bioRxiv Science⌕ Search

bioRxiv · 10.64898/2026.03.05.709814

A Yeast Two-Hybrid Protein Domain Screening Approach for Ebola Virus-Human Protein Interactions Identifies PABPC1 as a Host Factor Required for Replication

Abstract

Ebola virus (EBOV) causes severe hemorrhagic fever and remains a global health threat despite advances in vaccines and antibody-based therapeutics. Viral replication and immune evasion depend on interactions between EBOV proteins and host factors, yet the full spectrum of these interactions is unknown. To systematically identify EBOV-human protein-protein interactions, we performed more than 200 yeast two-hybrid (Y2H) screens using full-length EBOV proteins and domain fragments as baits and cDNA libraries derived from human liver tissue, macrophages, and interferon-stimulated macrophages. This approach revealed 521 unique interactions supported by confidence scoring based on retest assays and library screen data. The interactome includes proteins involved in RNA metabolism, transcriptional regulation, and post-translational modification, with enrichment for RNA-binding proteins among partners of NP, VP30, and L. By employing multiple constructs for each EBOV gene, interaction interfaces could be localized to specific viral domains. This approach identified a likely MYND domain binding site in the intrinsically ordered region of NP. Similarly, overlapping cDNA fragments from Y2H screens revealed potential binding sites within human proteins, including putative VP30 binding sites on NUFIP2 and PABPC1 that lacked canonical PPPPxY motifs. PABPC1 interacted with VP30 in uninfected human cells and accumulated in inclusion bodies in infected cells that resembled respiratory syncytial virus inclusion body associated granules (IBAGs). Inhibiting PABPC1 expression reduced EBOV replication early in infection. These findings expand the EBOV-host interaction network, identify candidate regulators of viral RNA synthesis, and provide a resource for mechanistic studies and antiviral target discovery. ImportanceEbola virus (EBOV) remains a major global health threat due to its high mortality rate and limited treatment options. Viral replication and immune evasion depend on interactions between EBOV proteins and host factors, yet these interactions are incompletely understood. This study uses a large-scale yeast two-hybrid approach to systematically map EBOV-human protein-protein interactions, revealing hundreds of previously unreported partners and identifying cellular pathways that may be exploited by the virus. By integrating domain mapping, confidence scoring, and functional validation, we provide a resource that advances understanding of EBOV biology and may be used to discover candidates for antiviral development.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Connell, J., Sivanandam, V., Stubbs, S. H., Donahue, C., Heintz, V., La Rosa, B., Shtanko, O., Davey, R. A., LaCount, D. J.. 2026-03-05. A Yeast Two-Hybrid Protein Domain Screening Approach for Ebola Virus-Human Protein Interactions Identifies PABPC1 as a Host Factor Required for Replication. https://doi.org/10.64898/2026.03.05.709814

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

Reverse Transcription Loop-Mediated Isothermal Amplification Combined with Lateral Flow Assay (RT-LAMP-LFA) for Rapid Detection of the 2026 Bundibugyo Virus (BDBV) Outbreak Strain

Making accurate diagnosis is a critical first step in patient management and control for emerging and re-emerging disease outbreaks. Bundibugyo virus (BDBV) is a filovirus that causes Ebola disease, and the 2026 outbreak highlights the need for rapid diagnostic approaches that can be deployed in settings with limited laboratory infrastructure. Here, we developed a reverse transcription loop-mediated isothermal amplification-lateral flow assay (RT-LAMP-LFA) for rapid detection of the 2026 BDBV outbreak strain. LAMP primers were designed based on the genome sequence of the 2026 outbreak strain, and the conservation of the primer binding sites among all available 2026 outbreak genomes was confirmed in silico. LAMP primers were evaluated for analytical specificity and sensitivity using in vitro-transcribed RNA (ivtRNA) from BDBV and other filoviruses, as well as RNA derived from arboviruses and mammalian cells. Amplification products were detected using a Chromatography-Printed Array Strip (C-PAS) lateral flow platform. The newly designed primers specifically detected the presence of BDBV RNA without nonspecific amplification of the other viral or cellular RNA samples tested. Consistent amplification was observed down to 103 copies per reaction. In addition, BDBV viral RNA was successfully amplified, and the amplification products were detected using C-PAS, with the total workflow being completed within 25 min. These findings demonstrate the analytical specificity and sensitivity of the developed RT-LAMP-LFA assay and its compatibility with rapid visual lateral flow detection, supporting its potential application as a point-of-care approach for BDBV detection.

microbiology↗

Divergent methane production and microbial community responses to carbon enrichment in freshwater wetland sediments

Methane (CH4) accumulation in wetland sediments reflects interactions among organic matter, sediment chemistry, and microbial communities. We combined depth-resolved field characterization across four wetland habitats in northern Israel with complementary incubations to examine methane accumulation and responses to labile-carbon enrichment. Sediment cores were characterized using Rock-Eval analysis, porewater chemistry, oxygen profiling at three sites, and mcrA amplicon sequencing. High CH4 concentrations occurred under contrasting conditions: Ein Nimfit (EN) contained approximately 12% total organic carbon and reached 2.1 mM CH4, whereas Ein Afek site EA2 contained approximately 5% carbon and accumulated 0.7-1.7 mM CH4. Both showed sulfate depletion, but EN exhibited pronounced sulfide accumulation, whereas EA2 showed greater dissolved iron and nutrient enrichment. Their classified methanogenic assemblages also differed. EA1 remained methane poor despite increasing carbon content with depth, while EA3 combined low carbon content and CH4 accumulation with detectable methanogens and lower methanogenic diversity. In a 36-day bottle experiments using sediments from two of the four wetland habitats, sucrose-amended EA3 exhibited a transient maximum of 18.8 mmol collected CH4 kg-1 wet sediment during Days 22-29, whereas EN reached its highest collected amount during Days 29-36. Methane proportions increased before the large output increase in EA3 but remained comparatively stable and high in EN. Soluble chemical oxygen demand trajectories and microbial community changes also differed. These findings identify distinct biogeochemical settings supporting methane accumulation and demonstrate methanogenic potential in low-CH4 sediment, emphasizing the complementary information provided by field profiles, microbial characterization, and exploratory enrichment experiments.

microbiology↗

The absence of microbiome in germ-free mice exacerbates the pathogenicity of mouse-adapted SARS-CoV-2 MA10

Germ-free mice, which are devoid of microbiota, provide a powerful system to define the contribution of the microbiome to host responses during infection. Severe COVID-19 outcomes are associated with multiple comorbidities that are themselves characterized by microbiome dysbiosis; however, the causal role of the microbiota in SARS-CoV-2 pathogenesis remains poorly understood. Here, we use germ-free mouse models to evaluate the impact of the microbiome on disease severity following infection with mouse-adapted SARS-CoV-2 MA10. Comparison with conventionally housed mice revealed that the absence of the microbiome markedly exacerbates SARS-CoV-2-induced disease in both C57BL/6 and Swiss Webster backgrounds. Germ-free mice exhibited greater weight loss, impaired lung function, worsened pulmonary pathology, and pronounced alterations in circulating cytokine and chemokine profiles compared with conventional controls. These findings show that resident microbiota limit SARS-CoV-2 pathogenicity and establish germ-free COVID-19 models as a powerful platform to identify protective microbial taxa and microbiota-based interventions to reduce severe disease.

microbiology↗