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. 2022 Sep 8;18(9):e1010329. doi: 10.1371/journal.ppat.1010329

Arbovirus-vector protein interactomics identifies Loquacious as a co-factor for dengue virus replication in Aedes mosquitoes

Benoit Besson 1, Oscar M Lezcano 1, Gijs J Overheul 1, Kirsten Janssen 1, Cornelia G Spruijt 2, Michiel Vermeulen 2, Jieqiong Qu 1, Ronald P van Rij 1,*
Editor: Alain Kohl3
PMCID: PMC9488832  PMID: 36074777

Abstract

Efficient virus replication in Aedes vector mosquitoes is essential for the transmission of arboviral diseases such as dengue virus (DENV) in human populations. Like in vertebrates, virus-host protein-protein interactions are essential for viral replication and immune evasion in the mosquito vector. Here, 79 mosquito host proteins interacting with DENV non-structural proteins NS1 and NS5 were identified by label-free mass spectrometry, followed by a functional screening. We confirmed interactions with host factors previously observed in mammals, such as the oligosaccharyltransferase complex, and we identified protein-protein interactions that seem to be specific for mosquitoes. Among the interactors, the double-stranded RNA (dsRNA) binding protein Loquacious (Loqs), an RNA interference (RNAi) cofactor, was found to be essential for efficient replication of DENV and Zika virus (ZIKV) in mosquito cells. Loqs did not affect viral RNA stability or translation of a DENV replicon and its proviral activity was independent of its RNAi regulatory activity. Interestingly, Loqs colocalized with DENV dsRNA replication intermediates in infected cells and directly interacted with high affinity with DENV RNA in the 3’ untranslated region in vitro (KD = 48–62 nM). Our study provides an interactome for DENV NS1 and NS5 and identifies Loqs as a key proviral host factor in mosquitoes. We propose that DENV hijacks a factor of the RNAi mechanism for replication of its own RNA.

Author summary

Dengue virus is a mosquito-transmitted virus endemic to the tropics and subtropics, affecting an estimated 390 million people yearly. While the mechanisms of infection, pathogenesis and immune evasion have been extensively studied in humans, replication in Aedes mosquitoes has received much less attention, despite being a critical step in the arbovirus transmission cycle. Here, we used a proteomic approach to identify Aedes mosquito proteins recruited by dengue virus non-structural proteins NS1 and NS5. In addition to previously established host proteins that interact with DENV in mammals, we identified Loquacious, a double-stranded RNA binding protein involved in the RNAi-based antiviral immune response of mosquitoes. Unexpectedly, our data showed that Loquacious functions as a proviral factor that is recruited to replication organelles to facilitate viral replication. We propose that DENV exploits host immune components, such as Loquacious, for its own benefit.

Introduction

Mosquito-borne flaviviruses such as dengue virus (DENV) and Zika virus (ZIKV) are transmitted between humans by Aedes mosquitoes, causing major public health and economic burden in the tropics and subtropics [1]. Whereas Aedes aegypti is considered the most common vector for DENV transmission, vector competence of Aedes albopictus and its ability to adapt to colder climates raise concerns of a shift of arbovirus endemic regions toward the Northern hemisphere, further enhanced by global warming [25]. As no specific treatment against DENV is available and vaccine development faces many obstacles [6], there is a need to understand the mechanisms of flavivirus replication in mosquitoes to develop transmission blocking strategies.

Flaviviruses have a single-stranded (ss), positive-sense RNA genome that is translated upon release into the host cell and replicated at the membrane of the endoplasmic reticulum (ER), where viral proteins hijack the host cell machinery to form membrane invaginations functioning as viral replication organelles [7]. While structural proteins are essential for viral entry, assembly and release of viral particles, non-structural (NS) proteins together with host factors are required for viral RNA replication and modulation of host cell functions. Expressed in the lumen of the ER and released outside of the host cell, NS1 is an important pathogenicity factor in mammals [8,9]. In addition, NS1 contributes to the formation of viral replication organelles and recruits the oligosaccharyltransferase (OST) complex, as well as mRNA translation and protein folding factors [1012]. As the viral RNA-dependent RNA polymerase, NS5 cooperates with other viral and host proteins to replicate the viral RNA, but also interacts with host proteins to suppress Jak-STAT signaling and modulate the spliceosome [13].

For transmission to a mammalian host, arboviruses need to efficiently replicate in their mosquito vector, which, like in mammals, requires extensive virus-host protein-protein interactions. Flavivirus host factors have been extensively studied in mammalian models using proteomics [10,1315] as well as other high-throughput approaches such as RNAi and CRISPR screens [11,1619]. In comparison, few studies have addressed flavivirus host factors in mosquitoes. While it is likely that flaviviruses use homologous host proteins and cellular processes in mosquitoes and mammals, this has only been confirmed for few proteins, such as SEC61 [14,19]. Given the evolutionary distance, the different physiologies and diverse immune systems of mosquitoes and mammals, it is to be expected that flavivirus proteins additionally interact with specific sets of proteins in mosquito vector and vertebrate host.

A key element differentiating mosquito and mammalian immunity is the crucial role of RNAi in antiviral defense in insects [2022]. Double-stranded (ds)RNA formed during viral replication is cleaved by the nuclease Dicer-2 into small interfering (si)RNA duplexes that are loaded into Argonaute 2 (Ago2) to guide the recognition and cleavage of complementary viral RNA. Loading of siRNA duplexes into Argonaute proteins is facilitated by the paralogous dsRNA-binding proteins R2D2, Loquacious (Loqs) and Loqs2, the latter of which is unique to Aedes mosquitoes [2327].

The Ae. aegypti Loqs gene encodes multiple, non-redundant spice isoforms [24], of which Loqs-PB along with R2D2 facilitates siRNA processing, whereas Loqs-PA is required for microRNA (miRNA) processing [24]. In line with a function in siRNA processing, it was found that silencing R2D2, Dicer-2 and Ago2 increases DENV replication [28]. In addition, the mosquito specific Loqs2 interacts with Loqs and R2D2 and is essential to control systemic flavivirus infections in vivo [23]. In the current manuscript, we use the Loqs transcript annotation of the Ae. aegypti reference genome AaegL5. Note that the Loqs annotation in AaegL5 does not correspond to the annotation used in [24]. The transcript referred to as Loqs-RA by Haac et al. [24] corresponds to Loqs-RB in AaegL5 and vice versa. The transcript referred to as Loqs-RC by Haac et al. does not exist in AaegL5.

To identify host proteins interacting with DENV proteins in mosquitoes, we purified FLAG-tagged DENV NS1 and NS5 expressed in Aedes cells in the context of all DENV non-structural proteins, followed by quantitative mass spectrometry. We identified Loqs as an essential co-factor for DENV and ZIKV RNA replication, independent of its function in RNAi. We showed that Loqs interacts with the 3’ untranslated region of DENV RNA and localizes to viral replication organelles during infection of Aedes cells. Our data provide new insights into flavivirus replication in mosquitoes and illustrate a case in which a potential antiviral protein, Loqs, is recruited by a virus for its own benefit.

Results

Interactome of DENV NS1 and NS5 proteins in Aedes mosquito cells

To identify host factors that interact with DENV proteins in an RNA-independent manner in mosquitoes, we established a system to express all non-structural proteins in Ae. albopictus cells. Expression of non-structural proteins in the absence of viral RNA is sufficient to induce membrane rearrangements, reminiscent of those induced during viral infections [7,29]. All non-structural genes were cloned under the control of an Ae. aegypti poly-ubiquitin promoter (PUb), introducing a 3xFLAG tag at the N-terminus of NS1 after the ER localization signal and conserving the signal peptidase cleavage site, or at the C-terminus of NS5, according to previous work [10,13] (Fig 1A). Expression of the recombinant proteins in RNAi-deficient Ae. albopictus C6/36 cells was confirmed by western blot, and both FLAG-tagged NS1 and NS5 were efficiently concentrated by FLAG immunoprecipitation (Fig 1B). As expected, NS1 and NS5 were expressed in distinct cell compartments in C6/36 cells (Fig 1C).

Fig 1. Interactome of NS1 and NS5 in Aedes mosquito cells.

Fig 1

A. Schematic representation of constructs used to express DENV non-structural proteins in mosquito cells. Constructs were generated with a 3xFLAG tag at the N-terminus of NS1 (NS(1F)) or the C-terminus of NS5 (NS(5F)). A construct without a tag (NS(ØF)) was included as a control. 2A, self-cleaving peptide from foot-and-mouth disease virus; PAC, Puromycin N-acetyltransferase. Mosquito image by Mariana Ruiz Villarreal, licensed under CC0. Fig: https://bioicons.com/?query=mosquito. B. Western blot of input and FLAG immunoprecipitation samples of C6/36 cells expressing NS(ØF), NS(1F) and NS(5F), stained with FLAG and α-tubulin (Tub) antibodies. See uncropped gel in S5 Fig. C. Confocal microscopy image of FLAG-tagged NS1 and NS5 in C6/36 cells at 24 h after transgene transfection. Cells were stained with anti-FLAG M2 antibody (green) and Hoechst to stain nuclei (blue). D. Volcano plot of proteins interacting with 3xFLAG-tagged NS1 (top) or NS5 (bottom) in C6/36 cell lysates as determined by label-free quantitative mass spectrometry. The X-axis shows the log2 fold change (FC) over untagged NS(ØF) (control), and the Y-axis shows -log10(p-value). Proteins in the top right are identified as significantly enriched proteins. Colored dots indicate proteins of interest. Each condition was performed in triplicate. Proteins are named according to the fly ortholog, as defined in S1 Table. E. Heatmap of the relative enrichment (red) and depletion (blue) of proteins in each sample, based on row-mean subtraction and K-means clustering. Statistically significant enrichment in the volcano plot analysis is indicated, p < 0.05. Ost48 and Stt3A were included, although not significantly enriched. ‘Low’ indicates an enrichment between 2 and 2.5-fold, below the threshold of the volcano plot.

We characterized the interactome of FLAG-tagged NS1 and NS5 in C6/36 cells by FLAG immunoprecipitation, followed by label-free mass spectrometry (Fig 1D and 1E and S1 Table). To prevent false-positives due to perturbation of the cellular proteome by DENV non-structural proteins [30], we used untagged DENV non-structural proteins as a control. NS1 interacted with 55 proteins, including the viral NS2A, NS3, NS4A and NS4B proteins, whereas NS5 interacted with 45 proteins, including NS1, NS2A, NS3 and NS4A, and a total of 15 host proteins interacted with both NS1 and NS5 (Figs 1D, 1E and 2A and S1 Table). NS2B peptides were not detected, likely due to limitations of detection. However, given that NS2B is a cofactor for the NS3 protease and polyprotein processing was efficient (Fig 1B), NS2B is likely expressed at physiologically relevant levels. The identification of viral non-structural proteins in NS1 and NS5 immunoprecipitations confirmed the formation of macromolecular complexes in the absence of structural proteins and viral RNA in our experimental system.

Fig 2. Characterization of DENV NS1 and NS5 interactomes.

Fig 2

A. Venn diagram of 85 interactors of NS1 and/or NS5 identified by mass spectrometry (Fig 1E). B. GO term analyses of interactors of NS1 (top panel) and NS5 (lower panel). Enrichment of biological processes was based on D. melanogaster ortholog annotation. Numbers indicate -log10 p values. See complete list of GO terms in S2 Table. C. Functional STRING networks based on D. melanogaster ortholog annotation, using the following four sources: text mining, experiments, databases or co-expression. Hits were classified and colored according to their enrichment in ≥ 2 out of 3 NS(1F) or NS(5F) samples in the heatmap of Fig 1E. Node sizes represent the fold enrichment in NS(1F) or NS(5F) immunoprecipitation, keeping the highest value if the interactor was present in both. Edges are representative of the number of sources (solid or dashed) and the confidence (color) supporting the interaction as defined by STRING. Font indicates hits confirmed (bold) or not (italic) as modulators of DENV in the functional screening (Fig 3).

