Biology subjects

Gupta, M.

Publications and source records attributed to Gupta, M..

At least 19 recordsLinked to original sources

bioRxiv2026

Peroxisome quality control is gated by a dynamic ATF6α-ABCD3 tether

The endoplasmic reticulum (ER) coordinates protein folding and lipid biosynthesis, while peroxisomes govern fatty-acid catabolism and redox balance. However, little is known about the mechanisms by which these organelles communicate. Here we show that activating transcription factor 6 (ATF6), a cytoprotective ER-resident sensor of the unfolded protein response (UPR), forms a molecular tether that zippers the ER and peroxisomes together at a 23-nm intermembrane distance. ATF6 achieves this by inserting a short segment of its unstructured N-terminal cytosolic tail into the solvated transmembrane cavity of the peroxisomal ABC-type lipid transporter ABCD3, trapping it in an off-state. This interaction is reinforced by Ceapin, a previously identified small molecule molecular-glue ligand, which promotes ER-peroxisome contact formation. The junctions serve as a scaffold that can initiate peroxisome turnover by p62-triggered autophagy (pexophagy), as enhanced lipid processing resulting from organelle zippering leads to peroxisome damage due to excessive reactive oxygen species (ROS) accumulation. These findings define ATF6 as a non-transcriptional regulator of organelle quality control and provide a template for engineering Ceapin analogues against ATF6/ABCD3-dependent colorectal and hepatocellular cancers and related diseases.

cell biology↗

bioRxiv2026

HIV-1 Ribonucleoprotein Complex Organization Facilitates Assembly of the Mature HIV-1 Capsid

The encapsulation of the viral RNA condensate inside the capsid is a crucial step in the late stages of the HIV-1 replication cycle. While it is agreed that RNA encapsulation depends on RNA-bound integrase (IN), that capsid-bound IN-RNA filaments are present within the capsid, and that the ribonucleoprotein (RNP) complex takes up only a fraction of the capsid volume, the timing of filament formation and ribonucleoprotein (RNP) encapsulation are unclear. Here, we ran virion-scale, coarse grained molecular dynamics simulations to identify how the organization of the RNP and IN in particular affects mature capsid assembly and genome encapsulation. These virion-scale simulations allow for direct comparison between experimental capsid morphologies and those self-assembled in the simulations. It was found, when relatively few tetramers are on the RNP surface, that IN tetramers could facilitate RNA encapsulation without filling a significant fraction of the capsid volume, but do not form a capsid-templated filament. When octameric IN-RNA filaments are modeled, it was found that WT-like capsid morphologies form only when the IN is organized as a single long filament, in agreement with recent experimental suggestions. These capsids are more conical and elongated than the capsids assembled around the RNP with tetrameric IN. Thus, we suggest the IN-RNA filament assembles ahead of the capsid and directs it to its final conical morphology, consistent with the experimental observation of less elongated capsids when IN oligomerization is disrupted.

molecular biology↗

bioRxiv2026

Interactions between epistasis and pleiotropy in generic models of complex traits

Evolution in fluctuating environments depends critically on epistatic interactions between mutations and the pleiotropic effects these mutations have on fitness across multiple conditions. However, while these effects of epistasis and pleiotropy have been extensively studied individually, the interactions between them are less well understood. In this study, we analyze how genetic background shapes the effects of mutations across multiple environmental conditions in generic models of complex traits. We show that when epistasis is widespread and random, systematic patterns of cross-environment pleiotropy can emerge naturally. Specifically we outline two regimes, widespread random epistasis (WRE) and structured pleiotropy (SP), in which patterns of global epistasis in one environment can be predicted from those in other conditions. We outline these predictions in several classes of generic null models, and test these predictions in laboratory budding yeast by measuring the fitness effects of a large set of mutations across many genetic backgrounds in several growth environments. We find that only a subset of mutations fall within the WRE and SP regimes, but that in these cases two of our models provide accurate fits to the data. Finally, we use this framework to show how modular, pleiotropic architectures shape long-term evolutionary steady states in fluctuating environments, revealing how tradeoffs between environments can develop from the geometry of shared latent interaction structure.

