key: cord-1050827-bjjb37v9 authors: Schneider, William M; Hoffmann, Hans-Heinrich title: Flavivirus–host interactions: an expanding network of proviral and antiviral factors date: 2021-12-09 journal: Curr Opin Virol DOI: 10.1016/j.coviro.2021.11.007 sha: dbef4966d9cb8948791290a16e7a109fa7748e3d doc_id: 1050827 cord_uid: bjjb37v9 Flaviviruses are zoonotic pathogens transmitted by the bite of infected mosquitos and ticks and represent a constant burden to human health. Here we review recent literature aimed at uncovering how flaviviruses interact with the cells that they infect. A better understanding of these interactions may ultimately lead to novel therapeutic targets. We highlight several studies that employed low-biased methods to discover new protein–protein, protein–RNA, and genetic interactions, and spotlight recent work characterizing the host protein, TMEM41B, which has been shown to be critical for infection by diverse flaviviruses and coronaviruses. Flaviviruses are a family of positive-strand RNA viruses that includes important human pathogens such as Zika (ZIKV), yellow fever (YFV), dengue (DENV), West Nile (WNV), Japanese encephalitis (JEV), Powassan (POWV) and tick-borne encephalitis (TBEV) viruses. Together, these viruses contribute to staggering numbers of human infections and deaths each year [1] . Flaviviruses are usually transmitted through arthropod vectors and dissemination is therefore influenced by climate and geography. Increased human population densities, human movement, and the expanding range for ticks and mosquitoes due to rising global temperatures associated with climate change have contributed to increased numbers of epidemics in new geographical locations [2] [3] [4] [5] [6] . Successful vaccines have been developed for the prevention of YFV, JEV, and TBEV infection, but none are available for other pathogenic flaviviruses. Moreover, there are currently no approved drugs available for the specific treatment of any flaviviral disease; however, a promising small molecule pan-DENV candidate was recently described [7 ] . An alternative approach to developing anti-flaviviral therapies is to disrupt critical interactions that occur between host factors and viral proteins or RNAs. Host factors can be cellular proteins, RNAs, lipids, sugars, or small molecules, and they can be discovered by direct or indirect physical interactions with viral RNA or proteins or through genetic interactions by perturbing the host. As existing techniques improve and new technologies are developed, a steady stream of new virus-host interactions continues to be uncovered. In this short review, we highlight some of the papers published in the past two to three years that used low-biased methods to identify flavivirus-host interactions. We then spotlight one host factor, transmembrane protein 41b (TMEM41B), where a variety of recent studies collectively shed light on how this protein, which has a reported role in autophagy, may facilitate the formation of flavivirus RNA replication organelles (ROs). Affinity purification-mass spectrometry (AP-MS) is one low-biased approach to identify virus-host protein-protein interactions. This often entails engineering affinity purification tags on viral protein(s) of interest, ideally, in the context of the viral genome. This is challenging for flaviviruses since all viral proteins are produced as a single long polypeptide chain, and affinity purification tags can interfere with polyprotein processing by virus and host proteases and protein function. Consequently, most flavivirus AP-MS studies rely on overexpression of individual affinity-tagged viral proteins (which can affect localization and protein-protein interactions), and results can vary depending on the design of expression constructs and purification conditions. Many flavivirus proteins are also intimately associated with membranes, which poses additional challenges for retaining protein-protein interactions during sample preparation. Despite these caveats, researchers have employed this strategy to identify bona fide flavivirus host factors [8,9,10 ,11,12] . A recent review describes several flavivirus host factors and pathways identified in large-scale AP-MS screens [13 ] . Here we highlight select host factors identified in recent screens performed in human cells with known roles in autophagy. Subsequently, we review several studies performed in mosquito and tick cells. Among 386 ZIKV interactors identified by Scaturro et al. in human SK-N-BE2 cells, TMEM41B was found to interact specifically with ZIKV NS4B, a viral transmembrane protein involved in forming ROs [10 ] . TMEM41B has since been shown to be important for early stages of autophagy [14,15 ,16,17] . Further, Scaturro et al. also performed a global phospho-proteomics analysis in uninfected and ZIKV-infected cells and uncovered differential regulation of several signaling pathways including downregulation of AKT-mTOR signaling in ZIKVinfected cells and increased phosphorylation of DAP, a negative regulator of autophagy. This is consistent with an upregulation of autophagy previously observed in ZIKV-infected cells [18] . In addition to these observations, Shah et al. identified an interaction