Abstract
Promising genetics-based approaches are being developed to reduce or prevent the transmission of mosquito-vectored diseases. Less clear is how such transgenes can be removed from the environment, a concern that is particularly relevant for highly invasive gene drive transgenes. Here, we lay the groundwork for a transgene removal system based on single-strand annealing (SSA), a eukaryotic DNA repair mechanism. An SSA-based rescuer strain (kmoRG) was engineered to have direct repeat sequences (DRs) in the Aedes aegypti kynurenine 3-monooxygenase (kmo) gene flanking the intervening transgenic cargo genes, DsRED and EGFP. Targeted induction of DNA double-strand breaks (DSBs) in the DsRED transgene successfully triggered complete elimination of the entire cargo from the kmoRG strain, restoring the wild-type kmo gene, and thereby, normal eye pigmentation. Our work establishes the framework for strategies to remove transgene sequences during the evaluation and testing of modified strains for genetics-based mosquito control.
Keywords: Aedes aegypti, genetically modified organisms, single-strand annealing, genome editing, DNA repair
Significance Statement.
In order to prevent mosquito-transmitted diseases, approaches based on genetic control of vector populations are being developed. However, many such strategies are based on highly invasive, self-propagating transgenes that can rapidly spread the trait into native populations with ecological consequences difficult to predict and potentially impossible to reverse. Although various confinable, self-exhausting approaches are being developed to mitigate unintended issues in genetics-based population control, many of those focus on the process of drive itself, rather than the transgene components, which may remain in the population for extended periods of time. Here, we show that an SSA-based transgene removal system decreases the stability of transgenes from the Ae. aegypti genome, suggesting a novel pathway for engineering safety features into approaches for genetic control of vector mosquito populations.
Introduction
To control vector mosquito populations, genetics-based control methods have been proposed based on Sterile Insect Technique (SIT), Release of Insects carrying a Dominant Lethal (RIDL) and/or gene drive (1–4). In gene drive approaches, the modified organism carries 1 or more genetic elements that permit the rapid introgression of the genetic trait into the target species population via super-Mendelian inheritance (2). The development of the CRISPR/CRISPR-associated protein 9 (Cas9) system dramatically accelerated homing gene drive strategies in malaria and dengue transmitting mosquitoes (5–10). CRISPR-based homing gene drive approaches have been proposed that could permanently alter the genomes of disease vectors for the purposes of either population suppression or population replacement (rendering vectors unable to transmit pathogens) (1, 11). With this come concerns related to releasing genetically modified organisms (GMOs), in terms of both health and ecological safety (12, 13). For example, a gene drive transgene could potentially invade related nontarget populations, and given their invasive, self-propagating nature, it may be impossible to remove such transgenic material once out in the field. As potential hazards to ecosystems are still uncertain (14–18), the ability to limit and/or remove a gene drive transgene is perceived as a major factor in the potential acceptability of these technologies (19–21). Confinable gene drive strategies in a split or daisy-chain system have been proposed to eliminate unwanted invasion to nontarget populations (10, 22), while genetic technologies such as CATCHA, e-CHACRs, ERACRs, and the anti-CRISPR AcrIIA4 protein have shown promise to limit the activity of gene drive transgenes (23–25). While these approaches could limit the process of gene drive, removing the transgenes themselves is not simple and in many cases would require remediation in the form of mass release of wild-type insects. We recently proposed several technological designs that take advantage of naturally occurring DNA repair mechanisms potentially capable of deleting transgenes scarlessly from the genome of a gene drive mosquito and predicted to reverse the invasion of a gene drive transgene back to the wild-type (26).
Mosquitoes, like all eukaryotes, rely on DNA repair systems to process DNA double-strand breaks (DSBs) by mainly 2 pathways; nonhomologous end joining (NHEJ) or homology-directed repair (HDR) (27, 28). In NHEJ, the Ku complex initially binds the DSB site and subsequently recruits the DNA–PKcs/Artemis complex and the XRCC4–DNA Ligase IV complex to repair the broken DNA ends, potentially generating insertions or deletions in the process. In contrast, the HDR pathway can repair DSBs by using a homologous template sequence from a sister chromosome (29, 30). In the latter case, DNA end-resection at the DSB site results in a 3'-single-stranded DNA (ssDNA) tail that allows other necessary factors including the MRN/X complex, RAD51, and BRCAs to be recruited for strand invasion during the repair process (31, 32). Interestingly, when DSB-induced ssDNA resection occurs between 2 identical sequences, known as direct repeat sequences (DRs), the single-strand annealing (SSA) pathway allows the DRs to be annealed and triggers the intervening sequences to be deleted (33, 34) (Fig. 1A). Our previous work demonstrated that this highly deleterious form of repair occurs readily in Aedes aegypti mosquitoes (35). Thus, we hypothesized that if a series of transgenes is engineered with flanking DR sequences, these could be subsequently deleted via the SSA pathway when required, while simultaneously resulting in the restoration of the wild-type genotype.
Fig. 1.
Aedes aegypti transgenic strains for SSA-based transgene elimination. (A) Schematic representation of the eukaryotic SSA mechanism. The DNA DSBs can be repaired by the SSA pathway in the presence of flanking DR motifs. Following DNA end resection from the DSB site by the MRN (MRE11-RAD50-NBS1)/CtIP complex, 2 DRs are aligned parallelly by RAD52 based upon sequence homology, and then the intervening sequence is degraded. (B) Schematic representation of plasmid constructs pBR-KmoEx4 and pSSA-KmoDR0.7 for the development of stage 1 kmoEGFP and stage 2 kmoRG strains, respectively. For pBR-KmoEx4, sgRNA-KmoEx4 was designed to target exon4 of the Ae. aegypti kmo gene (Figure S1A, Supplementary Material) and flanking kmo sequences (∼0.7 kb) were included as HAs, HA1 (exon4/5) and HA2 (exon2/3). PUb-EGFP and RED1/2 (3'-half of DsRED) were interposed between the 2 HAs as transgene cargos. For pSSA-KmoDR0.7, sgRNA-HybRED was created to target to RED1/2 in the kmoEGFP strain (Figure S1B, Supplementary Material). The stage 2 kmoRG strain carries the additional kmo exon2/3 (HA2) as the DRs (pink bars) and 3xP3-driven full-sized DsRED, which was modified to contain the I-SceI recognition sequence next to ATG translation start codon. (C) Transgenic kmoEGFP(top)and kmoRG (bottom) strain mosquito larvae and adults as viewed under white light, EGFP, and DsRed filters. The kmoEGFP strain did not show DsRED fluorescent eyes (arrow heads), because it has RED1/2, a truncated DsRED gene. (D) PCR analysis for chromosomal integration of donor plasmid constructs at the kmo locus in the transgenic mosquitoes. A total of 2 pairs of PCR primers (horizontal arrows in Fig. 1B; Table S1, Supplementary Material) were utilized to recognize the junction areas between cargo genes and kmo genomic sequences outside of HAs.
