Development and characterization of monoclonal antibodies against p37 protein of African swine fever virus.

African Swine Fever Virus (ASFV) is a highly contagious pathogen posing a serious threat to the global swine industry. Despite this, there is currently no effective vaccine against this virus. Within ASFV's core shell structure, p37, a product of polyprotein pp220, shares sequence similarity with SUMO-1 proteases. Localization studies show p37 in various nuclear regions during early infection, shifting to the cytoplasm later on. Research indicates active export of p37 from the nucleus, mediated by CRM1-dependent and -independent pathways. Hydrophobic amino acids in p37 are crucial for these pathways, highlighting their importance throughout the ASFV replication cycle. Additionally, p37 serves as the first nucleocytoplasmic shuttle protein encoded by ASFV, participating in the intranuclear material transport process during ASFV infection of host cells. In this study, we successfully screened five murine monoclonal antibodies targeting p37. Through the truncated expression method, we identified four dominant antigenic epitopes of p37 for the first time. Furthermore, utilizing alanine scanning technology, we determined the key amino acid residues for each epitope. This research not only provides essential information for a deeper understanding of the protein's function but also establishes a significant theoretical foundation for the design and development of ASFV vaccines.

IFI16 Positively Regulates RIG-I-Mediated Type I Interferon Production in a STING-Independent Manner.

Previous studies have shown that interferon gene-stimulating protein (STING) is essential for IFN-γ-inducible protein 16 (IFI16) as the DNA sensor and RNA sensor to induce transcription of type I interferon (IFN-I) and is essential for IFI16 to synergize with DNA sensor GMP-AMP (cGAMP) synthase (cGAS) in induction of IFN-I transcription. While other and our previous studies have shown that IFI16 enhanced retinoic acid-inducible gene I (RIG-I)-, which was an RNA sensor, and mitochondrial antiviral signaling (MAVS)-, which was the adaptor protein of RIG-I, induced production of IFN-I, so we wonder whether IFI16 regulates the signal pathway of RNA-RIG-I-MAVS-IFN-I in a STING-dependent manner. We used HEK 293T cells, which did not express endogenous STING and were unable to mount an innate immune response upon DNA transfection and found that IFI16 could enhance RIG-I- and MAVS-mediated induction of IFN-I in a STING-independent way. Furthermore, we found that upregulation of the expression of NF-kappa-B essential modulator (NEMO) by IFI16 was not the mechanism that IFI16 regulated the induction of IFN-I. In conclusion, we found that IFI16 regulated the signal pathway of RNA-RIG-I-MAVS-IFN-I in a STING-independent manner.

Porcine reproductive and respiratory syndrome virus triggers Golgi apparatus fragmentation-mediated autophagy to facilitate viral self-replication.

Macroautophagy/autophagy is a cellular degradation and recycling process that maintains the homeostasis of organisms. A growing number of studies have reported that autophagy participates in infection by a variety of viruses. Porcine reproductive and respiratory syndrome virus (PRRSV) causes severe financial losses to the global swine industry. Although much research has shown that PRRSV triggers autophagy for its own benefits, the exact molecular mechanisms involved in PRRSV-triggered autophagy remain to be fully elucidated. In the current study, we demonstrated that PRRSV infection significantly induced Golgi apparatus (GA) fragmentation, which promoted autophagy to facilitate viral self-replication. Mechanistically, PRRSV nonstructural protein 2 was identified to interact with and degrade the Golgi reassembly and stacking protein 65 dependent on its papain-like cysteine protease 2 activity, resulting in GA fragmentation. Upon GA fragmentation, GA-resident Ras-like protein in brain 2 was disassociated from Golgi matrix protein 130 and subsequently bound to unc-51 like autophagy activating kinase 1 (ULK1), which enhanced phosphorylation of ULK1 and promoted autophagy. Taken together, all these results expand the knowledge of PRRSV-triggered autophagy as well as PRRSV pathogenesis to support novel potential avenues for prevention and control of the virus. More importantly, these results provide the detailed mechanism of GA fragmentation-mediated autophagy, deepening the understanding of autophagic processes.IMPORTANCEPorcine reproductive and respiratory syndrome virus (PRRSV) infection results in a serious swine disease affecting pig farming worldwide. Despite that numerous studies have shown that PRRSV triggers autophagy for its self-replication, how PRRSV induces autophagy is incompletely understood. Here, we identify that PRRSV Nsp2 degrades GRASP65 to induce GA fragmentation, which dissociates RAB2 from GM130 and activates RAB2-ULK1-mediated autophagy to enhance viral replication. This work expands our understanding of PRRSV-induced autophagy and PRRSV replication, which is beneficial for anti-viral drug development.

