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Reversing insecticide resistance with allelic-drive in Drosophila melanogaster


A recurring target-site mutation identified in various pests and disease vectors alters the voltage gated sodium channel (vgsc) gene (often referred to as knockdown resistance or kdr) to confer resistance to commonly used insecticides, pyrethroids and DDT. The ubiquity of kdr mutations poses a major global threat to the continued use of insecticides as a means for vector control. In this study, we generate common kdr mutations in isogenic laboratory Drosophila strains using CRISPR/Cas9 editing. We identify differential sensitivities to permethrin and DDT versus deltamethrin among these mutants as well as contrasting physiological consequences of two different kdr mutations. Importantly, we apply a CRISPR-based allelic-drive to replace a resistant kdr mutation with a susceptible wild-type counterpart in population cages. This successful proof-of-principle opens-up numerous possibilities including targeted reversion of insecticide-resistant populations to a native susceptible state or replacement of malaria transmitting mosquitoes with those bearing naturally occurring parasite resistant alleles.


Insect-borne diseases represent a major public health concern, killing over 700,000 people annually, with children being the most vulnerable1. Primary efforts in limiting the spread of these diseases focus on controlling mosquito vector populations. Common vector control practices include indoor residual spraying with pyrethroids, or a few other insecticides recommended by the WHO and use of long-lasting insecticide-treated mosquito nets (LLINs), all of which incorporate a pyrethroid. Altogether, only a handful of insecticides are currently approved for use. The prolonged and repeated deployment of such a limited number of insecticides has resulted in selection for insecticide resistant (IR) insect populations, undermining ongoing global vector control efforts1. Mutations in insecticide-target genes are among the most common contributors to IR in numerous insect species including mosquitoes.

One solution to the growing problem of IR is to develop new insecticides, which is a focus of intensive and costly ongoing efforts2,3. A complementary approach is to piggyback on newly developed gene-drive technologies designed to disseminate gene cassettes through insect populations that either reduce the number of individuals (suppression drives) or modify populations so that they no longer present a threat to public health (e.g., by expressing anti-malarial effectors preventing pathogen transmission by anopheline mosquitoes)4. In this current study, we employ the powerful genetic tools available in the fruit fly Drosophila melanogaster to provide proof-of-principle for allelic-drive wherein we endow a gene-drive element with an additional functionality to bias inheritance of a preferred allelic variant (the wild-type insecticide susceptible vgsc allele) over a IR allele prevalent in many insects (L1014F).


Generation of knock-down resistance alleles of the voltage-gated sodium ion channel in Drosophila

Pyrethroids and DDT bind to the voltage-gated sodium channels (VGSCs) triggering abnormal channel activity but are unable to bind or disrupt function of Knockdown-resistant (Kdr) mutant channels. The most widespread kdr alleles in Anophelines include L1014F, whereas I1011M/V are prevalent in Aedes aegypti5. While attempts have been made to evaluate the effect of these mutations in field isolates, their direct impact on insect fitness and physiology has been challenging to assess due to genetic heterogeneity of wild insect populations6,7,8,9. As the protein sequences of VGSCs are highly conserved across insect orders10, with nearly 100% identity at the insecticide-binding site (Supplementary Fig. 1), we analyzed the effects of prevalent kdr field variants on insecticide susceptibility and fitness in the genetic model Drosophila melanogaster. As a first step toward this goal, we generated fly lines carrying mutations equivalent to L1014F, I1011M and I1011V alleles in the Drosophila vgsc gene ortholog paralytic (para) using CRISPR-Cas9-mediated gene editing (Fig. 1A).

Fig. 1: kdr mutations paraL1014F and paraI1011M confer insecticide resistance in Drosophila melanogaster.
figure 1

A Generation of kdr mutations. First, a GFP transgene was inserted at the L1014 site using Cas9-mediated editing. Next, the GFP insertion was deleted with a pair of gRNAs cleaving adjacent sequences and replaced with a donor template containing one of the desired mutations (L1014F, I1011M or I1011V). Successful transformants were screened as GFP negative and later confirmed by genotyping. B DDT resistance: Flies (total number of flies n = 200; number of independent replicates N = 8) were exposed to different concentrations of DDT. Survival, a proxy for DDT resistance, was determined 24 h post exposure. At the reference dose of 50 ppm DTT, the mean resistance values ± s.e.m were: WT = 8.4 ± 4.3; L1014F = 100 ± 0; I1011M = 65.6 ± 6.15; I1011V = 8.75 ± 3.6. C Survival plot for paraWT (Median lifespan = 52), paraL1014F (Median lifespan = 33), paraI1011M (Median lifespan = 33), paraI1011V (Median lifespan = 32) males in absence of any insecticide. All three mutants displayed shortened lifespans compared to the control. Data were analyzed using the Log-rank test for trend and the Mantel-Cox test. D Comparison of embryonic survival. No significant differences in hatching rate were observed among WT, paraL1014F and paraI1011M genotypes. N = 4; n = 400. E paraL1014F are resistant to oxidative stress. paraL1014F flies had significantly higher survival rates at 48 h compared to WT or to paraI1011M mutants. N = 5; n = 125. F paraL1014F are paralytic at high temperature. Male flies were exposed to 37 °C for 4 h and their ability to climb above 5 cm was recorded. N = 4; n = 100. G, H para mutants manifested abnormal sleep patterns in both females and males. Significant day-time sleep latency for paraI1011M mutants is indicated by the arrowhead. Control = Black; para1014F = Orange; para1011M = Blue; para1011V = purple. N: independent biological replicates, n: number of animals tested; Means ± s.e.m are plotted; B two-way ANOVA with Sidak’s multiple comparison, D, E, F one-way ANOVA with Sidak’s multiple comparison. *p < 0.033, **p < 0.0021, ***p < 0.0002, ****p < 0.0001, and ns not significant.

Since the L1014F, I1011M and I1011V kdr mutations have not been reported in IR Drosophila field isolates, we first tested whether they conferred resistance to DDT and pyrethroids (permethrin and deltamethrin). The three mutants exhibited differential insecticide resistance profiles: paraL1014F flies were highly resistant to DDT (Fig. 1B), moderately resistant to permethrin (Supplementary Fig. 2A), but were susceptible to deltamethrin (Supplementary Fig. 2B). In contrast, paraI1011M flies displayed moderate resistance to DDT and permethrin (Fig. 1B, Supplementary Fig. 2A), while paraI1011V mutants remained susceptible to all three insecticides even at low concentrations (Fig. 1B, Supplementary Fig. 2A, Supplementary Fig. 2B). Recent molecular modeling studies of the Na+ ion channel domain of the VGSC and the conformational consequences of prevalent kdr mutations (L1014F, L1014H and L1014S) indicate that substitution of different amino acids even at the same position can have different impacts on DDT binding11. Similar alternative conformational effects may explain the observed differential resistance profiles for the paraL1014F, paraI1011M, and paraI1011V alleles we observed.

