Abstract
Zika virus (ZIKV) outbreaks pose a massive public health threat in several countries. We have developed an in vivo model to investigate the host–ZIKV interaction in Drosophila. We have found that a strain of ZIKV replicates in wild-type flies without reducing their survival ability. We have shown that ZIKV infection triggers RNA interference and that mutating Dicer-2 results in enhanced ZIKV load and increased susceptibility to ZIKV infection. Using a flavivirus-specific Ab, we have found that ZIKV is localized in the gut and fat body cells of the infected wild-type flies and results in their perturbed homeostasis. In addition, Dicer-2 mutants display severely reduced insulin activity, which could contribute toward the increased mortality of these flies. Our work establishes the suitability of Drosophila as the model system to study host–ZIKV dynamics, which is expected to greatly advance our understanding of the molecular and physiological processes that determine the outcome of this disease.
This article is featured in In This Issue, p.2853
Introduction
Zika virus (ZIKV) is a hitherto understudied member of the Flaviviridae, a viral family that also includes yellow fever, West Nile virus (WNV), and dengue virus (DENV) (1). In recent years, because of the wide geographical distribution of the mosquito vector, ZIKV suddenly expanded its range dramatically, and severe outbreaks appeared in the Americas and other parts of the world (2). Being a vector-borne virus, ZIKV-induced outbreaks are difficult to control. As vector control is the only viable alternative for alleviating the disease, a thorough understanding of host–ZIKV interaction is critical. Thus, there is an urgent need to develop an in vivo model for identifying and characterizing the number and types of molecular components that directly or indirectly participate in the host immune response against ZIKV. Because host innate immune responses are evolutionary conserved across many phyla (3), investigating the effect of ZIKV infection on the immune signaling and function of animal models will be particularly insightful because it could potentially lead to the identification of anti-ZIKV immune mechanisms in humans.
The use of the fruit fly Drosophila melanogaster has led to significant advances in the characterization of the molecular events leading to the activation of immune responses against infectious microorganisms, including viral pathogens (4, 5). Apart from those viruses that naturally infect Drosophila (6), previous work indicates that the fly is also a suitable model for dissecting host interactions with human pathogenic viruses including ZIKV (7, 8). Drosophila, for instance, was instrumental in deciphering antiviral immune mechanisms against Sindbis virus (SINV), vesicular stomatitis virus (VSV), and WNV and, in particular, the importance of RNA interference (RNAi) against these viruses (9–11). Apart from unraveling the cellular and molecular basis of antiviral immunity, Drosophila is also a suitable model for understanding host–virus interaction and the associated pathology (12, 13). Few compelling evidences further indicate that Drosophila can be a reliable model to analyze virus tropism (14). The insect-specific viruses Drosophila C virus (DCV) and Flock House virus (FHV), for example, have been shown to infect the fat body, digestive tract, trachea, and egg chamber, which results in infection-induced pathologies (12, 15, 16). These findings are of paramount importance to elucidate the physiological mechanisms that regulate the complex interactions between insects and viral pathogens. Comparative genomics studies have addressed the conservation between Drosophila and mosquitoes and shown that Drosophila developmental genes are largely conserved in three vector mosquito species (17). Deciphering the complete genome sequences of the mosquito vectors Anopheles gambiae and A. aegypti has enabled the identification and comparison of antiviral immune genes like Dicer-2 and Ago-2 (18–20). In the context of host pathology, forward genetic screens in Drosophila have identified genes regulating Plasmodium growth in A. gambiae (21). Therefore, molecular and functional characterization of innate immune factors acting against ZIKV and the consequent ZIKV-induced pathogenesis will potentially lead to a comprehensive understanding of the host–ZIKV interactions, which in turn will potentially lead to novel strategies for blocking ZIKV transmission.
In the absence of a classical adaptive immune system, Drosophila relies on innate defenses for immunity against viral infections. For instance, the Toll, immune deficiency (Imd), and JAK/STAT signaling pathways in Drosophila participate in antiviral responses; however, each of those pathways confers antiviral effects against certain viruses (22–24). The central antiviral immune response in the fly involves the RNAi mechanism, a conserved sequence-specific nucleic acid–based immune defense that is induced by dsRNA. In Drosophila, RNAi involves the RNase Dicer-2 that recognizes and cleaves dsRNA to generate viral small interfering RNAs (siRNAs) (25, 26). These siRNAs are loaded onto Argonaute-2 (Ago-2) and guide the RNA-induced silencing complex (RISC) to complementary RNAs in the cell, leading to their sequence-specific degradation (27, 28). RNAi mediates a strong antiviral response against a range of viruses in Drosophila (5, 7, 23, 29–32). Upon infection with RNA viruses, Drosophila Dicer-2 and Ago-2 null mutants display a substantial increase in viral replication and rapid decrease in survival (11, 30–33). The major importance of RNAi in host antiviral defense is further reinforced by the identification of viral proteins that act in vivo as suppressors of this mechanism (31, 33–35).
We have developed an in vivo model for studying the molecular basis of the host immune response to ZIKV infection and the occurring pathophysiological defects. We show that Drosophila flies are able to support ZIKV replication, which leads to the activation of stress-induced genes Turandot (Tot) and Diedel and induction of the RNAi pathway. We find that the two central mediators in RNAi, Ago-2 and Dicer-2, have differential functions in the context of ZIKV infection. Although Ago-2 is dispensable, Dicer-2 regulates ZIKV replication and renders resistance to infection. In addition, we find that ZIKV exhibits tissue tropism by infecting the fat body, crop, and gut, of the adult fly. The tissue-specific infiltration of ZIKV results in local pathologies marked by perturbed homeostasis of the gut and the fat body lipid droplets (LDs). We further find that the ZIKV-mediated perturbed homeostasis is aggravated in Dicer-2 mutants along with severely reduced insulin signaling resulting in significantly increased sensitivity to the infection. These are important findings because they demonstrate that using the Drosophila–ZIKV model enables the identification of host factors with anti-ZIKV immune activity and allows the characterization of tissue-specific effects that occur in the host during the infection process.
Materials and Methods
Fly stocks
The following fly lines were used: w1118 (wild-type and background control), Ago-2414, the null allele Ago-2321 in trans to Df[BSC558] (36), Dicer-2R461× (37), Dicer-2L811fsX (37) compared with rescue with a Dicer-2 genomic transgene (BL33053), and esg-Gal4 (NP5130, Drosophila Genomics Resource Center). Flies were reared on standard medium at 25°C. All fly lines were tested for Wolbachia infection and cured whenever necessary (38).
ZIKV stock preparation
Vero cells (ATCC, Manassas, VA) were grown in Eagle’s Minimum Essential Medium (ATCC), supplemented with 10% FBS (Gemini Bio-Products), penicillin/streptomycin (VWR), gentamicin (Sigma-Aldrich), and amphotericin B (Quality Biological). ZIKV strain MR766 was added to Vero cells at multiplicity of infection of 0.1 and incubated for 4–6 d. The supernatants were centrifuged at 1500 rpm for 5 min and filtered (0.45 μm) before being concentrated via SnakeSkin dialysis tubing 3.5 K m.w. cut-off (Thermo Fisher Scientific) in polyethylene glycol 8000 powder (Alfa Aesar) until all liquid was drawn out. The tubing was then placed in PBS overnight at 4°C. The reconstituted ZIKV was then aliquoted and stored at −80°C. ZIKV titers were determined using plaque assays on Vero cells as previously described (39). Briefly, ZIKV stocks were serially diluted and adsorbed to confluent monolayers of Vero cells. After 3 h, the inoculum was removed, and cells were overlaid with semisolid medium containing 1% carboxymethyl cellulose (Sigma-Aldrich). Cells were further incubated for 5 d, fixed with 4% paraformaldehyde (Electron Microscopy Sciences), and stained with 0.5% aqueous crystal violet solution (Sigma-Aldrich) for plaque visualization. Titers were expressed as PFU per milliliter.
Fly infection
To avoid heterogeneity in ZIKV load, only adult female flies were used in these experiments. Injections were performed by anesthetizing the flies with CO2. For each experiment, 2–5-d-old adult female flies were injected with ZIKV suspensions in PBS (pH 7.5) using a nanoinjector (Nanoject III; Drummond Scientific). ZIKV stocks were prepared in PBS (pH 7.5). Heat-inactivated ZIKV stocks were generated by exposing the virus inoculum to 56°C for 1 h in a water bath. Heat-inactivated or live ZIKV solution (11,000 PFU/fly) (100 nl) was injected into the thorax of flies, and an injection of the same volume of PBS acted as negative control. Injected flies were then maintained at 25°C and transferred to fresh vials every third day throughout the experiment. They were collected at the indicated time points and directly processed for RNA analysis. Flies that died right after injection were not considered for further analysis. Statistical analyses of the differences in ZIKV titers between fly strains and experimental conditions were conducted with data from three independent experiments.
