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High insecticide resistances levels in Anopheles gambiaes s.l. in northern Uganda and its relevance for future malaria control

Abstract

Objective

The aim of the study was to determine the level of insecticide resistance and diversity in Anopheles mosquitoes in northern Uganda. Standard WHO insecticide susceptibility test assays were used to test for susceptibility to 0.5% malathion, 0.1% bendiocarb, 0.05% deltamethrin and 0.75% permethrin on 3–5 day old generation one progeny. We also screened for species diversity and knockdown resistance using PCR assay.

Results

Anopheles gambiae s.s. is the predominant malaria vector in northern Uganda followed by An. arabiensis. An. gambiae s.s. was susceptible to malathion and bendiocarb with the observed mortality rate of 100% and 98–100% observed respectively while very high resistance was observed with deltamethrin and permethrin. Minimal KDR-eastern variant homozygous forms of 8.3% in An. gambiae s.s. were detected in Oyam district. In conclusion, this study confirms that An. gambiae s.s. females are susceptible to malathion and bendiocarb while high intensity of resistance was observed with deltamethrin and permethrin in the same area. Use of carbamate and organophosphate insecticides bendiocarb and malathion for indoor residual spraying activities in northern Uganda is highly recommended since high levels of pyrethroids resistance (deltamethrin and permethrin) was detected in the area.

Introduction

Uganda is ranked fourth among the 15 high-burden countries that carry 80% of the global malaria burden [1]. Malaria remains the number one leading cause of morbidity and mortality in the country with an estimated 16 million cases and over 10,500 deaths per year, respectively [2]. In northern Uganda particularly, the 26 years of civil war in the region, beginning in the mid-1980s and lasting until 2006 [3, 4] pushed the area to register the highest number of malaria cases recorded in the country (63% prevalence in 2009) [2, 5, 6].That being said, the region also has a long history of IRS and LLINs usage for management of malaria vectors [7]. Household ownership of at least one insecticide treated bed net in the region stood at 81.8% in 2010 [8]. Worldwide, the current use of LLINs and IRS for effective malaria vector control is challenged by widespread insecticide resistance in mosquito populations [9, 10]. There is also heavy usage of pesticides for agricultural purposes in northern Uganda [11, 12]. The use of pesticides for agricultural purposes are known to contribute to selection of resistance in mosquitoes which undermines malaria vector control interventions [13]. All these factors could be driving mosquito’s resistances to insecticides in northern Uganda.

Insecticide resistance monitoring and surveillance is highly recommended by World Health Organization (WHO) for guiding national monitoring and management plans [14]. In northern Uganda, despite having the highest malaria prevalence rate in the country, little attention has been paid to the contribution of mosquito resistance to high malaria prevalence seen in the region. The use of preventive intervention measures like IRS and LLINs are known to impact on the resting and feeding behavior of major malaria vectors [15] and can result in shift in mosquito species compositions [16, 17]. This happens as a result of the more exophagic, exophilic and zoophilic nature of An. arabiensis compared to An. gambiae s.s. and An. funestus behaviors which can similarly affect the performance of IRS. It has been reported in Kenya and Tanzania that vector control intervention might be less effective against An. arabiensis, that is less killed by LLIN and treated with pyrethroids as compared to their counterparts An. gambiae s.s. and An. funestus [18, 19]. We investigated insecticide susceptibility status and diversity of malaria vectors in northern Uganda. This information may be used in planning future malaria control programmes and for efficient management of insecticide resistance strategies in the study area.

Main text

Methods

Study sites

This study was carried out in districts of Kitgum (3°17′ 20.0″ N, 32°0.52′ 40.0″ E), Lamwo (3°32′ 0″ N, 32°48′ 0″ E), Agago (2°49′ 59″ N, 33°19′ 60″ E), Gulu (2°44′ 59″ N, 32°00′ 0″ E), Oyam (2°22′ 52″ N, 32°30′ 2″ E) and Pader (2°49′ 59″ N, 33°19′ 60″ E) during the rainy season of 2017, 2018 and the dry season of February 2019 [20, 21].