Here, we present a proof-of-concept genetic system as a prelude to self-eliminating transgene technologies (26) to preprogram the elimination of transgene cargos in the mosquito Ae. aegypti by taking advantage of the SSA pathway. We used site-specific recombination to insert 2 transgenes within the Ae. aegypti kmo locus. Endonuclease-driven DSBs at 1 of the reporter genes triggered both NHEJ and SSA-based repair. Most importantly, the SSA pathway removed all exogenous cargo and flawlessly restored the wild-type gene and the normal eye pigmentation phenotype from the transgenic, white-eyed mosquitoes. Multigenerational tests indicated that the rate of SSA-based transgene elimination assisted by natural selection substantially increased the number of wild-type individuals in the test populations. The SSA-based self-eliminating transgene system developed in this study provides the basis for potential rescue strategies for transgenesis-based mosquito population control.
Results
To establish an SSA-based transgene removal system in Ae. aegypti, we performed site-specific insertion of transgene sequences targeting the kynurenine 3-monooxygenase (kmo) gene as the recipient locus in a 2-stage process (Fig. 1B; Table S1, Supplementary Material). For the 1st stage, a polyubiquitin-EGFP (PUb-EGFP) reporter cassette and the 3'-portion of the DsRED (RED1/2) gene were flanked by homology arm (HA) sequences (771 bp from exon4/5 for HA1 and 684 bp from exon2/3 for HA2) with DSB induction triggered by Cas9 complexed with a single synthetic guide RNA (sgRNA-KmoEx4; Figure S1A and Table S2, Supplementary Material). EGFP+ individuals were used to establish a strain we refer to as kmoEGFP. In the second stage, a new sgRNA (sgRNA-HybRED) was designed to recognize the boundary sequence of the RED1/2 in the kmoEGFP strain (Figure S1B, Supplementary Material), with the new transgene sequences flanked by corresponding HAs (Fig. 1B). The result of this integration was that the HA2 region was duplicated next to HA1, creating DRs of approximately 700 bp that could be utilized by the SSA pathway. This 2-stage process was necessary to prevent competition in repair between the 2 HA2 motifs, as use of the HA2 in proximity to HA1 could result in repair of the kmo gene with no integration of the transgenes. As expected, the stage 2 kmoRG mosquitoes displayed DsRED fluorescence in the eyes (36), EGFP fluorescence in the body (37), and white-colored eyes due to loss of kmo (38, 39) (Fig. 1C). The site-specific insertion of each cassette was verified by PCR analysis for both kmoEGFP and kmoRG strains (Fig. 1D). In order to trigger a DSB in the transgene sequence and initiate SSA, an I-SceI recognition site was included in-frame following the ATG translational start codon of the DsRED gene. This position was advantageous in that it could potentially allow the identification of NHEJ-based repair events (DsRED–/EGFP+/Kmo–; referred to as kmoG/Δ4) in addition to SSA-based events (DsRED–/EGFP–/Kmo+; referred to as kmo+/Δ4).
As an initial test of SSA-driven elimination of the transgene in the kmoRG strain, we microinjected preblastoderm embryos, obtained from a cross between heterozygous kmoRG/Δ4 parents, with a donor plasmid expressing the homing endonuclease (HE) I-SceI to induce DSB formation in the transgene (Fig. 2A). Only kmoRG G0 survivors, consisting of both homozygous kmoRG/RG and heterozygous kmoRG/Δ4 genotypes, were outcrossed with kmoΔ4/Δ4, a white-eyed nontransgenic strain with a characterized disruption in kmo (40), with G1 progeny scored for both fluorescent markers and eye pigmentation to determine the rates of DNA repair proceeding through either the NHEJ or SSA pathways (Fig. 2A). Consistent with SSA-driven elimination of the transgenes, ∼2.7% (16 out of 589) of the progeny of female G0 survivors were restored to black eyes (Fig. 2B and C). We observed the NHEJ-driven loss of the DsRED marker alone in 0.7% (4 out of 589) of the progeny of female G0 survivors. No SSA-based events and 1 NHEJ were found in the progeny (1 out of 3,276) of male G0 survivors. We confirmed that the loss of DsRED in kmoG/Δ4 mosquitoes was indeed due to imprecise repair at the I-SceI target site resulting in a 4-bp deletion (Figure S2, Supplementary Material). We conclude that it is possible to trigger the complete elimination of transgene sequences, and that SSA-based repair mechanisms can be at least as efficient as NHEJ.
Fig. 2.
SSA-based transgene elimination triggered by plasmid DNA expressing a HE, I-SceI. (A) Schematic workflow representation of evaluating the SSA-based transgene removal system engineered in the kmoRG strain. (B) Distinct DNA repair-associated phenotypes in eye pigmentation and marker fluorescence of G1 larvae in the SSA test. The insert is a magnified image of black-colored eyes restored by SSA-driven transgene elimination from the targeted kmo gene. (C) Summary of the SSA test using a plasmid-based SSA trigger. G0 embryos that were not microinjected served as negative controls.
As the timing, level and tissue specificity of I-SceI expression is variable when introduced transiently through plasmid injection, we sought to generate transgenic strains that express I-SceI under the activity of germline-specific nos and beta2-tubulin (β2T), whole-body constitutive polyubiquitin (PUb), or heat-inducible heat shock protein 70A (Hsp70A) promoters (37, 41, 42) (Figure S3A, Supplementary Material). Following microinjection to kmoΔ4/Δ4 embryos, we were able to obtain 1 transgenic mosquito strain each for Nos-I-SceI and PUb-I-SceI, but none for β2T-I-SceI or Hsp70A-I-SceI, despite multiple attempts (Figure S3B and Table S3, Supplementary Material). Both Nos-I-SceI and PUb-I-SceI strains were shown to successfully express I-SceI transcripts in embryos at 24 hours postoviposition by RT-PCR analysis (Figure S3C, Supplementary Material), and transgene integration into the mosquito genome was validated by inverse PCR analysis (Table S4, Supplementary Material).
To determine the potential for each strain to initiate SSA-driven transgene elimination, Nos-I-SceI or PUb-I-SceI mosquitoes were reciprocally crossed with kmoRG (Fig. 3A). F1 individuals that contained both sets of transgenes (SceI +/–/kmoRG/Δ4) were outcrossed to kmoΔ4/Δ4 and F2 progeny scored for SSA and NHEJ events. In single-generation SSA tests (Table 1 and Fig. 3B; Table S5, Supplementary Material), we observed restoration of the kmo gene and complete loss of all transgenes in 0.5%–1% of transgenic progeny when the grandfather (F0♂) provided the Nos-I-SceI transgene. Likewise, SSA-based repair events constituted 2%–3% of transgenic progeny when the Nos-I-SceI cassette was provided by the grandmother (F0♀). Interestingly, though the Nos-I-SceI cassette was not inherited, the F0♀-F1 mosquitoes (BFP–) were still able to produce DNA repair-associated phenotypes in F2 progeny (Table 1), providing evidence that significant numbers of DSBs were induced by the dominant maternal effect of the nuclease. In contrast, no NHEJ or SSA events were recovered when using the PUb-I-SceI strain (Table 1), suggesting that expression of I-SceI was insufficient for inducing DSB formation, despite the fact that its transcript was present in embryos (Figure S3C, Supplementary Material). While this result was somewhat unexpected as plasmid-expressed PUb-I-SceI did trigger SSA (Fig. 2C), the microinjection procedure into preblastoderm embryos might have allowed the transiently expressed I-SceI enzyme access to the germ cells, enabling DSB repair events to be transmitted to G1 progeny, whereas PUb-driven I-SceI gene expression from the chromosome may be restricted in the germline cells, as PUb-driven EGFP mRNA was not detectable in the ovarian tissue (37).
