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Status of insecticide susceptibility in Anopheles arabiensis and detection of the knockdown resistance mutation (kdr) concerning agricultural practices from Northern Sudan state, Sudan



Chemical control has been the most efficient method in mosquito control, the development of insecticide resistance in target populations has a significant impact on vector control. The use of agricultural pesticides may have a profound impact on the development of resistance in the field populations of malaria vectors. Our study focused on insecticide resistance and knockdown resistance (kdr) of Anopheles arabiensis populations from Northern Sudan, related to agricultural pesticide usage.


Anopheles arabiensis from urban and rural localities (Merowe and Al-hamadab) were fully susceptible to bendiocarb 0.1% and permethrin 0.75% insecticides while resistant to DDT 4% and malathion 5%. The population of laboratory reference colony F189 from Dongola showed a mortality of 91% to DDT (4%) and fully susceptible to others. GLM analysis indicated that insecticides, sites, site type, and their interaction were determinant factors on mortality rates (P < 0.01). Except for malathion, mortality rates of all insecticides were not significant (P > 0.05) according to sites. Mortality rates of malathion and DDT were varied significantly (P < 0.0001 and P < 0.05 respectively) by site types, while mortality rates of bendiocarb and permethrin were not significant (P >0.05). The West African kdr mutation (L1014F) was found in urban and rural sites. Even though, the low-moderate frequency of kdr (L1014F) mutation was observed. The findings presented here for An. arabiensis showed no correlation between the resistant phenotype as ascertained by bioassay and the presence of the kdr mutation, with all individuals tested except the Merowe site which showed a moderate association with DDT (OR= 6 in allelic test), suggesting that kdr genotype would be a poor indicator of phenotypic resistance.


The results provide critical pieces of information regarding the insecticide susceptibility status of An. arabiensis in northern Sudan. The usage of the same pesticides in agricultural areas seemed to affect the Anopheles susceptibility when they are exposed to those insecticides in the field. The kdr mutation might have a less role than normally expected in pyrethroids resistance; however, other resistance genes should be in focus. These pieces of information will help to improve the surveillance system and The implication of different vector control programs employing any of these insecticides either in the treatment of bed nets or for indoor residual spraying would achieve satisfactory success rates.


Malaria causes considerable morbidity and mortality in Sudan, especially among young children and pregnant women. In northern Sudan, 16% of hospital deaths are attributed to the disease. The case fatality rate of inpatient malaria cases is reported to be 2.5% [1].

Anopheles arabiensis Patton is a member of An. gambiae Gillies complex and the third most important malaria vector in Africa [2], while in Sudan this species is the principal malaria vector in most regions of the country, and the only known malaria vector mosquito in Northern and Central Sudan [3, 4].

The use of long-lasting insecticidal nets (LLIN) and indoor residual spraying (IRS) with WHO-approved insecticides are considered as two of the main strategies of preventing transmission of malaria and control in Sudan which is used on a large scale [5]. Pyrethroids are one of the most recommended classes of insecticide approved for LLINs because they are fast-acting and long-lasting and demonstrate relatively low toxicity to mammals. The control strategies, even though, have been hampered by the development and spread of vector resistance to insecticides, a growing problem in many African countries [5].

The use of insecticide has been the most successful way of controlling mosquitoes; the development of resistance in target populations has a significant impact on vector control, and ultimately on the prevalence of malaria. In recent year, insecticide resistance is a growing concern in many countries which requires immediate attention due to a pronounced increase in the use of insecticides for malaria control. These same insecticide classes are also widely used to control agricultural pests in Africa, and this has posed an additional selection pressure on mosquitoes when insecticide contaminated groundwater permeates their larval habitats. The intensive exposure to insecticides has resulted in the evolution of insecticide resistance in the Anopheles mosquito and other disease vectors [6].

The use of agricultural pesticides may have a weighty impact on the development of resistance in the field populations of malaria vectors. The practice of using pesticides was common in northern and central Sudan. Organophosphates and carbamates were the most commonly applied pesticides [7, 8].

Insecticide resistance to a range of insecticides in An. arabiensis has been reported in several different countries in Africa [9,10,11,12]. In Sudan malathion, DDT, dieldrin, bendiocarb, deltamethrin, and permethrin were reported [4, 7, 13,14,15,16].