Different kdr alleles are associated with distinct fitness costs

We reasoned that the absence of paraL1014F and paraI1011M mutations in wild Drosophila populations could be due to associated fitness costs. We tested this hypothesis by measuring the effect of these mutations on various fitness parameters. In the absence of insecticide exposure, both paraL1014F and paraI1011M significantly reduced lifespan in males (Fig. 1C), but had no detectable impact on embryonic viability (Fig. 1D). Because strain-specific sensitivities to DDT can alter oxidative stress responses in flies12, we tested whether paraL1014F or paraI1011M mutations impacted resistance to oxidative stress induced by the herbicide paraquat13,14. In these experiments, paraL1014F mutants exhibited significantly elevated resistance to paraquat compared to WT flies, while paraI1011M mutants remained susceptible (Fig. 1E), revealing again distinct functional outcomes of these vgsc mutations. Previous observations also linked mutations in para with temperature sensitivity, wherein mutant flies display paralysis at higher temperatures due to altered neuronal activity15. Furthermore, a subset of these temperature-sensitive mutants also exhibited resistance to insecticides16. Given the ubiquity of the IR L1014F allele in other insects, we hypothesized that temperature sensitivity may contribute to the absence of this particular kdr mutation in wild Drosophila populations, despite the robust resistance it confers to DDT (Fig. 1B) and permethrin (Supplementary Fig. 2A) exposure. Indeed, paraL1014F mutants displayed paralysis at higher temperature, while paraI1011M male mutants were surprisingly more resistant than wild-type (Fig. 1F).

In humans, mutations in VGSC are linked to altered sleep and seizure disorders17. Fly models for these disease-causing mutations also manifest significant sleep defects, altered neuronal activity, and neurodegeneration18,19,20. As for the phenotypes discussed above, differential effects on sleep profiles were observed for the various IR alleles we generated. While paraL1014F mutants followed normal daytime sleep patterns (cumulative and temporal profiles), their night-time sleep was significantly elevated. In contrast, paraI1011M mutants displayed delayed day-time sleep and elevated night-time sleep (Fig. 1G, H, Supplementary Fig. 3). These distinct physiological phenotypes of the two IR resistant mutations may arise from their differential impact on channel activity21 and consequent neuronal functions. Further studies will be required to ascertain the mechanistic basis for these alternative behavioral profiles.

Development of an allelic drive system to replace the kdr 1014 F allele

We recently developed an efficient CRISPR-based allelic-drive strategy in Drosophila22 and here, we adapt this system to revert an IR mutation back to the insecticide-susceptible wild-type allele. Because the widespread paraL1014F allele conferred the greatest resistance to DDT and permethrin, we focused on this mutation for allelic correction. In these experiments, we designed a guide RNA (gRNA-F, Fig. 2B) carried on a gene-drive cassette (y<CC|pF|>) that selectively targets the paraL1014F allele for cleavage, leading to its repair from the uncleavable wild-type paraL1014 (=paraWT) allele. We placed gRNA-F under control of the ubiquitously active U6 promoter in the y<CC|pF|> transgenic drive element, which also expresses an additional gRNA (gRNA-y) that targets the insertion site of the y<CC|pF|> element for cleavage within the yellow (y) locus to promote self-copying and super-Mendelian inheritance of that element (Fig. 2A). We followed inheritance of the y<CC|pF|> element by the DsRed fluorescent protein marker, expressed in eyes under the control of the 3XP3 promoter.

Fig. 2: Conversion of the insecticide resistant paraL1014F allele to paraWT.
figure 2

A y<CC|pF|> allelic-drive element carrying a DsRed marker and two gRNAs: (1) gRNA-y (brown), which sustains copying of the drive element; and (2) gRNA-F (orange), which targets the insecticide resistant, gRNA-sensitive paraL1014F allele (scissors icon) to drive super-Mendelian inheritance of the insecticide-susceptible, uncleavable paraWT allele (lock icon) when Cas9 is provided in trans. In addition, a mini-white marker (w+mc, red triangle), about 0.5 cM from paraL1014 is used to track the donor chromosome carrying the paraWT allele. B gRNA sequence targeting paraL1014F and its cut-sensitive TTC codon (coding for phenylalanine = F), and the uncleavable CTT paraWT allele (coding for Leucine = L, marked in red). The cut site is indicated with an arrowhead. C Crossing-scheme used to generate F1 “master females”. The yellow shaded X donor chromosome carries the DsRed-marked drive element (y<CC|pF|>) and the paraWT allele (labeled L) associated with a white+ insertion (+w+mc), which dominantly confers red eye color in the white mutant background. The receiver white X chromosome, which carries the cut-sensitive paraL1014F allele, but lacks the w+mc insertion (−w+mc in C), is followed through the white eye color phenotype. A GFP-marked transgene expressing Cas9 (vasaCas9) on the third chromosome is depicted in green and wild-type (+) chromosomes in light gray. Red and orange arrowheads indicate copying of the drive element and the paraWT allele, respectively. D Percent transmission of the drive in the presence (DR, green circles) or absence (gray circles) of Cas9 in females and males. Values indicate mean (±s.e.m) percent transmission for each genotype. Data analyzed using one-way ANOVA followed by Sidak’s multiple comparison tests. Chi-square test for DsRed proportions was also performed in presence and absence of Cas9. p < 0.0001 was seen in both females and males. E Percent survival to 50 ppm DDT in male receiver populations in the presence (green circles) or absence (gray circles) of Cas9. F Percentage conversion at 1014 F locus for receiver chromosomes (selected for w eye phenotype) was determined based on the proportion of individual F2 male progeny that carried one or the other allele by sequencing of PCR amplified DNA. These F2 males were collected from F1 master females (y<CC|pF|> drive, w+mc, paraWT/paraL1014F; Cas9/+ ♀ X w ♂). E, F Means ± s.e.m are plotted. Data were analyzed by Mann–Whitney test. *p < 0.033, **p < 0.0021, ***p < 0.0002, ****p < 0.0001, ns not significant.

We first assessed performance of the y<CC|pF|> allelic-drive element ±Cas9 in two-generation test crosses (Fig. 2C). We chose a mini-white insertion tightly linked (~0.5 cM) with the uncleavable paraWT donor allele to distinguish it from the cut-sensitive paraL1014F receiver allele. F2 progeny inheriting the white (w) “receiver” chromosome (hereafter referred as F2 w receiver progeny) were either unmodified (paraL1014F) or converted (paraWT) (Fig. 2A, C).

