (100%) RR; An. arabiensis 3/6 (50%) RR, 2/6 (33%) RS, 1/6 (17%) SS; An. coluzzii 8/13 (62%) RR, 3/13 (23%) RS, 2/13 (15%) SS (Table 4).
Table 4

Genotyping of kdr west (L1014F) and east (L1014S) mutations of Anopheles gambiae s.l. from Northern Nigeria, 2018

kdr Mutation (L1014F)

SpeciesAliveDead

An. gambiae s.sAn. arabiensisAn. coluzziiAn. gambiae s.sAn. arabiensisAn. coluzzii
Homozygote resistance100%67%80%100%50%62%
Heterozygote resistance033%13%033%23%
Homozygote susceptible007%017%15%
n=1n=6n=69n=1n=6n=13
Genotyping of kdr west (L1014F) and east (L1014S) mutations of Anopheles gambiae s.l. from Northern Nigeria, 2018

Genotypic and allelic frequencies of L1014F

The Hardy-weinberg equilibrium equation was used to calculate the genotypic and allelic frequencies. The result was found to be 72 (75%) RR, 16 (17%) RS and 8 (8%) SS; 87% RR and 13% SS (Table 5).
Table 5

The allelic and genotypic frequencies of the L1014F and L1014S, mutations of Anopheles gambiae s.l. from Northern Nigeria, 2018

Genotypic frequencies (L1014F)
Homozygote resistanceHeterozygote resistanceHomozygote susceptiblen=96
75%17%8.00%
Allelic frequencies (L1014F)
Homozygote resistanceHomozygote susceptible
87%13%
Genotypic frequencies (L1014S)
Homozygote resistanceHeterozygote resistanceHomozygote susceptiblen=96
16%38%46%
Allelic frequencies (L1014S)
Homozygote resistanceHomozygote susceptible
40%60%
The allelic and genotypic frequencies of the L1014F and L1014S, mutations of Anopheles gambiae s.l. from Northern Nigeria, 2018

Genotyping kdr west (L1014S)

A total of 96 mosquitoes were used, L10-14S mutation was only found in 37 (39%) mosquitoes distributed as follows: 24 alive (15 An. coluzzii, 8 An. arabiensis, 1 An. Gambiae s.s) and 13 dead (8 An. coluzzii, 4 An. arabiensis, 1 An. gambiae s.s) were used for kdr genotyping. The following result was rec orded: alive mosquitoes, the only An. gambiae s.s 1/1 (100 %) RS; An. arabiensis 2/8 (33%) RR, 5/8 (56%) RS, 1/8 (11%) SS; An. coluzzii 4/15 (27%) RR, 3/15 (20%) RS, 8/15 (53%) SS. Dead mosquitoes: the only An. gambiae s.s 1/1 (100%) RS; An. arabiensis 3/4 (75%) SS, 1/4 (25%) RS; An. coluzzii 3/8 (38%) RS, 5/8 (62%) SS (Table 4).

Genotypic and allelic frequencies (L1014S)

The Hardy-weinberg equilibrium equation was used to calculate the genotypic and allelic frequencies. The result was found to be 6 (16 %) RR, 14 (38%) RS and 17 (46%) SS: 40% RR and 60% SS (Table 5).

Discussion

Susceptibility test

Bendiocarb showed very high level of resistance. This finding agrees with previous study (32), where they reported a percentage mortality range of 2.3–100%. Similarly, a study from Kumasi in Ghana, reported 38–56% mortality to bendiocarb (33). This study reports moderate level of resistance to deltamethrin from the study site. This finding is in agreement with study conducted in the northern guinea savanna of Nigeria (34) where they reported percentage mortality of 83%, and from north western part of Nigeria where they reported 78% mortality to deltamethrin (14). However, a study conducted around the study location disagrees with our finding where they reported a very high resistance of 38% mortality to deltamethrin (35). DDT was found to be resistant and this finding is in agreement with previous studies from Sudan, Guinea and Sahel savanna of Nigeria (13, 14, 19, 30, 36, 37). Malathion was found to be susceptible and agrees with studies from different regions within and outside Nigeria (14, 19, 33, 34, 37).

