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McDermott, D. P.

Publications and source records attributed to McDermott, D. P..

7 recordsLinked to original sources

The Two Tube Volatile Assay: a non-contact benchtop bioassay for monitoring susceptibility to transfluthrin

IntroductionProgress against malaria has stalled since 2015, with insecticide resistance a key driver. Spatial emanators release volatile insecticides into the air, exposing mosquitoes through a route distinct from the tarsal contact used by treated nets, indoor residual spraying, and standard bioassays. Transfluthrin is currently monitored using the WHO bottle bioassay, which combines contact and vapour exposure and cannot isolate airborne effects. A scalable, vapour-only method is needed to characterise susceptibility to volatile pyrethroids. MethodsWe adapted the WHO tube bioassay to deliver non-contact transfluthrin vapour exposure without contacting treated papers. Non-blood-fed female Anopheles were exposed to acetone control or transfluthrin papers at 0.005, 0.1 and 2 mg/paper. Knockdown was recorded over 60 minutes and mortality at 24 hours. Testing spanned three laboratories (LSTM, AIRID and KEMRI) using susceptible reference and resistant lab colonies. Dose response models estimated EC{square}{square} for knockdown (EC{square}{square}KD) and mortality (EC{square}{square}Mort), with resistance ratios (RR) against the local susceptible reference. ResultsThe assay generated clear concentration- and time-dependent responses. At LSTM, Kisumu gave an EC{square}{square}KD of 0.052 and EC{square}{square}Mort of 0.054 mg/paper; Siaya was comparable (RR{square}{square}KD 1.17, RR{square}{square}Mort 0.89), whereas Tiassale 13 and KDR showed reduced susceptibility (RR{square}{square}KD 2.42 and 2.85; RR{square}{square}Mort 5.56 and 6.65). At AIRID, the resistant Cove strain did not reach 50% knockdown or mortality. At KEMRI, Siaya showed reduced susceptibility (RR{square}{square}KD 3.36/RR{square}{square}Mort 5.65). Kisumu at AIRID and KEMRI was comparable to LSTM (EC{square}{square}KD 0.007/EC{square}{square}Mort 0.030; EC{square}{square}KD 0.044/EC{square}{square}Mort 0.023). Despite inter-laboratory variation, susceptible strains remained distinguishable from resistant ones. Lower RRs than for contact pyrethroids suggest contact-based phenotypes may not predict vapour susceptibility. ConclusionThe assay provides a practical benchtop method using standard WHO hardware, distinguishing susceptible from resistant strains across three laboratories. Twenty-four-hour mortality is the recommended endpoint, 60-minute knockdown secondary. Not yet validated, it provides a foundation for further validation and adaptation to other actives.

zoology↗

Signatures of selection and mechanisms of insecticide resistance in Ugandan Anopheles funestus: Insights from embedding translational genomics into the LLINEUP cluster randomised trial.

In response to the emerging threat of insecticide resistance in malaria vectors, insecticides are being repurposed for vector control or developed de novo. Good stewardship of these finite new resources is essential if disease control programmes are to remain effective. This is dependent on timely data to help guide evidence-based decision-making for National Malaria Control programmes (NMCPs). By embedding genomics into cluster randomized control trials (cRCTs), we can perform surveillance and early detection of insecticide resistance variants to new and repurposed chemicals in natural field conditions, supporting effective stewardship. The LLIN Evaluation Uganda Project (LLINEUP) trial evaluated the efficacy of pyrethroid-piperonyl butoxide (PBO) and pyrethroids-only long-lasting insecticidal nets (LLINs). It was conducted in Uganda between 2017-2020 and was the largest cRCT to date, covering 40% of the country in 104 health sub-districts. We embedded genomic surveillance within LLINEUP to detect and track insecticide resistance variants. At baseline and throughout the trial, we sampled Anopheles mosquitoes with Prokopack aspirators and performed Illumina whole-genome sequencing. We show that An. funestus populations were relatively unaffected by the interventions, compared to An. gambiae s.l., which were markedly reduced six months following LLIN deployment. Standard approaches for describing genetic diversity and population structure e.g. fixation index (FST), Principal Component Analysis (PCA) and Neighbour-Joining (NJ) trees, were consistent with the density observations and suggestive of a single large An. funestus population in Uganda with little genetic differentiation. Genome-wide selection scans revealed strong signals of selection at the Resistance to pyrethroid-1 (RP1) locus and Cyp9k1, both loci previously implicated in pyrethroid resistance. We report two additional loci, eye diacylglycerol kinase (Dgk) ({cong}13.5Mb on the X chromosome) and O-mannosyl-transferase (TMC-like) ({cong}67.9Mb on 3RL) that showed signals of selection. Known DDT and permethrin resistance-associated variants at the Gste2 locus, L119F and L119V, were also identified. Over the trial period, changes in haplotype frequencies were observed in regions under selection, with more pronounced shifts in the PBO arm. Notably, there were significant reductions in the frequencies of swept haplotypes (measured by delta ({Delta}) H12) in the Dgk and Cyp6p9a regions, while significant increases in haplotype frequency were observed at Gste2 and Cyp9k1 loci. Our findings reveal the differential impact of the trial on An. gambiae s.l. and An. funestus densities and the differing responses of An. funestus populations to pyrethroid and pyrethroid-PBO selection pressure. These insights underscore the potential value of tailored, species- and region-specific vector control strategies, supported by regional genetic surveillance, to better control insecticide resistance evolution and spread. By embedding genomic surveillance in cRCTs we can facilitate the discovery of putative resistance variants and can provide evidence of their impact on vector control tool efficacy; both of crucial importance to evidence-based deployment of vector control tools by NMCPs.