Fig. 3.
SSA-based transgene elimination in transgenic mosquitoes expressing I-SceI. (A) Schematic representation of crossing scheme used to evaluate the SSA-based transgene elimination in kmoRG transgenic mosquitoes by reciprocal crossing with Nos-I-SceI. (B) Single-generation SSA test using the Nos-I-SceI strain (G12) as an SSA trigger. F2 larvae were scored for marker fluorescence and eye pigmentation to measure the selection frequencies of a DSB repair pathway, either % NHEJ (kmoG/Δ4/(kmoRG/Δ4 + kmoG/Δ4 + kmo+/Δ4) or % SSA (kmo+/Δ4/(kmoRG/Δ4 + kmoG/Δ4 + kmo+/Δ4). Experimental data were obtained from triplicated tests. Tukey's multiple comparison test was found to be significant (2-way ANOVA, P < 0.0002), statistically different groups are marked (a and b). (C) An updated deterministic model of transgene elimination in the context of a homing-based gene drive where the target site is present in a location where functional resistance alleles cannot occur. Parameters for successful (SSA) and failed (NHEJ) transgene elimination are based on (B); gene drive parameters are indicated; all other model parameters are based on (26); (see Supplementary Material). Gene drive scenarios are assuming 5% fitness cost per transgene copy or disrupted host gene (top), or in addition a 100% cost (complete lethality) in females when both copies are disrupted (bottom). Dotted line indicates maximum frequency of the gene drive transgene.
Table 1.
Single-generation tests for SSA-based transgene elimination induced by the I-SceI-expressing trigger strains (G4), Nos-I-SceI and PUb-I-SceI.
| F2 Larval screeninga | |||||||
|---|---|---|---|---|---|---|---|
| Parental cross (♂30 × ♀100) | Lineage of the SSA triggerb | I-SceI inherited to F1 adults | c # Total | # WGR No DSB (kmoRG/Δ4) | # WG NHEJ (kmoG/Δ4) | # W kmo-null (kmoΔ4/Δ4) | # Blk SSA (kmo+/Δ4) |
| Nos-I-SceI x kmoRG | F0♂-F1♂ | + | 7,500 | 4,122 | 23 (0.56%) | 3,315 | 40 (0.97%) |
| – | 7,252 | 3,609 | 1 (0.03%) | 3,642 | 0 | ||
| F0♂-F1♀ | + | 2,588 | 1,608 | 9 (0.56%) | 957 | 14 (0.87%) | |
| – | 4,867 | 2,410 | 0 | 2,457 | 0 | ||
| F0♀-F1♂ | + | 7,828 | 4,268 | 74 (1.73%) | 3,380 | 106 (2.48%) | |
| – | 7,477 | 3,839 | 93 (2.42%) | 3,528 | 17 (0.44%) | ||
| F0♀-F1♀ | + | 4,676 | 2,722 | 36 (1.32%) | 1,835 | 83 (3.05%) | |
| – | 5,749 | 3,077 | 10 (0.32%) | 2,652 | 10 (0.32%) | ||
| PUb-I-SceI x kmoRG | F0♂-F1♂ | + | 494 | 310 | 0 | 184 | 0 |
| – | 1,211 | 617 | 0 | 594 | 0 | ||
| F0♂-F1♀ | + | 1,370 | 823 | 0 | 547 | 0 | |
| – | 2,904 | 1,473 | 0 | 1431 | 0 | ||
| F0♀-F1♂ | + | 1,850 | 1,133 | 0 | 717 | 0 | |
| – | 1,302 | 684 | 0 | 618 | 0 | ||
| F0♀-F1♀ | + | 1,450 | 820 | 0 | 630 | 0 | |
| – | 1,277 | 660 | 0 | 617 | 0 | ||
W, white eye; Blk, black eye; G, EGFP; R, DsRED; and B, BFP.
nos-driven germline cell-specific or PUb-driven ectopic expression of the HE, I-SceI.
The Mariner Mos1-based transgenic I-SceI allele, which is inherited from the parental SSA trigger strain, provides the eye-specific BFP fluorescence.
Mosquitoes scored as kmoG/Δ4 (NHEJ) and kmo+/Δ4 (SSA) were confirmed to be heterozygous for the kmo-null allele (Figure S4B, Supplementary Material). In addition, mosquitoes scored as kmoG/Δ4 were associated with a range of melt-curve profiles (Figure S4C, Supplementary Material), indicative of highly diversified indel mutations caused by the NHEJ pathway. Sequencing analysis of F2 mosquitoes scored as kmoG/Δ4 revealed that most indel mutations shifted the DsRED gene out-of-frame (Figure S4D, Supplementary Material). However, 1 kmoG/Δ4 group had a 12-bp in-frame deletion, yet was still scored as phenotypically DsRED-negative. Thus, while we anticipated missing about one-third of NHEJ events (in frame deletions that leave DsRED intact), the true number of missed events was likely less than that.
In homing-based gene drive, the conversion of wild-type alleles to transgenics must be a highly efficient process in order to sustain drive (4). However, according to our previous models (26), even low SSA efficiencies of 1%–3%, as shown in this study, should be sufficient to restore a population invaded by a homing-based gene drive transgene to a nontransgenic state. We sought to repeat this modeling effort using these experimentally determined rates of SSA and NHEJ (Fig. 3C), particularly since different rates were observed in male or female founders, a situation we did not explore previously. In each case, gene drive alleles are introduced at a starting frequency of 10% of the total population, and expected allele frequencies for transgene absent [wild type, SSA-restored, gene drive resistant-functional (r1), and gene-drive resistant-nonfunctional (r2)] and transgene containing [SSA-intact and SSA-failed] genotypes, are output each generation. For both homing gene drive into a relatively neutral location (only 5% fitness costs associated with the presence of each copy of the transgene; Fig 3C, top) or into a haplo-sufficient gene critical for female fertility (100% cost in females when 2 copies of the gene drive transgene are present; Fig 3C, bottom), rates of SSA and NHEJ we observed were predicted to be sufficient to effectively restore a nontransgenic state (Fig. 3C, cyan peak) following the initial invasion of the gene drive transgene (Fig. 3C, red peak). Similar to our previous results, the speed at which population-level transgene elimination occurred was inversely proportional to the cost inflicted by the gene drive transgene. Thus, targeting a low-cost genetic locus with self-eliminating gene drive was predicted to restore SSA-driven nontransgenic alleles up to ∼80% after 60 generations, while in the high-cost, female-lethal target the transgene was lost twice as fast (> 80% in 30 generations). In contrast, in the absence of any SSA the transgenes are predicted to remain in their respective populations at high levels in perpetuity in either gene drive approach (Figure S5, Supplementary Material).