We assayed super-Mendelian transmission of both the y<CC|pF|> gene cassette and allelic-drive of the paraWT allele. As per the cross-scheme depicted in Fig. 2C, a Cas9 expressing transgene (vasa-Cas9) was provided from an unlinked third chromosomal source. Introduction of Cas9 led to a substantial increase of y<CC|pF|> (DsRed+) transmission in F2 progeny, compared to F2 progeny from control (-Cas9) crosses, (46.8% to 85.1% in females and 39.9% to 84.5% in males, Fig. 2D), confirming that the drive element copies with similar efficiency to other drives inserted at this same site22,23,24,25. The fraction of F2 w receiver progeny, however, was not altered significantly in presence of the Cas9 source (~50% for both control and drive) (Supplementary Fig. 4), indicating that DNA cleavage directed by gRNA-F did not result in frequent production of lethal mutations. Next, we tested F2 w adult receiver progeny for insecticide resistance. Such receiver progeny derived from y<CC|pF|>; Cas9 bearing mothers displayed a significantly lower percent survival in presence of DDT (39.9% in males, 62% in females) compared to F2 w receiver flies from control crosses (75.5% in males, Fig. 2E, 85.18% in females, Supplementary Fig. 5B). These results demonstrate biased inheritance of the uncleavable paraWT allele mediated by cleavage and conversion of the IR paraL1014F allele to paraWT allele. Cas9-dependent conversion from F- > L at the 1014 site was confirmed by genotyping individual F2 males. Among F2 w receiver males from y<CC|pF|> control mothers, the proportion of L1014 wild-type allele was very low (2.7%), consistent with the low recombination rate expected from the close association (~60 kb) between the para locus and the w+mc insertion. In contrast, F2 w receiver males derived from y<CC|pF|>; Cas9 mothers exhibited a >10-fold increase (29.0%) in the proportion of the uncleavable, wild-type L1014 allele (Fig. 2F, Supplementary Fig. 5D). A similar trend was observed in F2 w receiver females, where we observed a modest but significant decrease in the percentage of the 1014F allele (Supplementary Fig. 5A, C). However, because females have two X chromosomes, it was difficult to assess the precise conversion frequencies, which are more accurately determined in males. Cumulatively, these results demonstrate a ~30% frequency of allelic conversion from 1014F to L1014, resulting from Cas9-dependent allelic-drive induced by the y<CC|pF|> drive element.

The kdr 1014 F allelic-drive reverses insecticide resistance in population cages

Given the efficient super-Mendelian inheritance of both the y<CC|pF|> drive element and paraWT allele in two-generation test crosses, we next examined their performance over multiple generations in population cages. We seeded three replicate cages with equal numbers of males and females. Half of the females (25% of total flies) were heterozygous for the y<CC|pF|> allelic-drive, Cas9, and L1014 paraWT allele (comprising 16.7% of all para alleles) and the other half of the females (25% of total flies) as well as all males (50% of total flies) carried the IR 1014 F allele. One half of the F1 progeny were monitored for DsRed and DDT resistance phenotypes as well as for genotypes (L1014 versus 1014F sequences) at each generation, while the other half of that population was used to seed the next generation (without sorting for gender).

Cage experiments were conducted in y w genetic backgrounds to preclude known mating and fitness advantages associated with wild-type y+ and w+ alleles26,27. Drive cages included the y<CC|pF|> element on the X and vasaCas9-GFP on the 3rd chromosome, while control cages lacked the Cas9 source (Fig. 3A). This scheme permitted assessment of the relative fitness costs associated with different alleles (for example the y<CC|pF|> element versus a y point mutation, or the para1014L versus para1014F alleles) in the presence or absence of Cas9, as well as evaluating Cas9-dependent drive performance. The fitness costs calculated from the control (–Cas9) cages were used for predictive modeling of population dynamics for the y<CC|pF|> drive (Fig. 3B, Supplementary Fig. 6C) and 1014F allele (Fig. 3D, Supplementary Fig. 6D) and were found to be consistent with two of the three observed cage replicates. The initial divergence of one cage from the others, and hence the averaging model, could stem from variation in certain fitness costs or reflect statistical variation due to sampling, however, this discrepancy disappeared by generation 10. Thus, the y<CC|pF|> element achieved ~80% introduction (final frequency) in all +Cas9 drive cages while increasing only modestly in control (−Cas9) cages (Fig. 3C). In such experiments, generation of uncleavable mutations by non-homologous end joining (NHEJ) events at the yellow locus may limit the spread of the y<CC|pF|> element as previously reported22,23,24. The frequency of the unlinked Cas9 (GFP+) source remained stable over 10 generations suggesting that the vasaCas9 transgene did not impose a detectable fitness cost, even when associated with the drive element (Supplementary Fig. 6A), a phenomenon that has been observed in other contexts28,29. The total population size and sex ratio also remained stable for both the drive and control cages throughout the experiments, suggesting that no significant fitness-induced distortions were operative (Supplementary Fig. 6B).

Fig. 3: Dynamics of 1014 F conversion over 10 generations in caged populations.
figure 3

A Virgin ‘master females’ carrying the y<CC|pF|> allelic-drive (DR) and Cas9 were seeded among receiver paraL1014F flies at a ratio of 25%:75% (n = 100; N = 3). B Model-predicted dynamics of the y<CC|pF|> drive element. Mathematical simulations were run using fitted drive parameters and estimated fitness costs. 50 stochastic predictions are plotted in thin lines and their mean in thick lines. Experimental data from 3 independent replicates was overlayed as dotted lines. C Resistance to 50 ppm DDT was tested separately for generations 9–12 (Fig. S6E, F) and averaged. Percent resistance to DDT exposure (assayed by survival) in the presence (drive) or absence (control) of Cas9 combined for all 4 generations is plotted and analyzed using one-way ANOVA followed by Sidak’s multiple comparison tests. D Dynamics of 1014F allelic frequency was modeled separately from the y<CC|pF|> element. The model predicted a decrease in 1014F levels for both control and drive populations with faster decline in presence of Cas9. E, F The proportion of the 1014F allele was measured by deep sequencing of females and males at generation 1, 5 and 9. The percentage of 1014F alleles in the presence (green dots) or absence (gray dots) of Cas9 was plotted and analyzed using multiple unpaired t tests. Data plotted as mean ± s.e.m. *p < 0.033, **p < 0.0021, ***p < 0.0002, ****p < 0.0001, ns not significant.