Biological processes and functional protein network analysis identified several functional protein clusters in association with NS1 and NS5 (Fig 2 and S2 Table). Among the cellular interactors enriched at least two-fold in NS1 immunoprecipitations, we identified 11 proteasome subunits and five proteins of the OST complex (Figs 1D, 1E and 2 and S1 Table): Oligosaccharide transferase Δ subunit (OstΔ, ortholog of human ribophorin II, RPN2), Oligosaccharide transferase γ subunit (OSTγ, ortholog of human MAGT1), UDP-glucose-glycoprotein glucosyltransferase (UGGT, ortholog of human RPN1), Oligosaccharyltransferase 48kD subunit (OST48, ortholog of human dolichyl-diphosphooligosaccharide-protein glycosyltransferase non-catalytic subunit, DDOST) and catalytic subunit 3A of the oligosaccharyltransferase complex (STT3B).

Amongst the cellular interactors enriched in NS5 immunoprecipitations, we identified three elements of the survival of motor neuron (SMN) complex involved in the spliceosome and small nuclear ribonucleoprotein (snRNP) assembly (Gemini 2, Gemini 3 and Smn) as well as the E3 ligase HYD (ortholog of human UBR5). In mammals, the OST complex and proteasome have previously been described as proviral host factors interacting with DENV NS1 [10,3133], NS5 was shown to hijack the snRNP and UBR5 was purified with NS5 [13], illustrating virus-host interactions that occur both in the mosquito vector and human host. Together, these data validate our experimental model to identify physiologically relevant protein-protein interactions between virus and mosquito vector.

Identification of DENV proviral and antiviral host factors

From the 79 host proteins interacting with NS1 and/or NS5, we selected 22 hits for a functional knockdown screen in the RNAi competent Ae. albopictus U4.4 cell line (Fig 3A). Cells were transfected with dsRNA, infected with DENV, and viral RNA was quantified by RT-qPCR. From the initial screen (Fig 3B), 10 hits were selected for a confirmation screen with a second set of dsRNA, targeting a different region of the gene to rule out off-target effects (Fig 3C). We classified genes as high or low-confidence hits, based on selective criteria for gene knockdown efficiency, effect of gene knockdown on DENV RNA levels, and consistency between both dsRNA data sets.

Fig 3. Functional screen identifies Loqs as a DENV proviral host factor in Aedes mosquitoes.

Fig 3

A. Schematic outline of the functional RNAi screen. B-C. Relative quantification of target gene expression (top panel) and DENV RNA levels (lower panel) in U4.4 cells upon silencing of the indicated genes. Selected genes from the initial screen (B) were tested in an independent validation screen (C) using dsRNA targeting a different region of the gene. Expression was quantified by RT-qPCR, normalized to the house-keeping gene ribosomal protein L5, and expressed relative to expression in cells treated with dsRNA targeting firefly luciferase (GL3). Ago2 was used as a positive control. Data represent means and standard deviation of three replicates. Color coding represents classification of hits based on gene knockdown efficiency, phenotype, and consistency between screens. Light grey, inefficient knockdown (< 0.5-fold); dark grey, no phenotype despite efficient knockdown (> 0.5-fold); dark red, strong hit with efficient knockdown and DENV RNA levels < 0.66-fold or >1.5-fold in both dsRNA sets; light red, weak hits for which one of the criteria was not met. One-way ANOVA were used to determine statistically significant differences with the GL3 control, with: * p < 0.05; ** p < 0.01; *** p < 0.001; **** p < 0.0001.

One NS1 interactor was identified as proviral factor as silencing consistently resulted in a decrease in viral RNA levels (Fig 3B and 3C), Loquacious (Loqs, ortholog of human TARBP2) as well as two NS5 interactors: the E3 ubiquitin-protein ligase HYD (ortholog of human UBR5) and Muskelin. Four NS1 interactors were found to be antiviral as silencing consistently resulted in an increase in viral RNA levels (Fig 3B and 3C): OSTΔ (RPN2), RNA polymerase I subunit H or RPL12 (ortholog of human RPA12), DISCO-interacting protein 1 (DIP1, ortholog of human ADARs), ER retention protein RER1, in addition to one common NS1/NS5 interactor, HSP60A.

Among the hits, knockdown of the RNAi cofactor Loqs had the strongest phenotype with up to 70–90% inhibition of DENV RNA levels (Fig 3B and 3C). Two potential Loqs host interactors were also included in the functional screen (Fig 2). Pancreatic eIF2A-α kinase (PEK), distant ortholog of human PRKRA known to interact with the human Loqs ortholog TARBP2, was not efficiently silenced, and knockdown of RNA helicase Gemini 3 (ortholog of human DEAD box helicases like DDX20) [3437] did not modulate DENV replication (Fig 3C). The finding that Loqs is a proviral host factor was unexpected, given that Loqs is an essential cofactor of RNAi, a pathway with antiviral activity in mosquitoes. For this reason and because of the strong NS1 association (Fig 1D and 1E) and consistent phenotype (Fig 3B and 3C), we focused the remainder of the study on Loqs, using Ae. aegypti as a model, for which a better genome annotation is available than for Ae. albopictus.

Loqs is a flavivirus proviral factor in Ae. aegypti

The Loqs gene (AAEL008687) encodes three splice isoforms, which differ from each other by the presence or absence of short exons. Loqs-RA and Loqs-RB are very similar to each other, except that the 144 nt-long exon 5 is retained in Loqs-RA. Loqs-RC is a shorter isoform, in which exon 6 is retained, but exon 7 is skipped (Fig 4A). As a consequence, the gene products Loqs-PA and Loqs-PB contain two dsRNA-binding domains (dsRBD, IPR014720) as well as a Staufen, C terminal domain (IPR032478), which may be involved in protein-protein interactions. Loqs-PC contains only the two N-terminal dsRBDs.

Fig 4. Loquacious is an essential co-factor for flavivirus replication.

Fig 4

A. Structure of Loquacious splice variants in Ae. aegypti and maximum likelihood phylogenic tree based on the protein sequence of Loqs-PA and its orthologs and paralogs. ce, Caenorhabditis elegans; dm, Drosophila melanogaster; h, Homo sapiens; aae, Ae. aegypti; aal, Ae. albopictus. Percentages indicates the identity between protein sequences compared to Ae. aegypti Loqs-PA. Branch lengths are proportional to the number of substitutions per site. Loqs transcript annotation is according to the reference genome AaegL5, which differs from the annotation used in [24]. dsRBD, dsRNA-binding domain. B. Loqs peptides identified by mass spectrometry in NS1 immunoprecipitations. The peptide unique to Loqs-PB is indicated in blue; other peptides are shared between Loqs isoforms. C. Loqs-RA and Loqs-RB specific amplicons from PCR using primers spanning exon 5 on cDNA from Aag2 cells. D. PCR amplification of Loqs splice variants with various set of primers on cDNA or genomic DNA isolated from Aag2 cells. Numbers indicate expected sizes. E. Relative quantification of DENV RNA at 72 h infection of Aag2 cells in which siRNA and miRNA pathway genes were silenced. F. Relative quantification of DENV RNA or ZIKV RNA at the indicated time after infection in Ago2 or Loqs depleted Aag2 cells. G. Titration of DENV (left) and ZIKV (right) from the supernatant of Loqs depleted Aag2 cells after 48h of infection at an MOI of 0.01. H. Renilla luciferase activity in Aag2 cells transfected with DENV2 replicon RNA and dsRNA targeting Loqs (dsLoqs) or firefly luciferase (dsGL3) as a control. Luciferase activity was assessed at the indicated time points and normalized to dsGL3-treated cells at 3 h after transfection. Cells treated with cycloheximide (CHX) were included as control. I. Relative quantification of DENV (left) or ZIKV (right) total viral RNA or antisense viral RNA after infection of Loqs depleted Aag2 cells of infection at an MOI of 0.01. J-K. Relative quantification of DENV (H) and ZIKV (I) RNA (left) and vsiRNAs (right) at 48 h after infection of Loqs depleted or control (GL3 dsRNA treated) Aag2 cells. vsiRNAs were normalized to the cellular piRNA tapiR1 and viral RNA to correct for library size and viral RNA levels. L. Relative quantification of DENV (left) and ZIKV (right) RNA levels at 48 h after infection in wild type (wt), U4.4-Ago2KO, or U4.4-Ago2KO; LoqsKO cells at an MOI of 0.01. ZIKV was undetectable (n.d.) in U4.4-Ago2KO; LoqsKO cells and relative viral RNA copies were calculated using imputed Ct values of 40. Viral RNA levels were quantified by RT-qPCR, normalized to the housekeeping gene lysosomal aspartic protease (E-F, I-L) and expressed relative to cells treated with dsRNA targeting luciferase (dsGL3) as negative control. See relative knockdown efficiencies in S2 Fig. Bars represent mean and standard deviation from at least three biological replicates. Non-parametric one-way ANOVA (E) and two-tailed student’s t-tests (F, I-L) were used to determine statistically significant differences with the control: * p < 0.05; ** p < 0.01; *** p < 0.001; **** p < 0.0001.

From the mass spectrometry data, we identified one peptide unique to Loqs-PA in NS1 immunoprecipitations, whereas other peptides were shared between the three isoforms (Fig 4B). Using primers flanking exon 5 (Fig 4C and S3 Table) as well as unique primers to distinguish the isoforms (Fig 4D and S3 Table), we showed that Loqs-RA and Loqs-RB are expressed at similar levels in Ae. aegypti Aag2 cells, whereas Loqs-RC is only lowly expressed, in line with its low expression in vivo (S2A Fig). Together, these results indicate that NS1 interacts with Loqs-PA, although we cannot rule out interactions with Loqs-PB and Loqs-PC (Fig 4B). The reverse experiment, Loqs-PA immunoprecipitation from DENV infected Aag2 cells followed by mass spectrometry (S1 Fig and S4 Table) identified the RISC-associated proteins R2D2, Loqs2, Ago1, Dicer-1, and Dicer-2. Of interest, several RNA-binding proteins interacted with Loqs, including DIP1 found to interact with NS1 in Fig 1D, Loqs2 previously found to interact with Loqs by Olmo et al. [23], and AAEL004859 which was shown to have a strong antiviral effect on DENV [38]. Notably, this analysis confirmed the interaction of Loqs with DENV non-structural proteins NS1, NS3 and NS5, enriched by 4.9-, 6.1- and 10.7-fold, respectively.

To analyze which of the Loqs isoforms is responsible for the observed proviral phenotype, we compared DENV replication after RNAi-mediated knockdown of specific Loqs isoforms as well as other components of the miRNA and siRNA pathways in Aag2 cells (Fig 4E). Silencing of Ago2 resulted in an increase in viral replication, in agreement with the antiviral activity of the RNAi pathway, whereas silencing Dicer-1, responsible for miRNA maturation, and R2D2 and Loqs2 did not affect DENV replication. In contrast, silencing of all Loqs isoforms combined resulted in a 60% reduction in DENV RNA levels (Fig 4E), confirming our observations in Ae. albopictus U4.4 cells (Fig 3B and 3C). Furthermore, silencing of the Loqs-RA isoform specifically was associated with a 43% reduction in DENV RNA levels, whereas Loqs-RC silencing did not affect DENV replication, in line with its low expression (Fig 4E). Due to the Loqs gene structure, it was impossible to design dsRNA that specifically targets Loqs-RB but not the other isoforms. These results indicate that Loqs-PA and likely Loqs-PB are proviral host factors for DENV replication in Ae. aegypti.

To further characterize the role of Loqs in flavivirus replication, we compared the effect of Loqs silencing on DENV and ZIKV replication. Loqs silencing reduced viral RNA levels for both viruses at all time points analyzed (Fig 4F and S2C Fig), although the effect of Loqs silencing was consistently stronger for ZIKV (up to 90% inhibition at 48 h). Importantly, Loqs silencing resulted in a significant, > 9- and 33-fold reduction of infectious particles in the culture supernatant for DENV and ZIKV, respectively (Fig 4G and S2D Fig). These results suggest that Loqs is a proviral host factor for multiple flaviviruses in Aedes mosquitoes.