evolutionary biology↗

bioRxiv2026

Scalable Computational Phenomics of Nuclear Morphology

Interpretable computational pathology is constrained by a trade-off between scalable learned representations and biologically explicit phenotypes. Here we present NucXplore, a nuclear phenomics framework that converts each hematoxylin-and-eosin (H&E)-stained nucleus into 129 explicitly defined features spanning morphology, chromatin, intensity, texture, color, and spatial context. A Rust-based implementation accelerates extraction 17.6-fold over the Python reference implementation. Across three histopathology cohorts, NucXplore outperformed classical descriptors and larger deep-learning embeddings while retaining feature attribution. Applied to human skin, hierarchical multiple-instance models resolved eight cellular compartments and decoded age and sun-exposure states, revealing a largely shared aging program with age and cell-specific exposure-dependent recalibration. Conditional flow matching and neural ODE integration transformed cross-sectional phenotypes into model-implied trajectories, uncovering a midlife velocity minimum, late-life re-acceleration, and cell-specific changes in trajectory magnitude and direction. Source-free domain adaptation enabled preliminary transfer of age-associated predictions to an independent hospital cohort. NucXplore thus unifies interpretable representation, high-performance computing, and dynamical modeling for cellular phenotyping from routine histology.

pathology↗

bioRxiv2026

An extended N-terminus restrains the plant cell death-inducing ability of the catalytically competent ribonuclease domain in a pea powdery mildew RALPH effector

RALPH (RNase-like proteins associated with haustoria) effectors, which are preferentially expressed in haustoria and structurally resemble fungal T1/F1 RNases, constitute one of the largest effector families in powdery mildew (PM) fungi, yet their functions in dicot-adapted PM species remain poorly understood. Unlike cereal PM RALPHs, which lack the catalytic residues required for RNase activity, some dicot PM RALPHs retain these residues. Here, we performed a comprehensive structural and expression-based characterization of the pea PM Erysiphe pisi RALPH (EpRALPH) repertoire and functionally characterized EpRALPH11, a RALPH effector with partial conservation of the catalytic residues of T1/F1 fungal RNases. Comparative analyses identified multi-RNase-domain RALPHs as a conserved feature of the Erysiphe lineage, while expression profiling showed that many EpRALPHs are preferentially expressed in haustoria during early host colonization. AlphaFold 3-based structural analyses revealed a conserved T1/F1 RNase-like fold despite substantial sequence and surface charge divergence, indicating functional diversification among EpRALPHs. EpRALPH11 enhanced susceptibility to E. pisi in Medicago truncatula, localized to the nucleolus, and induced nucleolar fragmentation when heterologously expressed in Nicotiana benthamiana leaves. Its RNase domain exhibited T1 RNase activity in vitro, supporting the retention of a catalytically competent RNase domain and, together with its nucleolar localization, suggesting that EpRALPH11 targets plant rRNA and disrupts nucleolar functions. The RNase domain induced cell death in N. benthamiana, whereas the full-length protein and catalytic mutants did not. Cell death induction required exclusive nucleolar localization of the RNase domain, and an extended N-terminal intrinsically disordered region suppressed this activity in the full-length protein. Together, our findings reveal a previously unrecognized mechanis regulating RNase activity in a dicot PM RALPH effector and provide new insights into the functional diversification of RALPHs and their adaptation to obligate biotrophy.

plant biology↗

bioRxiv2026

In Vitro and Computational Evaluation of Thrombolytic Activity of Kinemakinase of Kinema, an Indigenous Fermented Food of Eastern Nepal