RNA analysis
Total RNA was extracted from 10 adult female flies, using TRIzol according to manufacturer’s protocol. Total RNA (500 ng–1 μg) was used to synthesize cDNA using the High Capacity cDNA Reverse Transcription Kit (Applied Biosystems). Quantitative RT-PCR (qRT-PCR) experiments were performed with technical triplicates and gene-specific primers (Table I) using iQ SYBR Green Supermix (Bio-Rad Laboratories) and a CFX96 Real-Time PCR detection system (Bio-Rad Laboratories). Quantification was performed from three biological replicates for both test and control treatments. ZIKV copy numbers were estimated by using previously described primers (ZIKV F9027; ZIKV R9197c) (40). Fold changes were calculated with the ΔΔ cycle threshold method using RpL32 as a housekeeping gene. Absolute copy numbers of ZIKV were extrapolated by a standard curve constructed out of six-point dilution series of viral cDNA.
Fly survival
For each fly strain, three groups of 20 female flies were injected with ZIKV and one group was injected with PBS for control. Following injection, flies were maintained at a constant temperature of 25°C with a 12-h light/dark cycle, and mortality was recorded daily. Fly deaths occurring within 1 d of injection were attributed to injury and they were not included in the results. Log-rank (Mantel–Cox) test was used to analyze the survival curves.
Nile Red staining of neutral lipids
Fat body tissues from w1118 untreated, PBS-, or ZIKV-injected adult female flies were dissected and fixed in 4% paraformaldehyde in PBS for 30 min at room temperature. Fixed tissues were then rinsed twice in PBS, incubated for 30 min in 1:1000 dilution of 0.05% Nile Red prepared in 1 mg/ml of methanol, and finally mounted with VECTASHIELD (H1200; Vector Laboratories). Images were taken using Zeiss LSM 510 confocal microscope. To quantify LD size, the area of the three largest LDs per cell from 25 fat body cells was measured using ImageJ. This experiment was repeated three times with three samples for each experiment.
Immunostaining and Abs
Anti-Prospero Ab (1:30), Anti–phospho-histone 3 (PH3) (1:500), and Anti-4G2 (1:100) Abs were purchased from the Developmental Studies Hybridoma Bank and Abcam, respectively. Secondary Abs included Alexa Fluor 488, 555, and 633 (Invitrogen). DAPI was used for nuclear marking (Invitrogen). Phalloidin-FITC and Phalloidin TRITC were used for actin staining (Sigma-Aldrich). Standard procedures were followed for immunostaining. Briefly, fly tissues were dissected and fixed in PBS containing 4% formaldehyde for 30 min. Following double rinsing in PBS containing 0.1% Triton X-100, the samples were incubated overnight at 4°C with the primary Ab. The samples were then blocked with 1% BSA for 2 h followed by 2-h incubation with secondary Ab at room temperature. Finally, the samples were mounted with VECTASHIELD medium (Vector Laboratories). Images were acquired with Zeiss LSM 510 confocal microscope and processed using Adobe Photoshop CS6. Fluorescence intensity plots were generated from a single slice of 40× confocal images using ImageJ software. A line segment was drawn across the two points of expression, and the plot profile function was used to generate a fluorescence intensity plot for the desired channel. The raw data file generated by these plot profiles were analyzed in Excel with each plot value corresponding to the peak value creating intensity plots.
Fly climbing ability
Climbing assays were carried out as previously described (41, 42). Groups of 10 adult female flies were transferred into empty vials and incubated for 1 h at room temperature for acclimatization. The flies were gently tapped down to the bottom of the vials and then the number of flies reaching an 8 cm mark was counted after 18 s of climbing. The experiment was repeated three times.
Statistical analysis
An unpaired two-tailed Student t test was used for statistical analysis of data using GraphPad Prism (GraphPad Software). Log-rank (Mantel–Cox) within GraphPad Prism program was used to analyze the survival curves. The p values <0.05 were considered statistically significant.
Results
Drosophila flies support ZIKV replication without succumbing to the infection
We first investigated whether Drosophila flies can support replication of ZIKV. For this, we injected 11,000 PFU/fly of the strain MR766 into the thorax of w1118 adult flies and estimated viral copy numbers using ZIKV gene-specific primers. ZIKV belongs to the Flaviviridae family of viruses with an 11-kb positive-stranded ssRNA genome (43, 44). The positive-stranded RNA serves as the mRNA for translation of a large polyprotein, which in turn codes for three structural and seven nonstructural proteins (44). Among the latter, NS5 is the largest and most crucial nonstructural protein in the viral replication complex because it performs both methyltransferase and polymerase functions, and therefore it forms an important therapeutic target for interfering with viral RNA production (45, 46). We estimated ZIKV copy numbers in the infected flies compared with PBS control–treated flies at three time points postinjection using primer sequences against NS5, as previously described (40). We found strongly elevated levels of ZIKV copies at 8 d postinjection (dpi) (200-fold increase compared to 4 dpi), which declined subsequently at 12 dpi (Fig. 1A) and did not change at 20 dpi (Fig. 1A). To test whether infection of Drosophila with ZIKV affects the survival of wild-type flies, we injected w1118 flies with MR766 and estimated survival rates over time. We found that infection with this ZIKV strain failed to reduce fly survival, which was similar to the survival of PBS-injected controls (Fig. 1B). These results indicate that although ZIKV does not kill wild-type Drosophila through direct delivery into the hemolymph, it can replicate efficiently in the infected flies.
ZIKV replicates in Drosophila adult flies triggers RNAi and the expression of Tot genes. (A) Drosophila female w1118 adult flies were injected with ZIKV (African strain MR766; 110 million PFUs/ml), and ZIKV load was estimated at several dpi. Absolute ZIKV copy numbers were quantified via qRT-PCR. (B) Survival of w1118 adult flies after intrathoracic injection with ZIKV was monitored at 24-h intervals for 12 d. Injections with PBS served as negative controls. Gray and black lines depicting the survival of PBS and ZIKV-injected flies are superimposed, but for clarity, they are shown in parallel. Data represent the mean ± SD of three biological replicates of at least 20 female flies. Log-rank (Mantel–Cox) was used for statistical analysis. (C–F) ZIKV-infected flies were processed for RNA analysis, and gene expression levels were determined by qRT-PCR at 4, 8, and 12 dpi. (C) Transcript levels of RNAi machinery, Ago-2 and Dicer-2. (D) Transcript levels of JAK/STAT gene targets, including the Tot genes TotA and TotM, the antiviral cytokine Diedel, the thioester-containing protein Tep1, and the antiviral STAT-regulated target genes Vago, Vir-1, and Listericin. (E) Transcript levels of Toll signaling gene readouts Drosomycin (Drs) and Metchnikowin (Mtk) throughout the stages of infection. (F) Transcript levels of Imd signaling gene readouts Diptericin (Dpt) and Cecropin (Cec) in flies responding to ZIKV infection. All data were normalized to the housekeeping gene RpL32 shown relative to wild-type flies injected with PBS (sterile control). Three independent experiments were carried out with 10 flies per sample in triplicates. Bars represent the mean ± SD. Statistical analysis was performed using Student t test. *p = 0.0215, **p = 0.002, ***p = 0.0006, ****p < 0.0001.
ZIKV replicates in Drosophila adult flies triggers RNAi and the expression of Tot genes. (A) Drosophila female w1118 adult flies were injected with ZIKV (African strain MR766; 110 million PFUs/ml), and ZIKV load was estimated at several dpi. Absolute ZIKV copy numbers were quantified via qRT-PCR. (B) Survival of w1118 adult flies after intrathoracic injection with ZIKV was monitored at 24-h intervals for 12 d. Injections with PBS served as negative controls. Gray and black lines depicting the survival of PBS and ZIKV-injected flies are superimposed, but for clarity, they are shown in parallel. Data represent the mean ± SD of three biological replicates of at least 20 female flies. Log-rank (Mantel–Cox) was used for statistical analysis. (C–F) ZIKV-infected flies were processed for RNA analysis, and gene expression levels were determined by qRT-PCR at 4, 8, and 12 dpi. (C) Transcript levels of RNAi machinery, Ago-2 and Dicer-2. (D) Transcript levels of JAK/STAT gene targets, including the Tot genes TotA and TotM, the antiviral cytokine Diedel, the thioester-containing protein Tep1, and the antiviral STAT-regulated target genes Vago, Vir-1, and Listericin. (E) Transcript levels of Toll signaling gene readouts Drosomycin (Drs) and Metchnikowin (Mtk) throughout the stages of infection. (F) Transcript levels of Imd signaling gene readouts Diptericin (Dpt) and Cecropin (Cec) in flies responding to ZIKV infection. All data were normalized to the housekeeping gene RpL32 shown relative to wild-type flies injected with PBS (sterile control). Three independent experiments were carried out with 10 flies per sample in triplicates. Bars represent the mean ± SD. Statistical analysis was performed using Student t test. *p = 0.0215, **p = 0.002, ***p = 0.0006, ****p < 0.0001.