Loqs does not affect RNA stability

To analyze the effect of Loqs on viral RNA stability and translation, we monitored translation efficiency of DENV RNA in cells in which Loqs was silenced [39]. To this end, Renilla luciferase expression was monitored after transfection of subgenomic replicon RNA into Ae. aegypti Aag2 cells, under experimental conditions in which replicon RNA is translated but not replicated (Fig 4H). Luciferase expression from direct translation of the transfected viral RNA was similar in cells treated with Loqs dsRNA or control dsRNA, whereas luciferase expression was blocked upon treatment with the translation inhibitor cycloheximide (CHX), as expected. These results suggest that Loqs does not affect viral RNA stability and translation efficiency, but that it is required for viral RNA replication.

To confirm the role of Loqs in DENV and ZIKV replication, we quantified the negative strand, antigenomic RNA and found that negative-strand synthesis was strongly inhibited upon Loqs knockdown (Fig 4I and S1D Fig). Taken together, our data suggest that Loqs is involved in the replication of viral RNA.

Loqs proviral activity is independent of its RNAi regulatory functions

Having established the importance of Loqs for flavivirus replication, we further characterized its role during viral replication. As Loqs is a co-factor of the antiviral siRNA pathway [24], it is unlikely that its proviral phenotype is dependent on RNAi. To directly test this, we sequenced small RNAs produced in Loqs-depleted Aag2 cells infected with DENV or ZIKV. To account for differences in virus accumulation upon Loqs silencing, virus-derived siRNA (vsiRNA) levels were normalized to virus RNA levels in the same sample used for small RNA sequencing. Despite efficient silencing of Loqs expression (S2E Fig) and consequent reduction of viral RNA levels, no differences were observed in normalized DENV or ZIKV-derived vsiRNA levels (Fig 4J and 4K). Moreover, we did not observe major differences in miRNA levels upon Loqs knockdown (S2F and S2G Fig), as also observed previously when both isoforms were depleted [24].

To provide further genetic support that the proviral activity of Loqs is independent of RNAi, we used CRISPR/Cas9 gene editing on U4.4 cells lacking functional Argonaute 2 (Ago2KO cells) to introduce frameshift mutations in Loqs (S3 Fig), thus generating U4.4 cells in which both Ago2 and Loqs are functionally inactive (U4.4-Ago2KO; LoqsKO). As expected, a strong increase in viral replication was observed for both viruses in U4.4-Ago2KO cells compared to wildtype (wt) U4.4 cells. In contrast, viral RNA levels were strongly reduced in U4.4-Ago2KO; LoqsKO cells, indicating that the proviral activity of Loqs is independent of its function in the RNAi pathway and essential for viral replication (Fig 4L).

Loquacious colocalizes with dsRNA in viral replication organelles

Considering that Loqs contains multiple dsRBD domains, we explored the potential role of Loqs as a cofactor of viral RNA replication. We analyzed subcellular localization of Loqs-PA and Loqs-PB in mock and DENV infected Aag2 cells (Fig 5A). In non-infected cells, GFP-tagged Loqs-PA or Loqs-PB showed a discrete, punctate staining across the cytoplasm as well as lower, diffuse staining in the cytoplasm. Moderate dsRNA signal was detected in the nucleus, likely corresponding to sites of high production of structured cellular RNA, which was clearly distinct from the strong cytoplasmic dsRNA signal in infected cells. In DENV-infected cells, both Loqs isoforms showed a punctate pattern in the cytoplasm, but the signal was strongly enriched in perinuclear puncta. Importantly, for both isoforms a strong colocalization with viral dsRNA was observed, suggesting that Loqs relocalizes to viral replication organelles in infected cells (Fig 5B).

Fig 5. Loquacious colocalizes with DENV replication organelles.

Fig 5

A. Confocal microscopy images of mock or DENV infected Aag2 cells. Cells were transfected at 72 h post infection with plasmids encoding the indicated transgenes or mock transfected (Ø) and processed for microscopy 24 h later. Cells were stained with anti-dsRNA J2 antibody (red) and Hoechst to stain nuclei (blue). Scale bar corresponds to 5 μm and is the same for all panels. In mock infected cells, a nuclear background signal is detectable that is distinct from the cytoplasmic viral dsRNA signal in DENV infected cells. B. Three-dimensional visualizations of two DENV infected Aag2 cells transfected with Loqs-PA-GFP indicated with a dashed square in panel A. The dsRNA and GFP signals were optimized for visualization in the three-dimensional projection. The grid is scaled with 2 μm xyz units.

We next investigated whether Loqs directly interacts with DENV RNA. To this end, we purified recombinant Loqs-PA and Loqs-PB as a fusion protein with maltose binding protein (S4 Fig) and performed electrophoretic mobility shift assays (EMSA). As expected, Loqs-PA and Loqs-PB bound specifically and with high affinity (2–18 nM) to control dsRNA in gel mobility shift assays (Fig 6A and 6B). We next incubated Loqs with in vitro transcribed single-stranded RNA (ssRNA) corresponding to the DENV 5’ untranslated region (UTR), the 3’UTR, as well as coding sequences in the NS1 and NS5 genes, and complexes were resolved on native polyacrylamide gels. We found that both Loqs isoforms bound with high affinity (48–62 nM) to the DENV 3’UTR, whereas binding to the other RNAs was much less efficient (Fig 6C). Interestingly, multiple Loqs-3’UTR complexes were formed at higher Loqs concentrations, suggesting that Loqs may bind to multiple RNA structures in the 3’ UTR. Altogether, we propose that DENV non-structural proteins recruit Loqs to viral replication organelles, where it interacts likely through its dsRNA-binding motifs with viral RNA to facilitate viral RNA replication.

Fig 6. Loquacious interacts directly with DENV 3’UTR.

Fig 6

A. Electrophoretic mobility assay of Ae. aegypti Loqs-PA (left panel), Loqs-PB (right panel) and GFP control with a 117 bp 32P labeled dsRNA corresponding to the firefly luciferase sequence. dsRNA was incubated with 5-fold dilutions of recombinant maltose-binding protein (MBP)-Loqs or MBP-GFP and complexes were resolved on native polyacrylamide gels. B. Quantification of (A) with dissociation constants for the indicated protein. C. Electrophoretic mobility assay of Ae. aegypti Loqs-PA (left panels) and Loqs-PB (right panels) with the indicated ssRNAs corresponding to DENV2 5’ UTR, NS1, NS5 and 3’ UTR sequences. Top panel indicates a schematic representation of the position of the probes on the DENV genome (not to scale). ssRNA was incubated with 2-fold dilutions of recombinant MBP-Loqs and complexes were resolved on native polyacrylamide gels. The images of the free ssRNA and the Loqs-RNA complex for the 5’ UTR are cropped from the same gel. Full images are provided in S5 Fig. D. Quantification of (C) with dissociation constants for the indicated RNAs.

Discussion

Arboviruses replicate efficiently in their invertebrate vectors as well as in their vertebrate hosts, and viral RNA and proteins thus interact with cellular proteins from these evolutionary diverse hosts. In this study, we used a proteomic approach to identify proteins interacting with DENV NS1 and NS5 in Aedes mosquitoes. Among the interactors, we identified the dsRNA binding protein Loquacious as a DENV and ZIKV proviral factor that interacts with viral RNA at the 3’ UTR. We propose that Loquacious is recruited to replication organelles to facilitate viral RNA replication. Loquacious is a cofactor of RNA silencing pathways [24] and our data thus suggest that DENV exploits proteins of an antiviral immune response for its own benefit. The human Loqs ortholog TARBP2 (also known as TRBP), a cofactor for HIV-1 replication that binds to the structured TAR RNA element [40], has been found to weakly interact with DENV NS1 [10], suggesting that the interaction may play a role in both mammals and mosquitoes.

While our manuscript was under revision, Shivaprasad et al. reported findings in support of our conclusions [41]. In that study, Loqs was identified using an unbiased approach to identify cellular proteins interacting with the DENV 3’UTR in mosquito cells. Like our results, Loqs was found to be a proviral host factor in Aedes cells, affecting viral replication but not RNA stability [41]. Interestingly, Loqs was confirmed as a proviral factor for Aedes-associated DENV, ZIKV, and yellow fever virus, but not for the Culex-associated West Nile virus, suggesting specificity for Aedes-associated flaviviruses.

Like in Drosophila [2527], there seems to be functional specialization among Loqs paralogs in Aedes mosquitoes. Loqs-PA was proposed to be essential for miRNA function, and R2D2 and Loqs-PB to be involved in siRNA production, although the relative importance of the isoforms could not be fully resolved [24]. Later, it was found that Aedes encodes another paralog, Loqs2, the product of which interacts with both R2D2 and Loqs, and is essential for antiviral defense [23]. Interestingly, Loqs2 has a more restricted expression than R2D2 and Loqs and it is not expressed in the midgut, the site of initial replication of arboviruses in the mosquito, whereas other RNAi pathway genes, including Loqs and R2D2 are. This suggests that complex dynamics between proviral Loqs and antiviral Loqs2 may take place in mosquitoes and it would require further investigation to determine how Loqs affects viral replication in vivo.

Three Loqs isoforms are annotated in the current Ae. aegypti reference genome (AaegL5), of which the isoform with only two dsRBDs, Loqs-RC, is only lowly expressed and did not affect DENV replication in our experiments. We recovered one peptide specific to isoform Loqs-PA in the NS1 interactome and Loqs-RA silencing reduced DENV replication. However, we expect Loqs-PB to be proviral as well, as it bound DENV RNA and localized to replication organelles to a similar extent as Loqs-PA.

As expected, Loqs interacted efficiently with dsRNA, but we found it to also bind with high affinity to ssRNA corresponding to the DENV 3’ UTR. The 3’ UTR is extensively structured in diverse stem-loop structures, including pseudoknots (PK1 and PK2), dumbbell-like structures (DB1 and DB2), as well as a long 3′ terminal stem-loop (3′ SL) [42,43]. The 3’ SL mediates RNA-RNA interactions between the 5’ and 3’ ends of the genome, essential for viral RNA replication. Specifically, interaction of a cyclization sequence upstream of the initiator AUG, called the upstream AUG region (5’ UAR), with a complementary sequence in the stem of the 3’ SL (3’ UAR) mediates genome circularization required for initiation of negative-strand RNA synthesis [44,45]. It is likely that interaction of Loqs with the 3’ UTR affects accessibility and stability of RNA structures or the transition between linear and circularized states of the DENV genome akin to eukaryotic translation elongation factor (eIF1A) that interacts with the 3’SL to mediate flavivirus negative-strand RNA synthesis in mammals [46].

NS1 interacts with other viral non-structural proteins, is essential for early events in viral RNA replication and replication organelle formation, and colocalizes with viral dsRNA [12,47,48]. We identified Loqs as an interactor of NS1, expressed as part of a polyprotein with other non-structural proteins flanked by non-viral UTRs, suggesting that Loqs was recruited to NS1 via protein-protein interactions. In contrast, Loqs was not identified in the interactome of NS1 expressed individually in mosquito cells [33]. Given that NS1 is an ER resident protein secreted through the secretory pathway [49,50] and that Loqs is a cytoplasmic protein, the interaction of Loqs with NS1 is likely to be an indirect one, mediated by other viral non-structural proteins interacting with NS1. Indeed, Shivaprasad et al. detected NS3 by western blot analyses of immunoprecipitations of HA-tagged Loqs (NS1 was not tested) [41] and we detected NS1, NS3 and NS5 in immunoprecipitations of GFP-tagged Loqs by mass spectrometry.