between DENV NS4B and p62/SQSTM1 [11] . SQSTM1 is also involved in autophagy and was previously shown to be functionally relevant for flavivirus infection [19, 20] . Additional work is required to determine whether autophagy itself is important for flavivirus infection or whether proteins involved in autophagy are hijacked simply to remodel membranes and establish ROs [21 ,22] . Since flaviviruses persist in arthropod vectors it is also important to understand how host factor interactions overlap or differ between vector and host species. This information could reveal essential interactions shared across diverse hosts and/or cellular factors that can be targeted in vector species to reduce virus dissemination. While progress has been made [23, 24] , genome annotations for tick species are still incomplete making MS-based methods of host factor discovery difficult. However, Lemasson et al. [25] recently reported a yeast two-hybrid (Y2H)-based screen to identify protein-protein interactions of TBEV and louping ill virus (LIV) proteins in tick cells. Here, all TBEV and LIV proteins were screened against a cDNA library generated from Ixodes ricinus-derived cell lines. The authors identified interactions with multiple proteins implicated in signal transduction, protein degradation, and cytoskeletal function. Interestingly, the viral NS5 and prM proteins appeared to interact with several tumor necrosis factor (TNF) receptor-associated factor (TRAF) proteins, which may facilitate viral persistence in ticks and promote viral transmission to mammalian hosts. For the mosquito vector, Shah et al. [11] also reported a DENV interactome using Aag2 cells, and Marin-Lopez et al. [26] performed MS on purified DENV particles incubated with salivary glands extracted from Aedes aegypti mosquitoes. The authors of the latter study identified 45 salivary gland proteins that potentially interact with DENV virions. Two proteins (AAEL006582 and AAEL004559) were further evaluated in vitro and in vivo and found to regulate viral burden. AAEL006582 is a calcium transporter ATPase protein that may play a role in the secretory pathway, and AAEL004559 belongs to the synaptosomal-associated protein (SNAP) family, which is implicated in endocytic and exocytic trafficking, vesicle fusion, and autophagy. These studies and others [27] have become increasingly feasible as Aedes aegypti genome annotations continue to improve [28] . The 11 kb positive-sense single-stranded genomic RNA found in virions serves as a messenger RNA which gives rise to all flavivirus proteins and alone is sufficient to initiate infection. Once sufficient viral proteins are produced and ROs are formed, this same RNA molecule transitions to become the template for minus-strand RNA synthesis, which is the template for making more plus strands that yield more viral proteins, and ultimately, new virus particles. Several groups have taken a low-biased RNA-centric approach to identify host proteins that interact directly or indirectly with flavivirus RNA. In 2016 two groups utilized UV light to covalently crosslink DENV RNA to proteins, followed by denaturation and DENV RNA capture using antisense oligos [29, 30] . More recently, a similar approach by Ooi et al. named ChIRP-MS (comprehensive identification of RNA-binding proteins by mass spectrometry) was employed to capture proteins associated with ZIKV and DENV RNA [31 ] . A major difference between this method and the previous reports is the use of formaldehyde chemical crosslinking rather than UV-crosslinking. While UV-crosslinking is specific for direct protein-RNA interactions, formaldehyde crosslinking forms covalent protein-RNA and protein-protein crosslinks facilitating the recovery of larger complexes. This may preserve information about the context in which protein-RNA interactions occur. In comparison to the UV-crosslinking studies which identified 12 and 93 protein interactors, respectively [29, 30] , the ChIRP-MS method identified 494 proteins that the authors categorized as high confidence interactors. Although the list is large, it is encouraging that 75% of the hits have known or predicted RNA binding domains and proteins that localize to the ER, where the viral RNA is replicated, translated, and packaged into new virions. To prioritize candidates for further characterization, Ooi et al., integrated their list of ChIRP-MS host factors with previously published genome-wide knockout screen data sets along with their results from additional screens [31 ] . This analysis highlighted the overlap between known host factor complexes such as the OST complex, and identified Vigilin (aka, high-density lipoprotein-binding protein; HDLBP) and RRBP1 (ribosome binding protein 1) as two host factors required for flavivirus infection. While the mechanisms await further elucidation, the studies described in the paper indicate that RRBP1 and Vigilin promote the translation, replication, and stability of flavivirus RNA. The studies described above focused on the replication stage of infection. In future studies, it may also be interesting to interrogate the earliest protein interactions of the incoming viral RNA using alternative crosslinking methods such as the recently described