Collection of adult and larval mosquitoes

Collection of adult Anopheles mosquitoes took place once during the rainy season in May of 2017, in April, June–September of 2018 and during the dry season in February of 2019. Two sub-counties from each district were randomly selected out of which two villages were chosen at random for study (Table S1). Collection of indoor resting adult mosquitoes in households was done between 6 a.m. and 12 noon using pyrethrum spray collection (PSC) method [22] and identified to the species level according to Gilles [23]. Collection of An. gambiae s.l. larvae were done independently from adult in sand mining pits, quarry, brick making sites, river beds and rain water collection sites.

Table 1 Median Lethal Time for knockdown in Adult female An. gambaie s.s. mosquitoes (from Gulu district, Uganda) by various insecticides

Insecticide susceptibility bioassay tests

3–5 day old F1 female progeny mosquitoes were randomly selected and subjected to standard WHO susceptibility tests [24]. We exposed a total 400 female An. gambiae s.l. to different standard WHO insecticide-treated papers having discriminating susceptibility dosage of 0.1% bendiocarb, 0.75% permethrin, 0.05% deltamethrin and 0.5% malathion to assess potential insecticide resistance. Kisumu strain of An. gambiae s.s. were used as negative control. Knockdowns time of 10, 15, 20, 30, 40 min through to 60 min after the start of exposure were recorded. Mortality was recorded 24 h after exposure.

Detection of East African KDR resistance mutations in An. gambiae s.l

We used knockdown resistance method described by Ranson [25] to assay for single base pair specific single nucleotide polymorphisms (SNPs) leucine to serine substition TTA/TCA mutation in the voltage-gated sodium channel. We amplified 5 µl gDNA extracted using Qiagen kit (Qiagen, Valencia, CA, USA), 0.2 μM of the specific primers (AgD1, AgD2, AgD4 and AgD5) with 1 unit of GoTaq Green Master Mix (Promega, Madison, MO) in the buffer in a total volume of 25 µl using PCR (SimpliAmp, Applied Biosystems, Life Technologies, Singapore). PCR methods described by Scott [26] for An. gambaie s.l. and for members of the An. funestus s.l. group by Koekemoer [27] were used for mosquitoes species identification.

Statistical analysis

We applied the Abbott’s formula to correct the knockdown rates for testing the toxicity of each insecticide [28] and then transformed them to Probits [29] for linear regression analysis and the determination of 50% knockdown (KDT50). For Probit analysis, we used GraphPad Prism version 7.00 for Mac (La Jolla, CA, USA). We used weighted mean to summarize knockdown due to different insecticides, and adopted the WHO criteria [24] to interpret our results.

Ethical consideration

Permission to conduct the study was granted by the Uganda National Council for Science and Technology and the Office of the Ugandan President (SS4610). Heads of households provided written informed consent.

Results

Distribution and seasonal variation in adult Anopheles mosquito populations

More Anopheles mosquitoes were collected in Oyam followed by Gulu, Agago, Kitgum, Lamwo and Pader (Additional file 1: Table S1). There was a noted seasonal variation in the mosquito collection (Additional file 1: Table S1).

Out of the 270 adult mosquitoes collected by PSC and analyzed by PCR, 8% (22/270) were An. arabiensis and 92% (248/270) An. gambiae s.s. with varied distribution across the six districts (Additional file 2: Table S2). No An. funestus was detected.

Susceptibility of An. gambiae s.l. to insecticides

It was not always possible to bioassay the recommended number of mosquitoes (i.e., 100 specimens per location in Agago, Oyam and Kitgum) due to the low density of mosquitoes collected in the surveys. Susceptibility of An. gambiae s.l. to bendiocarb and malathion was observed in Gulu with mortality rate of 98% and 100% (Fig. 1, Additional file 3: Table S3). Resistance (< 95% mortality) of An. gambiae s.l. to permethrin and deltamethrin was observed in all the samples with mortality varying from 5% to 6% in Gulu (Table S4). The LT50 for malathion and bendiocarb on An. gambiae s.s. were shorter compared to deltamethrin and permethrin (Table 1).