In addition to Loqs, we found multiple other interactors of NS1 and NS5 that merit further investigation, including the putative pro- and antiviral factors identified in the functional screen. Proviral E3 ubiquitin-protein ligase HYD (UBR5) was recently identified as a proviral host factor of ZIKV in a capsid interactome study in mosquitoes [51], and the human ortholog UBR5 was also found to interact with DENV NS5 [13], suggesting HYD/UBR5 to be a broad cofactor for flaviviruses. The independent pull-down of HYD with the capsid and NS5 proteins in, respectively, the Gestuveo et al. study [51] and the present study suggests a prominent role of ubiquitin metabolism in flavivirus replication in mosquitoes. The identification of several proteins associated with ubiquitin metabolism (proteasome subunits β1, β2, α5 and α6, piccolo, mahjong and proviral muskelin) in our NS5 immunoprecipitations agrees with previous reports suggesting that NS5 functions as an adaptor for the ubiquitination system in humans, as it interacts with several E3-ligases, including UBR4 to promote the degradation of STAT2 [13,52].

Among the potential antiviral factors from our screen are the RNA binding proteins DIP1, an ortholog of human ADAR proteins to which pro- and antiviral activities have been attributed [53,54], and RPL12 (RPA12), which could modulate viral replication through its dsRNA cleavage and transcriptional termination activities [55]. In addition, we found the ER retention protein RER1, involved in protein degradation via the proteasome [56] and the chaperone protein HSP60A [57] to be antiviral factors, possibly related to a role of the stress response in antiviral immunity [58]. Yet, these observations need further investigation, especially since chaperone proteins, including HSP60, were proposed as flavivirus proviral cofactors in mammals [59,60]. Moreover, we found a subunit of the OST complex, OstΔ (RPN2), to be antiviral activity in mosquito cells, which is in contrast with the proviral activity of the OST complex in mammals [10,55,61]. The OST complex has previously been associated with the immune response [62,63] and could represent a host factor with different activities in vertebrate and invertebrate hosts.

Viruses recruit host factors for viral replication and several dsRNA binding proteins have been shown to interact with the 3’ UTR of flaviviruses [64,65]. Despite its role as a regulator of RNAi pathways central to antiviral immunity, our work and that of Shivaprasad et al. [41] establishes that the RNA binding protein Loqs is hijacked through protein-protein and protein-RNA interactions to promote flavivirus replication in mosquitoes. Our study provides novel insights into the mechanisms of replication of pathogenic flaviviruses and identifies Loqs as a potential target to develop strategies to block flavivirus transmission by vector mosquitoes.

Methods

Plasmids

DENV2 (strain NGC) non-structural genes were PCR amplified in three fragments from the pRepDVRluc plasmid [39] and all fragments were inserted into the pPUb-MCS-2A-Puro plasmid [66] using In-Fusion cloning kit (Takara) to generate the pPUb-NS(Ø) plasmid. pPUb-NS(Ø) was subsequently mutated by site-directed mutagenesis to insert a cassette containing AgeI and SphI restriction sites. A 3xFLAG tag was then inserted by In-Fusion ligation of annealed oligos either at the N-terminus of NS1 to generate plasmid pPUb-NS(1F) or at the C-terminus of NS5 to generate pPUb-NS(5F). A pPUb-GFP plasmid was generated by removing the Gateway cassette in the pUGW vector [66], followed by the introduction of restriction sites for SphI, AvrII, AflII and NheI included in primers. Ae. aegypti Loqs-RA and Loqs-RB sequences (AaegL5) were cloned from the plasmids pPUb-HA-Loqs-PB and pPUb-HA-Loqs-PA (AaeL3), kindly provided by Zach Adelman (Texas A&M University) [24]. Loqs isoforms were inserted using the In-Fusion cloning kit into the pPUb-GFP plasmid to express recombinant proteins with a GFP tag at the C-terminus and generate plasmids pPUb-Loqs-PA-GFP and pPUb-Loqs-PB-GFP, or into the pMal-C2X (NEB) to express recombinant proteins with a maltose-binding protein (MBP) tag at the N-terminus and generate pMal-Loqs-PA and pMal-Loqs-PB. GFP-tagged Loqs-PA was further cloned into the pPUb-MCS-2A-Puro plasmid to generate pPUb-LoqsPA:GFP-2A-Puro.

The pAc-Cas9-AalbU6.2 plasmid was generated by replacing the D. melanogaster U6 promoter in pAc-sgRNA-Cas9 (provided by Ji-Long Liu, Addgene plasmid #49330) [67] with the Ae. albopictus U6.2 promoter of AALFPA_045636 and by introducing XbaI restriction sites using In-Fusion cloning (Takara) on four fragments amplified by the In-Fusion primers in S3 Table, according to the manufacturer’s instructions. Single guide (sgRNA) sequences targeting Loqs were cloned directly after the U6 promoter into the SapI restriction site, followed by ligation of annealed and phosphorylated complementary oligos (S3 Table) using T4 DNA ligase (Roche).

All primers used for cloning are listed in S3 Table.

Cells and viruses

Aedes aegypti Aag2 (kindly provided by Raul Andino, University of California San Francisco) were cleared of persistent CFAV infection to generate the Aag2-C3 clone [68] and further cleared of persistent PCLV following the same method to generate Aag2-C3PC12 cells. Aedes albopictus C6/36 cells (ECACC General Cell Collection, #89051705) and U4.4 cells (kindly provided by Gorben Pijlman, Wageningen University, the Netherlands) cells were maintained at 28 °C in Leibovitz L15 medium (Gibco) supplemented with 10% heat inactivated fetal calf serum (FCS, Sigma), 2% tryptose phosphate broth solution (Sigma), 1x MEM non-essential amino acids (Gibco), and 50 U/ml penicillin and 50 μg/ml streptomycin (Gibco). Aag2-C3PC12 cells were transfected with pPUb-LoqsPA:GFP-2A-Puro and treated with 4 μg/mL puromycin (InvivoGen) to generate a stable cell line expressing GFP-tagged Loqs-PA.

DENV serotype 2 (DENV2, strain 16681) was provided by Beate Kümmerer (University of Bonn). ZIKV (strain H/PF/2013) was obtained from the European Virus Archive (EVAg, catalog number 001v-EVA1545). Unless specified otherwise, all viral infections were performed at an MOI of 0.1 in L15 medium without FCS and the medium was refreshed at 1 h post-infection with supplemented medium, containing 2% FCS. DENV and ZIKV stocks were prepared on C6/36 cells and titrated by end-point dilution on BHK-15 or Vero E6 cells, respectively, as described previously [39].

Immunoprecipitation

For standard immunoprecipitation of NS1 and NS5, C6/36 cells were seeded in a 60 mm culture dish and incubated for 24 h. Cells were then transfected with 30 μg of pPUb-NS(Ø), pPUb-NS(1F) or pPUb-NS(5F) and 20 μl of X-tremeGENE HP (Roche) and medium was refreshed after 3 hours. At 24 h after transfection, cells were harvested and washed in ice-cold PBS using 5 min centrifugations at 900 x g. Cell pellets were resuspended in 400 μL FLAG lysis buffer (10 mM Tris-HCl pH 7.4, 150 mM NaCl, 0.5 mM EDTA, 0.5% NP-40, 1x protease inhibitor cOmplete (Roche)). Samples were incubated with end-over-end rotation for 1 h at 4 °C and followed by centrifugation at 18,000 x g for 30 min at 4 °C. Total protein extracts were collected, diluted with 600 μL of dilution buffer (FLAG lysis buffer without NP-40) and incubated with 25 μL of pre-washed Anti-FLAG M2 Magnetic Beads (Sigma) on a rotor overnight at 4 °C. The beads were washed three times in ice-cold dilution buffer, eluted in 50 μL of 2X SDS containing 5% β-mercaptoethanol at 95 °C for 10 min and analyzed by western blot.

For mass spectrometry analysis of FLAG-tagged NS1 and NS5 interactomes compared to untagged proteins, immunoprecipitation was performed as described above, with the following modifications. C6/36 cells were seeded in 150 mm culture dishes (four dishes per condition) and transfected with 30 μg of plasmids pPUb-NS(Ø), pPUb-NS(1F) or pPUb-NS(5F) and 60 μl of X-tremeGENE HP per dish. Cells were harvested at 24 h after transfection and washed in 5 mL of ice-cold PBS and cell pellets were resuspended in 2 mL of lysis buffer. Total protein extracts were diluted with 3 mL of dilution buffer and protein concentrations were estimated using the BCA Protein Assay (Pierce). 6 mg of total protein extract was incubated with 40 μL of Anti-FLAG M2 Agarose Beads (Sigma) and beads were washed a total of five times (three times in ice-cold dilution buffer and twice in ice-cold PBS), followed by on-bead trypsin digestion prior to MS analysis, as previously described [69]. For each condition, three biological replicates were used.

For the Loqs-PA mass spectrometry analysis, immunoprecipitation was performed as described above, with the following modifications. Aag2 stably expressing GFP-tagged Loqs-PA were seeded in T75 flasks and infected with DENV at an MOI of 0.1 for 96 h. Cells were resuspended in 1 ml GFP lysis buffer (50 mM Tris-HCl pH 7.4, 150 mM NaCl, 0.5 mM DTT, 1% NP-40, 10% glycerol and 1x protease inhibitor cOmplete (Roche)). Immunoprecipitation using GFP-Trap or binding control magnetic agarose beads (Chromotek) was performed according to manufacturer’s instructions.

Western blotting

Protein samples were separated at 120 V in 7.5% polyacrylamide gels for 90 min and transferred at 80 mA to PVDF membranes overnight at 4 °C using the Bio-Rad wet blotting system. Proteins were labeled with primary antibodies mouse anti-FLAG M2 (Sigma, F1804) and rat anti-tubulin-α (MCA78G) at 1:1000 dilutions, and secondary antibodies IRDye 800 goat anti-rat (Li-Cor, 926–32219) and IRDye 680RDye goat anti-mouse (Li-Cor, 926–32220) at 1:10,000 dilutions. Western blots were imaged on the Odyssey CLx System (LI-COR).

Sample preparation and mass spectrometry

Samples were subjected to on-bead digestion [70], as follows: 50 μl of Elution buffer (EB: 2M urea, 100 mM Tris-HCl pH 8.0 and 10 mM DTT) was added to each sample and incubated for 20 min at room temperature. Cysteines were alkylated using 50 mM iodoacetamide for 10 min, after which 0.25 μg of MS-grade trypsin (Promega) was added per sample. After 2 h incubation in a thermoshaker at room temperature, the supernatants were collected. Beads were washed once with 50 μl EB to collect as many peptides as possible, and this supernatant was combined with the first, after which 0.1 μg trypsin was added and samples were incubated overnight. The next day, samples were subjected to STAGE-tipping [71]. Discs of C18 material were fixated in p200 pipette tips. The C18 material was activated using methanol, and then thoroughly washed once with buffer B (80% acetonitrile, 0.1% TFA) and twice with buffer A (0.1% TFA), after which the samples were loaded. Salts from the digestion buffer were washed away by an additional buffer A wash. Samples were eluted using buffer B for measurements.

FLAG- and GFP-immunoprecipitated samples were analyzed using reverse phase chromatography on an EASY-nLC1000 instrument coupled online to a Thermo Exploris 480 mass spectrometer. A 60 min gradient of buffer B (80% acetonitrile, 0.1% TFA) was applied to gradually release peptides from the C18 column into the mass spectrometer, which was ran at Top20 mode. A dynamic exclusion list was enabled for 30 proteins for 45 seconds after first occurrence. Only peptide ions with a charge between 2 and 6 were selected for fragmentation.

Mass spectrometry data analysis

The raw mass spectrometry data were analyzed using MaxQuant version 1.6.0.1 [72]. FLAG-immunoprecipitated data were compared to a database for Ae. albopictus (Aalbo_primary.1, RefSeq assembly: GCF_006496715.1) and DENV 16681 proteins. GFP-immunoprecipitated data were compared to a database for Ae. aegypti (AaegL5.3 proteome downloaded from VectorBase, dataset DS_cc8d875d2e) and DENV 16681 proteins. In addition to default settings, Deamidation (NQ) was used as a variable modification, and LFQ and iBAQ were enabled. Perseus [73] was used for filtering. Contaminants, reverse hits and hits with less than one peptide were removed. LFQ-values were subsequently log2-transformed, and samples were divided into triplicates and filtered to have at least three valid values in one group of replicates. The missing data were imputed using default settings. Students t-tests were performed for each of the baits compared to the control. R was used to visualize the data in volcano plots and a heatmap. When available, names of the closest ortholog from D. melanogaster as indicated in VectorBase were used to refer to mosquito proteins.