Kinema is a traditional fermented soybean food indigenous to the eastern Himalayan regions of Nepal and India. The fermentation process is primarily mediated by the bacterium Bacillus subtilis, which produces several bioactive compounds and enzymes with potential therapeutic applications. Considering the growing burden of cardiovascular diseases and the need for effective fibrinolytic agents for thrombolytic therapy, this study aimed to extract, partially purify, and evaluate the thrombolytic potential of kinemakinase derived from kinema prepared from white soybeans. Partial purification of the enzyme was achieved using ammonium sulfate precipitation. Thrombolytic activity was assessed in vitro using human blood clots, where three enzyme dilutions demonstrated clot lysis ranging from 66% to 68%, indicating considerable fibrinolytic potential. In silico analyses were also performed to investigate the structural and functional characteristics of the enzyme. The tertiary structure obtained from UniProt was modeled using the Robetta server and refined with GalaxyRefine. Docking with fibrin using ClusPro 2.0 and molecular dynamics simulations using iMODS confirmed favorable interaction and structural stability, while disulfide engineering enhanced protein stability. The findings suggest that kinema-derived kinemakinase may serve as a promising alternative thrombolytic agent, warranting further biochemical characterization and dosage optimization. Keywords: Kinema, Kinemakinase, Thrombolytic activity, Bacillus subtilis, Fermentation

microbiology↗

bioRxiv2026

A Curvature Guided Composite Kernel Framework for Differential Gene Selection in Cancer Transcriptomics

Identification of differentially expressed genes is a crucial step for downstream tasks on gene data such as biomarker discovery, drug target identification. Traditional Methods assume negative binomial distribution on RNA-sequence data and models the DEGs using either generalized linear models or by estimating dispersion and assumption of mean-variance rate. The proposed method uses axiomatic approach by using quantum mechanics principles to project transcript data onto a Hilbert space using a composite kernel. Using the curvature generated by the transcripts on the latent manifold within the Hilbert space, a gravitational search inspired mechanism is used to identify the optimal number of differentially expressed genes by minimizing a representational loss function, and a reduced gene feature space is constructed as the potential differentially expressed genes. The proposed method has been compared with existing empirical methods for validation using proper statistical and biological benchmark analysis.

bioinformatics↗

bioRxiv2026

Intrinsic T-cell programming and immune spatial organization govern sex-biased tuberculosis immunity

Biological sex can profoundly influence the susceptibility to infectious diseases, yet the mechanisms behind the sex-dependent protective immunity against tuberculosis (TB) remain poorly understood. Here we show that sexually divergent immunity during chronic Mycobacterium tuberculosis (Mtb) infection is governed by both intrinsic T cell programming and pulmonary immune spatial organization. Using the Four Core Genotype (FCG) mouse model, adoptive cell transfer, pathway-specific blockade and B cell depletion, we demonstrate that CD4 T cells from gonadal females (XXF), but not XX males (XXM), confer enhanced protection to susceptible XY male recipients, independently of sex chromosome complement. Female-derived CD4 T cells reduce Mtb burdens while promoting pulmonary Bcl6 CD4 T cell responses and limiting neutrophilic inflammation. Mechanistically, blockade of CXCR3 or CD40L abrogates female-associated protection, with CD40L signaling additionally required to maintain organized pulmonary B cell structures. Although depletion of conventional B-2 B cells did not impair bacterial control, it disrupted tertiary lymphoid organization and revealed striking sex-specific functions of pulmonary B cells. Loss of B cell follicles (BCFs) primarily remodeled adaptive T cell responses in females, whereas in males it drove inflammatory myeloid activation, exaggerated neutrophil recruitment and widespread neutrophil extracellular trap (NET) formation. Together, these findings identify two complementary layers of sex-dependent immune regulation during TB: intrinsic programming of protective female CD4 T cells, and B cell-dependent spatial organization that coordinates adaptive immunity in females while restraining pathological inflammation in males. These findings establish immune tissue organization as a key determinant of the sexually dimorphic host defense during chronic TB.