Fig. 1
figure1

Percentage of An. gambiae s.l. knocked down during 60-min exposure to bendiocarb, deltamethrin, permethrin and malathion using the WHO tube assay in Gulu District in Uganda, November, 2018 (larval collections)

Our subsequent PCR of sibling species on most of the mosquitoes (N = 455) post-exposure revealed that all these mosquitoes to be An. gambiae s.s. (100%).

Prevalence of East African (L1014S) knockdown resistance (KDR) point mutations in An. gambiae s.s. in Gulu district

The summary of L1014S mutations from genotyping of An. gambiae s.s. (n = 159) from PSC collection and An. gambiae s.s. (n = 400) from susceptibility test assays are in Additional file 2: Table S2 and Additional file 4: Table S4. Most of the PSC and susceptibility tested An. gambiae s.s. mosquitoes were homozygous for susceptible wild type (Table 2 and Additional file 2: Table S2).

Table 2 KDR allele frequencies

Discussions

We report high level of insecticides resistance to the commonly used pyrethroids insecticides permethrin and deltamethrin in the region. This could be due to the long-term use of pyrethroids insecticides for IRS and pyrethroid-treated LLINs in the region. For instance since 1960 there were no IRS activities in region until 2005 when it was introduced as a result of malaria epidemics in refugee camps [7, 30] From 2007 to 2009 spraying was done biannually using pyrethroid insecticide, alpha-cypermethrin but in 2010, it was shifted to a carbamate insecticide, bendiocarb due to high mosquito resistance [7, 31].

What is clear from these results is that the current use of pyrethroids (permethrin, deltamethrin) in northern Uganda is less effective against malaria vectors due to resistance of these mosquitoes to pyrethroid insecticides. Similar studies conducted in 2009 showed resistances to both DDT and the pyrethroids l-cyhalothrin, permethrin, lambdacyhalothrin in all places in northern Uganda [31, 32]. What could still be fueling this continued high level of resistance to pyrethroids seen here in could be the selection pressure attributed to long term history of usage of IRS and LLINs in the management of malaria vectors in the region. A similar study conducted by Bawuba [7] suggests selection pressure to pyrethroids as one factor. The selection pressure could also be attributed to use of similar classes of insecticides in agriculture [33]. It is also worth noting that pyrethroid resistance of malaria vectors is not a Ugandan problem alone, but a widespread problem across Africa [9, 24, 34].

Our results showed high number of An. gambiae s.s. mosquitoes collected during dry season as compared to rainy season in Gulu and Kitgum. This indicates that IRS and LLINs is not having impact on the species composition in northern Uganda. It also shows that the withdrawal of IRS which was done in 2014 stabilized mosquito population sizes and their distribution in the region. An. gambiae s.s. has been and still is the predominant indoor resisting vector in the region. Previous studies identify An. gambiae s.s. as the major malaria vector in northern Uganda [31, 35]. However, the ability of these vectors to predominate during dry season could possibly be explained by grass thatched housing structures that provide cool conditions for habitation of mosquitoes. This has a far reaching implication in the transmission of the malaria in the area and it could explain why there is constant malaria transmission throughout the year. Besides, we also see An. arabiensis in low density in all the six districts and still contribute to malaria transmission.

Implication for future malaria vector control

High level of resistance currently seen in malaria vectors in northern Uganda reduces the efficacy of pyrethroid-based interventions in the region. Since bendiocarb and malathion insecticides are still showing effectiveness for malaria vector-control programmes, the two insecticides should be used in rotation and sequenced with other insecticides that have different mode of action. The inclusion of An. arabiensis in the study is a call for incorporating other malaria vector control interventions that target outdoor biters’ into future studies.