The development and spread of malaria vector resistance to insecticides have been attributed to the intensive use of insecticides in agriculture, particularly in cotton cultivation [17, 18].

The DDT is a chloro which was banned since three decades ago, it is considered an organic persistent pollutant and its action affect the central nervous system, producing hyperactivity and tremor. Malation belongs to organophosphate class, is a rapidly metabolized and eliminated, and inhibits the acetyl-cholinesterase. Bendiocarb is a carbamate, relatively fast acting through inhibiting the cholinesterase activity which is rapidly revisable. Permethrin is a pyrethroid, neurotoxin, acting in the nervous system causing repetitive nerve action.

Pyrethroids and DDT target the voltage-gated sodium channel site. Two alternative substitutions of the leucine 1014 residue can lead to target site resistance. The 1014F allele was first identified in strains of An. gambiae from Burkina Faso and Côte d’Ivoire [19] and the 1014S allele was later identified in this species in Kenya [20].

In An. arabiensis, L014F allele has been found in several widely dispersed populations from Burkina Faso [21], Tanzania [22], Sudan [4, 15], Senegal [23], and Ethiopia [11, 12]. The L014S allele was also observed in wild populations of An. arabiensis from Uganda [24] and western Kenya [25]. Both L014F and 1014S alleles have been detected together in the same populations in Sudan [15] and Cameroon [26].

The spread of these mutations in wild populations of An. gambiae threatens the effectiveness of malaria vector control strategies based on the use of chemical insecticides and prompts surveillance and monitoring [27].

In this study, we determine the insecticide susceptibility status of An. arabiensis populations from Northern Sudan, find out if there is an association between susceptibility status and kdr mutations, and determine the effect of agricultural pesticide on susceptibility status of An. arabiensis within the study area.


The study area

The study was conducted in Northern Sudan state which is in desert and semi-desert areas. Two sites within the North Sudan state were chosen in this study divided into two categories: rural (Al-hamadab) and urban (Merowe).


The Hamadab area is located between points E 18° 40.122′ N 32° 664.2′ and E 18° 40.336′ N 32° 800.4′ at Hamadab dam. In the northwest and points E 18° 35.318′ N 32° 208.1′ at the beginning of El dgaweet village at the east bank and E 18° 35.698′ N 32° 310.0′ at the beginning of El koaa’ village at the west bank in the southwest. The area is consisting of four-part Hamadab east at the west bank of the island, Hamadab west and east, Hamadab island, and the dam city. The length of the area is about 10 km and the average width is about 1.5 km. The main economic activity is agriculture.

Merowe city

The area is in a semi-desert/desert area. Most of the residents live close to the Nile. The rainfall is rare and occasional. The maximum temperature reaches 47 °C from May to August and the minimum is about 7–10°C in winter. Agricultural activities depend on irrigation and influenced by the Nile flood and seasonal change in temperature. The cultivated land is extended along both sides of the Nile.

Merowe comprises a mixture of barren desert and urban sprawl that progressively becomes the dominant land use, while on the opposite bank the desert almost reaches the river (Fig. 1).

Fig. 1
figure 1

Map of the location of the study area in north Sudan state. Sudan map including urban site (Merowe) and rural site (Al-hamadab)

Mosquito collections and rearing

Anopheles sp. larvae were scooped, using a dipper, from diverse habitats including fresh shallow pools of water, construction and sand winning sites, gutters, vegetable farming sites, and slow running streams.

Potential breeding sites of mosquitoes from the study area were collected 2–3 times per week. It is recommended that susceptibility tests are conducted using 1–3-day-old unfed female mosquitoes. In the field, this can only be obtained through the rearing of collected mosquito larvae [28].

Mosquitoes were reared at (25°±2°C) and at a relative humidity of 70–80%, with a 12:12 light to dark cycle and 45-min dusk/dawn period. Larvae were maintained in distilled water and fed on powdered yeast (Vital Brewer’s Yeast) and with about 100-mg fish meal every day. 10% of sugar solutions were provided for adults and were identified morphologically to An. gambiae s.l. using the keys of [2, 29]. Whenever enough was obtained (100 female mosquitoes per test, as recommended by the WHO), the resultant adult mosquitoes were used for insecticide tests.