The mass spectrometry proteomics data have been deposited to the ProteomeXchange Consortium via the PRIDE partner repository [74] with the dataset identifiers PXD031112 and PXD035419. In the PRIDE accession PXD031112, samples are referred to as “control”, “1_flagip” and “5_flagip” for NS(Ø), NS(1F) and NS(5F), respectively. In PRIDE accession PXD035419, samples are referred to as “control” and “GFP” for non-specific beads and anti-GFP beads, respectively.

Immunofluorescence assay

C6/36 cells were seeded on coverslips in 24-well plates 24 h before introducing transgenes. Cells were transfected with 1 μg of pPUb-NS(Ø), pPUb-NS(1F) or pPUb-NS(5F) using 1 μL of X-tremeGENE HP (Roche) and incubated for 3 h before refreshing the medium. For infection experiments, Aag2 cells were infected 24 h after plating with DENV2 or mock for 72 h before transfection with pPUb-Loqs-PA-GFP, pPUb-Loqs-PB-GFP. At 24 h after transfection, cells were washed with PBS and fixed in 2% paraformaldehyde for 15 min at 4°C. Samples were further treated at room temperature and washed in PBS containing 0.05% Tween-20 between each of the following step. Cells were permeabilized with 0.1% Triton-X100 in PBS and treated with blocking buffer (2% normal goat serum, 0.1% Triton-X100, 100 mM glycine in PBS) for 30 min. Samples were stained with primary mouse antibodies anti-FLAG M2 (Sigma, F1804) or anti-dsRNA J2 (Jena Bioscience, RNT-SCI-10010500), followed by secondary goat anti-mouse antibodies conjugated with Alexa Fluor 488 (ThermoFisher, A11001) or Alexa Fluor 594 (ThermoFisher, A11005). All antibodies were diluted 1:200 in blocking buffer. Nuclei were stained with Hoechst (5 μg/ml) for 15 min. Slides were mounted in Mowiol and stored at 4 °C before imaging. Confocal images were acquired using a Zeiss LSM900 microscope and analyzed with Icy ICY Imaging [75]. Uncropped images are shown in S6 Fig.

Bioinformatic analysis

Interaction networks for proteins of interest were predicted with STRING v10 [76], considering a medium confidence (0.4) and a false discovery rate stringency of 5%. Networks were visualized with Cytoscape [77]. The genes of interest were analyzed separately with DAVID 6.8 [78] to identify enrichments for specific GO terms from the “biological process” (BP) or “molecular function” (MF) categories, using a p-value < 0.1 as cutoff and containing at least three members per group. The complete GO term analysis are presented in S2 and S4 Tables.

Sequences of Loqs isoforms and orthologs were aligned using MUSCLE [79], alignments were curated with Gblocks [80] and a maximum likelihood phylogenetic tree was built with PhyML and aLRT [81] using phylogeny.fr [82]. The phylogenetic tree was then visualized on iTOL [83]. Percentage identity were determined with Mview [84]. Reference sequences used are listed in S5 Table.

In vitro transcription

The pRepDV2Rluc plasmid [39] was linearized with XbaI and used as template for in vitro transcription of replicon RNA using the T7 RiboMAX Large Scale RNA Production System (Promega) in the presence of Ribo m7G Cap Analog (Promega) at a cap analog to GTP ratio of 2.5. Replicon RNA was purified with the RNeasy Mini Kit (QIAGEN).

Templates for in vitro transcription of gene specific 300–500 nt dsRNA and DENV2 ssRNA or dsRNA were generated by PCR, introducing a T7 promoter sequence or a universal tag at both 5’ and 3’ ends, or only at the 5’ end for ssRNA using the GoTaq Flexi DNA Polymerase (Promega). If present, the universal tag was then used in a second PCR to add T7 promoter sequences at both ends of the amplicon. T7 PCR products were used as a template for in vitro transcription by T7 RNA polymerase for 4 h at 37 °C. The RNA was denatured at 95 °C for 10 min and gradually cooled to room temperature for annealing. Annealed dsRNA and EMSA probed were purified with the GenElute Mammalian Total RNA Miniprep Kit (Sigma) and quantified with the Nanodrop-1000 Spectrophotometer (ThermoFisher).

Primers used for in vitro transcription are listed in S3 Table.

dsRNA-mediated gene silencing

Aag2 or U4.4 cells were plated in 48-well plates and transfected with 100 ng of dsRNA per well using 0.4 μL of X-tremeGENE HD (Roche). The medium was refreshed after 3 h and cells were incubated for 48 h. For infections, cells were transfected again with dsRNA as described above, incubated for 3 h, and then infected with DENV at an MOI of 0.1. Cells were harvested at the indicated time points for total RNA isolation using RNA-Solv (Omega Bio-tek). A similar setup was used for the experiments of Fig 4G, 4I and 4L, except that cells were cultured in 24-well plates, treated twice with 150 ng of dsRNA, infected at an MOI of 0.01, after which cells or culture supernatant was harvested at 72 h post-infection, as indicated. For replicon assays, Aag2 and U4.4 cells were transfected with 100 ng dsRNA and 250 ng RepDV2Rluc RNA per well using the TransIT-mRNA transfection kit (Mirus). As a positive control, cells transfected with RepDV2Rluc RNA in the absence of dsRNA were treated with 50 μM cycloheximide (CHX) at 1 h post-transfection. Proteins were harvested in passive lysis buffer (Promega) at indicated times and Renilla luciferase activity was measured using the Renilla-Glo Luciferase Assay system (Promega).

Reverse transcription and quantitative PCR

Transcript annotation according to the reference genome AaegL5.2 was used to generate PCR primers. For RT-qPCR, 200–500 ng of total RNA were treated with DNaseI (Ambion) for 45 min at 37 °C and then incubated with 2.5 mM EDTA for 10 min at 75 °C. Total RNA was reverse transcribed with random hexamers using the Taqman reverse transcription kit (Applied Biosystems). Negative-strand specific viral cDNA was synthesized using a virus specific primer with a flanking sequence of the T7 promoter, followed by qPCR using a T7 promoter primer in combination with a virus specific primer. Relative quantitative PCR analysis was performed using the GoTaq qPCR SYBR mastermix (Promega) on a LightCycler 480 instrument (Roche). Target gene expression levels were normalized to the expression of the housekeeping gene, lysosomal aspartic protease (LAP) for Ae. aegypti or ribosomal protein L5 (RPL5) for Ae. albopictus, and fold changes were calculated using the using the 2(-ΔΔCT) method [85].

Primers used for RT-qPCR are listed in S3 Table.

Preparation of small RNA libraries

Small RNA deep sequencing libraries were generated using the NEBNext Small RNA Library Prep Set for Illumina (E7560, New England Biolabs), using 1 μg RNA as input. Libraries were prepared in accordance with the manufacturer’s instructions and sequenced on an Illumina Hiseq4000 by the GenomEast Platform (Strasbourg, France).

Small RNA sequence analysis

The initial quality control was performed using FastQC and 3’ adapters were trimmed using cutadapt [86]. Small RNA sequences in the size range of 21–23 nt were considered as siRNA and 25–32 nt considered as piRNAs. Reads were uniquely mapped to the corresponding virus genome, DENV2 (NCBI Reference Sequence: NC_001474.2) or ZIKV (GenBank: KJ776791.2), allowing one mismatch. SAMtools was used to quantify piRNAs mapped to the tapiR1 locus. To compare the vsiRNA changes upon Loqs silencing, uniquely mapped siRNA reads were normalized to piRNAs mapping to the tapiR1 locus [87] to account for differences in library size, and then normalized to DENV or ZIKV RNA copies based on RT-qPCR performed on the RNA that was used for small RNA sequencing.

Small RNA sequences in the size range of 19–25 nt were mapped to Aedes mature miRNA and pre-miRNA sequences using Bowtie [88], allowing a maximum of 1 mismatch. miRNA sequences and accession numbers were from the miRBase repository [89]. To compare total miRNA changes upon Loqs knockdown, miRNA reads were normalized to piRNAs mapped to the tapiR1 locus or total small RNA library size. SAMtools were used to quantify miRNA counts per sample [90]. DEseq2 was used for differential analysis of miRNA between samples [91].

CRISPR/Cas9

To obtain Loqs and Ago2 double knockout (KO) cells, U4.4-Ago2KO cells (described elsewhere, manuscript in preparation) were transfected with the pAc-Cas9-AalbU6.2 plasmid, encoding 3xFLAG-tagged Cas9 with N- and C-terminal SV40 nuclear localization signals, followed by a viral 2A self-cleavage peptide and the puromycin N-acetyltransferase, driven by the D. melanogaster Actin 5c promoter, as well as a sgRNA targeting Loqs driven by an Ae. albopictus U6 promoter. U4.4-Ago2KO cells were seeded in a 24-well plate and transfected the next day with 500 ng of plasmid, using X-tremeGENE HP transfection reagent (Roche) according to the manufacturer’s instructions. At 2 days after transfection, puromycin (InvivoGen) was added to the culture medium at a concentration of 20 μg/ml and 4 days later, the cells were transferred to a new plate at a 1:2 dilution in medium containing 20 μg/ml puromycin. The other half of the cells was used for genomic DNA isolation (Zymo Research #D3024) and PCR (Promega #M7806) using primers flanking the sequence targeted by the sgRNA (S3 Table) to assess editing efficiency. Multiple sgRNA constructs were initially generated and the constructs with the highest editing efficiency were selected, assessed by size heterogeneity of the PCR products on an ethidium bromide-stained agarose gel. Cells transfected with these sgRNA constructs (guide 1 and guide 3) were seeded in 96-well plates at a density of a single cell per well in supplemented L15 medium in the absence of puromycin. After 3 weeks, genomic DNA was isolated from the single-cell clones, followed by PCR and Sanger sequencing of the targeted Loqs locus. Based on the sequencing results, a clone containing only out-of-frame deletions in the Loqs coding sequence (guide1, clone #1) was selected for experiments, referred to as U4.4-Ago2KO; LoqsKO cells.

Production and purification of recombinant protein

E. coli strain XL10 Gold were transformed with plasmids encoding MBP-Loqs-PA or MBP-Loqs-PB and cultured until mid-log phase (OD600 of 0.6). Expression of recombinant proteins was then induced with 1 mM isopropylβ-D-1-thiogalactopyranoside (IPTG) and cells were cultured overnight at 27 °C. Cells were pelleted (13,000 x g, 15 min) and resuspended in E. coli Lysis Buffer (PBS, 0.5% (w/v) Tween-20, 1 mM EDTA, 1x protease inhibitor cOmplete). Cells were subjected to three freeze (-80 °C)-thaw (37 °C) cycles and sonicated (Branson Sonifier 250, 10 seconds, 3 x 5 cycles) before clearing debris by centrifugation at 13,000 x g for 30 min. Recombinant proteins were affinity-purified using amylose resin using the manufacturer’s protocol (NEB) and eluted with 20 mM maltose. Protein concentration was measured in eluate fractions by a Bradford assay (Bio-Rad) and the fractions with the highest concentration were transferred to Slide-A-Lyzer dialysis cassette (Thermo Fisher) and dialyzed to buffer (20 mM Tris-HCl pH 7.4, 0.5 mM EDTA, 5 mM MgCl2, 1 mM DTT, 140 mM NaCl, 2.7 mM KCl). Protein concentration was determined by a Bradford assay. Recombinant proteins were snap-frozen in liquid nitrogen and stored at -80 °C in dialysis buffer with 30% glycerol.