immunology↗

bioRxiv2026

Gonadal regulation of sex-specific immunity in tuberculosis: enhanced lymphocyte function in females and dysfunctional myeloid responses in males

Tuberculosis (TB), the worlds deadliest infection, shows higher prevalence and mortality in males than females (M/F ratio >1.7). Using Four Core Genotype (FCG) mice to decouple gonadal from chromosomal sex (XX, XY gonadal males and XX, XY gonadal females), we show that gonadal males develop accelerated disease driven by dysfunctional myeloid responses rather than impaired bacterial recognition. Both XX and XY males exhibited increased mortality, higher Mycobacterium tuberculosis (Mtb) burden, and severe lung pathology. Mechanistically, gonadal male susceptibility involved early myeloid priming, excessive neutrophil recruitment, CCR2 monocyte accumulation, and hyperinflammation, with enhanced neutrophil extracellular trap (NET) formation and disorganized granulomas, implicating testes and androgens as key drivers of male susceptibility. While XY gonadal females were less susceptible, XX gonadal females showed the greatest resistance, associated with coordinated T- and B-cell responses and enhanced B-cell follicle formation. Together, these findings identify gonad-driven myeloid dysregulation as a central mechanism underlying male TB susceptibility.

immunology↗

bioRxiv2026

Synthetic lethality of fungal catabolite repressors reveals essential coupling of carbon repression with mitochondrial and ribosomal gene expression

Carbon catabolite repression (CCR) enables fungi to preferentially utilize favorable carbon sources through global transcriptional control. In filamentous fungi, CCR is classically attributed to the C2H2 zinc-finger repressor Mig1/CreA; however, residual repression following Mig1 disruption suggests additional regulatory layers in Talaromyces pinophilus (previously called Penicillium funiculosum NCIM1228). Here, we identify Mig3, a previously uncharacterized, Eurotiales-specific C2H2 transcription factor that functions redundantly with Mig1 in CCR. Mig3 contains conserved N-terminal zinc-finger motifs and a fungal transcription factor middle homology region and binds canonical Mig1 response elements with higher DNA affinity. Genetic analyses reveal that simultaneous loss of Mig1 and Mig3 is synthetically lethal, indicating an essential shared function beyond carbon repression. Integrative transcriptomic, chromatin immunoprecipitation sequencing, and proteomic analyses demonstrate that Mig1 and Mig3 directly regulate genes encoding mitochondrial and ribosomal components, including key factors involved in oxidative phosphorylation, while repressing genes required for alternative carbon metabolism. Loss of either repressor compromises expression of respiratory and ribosomal genes and confers hypersensitivity to mitochondrial and ribosomal inhibitors. In addition, both repressors physically associate with mitochondrial, ribosomal, and central metabolic proteins, suggesting coordination of transcriptional and post-transcriptional regulatory mechanisms. Together, our findings redefine fungal catabolite repressors as metabolic gatekeepers that couple CCR to mitochondrial and ribosome biogenesis, thereby controlling the metabolic switch between core cellular growth processes and enzyme secretion.