Gene . | Forward (5′ to 3′) . | Reverse (5′ to 3′) . |
---|---|---|
Rpl32 | 5′-GATGACCATCCGCCCAGCA-3′ | 5′-CGGACCGACAGCTGCTTGGC-3′ |
NS5 | 5′-CCTTGGATTCTTGAACGAGGA-3′ | 5′-AGAGCTTCATTCTCCAGATCAA-3′ |
Drosomycin | 5′-GACTTGTTCGCCCTCTTCG-3′ | 5′-CTTGCACACACGACGACAG-3′ |
Diptericin | 5′-GCTGCGCAATCGCTTCTACT-3′ | 5′-TGGTGGAGTTGGGCTTCATG-3′ |
Cecropin A1 | 5′-TCTTCGTTTTCGTCGCTCTC-3′ | 5′-CTTGTTGAGCGATTCCCAGT-3′ |
Metchnikowin | 5′-TCTTGGAGCGATTTTTCTGG-3′ | 5′-AATAAATTGGACCCGGTCTTG-3′ |
Tep1 | 5′-AGTCCCATAAAGGCCGACTGA-3′ | 5′-CACCTGCATCAAAGCCATATTG-3′ |
Vago | 5′-TGCAACTCTGGGAGGATAGC-3′ | 5′-AATTGCCCTGCGTCAGTTT-3′ |
Diedel | 5′-GTGCGTGCAATCGAAAACTA-3′ | 5′-CGTACTGCTGGTTCCTCCTC-3′ |
TotA | 5′-GAAGATCGTGAGGCTGACAAC-3′ | 5′-GTCCTGGGCGTTTTTGATAA-3′ |
TotM | 5′-GCTGGGAAAGGTAAATGCTG-3′ | 5′-AGGCGCTGTTTTTCTGTGAC-3′ |
Argonaute-2 | 5′-CCGGAAGTGACTGTGACAGATCG-3′ | 5′-CCTCCACGCACTGCATTGCTCG-3′ |
Dicer-2 | 5′-GTATGGCGATAGTGTGACTGCGAC-3′ | 5′-GCAGCTTGTTCCGCAGCAATATAGC-3′ |
Listericin | 5′-GAGTTAGGGCCGCTCGTC-3′ | 5′-CCTCCTCCACAGCAATATCCT-3′ |
Vir-1 | 5′-GATCCCAATTTTCCCATCAA-3′ | 5′-GATTACAGCTGGGTGCACAA-3′ |
4E-BP | 5′-TCCTGGAGGCACCAAACTTATC-3′ | 5′-GGAGCCACGGAGATTCTTCA-3′ |
Impl2 | 5′-AAGAGCCGTGGACCTGGTA-3′ | 5′-TTGGTGAACTTGAGCCAGTCG-3′ |
Upd-3 | 5′-GCCGCGATATAAAGATACAAAGATA-3′ | 5′-ACTTTGCTTTTGTAACGCTGTTAGT-3′ |
Lsd-1 | 5′-TGAGCCGGCGACAGCAACAGT-3′ | 5′-CGTAGGCGGCCGAAATGGTG-3′ |
Lsd-2 | 5′-AGTGTACTAGCCGATACG-3′ | 5′-TCTGACTCCCGGATCT-3′ |
Lipin | 5′-GGGCATGAATGAAATCGAG-3′ | 5′-TCACCACCTTGTCGTTGTG-3′ |
Mdy | 5′-CGTTCTCCAATATGGACGTG-3′ | 5′-AAAAGCAGAGCCAGCAAAG-3′ |
Spitz | 5′-CGCCCAAGAATGAAAGAGAG-3′ | 5′-AGGTATGCTGCTGGTGGAAC-3′ |
Vein | 5′-TCACACATTTAGTGGTGGAAG-3′ | 5′-TTGTGATGCTTGAATTGGTAA-3′ |
Keren | 5′-CGTGTTTGGCAACAACAAGT-3′ | 5′-TGTGGCAATGCAGTTTAAGG-3′ |
Gene . | Forward (5′ to 3′) . | Reverse (5′ to 3′) . |
---|---|---|
Rpl32 | 5′-GATGACCATCCGCCCAGCA-3′ | 5′-CGGACCGACAGCTGCTTGGC-3′ |
NS5 | 5′-CCTTGGATTCTTGAACGAGGA-3′ | 5′-AGAGCTTCATTCTCCAGATCAA-3′ |
Drosomycin | 5′-GACTTGTTCGCCCTCTTCG-3′ | 5′-CTTGCACACACGACGACAG-3′ |
Diptericin | 5′-GCTGCGCAATCGCTTCTACT-3′ | 5′-TGGTGGAGTTGGGCTTCATG-3′ |
Cecropin A1 | 5′-TCTTCGTTTTCGTCGCTCTC-3′ | 5′-CTTGTTGAGCGATTCCCAGT-3′ |
Metchnikowin | 5′-TCTTGGAGCGATTTTTCTGG-3′ | 5′-AATAAATTGGACCCGGTCTTG-3′ |
Tep1 | 5′-AGTCCCATAAAGGCCGACTGA-3′ | 5′-CACCTGCATCAAAGCCATATTG-3′ |
Vago | 5′-TGCAACTCTGGGAGGATAGC-3′ | 5′-AATTGCCCTGCGTCAGTTT-3′ |
Diedel | 5′-GTGCGTGCAATCGAAAACTA-3′ | 5′-CGTACTGCTGGTTCCTCCTC-3′ |
TotA | 5′-GAAGATCGTGAGGCTGACAAC-3′ | 5′-GTCCTGGGCGTTTTTGATAA-3′ |
TotM | 5′-GCTGGGAAAGGTAAATGCTG-3′ | 5′-AGGCGCTGTTTTTCTGTGAC-3′ |
Argonaute-2 | 5′-CCGGAAGTGACTGTGACAGATCG-3′ | 5′-CCTCCACGCACTGCATTGCTCG-3′ |
Dicer-2 | 5′-GTATGGCGATAGTGTGACTGCGAC-3′ | 5′-GCAGCTTGTTCCGCAGCAATATAGC-3′ |
Listericin | 5′-GAGTTAGGGCCGCTCGTC-3′ | 5′-CCTCCTCCACAGCAATATCCT-3′ |
Vir-1 | 5′-GATCCCAATTTTCCCATCAA-3′ | 5′-GATTACAGCTGGGTGCACAA-3′ |
4E-BP | 5′-TCCTGGAGGCACCAAACTTATC-3′ | 5′-GGAGCCACGGAGATTCTTCA-3′ |
Impl2 | 5′-AAGAGCCGTGGACCTGGTA-3′ | 5′-TTGGTGAACTTGAGCCAGTCG-3′ |
Upd-3 | 5′-GCCGCGATATAAAGATACAAAGATA-3′ | 5′-ACTTTGCTTTTGTAACGCTGTTAGT-3′ |
Lsd-1 | 5′-TGAGCCGGCGACAGCAACAGT-3′ | 5′-CGTAGGCGGCCGAAATGGTG-3′ |
Lsd-2 | 5′-AGTGTACTAGCCGATACG-3′ | 5′-TCTGACTCCCGGATCT-3′ |
Lipin | 5′-GGGCATGAATGAAATCGAG-3′ | 5′-TCACCACCTTGTCGTTGTG-3′ |
Mdy | 5′-CGTTCTCCAATATGGACGTG-3′ | 5′-AAAAGCAGAGCCAGCAAAG-3′ |
Spitz | 5′-CGCCCAAGAATGAAAGAGAG-3′ | 5′-AGGTATGCTGCTGGTGGAAC-3′ |
Vein | 5′-TCACACATTTAGTGGTGGAAG-3′ | 5′-TTGTGATGCTTGAATTGGTAA-3′ |
Keren | 5′-CGTGTTTGGCAACAACAAGT-3′ | 5′-TGTGGCAATGCAGTTTAAGG-3′ |
Adult flies injected with ZIKV activate RNAi and stress-induced Tot genes
Drosophila lacks an adaptive immune system and solely relies on innate immune mechanisms (4). At the molecular level, sensing of viral infection results in induction of signaling pathways and the production of antiviral effectors. To examine whether ZIKV infection stimulates innate immunity in Drosophila, we injected w1118 adult flies with the MR766 strain and estimated the time-course expression of genes regulated by immune signaling pathways in the fly. We analyzed the activation of the RNAi pathway that forms a potent antiviral defense in Drosophila (5, 31, 32), the JAK/STAT pathway that is required but not sufficient for the inducible antiviral response in the fly (47), and the Toll and Imd pathways that regulate the activation of the NF-κB transcription factors DIF/Dorsal and Relish, respectively (24, 48, 49). We found that Dicer-2, encoding the sole siRNA-producing Dicer-2 protein that acts as a pattern recognition receptor and as a component of the RISC in Drosophila (29), was significantly upregulated at 4 and 8 dpi with ZIKV, whereas Ago-2, encoding the Argonaute protein in the RISC (31), was significantly induced at 4 dpi only compared with control injections with PBS (Fig. 1C). JAK/STAT is a mammalian antiviral signaling pathway and is a crucial component of the IFN response (50). Although insects do not possess IFN activity, JAK/STAT has been instrumental in providing immunity against several viruses in Drosophila and mosquitoes (22, 51, 52). In corroboration with previous findings, we found a strong (up to 500-fold) upregulation of the antiviral cytokine Diedel and the JAK/STAT-regulated genes Tot, TotA, and TotM in ZIKV-injected flies (53, 54) (Fig. 1D). We also found a moderate upregulation of Thioester-containing protein 1 (Tep1) at 8 dpi (24), and slight upregulation of the STAT-regulated antiviral genes Vago, Vir-1, and Listericin mainly at 12 dpi (22, 55, 56) (Fig. 1D). In case of bacterial challenge, Tot genes are regulated through JAK/STAT signaling (57). To examine whether the ZIKV-induced Tot genes are also regulated by JAK/STAT signaling, we estimated TotA and TotM transcript levels in hop mutants infected with ZIKV. Unlike bacterial infection, mutating hop did not affect TotA and TotM induction upon ZIKV infection (Supplemental Fig. 1A). We also found no significant upregulation of Upd-3 (Supplemental Fig. 1B), the ligand necessary for JAK/STAT mediated TotA activation (57), further emphasizing JAK/STAT independent regulation of Tot genes in case of ZIKV infection. Also, there was no significant change in the mRNA levels of the Toll-regulated antimicrobial peptide gene Drosomycin and a slight decrease of Metchnikowin at 4 dpi (Fig. 1E); however, we noticed reduced transcript levels of the Imd-regulated antimicrobial peptide genes Diptericin at 4 dpi and Cecropin-A1 at 4 and 8 dpi and increase of Diptericin at 12 dpi (4) (Fig. 1F). We then asked whether injection with inactivated ZIKV alters immune signaling regulation in Drosophila. Inactivated viruses are incapable of replication but are still capable of binding cells and performing endocytosis and entry to the cells (35, 58). Similar to the effect of live ZIKV, we found robust induction of RNAi and upregulation of TotM in flies injected with the heat-inactivated ZIKV (Supplemental Fig. 1C, 1D). These results demonstrate that Drosophila can sense the presence of different ZIKV components and respond by activating certain antiviral immune mechanisms controlled by RNAi and the stress-induced Tot genes. Interestingly, the latter are regulated independently of JAK/STAT signaling.
Dicer-2 controls ZIKV replication and resistance to the infection