Electrophoretic mobility shift assays (EMSA)

The synthesized probes were treated with DNaseI (Promega), dephosphorylated (Roche) and end-labeled using T4 polynucleotide kinase (NEB) with [γ-32P] ATP (Perkin Elmer). Unincorporated nucleotides were removed with MicroSpin G-50 columns (Illustra). Samples were then heated for 5 min at 85 °C, cooled to room temperature and incubated for 20 min in RNA folding buffer (111 mM HEPES, 6.7 mM MgCl2, 111 mM NaCl). Purified proteins were diluted in dialysis buffer and incubated for 30 min at room temperature with 1–10 ng of the labeled RNA in binding buffer (5 mM HEPES, 25 mM KCl, 2 mM MgCl2, 3.8% glycerol) in the presence of 0.625 mg/mL yeast tRNA (Sigma). The reactions were loaded on a 6% native acrylamide gel and run at 4 °C. The radioactive signal was quantified using a Storage Phosphor Screen GP (Kodak) or GE Storage Phosphor Storage Screen BAS-IP MS 2040 E (Merck) and a Typhoon FLA 7000 biomolecular imager. RNAtotal and RNAfree were quantified using Fiji [92] to determine the fraction bound = 1 − (RNAfree/RNAtotal). Binding isotherms were fitted using specific binding with Hill slope in GraphPad Prism7.

Statistical analysis

Graphical representation and statistical analyses were performed using GraphPad Prism7 software. Differences were tested for statistical significance using unpaired two-tailed t-tests or one-way ANOVA, as specified.

Supporting information

S1 Fig. DENV non-structural proteins interact with Loqs-PA.

A. Volcano plot of proteins interacting with GFP-tagged Loqs-PA in DENV2 infected Aag2 cell lysates as determined by label-free quantitative mass spectrometry. The X-axis shows the log2 fold change (FC) of anti-GFP immunoprecipitation (IP) over control IP using the same lysate and non-specific beads (control), and the Y-axis shows -log10(p-value). Hits with a log2(FC) higher than 7 or -log10(p-value) higher than 6 were labeled. Colored dots indicate proteins of interest. Each condition was performed in triplicate. B. Functional STRING networks of Loqs interacting proteins (top right quadrant in (A)) based on Ae. aegypti annotation, using the following three sources: experiments, databases or co-expression. Interactions from FLAG-NS1 and FLAG-NS5 immunoprecipitations (Fig 1) were added in purple. Nodes are scaled to the fold enrichment in Loqs immunoprecipitation and colored according to the presence of major RNA-interacting domains defined by DAVID clustering of D. melanogaster orthologs. Edges are representative of the number of sources (thickness) and the confidence (color) supporting the interaction as defined by STRING. Functional groups were imputed from DAVID clustering and literature analysis.

(EPS)

S2 Fig. Expression of Loquacious isoforms in Ae. aegypti mosquitoes and depleted cells.

A. Density plot of Loqs RNA seq reads in Ae. aegypti. Each line represents a unique sequence library from three separate VectorBase datasets: DS_dcde6b4ec9, DS_24f2db6f66 and DS_ded344cb5e [9395]. B-D. Relative quantification of targeted gene mRNA expression from Figs 4E (S1B), 4F (S1C), 4G and 4I (S1D), and 4J, 4K, S2F and S2G (S1E). Gene expression was normalized to the housekeeping gene lysosomal aspartic protease and expressed relative to expression in cells treated with control dsRNA targeting luciferase (GL3). F. Total miRNAs at 48 h after infection at an MOI of 0.1 in Loqs depleted or control (GL3 luciferase dsRNA treated) Aag2 cells. Total miRNA reads were normalized to tapiR1. G. Correlation of Ae. aegypti miRNA levels in GL3 (x-axis) and Loqs (y-axis) dsRNA treated Aag2 cells infected with DENV (left panel) or ZIKV (right panel). The sum of raw read counts of miRNAs across three small RNA library replicates were calculated via Samtools. Highlighted are miRNAs with > 2-fold differential expression with an adjusted p-value < 0.05 using DEseq2. RPM, reads per million.

(EPS)

S3 Fig. Knockout of Loqs in U4.4-AgoKO cells.

U4.4-Ago2KO; Loqs KO cell lines were generated by CRISPR/Cas9-mediated editing of the Loqs gene in U4.4-Ago2KO cells, single-cell colonies were grown, and the edited sites in exon 2 were Sanger sequenced. Top panel, gene structure and conserved domains of two Loqs paralogs annotated in the genome sequence of the Ae. albopictus C6/36 cell line [96] (AALC636_029187 and AALC636_022034), each of which predicted to encode a long and short isoform. The coding sequences of the two paralogs are 99.2% identical at the nucleotide level and both are expected to be targeted by the sgRNAs used for CRISPR/Cas9 editing. Bottom panel, sequencing identified one clone (guide 1, clone #1) containing two small deletions that both induced out-of-frame mutations in the first dsRBD of Loqs.

(EPS)

S4 Fig. Purification of recombinant Loqs-PA and–PB.

Coomassie blue stained polyacrylamide gel containing lysates from the indicated purification steps of Ae. aegypti MBP-tagged Loqs-PA and Loqs-PB from E. coli.

(EPS)

S5 Fig. Uncropped gel images.

A. Uncropped images of the western blots from Fig 1A. B-C. Uncropped images of the EMSAs from Fig 6A and 6C.

(TIFF)

S6 Fig. Uncropped IFA images.

Uncropped images of IFAs from Fig 5. Only cells with low to moderate expression of Loqs-GFP were analyzed.

(EPS)

S1 Table. NS1 and NS5 mass spectrometry hit summary.

List of proteins enriched at least 2.5-fold in NS1 or NS5 immunoprecipitations with their -log10(p-value) and log2(fold change) values plotted on the volcano plot (Fig 1D), the LFQ after row-mean subtraction plotted on the heatmap (Fig 1E) as well as protein and gene identifiers in Ae. albopictus and references to orthologs in Ae. aegypti, D. melanogaster and H. sapiens. Individual values plotted on the heatmap were labeled when below (blue) or above (red) the row average. Proteins associated with both NS1 and NS5 are highlighted in yellow. Hits included in the STRING network (Fig 2) and GO terms are indicated. Ost48 and Stt3A were included after literature review.

(XLSX)

S2 Table. GO term analysis data.

Complete GO term analysis of Fig 2A, including GO terms for biological process (BP), cellular component (CC) and molecular function (MF).

(XLSX)

S3 Table. List of oligonucleotides used for cloning, dsRNA production, qPCR, PCR and EMSA probes.

(XLSX)

S4 Table. Loqs mass spectrometry hit summary.

List of proteins enriched at least 3.5-fold in Loqs immunoprecipitation with their -log10(p-value) and log2(fold change) values plotted on the volcano plot (S1 Fig). Protein and gene identifiers in Ae. aegypti and references of D. melanogaster orthologs were specified. ID used for STRING network analysis and DAVID clustering, and names used in S1 Fig are specified.

(XLSX)

S5 Table. Reference sequences.

List of protein sequences used for the phylogenetic tree of Fig 4A.

(XLSX)

Acknowledgments

We thank members of the laboratory for discussions. We thank Pascal Jansen for processing the mass spectrometry samples. We thank Zach Adelman (Texas A&M University) for kindly providing Loqs expression plasmids and Beate Kümmerer (University of Bonn) for providing DENV2 stock. ZIKV isolate H/PF/2013 was provided by Xavier de Lamballerie (Aix Marseille Université) through the European Virus Archive (EVAg), funded by the European Union’s Horizon 2020 programme. The Vermeulen lab is part of the Oncode Institute, which is partly funded by the Dutch Cancer Society.

Data Availability

Mass spectrometry proteomics data have been deposited to the ProteomeXchange Consortium via the PRIDE partner repository with the dataset identifiers PXD031112 and PXD035419. Other relevant data are within the manuscript and its Supporting information files.

Funding Statement

This study was financially supported by a VICI grant from the Dutch Research Council (NWO; www.nwo.nl; grant number 016.VICI.170.090 to RPvR) and by the Off-Road program of ZonMW (www.zonmw.nl; grant number 04510011910045 to BB). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

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Decision Letter 0

Alain Kohl, Sonja M Best

11 Mar 2022

Dear Dr. Van Rij,

Thank you very much for submitting your manuscript "Arbovirus-vector protein interactomics identifies Loquacious as a co-factor for dengue virus replication in Aedes mosquitoes" for consideration at PLOS Pathogens. As with all papers reviewed by the journal, your manuscript was reviewed by members of the editorial board and by several independent reviewers. In light of the reviews (below this email), we would like to invite the resubmission of a significantly-revised version that takes into account the reviewers' comments.

We cannot make any decision about publication until we have seen the revised manuscript and your response to the reviewers' comments. Your revised manuscript is also likely to be sent to reviewers for further evaluation.

When you are ready to resubmit, please upload the following:

[1] A letter containing a detailed list of your responses to the review comments and a description of the changes you have made in the manuscript. Please note while forming your response, if your article is accepted, you may have the opportunity to make the peer review history publicly available. The record will include editor decision letters (with reviews) and your responses to reviewer comments. If eligible, we will contact you to opt in or out.

[2] Two versions of the revised manuscript: one with either highlights or tracked changes denoting where the text has been changed; the other a clean version (uploaded as the manuscript file).

Important additional instructions are given below your reviewer comments.

Please prepare and submit your revised manuscript within 60 days. If you anticipate any delay, please let us know the expected resubmission date by replying to this email. Please note that revised manuscripts received after the 60-day due date may require evaluation and peer review similar to newly submitted manuscripts.

Thank you again for your submission. We hope that our editorial process has been constructive so far, and we welcome your feedback at any time. Please don't hesitate to contact us if you have any questions or comments.

Sincerely,

Alain Kohl

Guest Editor

PLOS Pathogens

Sonja Best

Section Editor

PLOS Pathogens

Kasturi Haldar

Editor-in-Chief

PLOS Pathogens

orcid.org/0000-0001-5065-158X

Michael Malim

Editor-in-Chief

PLOS Pathogens

orcid.org/0000-0002-7699-2064

***********************

Reviewer's Responses to Questions

Part I - Summary

Please use this section to discuss strengths/weaknesses of study, novelty/significance, general execution and scholarship.

Reviewer #1: This is a very nice manuscript where the authors perform a DENV NS1-NS5 protein interactome stuydy in mosquito cells. The manuscript is well written and the figures are nicely assembled and easy to follow. Their findings demonstrate a role of Loqs during flavivirus infection of mosquito cells by 1) showing, most likely indirect, protein interations between Loqs and NS1 2) co-localization during infection 3) silencing of Loqs is detrimental to flavivirus infection 4) Loqs binds to the 3'UTR, and 5) the interactions function independently of RNAi. I have two specific comments below.

Reviewer #2: In this manuscript, Besson and colleagues systematically profile the cellular interactomes of NS1 and NS5 - two important flaviviral proteins with functions in RNA replication, replication complex formation and viral RNA modification(s) – within C6/36 cells, an RNAi-incompetent Ae. albopictus cell line. Exploiting an ectopic expression system to drive expression of the entire sub-genomic DENV viral genome (NS1-NS5) under the control of the invertebrate polyUbiquitin promoter, they generate epitope-tagged variants of the viral polyprotein, carrying NS1- and NS5-FLAG-tagged variants for use in AP-LC-MS/MS experiments. Among the specific NS1 and NS5 interactors, 22 prioritized host factors were followed-up in silencing experiments to assess their functional relevance for viral replication, and one of them – the host protein Loquacious - was investigated further by immunofluorescence, isoform-mapping and dsRNA-binding experiments. Altogether, the authors propose that LoqRA interacts with the 3’UTR of DENV genome, via recruitment through the NS1 protein and plays an important pro-viral function independent from the RNAi pathway.