genomics↗

Genetic Surveillance Reveals Differential Evolutionary Dynamic of Anopheles gambiae Under Contrasting Insecticidal Tools used in Malaria control

Malaria, a febrile disease caused by the Plasmodium parasites and transmitted by mosquitoes, is a leading cause of mortality in children under 5 in endemic countries. The widespread deployment of insecticide-treated bed nets (ITNs) has significantly reduced malaria transmission, but rising levels of insecticide resistance threatens to halt the progress. Monitoring insecticide resistance is vital for effective vector control, particularly when deploying new tools. Understanding mosquito population responses to these interventions is crucial for guiding control programmes in making informed decisions about the selection, timing, and geographic deployment of tools. This genomic study investigates the demographic and evolutionary consequences on the malaria vector Anopheles gambiae of deploying standard ITNs (containing only pyrethroids) and pyrethroid-PBO nets (containing pyrethroids plus the synergist piperonyl butoxide) during a clinical trial in Uganda. Despite substantial reductions in indoor mosquito densities in the clinical trial, estimates of nucleotide diversity ({pi}) and linkage disequilibrium revealed no significant decline in effective population size, reflecting continued large population size even after effective control. Marked allele frequency shifts at resistance-associated loci indicated strong selection pressures driven by the interventions, with distinct selective dynamics between the two net types, highlighting alternative pyrethroid detoxification pathways in the presence of PBO. A duplication in the Cyp9k1 gene significantly increased in frequency in populations exposed to pyrethroid-only nets but decreased in populations exposed to PBO-treated nets, suggesting that selection for over-expression of this gene is removed when this resistance mechanism is impacted by PBO. An alternative potential detoxification mechanism was selected within a region of the 2La chromosomal inversion on chromosome 2L, which encompasses the UDP-glucose 6-dehydrogenase gene. This variant consistently increased in frequency when exposed to PBO-treated nets. Additionally, pyrethroid-only nets selected for a novel locus on the X chromosome containing the diacylglycerol kinase gene, which is potentially linked to behavioural adaptations through its role in neurotransmission modulation. Our findings underscore the importance of genomic surveillance in vector control, revealing distinct evolutionary dynamics of insecticide resistance mechanisms in the presence of PBO. While ITNs remain effective, the persistence and evolution of resistance-associated alleles highlight the need for adaptive and dynamic resistance management strategies. By integrating high-resolution genomic data with epidemiological and entomological monitoring, this study offers actionable insights to sustain malaria control efforts amid the ongoing challenge of insecticide resistance.

genomics↗

Influence of mould growth and outdoor exposure on the efficacy of attractive targeted sugar baits in western kenya.

IntroductionAttractive targeted sugar baits (ATSBs) are effective against Anopheles mosquitoes in semiarid climates with low humidity. High humidity, however, promotes growth of moulds on the surface of ATSBs. The impact of mould on ATSB efficacy against malaria vectors remains unknown. This study explored how mould growth affects the performance of ATSB version 1.2 by comparing mouldy stations from exposed environments to non-mouldy stations from protected settings through laboratory bioassays with the local malaria vector, Anopheles arabiensis. MethodsOne hundred ATSB stations were deployed in Asembo, Rarieda-Subcounty, Siaya County, with six samples (three mouldy from exposed locations and three non-mouldy from protected locations) collected monthly for laboratory bioassays. These were tested alongside three new laboratory-kept ATSBs and two negative controls (water only and 77% sugar solution with water) to assess mosquito feeding and mortality over 48 hours. ResultsThis study found that after 12 months of outdoor exposure, the mouldiest ATSBs from exposed locations showed a non-significant reduction in Anopheles arabiensis feeding rates compared to the least mouldy ATSBs from protected locations 57.42% (95% CI: 45.64-68.85) vs. 74.40% (95% CI: 64.56-82.50), respectively (P =0.062). Mosquito mortality significantly declined on mouldy ATSBs compared to laboratory controls (95% CI: 92.23-97.48) vs. 98.70% (95% CI: 97.87-99.30) respectively (P = 0.002). In contrast, protected (non-mouldy) ATSBs showed only a slight reduction in mortality compared to controls 95.94% (95% CI: 90.42-97.46) vs. 98.91% (95% CI: 97.67-99.60) respectively (P = 0.009). ConclusionThis study provides evidence that environmental exposure post-deployment slightly reduced the efficacy of ATSBs in controlling Anopheles arabiensis, particularly beyond the recommended 6-month period. Although mould may have contributed to this reduction over 12 months, no significant difference was found between mouldy and non-mouldy ATSBs. However, mould invasion and community concerns highlight the need to replace mouldy stations to maintain effectiveness and safety.