microbiology↗

bioRxiv2026

Mechanism of HIV-1 Capsid Rupture and Uncoating by Reverse Transcription

One of the key events in the HIV-1 life cycle is reverse transcription, during which single-stranded viral RNA (ssRNA) is converted into double-stranded DNA (dsDNA). This process occurs inside the mature virus capsid and, once it reaches a critical threshold, drives capsid rupture. This uncoating is essential for infection because it releases viral genetic material into the host cell nucleus. Despite its importance, many mechanistic details of this process remain to be fully understood. To address this gap, we develop a multiscale computational method for simulating reverse transcription inside the capsid, termed Coarse-Grained Kinetic Monte Carlo (CG-KMC). CG-KMC stochastically adds deoxynucleotide triphosphates (dNTPs) to the coarse-grained RNA model, enabling stepwise growth of DNA inside the HIV-1 capsid. We implement this method within an integrative coarse-grained framework that combines a "bottom-up" capsid model with a "top-down" representation of the viral RNA/DNA genome. Our simulations phenomenologically capture and predict diverse capsid rupture pathways during reverse transcription. The resulting ruptured structures closely match previously identified cryo-ET images. We further perform an extensive analysis of the rupture process, examining its mechanistic and kinetic aspects as well as the role of capsid-DNA interactions. Our findings illuminate how different capsid-DNA conditions give rise to distinct rupture pathways, which differ from ruptures due to simple outward pressure expansion models from within the capsid. Significance StatementReverse transcription (RT) is a critical step in the life cycle of HIV-1, the causative agent of the AIDS pandemic. During RT, single-stranded RNA (ssRNA), encapsulated inside a mature capsid, is converted into double-stranded DNA (dsDNA). The rigidity of dsDNA generates increased internal pressure inside the capsid which, beyond a critical threshold, drives capsid uncoating, releasing the viral genome into the infected host cell. However, key mechanistic and kinetic aspects of this process remain unresolved. Here, using coarse-grained simulations, we elucidate the mechanistic basis of RT-induced capsid uncoating and quantify the role of capsid-genome interactions. Our results demonstrate that tuning these interactions may provide a potential antiviral strategy to inhibit infectivity by targeting RT.

biophysics↗

bioRxiv2026

Engineering a Glucose-Inducible Whole-Cell Biosensor via CRISPRi-Based Promoter Reprogramming

Precise monitoring of intracellular glucose dynamics is essential for understanding carbon flux, optimizing microbial bioprocesses, and enabling responsive control of engineered metabolic pathways. Here, we develop a modular whole-cell biosensor in Escherichia coli that converts the native glucose repression phenotype of a CAP-sensitive promoter into a tunable, glucose-inducible output using CRISPR interference (CRISPRi). By placing a guide RNA (gRNA) under the control of the CAP promoter and positioning dCas9 to target the -10 region of a constitutive promoter driving sfGFP, we created an inversion circuit in which glucose suppresses gRNA expression, thereby relieving dCas9-mediated repression and activating fluorescence. Systematic evaluation of gRNA strand orientation and target site selection revealed that template-strand targeting yielded strong repression ([~]90 %) but reduced sensing range, whereas moderately repressive non-template gRNAs ([~]27-35 % repression) enabled optimal signal inversion. The resulting biosensor demonstrated a robust, linear fluorescence response across 200 M -50 mM glucose (R{superscript 2} > 0.97), with high specificity against other sugars and a strong correlation between glucose consumption and fluorescence accumulation (R{superscript 2} {approx} 0.996). To extend the functionality of the platform, we integrated the sensor with a secreted {beta}-glucosidase module that hydrolyzes cellobiose to glucose. The biosensor accurately quantified glucose released during cellobiose degradation, with engineered strains producing up to [~]33 mM glucose from 50 mM cellobiose in a two-plasmid system. This coupling of enzymatic conversion with intracellular sensing enabled real-time, non-destructive monitoring of metabolic transitions. Together, this work establishes a programmable CRISPRi-based strategy for inverting native promoter logic and provides a sensitive, specific, and modular platform for metabolite sensing in bacteria. The approach is broadly applicable for dynamic pathway regulation, monitoring carbon fluxes, and building responsive genetic circuits in metabolic engineering and synthetic microbial ecosystems. TOC O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=116 SRC="FIGDIR/small/717388v1_ufig1.gif" ALT="Figure 1"> View larger version (35K): org.highwire.dtl.DTLVardef@158eb53org.highwire.dtl.DTLVardef@c1a21eorg.highwire.dtl.DTLVardef@7a87f7org.highwire.dtl.DTLVardef@746e80_HPS_FORMAT_FIGEXP M_FIG C_FIG

bioengineering↗

bioRxiv2026

Laboratory yeast crosses reveal limited epistasis in the genetic basis of complex traits