Screening and identification of B cell epitope within the major capsid protein L1 of HPV 52, using monoclonal antibodies.

The L1 protein of Human papillomavirus (HPV), the main capsid protein, induces the formation of neutralizing antibodies. In this study, HPV52 L1 protein was induced to be expressed. Monoclonal antibody (mAb) 6A7 against L1 protein were screened by cell fusion techniques. Western Blot and immunofluorescence assay (IFA) demonstrated the specificity of the mAb. The L1 protein was truncated for prokaryotic expression (N1∼N7) and Dot-ELISA showed that 6A7 recognized N3 (aa 200-350). The immunodominant regions were truncated again for expression, with 6A7 recognizing N6 (aa 251-305). The N6 proteins were further truncated and then were constructed an four-segment eukaryotic expression vector. IFA showed that 6A7 could recognize amino acid 262-279. Amino acid 262-279 was selected to be truncated into short peptides P1 and P2. Finally, Peptide-ELISA and Dot-ELISA showed that the epitope regions of mAb 6A7 were amino acid 262-273. The mAbs with defined epitopes can lay the foundation for the analysis of antigenic epitope characteristics and promote the development of epitope peptide vaccines.

Development of a unique sandwich enzyme-linked immunosorbent assay based on monoclonal antibodies for the specific detection of the egg drop syndrome virus.

RESEARCH HIGHLIGHTS: A sandwich ELISA was developed to detect EDSV using the mAbs 5G4 and HRP-6G6.The sandwich ELISA maintained high specificity and sensitivity.The sandwich ELISA had equivalent consistency with real-time PCR assay.

Light-Assisted "Nano-Neutrophils" with High Drug Loading for Targeted Cancer Therapy.

Background: Nanomedicine presents a promising alternative for cancer treatment owing to its outstanding features. However, the therapeutic outcome is still severely compromised by low tumor targeting, loading efficiency, and non-specific drug release. Methods: Light-assisted "nano-neutrophils (NMPC-NPs)", featuring high drug loading, self-amplified tumor targeting, and light-triggered specific drug release, were developed. NMPC-NPs were composed of neutrophil membrane-camouflaged PLGA nanoparticles (NPs) loaded with a hypoxia-responsive, quinone-modified PTX dimeric prodrug (hQ-PTX2) and photosensitizer (Ce6). Results: hQ-PTX2 significantly enhanced the drug loading of NPs by preventing intermolecular π-π interactions, and neutrophil membrane coating imparted the biological characteristics of neutrophils to NMPC-NPs, thus improving the stability and inflammation-targeting ability of NMPC-NPs. Under light irradiation, extensive NMPC-NPs were recruited to tumor sites based on photodynamic therapy (PDT)-amplified intratumoral inflammatory signals for targeted drug delivery to inflammatory tumors. Besides, PDT could effectively eliminate tumor cells via reactive oxygen species (ROS) generation, while the PDT-aggravated hypoxic environment accelerated hQ-PTX2 degradation to realize the specific release of PTX, thus synergistically combining chemotherapy and PDT to suppress tumor growth and metastasis with minimal adverse effects. Conclusion: This nanoplatform provides a prospective and effective avenue toward enhanced tumor-targeted delivery and synergistic cancer therapy.

LORF9 of Marek's disease virus is involved in the early cytolytic replication of B lymphocytes and can act as a target for gene deletion vaccine development.

IMPORTANCE: Marek's disease virus (MDV) is a highly infectious and oncogenic virus that can induce severe T cell lymphomas in chickens. MDV encodes more than 100 genes, most of which have unknown functions. This work indicated that the LORF9 gene is necessary for MDV early cytolytic replication in B lymphocytes. In addition, we have found that the LORF9 deletion mutant has a comparative immunological protective effect with CVI988/Rispens vaccine strain against very virulent MDV challenge. This is a significant discovery that LORF9 can be exploited as a possible target for the development of an MDV gene deletion vaccine.

The combined anticancer of peanut skin procyanidins and resveratrol to CACO-2 colorectal cancer cells.