Regarding the primary objective of these experiments, we also evaluated the DDT resistance status of drive (+Cas9) and control (−Cas9) cage populations over time. Based on prior studies in which equilibrium final frequencies between split-drive cassettes and NHEJ alleles were attained by generations 8/928, we tested generations 9–12 for DDT resistance. We observed a dramatic reversal of DDT resistance from the initial introduced percentage of 83.3% to 15.2 % in males of the drive containing cages (+Cas9) and a more modest, but significant, reduction in females (32%). Control (−Cas9) cages displayed less dramatic reductions in IR (43.3% for males; 55.9% for females), which presumably reflects negative selection based on the fitness costs associated with the 1014F allele (Fig. 3C, Supplementary Fig. 6E, Supplementary Fig. 6F, Supplementary Table 5, Supplementary Table 6). This IR reversal was further confirmed by sequence analysis of males and females from drive and control populations at the 1014 site at three sampled generations (generations 1, 5, and 9). At generation 5, we observed modest parallel decrements in 1014F allele in both +Cas9 drive and −Cas9 controls. However, by generation 9, the frequency of the 1014F allele was greatly reduced in both male and female drive populations. Among males, 1014F representation had dropped precipitously to 13.4% in the drive cages, while decreasing only to 49.3% in controls (Fig. 3F). Similarly, among females, the 1014F frequencies fell to 17.5% in the drive populations compared to 48.3% in control populations (Fig. 3E, Supplementary Fig. 7). Although IR allelic frequencies were not significantly different between drive males and females (i.e., 13.4% versus 17.5%, respectively), we observed a notable difference in their percent survival when exposed to 50 ppm DDT (15.2% versus 32.54%, respectively - Fig. 3C). This greater residual survival observed in females most likely reflects the presence of paraWT/paraL1014F heterozygotes, which display intermediate IR levels (Supplementary Fig. 8). Additionally, physiological differences between males and females may contribute to their differential resistance to DDT30.

In these experiments, recovery of NHEJ events at the para 1014 site was exceedingly rare (Fig. S5A, D). One possible explanation is that most NHEJ mutations that may have been created at the conserved gRNA target site are likely to be non-functional, resulting in lethal mosaicism in females22, and lethality in males. However, as mentioned above, we did not find a significantly biased reduction in the proportion of F2 w receiver progeny (Supplementary Fig. 4), suggesting that such mutant lethal alleles are not likely to be created at an appreciable rate. Our results from cage trial experiments show that 90% introgression of the L1014 wild-type allele is achieved at generation 9, which is delayed compared to the rapid spread of the drive element (~90% introgression at generation 3). This kinetic difference suggests that cleavage induced by gRNA-F may be less efficient than for gRNA-y, as inferred by estimates from model fitting (Supplementary Tables 5 and 6). However, because gRNA-F generates few NHEJ alleles, its modest, but clean, cleavage profile supports a delayed but eventually superior drive outcome. Another factor likely to contribute to the extensive reversal in IR obtained in these drive experiments is the synergistic action of two independent selective processes24 wherein the allelic drive promoting Super-Mendelian inheritance of the L1014 allele (e.g., mean copying efficiency to receiver chromosomes = 0.29) acts in combination with the greater relative fitness of the wild-type L1014 versus 1014F allele (e.g., median fitness cost of 1014F allele in males = 0.28) (Fig. 1C–F, Supplementary Tables 5 and 6), a feature also likely to be relevant in field contexts5,7,9,31,32,33,34. We note that this synergy between the independently acting gene-drive and positive selection for the 1014 allele in the driving configuration (+Cas9) also may be reflected by the reduced variance in allelic frequencies between cages observed in generation 9 (Fig. 3F, most obvious in males) compared to the action of positive selection alone (−Cas9), a phenomenon we have observed in other studies24. Presumably, the likelihood of 1014 L allele inheritance is increased as a result of these two cooperative processes.


We (this study) and others35 have exploited the powerful genetic tools available in Drosophila to establish models for prevalent insecticide-resistance mutations in VGSC. Here, we report differential physiological effects and responses to stresses for three different kdr mutations, and most importantly, provide the first proof-of principle for allelic-drive mediated reversal of IR conferred by para1014F to the native paraL1014 insecticide susceptible state, in the absence of insecticides. In more real-world conditions applied to disease vectors such as mosquitoes transmitting malarial parasites or crop pests, one anticipates uninterrupted insecticide use. In such situations where local control of insecticide use is possible (e.g., farmers treating their own fields) alternating between two different categories of insecticides impinging on separate targets (e.g., pyrethroids versus organophosphates or carbamates targeting Acetylcholinesterase), coupled with allelic-drive reducing IR to the fallowed insecticide, could provide a sustainable approach to achieving local reductions in IR frequency. Another synergistic strategy would be to neutralize mechanisms of metabolic resistance. Metabolic IR targets (often P450-related genes) are more challenging targets as they are less readily identified than target site mutations and comprise a complex set of potential mechanisms including gene duplications, transposon insertions, other types of chromosomal rearrangements, and alterations of cis-regulatory sequences36,37,38,39. Nonetheless, if identified as individually contributing to overall IR phenotypes, any one of these alterations could be reversed either by targeting specific duplicated alleles for mutagenesis, small regions could be deleted by the copy-grafting form of allelic drive in which a cleavage resistant cut site is associated nearby a favored allelic variant, or two gRNAs could be used to delete and replace larger genome segments including cis-regulatory regions40 or gene-cassettes24. Such genetic strategies could be integrated with traditional measures and regular monitoring of new IR alleles emergence for an efficient multipronged vector control approach.

Allelic-drive systems such as those discussed above could also be combined with gene drives designed to modify insect populations. For example, drive systems have been developed in mosquitoes41,42 and fruit flies28,29 that are capable of efficiently disseminating cargo (e.g., anti-malarial effector genes in mosquitoes) in laboratory populations. Such autosomal drives are indeed likely to be yet more effective than the X-linked drive element employed in this proof-of-concept study since they can copy in the germlines of both males and females. For example, gRNAs targeting IR alleles could be added to such drive systems in anopheline mosquitoes resulting in dual population modification to reduce parasite transmission while maintaining efficacy of standard vector control measures. It may also be possible to conduct genetic screens to identify target site variants conferring greater than wild-type susceptibility to an insecticide. Introducing such hyper-sensitive alleles through allelic drives could ultimately allow reduction of insecticide applications required to manage local insect populations. Importantly, genetic methods to reduce the prevalence of IR and to combat vector-borne diseases need to be considered as a new tool to be integrated into existing vector control protocols including use of LLINs, indoor residual spraying, anti-parasite medicines, and sanitation measures. Reducing the incidence of IR via allelic-drive offers potential for synergism with the first two insecticide-dependent measures, which have been credited as the primary factor in reducing malarial burdens over the past two decades2,43,44,45,46.

Multiple models and studies have established significant decrements in LLINs efficacy due to increasing insecticide resistance. These models also indicate that efficacy of current vector control methods47,48 could be preserved if the prevalence of IR was maintained below 30%, which we surpassed (<15% IR) in cage experiments of lab populations. However, the variability in natural populations could impact the efficacy of the drive if a common variant target site allele were present in the target population. Although such insecticide target site allelic variants at the gRNA cut site are not expected to be common given the highly conserved nature of this coding region of the vgsc gene and the small number of recent independent emergence of such alleles49,50, there are two possible approaches to mitigating such a problem should it arise. First, one could create two different allelic drives with gRNAs targeting the two most frequent allelic 1014 F variants and release them together or sequentially into the target population to achieve the required level of allelic correction. Second, the alternative allelic drive strategy of copy-grafting22 could be employed in which one associates a highly conserved cleavage resistant site close to the preferred L1014 insecticide susceptible allele. Such engineering might permit replacement of any kdr sequence variants located in the proximity (within ~25 bp) to such a unique engineered site.