RNAi plays a major role in the insect immune response to certain viral infections (5). To test whether activation of RNAi confers resistance to ZIKV infection in Drosophila, we estimated the ZIKV load and survival ability of flies carrying loss-of-function mutations in Ago-2 or Dicer-2. Ago-2 plays a pivotal immune role against viral infections in the fly (11, 31, 33). Time-course infection revealed significant increase in ZIKV load at the early time point (4 dpi) in Ago-2 mutant flies (Ago-2414) (Fig. 2A). However, ZIKV load in Ago-2 mutants for the later time points remained unaffected compared with the w1118 background controls (Fig. 2A). In line with the ZIKV load results, Ago-2 mutant flies were able to survive infection with ZIKV at similar levels compared with their background controls (Fig. 2B). We further confirmed the survival ability of ZIKV-infected Ago-2414 in another trans-heterozygous null allelic combination Ago-2321/Df (Supplemental Fig. 2A). In contrast, Dicer-2 mutants (Dicer-2L811fsX) contained higher ZIKV load at both 4 and 8 dpi. ZIKV load increased up to 5 and 11 times, respectively (Fig. 2C). Dicer-2 mutant flies infected with ZIKV succumbed at a much faster rate with 50% of the infected mutants dying after 6.5 dpi compared to 100% survival of their background controls (Fig. 2D). The survival defect of ZIKV-infected Dicer-2L811fsX null mutant flies was also validated in another null mutant of Dicer-2 (Dicer-2R416×) (Supplemental Fig. 2B). Similar to Dicer-2L811fsX mutants, ZIKV-infected Dicer-2R416× flies succumbed at a faster rate as compared with the wild-type (w1118) flies (Supplemental Fig. 2B). We further observed that the survival defect of ZIKV-infected Dicer-2 (Dicer-2L811fsX) mutant flies was rescued by the introduction of a genomic copy of Dicer-2 (Supplemental Fig. 2C). Of note, WNV, an arbovirus of the Flaviviridae family that can readily infect Drosophila, shows an opposite replication pattern in RNAi mutants as it amplifies at higher titers in Ago-2 (but not in Dicer-2)-deficient flies than in controls (11). It has also been shown that Dicer-2 can regulate Toll signaling and the expression of Vago, a secreted protein with antiviral activity (55). However, unlike previous studies, in this study, we found increased expression of Vago in Dicer-2 mutants infected with ZIKV. Vago mRNA levels were 1.5-fold higher in ZIKV-infected Dicer-2 mutant flies compared with the background controls (Supplemental Fig. 2D). These findings indicate that Dicer-2 is crucial in regulating ZIKV replication, whereas Ago-2 regulates the replication at a modest level. In particular, Ago-2 confers a tolerant phenotype during the early stages of ZIKV infection, whereas Dicer-2 is important for conferring resistance to ZIKV.
Inactivating Dicer-2 results in enhanced ZIKV load and compromised fly survival. ZIKV load and survival in Ago2414 and Dicer2L811fsX loss-of-function mutant flies and w1118 background controls. (A) qRT-PCR analysis depicting ZIKV load in Ago-2 mutant flies compared with the w1118 controls. (B) Survival analysis of w1118 and Ago-2 mutant flies injected with PBS and ZIKV. (C) ZIKV load in Dicer-2 mutant compared with the wild-type control flies. (D) Survival analysis of w1118 and Dicer-2 mutant flies injected with PBS and ZIKV. All ZIKV load data represent the mean and SD of three independent experiments in triplicates. For survival experiments, three groups of 20 female flies from each fly strain were injected with ZIKV, and fly survival was monitored at 24-h intervals and up to 12 dpi. Log-rank (Mantel–Cox) was used for survival data analysis, *p = 0.05, **p = 0.04, ****p < 0.0001.
Inactivating Dicer-2 results in enhanced ZIKV load and compromised fly survival. ZIKV load and survival in Ago2414 and Dicer2L811fsX loss-of-function mutant flies and w1118 background controls. (A) qRT-PCR analysis depicting ZIKV load in Ago-2 mutant flies compared with the w1118 controls. (B) Survival analysis of w1118 and Ago-2 mutant flies injected with PBS and ZIKV. (C) ZIKV load in Dicer-2 mutant compared with the wild-type control flies. (D) Survival analysis of w1118 and Dicer-2 mutant flies injected with PBS and ZIKV. All ZIKV load data represent the mean and SD of three independent experiments in triplicates. For survival experiments, three groups of 20 female flies from each fly strain were injected with ZIKV, and fly survival was monitored at 24-h intervals and up to 12 dpi. Log-rank (Mantel–Cox) was used for survival data analysis, *p = 0.05, **p = 0.04, ****p < 0.0001.
Characterization of ZIKV tropism reveals replication in the midgut, fat body, and crop of the infected flies
Once inside the host, viruses need to propagate for their own survival, and thereby they interact with certain cell types or host tissues, also known as viral tropism, which determines the outcome of infection (59). In Drosophila, there have been compelling evidences depicting the tissue tropism of DCV, Nora virus, FHV, VSV, and Bluetongue virus in the infected flies (14). To examine ZIKV tissue tropism, we used the flavivirus-specific Ab 4G2, which detects the viral envelope protein (60–62). We noticed strong 4G2 positive signal in the midgut of the ZIKV-infected flies (Fig. 3A), whereas the midgut of the uninfected flies was devoid of 4G2 expression (Fig. 3A). We also quantified 4G2 expression in the midgut of both uninfected controls and ZIKV-infected wild-type flies. We generated fluorescence intensity plots across two linear points of 4G2 expression (yellow line in Fig. 3A) to precisely analyze 4G2 expression. Intensity plot showed two peaks of 4G2 fluorescence corresponding to the yellow line in ZIKV-infected gut tissue (magenta line) (Fig. 3B), whereas negligible 4G2 intensity was observed for the expression in uninfected gut tissue (green line) (Fig. 3B). Similar to midgut, the crop (digestive organ) of the ZIKV-infected flies also showed numerous 4G2-positive ZIKV particles (Fig. 3C) as compared with the uninfected flies, in which no expression of 4G2 was detected (Fig. 3C). However, unlike DCV infection (12), we were not able to detect any morphological defect in the crop of ZIKV-infected flies as compared with the uninfected controls (Fig. 3C). Similar to the midgut, the intensity plot for 4G2 expression in the crop revealed sharp peak for ZIKV-infected crop tissue, whereas diminished 4G2 intensity was found for the uninfected crop (Fig. 3D). Closer examination revealed a 4G2-positive signal in the primary metabolic/immune organ, the fat body of the infected flies, and no signal was observed in the fat body of uninfected flies (Fig. 3E). Measurement of intensity plots showed two strong peaks corresponding to 4G2 expression in ZIKV-infected fat body, whereas a flat-line expression was observed for 4G2 expression in uninfected fat body tissue (Fig. 3F). We also examined 4G2 expression in the reproductive organ and noticed that similar to the uninfected flies, there was no expression of 4G2 in the egg chambers of the infected flies (Supplemental Fig. 3). To further validate the expression of 4G2 in these different tissues of the infected wild-type flies, we next estimated ZIKV load in these tissues. Analysis through qRT-PCR revealed an elevated level of ZIKV copies in fat body, gut, and crop of the infected flies (Fig. 3G). These findings suggest that ZIKV depicts a broad tissue tropism in Drosophila by infecting the midgut, crop, and fat body of the infected flies.
