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PRMT3 restricts porcine epidemic diarrhea virus replication by disrupting the interaction between VAPA and the viral nucleocapsid protein.

Porcine epidemic diarrhea virus (PEDV) represents a severe threat to the global swine industry. Its infection process involves intricate virus-host interactions and immune evasion mechanisms, but effective therapeutic targets remain elusive. In this study, we identified protein arginine methyltransferase 3 (PRMT3) as a novel regulatory factor that significantly modulates PEDV infection via genome-wide CRISPR/Cas9 knockout library screening. Knockout or inhibition of PRMT3 markedly enhanced PEDV infection in multiple cell lines, including LLC-PK1, IPEC-J2, and primary porcine intestinal epithelial cells. Mechanistic investigations revealed that PRMT3 can restrict PEDV infection by interacting with vesicle-associated membrane protein-associated protein A (VAPA). Further analysis revealed that VAPA facilitates cholesterol transport through binding to oxysterol-binding protein (OSBP) and inhibits the autophagic degradation of the viral nucleocapsid (N) protein, with both processes being critical for promoting PEDV infection in host cells. A detailed analysis revealed that K52 within its major sperm protein (MSP) domain interacts with D404 and D405 in the two phenylalanines in an acidic tract (FFAT)-like motifs of the N protein, and these interactions proved essential for PEDV infection. In summary, this is the first study to identify and validate the PRMT3-VAPA-N protein autophagic degradation axis as a key pathway through which PRMT3 suppresses PEDV infection, with VAPA acting as an essential host factor for PEDV pathogenesis. These findings uncover novel signaling pathways and molecular targets for the development of anti-PEDV therapeutics.

Animals

Quantum computing-assisted validation of a conserved macrophage suppression module shared by ASFV and PEDV.

BACKGROUND: African swine fever virus (ASFV) and porcine epidemic diarrhea virus (PEDV) differ in viral biology and cellular tropism, yet both pathogens suppress macrophage-mediated immune responses in pigs. OBJECTIVE: To identify a conserved macrophage suppression module shared by ASFV and PEDV and evaluate quantum computing as an independent framework for biological network validation. METHODS: Integrated analysis of publicly available GEO datasets (GSE231435 for ASFV and GSE306895) identified 471 shared downregulated genes. A network- and multi-omics-informed 20-gene core was selected and encoded as a 20-qubit modularity-based Quadratic Unconstrained Binary Optimization (QUBO) problem. Community detection was benchmarked using the Quantum Approximate Optimization Algorithm (QAOA) on both the IBM Quantum Aer simulator and the 156-qubit IBM Fez (Heron r2) quantum processor and compared with brute-force enumeration and simulated annealing. RESULTS: A conserved macrophage suppression module shared by ASFV and PEDV was identified. For the STRING protein-protein interaction network, QAOA at circuit depth p = 3 reproduced the brute-force optimum with an approximation ratio of 1.000. In contrast, performance progressively declined in the denser co-expression network with increasing circuit depth, consistent with noise accumulation under current Noisy Intermediate-Scale Quantum (NISQ) conditions. Multi-run consensus analysis identified stable hub genes, including MMP9 and SLA-DOA, as well as genes exhibiting variable community assignments. CONCLUSION: These findings reveal a conserved macrophage suppression module shared between ASFV and PEDV and demonstrate that quantum computing can serve as an independent validation framework for biologically meaningful host-response networks. Network topology emerged as a key determinant of QAOA performance on real NISQ hardware.

Animals

Molecular Epidemiology and Pathogenicity Evaluation of Porcine Teschovirus in Tibetan Pigs on the Qinghai-Tibet Plateau of China.

Porcine teschovirus (PTV) is the causative agent of porcine diarrhea and multisystem disorder and poses a global threat to the health of domestic pigs. However, its epidemic and pathogenic characteristics in Tibetan pigs, which are a unique indigenous breed in the Qinghai-Tibet Plateau of China, remain largely unexplored. Here, we conducted a comprehensive investigation during 2024-2025, in which 303 diarrheic fecal samples were collected from 21 farms across eight counties in Ganzi Tibetan Autonomous Prefecture, with an average altitude of 3433 m. RT-PCR testing identified 141 PTV-positive samples, yielding a high positivity rate of 46.5% (141/303). From these positives, 27 VP1 sequences were cloned and sequenced; phylogenetic analysis revealed that 16 strains belonged to Teschovirus A, three strains were divided into Teschovirus B, and three strains formed the interspecies recombinant genotypes (PTV-15/16). Interestingly, five novel strains were classified as undefined genotypes, indicating an extensive genetic diversity among PTV strains circulating in Tibetan pigs. Furthermore, a PTV strain, designated PTV-SCgz-01, was successfully isolated in PK-15 cells, with a near-complete genomic sequence of 7081 nucleotides. Phylogenetic analysis based on the polyprotein and the VP1 genes indicated that it belonged to genotype PTV-4, whereas recombination analysis revealed that PTV-SCgz-01 is a natural recombinant with parental strains derived from HNMY (PTV-4) and China/SWU-ZG2/2018 (PTV-6). Experimental infection of 17-day-old Tibetan piglets demonstrated that this isolate induces severe watery diarrhea. Notably, the virus also caused severe pulmonary hemorrhage and mild cerebral hyperemia with neuronal degeneration, and it had a high mortality rate (40%), suggesting that strain PTV-SCgz-01 has strong pathogenic potential for 17-day-old Tibetan piglets. Our findings provide a more comprehensive molecular epidemiology of PTVs in Tibetan pigs and underscore the need for viral surveillance and control in this unique pig population.

Animals