Cluster-randomized clinical trials of LLINs confirm the epidemiological benefits of augmenting performance of pyrethroids in bednets51,52,53,54. In combination with transient inherently self-limiting drives or other systems in which the drives and Cas9 transgenes are inserted into essential loci23,28,29, it should be possible to increase the prevalence of naturally occurring alleles facilitating vector control efforts (e.g., wild-type insecticide susceptible vgsc alleles or natural variants of the mosquito FREP1 gut protein conferring resistance to malarial parasites55,56,57) without leaving any vestige of the transgenic machinery. We conclude that this flexible new platform will enable study and control of IR mutations ultimately to allow limited and more efficient use of insecticides for effective vector control efforts.


Fly strains

vasaCas9-GFP (BL# 79006), y[1] w[67c23] P{y[+mDint2]w[+mC]= P{EPgy2}CG9902[EY05861], and (BL# 15811) strains were procured from Bloomington Drosophila Stock Centre (BDSC). Other lines used in the study were generated in-house.

Generation of insecticide resistance mutant flies

The IR flies were generated at the para genomic locus using two steps of CRISPR-Cas9 mutagenesis. In the first step, a double stranded break was inserted at L1014 locus using gL1014 (ttcgtattcttcatcatatt). Using homology arms for vgsc, 3XP3 > GFP was inserted at the cut site. Transformants were selected as presence of GFP fluorescence in the eye. In the second step, GFP was deleted using two gRNAs (g1: ttcgtattcttcatcatatt, g2: Gtagatgttcgtttcacgaat) and replaced using homologous template containing desired mutations (L1014F/I1011M/I1011V). The transformants were screened with loss of GFP and sequenced for presence of the mutation (Fig. 1A). The males with unsuccessful homology-based repair did not survive as para is an X-linked essential gene. This male lethality was used as additional criteria for screening.

Construction of y <CC|pF|> element and transgenic flies

The allelic drive element y<CC|pF|> was constructed from the y<CC|N|> element described in Guichard et al, which contains two gRNAs, one targeting yellow for self-propagation (gRNA-y) and one targeting the Notch locus (gRNA-N) for allelic drive, plus the DsRed fluorescent marker expressed under the control of the eye-specific 3xP3 promoter. gRNA-N was replaced with gRNA-F, which targets the IR L1014F allele of para (gRNA-F: gcgttgtcatcggcaatttcg). DNA encoding gRNA-F plus two homology arms matching sequences directly flanking gRNA-N (20 nt on each side) was synthesized by IDT (gBlocks). Replacement of the gRNA sequence was obtained through Gibson assembly using the NEB kit #E5510S. The full sequence of the assembled plasmid was verified and is provided in Supplementary Note 2. The y<CC|pF|> construct was then injected in w stock by Rainbow transgenics. Positive y<CC|pF|> transformants were screened first through DsRed fluorescence in the eyes, followed by sequencing of the inserted cassette after PCR amplification of genomic sequences.

Insecticide resistance assays

Different concentrations of insecticides used in the assay were prepared in acetone. For each repeat experiment, all solutions were prepared fresh from the received powders, and working solutions were formulated as 1 ppm = 1 mg/L of the insecticide powder. For example, in Figs. 2 and 3, 500 μl of 50 ppm (50 mg/ml) of DDT solution = 25 mg of DDT was used per vial per experiment as has been previously described16,58. Glass scintillation vials were coated with 500 μl of desired concentration of given insecticide using an automated rotator to evaporate all the acetone have uniformly coated vials. These vials were used the next day58. 25–30 flies per vial were transferred by tapping and the vials were closed with cotton plugs soaked in 5% sucrose solution. Care was taken not to expose flies to CO2 on the day of the assay. Dead flies were recorded 24 h post exposure. For Fig. 1B, Supplementary Fig. 2A, Supplementary Fig. 2B, male flies were used. For Figs. 2E and 3C, assayed male and female flies were collected and processed separately for genotyping.

Embryo hatchability

2–4-day-old females were mated with males of same genotype. 100–120 embryos from the resulting cross were collected at 24 h for each genotype and lethality (non-hatched embryos) was measured at 48 h.


Protocol adopted from Piper and Partridge59. Briefly, 1–3 old males were collected for each genotype and distributed in 12–15flies/vial, at least 10 vials per genotype. The deaths were recorded every alternate day and flies were transferred to fresh food twice a week. The assay was done at 25 °C.

Oxidative stress assay

Standard fly food with 20 mM paraquat added was prepared. 2 ml of food was used per vial. Twenty-five 3-5-day-old female flies of each genotype were distributed per vial. Five independent replicates were done. Flies were maintained at 25 °C. Deaths were recorded 24 h and 48 h post exposure.

Temperature sensitivity assay

3–5 days males were distributed as 20 flies per empty vial with wet cotton plug. Experiment was repeated in four independent replicates. Flies were exposed to 37 °C for 4 h. The vials were tapped, and the movement of flies was recorded for 1 min. A control set at 25 °C was monitored with no significant difference in mobility.

Sleep behavior assay

All flies were raised on standard molasses-yeast cornmeal vials at 25 °C. To measure sleep, we used 4–7 days old female and male flies. Individual flies were loaded into glass tubes containing 5% sucrose and 1% agarose as the food source at one end and monitored by the Drosophila Activity Monitoring System (TriKinetics). Flies were entrained for 2 days under 12 h:12 h light:dark cycles before activity data were collected for analysis. Sleep is identified as periods of inactivity for at least 5 min60. Sleep assays were performed under full-spectrum lights (Waveform Lighting) during the light period at 25 °C.

Active genetic safety measures

All experiments were done using split-drive system. In line with UCSD Biosafety Committee-approved protocol, split drive experiments are performed in an ACL1 insectary in plastic vials that are autoclaved prior to being discarded.

Sample preparation for sequencing

Briefly, 30–50 male or female flies per replicate were crushed in 500 μl homogenization medium (0.1 M Tris, 0.1 M EDTA,1%SDS, 0.5% diethylpyrocarbonate) and incubated at 65 °C for 30 min. The DNA was precipitated using 100 μl of 8 M potassium acetate and Isopropanol61. The extracted gDNA is amplified using vgsc specific primers followed by adapter primers and run on Illumina NOVOseq platform. Data were analyzed using CRISPResso2 and CrispRVariants pipelines.

vgsc forward: 5′ACACTCTTTCCCTACACGACGCTCTTCCGATCTagcttcatgatcgtgttcc 3′

vgsc reverse: 5′GACTGGAGTTCAGACGTGTGCTCTTCCGATCTgccatggttagaggcgataagtc 3′.