Midgut, crop, and fat body of ZIKV-infected flies shows flavivirus-specific 4G2 expression. Representative midgut, crop, and fat body images from uninfected w1118 adult flies and flies infected with ZIKV at 8 dpi. The expression of ZIKV was detected through the antiflavivirus Ab 4G2. (A) The first panel shows dissected midgut from uninfected w1118 flies along with the enlarged images in the lower panel, while the second panel shows dissected midgut from ZIKV-infected adult flies. (B) Quantification of the 4G2 fluorescence intensity in midgut in uninfected and ZIKV-infected flies. The intensity plot corresponds to a line connecting two points (marked by yellow line in the images). Fluorescence intensity is represented in pseudocolors where magenta marks the intensity for ZIKV infection and green marks uninfected control (AU, arbitrary unit). (C) Expression of 4G2 in the crop (organ in the digestive tract) in uninfected controls and ZIKV-infected adult flies. (D) Quantification of the 4G2 fluorescence intensity in crop from uninfected and ZIKV-infected flies. The intensity plot corresponds to a line connecting two points (marked by yellow line in the images). (E) Expression of 4G2 in the fat body tissue from uninfected controls and ZIKV-injected adult flies. (F) Measurement of fluorescence intensity of 4G2 expression in the fat body from uninfected controls and ZIKV-injected flies. (G) ZIKV load in the fat body, gut, and crop tissue from ZIKV-injected flies (8 dpi). In all images, 4G2 was marked in red, actin in green, and nuclei were marked in blue. Scale bar, 100 μm.
Midgut, crop, and fat body of ZIKV-infected flies shows flavivirus-specific 4G2 expression. Representative midgut, crop, and fat body images from uninfected w1118 adult flies and flies infected with ZIKV at 8 dpi. The expression of ZIKV was detected through the antiflavivirus Ab 4G2. (A) The first panel shows dissected midgut from uninfected w1118 flies along with the enlarged images in the lower panel, while the second panel shows dissected midgut from ZIKV-infected adult flies. (B) Quantification of the 4G2 fluorescence intensity in midgut in uninfected and ZIKV-infected flies. The intensity plot corresponds to a line connecting two points (marked by yellow line in the images). Fluorescence intensity is represented in pseudocolors where magenta marks the intensity for ZIKV infection and green marks uninfected control (AU, arbitrary unit). (C) Expression of 4G2 in the crop (organ in the digestive tract) in uninfected controls and ZIKV-infected adult flies. (D) Quantification of the 4G2 fluorescence intensity in crop from uninfected and ZIKV-infected flies. The intensity plot corresponds to a line connecting two points (marked by yellow line in the images). (E) Expression of 4G2 in the fat body tissue from uninfected controls and ZIKV-injected adult flies. (F) Measurement of fluorescence intensity of 4G2 expression in the fat body from uninfected controls and ZIKV-injected flies. (G) ZIKV load in the fat body, gut, and crop tissue from ZIKV-injected flies (8 dpi). In all images, 4G2 was marked in red, actin in green, and nuclei were marked in blue. Scale bar, 100 μm.
Midgut from ZIKV-infected wild-type and Dicer-2 mutant flies differ in their ability to induce intestinal stem cell proliferation
Characterizing the physiological events occurring during the course of a microbial infection is essential for a better understanding of host–microbe dynamics. Infection with certain microbial pathogens induces pathophysiological responses in Drosophila (63). For instance, adult flies infected with Salmonella typhimurium, Listeria monocytogenes, and Mycobacterium marinum demonstrate various infection-induced pathologies (64, 65). However, virus-induced pathologies in Drosophila are still poorly understood (12, 13, 66). In correlation with tissue tropism of ZIKV, we next aimed at investigating whether viral infection of the midgut affects the overall gut homeostasis. Drosophila gut homeostasis is primarily maintained by epithelial renewal, in which the stress or infection-induced damage results in enterocyte (the main gut cell type) loss that is compensated by overproliferation of intestinal stem cells (ISCs) (67). Interestingly, flies compromised in the ability to renew the gut epithelium succumb to infection, demonstrating the importance of ISC-induced epithelium renewal in antibacterial immunity (68, 69).
To investigate the gut-related pathologies upon ZIKV infection, ZIKV was injected in flies carrying an ISC-specific reporter construct (esgGal4UAS-GFP) (70), in which Escargot (Esg) is a transcription factor that maintains stemness in ISCs (71). In the absence of infection, the expression of Escargot was restricted to a few dispersed subsets of ISCs (Fig. 4A). In contrast to the midgut of the uninfected flies, the midgut from ZIKV-infected individuals displayed a strong increase in ISC proliferation marked by enhanced expression of Escargot (Fig. 4A). The increased number of ISCs was further validated by quantification showing that up to 60% of the total midgut cells were comprised of Escargot-positive ISCs (Fig. 4B). In agreement with the enhanced expression of esg-GFP, we noticed significant enrichment of escargot mRNA in the midgut of ZIKV-infected wild-type flies as compared with the uninfected controls (Fig. 4C). To understand the causative mechanism for the increased susceptibility, we next examined the midgut-related defects in ZIKV-infected Dicer-2 (Dicer-2L811fsX) mutant flies. We found that unlike wild-type flies, ZIKV-infected Dicer-2 mutants showed a significant reduction in the mRNA expression of escargot (Fig. 4C).
ZIKV-infected Dicer-2 mutant flies fail to trigger infection-induced ISC proliferation. (A) Representative images of gut in ZIKV-infected wild-type (w1118) flies at 8 dpi and in uninfected controls. ISCs were marked by the expression of an esgGal4UAS-GFP reporter. (B) Percentage of esg-positive cells or ISCs per midgut region. (C) qRT-PCR analysis showing the mRNA level of escargot in the midgut of uninfected and ZIKV-infected wild-type and Dicer-2 mutant flies. (D) qRT-PCR analysis of genes encoding EGFR signaling ligands, Keren, Vein, and Spitz in midgut of the uninfected controls and ZIKV-infected wild-type and Dicer-2 mutant flies. (E) Representative images of midgut in uninfected and ZIKV-infected wild-type (w1118) and Dicer-2 mutant flies. Midgut tissues were stained with anti-PH3 (green) to mark the mitotically active cells. Cytoarchitecture was marked with actin (red), and nuclei were stained with DAPI (blue). (F) Quantification of PH3-positive cells per midgut tissue in uninfected and ZIKV-infected wild-type and Dicer-2 mutant flies. (G) Proportion of EE cells in the midgut of uninfected and ZIKV-infected wild-type and Dicer-2 mutant flies. EE cells were stained with anti-Prospero Ab (red). Actin was marked in green, whereas nuclei were stained with DAPI (blue). (H) Quantification of Prospero-positive cells per midgut tissue. Levels of mRNA were normalized against RpL32, and three independent experiments were performed. In all graphs, bars represent mean ± SD. Statistical analysis was performed using Student t test. Scale bar, 100 μm. *p < 0.05, **p < 0.05, ***p < 0.05.