VIR-CLASP (viral cross-linking and solid-phase purification) method used to identify host factors that associate with the prereplicated chikungunya virus genome [32] . Correlating gene expression with virus infection is another powerful, low-biased approach to gaining insights into virus-host interactions. In recent work by Zanini et al. [33 ] , the authors performed single-cell RNA-seq on DENV-infected and ZIKV-infected cells, then capitalized on the high degree of heterogeneity in gene expression and virus replication naturally present in cell populations to identify candidate proviral and antiviral genes. Their approach, which they termed viscRNA-Seq (virus-inclusive single cell RNA-Seq), entails a modified library preparation that includes virus-specific oligos to capture viral RNAs in addition to oligo-dT to capture polyadenylated cellular mRNAs. In doing so, the authors identified cells with a wide range of viral RNA abundance. This information was used to draw a correlation or anti-correlation with cellular mRNA abundance. The prediction was that genes whose abundance correlated with viral RNA may have a proviral role, whereas genes whose abundance was anti-correlated may have an antiviral role. Several genes whose mRNA abundance correlated with viral RNA were previously identified in genome-wide CRISPR KO screens as proviral host factors, thereby providing confidence in the approach [19, 34] . The authors then used siRNA knockdown to demonstrate that other potentially pro-DENV factors including components of the ER translocon (RPL31 and TRAM1) and proteins involved in membrane trafficking (TMED2, COPE, HSPA5, and DDIT3) were indeed important for virus infection. Some of these host factors were also found to increase viral infection when overexpressed as cDNAs, indicating that their abundance may be ratelimiting. Similar experiments were performed for potential anti-viral host factors and the authors found that knocking down ID2 and CTTNB1 (B-catenin) increased DENV infection indicating that these genes may indeed have an antiviral role. Interestingly, the authors also identified several genes that displayed a more complicated relationship with virus infection over time-for example, some genes initially correlated with viral abundance and then anticorrelated, and vice versa. The authors speculate that these host factors may promote the accumulation of viral RNA at one stage of the life cycle and limit it at another. In summary, this RNA-seq approach identified additional flavivirus host factors and uncovered several potentially important differences between ZIKV and DENV. It may be interesting to couple the viscRNA-Seq approach with pooled CRISPR activation or inhibition methods to further perturb gene expression and determine the effect that induced changes to host gene expression have on flavivirus infection. In recent years, pooled CRISPR KO screens have proven to be a powerful and accessible genome-scale approach to identify proviral host factors. Typically, a population of KO cells is infected, the virus spreads through the culture killing cells, and the surviving cells are collected for analysis. Some limitations to this approach are that genes essential for cell growth or survival cannot be interrogated and screens are biased towards identifying host factors required during the early stages of the virus infection. Nevertheless, one advantage of this method is that it inherently includes a functional readout. Numerous flavivirus screens from multiple labs have used this approach to identify critical flavivirus host factors including, among others, STT3A/B involved in oligosaccharide transfer, SSR1/2/3 involved in protein translocation into the ER, and ER membrane complex (EMC) subunits, which facilitate folding of transmembrane proteins [19, 34, 35] . Recently, Ngo et al. [36] further characterized the role of the EMC in flavivirus infection and found that this complex is essential for the proper topology of flavivirus transmembrane proteins NS4A and NS4B [36] . In addition, recent CRISPR KO screens have been published including a genome-wide screen with ZIKV performed in human stem cells differentiated into neural progenitor cells [37] , a ZIKV screen in Huh-7.5 cells [38 ] , and screens with ZIKV and YFV in HAP1 cells [21 ] . Highlights from these reports include mechanistic followup where Shue et al. show that RACK1 is required for multiple mosquito-borne and tick-borne flaviviruses as well as the coronavirus, SARS-CoV-2 [38 ] . The results indicate that RACK1 may be involved in establishing ROs on the ER membrane. Work from Hoffmann et al., focused on TMEM41B, which, like RACK1, was found to also be required by multiple mosquito-borne and tickborne flaviviruses as well as multiple coronaviruses [39] and is likely important for establishing ROs. Like MS-based methods, the ability to perform lowbiased functional genomics screens in vector species requires reasonably well annotated genomic information. This, together with fewer options for delivering screening machinery (e.g., Cas9 and sgRNAs) to mosquito and tick cells, has limited similar studies in these cell types. Nevertheless, CRISPR-Cas9 systems are established in mosquito cells and