Modeling analysis

Model fitting was carried out using a discrete-generation adaptation of the Mosquito Gene Drive Explorer (MGDrivE)62. A likelihood-based Markov chain Monte Carlo (MCMC) procedure was used to estimate gene drive efficacy and genotype-specific fitness costs, employing initial parameter projections from the single-pair test crosses providing Maximum a Posteriori estimates and 95% credible intervals for each parameter63. Mendelian inheritance was assumed except under co-occurrence of the Cas9 and gRNA constructs when the split-drive design allowed active cleavage of the target chromosome and the possibility of super-Mendelian inheritance. In females, when cleavage occurred, a fraction of the cut alleles could be properly repaired via HDR, and the remaining cut alleles underwent NHEJ repair, generating in or out-of-frame resistant alleles, at both yellow and para loci. At yellow, HDR results in drive, and super-Mendelian inheritance, of the gRNA construct. At para, HDR possibly results in allelic conversion, depending on the sister chromatid. In males, which are monoploid for the X-chromosome, there is no wild-type yellow locus available for cleavage when the gRNA construct is present. Additionally, there is no repair template for the para locus, thus repair involves direct ligation or resection and generation of NHEJ alleles. Fitness costs were implemented as copy-number dependent reductions in female fecundity or male mating competitiveness in the presence of the 1014F allele at the para locus. Additionally, as para is a haplosufficient essential gene, females with two out-of-frame NHEJ alleles (or males with one) were considered unviable. More details on the model implementation and likelihood function used in the model fitting can be found in the Supplementary note 1. The results of each fit, using the estimated parameters, are plotted in Fig. 3B, D along with corresponding experimental cage trial data. Parameter descriptions and estimates for each set of cage trials are provided in Supplementary Tables 5 and 6.

Simulated model trajectories for Fig. 3 were generated using a stochastic implementation of the discrete-generation model. At each generation, adult females mate with males, thereby obtaining a composite mated genotype (their own, and that of their mate) with mate choice following a multinomial distribution determined by adult male genotype frequencies, modified by mating efficacy. Egg production by mated adult females then follows a Poisson distribution, proportional to the genotype-specific lifetime fecundity of the adult female. Offspring genotype follows a multinomial distribution informed by the composite mated female genotype and the inheritance pattern of the split allelic-drive system. Sex distribution of offspring follows a binomial distribution, assuming equal probability for each sex. Female and male adults from each generation are then sampled equally to seed the next generation, with sample size proportional to the average size of the cage trials at that generation, following a multivariate hypergeometric distribution. All simulations were performed and analyzed in R64. Code is uploaded on zenodo at DOI: 10.5281/zenodo.5715691.

Ethical conduct of research

We have complied with all relevant ethical regulations for animal testing and research and conformed to the UCSD institutionally approved biological use authorization protocol (BUA #311).

Statistics and reproducibility

All data shown here are from at least three independent experiments. No data were excluded from the analysis. The sample size was decided based on earlier similar experiments and consistency of the data during experiments. No blinding was required as experiments were done by same investigator.

Data were analyzed and plotted using GraphPad Prism 9.2.0. Mean ± s.e.m. was plotted unless otherwise indicated. For comparison between three or more samples, one-way ANOVA and Sidak post hoc test was used. For more than one group’s experiments, two-way ANOVA was used. The significance was considered as p < 0.05 (*), p < 0.01 (**), p < 0.001 (***), or p < 0.0001 (****).

Data availability

The sequencing data is uploaded to NCBI and available online. The accession numbers are PRJNA757741 for F2 female deep sequencing data, Supplementary Fig. 5A; PRJNA758048 for F2 male deep sequencing data, Supplementary Fig. 5D; PRJNA758082 for cage trails deep seq data (gen 1 5 and 9), Supplementary Fig. 7. The modeling data are uploaded at data are provided with this paper.


  1. Global Malaria Programme: WHO Global. World Malaria Report 2019. (2019).

  2. Hemingway, J. et al. Tools and strategies for malaria control and elimination: what do we need to achieve a grand convergence in malaria? PLoS Biol. 14, e1002380 (2016).

    PubMed  PubMed Central  Google Scholar 

  3. Swale, D. R. Perspectives on new strategies for the identification and development of insecticide targets. Pestic. Biochem. Physiol. 161, 23–32 (2019).

    CAS  PubMed  Google Scholar 

  4. Bier E. Gene drives gaining speed. Nat Rev. Genet. (2021).

  5. Liu, N. Insecticide resistance in mosquitoes: impact, mechanisms, and research directions. Annu. Rev. Entomol. 60, 537–559 (2015).

    CAS  PubMed  Google Scholar 

  6. Ffrench-Constant, R. H. & Bass, C. Does resistance really carry a fitness cost? Curr. Opin. Insect Sci. 21, 39–46 (2017).

    PubMed  PubMed Central  Google Scholar 

  7. Rigby, L. M. et al. Identifying the fitness costs of a pyrethroid-resistant genotype in the major arboviral vector Aedes aegypti. Parasit. Vectors 13, 358 (2020).

    CAS  PubMed  PubMed Central  Google Scholar 

  8. Douris, V. et al. Using CRISPR/Cas9 genome modification to understand the genetic basis of insecticide resistance: Drosophila and beyond. Pestic. Biochem Physiol. 167, 104595 (2020).

    CAS  PubMed  Google Scholar 

  9. Rinkevich, F. D., Leichter, C. A., Lazo, T. A., Hardstone, M. C. & Scott, J. G. Variable fitness costs for pyrethroid resistance alleles in the house fly, Musca domestica, in the absence of insecticide pressure. Pestic. Biochem. Physiol. 105, 161–168 (2013).

    CAS  Google Scholar 

  10. Silva, J. J. & Scott, J. G. Conservation of the voltage-sensitive sodium channel protein within the Insecta. Insect Mol. Biol. 29, 9–18 (2020).

    CAS  PubMed  Google Scholar 

  11. Yellapu, N. K., Gopal, J., Kasinathan, G. & Purushothaman, J. Molecular modelling studies of kdr mutations in voltage gated sodium channel revealed significant conformational variations contributing to insecticide resistance. J. Biomol. Struct. Dyn. 36, 2058–2069 (2018).

    CAS  PubMed  Google Scholar 

  12. Abdu-Allah, G. A. M. et al. Dietary antioxidants impact DDT resistance in Drosophila melanogaster. PLoS ONE 15, e0237986–e0237986 (2020).

    CAS  PubMed  PubMed Central  Google Scholar 

  13. Aryal, B. & Lee, Y. Disease model organism for Parkinson disease: Drosophila melanogaster. BMB Rep. 52, 250–258 (2019).

    CAS  PubMed  PubMed Central  Google Scholar 

  14. Lovejoy, P. C. et al. Genetic basis of susceptibility to low-dose paraquat and variation between the sexes in Drosophila melanogaster. Mol. Ecol. 30, 2040–2053 (2021).

    CAS  PubMed  Google Scholar 

  15. Nelson, J. C. & Wyman, R. J. Examination of paralysis in Drosophila temperature-sensitive paralytic mutations affecting sodium channels; a proposed mechanism of paralysis. J. Neurobiol. 21, 453–469 (1990).