Mapping the genetic basis of complex traits is complicated by the presence of epistatic interactions between loci. While work in molecular genetics identifies numerous specific genetic interactions, statistical analyses of quantitative traits frequently conclude that additive (nonepistatic) models explain most heritable variation. However, these conclusions are typically limited by the narrow range of genetic relatedness(e.g. in F1 offspring of a biparental or circular cross). Here, we use a barcoded panel of Saccharomyces cerevisiae genotypes with a broad range of relatedness to quantify the effects of epistasis on the genetic architecture of seven complex traits. We find limited contributions of epistasis to the genetic basis of these traits. These results indicate that epistasis beyond that detected in standard yeast crosses may exist, yet it contributes little to phenotypic variance in these systems.

genetics↗

bioRxiv2026

Irrational groups: decoy placement, not group size, shapes collective shoal-size preference in adult zebrafish

Group living often improves decision accuracy in animals, yet whether increasing group size buffers against context-dependent biases remains unexplored. One such bias is the decoy effect, where the presence of a third option shifts preferences between two alternatives. Here, we tested whether introducing a decoy shoal influences collective preference for the larger female shoal in adult male zebrafish (Danio rerio), and whether the strength of this effect depends on group size. Groups of two, three, or four males were presented with female shoals under two choice contexts: a dichotomous contrast (four vs. two fish) and a trichotomous contrast including an additional alternative of one, three, or five fish. The order of presentation (dichotomous-first or trichotomous-first) was counterbalanced, and multi-animal tracking was used to quantify group-level shoal-size preference (time spent near shoals), inter-individual distance (IID), polarization, and swimming speed. In the dichotomous-first order, across all group sizes, subject shoals consistently showed a baseline preference for the larger shoal. Adding a third decoy option altered this preference only when the decoy was extreme (one or five fish relative to the 4 vs. 2 alternatives), reducing relative preference toward indifference. Group IIDs were associated with context-dependent shifts in relative preference in the dichotomous-first order, whereas polarization and swimming speed were not. In the trichotomous-first order, groups showed no preference for the larger shoal, with or without a decoy shoal. Our results demonstrate that context-dependent biases, shape collective shoal choice, with effects driven by choice structure and order of presentation of options than by group size.

animal behavior and cognition↗

bioRxiv2026

Ift43 Controls the Ciliary Levels of Gli2 and Gli3

Intraflagellar transport (IFT) drives the bidirectional movement of trains composed of IFT-A, IFT-B, and BBSome complexes that build and maintain cilia while supporting their signaling functions. Over evolution, IFT became integral to Hedgehog signaling by directing the dynamic movements of receptors and Gli transcription factors that fine-tune pathway output. The IFT-A complex contains six subunits, but the smallest, Ift43, remains poorly characterized and is absent from many ciliated species, suggesting specialized roles in signaling rather than core ciliogenesis. Here we show that loss of Ift43 in mice causes mid-gestation lethality with severe craniofacial defects, exencephaly, abdominal wall defects with exposed viscera, edema, and limb patterning defects. At the cellular level, Ift43 deficiency reduces both the number and length of cilia and blocks induction of Gli1 following pathway activation by the agonist SAG. Although Smoothened relocalizes to cilia normally, Ift43 mutants abnormally accumulate Gli2 and Gli3 at ciliary tips before stimulation and continue to generate repressor forms after activation. Conversely, Ift43 overexpression increases basal Gli2 cleavage, revealing an unanticipated role for Ift43 in regulating Gli processing. Together, these findings identify Ift43 as a key IFT-A component that links ciliary assembly to Hedgehog signal transduction and helps set the balance between Gli activator and repressor forms.

cell biology↗

bioRxiv2025

Redefining the topology of the human bone marrow using augmented spatial transcriptomic analysis