larger-scale screens are within reach [40] [41] [42] . Here we highlight the host factor, TMEM41B, which is involved in autophagy and is critical not only for flaviviruses, but also coronaviruses. TMEM41B was first identified as a potential DENV host factor when it appeared as a hit in a genome-wide CRISPR KO screen [19] . Subsequently, Scaturro et al. identified TMEM41B as a ZIKV NS4B interacting partner and verified that it was indeed important for flavivirus infection [10 ] . Aside from this, little was known about the cellular function of TMEM41B until within a short time frame three independently reported CRISPR KO screens identified TMEM41B as a critical regulator of autophagy [14,15 ,17] . In our recent publications [21 ,39] , we show that TMEM41B is an essential host factor for diverse members of both the Flaviviridae and Coronaviridae. We found that TMEM41B is also required for multiple flaviviruses in the mosquito vector and, that autophagy per se is not required for flavivirus infection [21 ] . Additional studies corroborate these findings and solidly establish TMEM41B as a bona fide host factor that is broadly required for these two virus families [21 ,22, 39,43,44] . Growing evidence indicates that TMEM41B and a related protein, VMP1, act at the early stages of autophagosome formation, possibly mobilizing lipids in the ER to facilitate membrane curvature [14,15 ,16,17,45,46] . Indeed, several groups have shown that both proteins act as phospholipid scramblases capable of flipping lipids between leaflets of lipid bilayers [47,48 ,49-51] . It is possible that flaviviruses and coronaviruses hijack this function to form ROs on ER membranes by recruiting one or both proteins through direct protein-protein interaction. It is also possible that co-localization of TMEM41B with ROs occurs through passive diffusion, where, by mobilizing neutral and sterol lipids, TMEM41B helps lower the local free energy imposed by viral proteininduced membrane curvature. A model of TMEM41B's role in cellular and viral membrane remodeling processes is depicted in Figure 1 . Several observations related to TMEM41B's role as a flavivirus host factor remain unexplained. For example, there is variability in the requirement for TMEM41B among cell types and viruses, and single amino acid 74 Viral pathogenesis Transmembrane protein 41B (TMEM41B) and vacuole membrane protein 1 (VMP1) interact and function as lipid scramblases facilitating membrane expansion and organelle biogenesis needed for the formation of autophagosomes. Upon flavivirus infection the viral polyprotein is folded into the ER membrane and processed by host and viral proteases. TMEM41B is recruited by viral proteins, and its scramblase function is redirected to facilitate membrane remodeling to form replication organelles (RO). ROs can be grouped into two morphologically distinct classes designated as double membrane vesicles (DMV) or protrusion-type ROs and invaginated/spherule-type ROs. While DENV and ZIKV induce invaginated ROs [52, 53] , HCV induces protrusion-like ROs [54] . Similar DMV structures derived from various organelles have been found in cells infected with other (+) sense RNA viruses, for example, picornaviruses [55, 56] , noroviruses [57] , arterivirus [58] and coronaviruses [59] [60] [61] [62] [63] . mutations in NS4A/B are sufficient for ZIKV and YFV to replicate in TMEM41B KO cells [21 ] . Can these observations be explained by redundancy in TMEM41B activity (e.g., compensation by VMP1)? Most importantly, can TMEM41B's role in autophagy and lipid homeostasis be separated from its proviral role in flavivirus and coronavirus infection? Answering these questions will be critical for deciding whether targeting TMEM41B is a viable antiviral strategy. Unsurprisingly, most host factor studies to date have been performed in mammalian cells. However, flaviviruses have evolved to persist in vector species and characterizing host factor interactions in vector species represents a new frontier for future studies. With new mosquito and tick genomes being sequenced and gene annotations improving, discovering host factor interactions in these species is becoming increasingly feasible. Discovery, however, is only the beginning, and obtaining mechanistic insight will continue to be essential to advance the field. As exemplified by the brief review of TMEM41B, this often requires a variety of techniques and expertise from diverse fields to gain new insights. With new discoveries to be made and even more mechanistic details to be sorted out, the field of flavivirus-host interactions is sure to remain an exciting area of investigation for the foreseeable future. Nothing declared. 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Ashbrook, Margaret R. MacDonald, Michael Bauer, and Michael G. Grodus for critical feedback, and we thank Charles M. Rice for providing us with this opportunity. This work was supported by the National Institute of Allergy and Infectious Diseases of the National Institutes of Health under Award Number R01AI124690 (to C. M. Rice). The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health nor does it represent the official position of the Centers for Disease Control and Prevention.