ZIKV-infected Dicer-2 mutant flies fail to trigger infection-induced ISC proliferation. (A) Representative images of gut in ZIKV-infected wild-type (w1118) flies at 8 dpi and in uninfected controls. ISCs were marked by the expression of an esgGal4UAS-GFP reporter. (B) Percentage of esg-positive cells or ISCs per midgut region. (C) qRT-PCR analysis showing the mRNA level of escargot in the midgut of uninfected and ZIKV-infected wild-type and Dicer-2 mutant flies. (D) qRT-PCR analysis of genes encoding EGFR signaling ligands, Keren, Vein, and Spitz in midgut of the uninfected controls and ZIKV-infected wild-type and Dicer-2 mutant flies. (E) Representative images of midgut in uninfected and ZIKV-infected wild-type (w1118) and Dicer-2 mutant flies. Midgut tissues were stained with anti-PH3 (green) to mark the mitotically active cells. Cytoarchitecture was marked with actin (red), and nuclei were stained with DAPI (blue). (F) Quantification of PH3-positive cells per midgut tissue in uninfected and ZIKV-infected wild-type and Dicer-2 mutant flies. (G) Proportion of EE cells in the midgut of uninfected and ZIKV-infected wild-type and Dicer-2 mutant flies. EE cells were stained with anti-Prospero Ab (red). Actin was marked in green, whereas nuclei were stained with DAPI (blue). (H) Quantification of Prospero-positive cells per midgut tissue. Levels of mRNA were normalized against RpL32, and three independent experiments were performed. In all graphs, bars represent mean ± SD. Statistical analysis was performed using Student t test. Scale bar, 100 μm. *p < 0.05, **p < 0.05, ***p < 0.05.
We then investigated the signaling pathways regulating ZIKV-induced ISC proliferation. Infection-induced ISC proliferation is regulated by several signaling pathways (67). However, EGFR signaling is the core regulatory mechanism for ISC proliferation. Activation of EGFR signaling is sufficient to induce ISC proliferation, although its inactivation in ISCs renders them unable to proliferate upon infection (67). We next analyzed the transcriptional activation of EGFR signaling components in wild-type and Dicer-2–infected flies. qRT-PCR analysis showed that mRNA level of EGFR ligands, Spitz, Keren, and Vein were significantly upregulated in the ZIKV-infected wild-type flies as compared with the uninfected individuals (Fig. 4D). However, in the case of Dicer-2, although there was a significant reduction in level of Vein, there was no change in expression of Keren and Spitz (Fig. 4D).
For further characterization of ISCs, we next examined the overall rate of proliferation in the midgut cells using Abs against mitosis marker PH3. We found that even in uninfected condition, the midgut of Dicer-2 mutant flies showed a markedly reduced rate of proliferation as compared with the uninfected wild-type flies (Fig. 4E). Quantification analysis further showed that the number of mitotically active PH3-marked cells was reduced 10 times in the midgut of Dicer-2 mutant flies as compared with the uninfected wild-type flies (Fig. 4F). Upon ZIKV infection, the midgut of wild-type flies showed a significantly increased number of mitotic cells, but the midgut of Dicer-2 mutants failed to trigger proliferation and was devoid of any mitotically active PH3-positive cells (Fig. 4E, 4F).
Mitotically active ISCs divide to generate the enteroendocrine cells (EE) in the Drosophila midgut. Primarily involved in regulating intestinal physiology, their immune role has been recently characterized (71–73). Similar to the rate of proliferation, we noticed a strikingly reduced number of Prospero-marked EE cells in the midgut of uninfected Dicer-2 mutant flies as compared with the uninfected wild-type flies (Fig. 4G, 4H). Upon ZIKV infection, although there was no difference in the proportion of EE cells between infected and uninfected Dicer-2 mutants, there was significant increase in the number of Prospero-marked EE cells in the midgut of the wild-type flies (Fig. 4G). Quantification analysis revealed that in the case of ZIKV-infected wild-type flies, the number of midgut-specific Prospero-positive EE cells increased three times as compared with the uninfected wild-type controls (Fig. 4H). These findings indicate that the midgut of resistant wild-type flies is naturally more proliferative than the midgut of susceptible Dicer-2 mutant flies. Upon ZIKV infection, the midgut of wild-type cells responds promptly, triggering enhanced proliferation, whereas the midgut of Dicer-2 mutant flies refrains from undergoing any proliferation.
Fat body from ZIKV-infected flies shows perturbed lipid metabolism with Dicer-2 mutants suffering from lipodystrophy and severely reduced insulin activity
To further characterize the ZIKV-induced pathology in Drosophila, we next examined the effect of ZIKV infection on fat body homeostasis. Being an adipose tissue, fat body acts as the reservoir for lipids, which in turn are stored in specialized organelles called LDs. Emerging evidence indicates that except for lipid metabolism, LDs might participate in host immune activities against microbial infections by acting as a source of antibacterial and antiviral proteins (74). In this study, we found that the fat body from ZIKV-infected w1118 flies consistently displayed accumulation of enlarged LDs (Fig. 5A). Upon ZIKV infection, the size of Nile Red–marked fat body LDs increased 3–4-fold as compared with those in uninfected flies (Fig. 5B). Because lipid forms the primary source of energy reserve, we asked whether perturbed lipid homeostasis could contribute to the susceptibility of ZIKV-infected Dicer-2 mutant flies. In contrast to the increased size of LDs in ZIKV-infected w1118 flies, ZIKV-infected Dicer-2 mutants displayed a dispersed set of LDs with a strikingly diminished size (Fig. 5A). Reduced size of LDs is a sign of lipodystrophy, which in turn could lead to faster death and has also been shown to be a morphological characteristic of the fat body in FHV-infected flies (29, 75). Quantification analysis showed that the size of fat body LDs in ZIKV-infected Dicer-2 mutants was reduced to one-third compared with those in ZIKV-infected w1118 flies (Fig. 5B).
The increased susceptibility of Dicer-2 mutant flies to ZIKV infection is linked to lipodystrophy and Impl2-induced wasting. (A) Representative images of fat body LDs in ZIKV-infected wild-type (w1118) flies, Dicer-2 mutants, and uninfected background controls at 8 dpi. The neutral lipids were marked with Nile Red. (B) Quantification of LD size in ZIKV-infected wild-type and Dicer-2 mutant flies as well as in uninfected controls. (C and D) Expression analysis of lipid metabolism–related genes in ZIKV-infected w1118 flies and Dicer-2 mutants and in uninfected w1118 individuals. (C) Lsd-1 and Lsd-2 were used as read-outs for lipolysis, (D) whereas Lipin and mdy were used as read-outs for lipogenesis. (E) qRT-PCR analysis of the Foxo target gene 4E-BP and insulin antagonist Impl2 in ZIKV-infected wild-type (w1118) flies, Dicer-2 mutants, and uninfected background controls. (F and G) Climbing ability and speed of climbing in uninfected wild-type controls and ZIKV-infected wild-type and Dicer-2 mutant flies. Levels of mRNA were normalized against RpL32, and three independent experiments were performed. In all graphs, bars represent mean ± SD. Statistical analysis was performed using Student t test. Scale bar, 100 μm. *p < 0.05, **p < 0.05, **** p < 0.0001.
The increased susceptibility of Dicer-2 mutant flies to ZIKV infection is linked to lipodystrophy and Impl2-induced wasting. (A) Representative images of fat body LDs in ZIKV-infected wild-type (w1118) flies, Dicer-2 mutants, and uninfected background controls at 8 dpi. The neutral lipids were marked with Nile Red. (B) Quantification of LD size in ZIKV-infected wild-type and Dicer-2 mutant flies as well as in uninfected controls. (C and D) Expression analysis of lipid metabolism–related genes in ZIKV-infected w1118 flies and Dicer-2 mutants and in uninfected w1118 individuals. (C) Lsd-1 and Lsd-2 were used as read-outs for lipolysis, (D) whereas Lipin and mdy were used as read-outs for lipogenesis. (E) qRT-PCR analysis of the Foxo target gene 4E-BP and insulin antagonist Impl2 in ZIKV-infected wild-type (w1118) flies, Dicer-2 mutants, and uninfected background controls. (F and G) Climbing ability and speed of climbing in uninfected wild-type controls and ZIKV-infected wild-type and Dicer-2 mutant flies. Levels of mRNA were normalized against RpL32, and three independent experiments were performed. In all graphs, bars represent mean ± SD. Statistical analysis was performed using Student t test. Scale bar, 100 μm. *p < 0.05, **p < 0.05, **** p < 0.0001.
We next assessed the expression status of lipid metabolism genes in ZIKV-infected w1118 and Dicer-2 mutant flies. In Drosophila, Perilipin-like domain-containing proteins (76) DmPLIN1 (Lsd-1) and DmPLIN2 (Lsd-2) modulate the rate of lipolysis (77–79). Lsd-1 is broadly expressed in LDs of fat body cells and promotes lipolysis (78, 80). Lsd-2 functions in opposite fashion to Lsd-1 and protects triacylglycerides stores in a dose-dependent manner (80). We therefore analyzed the transcript levels of Lsd-1 and Lsd-2 in ZIKV-infected w1118 and Dicer-2 mutant flies. We found that mRNA levels of Lsd-2 were significantly upregulated in ZIKV-infected w1118 flies, whereas ZIKV-infected Dicer-2 mutant flies showed reduced expression of Lsd-2 (Fig. 5C). However, mRNA levels of Lsd-1 were not altered in any of the infected strains (Fig. 5C).