    CAS  PubMed  Google Scholar 

  16. Pittendrigh, B., Reenan, R., Ffrench-Constant, R. H. & Ganetzky, B. Point mutations in the Drosophila sodium channel gene para associated with resistance to DDT and pyrethroid insecticides. Mol. Gen. Genet. 256, 602–610 (1997).

    CAS  PubMed  Google Scholar 

  17. Eijkelkamp, N. et al. Neurological perspectives on voltage-gated sodium channels. Brain 135, 2585–2612 (2012).

    PubMed  PubMed Central  Google Scholar 

  18. Papale, L. A. et al. Altered sleep regulation in a mouse model of SCN1A-derived genetic epilepsy with febrile seizures plus (GEFS+). Epilepsia 54, 625–634 (2013).

    CAS  PubMed  PubMed Central  Google Scholar 

  19. Petruccelli, E., Lansdon, P. & Kitamoto, T. Exaggerated nighttime sleep and defective sleep homeostasis in a Drosophila knock-in model of human epilepsy. PLoS ONE 10, e0137758 (2015).

    PubMed  PubMed Central  Google Scholar 

  20. Kroll, J. R., Saras, A. & Tanouye, M. A. Drosophila sodium channel mutations: contributions to seizure-susceptibility. Exp. Neurol. 274, 80–87 (2015).

    CAS  PubMed  PubMed Central  Google Scholar 

  21. Pepper, D. R. & Osborne, M. P. Electrophysiological identification of site-insensitive mechanisms in knockdown-resistant strains (kdr, super-kdr) of the housefly larva (Musca domestica). Pestic. Sci. 39, 279–286 (1993).

    CAS  Google Scholar 

  22. Guichard, A. et al. Efficient allelic-drive in Drosophila. Nat. Commun. 10, 1640 (2019).

    ADS  PubMed  PubMed Central  Google Scholar 

  23. Gantz, V. M. & Bier, E. The mutagenic chain reaction: a method for converting heterozygous to homozygous mutations. Science 348, 442 LP–442444 (2015).

    ADS  Google Scholar 

  24. Xu, X. R. S. et al. Active genetic neutralizing elements for halting or deleting gene drives. Mol. Cell 80, 246–262.e4 (2020).

    CAS  PubMed  Google Scholar 

  25. López Del Amo, V. et al. A transcomplementing gene drive provides a flexible platform for laboratory investigation and potential field deployment. Nat. Commun. 11, 352 (2020).

    ADS  PubMed  PubMed Central  Google Scholar 

  26. Massey, J. H., Chung, D., Siwanowicz, I., Stern, D. L. & Wittkopp, P. J. The yellow gene influences Drosophila male mating success through sex comb melanization. Elife 8, e49388 (2019).

    PubMed  PubMed Central  Google Scholar 

  27. Xiao, C., Qiu, S. & Robertson, R. M. The white gene controls copulation success in Drosophila melanogaster. Sci. Rep. 7, 7712 (2017).

    ADS  PubMed  PubMed Central  Google Scholar 

  28. Terradas, G. et al. Inherently confinable split-drive systems in Drosophila. Nat. Commun. 12, 1480 (2021).

    ADS  CAS  PubMed  PubMed Central  Google Scholar 

  29. Kandul, N. P., Liu, J., Bennett, J. B., Marshall, J. M. & Akbari, O. S. A confinable home-and-rescue gene drive for population modification. Elife 10, e65939 (2021).

  30. Schmidt, J. M. et al. Copy number variation and transposable elements feature in recent, ongoing adaptation at the Cyp6g1 locus. PLoS Genet. 6, e1000998 (2010).

    PubMed  PubMed Central  Google Scholar 

  31. Platt, N. et al. Target-site resistance mutations (kdr and RDL), but not metabolic resistance, negatively impact male mating competiveness in the malaria vector Anopheles gambiae. Heredity 115, 243–252 (2015).

    CAS  PubMed  PubMed Central  Google Scholar 

  32. Brito, L. P. et al. Assessing the effects of Aedes aegypti kdr Mutations on pyrethroid resistance and its fitness cost. PLoS ONE 8, e60878 (2013).

    ADS  MathSciNet  CAS  PubMed  PubMed Central  Google Scholar 

  33. Kliot, A. & Ghanim, M. Fitness costs associated with insecticide resistance. Pest Manag. Sci. 68, 1431–1437 (2012).

    CAS  PubMed  Google Scholar 

  34. Hanai, D., Hardstone Yoshimizu, M. & Scott, J. G. The insecticide resistance Allele kdr-his has a fitness cost in the absence of insecticide exposure. J. Econ. Entomol. 111, 2992–2995 (2018).

    CAS  PubMed  Google Scholar 

  35. Samantsidis, G.-R. et al. ‘What I cannot create, I do not understand’: functionally validated synergism of metabolic and target site insecticide resistance. Proc. R. Soc. B Biol. Sci. 287, 20200838 (2020).

    CAS  Google Scholar 

  36. David, J.-P. et al. Role of cytochrome P450s in insecticide resistance: impact on the control of mosquito-borne diseases and use of insecticides on Earth, Philosophical Transactions of the Royal Society B: Biological Sciences. Royal Society, 368, 20120429 (2013).

  37. Oumbouke, W. A. et al. Fine scale spatial investigation of multiple insecticide resistance and underlying target-site and metabolic mechanisms in Anopheles gambiae in central Côte d’Ivoire. Sci. Rep. 10, 15066 (2020).

    CAS  PubMed  PubMed Central  Google Scholar 

  38. Shaurub, E.-S. H., Paredes-Montero, J. R., Brown, J. K., Zein, H. S. & Mohamed, A. A. Metabolic resistance to organophosphate insecticides in natural populations of the whitefly Bemisia tabaci (Hemiptera: Aleyrodidae) in Egypt and molecular identification of mitotypes. Phytoparasitica 49, 443–457 (2021).

    CAS  Google Scholar 

  39. Djiappi-Tchamen, B. et al. Analyses of insecticide resistance genes in aedes aegypti and aedes albopictus mosquito populations from cameroon. Genes 12, 1–13 (2021).

    Google Scholar 

  40. Xu, X.-R. S., Gantz, V. M., Siomava, N. & Bier, E. CRISPR/Cas9 and active genetics-based trans-species replacement of the endogenous Drosophila kni-L2 CRM reveals unexpected complexity. Elife. 6, e30281 (2017).

    PubMed  PubMed Central  Google Scholar 

  41. Adolfi, A. et al. Efficient population modification gene-drive rescue system in the malaria mosquito Anopheles stephensi. Nat. Commun. 11, 5553 (2020).

    ADS  CAS  PubMed  PubMed Central  Google Scholar 

  42. Carballar-Lejarazú, R. et al. Next-generation gene drive for population modification of the malaria vector mosquito, Anopheles gambiae. Proc. Natl Acad. Sci. USA 117, 22805 LP–22822814 (2020).