Insecticide susceptibility (bioassay test)

The choice of the insecticides, which were used in the study, was according to their chemical classification, their usage, the status of insecticide resistance in the area and to cover at least one insecticide in each class of insecticides.

Following WHO standard procedures [28], cohorts of non-fed adult females age 24–48 h post-emergence obtained from the larval collection were exposed to papers impregnated with WHO-recommended concentrations (V/W) of 0.75% permethrin, 4% DDT, malathion 5% and bendiocarb 0.1%. The control group was exposed to oil-treated control papers (without insecticide). Mosquitoes were exposed to the insecticide papers for 60 min, and during exposure time, the number of mosquitoes knocked down will be recorded on the susceptibility test form after 10, 15, 20, 30, 40, 50, and 60 min of exposure. Mortality was recorded after 24 h post-exposure.

The An. arabiensis colony F189 used in the present study was obtained from an insectary where it is under no insecticide selection pressure. It was stabilized in 2003 from Dongola, north Sudan. The F189 generation was exposed to insecticides from all four classes approved for use in malaria vector control: 5% malathion (organophosphate), 0.1% bendiocarb (carbamate), 4% DDT (organochlorine), and 0.75% permethrin (pyrethroids).

Knowledge, Attitude and Practice (KAP) surveys of agricultural pesticide use

To obtain information on the use of pesticides among farmers, KAP surveys were carried out in the rural (Al-hamadab) and urban (Merowe) study sites. A sample of 62 farmers was recruited to answer the questionnaires.

Detection of the kdr mutations

DNA extraction was done according to the method of Livak with some modifications [30]; single mosquitoes were homogenized in 1.5-ml Eppendorf tubes using a plastic pestle after adding 100 μl pre-heated (65 °C) Livak buffer; the homogenates were incubated at 65°C for 30 min. Potassium acetate was added to each tube and incubating the mixture on ice for 30 min. The mixer in each tube was centrifuged at 12,000g for 15 min at 4°C. Supernatants were transferred to clean tubes and 200μl ice-cold ethanol was added and centrifuged at 12,000g for 15 min at 4 °C. Pellets were rinsed in 100 μl 70% ice-cold ethanol, spun at 12,000g for 5 min at 4°C, and re-suspended in 50 μl in nuclease-free water. The knockdown resistance (kdr) genotypes were determined using two allele-specific PCR assays: (a) a diagnostic PCR developed by Martinez-Torres [19] was used for the detection of the leucine-phenylalanine kdr mutation in An. gambiae from West Africa and (b) Ranson [20] adapted this PCR for the detection of the leucine-serine kdr mutation in the Kenyan An. gambiae population. The two methods were used in this study for the detection of the West and East African kdr mutations in An. arabiensis permethrin /DDT susceptible and resistant specimens. Amplified fragments were analyzed in 1.5% agarose gel electrophoresis and visualized under UV light.

Statistical analysis

Data were analyzed using a statistical package for social sciences SPSS version 20 for Windows (SPSS Inc, Chicago, IL, USA). The resistance status of mosquito samples was classified according to the WHO test procedures [28]. Consequently, the mortality rate of ≥ 98%, 90–97%, and <90% considered as susceptible, suspected/potential resistance, and resistant respectively. Fifty- and ninety-five percent knockdown times/minute (KDT50 and KDT95) were computed using probit analysis. Sampling sites and according to their landscape and economic activities were classified into urban (Merowe) and rural areas (Al-hamadab).

Generalized linear models (GLM) with a Poisson log-linear link function was run to examine the effect of sites, site types (urban and rural), and insecticides and their interaction on bioassay mortalities after 24 h. The test was also achieved for each insecticide independently with sites and site types as factors. A chi-square test was used to determine whether observed genotype frequencies are consistent with Hardy-Weinberg equilibrium. The association between the presence (yes/no) of kdr genotype and resistance phenotype (resistance/susceptible) was further confirmed for each insecticide using logistic regression.


Bioassay results

The bioassay results after 24 h are illustrated in Table 1 and Figs. 2 and 3. According to the WHO criteria, all populations at the two sites would be considered as resistant to DDT and malathion. Permethrin and bendiocarb at the two sites showed 100% mortality rates; accordingly, their populations could be defined as fully susceptible, while the population of Dongola colony F189 showed mortality of 91% to DDT and hence would be considered as potentially resistant. Malathion susceptibility was found to be significantly low and showed 53% and 46% at Hamadab and Merowe respectively. In contrast, bendiocarb, malathion, and permethrin mortality showed susceptibility.