As a preliminary test of these models, we allowed kmoRG mosquitoes to interbreed with Nos-I-SceI or PUb-I-SceI mosquitoes in order to observe if the SSA-based rescue system would be capable of removing transgenes from the kmoRG mosquito population over multiple generations (Fig. 4). To do this, we self-crossed F1 mosquitoes heterozygous for each transgene (SceI +/–/kmoRG/Δ4) inherited from an F0 cross between ♂ Nos-I-SceI or PUb-I-SceI and ♀ kmoRG mosquitoes (Fig. 4A and Table 1; Table S5, Supplementary Material). For each generation starting from F2, we hatched about 1,000–2,000 embryos and scored all pupae for eye pigmentation and fluorescence to determine DSB repair events, with all individuals placed into a large cage to establish the next generation (Fig. 4A). The cages were kept in complete darkness for 1 week to reduce any potential competitive advantage provided by those individuals with wild-type eye pigmentation during mating.
Fig. 4.
SSA enables progressive transgene elimination from cage populations of Ae. aegypti. (A) Schematic representation of the multigeneration SSA test. F1 mosquitoes (SceI +/–/kmoRG/Δ4) from a parental cross (Table 1; Table S5, Supplementary Material) of ♂ Nos-I-SceI x ♀ kmoRG or ♂ PUb-I-SceI x ♀ kmoRG were self-crossed. From F2 screening, DSB repair-associated marker phenotypes, % NHEJ (kmoG/Δ4/(kmoRG/Δ4 + kmoG/Δ4 + kmo+/Δ4), and % SSA (kmo+/Δ4/(kmoRG/Δ4 + kmoG/Δ4 + kmo+/Δ4), were scored for 1,000–2,000 pupae, and all of them were emerged in the same cage for the next generation, up to F5 or F6. (B)–(G) The multigeneration SSA tests using the SSA trigger strains at G4 (B)–(G) or G12 (E)–(G). Percentages of DNA repair pathway-dependent phenotypes were scored for the SSA trigger, Nos-I-SceI (B) and (E) or PUb-I-SceI (C) and (F), from the F2 generation. For the control experiment with PUb-I-SceI mosquitoes, black-eyed Lvp mosquitoes were added by equal numbers of mosquitoes identified as kmo+/Δ4 in Nos-I-SceI at the F2 generation [(C) and (F), blue arrows]. Frequencies of Nos-I-SceI or PUb-I-SceI were scored by the BFP+ percentages out of total pupae (D) and (G). Graphs represent data from 2 biological replicates for G4 (Table S6, Supplementary Material) and 3 biological replicates for G12 (Table S7, Supplementary Material).
For the Nos-I-SceI x kmoRG experiment initiated at the G4 generation with respect to the establishment of the Nos-I-SceI strain, 5 F2 individuals with wild-type black eyes (Blk) were identified from 765 kmoRG/Δ4 mosquitoes (0.7%), with the number of individuals with the restored phenotypes increasing by 10-fold when the experiment was concluded at F6 (Fig. 4B and Table S6, Supplementary Material). To determine whether this increase was due to new SSA events each generation or to a selective advantage provided by the restoration of kmo, we performed a parallel control experiment with PUb-I-SceI mosquitoes. As no SSA events were detected (as expected), this population was supplemented with the addition of 5 wild-type individuals at the F2 generation. No change in wild-type kmo allele frequency was observed in the PUb-I-SceI x kmoRG experiment (Fig. 4C; Table S6, Supplementary Material), indicating the increase in wild-type, nontransgenic alleles in the nos-I-SceI experiment appeared to be due to SSA-based repair of I-SceI-induced DSBs and not to any competitive advantage of the wild-type over their white-eyed relatives. However, when this multigeneration SSA test was repeated using the SSA trigger strains at the G12 generation, the frequencies of black-eyed individuals in the spike-in control cage populations were more variable (2–10-fold; Fig. 4E and F; Table S7, Supplementary Material). This surge of wild-type mosquitoes may be related to some early-emerging wild-type mosquitoes that dominate initial mating events in a highly closed environment of the caged population, as the mating competition tests did not show any kmo-associated advantage of wild-type mosquitoes for producing progeny under the experimental conditions used (Figure S6, Supplementary Material). Thus, while at this point we cannot separate the precise contributions of SSA/selection in increasing the frequency of the wild-type trait, these results confirm that SSA can generate a sufficient number of wild-type individuals to allow selection to act.
Interestingly, the frequency of restored wild-type individuals increased much faster in the G12 experiment (30%–40% at F5) as compared to the G4 experiment (less than 10% at F6). One potential explanation for this is due to greater exposure to the I-SceI nuclease [average allele frequency was 44.2% in experiment 1 (G4), and 67% in experiment 2 (G12; Fig. 4D and G)]. This suggests that with complete linkage (allele frequency 100%) with the I-SceI transgene if encoded at the target locus itself, the frequency of DSB induction, and hence repair could likely be even higher than the current split-type system, where the nuclease and the target transgene are engineered in independent strains at different genomic loci and trigger DSBs only when both components are transmitted together. Compared to SSA-associated alleles (kmo+/Δ4), NHEJ-driven indels in DsRED (kmoG/Δ4 and kmoG/+) were shown to occur at lower frequencies (average ∼1%; Fig. 4B and E; Tables S6 and S7, Supplementary Material) and while these events were also identified in the kmoRG group every generation (kmoG/RG), they did not increase over time (Figure S7, Supplementary Material). Taken together, we conclude that nos-driven I-SceI expression can reliably induce the removal of transgene sequences, and the resulting SSA-repair can faithfully restore the disrupted gene in Ae. aegypti.
Discussion
While technical improvements in gene drive transgenes continue to accumulate in laboratory-based experiments, their impacts on local environments and the ultimate behavior of these technologies in field-based settings remains unknown. Despite great promise in the fight against malaria and other vector-borne diseases, these uncertainties are of concern to relevant stakeholders, with evidence demonstrating that such concerns are somewhat eased by making gene drive transgenes reversable or limited (19–21). Self-limiting and confinable gene drive systems (i.e. split drive and daisy-chain drive) and CRISPR-gene drive brake systems (i.e. CATCHA, ERACR, eCHACR, and anti-CRISPR protein) have been evaluated in laboratory settings to halt the gene drive process, but not to erase the transgene itself from the test field (10, 22–25).
Our current work suggests a potential role for an SSA-based rescue strategy in removing transgenic gene cassettes in the targeted population by both removing the effector gene, while simultaneously restoring a wild-type allele from the gene drive allele. A single component system consisting of both a homing-based gene drive and an SSA-based self-elimination mechanism at a single locus is predicted to allow the temporary invasion of a gene drive transgene (allowing potential field testing), with SSA-triggered reversion to wild-type occurring with no need for remediation such as the inundated release of wild-type strains (26). This suggests an alternative in how gene drive field trials could be conceptualized, from a single trial format where uncertainty is highest and removal/reversal of the gene drive transgene may not be possible, to a 2-step format (Fig. 5). Here, an initial trial is performed with the gene drive transgene bounded by the SSA-elimination mechanism. Whether the trial concludes as planned, is interrupted, or is stopped prematurely, the population reverts back to a nontransgenic state, eliminating the engineered transgenes and leaving just silent or neutral variants expected to mimic naturally occurring variants. While the recoding of the homing target site prevents a reuse of an identical gene drive transgene, it also creates a novel private allele (43, 44) that can be exploited by a second gene drive used in the next step (Fig. 5). Given the ease of generating new gRNAs for CRISPR/Cas9 systems, this is likely to be trivial. Since the recoded target region is predefined, both GDn and GDn+1 could be prevalidated in laboratory trials at the same time, while the dependence on the recoded allele would put strict spatial limitations on the spread of the gene drive transgene during the long-term phase.