Colorectal cancer is one of the leading causes of cancer deaths worldwide. Currently, chemotherapy is the primary way for colorectal cancer, but with severe side effects. Therefore, it is urgent to find safer and more effective adjuvant treatment methods. At present, natural active substances are promising alternatives, as numerous studies have demonstrated possible synergistic anticancer effects in plant-active polyphenols. In the present study, the combined effect of procyanidins (PC) (from peanut skin) and resveratrol (RES) (from peanut buds) on the synergistic anticancer potential was investigated. CACO-2 and HCT-8 cells were served as colorectal cancer models, and HEPG-2 and HUH-7 cells were served as liver cancer models to observe the effects of PC and RES alone or in combination on the growth and proliferation of these four types of cancer cells. The results revealed that both PC and RES could inhibit the cells' proliferation in a manner with concentration-dependent, but they exerted synergistic anticancer effects only on CACO-2 cells. PC and RES could synergistically inhibit CACO-2 cell clone formation, inducing apoptosis of CACO-2 cells and blocking their cell cycle in G0/G1 phase. Additionally, as observed by the results of Western blot assay, the combined effect of PC and RES also inhibited the phosphorylation of Thr308, Ser473, and ERK and promoted the phosphorylation of IKBα and NF-κB in CACO-2 cells. These findings collectively indicate that PC combined with RES might exert synergistic anticancer effects by regulating AKT, ERK, and NF-κB signaling pathways.

Use of tree-based machine learning methods to screen affinitive peptides based on docking data.

Screening peptides with good affinity is an important step in peptide-drug discovery. Recent advancement in computer and data science have made machine learning a useful tool in accurately affinitive-peptide screening. In current study, four different tree-based algorithms, including Classification and regression trees (CART), C5.0 decision tree (C50), Bagged CART (BAG) and Random Forest (RF), were employed to explore the relationship between experimental peptide affinities and virtual docking data, and the performance of each model was also compared in parallel. All four algorithms showed better performances on dataset pre-scaled, -centered and -PCA than other pre-processed dataset. After model re-built and hyperparameter optimization, the optimal C50 model (C50O) showed the best performances in terms of Accuracy, Kappa, Sensitivity, Specificity, F1, MCC and AUC when validated on test data and an unknown PEDV datasets evaluation (Accuracy=80.4 %). BAG and RFO (the optimal RF), as two best models during training process, did not performed as expecting during in testing and unknown dataset validations. Furthermore, the high correlation of the predictions of RFO and BAG to C50O implied the high stability and robustness of their prediction. Whereas although the good performance on unknown dataset, the poor performance in test data validation and correlation analysis indicated CARTO could not be used for future data prediction. To accurately evaluate the peptide affinity, the current study firstly gave a tree-model competition on affinitive peptide prediction by using virtual docking data, which would expand the application of machine learning algorithms in studying PepPIs and benefit the development of peptide therapeutics.

Rice-produced classical swine fever virus glycoprotein E2 with herringbone-dimer design to enhance immune responses.

Pestiviruses, including classical swine fever virus, remain a concern for global animal health and are responsible for major economic losses of livestock worldwide. Despite high levels of vaccination, currently available commercial vaccines are limited by safety concerns, moderate efficacy, and required high doses. The development of new vaccines is therefore essential. Vaccine efforts should focus on optimizing antigen presentation to enhance immune responses. Here, we describe a simple herringbone-dimer strategy for efficient vaccine design, using the classical swine fever virus E2 expressed in a rice endosperm as an example. The expression of rE2 protein was identified, with the rE2 antigen accumulating to 480 mg/kg. Immunological assays in mice, rabbits, and pigs showed high antigenicity of rE2. Two immunizations with 284 ng of the rE2 vaccine or one shot with 5.12 µg provided effective protection in pigs without interference from pre-existing antibodies. Crystal structure and small-angle X-ray scattering results confirmed the stable herringbone dimeric conformation, which had two fully exposed duplex receptor binding domains. Our results demonstrated that rice endosperm is a promising platform for precise vaccine design, and this strategy can be universally applied to other Flaviviridae virus vaccines.

Soluble Expression of Antimicrobial Peptide BSN-37 from Escherichia coli by SUMO Fusion Technology.