Table 1 WHO standard bioassay test on Anopheles arabiensis
Fig. 2
figure 2

Mean mortality rates of Anopheles arabiensis exposure to bendiocarb, DDT, malathion, and permethrin. Mortality rates according to different sampling sites. Bars show mean mortality with standard deviation (SD). Solid horizontal lines show the WHO mortality threshold for the definition of resistant mosquito

Fig. 3
figure 3

Mean mortality rates of Anopheles arabiensis exposure to insecticides. Mean mortality according to site type (urban and rural). Bars show mean mortality with standard deviation (SD). Solid horizontal lines show the WHO mortality threshold for the definition of resistant mosquitoes

Generalized linear models (GLM) analysis indicated that insecticides, sites, site type, and their interaction were determinant factors on mortality rates (P < 0.01) (Table 2). Furthermore, the GLM test was applied for each insecticide independently. Sites and site types were considered as factors, while mortality rates as dependent variable (Table 3). Excluding malathion, mortality rates of all insecticides were not significant (P > 0.05) according to sites. Mortality rates of malathion and DDT were varied significantly (P < 0.0001 and P < 0.05 respectively) by site types, while mortality rates of bendiocarb and permethrin were not significant (P >0.05).

Table 2 Generalized linear model testing the effects of insecticide, site, and site type on bioassay mortality
Table 3 GLM testing the effects of site and site type on bioassay mortality for each insecticide

Knockdown time thresholds

The 50% and 95% knockdown time thresholds (KDT50 and KDT95) calculated over 1 h against bendiocarb, DDT, malathion, and permethrin for each site are shown in Table 4. Overall, all populations from the two sites showed a faster knockdown time 50% to permethrin and bendiocarb than to DDT and malathion.

Table 4 Knockdown times (in minutes) (KDT50 and KDT95) of Anopheles arabiensis exposure to insecticides

The rural area population (Al-Hamadab) was knocked down significantly faster with all examined insecticides because it had the lowest KDT50 except in DDT, wherein Dongola colony F189 population took significantly the longest time to be knocked down than the other population except in malathion.

Knowledge, Attitude and Practice (KAP)

The KAP data shows that the most commonly cultivated crops are vegetables and beans in both winter and summer seasons. The practice of using pesticides was common among all farmers in different sites, with most sourcing the products from private suppliers. Out of six agricultural pesticides used, the focus was on the classes used by both farmers and public health authorities. Organophosphates were by far the most commonly applied pesticides, although there was no difference between urban and rural farmers in the pesticide classes used or the number applied. The farmers in both sites replaced the product with another class if efficacy was perceived to fall, but there was no significant difference in opinion as to whether poor pesticide application practice impacted efficacy. Farmers most commonly complained of mosquito bites at their homes during the summer season. Most farmers used mosquito nets for protection in the home. The summer considers the season of malaria peak in urban sites with winter as suggested by rural farmers (Table 5). Breeding sites observed in the urban sites were always road puddles, pools, and broken pipeline pools while in rural sites were mainly irrigation canals and hoof prints.

Table 5 Summary of KAP agro-sociological data: comparison of studied variables between urban and rural sites

Kdr allele frequency

Table 6 illustrates the existence of a 1014F-kdr allele in the three populations of An. arabiensis stratified according to whether they were resistant or susceptible after exposure to the WHO diagnostic dose of permethrin and DDT. The 1014S-Kdr allele was absent from all screened samples but the 1014F-kdr allele was detected. R allelic frequency was significantly higher in survivors for DDT (0.69 and 0.67). No RR genotype was identified among dead mosquitoes after DDT or pyrethroids exposure. In total, 141 samples were screened for the existence of a 1014F-kdr allele. The 1014F-kdr allele appeared in 107 specimens (75.88%) of which 96 (89.71%) were heterozygote. In summary, the resistant phenotype specimens constitute about 42% of heterozygote ones. The association between survivorship and the existence of a 1014F-kdr allele was measured by odds ratios and is illustrated in Table 6.