Fig. 5.

A 2-step process for field-based evaluation of gene drive transgenes. In step 1, risk assessment, engagement activities, and regulatory decisions for an initial trial would be based on a self-eliminating gene drive approach (GDn), at the end of which the target population would return to a nontransgenic state and be resistant to the gene drive transgene used (GD-r). The outputs from this limited trial would inform risk assessment, engagement, and regulatory actions regarding proceeding to step 2 using a second gene drive transgene (GDn+1), where SSA-based limitations may no longer be needed. Importantly, GDn+1 would not be able to spread to any area that did not receive the first GD, since the recoded target site would not be present. For all practical purposes, GDn and GDn+1 would be highly similar, potentially differing only in the gRNAs used to generate the DSB (arrows) and the corresponding recoded HA (green).
We note, however, that this technology is not limited to CRISPR homing drives, and would allow any transgene to be degradable by itself. Thus, SSA-based transgenes could also be incorporated into almost all transgenesis-based genetic control approaches, including split drive (10), daisy-chain drive (22), ClvR (45), Medea (46), and toxin-antidote (47) that utilizes composite interactions of multiple transgenes, potentially shortening the lifespan of 1 or more components. In addition, the recoded allele generated by SSA might be considered an end in and of itself. For example, host factors required by malaria parasites or arboviruses could be potentially recoded in a manner that preserves their cellular functions but prevents their exploitation by these pathogens (Figure S8A, Supplementary Material). Thus, population replacement approaches might be possible that do not rely on the long-term presence of engineered transgenes. Similarly, SSA-based elimination could be designed to remove only critical elements of the gene drive transgene, while leaving associated antipathogen cargo genes in place (Figure S8B, Supplementary Material). Finally, recoding of the gene drive target sites is needed not just to prevent reinvasion of the gene drive transgene, but to restrict competition between the engineered direct repeat and the preferred HA during the process of homing (Figure S8C, Supplementary Material), which could otherwise short-circuit the gene drive process and prematurely restrict the spread of the transgene. An analysis by Lopez del Amo et al. (48) indicated that even disruptions in homology of as few as 20 bps from each end at the break site substantially reduce homing rates, indicating that this unwanted competition could be prevented.
While the rates of successful transgene removal via SSA and the rates of competing NHEJ we observed varied from 0.5% to 3%, nonetheless these values are anticipated to be sufficient to counteract homing-based gene drive approaches. In fact, the SSA rate we observe may be relatively close to optimal as substantially higher SSA activity may destabilize the gene drive transgene prematurely and lead to the establishment of SSA-resistant transgenes (26). Given this, we anticipate several parameters that could be optimized for better efficiency of transgene removal (i.e. the choice between SSA and NHEJ outcomes), such as the length and spacing of the DR, the type, timing, and expression level of the nuclease used, and the number of DSBs induced and their proximity to the DRs. For example, the efficiency of SSA-based repair is dependent on the lengths of DRs, and it is also preferred when DSBs are closest to DRs (49, 50). Our results revealed that ∼0.7 kb of DRs were able to delete ∼3.7 kb of the intervening genes in a heritable manner in Ae. aegypti, when the I-SceI-digested DSB was induced at 327 bp away from 1 of the DR sequences. Determining the optimal length of DR and its distance to the DSB according to the gene drive cargo sizes would be required in the application of this technology. While here I-SceI was successfully engineered to induce germline-specific DSBs to activate SSA, other HEs such as I-AniI and I-CreI have also been to catalyze DSBs in the Ae. aegypti genome (35, 51); alternatively, independent sgRNAs could be included to those used to catalyze the process of gene drive. In addition, tissue- or cell-specific expression of the endonuclease may be critical for optimal SSA-based repair.
In conclusion, our study demonstrates that the core molecular elements of SSA, 2 flanking DRs (kmo), and a cargo-specific DSB by I-SceI, are effective for erasing 2 transgenes (DsRED and EGFP) from a GM mosquito strain. More interestingly, these SSA motifs were able to restore the transgene-inserted kmo allele flawlessly, and thereby, rescue the wild-type phenotypic trait. This seamless recovery of the targeted gene persistently occurred across multiple generations by nos-driven germline-specific SSA activation. As SSA-based repair is shared by diverse organisms; Drosophila melanogaster (52), Ae. aegypti (35), Saccharomyces cerevisiae (34), Arabidopsis thaliana (53), Caenorhabditis elegans (54), and mammalian cells (33), this rescue technology should be amenable for potentially broad applications with a species-specific, spatial-temporal activation control.
Materials and Methods
Mosquito rearing
The Ae. aegypti Liverpool wild-type strain (Lvp), the TALEN-generated kmo-null mutant strain (kmoΔ4/Δ4) (40), and all transgenic strains were maintained at 27°C and 70% (±10%) relative humidity, with a day/night cycle of 14 hours light and 10 hours dark. Larvae were fed on ground dry fish food (Tetra), and adult mosquitoes were fed on 10% sucrose solution. The mated females were fed on defibrinated sheep blood (Colorado Serum Company) using the artificial membrane feeder.
Subcloning
To generate pSSA-KmoDR0.7, the donor DNA for kmoRG, 3 plasmids (pGSP1-KmoHA1-DR0.7, pGSP2.3-DsRED-SV40, and pGSP3.8C-EGFP-KmoHA2) were modified from the synthesized plasmid templates (GenScript) and assembled by Golden Gate Assembly (NEB). pGSP1-KmoHA1-DR0.7 contained kmo exon4/5 (HA1) and kmo exon2/3 (HA2), direct repeat [DR]). pGSP2.3-DsRED-SV40 encoded 3xP3-DsRED-SV40, in which the HE I-SceI recognition site (5“-TAGGGATAACAGGGTAAT-3”) was engineered in-frame next to the ATG translation start codon of DsRED. pGSP3.8C-EGFP-KmoHA2 included the PUb-EGFP-SV40 and kmo exon2/3 (HA2, DR). For the donor DNA for kmoEGFP, Golden Gate Assembly using pGSP1-KmoHA1, pGSP2-REDh-SV40, and pGSP3.8C-EGFP-KmoHA2 generated pBR-KmoEx4. pGSP1-KmoHA1 was made by replacing the kmo exons 2-to-5 sequence in pGSP1-KmoHA1-DR0.7 with the KpnI-AgeI fragment of kmo exon4/5. pGSP2-REDh-SV40 was modified from pGSP2.3-DsRED-SV40 by removing the AscI and SbfI fragment of the 3xP3 promoter and the 5'-half of DsRED containing the I-SceI site. Sequential blunting and ligation of both enzyme-cut ends (AscI and SbfI) created the sgRNA-HybRED site that is unique to REDh.
