bioRxiv Science⌕ Search

bioRxiv · 10.64898/2026.04.06.716636

cDNA-guided functional selection uncovers selective defense systems against RNA phages

Abstract

Bacteria encode diverse antiphage defense systems, yet mechanisms that target RNA phages remain comparatively underexplored. Here, we used a cDNA-based functional selection strategy to systematically identify genes that confer resistance to RNA phage infection independently of receptor variation in Pseudomonas aeruginosa. This approach uncovered previously uncharacterized antiphage defense systems, most of which are located within genomic islands, consistent with their being bona fide components of bacterial immune systems. Several systems conferred selective resistance to RNA phages and their carriage was associated with pilin variability, suggesting layered anti-phage immunity. Among these systems, Zws is the most prevalent RNA phage defense system and functions as a multidomain effector. Structural modeling and in vitro cleavage assays showed that ZwsA is an RNA endonuclease that selectively cleaves RNA phage genomes through a predicted NERD domain. Together, these findings expand the current framework of bacterial antiphage immunity and highlight the power of functional genomics to uncover cryptic components of the bacterial antiviral arsenal. IMPORTANCEBacteria harbor a broad repertoire of antiphage defense systems, but our understanding of mechanisms that target RNA phages remains limited, being heavily biased toward defenses against DNA phages. By applying a cDNA-based functional selection strategy, this study overcomes a major obstacle in defense-gene discovery and uncovers previously uncharacterized genes that represent bona fide components of the bacterial immune arsenal against RNA phages. The identification and characterization of Zowangsin (ZwsA), a NERD-domain RNA endonuclease that selectively cleaves specific signatures within RNA phage genomes, establish targeted RNA degradation as a central principle of bacterial defense against RNA phages. More broadly, this work expands the conceptual framework of bacterial antiviral immunity and illustrates the utility of functional selection for uncovering cryptic immune systems with implications for phage biology, RNA biology, and biotechnology. HIGHLIGTHSO_LIcDNA-based functional screen identifies six defense systems that restrict RNA phages C_LIO_LIThese defense systems are enriched within genomic islands of Pseudomonas aeruginosa C_LIO_LIZws, Szs, and Mws systems confer selective defense against RNA phages C_LIO_LIZwsA is a signature-selective RNA endonuclease that targets phage genomic RNA C_LI

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Bae, H.-W., Ki, H.-J., Choi, S.-Y., Cho, H.-G., Woo, C.-H., Kim, M.-J., Chun, H.-J., Cho, Y.-H.. 2026-04-07. cDNA-guided functional selection uncovers selective defense systems against RNA phages. https://doi.org/10.64898/2026.04.06.716636

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↗