Table 6 L1014F alleles frequencies detected in mosquitoes of An. Arabiensis exposed to DDT and permethrin


This study showed that based on the WHO criteria for characterizing insecticide resistance/susceptibility, An. arabiensis from urban and rural localities (Merowe and Al-hamadab) were fully susceptible to bendiocarb and permethrin whereas resistant to DDT and highly resistant to malathion. The population of An. arabiensis from the reference Dongola colony F189 was susceptible to bendiocarb, malathion, and permethrin and potential resistance to DDT.

Intriguingly, despite the high level of compliance and long-term use of permethrin for public health purposes in Sudan [4, 7], the An. arabiensis mosquito population from North Sudan has not developed resistance to this chemical. A possible explanation is that its levels in agricultural use are below what would select for possible naturally occurring resistance in this species and the low-frequency use of pyrethroids in Northern Sudan state for public health.

The insecticide susceptibility data indicate high levels of resistance to malathion in An. arabiensis at all localities, the highest level of resistance as shown by the survival rates to malathion was recorded in Merowe (46%) followed by Al-hamadab (53%), and it is noteworthy that during the KAP agro-sociological surveys, it was noticed that malathion has been used in agriculture, indicating purchase from illegal markets. Although there was no significant difference in the type of pesticides used between urban and rural sites, farmers in the latter apply pesticides more frequently. Resistance to DDT and malathion is consistent with previously reported in An. arabiensis from El Rahad area (88% and 59% respectively) [16].

Knockdown time 50 was not significantly different between the rural and urban collections and the Dongola susceptible strain except in malathion. Besides, KDT50 and KDT95 for DDT and permethrin observed in the present study compare well with the previous study in Khartoum for An. arabiensis populations where mosquitoes are still relatively susceptible to DDT [31], whereas in the El Rahad area where specimens are highly resistant to DDT (67%), KDT50 is longer (more than the 67 min) [16].

The time to 50% knockdown for malathion at Merowe and Al-hamadab was higher (KT50 =64.50 min for Merowe and 61.10 min for Al-hamadab) than that of a susceptible laboratory colony (KT50=38.92).

The pyrethroid resistance levels in the study area at the present are unlikely to cause an epidemiological risk but regular periodic monitoring to establish levels of resistance is needed. Anopheles arabiensis from Merowe and Al-hamadab are susceptible to permethrin, and yet, their knockdown times are like those recorded in Khartoum 2007 [31]. In Gezira and Sennar, An. arabiensis showed high levels of resistance to permethrin (final mortalities varying between 10 and 55% and 6 and 22% respectively) [4]. Conversely, populations of this species proved susceptible to pyrethroids at three localities in the eastern part of the country. Recent study revealed that An. arabiensis remained susceptible to bendiocarb and permethrin in a border state with the Northern state [32]. This finding corroborates other studies from other parts of Sudan which also revealed [33].

The western kdr mutation, L1014F, was found in urban and rural sites whereas the eastern kdr mutation, L1014S, was not detected in any specimens. The absence of eastern Kdr mutation was confirmed by other studies in Khartoum and central Sudan [4, 7, 14].

The finding presented here for An. arabiensis showed no correlation between the resistant phenotype as ascertained by bioassay and the presence of the kdr mutation, with all individuals tested except the Merowe site which showed a moderate association with DDT (OR= 6).

Resistance to pyrethroids and DDT in An. arabiensis associates strongly with kdr [7, 21, 34]. However, a comparable correlation of kdr with the phenotypic expression of resistance could neither be established in a DDT-selected An. arabiensis laboratory strain from Sennar [35] nor in wild populations [4, 14].

The results suggest that the kdr genotype would be a poor indicator of phenotypic resistance to permethrin. Nevertheless, a moderate association between kdr and phenotype in DDT was proved which indicates the cross-resistance to permethrin could be much lower or absent. This finding is in concordance with [11].

The finding also suggests that the wild-type (Leu Leu) genotype among the dead individuals is more likely to associate with susceptible phenotype than resistance in the mosquito vector An. arabiensis from north Sudan.


Overall, the results obtained in this study suggest good susceptibility of An. arabiensis in the study area to permethrin and bendiocarb (100% mortality); accordingly, they could be suitable insecticides for vector control activities, and the use of those insecticides for ITNs or IRS will be most likely promising.