To generate I-SceI-expressing transgenic strains, Mos1-based plasmid constructs were assembled with I-SceI under the control of several promoters known to function in Ae. aegypti; nos (41, 55), β2-tublin (56), PUb (37, 42), and Hsp70A (37, 42). In total, 2 steps were taken for assembling the donor plasmid constructs. First, the MluI-BamHI fragment of nos (∼1.56 kb) or β2-tublin (∼1.0 kb) promoter, the BamHI-SalI fragment of the I-SceI coding region (∼0.85 kb), and the NotI-EcoRI fragment of nos (∼0.5 kb) or β2-tublin (∼0.2 kb) 3“-UTR were obtained by PCR amplifications using primer sets providing the corresponding enzyme sites (Table S2, Supplementary Material) and sequentially assembled into a universal insect plasmid backbone pSLfa-PUb-mcs (Addgene #52908) to generate pSLfa-Nos-I-SceI or pSLfa-β2T-I-SceI. For pSLfa-PUb-I-SceI, the I-SceI coding sequence was ligated to BamHI and SalI sites in pSLfa-PUb-mcs. For pSLfa-Hsp70A-I-SceI, the MluI-NcoI fragment of Hsp70A promoter (∼1.5 kb) was replaced for PUb promoter (∼1.4 kb) in pSLfa-PUb-I-SceI. Second, the whole DNA piece of Promoter-I-SceI-3'-UTR was taken out from the individual pSLfa-based plasmid construct and inserted to MluI and EcoRI sites in pM2-3xP3-BFP, a Mariner Mos1-based plasmid backbone. Complete sequences of plasmid constructs (pBR-KmoEx4, pSSA-KmoDR0.7, and pM2-3xP3-BFP-Nos-I-SceI) used to generate transgenic mosquito lines are deposited as Supplementary Files (S1–S3).
Generation of kmoEGFP and kmoRG strains
Site-specific integrations at the Ae. aegypti kmo site were obtained by microinjection into preblastoderm embryos as previously described (57–59). For the kmoEGFP strain, the injection mix included 0.4 µg/µl of CRISPR/Cas9 enzyme (PNA Bio), 0.1 µg/µl of sgRNA-KmoEx4, and 0.3 µg/µl of donor plasmid pBR-KmoEx4 was microinjected to the Lvp wild-type embryos. The G2 kmoEGFP strain was utilized as a recipient for a second round of microinjections using sgRNA-HybRED, Cas9, and pSSA-KmoDR0.7 (same concentrations as above) to generate the kmoRG strain. Chromosomal integration of the transgenes at the kmo locus was confirmed by PCR analysis using genomic DNAs purified from a single G2 individual larva as the template and a primer set that is specific to the transgene or kmo (Fig. 1D; Table S2, Supplementary Material). PCR was performed using the Phusion High-Fidelity DNA polymerase (NEB) for 35 cycles: 95°C for 30 seconds, 58°C for 30 seconds, and 72°C for 2 minutes.
Generation of MOS-I-SceI strains
To generate transgenic strains expressing I-SceI, each donor plasmid (0.5 µg/µl), pMOS-3xP3-BFP-Nos-I-SceI, pMOS-3xP3-BFP-β2T-I-SceI, pMOS-3xP3-BFP-PUb-I-SceI, or pMOS-3xP3-BFP-Hsp70A-I-SceI, was microinjected into preblastoderm embryos of the kmo-null (kmoΔ4/Δ4) strain (40), along with the Mos1 helper plasmid (0.2 µg/µl), pKhsp82M (60). For BFP-positive transgenic mosquitoes, transposon–chromosome junction sequences were identified by inverse PCR using Sau3AI-digested genomic DNA and primers indicated in Figure S3A and Table S2 (Supplementary Material). For the evaluation of I-SceI transcripts, total RNA was extracted from 200 embryos at 24 hours after oviposition using the Trizol reagent (Invitrogen). First-strand cDNAs were synthesized from 1 µg of total RNAs using the SuperScript IV VILO Reverse Transcription Kit (Life Technologies). To amplify the transcript-derived cDNA of I-SceI, PCR was performed using the Q5 High-Fidelity DNA polymerase (NEB) and I-SceI gene-specific primers (Table S2, Supplementary Material) with 35 cycles; 95°C for 30 seconds, 60°C for 30 seconds, and 72°C for 1 minute.
Single-generation SSA tests
For experiments using a plasmid-based source of I-SceI, 0.5 µg/µl of pSLfa-PUb-SceI (61) was microinjected into kmoRG recipient embryos obtained from parental self-crossing between heterozygous mosquitoes. Since a mixture of transgenic (75%) and nontransgenic (25%) offspring were expected from this cross, only EGFP+/DsRED+ survivors were further outcrossed to the kmoΔ4 strain. G1 larvae were scored for either white or black eyes under visible light, and for eye-specific DsRED or whole body EGFP fluorescence using the appropriate excitation/emission filters. For experiments using the germline-based I-SceI transgenic strains, homozygous kmoRG mosquitoes were reciprocally crossed with the Nos-I-SceI or PUb-I-SceI mosquitoes in a cage of 30 males and 100 females at G4 or 20 males and 50 females in triplicate at G12. A total of 50 male or female F1 progenies (Kmo–/EGFP+/DsRED+/BFP+; SceI +/–/kmoRG/Δ4) were outcrossed with the kmoΔ4 strain in a ♂: ♀ ratio of 1:3. Female mosquitoes were blood-fed 3 times, and all subsequent embryos were hatched for F2 larval screening.
Multigeneration SSA test
Thirty Nos-I-SceI or PUb-I-SceI males were crossed with 100 kmoRG females, to establish each F0 cage. Only individuals scored positive for all marker phenotypes (Kmo–/EGFP+/DsRED+/BFP+; SceI +/–/kmoRG/Δ4) were selected for the F1 cage of 50 males and 150 females. For each generation from F2, approximately 1,000–2,000 embryos were hatched for phenotypic examinations. In the control cage with PUb-I-SceI, we added the same numbers of wild-type individuals as identified in Nos-I-SceI at the F2 generation. Male or female pupae were first separated based on eye pigmentation [black-eyed (kmo-haplosufficient) or white-eyed (kmo-knockout)]. Pupae were next screened for EGFP (G) and DsRED (R) fluorescence to identify kmoΔ4/+, kmoRG/+, kmoG/+, kmoΔ4/Δ4, kmoRG/Δ4, and kmoG/Δ4. All groups were then subsequently screened for BFP to track the frequency of the I-SceI transgene in each phenotypic group. Once scored, all pupae regardless of phenotype were placed in cages for the next generation. Both male and female pupae were kept in complete darkness for 1 week, when the adults emerged and completed mating, to reduce any competitive advantage provided by those individuals with wild-type eye pigmentation during mating, after which they were returned to the normal day/night light cycle.
Mating competition assay
To determine eye color-dependent mating efficiency, we set up 3 replicates of mating enclosures (46 oz. food cups), each of which contains 25 wild-type (kmo+/+) males, 25 kmo-null (kmoΔ4/Δ4) males, and 50 virgin kmo-null (kmoΔ4/Δ4) females at 28°C, 85% humidity, and a light intensity of ∼12 lux. To give all males an equal opportunity to mate, the 2 male groups were put into the enclosure prior to introduction of females. The females were individually oviposited in 3 days postblood-feeding by the EAgaL plate method (62), and the eggs per female were hatched for independent larval scoring of eye pigmentation.