    Google Scholar 

  43. Ranson, H. & Lissenden, N. Insecticide resistance in African Anopheles mosquitoes: a worsening situation that needs urgent action to maintain malaria control. Trends Parasitol. 32, 187–196 (2016).

    CAS  PubMed  Google Scholar 

  44. Mnzava, A. P. et al. Implementation of the global plan for insecticide resistance management in malaria vectors: progress, challenges and the way forward. Malar. J. 14, 173 (2015).

    PubMed  PubMed Central  Google Scholar 

  45. Staedke, S. G. et al. Effect of long-lasting insecticidal nets with and without piperonyl butoxide on malaria indicators in Uganda (LLINEUP): a pragmatic, cluster-randomised trial embedded in a national LLIN distribution campaign. Lancet 395, 1292–1303 (2020).

    CAS  PubMed  PubMed Central  Google Scholar 

  46. World Health Organization. Global Malaria Programme. Global plan for insecticide resistance management in malaria vectors’. Geneva PP - Geneva: World Health Organization. (2012). Available at:

  47. Selvaraj, P. et al. Vector genetics, insecticide resistance and gene drives: an agent-based modeling approach to evaluate malaria transmission and elimination. PLoS Comput. Biol. 16, 1–21 (2020).

    Google Scholar 

  48. Churcher, T. S., Lissenden, N., Griffin, J. T., Worrall, E. & Ranson, H. The impact of pyrethroid resistance on the efficacy and effectiveness of bednets for malaria control in Africa. Elife 5, 1–26 (2016).

    Google Scholar 

  49. Grau-Bové, X. et al. Resistance to pirimiphos-methyl in West African Anopheles is spreading via duplication and introgression of the Ace1 locus. PLoS Genet. 17, e1009253 (2021).

    PubMed  PubMed Central  Google Scholar 

  50. Clarkson, C. S. et al. The genetic architecture of target-site resistance to pyrethroid insecticides in the African malaria vectors Anopheles gambiae and Anopheles coluzzii. Mol Ecol. n/a. (2021).

  51. Pryce, J., Richardson, M. & Lengeler, C. Insecticide-treated nets for preventing malaria. Cochrane Database Syst Rev. 2018. (2018).

  52. D’Alessandro, U. et al. The Gambian National Impregnated Bed Net Programme: evaluation of effectiveness by means of case-control studies. Trans. R. Soc. Trop. Med. Hyg. 91, 638–642 (1997).

    PubMed  Google Scholar 

  53. Staedke, S. G. et al. Effect of long-lasting insecticidal nets with and without piperonyl butoxide on malaria indicators in Uganda (LLINEUP): a pragmatic, cluster-randomised trial embedded in a national LLIN distribution campaign. Lancet 395, 1292–1303 (2020).

    CAS  PubMed  PubMed Central  Google Scholar 

  54. Protopopoff, N. et al. Effectiveness of a long-lasting piperonyl butoxide-treated insecticidal net and indoor residual spray interventions, separately and together, against malaria transmitted by pyrethroid-resistant mosquitoes: a cluster, randomised controlled, two-by-two factorial design trial. Lancet 391, 1577–1588 (2018).

    CAS  PubMed  PubMed Central  Google Scholar 

  55. Li, J. et al. Genome-block expression-assisted association studies discover malaria resistance genes in Anopheles gambiae. Proc. Natl Acad. Sci. USA 110, 20675 LP–20620680 (2013).

    ADS  Google Scholar 

  56. Niu, G. et al. The fibrinogen-like domain of FREP1 protein is a broad-spectrum malaria transmission-blocking vaccine antigen. J. Biol. Chem. 292, 11960–11969 (2017).

    CAS  PubMed  PubMed Central  Google Scholar 

  57. Zhang, G. et al. Anopheles midgut FREP1 mediates Plasmodium invasion. J Biol. Chem. 290, 16490–16501 (2015).

    CAS  PubMed  PubMed Central  Google Scholar 

  58. Duneau, D. et al. Signatures of insecticide selection in the genome of Drosophila melanogaster. G3 Genes Genomes Genet. 8, 3469–3480 (2018).

    CAS  Google Scholar 

  59. Piper, M. D. W. & Partridge, L. Protocols to study aging in Drosophila. Methods Mol. Biol. 1478, 291–302 (2016).

    CAS  PubMed  PubMed Central  Google Scholar 

  60. Shaw, P. J., Cirelli, C., Greenspan, R. J. & Tononi, G. Correlates of sleep and waking in Drosophila melanogaster. Science 287, 1834 LP–1831837 (2000).

    ADS  Google Scholar 

  61. Steller, H. & Pirrotta, V. P transposons controlled by the heat shock promoter. Mol. Cell Biol. 6, 1640–1649 (1986).

    CAS  PubMed  PubMed Central  Google Scholar 

  62. Sánchez, C. H. M., Wu, S. L., Bennett, J. B. & Marshall, J. M. MGDrivE: a modular simulation framework for the spread of gene drives through spatially explicit mosquito populations. Methods Ecol. Evol. 11, 229–239 (2020).

    Google Scholar 

  63. Hartig, F., Minunno, F. & Paul, S. BayesianTools: General-Purpose MCMC and SMC Samplers and Tools for Bayesian Statistics, R package version 0.1.4. (2017). Available at:

  64. R Core Team. R: A Language and Environment for Statistical Computing (R Foundation for Statistical Computing, Vienna, Austria, 2020).

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We thank Valentino Gantz, Anupama Singh, Anthony James, and all the members of the Bier lab for helpful discussions and comments on the project and the manuscript. These studies were supported by gift from the Tata Trusts in India to TIGS-UCSD, and by NIH grant R01GM117321 and a Paul G. Allen Frontiers Group Distinguished Investigator Award to E.B. and by grants to C.M. from the NIDCD (R01-DC007864) and the NIAID (R01-AI165575).

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B.K. contributed to concept, design and contributed to conducting all the experiments, and contributed to writing of the manuscript. R.B.S.K. contributed to original concept, design, and contributed to conducting experiments. A.A. contributed to experiments and writing of the manuscript. AG contributed to original concept, experiments, and writing of the manuscript. M.L., J.B.B., J.M.M. and A.H.F.J. contributed to specific experiments. C.M. contributed to experimental design and editing of the manuscript. E.B. contributed to original concept of allelic-drive, experimental design, and writing the manuscript.

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Correspondence to Ethan Bier.

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E.B. has equity interests in Synbal, Inc. and Agragene, Inc., companies that may potentially benefit from the research results and also serves on the company’s Scientific Advisory Board and Board of Directors. All other authors declare no competing interests.

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Kaduskar, B., Kushwah, R.B.S., Auradkar, A. et al. Reversing insecticide resistance with allelic-drive in Drosophila melanogaster. Nat Commun 13, 291 (2022).

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