Antimicrobial peptides (AMPs) are a kind of small molecular peptide that an organism produces to resist the invasion of foreign microorganisms. AMP BSN-37 is a bovine AMP that exhibits high antibacterial activity. In this paper, the optimized gene AMP BSN-37 was cloned into pCold-SUMO for fusion expression by recombinant DNA technology. The gene sequence of AMP BSN-37 was obtained by codons reverse translation, and the codons were optimized according to the codons preference of Escherichia coli (E. coli). The recombinant plasmid was constructed and identified by PCR, enzyme digestion and sequencing. Then the recombinant plasmid was transformed into BL21 E. coli to induce expression, and the IPTG concentration and time were optimized. The expressed soluble fusion protein SUMO-BSN-37 was purified by chromatography and then cleaved by SUMO proteases to release BSN-37. SDS-PAGE electrophoresis and Western blotting were used for identification. The recombinant plasmid pCold-SUMO-BSN-37 was obtained, and the fusion AMP BSN-37 was preliminarily expressed in BL21. After optimization, the optimal expression condition was 37 ℃ with 0.4 µM IPTG and 6 h incubation. Under optimal conditions, a large amount of fusion AMP BSN-37 was obtained by purification. Western blotting showed that the fusion peptide was successfully expressed and had good activity. The expressed BSN-37 showed antimicrobial activity similar to that of synthesized BSN-37. In this study, soluble expression products of AMP BSN-37 were obtained, and the problem regarding the limited source of AMP BSN-37 could be effectively solved, laying a foundation for further research on AMP BSN-37.

A Random Forest Model for Peptide Classification Based on Virtual Docking Data.

The affinity of peptides is a crucial factor in studying peptide-protein interactions. Despite the development of various techniques to evaluate peptide-receptor affinity, the results may not always reflect the actual affinity of the peptides accurately. The current study provides a free tool to assess the actual peptide affinity based on virtual docking data. This study employed a dataset that combined actual peptide affinity information (active and inactive) and virtual peptide-receptor docking data, and different machine learning algorithms were utilized. Compared with the other algorithms, the random forest (RF) algorithm showed the best performance and was used in building three RF models using different numbers of significant features (four, three, and two). Further analysis revealed that the four-feature RF model achieved the highest Accuracy of 0.714 in classifying an independent unknown peptide dataset designed with the PEDV spike protein, and it also revealed overfitting problems in the other models. This four-feature RF model was used to evaluate peptide affinity by constructing the relationship between the actual affinity and the virtual docking scores of peptides to their receptors.

Multi-Site Attack, Neutrophil Membrane-Camouflaged Nanomedicine with High Drug Loading for Enhanced Cancer Therapy and Metastasis Inhibition.

Background: Advanced breast cancer is a highly metastatic tumor with high mortality. Simultaneous elimination of primary tumor and inhibition of neutrophil-circulation tumor cells (CTCs) cluster formation are urgent issues for cancer therapy. Unfortunately, the drug delivery efficiency to tumors and anti-metastasis efficacy of nanomedicine are far from satisfactory. Methods: To address these problems, we designed a multi-site attack, neutrophil membrane-camouflaged nanoplatform encapsulating hypoxia-responsive dimeric prodrug hQ-MMAE2 (hQNM-PLGA) for enhanced cancer and anti-metastasis therapy. Results: Encouraged by the natural tendency of neutrophils to inflammatory tumor sites, hQNM-PLGA nanoparticles (NPs) could target delivery of drug to tumor, and the acute hypoxic environment of advanced 4T1 breast tumor promoted hQ-MMAE2 degradation to release MMAE, thus eliminating the primary tumor cells to achieve remarkable anticancer efficacy. Alternatively, NM-PLGA NPs inherited the similar adhesion proteins of neutrophils so that NPs could compete with neutrophils to interrupt the formation of neutrophil-CTC clusters, leading to a reduction in extravasation of CTCs and inhibition of tumor metastasis. The in vivo results further revealed that hQNM-PLGA NPs possessed a perfect safety and ability to inhibit tumor growth and spontaneous lung metastasis. Conclusion: This study demonstrates the multi-site attack strategy provides a prospective avenue with the potential to improve anticancer and anti-metastasis therapeutic efficacy.

Efficient Cross-Screening and Characterization of Monoclonal Antibodies against Marek's Disease Specific Meq Oncoprotein Using CRISPR/Cas9-Gene-Edited Viruses.