The bone marrow (BM) is the main site of haematopoiesis in adult life. Our understanding of the pathogenesis of BM-derived blood cancers is limited by lack of spatial contextualisation. While emerging spatial transcriptomic (ST) platforms offer unprecedented opportunities for spatially-resolved cellular phenotyping, we recognise and incorporate the power of AI-based tissue feature detection to enhance ST workflows. We perform ST analysis to define the topology of the normal bone marrow (BM) and BM in myeloproliferative neoplasms (MPNs), profiling 5,104,452 cells across 30 human BM samples. Following rigorous histology-based QC, we identify spatially-restricted trajectories of haematopoiesis and extend our understanding of the haematopoietic stem cell (HSC) niche. We find that BM fibrosis in MPN is associated with expansion of distinct immune and stromal co-enriched cell neighbourhoods. We then present a machine learning (ML)-based model trained on ST data that quantifies BM microenvironmental deviation, identifying heretofore unrecognised inter- and intra-individual sample heterogeneity in MPN. Our study demonstrates the potential for AI-based augmented ST analysis, and redefines our understanding of human BM topology.

cancer biology↗

bioRxiv2025

Impact of fluctuating environments on the fitness and robustness of evolving laboratory and industrial Saccharomyces cerevisiae strains

Adaptation occurs through the selection of beneficial mutations enhancing fitness in a specific environment. However, since environments vary across time and space, mutations that are positively selected in one environment may be less beneficial or detrimental in others. Here, we investigate the evolution of microbial robustness (i.e. a consistent fitness across many diverse environments) through the adaptive evolution of two genetically distinct Saccharomyces cerevisiae populations in fluctuating conditions, followed by fitness assays and whole-genome sequencing. Our results indicate that the haploid laboratory strain S288C achieved higher average fitness than its parental strain, particularly when evolved in fluctuating environments compared to constant environments, but did not show increased robustness. In contrast, populations of the industrial diploid strain Ethanol Red failed to achieve significant fitness improvement under both fluctuating and constant evolution regimes but became more robust. Populations that adapted to fluctuating conditions acquired mutations in genes involved with cell morphology and protein degradation. Overall, our results emphasise the importance of parental traits in shaping fitness and robustness during adaptive laboratory evolution.

evolutionary biology↗

bioRxiv2025

Homotypic endoplasmic reticulum membrane tethering is critical for flavivirus replication

Flaviviruses (genus Orthoflavivirus) are arthropod-borne viruses which cause approximately 400 million annual global infections in humans. Flavivirus infection requires cellular machinery to facilitate replication and spread. All known flaviviruses replicate in association with the host endoplasmic reticulum (ER), where genome replication is confined within virus-induced ER invaginations called viral replication organelles (vROs). Despite the central role of these structures during flavivirus infection, the mechanisms underlying vRO biogenesis remain undefined - particularly the membrane rearrangements required for their formation. In this work, we report a conserved role for a cellular ER remodeling protein, atlastin-2 (ATL2), in the organization of vROs within infected cells. Using confocal and electron microscopy, we show that ATL2 depletion leads to a reduction in vRO spatial distribution in flavivirus-infected cells. Changes in vRO distribution corresponded with a decrease in virus production and robust induction of innate immune responses. We also demonstrate that ATL2 accumulates in areas of vRO formation during flavivirus infection. Critically, mutational analysis showed that a tethering-competent but fusion-defective ATL2 mutant was sufficient to rescue DENV and ZIKV replication in ATL2-knockout cells. Finally, inhibition of ATL2 activity using synthetic peptides significantly reduced DENV replication in both immortalized and human primary cells, suggesting a possible avenue for targeting host ER functions to limit flavivirus replication. Taken together, these results show that membrane tethering plays a critical and conserved role in flavivirus infection, functioning to organize membranes for vRO biogenesis and limit cellular immune activation. Importantly, we provide evidence that ATL2-mediated membrane organization can be targeted to inhibit viral replication.

microbiology↗