The data also suggest that agricultural pesticides that are heavily used in both agriculture and public health might have a role in insecticide resistant of Anopheles arabiensis; the coordination between the agriculture and public health authorities regarding the use of those pesticides is recommended and developing rational management strategies for integrated insecticide-based control programs that can use both vectors and crop pests.

In general, the findings of kdr genotype emphasized a weak or moderate association between the presence of kdr and resistance phenotype for permethrin and DDT (p value is not significant in all of the sites), suggesting that kdr should not be used as the only indicator for monitoring insecticide resistance, other resistance mechanisms should be explored.

Availability of data and materials

All data generated or analyzed during this study are included in this published article.


kdr :

Knockdown resistance


Long-lasting insecticidal nets


Indoor residual spray


World Health Organization


Generalized linear models


Odds ratio


Knockdown time 50%


Knockdown time 95%


Knowledge, Attitude and Practice


Deoxyribonucleic acid




Polymerase chain reaction




Statistical Packages for Social Sciences


  1. National Malaria Control Program report (2007-2012): National Strategic Plan for RBM. Republic of the Sudan- Federal Ministry of Health.

  2. Gillies MT, Coetzee M. A (1987). Supplement to the Anophelinae of Africa South of the Sahara (Afrotropical Region). Publications of the South African Institute for Medical Research, 55.

  3. El Sayed BB, Arnot DE, Mukhtar MM, Baraka OZ, Dafalla AA, Elnaiem DA, Nugud AD et al (2000) A study of the urban malaria transmission problem in Khartoum. Acta Tropica 75(2):163–171.

    Article  Google Scholar 

  4. Abdalla H, Matambo TS, Koekemoer LL, Mnzava AP, Hunt RH, Coetzee M (2008). Insecticide susceptibility and vector status of natural populations of Anopheles arabiensis from Sudan. Transactions of the Royal Society in Tropical Medicine and Hygine,102: 263-271, 3, DOI:

  5. WHO (2011) Global insecticides use for vector-borne disease control. WHO Pesticide Evaluation Scheme, Geneva

    Google Scholar 

  6. Ranson H, Abdalla H, Badolo A, Guelbeogo WM, Kerah-Hinzoumbe C, Yangalbe-Kalnone E, Sagnon N, Simard F, Coetzee M (2009) Insecticide resistance in Anopheles gambiae: data from the first year of a multi-country study highlight the extent of the problem. Malaria J 8(1):299.

    Article  Google Scholar 

  7. Abuelmaali SA, Elaagip AH, Basheer MA, Frah EA, Ahmed FTA, Elhaj HFA, Seidahmed OME, Weetman D, Mahdi Abdel Hamid M (2013) Impacts of agricultural practices on insecticide resistance in the malaria vector Anopheles arabiensis in Khartoum State, Sudan. PLoS ONE 8(11):e80549.

    Article  Google Scholar 

  8. Siddieg MI, Nugud AD, Jamal AE, Abdalmagid MA, Bashir AI, Toto HK et al (2012) Insecticide resistance in Anopheles arabiensis Patton in White Nile State during the dry season. Sudanese. J Public Health 7(4):Pp136–Pp141

    Google Scholar 

  9. Mouatcho JC, Munhenga G, Hargreaves K, Brooke BD, Coetzee M, Koekemoer LL et al (2009) Pyrethroid resistance in a major African malaria vector Anopheles arabiensis from Mamfene, northern KwaZulu-Natal, South Africa. South African J Sci 105:127–131

    Google Scholar 

  10. Hargreaves K, Hunt RH, Brooke BD, Mthembu J, Weeto MM, Awolola TS, Coetzee M et al (2003) Anopheles arabiensis and An. quadriannulatus resistance to DDT in South Africa. Med Vet Entomol 17(4):417–422.

    Article  Google Scholar 

  11. Balkew M, Ibrahim M, Koekemoer LL, Brooke BD, Engers H, Aseffa A, Gebre-Michael T, Elhassan I et al (2010) Insecticide resistance in Anopheles arabiensis (Diptera: Culicidae) from villages in central, northern and southwest Ethiopia and detection of kdr mutation. Parasite & Vectors 3(1):40.