Conclusions

An. gambiae s.s is the predominant malaria vector followed by An. arabiensis. An. gambiae s.l. females in northern Uganda are still susceptible to malathion and bendiocarb while high level of resistance was seen in deltamethrin and permethrin. Metabolic phenotype resistance seem to contribute to the pyrethroid resistance with little genetic (KDR) mutations for resistance.

Limitations

We acknowledge the limitations of the current study including:

  • Time constraints and limited mosquito larval samples prevented us from conducting more susceptibility tests.

Availability of data and materials

The authors declare that all the main data supporting the findings of this study are available within the article (and its supplementary information files).

Abbreviations

IRS:

Indoor residual spraying

LLINs:

Long lasting insecticide-treated nets

WHO:

World Health Organization

KDR:

Knockdown resistance

PCR:

Polymerase chain reaction assay

PSC:

Pyrethrum spray collection method

SSA:

sub-Saharan Africa

ACT:

Artemisinin-based combination therapy

PMI:

President’s Malaria Initiative

IPTP:

Intermittent preventive treatment

KDT50:

Knockdown time

ITN:

Insecticide-treated nets

LRA:

Lord’s Resistance Army

IDP:

Internally displaced person

GPS:

Global Positioning System

SNPs:

Single nucleotide polymorphisms

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Acknowledgements

We are grateful to the district entomologists and communities of Gulu, Oyam, Pader, Lamwo, Kitgum and Agago region for participating in this research. Our thanks go to Dr. Ochan Otim for facilitating the review of this paper.

Funding

The authors disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work was supported through the DELTAS Africa Initiative Grant #DEL-15-011 to THRiVE-2 awarded through Career Development Award to Dr. Richard Echodu. The DELTAS Africa Initiative is an independent funding scheme of the African Academy of Sciences (AAS)’s Alliance for Accelerating Excellence in Science in Africa (AESA) and supported by the New Partnership for African’s Development Planning and Coordinating Agency (NEPAD Agency) with funding from the Wellcome Trust Grant #107742/Z/15/Z and the UK government. The views expressed in this publication are those of the author(s) and not necessarily those of AAS, NEPAD Agency, Wellcome Trust or the UK government. Funder had no role in the design of the study and collection, analysis, and interpretation of data and in writing the manuscript.

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Authors

Contributions

RE conceived, contributed design of the study, field collections, performed laboratory work, analyzed the data, and drafted an initial version of the manuscript. JI, WSO, PM, JA, DO and TI performed field collections, laboratory work and analyzed the data. EAO and JJL conceived, designed the study, coordinated fieldwork and provided guidance. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Richard Echodu.

Ethics declarations

Ethics approval and consent to participate

This study was approved by Gulu University Ethical Review Committee. Formal approval to conduct the study was granted by the Uganda National Council for Science and Technology and the Office of the Ugandan president (SS4610). Community leaders in Oyam, Gulu, Pader, Lamwo, Kitgum and Agago districts provided written informed consent.

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Not applicable.

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The authors declare that they have no competing interests.

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Supplementary information

Additional file 1: Table S1.

Seasonal comparison of female Anopheles mosquito population distribution.

Additional file 2: Table S2.

Seasonal variation in Anopheles and their KDR distribution.

Additional file 3: Table S3.

Knockdown summary during 60 min exposure (KD60).

Additional file 4: Table S4.

Percentage mortality (24 h) of An. gambiae s.l. after 60-min exposure (KD60) to bendiocarb, permethrin, deltamethrin and malathion.

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Echodu, R., Iga, J., Oyet, W.S. et al. High insecticide resistances levels in Anopheles gambiaes s.l. in northern Uganda and its relevance for future malaria control. BMC Res Notes 13, 348 (2020). https://doi.org/10.1186/s13104-020-05193-0

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Keywords

  • Pyrethroid resistance
  • Malathion
  • Bendiocarb
  • Deltamethrin and permethrin
  • Uganda