The study is well-written and timely, as it addresses understudied aspects of virus-host interactions in invertebrates. However, the wealth of publications on Loquacious role in flavivirus replication, as well as other studies on NS1 and NS5-host interaction networks in mosquitoes (cited by the authors in the manuscript) partially hamper the novelty of the study. Most importantly the main conclusions and novel findings (Loquacious plays a proviral role, independent of its role in RNAi, to support replication organelle formation) are only partially supported by experimental evidence as some experiments lack important controls (i.e. EMSA) or might be interpreted differently (i.e. Luciferase assays) as outlined below.

Reviewer #3: The authors of this study report an interesting novel, and rather unexpected, pro-viral function for Loquacious (Loqs) in dengue virus (DENV) replication in cells derived from two important mosquito vector species, Aedes aegypti and Aedes albopictus. The findings are significant because they fundamentally change our view of the canonically antiviral functions of proteins functioning within the RNA interference (RNAi) pathway in insects. The work also advances our understanding of how molecular virus-vector interactions influence arthropod-borne virus (arbovirus) replication in mosquito cells, which is still a poorly developed area of research that has important implication for how significant arboviral pathogens are transmitted. The study is thorough and well executed, and uses a wide range of complementary approaches, including proteomics/interactomics and functional RNAi screens to characterise virus-vector interactions, which are then dissected in molecular detail using viruses, replicons and biochemical assays of RNA-protein binding. The manuscript is well written and the figures well presented and I believe the work makes a valuable and important contribution to the field.

**********

Part II – Major Issues: Key Experiments Required for Acceptance

Please use this section to detail the key new experiments or modifications of existing experiments that should be absolutely required to validate study conclusions.

Generally, there should be no more than 3 such required experiments or major modifications for a "Major Revision" recommendation. If more than 3 experiments are necessary to validate the study conclusions, then you are encouraged to recommend "Reject".

Reviewer #1: 1. The authors demonstrate a reduction in viral RNA, but does this translate to reduced infectious particles? It would have been nice to see plaque assay or focus forming unit data. Are samples still available that such assays could be easily performed?

2. While the authors did a lot of very nice work, I was left wondering if their cell culture observations were transferrable to mosquitoes. The impactfulness of this work would be significantly increased if the authors were able to observe decreased viral loads in mosquitoes upon Loqs suppression. However, the results might be a mixed bag because suppression of Loqs would also prosumably retard RNAi and, therefore, no differences might be observed. In leiu of performing mosquito experiments this might be an area the authors could speculate upon in the discussion section.

Reviewer #2: - It would be important to include control pull-downs using baits with a similar subcellular localization (i.e. an unrelated FLAG-tagged protein) rather than the untagged version of the polyprotein). Indeed, the specific distribution of the interactors in the volcano plots and the outcome of the statistical analysis directly reflects the use of “empty” pull-down as control. As a result, nearly all the viral proteins appear as specific interactors in both NS1 and NS5 dataset (Fig1), and both proteins share >30% of common host protein interactors (Fig2a) despite the rather divergent subcellular localization (NS1=ER vs. NS5=Cytoplasm+Nucleus). Along these lines, validation of the NS1-Loqs interaction upon infection (reciprocal IP using the available GFP-tagged Logs) would serve as important validation of the MS data.

- The readout of the silencing experiments and all downstream k.d. experiments exclusively relies on qRT-PCR on viral RNA, however it would be paramount to functionally validate at least the main host factors using an infectivity-based readout (i.e. TCID50, FFU or PFU assays). This is especially important as some experiments suggest a lack of Logs k.d. effect on virus replication (i.e. Fig4G, see comments below). Furthermore, standard deviations appear extremely high (i.e. Fig. 4E-H) and lack uninfected/NT-silenced controls.

- The conclusion that Loqs proviral activity is independent of its RNAi regulatory function (result section; from row 209 onwards) is only indirectly supported by the data. It would be straightforward to compare the outcome of Logs silencing on virus replication in both RNAi-competent (U4.4) and RNAi-deficient cells (C6/36) already available and used by the authors in this manuscript.

- The conclusion that Logs silencing does not affect RNA translation while inhibiting viral RNA replication is not experimentally supported. Indeed, experiments using the luciferase reporter virus do not show any reduction in luciferase activity upon Logs silencing, suggesting that both RNA replication and translation are not affected. If any, in U4.4 cells, silencing of Logs slightly enhances viral RNA replication (Fig 4G). Furthermore, this conclusion is not compatible with the authors’ hypothesis suggesting a role for Logs in viral RNA stability through binding of the 3’-UTR (one would expect to see a reduction here) and seemingly in contrast with qRT-PCR results presented in Fig. 3.

- The RNA binding experiments (EMSA; Fig5A) would require an additional MAP-tagged protein as control to ensure specificity and accuracy of binding affinity measurements. Alternatively, the use of a non-flaviviral RNA might suffice. These aspects are particularly important as the input RNA of all the other control probes (5’UTR, NS5, NS1; see “free XX region”), as well as higher MW bands appearing at higher concentrations of purified protein (>200nM), appear significantly lower when compared to the corresponding 3’UTR.

- Result section – line 250: the hypothesis that Loqs is recruited to the replication organelles and binds viral RNA through its dsRNA-binding motif would require experimental confirmation. Indeed, in EMSA experiments only ssRNA has been used. (see comment above).

Reviewer #3: I’m not fully convinced of the interpretation that Loqs affects viral genome replication but not viral RNA stability or translation. The data show that Loqs knockdown has no effect on transiently transfected DENV replicon, but does reduce viral RNA levels during infection. I agree that that the replicon data indicate that Loqs does not seem to affect viral RNA stability or translation, however, unless I’m mistaken this particular replicon also replicates its RNA, and therefore the replicon assay also indicates that Loqs does not affect viral RNA replication. The major difference between viral infection and the replicon assay is that the replicon bypasses viral entry and uncoating steps, and therefore it seems to me that Loqs rather affects these early stages of the viral life cycle rather than viral genome replication. I think the authors would need to perform additional experiments to support their current conclusions. For example, they could transfect the infectious viral RNA into cells and assess whether viral RNA levels are still reduced in the absence of Loqs when entry/uncoating is bypassed. Alternatively, one could measure the accumulation of negative-sense viral RNA in both the replicon and infection experiment to directly measure viral genome replication.

The authors also conclude that the pro-viral role of Loqs is independent of Loqs’s function in the RNAi pathway. The data shown does indeed indicate that Loqs knockdown does not affect the accumulation of virus-derived siRNAs. However, I do not think this is sufficient to support the claim that Loqs acts independently of the RNAi pathway. Evidence that might better support this claim would be to test the effect of Loqs knockdown in the presence of concurrent Dicer2 or Ago2 knockdown, or in Dicer2 or Ago2 CRISPR knockout cell lines (in which the RNAi pathway would not be functional). Another question I have is whether the authors saw differences in piRNA production in this experiment?

In Fig 5, the dsRNA staining shows a lot of background in mock cells – which I suspect is due to the presence of other insect viruses persistently infecting these cells. Since the authors are investigating whether Loqs localises to DENV replication compartments, could they perform a sequence-specific stain for DENV RNA to specifically stain DENV replication compartments and reduce the background noise in the mock?

**********

Part III – Minor Issues: Editorial and Data Presentation Modifications

Please use this section for editorial suggestions as well as relatively minor modifications of existing data that would enhance clarity.

Reviewer #1: (No Response)

Reviewer #2: - Why use the C6/36 cells (RNAi-incompetent) as model system for the AP-LC-MS/MS study? The follow-up functional screen was then done in the RNAi-competent U4.4 cell line – why not directly use the U4.4 cell line?

- In the method section, row 368: “cells were transfected with 10 mg”: probably meant 10 µg ?

- Supplementary figure S2 (Protein purification): the SDS-PAGE does not show a single band for the purified protein post dialysis, but rather a smear of 20-30 kDa for both Loqs-PA and PB. Could this reflect incomplete cleavage of the MAP-tag? This might affect interpretation of the EMSA experiments.

- Supplementary Figure S4: oversaturated signals in IF images for both GFP-tagged proteins and dsRNA.

- FIG 5: there is quite significant background for dsRNA in the mock sample. Furthermore, no “empty”-eGFP control was used in this panel.

Reviewer #3: 1. In Fig 5, I found it quite difficult to see the visual differences that the authors describe in the localisation of Loqs, particularly any differences between the two isoforms. Could the authors provide some quantification here to strengthen these findings?

2. In the Materials and Methods, the authors should specify what (if any) corrections for multiple comparisons were applied in their statistical analyses.

**********

PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files.

If you choose “no”, your identity will remain anonymous but your review may still be made public.

Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy.

Reviewer #1: Yes: Doug Brackney

Reviewer #2: No

Reviewer #3: No

Figure Files:

While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email us at figures@plos.org.

Data Requirements:

Please note that, as a condition of publication, PLOS' data policy requires that you make available all data used to draw the conclusions outlined in your manuscript. Data must be deposited in an appropriate repository, included within the body of the manuscript, or uploaded as supporting information. This includes all numerical values that were used to generate graphs, histograms etc.. For an example see here on PLOS Biology: http://www.plosbiology.org/article/info%3Adoi%2F10.1371%2Fjournal.pbio.1001908#s5.

Reproducibility:

To enhance the reproducibility of your results, we recommend that you deposit your laboratory protocols in protocols.io, where a protocol can be assigned its own identifier (DOI) such that it can be cited independently in the future. Additionally, PLOS ONE offers an option to publish peer-reviewed clinical study protocols. Read more information on sharing protocols at https://plos.org/protocols?utm_medium=editorial-email&utm_source=authorletters&utm_campaign=protocols

Decision Letter 1

Alain Kohl, Sonja M Best

14 Jul 2022

Dear Dr. Van Rij,

Thank you very much for submitting your manuscript "Arbovirus-vector protein interactomics identifies Loquacious as a co-factor for dengue virus replication in Aedes mosquitoes" for consideration at PLOS Pathogens. As with all papers reviewed by the journal, your manuscript was reviewed by members of the editorial board and by several independent reviewers. The reviewers appreciated the attention to an important topic. Based on the reviews, we are likely to accept this manuscript for publication, providing that you modify the manuscript according to the review recommendations.

We will not ask for additional experiments at this stage, but would ask that any comments about interpretation or missing data/figures are addressed at revision.

Please prepare and submit your revised manuscript within 30 days. If you anticipate any delay, please let us know the expected resubmission date by replying to this email.

When you are ready to resubmit, please upload the following:

[1] A letter containing a detailed list of your responses to all review comments, and a description of the changes you have made in the manuscript.

Please note while forming your response, if your article is accepted, you may have the opportunity to make the peer review history publicly available. The record will include editor decision letters (with reviews) and your responses to reviewer comments. If eligible, we will contact you to opt in or out

[2] Two versions of the revised manuscript: one with either highlights or tracked changes denoting where the text has been changed; the other a clean version (uploaded as the manuscript file).

Important additional instructions are given below your reviewer comments.

Thank you again for your submission to our journal. We hope that our editorial process has been constructive so far, and we welcome your feedback at any time. Please don't hesitate to contact us if you have any questions or comments.

Sincerely,

Alain Kohl

Associate Editor

PLOS Pathogens

Sonja Best

Section Editor

PLOS Pathogens

Kasturi Haldar

Editor-in-Chief

PLOS Pathogens

orcid.org/0000-0001-5065-158X

Michael Malim

Editor-in-Chief

PLOS Pathogens

orcid.org/0000-0002-7699-2064

***********************

We will not ask for additional experiments at this stage, but would ask that any comments about interpretation or missing data/figures are addressed at revision.

Reviewer Comments (if any, and for reference):

Reviewer's Responses to Questions

Part I - Summary

Please use this section to discuss strengths/weaknesses of study, novelty/significance, general execution and scholarship.

Reviewer #1: The authors did a very thorough job addressing the reviewers concerns through the addition of more explanatory text, extra experiments and additional controls.

Reviewer #2: The manuscript is now substantially improved, and the authors put quite some efforts in providing important missing controls on EMSA assays and modulation of piRNA. Furthermore, additional clarifications on experimental set-up s and statistical analysis were added, and some statements on interpretation of experiments were tuned down. Nonetheless, this reviewer feels that the claim that Loq plays a role in vRNA replication is still not experimentally supported (see comment below).