Marek's disease (MD) caused by pathogenic Marek's disease virus type 1 (MDV-1) is one of the most important neoplastic diseases of poultry. MDV-1-encoded unique Meq protein is the major oncoprotein and the availability of Meq-specific monoclonal antibodies (mAbs) is crucial for revealing MDV pathogenesis/oncogenesis. Using synthesized polypeptides from conserved hydrophilic regions of the Meq protein as immunogens, together with hybridoma technology and primary screening by cross immunofluorescence assay (IFA) on Meq-deleted MDV-1 viruses generated by CRISPR/Cas9-gene editing, a total of five positive hybridomas were generated. Four of these hybridomas, namely 2A9, 5A7, 7F9 and 8G11, were further confirmed to secrete specific antibodies against Meq as confirmed by the IFA staining of 293T cells overexpressing Meq. Confocal microscopic analysis of cells stained with these antibodies confirmed the nuclear localization of Meq in MDV-infected CEF cells and MDV-transformed MSB-1 cells. Furthermore, two mAb hybridoma clones, 2A9-B12 and 8G11-B2 derived from 2A9 and 8G11, respectively, displayed high specificity for Meq proteins of MDV-1 strains with diverse virulence. Our data presented here, using synthesized polypeptide immunization combined with cross IFA staining on CRISPR/Cas9 gene-edited viruses, has provided a new efficient approach for future generation of specific mAbs against viral proteins.

Design and Identification of a Novel Antiviral Affinity Peptide against Fowl Adenovirus Serotype 4 (FAdV-4) by Targeting Fiber2 Protein.

Outbreaks of hydropericardium hepatitis syndrome caused by fowl adenovirus serotype 4 (FAdV-4) with a novel genotype have been reported in China since 2015, with significant economic losses to the poultry industry. Fiber2 is one of the important structural proteins on FAdV-4 virions. In this study, the C-terminal knob domain of the FAdV-4 Fiber2 protein was expressed and purified, and its trimer structure (PDB ID: 7W83) was determined for the first time. A series of affinity peptides targeting the knob domain of the Fiber2 protein were designed and synthesized on the basis of the crystal structure using computer virtual screening technology. A total of eight peptides were screened using an immunoperoxidase monolayer assay and RT-qPCR, and they exhibited strong binding affinities to the knob domain of the FAdV-4 Fiber2 protein in a surface plasmon resonance assay. Treatment with peptide number 15 (P15; WWHEKE) at different concentrations (10, 25, and 50 µM) significantly reduced the expression level of the Fiber2 protein and the viral titer during FAdV-4 infection. P15 was found to be an optimal peptide with antiviral activity against FAdV-4 in vitro with no cytotoxic effect on LMH cells up to 200 µM. This study led to the identification of a class of affinity peptides designed using computer virtual screening technology that targeted the knob domain of the FAdV-4 Fiber2 protein and may be developed as a novel potential and effective antiviral strategy in the prevention and control of FAdV-4.

Development and Evaluation of a Blocking Lateral Flow Assay Strip for Detection of Newcastle Disease Virus Antibodies.

Newcastle disease (ND) is an acute septicemic infectious disease caused by Newcastle disease virus (NDV). Considering that vaccination is currently the main modality for the prevention of ND, it is essential to assess the effectiveness of clinical immunization. In this study, we have developed a blocking lateral flow assay (bLFA) strip for the rapid detection of NDV antibodies using the monoclonal antibody 9C1 against haemagglutinin-neuraminidase (HN), which allows for the determination of an NDV-specific antibody titer within 10 min at room temperature. In addition, the bLFA strip has no cross-reactivity with the positive serum of other avian pathogens including avian influenza subtypes H5, H7, and H9, MD, IBD, IB, EDS, and avian adenovirus. The ability of the bLFA strip for detecting a neutralizing antibody was also estimated. The results showed that the chicken NDV hyperimmunized serum had a complete blocking (100%) titer of 11 log 2, and half-blocking titer of 13 log 2, which are 4 times less than and the same as that of the HI test (13 log 2), and 8 and 2 times less than that of the VN test (14 log 2), respectively. A total of 510 clinical samples were tested for NDV antibodies. The coincidence rate between the results of the bLFA strip and HI test was 97.65%. Therefore, it is an ideal alternative method for assessing the clinical immunity of ND vaccines in the field in real-time.