Species identification

Anopheles coluzzii was found to be the dominant sibling species followed by the An. arabiensis and An. gambiae s.s (Table 3). This is in agreement with a study conducted in northern Nigeria, where they reported An. coluzzii as the dominant specie 86.8% followed by An. arabiensis 77% (14). Also, the high presence of An. coluzzii reported is supported by previous studies (13, 15, 17). However, a study conducted on molecular identification of An. gambiae s.l mosquitoes in Kamuli District of Uganda, disagrees with our finding where they reported 98% of the mosquitoes to be An. gambiae s.s (38). Another study conducted in Nigeria by Oyewole and colleagues (2011), reported An. gambiae s.s as the dominant species (74.6%) followed by An. arabiensis 26.4% in contrast to our finding (39).

Knockdown resistance (kdr) West (L1014F) and East (L1014S)

The kdr mutations were observed in the study location with high frequency of the L1014F in the An. coluzzii species (Table 4). This agrees with study conducted by Ibrahim et al. (2014) where they found the kdr mutations in 80.1% of the An. coluzzii and 13.5% in An. arabiensis mosquitoes (12). Oyewole et al. (2011), in their study from south-western Nigeria reported that 87% of the mosquitoes resistant to deltamethrin carried the kdr mutations and 80% of the DDT resistant mosquitoes as well (36). Furthermore, increase L1014F was reported from Ghana by Lynd et al. (2010) Niger, by Czeher et al. (2008) and sharp et al. (2007) from Equatorial Guinea (40–42). A study by Awolola et al. (2003) contradicts our finding, where they reported high frequency of L1014F in An. gambiae s.s compared to An. coluzzii (43). Derrick et al. (2011) from Kenyan, also reported increased presence of kdr in An. gambiae s.s compared to the An. coluzzii. Also, increased presence of L1014S was reported by Protopopoff et al. (2008), from Burundi and Verhaeghen et al. (2010), from Uganda (44, 45).

Genotypic and allelic frequencies

This study reports high genotypic frequency particularly in the L1014Fkdr compared to the L1014S gene from the study location (Table 5). This is in agreement with previous study where they reported homozygous resistant of 74.1%, heterozygous resistant of 19.7% and homozygous susceptible of 6.2% for the L1014F in the An. coluzzii. While from the An. arabiensis; 69.2% were homozygous susceptible, 23.1% heterozygous and 7.7% homozygous resistance (14). A study by Habibu and colleagues (2017), contradicts our finding, where they reported 65.6% homozygous susceptible, 10% homozygous resistance and 24.4% as heterozygous resistance in the L1014S (36). While the L1014F showed 54.4% as homozygous susceptible, 21.6% as homozygous resistance and 24% as heterozygous resistance. The L1014S was seen both in the An. coluzzii and An. arabiensis (36). Our study also reports a very high allelic frequency in the L1014F compared to the L1014S (Table 5). This agrees with the results of Habibu et al. (2017) where they reported an allelic frequency of 48.9% and 65.9% in An. gambiae s.s and 20% and 61.8% in An. arabiensis in the L1014F (13). While the L1014S mutation recorded an allelic frequency of 40% and 55.3% in An. coluzzii; 20% and 30.8% in An. arabiensis. The L1014F has higher association with An. coluzzii (36). Studies by Derrick (2011) and Stump (2004) from Kenyan reported lower allelic frequency compared to our findings (20, 21). The high level of insecticide resistance observed may be associated with increased use of pyrethroids treated bed nets and carbamate for indoor residual spraying (IRS) in public health and agricultural applications (35, 46). Farmers in the study location use a wide range of pesticides and herbicides to protect their crops and these pesticides marketed under different trade names belong to all the chemical classes including organophosphates, organochlorine, pyrethroids and carbamates (36). The high presence of kdr gene seen in this population of mosquitoes could be explained by the increase usage and abuse of insecticides by farmers and the increase coverage of LLIN distribution.