Supplementary Material
Acknowledgments
Illustrations in Figure S6 (Supplementary Material) were generated using BioRender.com through a license to Texas A&M University.
Notes
Competing Interest: ZNA and KMM are co-inventors of technologies regarding self-eliminating transgenes [TAMC:054USP2].
Contributor Information
Keun Chae, Department of Entomology, Texas A&M University, College Station, TX 77843, USA.
Chanell Dawson, Department of Entomology, Texas A&M University, College Station, TX 77843, USA.
Collin Valentin, Department of Entomology, Texas A&M University, College Station, TX 77843, USA.
Bryan Contreras, Department of Entomology, Texas A&M University, College Station, TX 77843, USA.
Josef Zapletal, Department of Industrial and Systems Engineering, Texas A&M University, College Station, TX 77843, USA.
Kevin M Myles, Department of Entomology, Texas A&M University, College Station, TX 77843, USA.
Zach N Adelman, Department of Entomology, Texas A&M University, College Station, TX 77843, USA.
Funding
This work was supported by the Defense Advanced Research Projects Agency under Grant (HR0011-16-2–0036) and the National Institutes of Health under Vector Biology Grant (1R01AI148787-01A1).
Authors' Contributions
K.C. and Z.N.A. designed the research and wrote the manuscript; K.M.M. revised the manuscript; K.C. designed the research, performed experiments, analyzed the data and wrote the manuscript; C.D. performed the SSA tests; C.D. and C.V. participated in establishing the transgenic strains; B.C. performed the mating competition tests; and J.Z. developed the model simulations.C.D., C.V. and B.C performed experiments and analyzed data; J.Z. developed the model simulations, K.M.M. designed the research and revised the manuscript; Z.N.A. designed the research, analyzed the data and revised the manuscript. All authors approved the final manuscript.
Data availability
All data are presented within the manuscript or are available in the Supplementary Material.
References
- 1. Alphey L. 2016. Can CRISPR-Cas9 gene drives curb malaria?. Nat Biotechnol. 34: 149–150. [DOI] [PubMed] [Google Scholar]
- 2. Burt A. 2014. Heritable strategies for controlling insect vectors of disease. Philos Trans R Soc B Biol Sci. 369:20130432. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3. Sinkins SP, Gould F. 2006. Gene drive systems for insect disease vectors. Nat Rev Genet. 7:427–435. [DOI] [PubMed] [Google Scholar]
- 4. Burt A. 2003. Site-specific selfish genes as tools for the control and genetic engineering of natural populations. Proc R Soc B Biol Sci. 270:921–928. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5. Gantz VM, et al. 2015. Highly efficient Cas9-mediated gene drive for population modification of the malaria vector mosquito Anopheles stephensi. Proc Natl Acad Sci USA. 112:E6736–E6743. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6. Hammond A, et al. 2016. A CRISPR-Cas9 gene drive system targeting female reproduction in the malaria mosquito vector Anopheles gambiae. Nat Biotechnol. 34:78–83. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7. Kyrou K, et al. 2018. A CRISPR–Cas9 gene drive targeting doublesex causes complete population suppression in caged Anopheles gambiae mosquitoes. Nat Biotechnol. 36:1062–1071. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8. Carballar-Lejarazú R, et al. 2020. Next-generation gene drive for population modification of the malaria vector mosquito, Anopheles gambiae. Proc Natl Acad Sci USA. 117:22805–22814. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9. Simoni A, et al. 2020. A male-biased sex-distorter gene drive for the human malaria vector Anopheles gambiae. Nat Biotechnol. 38:1054–1060. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10. Li M, et al. 2020. Development of a confinable gene drive system in the human disease vector Aedes aegypti. Elife. 9:e51701. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11. Noble C, Adlam B, Church GM, Esvelt KM, Nowak MA. 2018. Current CRISPR gene drive systems are likely to be highly invasive in wild populations. Elife. 7:e33423. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12. Devos Y, et al. 2021. Gene drive-modified organisms: developing practical risk assessment guidance. Trends Biotechnol. 39:53–856. [DOI] [PubMed] [Google Scholar]
- 13. James SL, Marshall JM, Christophides GK, Okumu FO, Nolan T. 2020. Toward the definition of efficacy and safety criteria for advancing gene drive-modified mosquitoes to field testing. Vector Borne Zoonotic Dis. 20:237–251. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14. Oye KA, et al. 2014. Regulating gene drives. Science. 345:626–628. [DOI] [PubMed] [Google Scholar]
- 15. Akbari OS, et al. 2015. Safeguarding gene drive experiments in the laboratory: multiple stringent confinement strategies should be used whenever possible. Science. 349:927–929. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16. Adelman Z, et al. 2017. Rules of the road for insect gene drive research and testing. Nat Biotechnol. 35:716–718. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17. Kaebnick GE, et al. 2016. Precaution and governance of emerging technologies. Science. 354:710–711. [DOI] [PubMed] [Google Scholar]
- 18. James S, et al. 2018. Pathway to deployment of gene drive mosquitoes as a potential biocontrol tool for elimination of malaria in sub-Saharan Africa: recommendations of a scientific working group. Am J Trop Med Hyg. 98:1–49. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19. Jones MS, Delborne JA, Elsensohn J, Mitchell PD, Brown ZS. 2019. Does the U.S. public support using gene drives in agriculture? And what do they want to know?. Sci Adv. 5:eaau8462. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20. Hartley S, et al. 2021. Ugandan stakeholder hopes and concerns about gene drive mosquitoes for malaria control: new directions for gene drive risk governance. Malar J. 20:149. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21. Goldsmith C, et al. 2021. Stakeholder views on engagement, trust, performance, and risk considerations about use of gene drive technology in agricultural pest management. Heal Secur. 20:6–15. [DOI] [PubMed] [Google Scholar]
- 22. Noble C, et al. 2019. Daisy-chain gene drives for the alteration of local populations. Proc Natl Acad Sci USA.116:8275–8282. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23. Xu XRS, et al. 2020. Active genetic neutralizing elements for halting or deleting gene drives. Mol Cell.80:246–262.e4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24. Wu B, Luo L, Gao XJ. 2016. Cas9-triggered chain ablation of cas9 as a gene drive brake. Nat Biotechnol. 34:137–138. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25. Taxiarchi C, et al. 2021. A genetically encoded anti-CRISPR protein constrains gene drive spread and prevents population suppression. Nat Commun. 12:3977. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26. Zapletal J, et al. 2021. Making gene drive biodegradable. Philos Trans R Soc Lond B Biol Sci. 376:20190804. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27. Overcash JM, Aryan A, Myles KM, Adelman ZN. 2015. Understanding the DNA damage response in order to achieve desired gene editing outcomes in mosquitoes. Chromosom Res. 23:31–42. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28. Marini F, Rawal CC, Liberi G, Pellicioli A. 2019. Regulation of DNA double strand breaks processing: focus on barriers. Front Mol Biosci. 6:55. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29. Liu T, Huang J. 2016. DNA end resection: facts and mechanisms. Genomics Proteomics Bioinforma. 14:126–130. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30. Chang HHY, Pannunzio NR, Adachi N, Lieber MR. 2017. Non-homologous DNA end joining and alternative pathways to double-strand break repair. Nat Rev Mol Cell Biol. 18:495–506. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31. Williams GJ, et al. 2014. Structural insights into NHEJ: building up an integrated picture of the dynamic DSB repair super complex, one component and interaction at a time. DNA Repair. 17:110–120. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32. Canny MD, et al. 2018. Inhibition of 53BP1 favors homology-dependent DNA repair and increases CRISPR-Cas9 genome-editing efficiency. Nat Biotechnol. 36:95–102. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33. Lin FL, Sperle K, Sternberg N. 1984. Model for homologous recombination during transfer of DNA into mouse L cells: role for DNA ends in the recombination process. Mol Cell Biol. 4:1020–1034. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34. Ivanov EL, Sugawara N, Fishman-Lobell J, Haber JE. 1996. Genetic requirements for the single-strand annealing pathway of double-strand break repair in Saccharomyces cerevisiae. Genetics. 142:693–704. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35. Aryan A, Anderson MAE, Myles KM, Adelman ZN. 2013. Germline excision of transgenes in Aedes aegypti by homing endonucleases. Sci Rep. 3:1603. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36. Berghammer AJ, Klingler M, Wimmer EA. 1999. A universal marker for transgenic insects. Nature. 402:370–371. [DOI] [PubMed] [Google Scholar]
- 37. Anderson MAE, Gross TL, Myles KM, Adelman ZN. 2010. Validation of novel promoter sequences derived from two endogenous ubiquitin genes in transgenic Aedes aegypti. Insect Mol Biol. 19:441–449. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38. Cornel AJ, Benedict MQ, Salazar Rafferty C, Howells AJ, Collins FH. 1997. Transient expression of the Drosophila melanogaster cinnabar gene rescues eye color in the white eye (WE) strain of Aedes aegypti. Insect Biochem Mol Biol. 27:993–997. [DOI] [PubMed] [Google Scholar]
- 39. Han Q, et al. 2003. Analysis of the wild-type and mutant genes encoding the enzyme kynurenine monooxygenase of the yellow fever mosquito, Aedes aegypti. Insect Mol Biol. 12:483–490. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40. Aryan A, Anderson MAE, Myles KM, 2013. TALEN-based gene disruption in the dengue vector Aedes aegypti. PLoS ONE. 8:e60082. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41. Adelman ZN, et al. 2007. Nanos gene control DNA mediates developmentally regulated transposition in the yellow fever mosquito Aedes aegypti. Proc Natl Acad Sci USA.104:9970–9975. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42. Carpenetti TLG, Aryan A, Myles KM, Adelman ZN. 2012. Robust heat-inducible gene expression by two endogenous hsp70-derived promoters in transgenic Aedes aegypti. Insect Mol Biol.21:97–106. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43. Willis K, Burt A. 2021. Double drives and private alleles for localised population genetic control. PLoS Genet. 17:e1009333. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44. Sudweeks J, et al. 2019. Locally fixed alleles: a method to localize gene drive to island populations. Sci Rep. 9:15821. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45. Oberhofer G, Ivy T, Hay BA. 2019. Cleave and rescue, a novel selfish genetic element and general strategy for gene drive. Proc Natl Acad Sci USA. 116:6250–6259. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46. Chen CH, et al. 2007. A synthetic maternal-effect selfish genetic element drives population replacement in Drosophila. Science. 316:597–600. [DOI] [PubMed] [Google Scholar]
- 47. Champer J, et al. 2020. A toxin-antidote CRISPR gene drive system for regional population modification. Nat Commun. 11:1082. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48. López Del Amo V, et al. 2020. A transcomplementing gene drive provides a flexible platform for laboratory investigation and potential field deployment. Nat Commun. 11:352. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49. Sugawara N, Ira G, Haber JE. 2000. DNA length dependence of the single-strand annealing pathway and the role of Saccharomyces cerevisiae RAD59 in double-strand break repair. Mol Cell Biol. 20:5300–5309. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50. Sugawara N, Haber JE. 1992. Characterization of double-strand break-induced recombination: homology requirements and single-stranded DNA formation. Mol Cell Biol. 12:563 LP–563 575. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51. Stoddard BL. 2011. Homing endonucleases: from microbial genetic invaders to reagents for targeted DNA modification. Structure. 19:7–15. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52. Do AT, Brooks JT, Le Neveu MK, LaRocque JR. 2014. Double-strand break repair assays determine pathway choice and structure of gene conversion events in Drosophila melanogaster. G3 Genes Genomes Genet. 4:425–432. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53. Orel N, Kyryk A, Puchta H. 2003. Different pathways of homologous recombination are used for the repair of double-strand breaks within tandemly arranged sequences in the plant genome. Plant J. 35:604–612. [DOI] [PubMed] [Google Scholar]
- 54. Pontier DB, Tijsterman M. 2009. A robust network of double-strand break repair pathways governs genome integrity during C. elegans development. Curr Biol. 19:1384–1388. [DOI] [PubMed] [Google Scholar]
- 55. Calvo E, et al. 2005. Nanos (nos) genes of the vector mosquitoes, Anopheles gambiae, Anopheles stephensi and Aedes aegypti. Insect Biochem Mol Biol. 35:789–798. [DOI] [PubMed] [Google Scholar]
- 56. Smith RC, Walter MF, Hice RH, O'Brochta DA, Atkinson PW. 2007. Testis-specific expression of the β2 tubulin promoter of Aedes aegypti and its application as a genetic sex-separation marker. Insect Mol Biol. 16:61–71. [DOI] [PubMed] [Google Scholar]
- 57. Aryan A, Myles KM, 2014. Targeted genome editing in Aedes aegypti using TALENs. Methods. 69:38–45. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58. Kistler KE, Vosshall LB, Matthews BJ. 2015. Genome engineering with CRISPR-Cas9 in the mosquito Aedes aegypti. Cell Rep. 11:51–60. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59. Basu S, Aryan A, Haac ME, Myles KM, Adelman ZN. 2016. "Methods for TALEN evaluation, use, and mutation detection in the mosquito Aedes aegypti”. In: Methods in molecular biology. Totowa (NJ): Humana Press. p. 157–177. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60. Coates CJ, Turney CL, Frommer M, O'Brochta DA, Atkinson PW. 1997. Interplasmid transposition of the mariner transposable element in non-Drosophilid insects. Mol Gen Genet. 253:728–733. [DOI] [PubMed] [Google Scholar]
- 61. Traver BE, Anderson MAE, Adelman ZN. 2009. Homing endonucleases catalyze double-stranded DNA breaks and somatic transgene excision in Aedes aegypti. Insect Mol Biol. 18:623–633. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62. Tsujimoto H, Adelman ZN. 2021. Improved fecundity and fertility assay for Aedes aegypti using 24 well tissue culture plates (Eagal plates). J Vis Exp. 2021:34028425. [DOI] [PubMed] [Google Scholar]
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Data Availability Statement
All data are presented within the manuscript or are available in the Supplementary Material.