    Article  Google Scholar 

  12. Yewhalaw D, Wassie F, Steurbaut W, Spanoghe P, Van Bortel W, Denis L, Tessema DA, Getachew Y, Coosemans M, Duchateau L, Speybroeck N et al (2011) Multiple insecticide resistance: an impediment to insecticide-based malaria vector control program. PLoS One 6(1):e16066.

    Article  Google Scholar 

  13. Hemingway J. (1983). Biochemical studies on malathion resistance in Anopheles arabiensis from Sudan. Transactions of the Royal Society in Tropical Medicine and Hygine, 77:477–480, 4, DOI:

  14. Himeidan YE, Muzamil HM, Jones CM, Ranson H et al (2011) Extensive permethrin and DDT resistance in Anopheles arabiensis from eastern and central Sudan. Parasites & Vectors 4(1):154.

    Article  Google Scholar 

  15. Himeidan YE, Chen H, Chandre F, Donnelly MJ, Yan G et al (2007). Short report: permethrin and DDT resistance in the malaria vector Anopheles arabiensis from eastern Sudan Am J Tropical Med Hygine, 77: 1066-1068. Public Medicine: 18165523.

  16. Yagoop JES, Bashir HHN, Assad OHMY et al (2013) Susceptibility of anopheles arabiensis (Diptera: Culicidae) adults to some commonly used agricultural insecticides in El Rahad Agricultural Corporation, central Sudan. Scholarly J Agricult Sci 3(1):10–20

    Google Scholar 

  17. Diabate TA. Baldet F, Chandre M, Akoobeto TR, Guiguemde F, Darriet et al (2002). The role of agricultural use of insecticides in resistance to pyrethroids in Anopheles gambiae s.l. in Burkina Faso. Am J Tropical Med Hygine, 67: 617–622, 6, DOI:

  18. Elissa JN, Mouchet F, Riviere JY, Meunier and Yao K et al (1993). Resistance of Anopheles gambiae s.s. to pyrethroids in Cˆote d’Ivoire. Ann Soc Belgian Med 73: 291–294.

  19. Martinez-Torres D, Chandre F, Williams MS, Darriet F, Bergé JB, Devonshire AL, Guillet P, Pasteur N, Pauron D et al (1998) Molecular characterization of pyrethroid knockdown resistance (kdr) in the major malaria vector, Anopheles gambiae s.s. Insect Molecular Biology 7(2):179–184.

    Article  Google Scholar 

  20. Ranson H, Jensen B, Vulule JM, Wang X, Hemingway J et al. 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: 491-497. DOI: Public Medicine: 11029667.

  21. Diabate A, Brengues C, Baldet T, Dabiré KR, Hougard JM, Akogbeto M, Kengne P, Simard F, Guillet P, Hemingway J, Chandre F et al (2004) The spread of the Leu-Phe kdr mutation through Anopheles gambiae complex in Burkina Faso: genetic introgression and de novo phenomena. Tropical Medicine of International Health 9(12):1267–1273.

    Article  Google Scholar 

  22. Kulkarni MA, Rowland M, Alifrangis M, Mosha FW, Matowo J, Malima R, Peter J, Kweka E, Lyimo I, Magesa S, Salanti A, Rau ME, Drakeley C et al (2006) Occurrence of the leucine-to-phenylalanine knockdown resistance (kdr) mutation in Anopheles arabiensis populations in Tanzania, detected by a simplified high-throughput SSOP-ELISA method. Malaria Journal 5(1):56.

    Article  Google Scholar 

  23. Pagès F, Texier G, Pradines B, Gadiaga L, Machault V, Jarjaval F, Penhoat K, Berger F, Trape JF, Rogier C, Sokhna C et al (2008) Malaria transmission in Dakar: a two-year survey. Malaria Journal 7(1):178.

    Article  Google Scholar 

  24. Verhaeghen K, Van Bortel W, Trung HD, Sochantha T, Keokenchanh K et al (2010) Knockdown resistance in Anopheles vagus, An. sinensis, An. paraliae and An. peditaeniatus populations of the Mekong region. Parasite & Vectors, 3:59.

  25. Chen H, Githeko AK, Githure JI, Mutunga J, Zhou G, Yan G et al (2008) Monooxygenase levels and knockdown resistance (kdr) allele frequencies in Anopheles gambiae and Anopheles arabiensis in Kenya. J Med Entomol 45(2):242–250.