We further examined the expression of genes regulating lipogenesis in the ZIKV-infected flies. Lipin and mdy are major regulators of lipid biogenesis in Drosophila; knockdown of lipin and mdy in the fly results in reduced lipid storage and increased lethality (75, 81). Whereas ZIKV-infected w1118 flies showed upregulation of lipin and mdy, ZIKV-infected Dicer-2 mutants showed reduced expression of lipin only (Fig 5D).
One of the pathways regulating lipid metabolism is the insulin signaling pathway (82, 83), which is indispensable for the growth of an organism and forms an important regulator of survival in Drosophila responding to microbial infection (65). In this study, we found that expression of 4E-BP, a negative regulator of insulin signaling (84), was significantly increased in ZIKV-infected w1118 flies (Fig. 5E), suggesting reduced insulin activity and further emphasizing the possibility that these flies suffered from metabolic defects. However, ZIKV-infected w1118 flies showed normal level of Impl2 (Fig. 5E), which is a known antagonist of insulin signaling that has been implicated recently in wasting phenotypes (84–86). Interestingly, ZIKV-infected Dicer-2 mutants exhibited significant reduction in insulin signaling, as indicated by a 3.5-fold increase in 4E-BP mRNA levels and markedly increased mRNA levels of Impl2 (Fig. 5E), a condition that leads to wasting syndrome and inevitably death of the infected flies (65, 84, 85). In addition, ZIKV-infected w1118 flies were less active and showed mild defect in climbing ability (Fig. 5F, 5G); however, the climbing ability and speed were severely affected in the Dicer-2 mutants with only 10% of these flies being able to climb compared to 50% of the w1118 individuals (Fig. 5F, 5G).
We next wanted to determine whether the observed pathologies in ZIKV-infected Dicer-2 mutants are linked to the Dicer-2 mutation per se or whether they are resulting from the enhanced ZIKV load. To address this issue, we investigated the occurrence of these pathologies in uninfected Dicer-2 mutant flies. The fat body LDs in uninfected Dicer-2 mutant flies were similar in size to those in background control uninfected flies (Supplemental Fig. 4A, 4B). Although uninfected Dicer-2 mutant flies showed a mild defect in climbing (Supplemental Fig. 4C, 4D), unlike the ZIKV-infected Dicer-2 mutants, there was no change in the activation of insulin signaling as shown by the normal levels of 4E-BP and Impl2 (Supplemental Fig. 4E). To further ascertain whether the LD phenotype is indeed a genuine phenotype owing to Dicer-2 mutation–induced ZIKV enrichment, we next used a fly strain carrying Dicer-2 genomic construct in the background of Dicer-2 mutation. We found that the LDs of ZIKV-infected Dicer-2 rescue carrying flies were similar in size to those of the wild-type controls (Supplemental Fig. 4F, 4G). Further, we examined the level of insulin signaling and found no change in the mRNA level of 4E-BP as compared with the ZIKV-infected wild-type flies (Supplemental Fig. 4H). Collectively, these findings indicate that Drosophila infection with ZIKV induces perturbed lipid metabolism followed by reduced insulin activity. These pathologies deteriorate severely in Dicer-2 mutants, which sustain enhanced ZIKV burden, defects that result in increased mortality upon ZIKV infection.
Discussion
Our results suggest that Drosophila is a suitable model for dissecting the molecular and pathophysiological basis of host–ZIKV dynamics. Our findings indicate that Drosophila flies subjected to intrathoracic injection of the ZIKV African strain MR766 are capable of sustaining replication of this virus. Using gene-specific primers designed against ZIKV NS5, a crucial molecule for ZIKV replication, we show that ZIKV copy number increases steadily up to 8 dpi before reaching a peak and subsequently declines at 12 dpi and remains constant thereafter. These findings indicate that NS5 is a reliable indicator for estimating in vivo ZIKV gene expression and replication. Interestingly, enhanced amplification of ZIKV does not compromise fly survival, signifying that Drosophila wild-type flies are resistant to ZIKV infection.
One of the primary innate immune defense mechanisms in Drosophila is the induction of antimicrobial peptides regulated by the Toll and Imd signaling pathways, which have been shown to protect against certain viruses, although the mechanistic details are still poorly understood. Drosophila Toll is induced by and regulates Drosophila X virus (DXV) and VSV infection, whereas in Aedes mosquitoes, it is critical against DENV infection (6, 24, 57, 87, 88). Previous studies also indicate that Imd signaling participates in the control of SINV and Cricket paralysis virus infection in Drosophila, but the level of its involvement in the overall antiviral response is currently unclear (48, 89). In this study, we have found that ZIKV-infected flies fail to trigger significant activation of Toll and Imd-regulated antimicrobial peptides–encoding genes. This finding denotes that the antiviral activities of these pathways are probably virus-specific, and they are not directed against ZIKV infection. Unlike Toll and Imd, JAK/STAT is a canonical mammalian antiviral pathway and is a crucial component of the IFN response (50). Although its antiviral role is increasingly perceived in Drosophila and mosquitoes, accumulating evidence indicates that its contribution might also be virus specific. Although flies mutant for JAK are more sensitive to DCV and Cricket paralysis virus, these mutant flies display a rather weak phenotype to SINV, VSV, and DXV (22, 23). Although activation of JAK/STAT restricts DENV infection, it has no effect on resistance of A. aegypti to ZIKV or Chikungunya virus (52, 90). A recent transcriptomic analysis further showed that components of JAK/STAT signaling are not induced in ZIKV-infected mosquitoes (91). In line with these results, our data show that the viral regulated JAK/STAT targets Vago, Vir-1, and Listericin, which are known to be induced by DCV, show only moderate upregulation upon ZIKV infection. Also, the Tot genes, which are activated by bacterial infection and regulated by JAK/STAT signaling, are markedly upregulated in wild-type flies upon ZIKV infection. Primarily induced upon stress (54, 92), the role of Tot genes in the fly antiviral immune response is still unclear. In this study, we provide evidence that Tot gene regulation through JAK/STAT signaling in Drosophila might be restricted to bacterial infections only and is probably not a general feature of viral infections. Tot gene induction upon ZIKV infection indicates a virus-specific mechanism of activation for certain genes in the fly, which could imply a general stress response rather than an antiviral immune mechanism. Predominantly upregulated upon septic injury, Diedel is a negative regulator of JAK/STAT signaling, although its exact molecular function is still unknown (53, 93). ZIKV injection in Drosophila results in significant upregulation of Diedel throughout the course of infection. This finding suggests that ZIKV infection results in negative regulation of JAK/STAT signaling, which could form a potential strategy of ZIKV to evade the host immune response. The NS5 protein of flaviviruses, which is critically involved in replication, is also able to mediate antagonism of JAK/STAT signaling. DENV infection has been associated with loss of STAT2 expression (94), whereas WNV infection results in failed JAK activation (95). In line with these findings, our data further stress that the interaction of flaviviruses with JAK/STAT signaling is particularly complex and requires future thorough examination.
In Drosophila, the main antiviral RNAi pathway relies on siRNAs and involves Ago-2 and Dicer-2 as the central operating genes (5, 29, 31, 32). Our findings show that Ago-2 and Dicer-2 are significantly upregulated in Drosophila flies infected with ZIKV, implying their anti-ZIKV role. Our finding implicating that Dicer-2 regulates ZIKV infection and provides resistance is in contrast to a recent work reporting that Dicer-2 is dispensable in regulating ZIKV replication in Drosophila (8). This discrepancy could be attributed to the genetic nature of the strains used in the recent study. In this study, we further show that whereas Dicer-2 is instrumental in regulating ZIKV replication, the effect of Ago-2 is only marginal. This distinction in the level of surveillance between the two RNAi components is surprising but not unusual. The distinct functions of Ago-2 and Dicer-2 in the context of viral infection have been documented in Drosophila in case of WNV, in which Ago-2 substantially regulates viral replication, whereas Dicer-2 controls viral load at a modest level (11). Several studies in mosquitoes have implicated the siRNA, and in particular, Dicer-2–based immunity in case of ZIKV infection (96, 97). In addition, there have been instances in which knockdown of Ago-2 in mosquito cells has only a modest/marginal effect on replication of DENV and Orthobunyaviruses (98, 99). In a recent report, knockdown of Ago-2 did not lead to increased ZIKV replication, whereas knockdown of Dicer-2 increased ZIKV replication in mosquito cells (97). It is likely that direct dicing of RNA is more relevant in these cases than RISC-mediated antiviral response. Previous evidence also suggests that, independent of RNAi, Dicer-2 can regulate Toll signaling and expression of antiviral gene Vago (55, 100). In the context of ZIKV infection, Dicer-2 loss results in enhanced expression of Vago, suggesting that the induction of Dicer-2 by Vago might be DCV-specific and not a general antiviral response. How exactly RNAi effectors regulate viral replication is thus an intriguing question, and our findings further highlight the specificity of certain RNAi signaling components against different viral pathogens. Identification of putative ZIKV dsRNA targets recognized by Dicer-2 may provide mechanistic insight into how it regulates ZIKV replication in Drosophila.