Reviewer #3: The authors have put considerable effort into addressing the reviewers’ comments with a number of rewrites, additional experiments and analyses. My original comments have been addressed in full and I have no further comments.

**********

Part II – Major Issues: Key Experiments Required for Acceptance

Please use this section to detail the key new experiments or modifications of existing experiments that should be absolutely required to validate study conclusions.

Generally, there should be no more than 3 such required experiments or major modifications for a "Major Revision" recommendation. If more than 3 experiments are necessary to validate the study conclusions, then you are encouraged to recommend "Reject".

Reviewer #1: None noted

Reviewer #2: This reviewer is still particularly concerned on the interpretation of the Loq k.d. results on viral RNA replication. Indeed, despite the clarifications provided by the authors, in the revised manuscript there is still no experimental evidence that Loqs plays a role in viral RNA replication.

The justification that in the authors' hands the subgenomic replicon used is “not stable/degraded” over time seems not to be experimentally supported, as data presented are normalized by the 3h R.L.U. value, which represent the input (i.e. translation of in vitro synthesized RNA). Clearly, both in Figure R1 and in Figure 4h, this replicon replicates above input values for at least 24-40h. To my knowledge a viral RNA which does not replicate should decline over time. In vertebrate cells this usually happens at 12h.p.t..

Importantly, the new sentences added in the text do not resolve this issue, but simply state that according to the authors this replicon does not replicate:

Lines 221-223: “To this end, Renilla luciferase expression was monitored after transfection of subgenomic replicon RNA into Ae. aegypti Aag2 cells, under experimental conditions in which replicon RNA is translated but not replicated (Fig. 4H)”. If such claim has to be made, comparing a R.L.U. activity of a replication-deficient replicon (such as an NS5 “GND-mutant” which by definition does not replicate but can be translated) with a replication-competent would be required.

Additionally, also the new experiment provided upon suggestion by Reviewer 3 (Fig4i), does not corroborate the hypothesis that Loq affect viral RNA replication. Indeed, the crucial experiment proposed by reviewer 3 was to “ measure the accumulation of negative-sense viral RNA in both the replicon and infection experiment to directly measure viral genome replication.”

The experiments provided in new Fig. 4i were performed only with full length viruses in conditions where multiple cycles of replication take place (MOI=0.01, readout by qRT-PCR at 48h.p.i.), thereby confounding/additive effects of viral entry, RNA replication and viral spread on the observed reduction in (-)vRNA cannot be ruled out.

This experiment, or any other unequivocally supporting the hypothesis that vRNA replication is affected is required. Alternatively, the author should rephrase the corresponding paragraphs referring to a more general effect on “viral replication”.

Reviewer #3: N/A

**********

Part III – Minor Issues: Editorial and Data Presentation Modifications

Please use this section for editorial suggestions as well as relatively minor modifications of existing data that would enhance clarity.

Reviewer #1: None noted

Reviewer #2: - The new figure cited in the rebuttal and the main test „Fig S1d” is missing from the supplementary file

- The GFP empty control in Fig5 was required to control for bleedthrough of the 488 channel in the 568 channel rather than the colocalization. In general, resolution of Fig 5 (including the high-res downloadable file) is still very poor.

Reviewer #3: N/A

**********

PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files.

If you choose “no”, your identity will remain anonymous but your review may still be made public.

Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy.

Reviewer #1: No

Reviewer #2: Yes: Pietro Scaturro

Reviewer #3: No

Figure Files:

While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email us at figures@plos.org.

Data Requirements:

Please note that, as a condition of publication, PLOS' data policy requires that you make available all data used to draw the conclusions outlined in your manuscript. Data must be deposited in an appropriate repository, included within the body of the manuscript, or uploaded as supporting information. This includes all numerical values that were used to generate graphs, histograms etc.. For an example see here: http://www.plosbiology.org/article/info%3Adoi%2F10.1371%2Fjournal.pbio.1001908#s5.

Reproducibility:

To enhance the reproducibility of your results, we recommend that you deposit your laboratory protocols in protocols.io, where a protocol can be assigned its own identifier (DOI) such that it can be cited independently in the future. Additionally, PLOS ONE offers an option to publish peer-reviewed clinical study protocols. Read more information on sharing protocols at https://plos.org/protocols?utm_medium=editorial-email&utm_source=authorletters&utm_campaign=protocols

References:

Please review your reference list to ensure that it is complete and correct. If you have cited papers that have been retracted, please include the rationale for doing so in the manuscript text, or remove these references and replace them with relevant current references. Any changes to the reference list should be mentioned in the rebuttal letter that accompanies your revised manuscript. If you need to cite a retracted article, indicate the article’s retracted status in the References list and also include a citation and full reference for the retraction notice.

Decision Letter 2

Alain Kohl, Sonja M Best

26 Jul 2022

Dear Dr. Van Rij,

We are pleased to inform you that your manuscript 'Arbovirus-vector protein interactomics identifies Loquacious as a co-factor for dengue virus replication in Aedes mosquitoes' has been provisionally accepted for publication in PLOS Pathogens.

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Reviewer Comments (if any, and for reference):

Acceptance letter

Alain Kohl, Sonja M Best

1 Sep 2022

Dear Dr. van Rij,

We are delighted to inform you that your manuscript, "Arbovirus-vector protein interactomics identifies Loquacious as a co-factor for dengue virus replication in Aedes mosquitoes," has been formally accepted for publication in PLOS Pathogens.

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Thank you again for supporting open-access publishing; we are looking forward to publishing your work in PLOS Pathogens.

Best regards,

Kasturi Haldar

Editor-in-Chief

PLOS Pathogens

orcid.org/0000-0001-5065-158X

Michael Malim

Editor-in-Chief

PLOS Pathogens

orcid.org/0000-0002-7699-2064

Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Supplementary Materials

    S1 Fig. DENV non-structural proteins interact with Loqs-PA.

    A. Volcano plot of proteins interacting with GFP-tagged Loqs-PA in DENV2 infected Aag2 cell lysates as determined by label-free quantitative mass spectrometry. The X-axis shows the log2 fold change (FC) of anti-GFP immunoprecipitation (IP) over control IP using the same lysate and non-specific beads (control), and the Y-axis shows -log10(p-value). Hits with a log2(FC) higher than 7 or -log10(p-value) higher than 6 were labeled. Colored dots indicate proteins of interest. Each condition was performed in triplicate. B. Functional STRING networks of Loqs interacting proteins (top right quadrant in (A)) based on Ae. aegypti annotation, using the following three sources: experiments, databases or co-expression. Interactions from FLAG-NS1 and FLAG-NS5 immunoprecipitations (Fig 1) were added in purple. Nodes are scaled to the fold enrichment in Loqs immunoprecipitation and colored according to the presence of major RNA-interacting domains defined by DAVID clustering of D. melanogaster orthologs. Edges are representative of the number of sources (thickness) and the confidence (color) supporting the interaction as defined by STRING. Functional groups were imputed from DAVID clustering and literature analysis.

    (EPS)

    S2 Fig. Expression of Loquacious isoforms in Ae. aegypti mosquitoes and depleted cells.

    A. Density plot of Loqs RNA seq reads in Ae. aegypti. Each line represents a unique sequence library from three separate VectorBase datasets: DS_dcde6b4ec9, DS_24f2db6f66 and DS_ded344cb5e [9395]. B-D. Relative quantification of targeted gene mRNA expression from Figs 4E (S1B), 4F (S1C), 4G and 4I (S1D), and 4J, 4K, S2F and S2G (S1E). Gene expression was normalized to the housekeeping gene lysosomal aspartic protease and expressed relative to expression in cells treated with control dsRNA targeting luciferase (GL3). F. Total miRNAs at 48 h after infection at an MOI of 0.1 in Loqs depleted or control (GL3 luciferase dsRNA treated) Aag2 cells. Total miRNA reads were normalized to tapiR1. G. Correlation of Ae. aegypti miRNA levels in GL3 (x-axis) and Loqs (y-axis) dsRNA treated Aag2 cells infected with DENV (left panel) or ZIKV (right panel). The sum of raw read counts of miRNAs across three small RNA library replicates were calculated via Samtools. Highlighted are miRNAs with > 2-fold differential expression with an adjusted p-value < 0.05 using DEseq2. RPM, reads per million.

    (EPS)

    S3 Fig. Knockout of Loqs in U4.4-AgoKO cells.

    U4.4-Ago2KO; Loqs KO cell lines were generated by CRISPR/Cas9-mediated editing of the Loqs gene in U4.4-Ago2KO cells, single-cell colonies were grown, and the edited sites in exon 2 were Sanger sequenced. Top panel, gene structure and conserved domains of two Loqs paralogs annotated in the genome sequence of the Ae. albopictus C6/36 cell line [96] (AALC636_029187 and AALC636_022034), each of which predicted to encode a long and short isoform. The coding sequences of the two paralogs are 99.2% identical at the nucleotide level and both are expected to be targeted by the sgRNAs used for CRISPR/Cas9 editing. Bottom panel, sequencing identified one clone (guide 1, clone #1) containing two small deletions that both induced out-of-frame mutations in the first dsRBD of Loqs.

    (EPS)

    S4 Fig. Purification of recombinant Loqs-PA and–PB.

    Coomassie blue stained polyacrylamide gel containing lysates from the indicated purification steps of Ae. aegypti MBP-tagged Loqs-PA and Loqs-PB from E. coli.

    (EPS)

    S5 Fig. Uncropped gel images.

    A. Uncropped images of the western blots from Fig 1A. B-C. Uncropped images of the EMSAs from Fig 6A and 6C.

    (TIFF)

    S6 Fig. Uncropped IFA images.

    Uncropped images of IFAs from Fig 5. Only cells with low to moderate expression of Loqs-GFP were analyzed.

    (EPS)

    S1 Table. NS1 and NS5 mass spectrometry hit summary.

    List of proteins enriched at least 2.5-fold in NS1 or NS5 immunoprecipitations with their -log10(p-value) and log2(fold change) values plotted on the volcano plot (Fig 1D), the LFQ after row-mean subtraction plotted on the heatmap (Fig 1E) as well as protein and gene identifiers in Ae. albopictus and references to orthologs in Ae. aegypti, D. melanogaster and H. sapiens. Individual values plotted on the heatmap were labeled when below (blue) or above (red) the row average. Proteins associated with both NS1 and NS5 are highlighted in yellow. Hits included in the STRING network (Fig 2) and GO terms are indicated. Ost48 and Stt3A were included after literature review.

    (XLSX)

    S2 Table. GO term analysis data.

    Complete GO term analysis of Fig 2A, including GO terms for biological process (BP), cellular component (CC) and molecular function (MF).

    (XLSX)

    S3 Table. List of oligonucleotides used for cloning, dsRNA production, qPCR, PCR and EMSA probes.

    (XLSX)

    S4 Table. Loqs mass spectrometry hit summary.

    List of proteins enriched at least 3.5-fold in Loqs immunoprecipitation with their -log10(p-value) and log2(fold change) values plotted on the volcano plot (S1 Fig). Protein and gene identifiers in Ae. aegypti and references of D. melanogaster orthologs were specified. ID used for STRING network analysis and DAVID clustering, and names used in S1 Fig are specified.

    (XLSX)

    S5 Table. Reference sequences.

    List of protein sequences used for the phylogenetic tree of Fig 4A.

    (XLSX)

    Attachment

    Submitted filename: 20220608-Loqs_PLOSpath-Response_to_reviewers_rev5_submitted.docx

    Attachment

    Submitted filename: 20220721-Loqs_PLOSpath-Response_to_reviewers_R2_submitted.pdf

    Data Availability Statement

    Mass spectrometry proteomics data have been deposited to the ProteomeXchange Consortium via the PRIDE partner repository with the dataset identifiers PXD031112 and PXD035419. Other relevant data are within the manuscript and its Supporting information files.


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