    Article  Google Scholar 

  26. Ndjemai HN, Patchoke S, Atangana J, Etang J, Simard F, Bilong CF, Reimer L, Cornel A, Lanzaro GC, Fondjo E et al (2009). The distribution of insecticide resistance in Anopheles gambiae s.l. populations from Cameroon: an update. Transactions of Royal Society in Tropical Medicine and Hygine, 103:1127-1138, 11, DOI:

  27. Kelly-Hope L, Ranson H, Hemingway J et al (2008) Lessons from the past: managing insecticide resistance in malaria control and eradication programmes. Lancet of Infectious Diseases 8(6):387–389.

    Article  Google Scholar 

  28. WHO (2013). Test procedures for insecticide resistance monitoring in malaria vector mosquitoes. Available: p. 18. WHO Library Cataloguing-in-Publication Data.

  29. Gillies MT, De Millon B (1968). The Anophelinae of Africa South of the Sahara. Publications of the South African Institute of Medical Research, Johannesburg, N. 54.

  30. Livak KJ (1984) Organization and mapping of a sequence on the Drosophila melanogaster X and Y chromosomes that is transcribed during spermatogenesis. Genetics 107(4):611–634.

    Article  Google Scholar 

  31. Seidahmed OME, Abdelmajed MA, Mustafa MS, Mnzava AP et al (2012) Insecticide susceptibility status of the malaria vector Anopheles arabiensis in Khartoum city, Sudan: differences between urban and periurban areas. Eastern Medicine and Health Journal 18(7):71–77

    Google Scholar 

  32. Osman SOS, Hajhamed RM, Toto TH, Abdalmajed MA, Jihad A, Azrag SR, Aljack AG (2020) Monitoring of insecticide resistance of Anopheles arabiensis Patton to DDT 4%, deltamethrin 0.05%, permethrin 0.75% and bendiocarb 0.1% in River Nile State, Sudan. J Genetic Eng Biol Resource 2(1):9

    Google Scholar 

  33. Himeidan YE, Dukeen MY, El-Rayah el A, Adam I. (2004). Anopheles arabiensis: abundance and insecticide resistance in an irrigated area of eastern Sudan. Eastern Medicine and Health Journal, 10:167-174.

  34. Abdalla H, Wilding CS, Nardini L, Pignatelli P, Koekemoer LL, Ranson H, Coetzee M et al (2014) Insecticide resistance in Anopheles arabiensis in Sudan: temporal trends and underlying mechanisms. Parasites & Vectors 7(1):213.

    Article  Google Scholar 

  35. Matambo TS, Abdalla H, Brooke BD, Koekemoer LL, Mnzava A et al (2007). Insecticide resistance in the malarial mosquito Anopheles arabiensis and association with the kdr mutation. Medical and Veterinary Entomology, 21:97-102. doi: PubMed: 17373952, 1.

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The Department of Onchocerciasis, National Public Health Laboratory, and Department of Molecular Epidemiology, Tropical Medicine Research Institute (TMRI), are greatly acknowledged for offering their molecular laboratory. Special thanks go to Mr. Sohaib also for facilitating the fieldwork. The study obtained financial assistance from the Department of Medical Entomology.


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Conceived and designed the experiments: MYK, SAA, RMB, HAS. Performed the experiments: MYK, TBA. Analyzed the data: TBA. Contributed reagents/materials/analysis tools: SAA, MYK. Drafted the manuscript: MYK, TBA, SKB. Entomological field surveys: MYK, AAA. Revised critically the Manuscript: HAS, RMB, SAA, SKB. All authors have read and approved the manuscript.

Corresponding author

Correspondence to S. A. Abuelmaali.

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Ethical approval was not needed for mosquito larvae collection. The permission to participate in the study by the farmers was sought and granted by the same.

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Korti, M.Y., Ageep, T.B., Adam, A.I. et al. Status of insecticide susceptibility in Anopheles arabiensis and detection of the knockdown resistance mutation (kdr) concerning agricultural practices from Northern Sudan state, Sudan. J Genet Eng Biotechnol 19, 49 (2021).

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  • Anopheles arabiensis
  • Insecticide resistance
  • kdr
  • KDT50
  • KDT95