Our study indicates the importance of siRNAs in anti-ZIKV immunity. It is only recently that other forms of small RNAs, microRNAs (miRNAs) and Piwi-interacting RNAs (piRNAs), have been implicated in mosquito antiviral immunity. Deep sequencing has revealed accumulation of piRNAs during infection of mosquitoes with DENV and Chikungunya virus (101, 102). Infection of A. aegypti with a Mexican strain of ZIKV results in modulation of miRNAs and dramatic increase of siRNAs and piRNAs (103). The role of piRNAs and miRNAs in Drosophila antiviral immunity has also been demonstrated recently. Although infection with DXV, DCV, or SINV failed to trigger any viral-derived piRNAs and mutation in piRNAs, including Ago3, Aub, and Piwi had no effect on Drosophila survival (104), flies and cells infected with DCV showed reduced expression of miR-8-3p, a known antagonist of viral replication in Bombyx mori (105). Further experiments would provide an insight into the contribution of these RNAi pathways in the regulation of ZIKV infection.
For successful infection, a virus should target certain cell types or tissues in the host. The ability to colonize and replicate in a specific host tissue also determines the nature and extent of viral pathogenesis (12, 15, 16, 106). Interestingly, the available information of tissue tropism is restricted to insect-specific viruses, and the tissue tropism in the case of human pathogenic viruses has not been investigated in detail. Unlike the insect-specific viruses, infection with flaviviruses is asymptomatic, and no defect in survival has been reported. This could be one of the reasons for the lack of tissue tropism-related studies in the case of human pathogenic viruses. Our findings indicate that first, 4G2, a flavivirus-specific Ag, is a reliable marker for in vivo detection of ZIKV. Using expression of 4G2 as an indicator of ZIKV infection, our study provides the first demonstration, to our knowledge, of a human pathogenic virus infecting the immune/metabolic tissues of the fly. Infection of these organs further implies the relevance of the tissue tropism in dictating the level of viral pathogenesis that can be local and not always demonstrated at the organismal level (defect in survival).
Although significant advances on the cellular and genetic basis of antiviral immunity in Drosophila have been made, the effects of viral infection on fly physiology have not been widely explored (13, 66). For instance, DCV infection triggers intestinal obstruction marked by crop enlargement due to the disrupted movement of the ingested food in the fly midgut (12). In Drosophila, cytotoxic agents, such as bleomycin or paraquat, or pathogenic bacterial infection can trigger gut remodeling and, in the process, increase ISC proliferation (73, 107, 108). The importance of cell renewal in regulating viral infection has been recently demonstrated in mosquitoes and has been proposed to be one of the primary determinants for the susceptibility to DENV infection (109). Our finding that ZIKV-infected Dicer-2 mutant flies fail to trigger midgut proliferation as compared with the ZIKV-infected wild-type flies, which display considerable increase in ISC proliferation, suggests that, in a manner similar to DENV infection, ISC proliferation might also be acting as a determinant for fly susceptibility to ZIKV. Apart from gut-related perturbations (shown in this study), mutation in Dicer-2 has been linked with a large number of perturbations, including stress and perturbed metabolism (110), and thus could be considered as the host factor dictating the sensitivity or predisposition to infection. Ago-2, in contrast, has not been shown to be involved in any tissue-specific perturbations, which might in turn explain why Ago-2 mutant flies are refractory to ZIKV infection as compared with Dicer-2 mutant flies. Future investigations will explore the extent to which the restricted proliferation of the midgut contributes to the mortality of these susceptible flies. In particular, future efforts could focus on examining the contribution of other pathways (such as Wingless, Hippo, or Notch) to ZIKV-induced ISC proliferation and whether or how the latter could interfere with ZIKV replication.
Emerging evidence indicates that viral infection can modulate lipid metabolism. hepatitis C virus (HCV) and DENV infection in the hepatoma and kidney cell lines has been linked to enhanced lipogenesis and a sharp increase in LD numbers (111, 112). In addition, liver steatosis or fatty liver (the accumulation of LDs) is a commonly observed pathology in hepatitis C virus–infected patients (113, 114). Although the mechanism of lipid accumulation is not known, it has been proposed that certain viruses might reside in LDs to promote their own assembly and replication (115). A recent finding has implicated the role of mosquito gut LDs in regulating replication of DENV (116). The perturbed lipid metabolism has also been observed in Drosophila S2 cells, in which infection with FHV results in increased transcription of genes required for lipid biogenesis (117). Although further studies are required, these previous results suggest that modulation in lipid metabolism could be a general response upon viral infection. Our findings reveal that ZIKV infection in Drosophila flies results in multiple pathologies, most of which are closely associated with lipid metabolic processes. To our knowledge, this is the first in vivo demonstration of perturbed lipid metabolism upon viral infection in Drosophila. Whereas a moderate ZIKV load results in enlarged LDs in wild-type flies, an enhanced load in Dicer-2 mutants results in reduced accumulation of LDs. Reduced size of LDs is a sign of lipodystrophy, which in turn could lead to accelerated death (75, 118).
The reduced energy storage could further be attributed to strikingly decreased insulin signaling in ZIKV-infected Dicer-2 mutant flies. Insulin signaling is one of the main metabolic signaling pathways and previous evidence indicates that reduction in insulin signaling results in depletion of energy reserves, which can lead to infection-induced wasting (65). Impl2, a secreted antagonist of insulin signaling (86), has been implicated recently in robust wasting phenotypes (84, 85). Transcriptional activation of Impl2 in ZIKV-infected Dicer-2 mutant flies further confirms that enhanced ZIKV load could induce host wasting, which points out a potential interplay between host metabolism and viral infection. A fascinating future question pertains to the mechanism by which ZIKV regulates lipid metabolism of the host and how this regulation affects the propagation of the virus. It would also be interesting to investigate the participation of Dicer-2 in ZIKV-induced perturbed lipid metabolism.
Infection-induced behavioral changes are not uncommon. These can be attributed to the pathogen infecting certain tissues and organs in the host, or they can be caused by the host per se in an attempt to store limited resources (119). Of note, locomotion of an organism is strongly correlated with its state of metabolism (120, 121). Mosquitoes infected with DENV or Wolbachia (wMelPop) have been proved more active than uninfected individuals (122, 123). Virus infection–induced behavioral changes are also evident in our study showing that ZIKV-infected Dicer-2 mutant flies (which have been metabolically impaired) suffer from lethargy and display impaired locomotion. Whether this behavioral defect is the result of muscular or nervous dysfunction remains unknown, and it will be further explored to yield more insights into the mechanistic processes governing host–ZIKV interactions.
Taken altogether, our results illustrate the efficacy of Drosophila as model for understanding host–ZIKV interactions. Our findings reveal that ZIKV can replicate in Drosophila and the resulting infection can cause severe pathophysiological defects. The key insights into identifying the genetic basis of the interplay between Drosophila and ZIKV will undoubtedly assist in unraveling conserved anti-ZIKV immune mechanisms in mammals, perhaps even humans, and will contribute toward developing efficient strategies for blocking the transmission of ZIKV and other flaviviruses by mosquito vectors.
Acknowledgements
We thank Prof. Jean-Luc Imler (University of Strasbourg, Strasbourg, France) for providing the Ago-2 mutant, Prof. Eric C. Lai (Sloan-Kettering Institute, New York, NY) for trans-combination of Ago-2 and deficiency line, Prof. Richard Carthew (Northwestern University, Evanston, IL) for sharing the Dicer-2 mutants, and Dr. Alex Jeremic’s laboratory (Department of Biological Sciences, The George Washington University) for providing assistance with confocal microscopy. We also thank members of the Department of Biological Sciences at The George Washington University for critical reading of the manuscript.
Footnotes
This work was supported by an administrative supplement through Grant R01AI110675 from the National Institute of Allergy and Infectious Diseases and by funds through The George Washington University SMHS IMP program (to D.F.N.).
The online version of this article contains supplemental material.
Abbreviations used in this article:
- DCV
Drosophila C virus
- DENV
dengue virus
- dpi
day postinjection
- DXV
Drosophila X virus
- EE
enteroendocrine cell
- FHV
Flock House virus
- Imd
immune deficiency
- ISC
intestinal stem cell
- LD
lipid droplet
- miRNA
microRNA
- PH3
phospho-histone 3
- piRNA
Piwi-interacting RNA
- qRT-PCR
quantitative RT-PCR
- RISC
RNA-induced silencing complex
- RNAi
RNA interference
- SINV
Sindbis virus
- siRNA
small interfering RNA
- Tot
Turandot
- VSV
vesicular stomatitis virus
- WNV
West Nile virus
- ZIKV
Zika virus.
References
Disclosures
The authors have no financial conflicts of interest.