Virtual Screening-Based Peptides Targeting Spike Protein to Inhibit Porcine Epidemic Diarrhea Virus (PEDV) Infection.

Due to the rapid mutation of porcine epidemic diarrhea virus (PEDV), existing vaccines cannot provide sufficient immune protection for pigs. Therefore, it is urgent to design the affinity peptides for the prevention and control of this disease. In this study, we made use of a molecular docking technology for virtual screening of affinity peptides that specifically recognized the PEDV S1 C-terminal domain (CTD) protein for the first time. Experimentally, the affinity, cross-reactivity and sensitivity of the peptides were identified by an enzyme-linked immunosorbent assay (ELISA) and a surface plasmon resonance (SPR) test, separately. Subsequently, Cell Counting Kit-8 (CCK-8), quantitative real-time PCR (qRT-PCR), Western blot and indirect immunofluorescence were used to further study the antiviral effect of different concentrations of peptide 110766 in PEDV. Our results showed that the P/N value of peptide 110766 at 450 nm reached 167, with a KD value of 216 nM. The cytotoxic test indicated that peptide 110766 was not toxic to vero cells. Results of the absolute quantitative PCR revealed that different concentrations (3.125 µM, 6.25 µM, 12.5 µM, 25 µM, 50 µM, 100 µM, 200 µM) of peptide 110766 could significantly reduce the viral load of PEDV compared with the virus group (p < 0.0001). Similarly, results of Western blot and indirect immunofluorescence also suggested that the antiviral effect of peptide 110766 at 3.125 is still significant. Based on the above research, high-affinity peptide 110766 binding to the PEDV S1-CTD protein was attained by a molecular docking technology. Therefore, designing, screening, and identifying affinity peptides can provide a new method for the development of antiviral drugs for PEDV.

Critical roles of non-coding RNAs in lifecycle and biology of Marek's disease herpesvirus.

Over the past two decades, numerous non-coding RNAs (ncRNAs) have been identified in different biological systems including virology, especially in large DNA viruses such as herpesviruses. As a representative oncogenic alphaherpesvirus, Marek's disease virus (MDV) causes an important immunosuppressive and rapid-onset neoplastic disease of poultry, namely Marek's disease (MD). Vaccinations can efficiently prevent the onset of MD lymphomas and other clinical disease, often heralded as the first successful example of vaccination-based control of cancer. MDV infection is also an excellent model for research into virally-induced tumorigenesis. Recently, great progress has been made in understanding the functions of ncRNAs in MD biology. Herein, we give a review of the discovery and identification of MDV-encoded viral miRNAs, focusing on the genomics, expression profiles, and emerging critical roles of MDV-1 miRNAs as oncogenic miRNAs (oncomiRs) or tumor suppressor genes involved in the induction of MD lymphomas. We also described the involvements of host cellular miRNAs, lincRNAs, and circRNAs participating in MDV life cycle, pathogenesis, and/or tumorigenesis. The prospects, strategies, and new techniques such as the CRISPR/Cas9-based gene editing applicable for further investigation into the ncRNA-mediated regulatory mechanisms in MDV pathogenesis/oncogenesis were also discussed, together with the possibilities of future studies on antiviral therapy and the development of new efficient MD vaccines.

Infection phase-dependent dynamics of the viral and host N6-methyladenosine epitranscriptome in the lifecycle of an oncogenic virus in vivo.

Dynamic alteration of the epitranscriptome exerts regulatory effects on the lifecycle of oncogenic viruses in vitro. However, little is known about these effects in vivo because of the general lack of suitable animal infection models of these viruses. Using a model of rapid-onset Marek's disease lymphoma in chickens, we investigated changes in viral and host messenger RNA (mRNA) N6-methyladenosine (m6 A) modification during Marek's disease virus (MDV) infection in vivo. We found that the expression of major epitranscriptomic proteins varies among viral infection phases, reprogramming both the viral and the host epitranscriptomes. Specifically, the methyltransferase-like 3 (METTL3)/14 complex was suppressed during the lytic and reactivation phases of the MDV lifecycle, whereas its expression was increased during the latent phase and in MDV-induced tumors. METTL3/14 overexpression inhibits, whereas METTL3/14 knockdown enhances, MDV gene expression and replication. These findings reveal the dynamic features of the mRNA m6 A modification program during viral replication in vivo, especially in relation to key pathways involved in tumorigenesis.