zoology↗

Mechanisms of transcriptional regulation in Anopheles gambiae revealed by allele specific expression

Malaria control relies on insecticides targeting the mosquito vector, but this is increasingly compromised by insecticide resistance, which can be achieved by elevated expression of detoxifying enzymes that metabolize the insecticide. In diploid organisms, gene expression is regulated both in cis, by regulatory sequences on the same chromosome, and by trans acting factors, affecting both alleles equally. Differing levels of transcription can be caused by mutations in cis-regulatory modules (CRM), but few of these have been identified in mosquitoes. We crossed bendiocarb resistant and susceptible Anopheles gambiae strains to identify cis-regulated genes that might be responsible for the resistant phenotype using RNAseq, and cis-regulatory module sequences controlling gene expression in insecticide resistance relevant tissues were predicted using machine learning. We found 115 genes showing allele specific expression in hybrids of insecticide susceptible and resistant strains, suggesting cis regulation is an important mechanism of gene expression regulation in Anopheles gambiae. The genes showing allele specific expression included a higher proportion of Anopheles specific genes on average younger than genes those with balanced allelic expression. Author SummaryThe evolution of insecticide resistance, including resistance that is due to changes in the expression levels of certain resistance associated genes is threatening progress in malaria control. We investigated how the expression of genes in the malaria vector Anopheles gambiae is controlled, by implementing a method for the first time in this species. Each mosquito inherits a set of chromosomes from both parents, so has a maternal and paternal copy of most genes. When a gene is expressed, the DNA encoding that gene is transcribed into messenger RNA. This process is controlled by the cellular environment and by other DNA sequences on the same chromosome as each gene. We crossed mosquitoes from insecticide resistant and susceptible strains to equalize the cellular environment and then measured the levels of messenger RNA from both gene copies. 115 genes showed consistently different messenger RNA levels between gene copies in most crosses, suggesting these genes are regulated by factors on the same chromosome. There were relatively more Anopheles specific genes with imbalanced expression. Using machine learning we identified DNA sequences that may be responsible for controlling gene expression in mosquito tissues; several of these sequences were close to genes with imbalanced expression.

genetics↗

Spatially explicit sampling frameworks to identify regions of increased mosquito abundance

Vector control interventions often lack comprehensive information on vector population distribution and dynamics. This knowledge gap poses challenges in targeting interventions effectively, especially in areas with heterogeneous transmission and where complementary vector control tools may be required to achieve sustained impact on disease transmission. In this study, we implemented a spatially explicit sampling framework for improved vector surveillance in coastal Kenya. Our stratified lattice with close pair sampling design aimed to characterise the vector dynamics of the primary malaria-transmitting species in the area and assess the ecotype classifications effectiveness at identifying clear population patterns. The study collected 3,621 mosquitoes, with An. funestus s.l. being the most abundant malaria vector. The inclusion of the ecotype classification significantly improved spatial abundance model estimates for An. gambiae and Culex spp. Wetlands, topographic wetness index, and proximity to rivers were associated with increased mosquito abundance. Spatial modelling revealed high abundance regions near the Galana-Sabaki River. Our study demonstrates the applicability of a reproducible spatial sampling approach to identify areas with high vector abundance and inform targeted vector control strategies. The study highlights the importance of ecological stratification and a spatial explicit sampling approach for predicting mosquito presence when prior data is limited and underscores the potential for refining future sampling for control efforts.

ecology↗

The human-baited host decoy trap (HDT) is an efficient sampling device for exophagic malaria mosquitoes within irrigated lands in southern Malawi

Irrigation schemes provide an ideal habitat for Anopheles mosquitoes particularly during the dry season. Reliable estimates of outdoor host-seeking behaviour are needed to assess the impact of vector control options and this is particularly the case for Anopheles arabiensis which displays a wide range of behaviours that circumvent traditional indoor-insecticide based control. In this study we compared the Host Decoy Trap (HDT) with the Human Landing Catch (HLC) and Suna trap in a repeated Latin square design in two villages on an irrigated sugar estate in southern Malawi. Over the course of 18 trapping nights we caught 379 female Anopheles, the majority of which were identified as An. arabiensis. Overall, the HDT and HLC caught a similar number of Anopheles per night with both methods catching significantly higher densities than the Suna trap across both villages. Regardless of the density of Anopheles mosquitoes in each village the HLC and HDT demonstrated broadly similar sampling efficacy. We conclude that the HDT is an effective sampling device for outdoor host seeking An. arabiensis in southern Malawi. The presence of An. arabiensis in irrigated lands during the dry season poses a challenge for ongoing indoor vector control efforts.

ecology↗