Conclusion

This study reveals the co-occurrence of L1014F and L1014S mutations with dominance of An. coluzzii and high genotypic and allelic frequencies in the L1014F over L1014S-kdr. Very high level of resistance to DDT, deltamethrin and bendiocarb was also observed.
  29 in total

1.  Allelic discrimination using fluorogenic probes and the 5' nuclease assay.

Authors:  K J Livak
Journal:  Genet Anal       Date:  1999-02

2.  Identification of a point mutation in the voltage-gated sodium channel gene of Kenyan Anopheles gambiae associated with resistance to DDT and pyrethroids.

Authors:  H Ranson; B Jensen; J M Vulule; X Wang; J Hemingway; F H Collins
Journal:  Insect Mol Biol       Date:  2000-10       Impact factor: 3.585

3.  Comparative genomics: Insecticide resistance in mosquito vectors.

Authors:  Mylène Weill; Georges Lutfalla; Knud Mogensen; Fabrice Chandre; Arnaud Berthomieu; Claire Berticat; Nicole Pasteur; Alexandre Philips; Philippe Fort; Michel Raymond
Journal:  Nature       Date:  2003-05-08       Impact factor: 49.962

4.  Spatio-temporal patterns in kdr frequency in permethrin and DDT resistant Anopheles gambiae s.s. from Uganda.

Authors:  Katrijn Verhaeghen; Wim Van Bortel; Patricia Roelants; Paul Edward Okello; Ambrose Talisuna; Marc Coosemans
Journal:  Am J Trop Med Hyg       Date:  2010-04       Impact factor: 2.345

5.  Malaria--yesterday, today, and tomorrow.

Authors:  G V Brown; G J Nossal
Journal:  Perspect Biol Med       Date:  1986       Impact factor: 1.416

6.  A significant increase in kdr in Anopheles gambiae is associated with an intensive vector control intervention in Burundi highlands.

Authors:  Natacha Protopopoff; Katrijn Verhaeghen; Wim Van Bortel; Patricia Roelants; Tanguy Marcotty; Dismas Baza; Umberto D'Alessandro; Marc Coosemans
Journal:  Trop Med Int Health       Date:  2008-10-06       Impact factor: 2.622

7.  Absence of the kdr mutation in the molecular 'M' form suggests different pyrethroid resistance mechanisms in the malaria vector mosquito Anopheles gambiae s.s.

Authors:  T S Awolola; B D Brooke; L L Koekemoer; M Coetzee
Journal:  Trop Med Int Health       Date:  2003-05       Impact factor: 2.622

8.  High frequency of kdr L1014F is associated with pyrethroid resistance in Anopheles coluzzii in Sudan savannah of northern Nigeria.

Authors:  Sulaiman S Ibrahim; Yayo A Manu; Zainab Tukur; Helen Irving; Charles S Wondji
Journal:  BMC Infect Dis       Date:  2014-08-15       Impact factor: 3.090

9.  Insecticide resistance in malaria vectors in Kumasi, Ghana.

Authors:  Sandra Baffour-Awuah; Augustina A Annan; Oumou Maiga-Ascofare; Soma Diloma Dieudonné; Priscilla Adjei-Kusi; Ellis Owusu-Dabo; Kwasi Obiri-Danso
Journal:  Parasit Vectors       Date:  2016-12-07       Impact factor: 3.876

10.  Temporal escalation of Pyrethroid Resistance in the major malaria vector Anopheles coluzzii from Sahelo-Sudanian Region of northern Nigeria.

Authors:  Sulaiman S Ibrahim; Muhammad M Mukhtar; Jamila A Datti; Helen Irving; Michael O Kusimo; Williams Tchapga; Nura Lawal; Fatima I Sambo; Charles S Wondji
Journal:  Sci Rep       Date:  2019-05-14       Impact factor: 4.379

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.