Skip to main content

ORIGINAL RESEARCH article

Front. Microbiol., 28 February 2024
Sec. Virology

Porcine alveolar macrophages host proteins interacting with African swine fever virus p72

Zhijun Weng,Zhijun Weng1,2Xiaoyu Zheng,Xiaoyu Zheng1,3Yifan Liang,Yifan Liang1,3Xiongnan Chen,Xiongnan Chen1,3Qin Peng,Qin Peng1,3Guihong Zhang,,Guihong Zhang1,3,4Lang Gong,,
Lang Gong1,3,4*Zezhong Zheng,,
Zezhong Zheng1,2,3*
  • 1Guangdong Provincial Key Laboratory of Zoonosis Prevention and Control, College of Veterinary Medicine, South China Agricultural University, Guangzhou, China
  • 2National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangzhou, China
  • 3Key Laboratory of Animal Vaccine Development, Ministry of Agriculture and Rural Affairs, Guangzhou, China
  • 4Maoming Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Maoming, China

Introduction: African swine fever virus (ASFV) is a highly contagious virus that spreads rapidly and has a mortality rate of up to 100% in domestic pigs, leading to significant economic losses in the pig industry. The major capsid protein p72 of ASFV plays a critical role in viral invasion and immune evasion.

Methods: In this study, we used yeast two-hybrid screening to identify host proteins interacting with p72 in porcine alveolar macrophages (PAMs) and verified these proteins using confocal microscopy and immunoprecipitation techniques.

Results and Discussion: We validated 13 proteins that interact with p72, including CD63, B2M, YTHDF2, FTH1, SHFL, CDK5RAP3, VIM, PELO, TIMP2, PHYH, C1QC, CMAS, and ERCC1. Enrichment analysis and protein-protein interaction network analysis of these interacting proteins revealed their involvement in virus attachment, invasion, replication, assembly, and immune regulation. These findings provide new insights into the function of p72 and valuable information for future research on the interaction between ASFV and host proteins.

Highlights

• Immunoprecipitation and confocal validation identified 13 host proteins that interact with ASFV p72.

• Upregulation of YTHDF2 and PELO inhibited the expression of ASFV p72.

• GO and KEGG analysis revealed that the interacting proteins of ASFV p72 are associated with immunity.

1 Introduction

African swine fever virus (ASFV) is the only member of the ASFV genus in the family Asfarviridae. The disease caused by ASFV, known as African swine fever (ASF), is an acute, febrile, highly contagious disease of animals that can spread widely between domestic and wild pigs, resulting in high mortality rates in domestic pig (Wang N. et al., 2019). ASF was first reported in Kenya in 1921 and was introduced to China in 2018, rapidly causing large-scale outbreaks and epidemics that pose significant threats to the livestock industry (Zhou et al., 2018). At present, vaccines against African swine fever virus (ASFV), such as ASFV-G-ΔI177L/ΔLVR and BA71ΔCD2 deletion mutants, have made significant progress, but due to insufficient safety and cross-protection ability, they have not been widely used (Urbano and Ferreira, 2022). At the same time, safe, effective and economical drugs for the prevention or treatment of ASFV infection have not yet been discovered (Arabyan et al., 2019).

Under electron microscopy, extracellular ASFV particles exhibit an icosahedral structure with a diameter of approximately 260–300 nm (Zhou et al., 2018). It consists of an outer envelope, viral capsid, inner membrane, nucleocapsid, and viral DNA with 68 structural proteins (Salas and Andres, 2013). These proteins collectively participate in ASFV genome replication, transcription, DNA repair, assembly, and immune evasion processes. For example, EP165R encoding dUTPase is involved in the virus replication process; while CP530R encoding the multi-protein pp62 is crucial for the maturation and assembly of the viral particle core (Suarez et al., 2010; Liang et al., 2021). However, the functions of most ASFV proteins are currently unknown or only partially understood, making it difficult to elucidate the functions of the numerous proteins involved.

The p72 protein, encoded by the B646L gene located in the variable region, is a major component of the ASFV capsid and accounts for 33% of the total viral mass (Garcia-Escudero et al., 1998). The antigenic sites of p72 are located within a highly conserved region, indicating that it has considerable antigenic stability and plays a crucial role in virus attachment and internalization (Gomez-Puertas et al., 1996; Heimerman et al., 2018). Genomic differences at the C-terminus of p72 serve as a basis for strain typing, providing important evidence for epidemiological and genetic analyses of different branches of ASFV (Bastos et al., 2003). p72 also assists in the assembly of the multimeric proteins pp220 and pp62 into a zipper-like structure, ensuring the integrity and infectivity of the virus particles (Andres et al., 2002). Owing to its diversity and immunogenicity, p72 is one of the most important targets in the development of subunit antigen, DNA, and vector vaccines (Gaudreault and Richt, 2019). Currently, our understanding of p72 remains limited, and studying its interactions with host proteins can provide more comprehensive information about its functional properties.

Viral infection relies on the interactions between viral and host proteins. In this study, we investigated the role of ASFV protein p72 in viral replication. We utilized a yeast two-hybrid (Y2H) assay to screen for interacting proteins and subsequently validated these interactions using confocal microscopy and co-immunoprecipitation (co-IP) techniques. Furthermore, proteomic analyses of PAMs infected with ASFV were conducted, and the interacting proteins analyzed for protein–protein interaction (PPI) network construction as well as gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment. The findings of this study contribute to a better understanding of ASFV p72 and provide new hypothesis for ASFV prevention and control strategies.

2 Materials and methods

2.1 Cell lines and virus strains

Pam cells were obtained via bronchoalveolar lavage method (Carrascosa et al., 1982), WSL cells were provided by Dr. Han Jun, 3D4/21 and HEK-293 T cells were preserved in our laboratory and then cultured in RPMI 1640 and Dulbecco’s Modified Eagle Medium (Gibco, NY, USA) supplemented with 10% fetal bovine serum. The cells were incubated at 37°C in a 5% CO2 incubator. The ASFV strain GZ201801 (GenBank: MT496893.1) was isolated from Guangzhou, China and belongs to the p72 genotype II. All experiments involving live ASFV are conducted in the Level 3 Biosafety Laboratory of the College of Veterinary Medicine, South China Agricultural University.

2.2 Antibodies and reagents

Lipofectamine 2000 (11668500) was purchased from Thermo Fisher Scientific (Waltham, MA, USA). Protein A/G agarose beads (SC-2003) and normal mouse IgG beads (SC-2025) were purchased from Santa Cruz Biotechnology (CA, USA). Mouse anti-ASFV p72 monoclonal antibody (M100068) were purchased from Zoonogen (Beijing, China). Mouse anti-GFP (M20004) and mouse anti-HA (M20003) monoclonal antibodies were purchased from Abmart (Shanghai, China). Goat anti-mouse IgG (H + L) CoraLite594-conjugated secondary antibody was purchased from Proteintech (IL, USA). IRDye 800CW goat anti-mouse IgG (926–32,210) and IRDye 800CW goat anti-rabbit IgG (926–32,211) were purchased from LI-COR (NE, United States).

2.3 Construction of recombinant expression plasmids

The target fragment was amplified by polymerase chain reaction (PCR) using ASFV (GZ201801) genomic DNA as a template. The PCR products were separated by agarose gel electrophoresis at 150 V for 15 min, and after confirming the correct size of the products using a gel imaging analyzer, the products were purified and recovered. Following the homologous recombinase (Vazyme, Shanghai, China) instructions, the target fragment was ligated into the XhoI and EcoRI (Thermo Fisher Scientific, MA, USA) restriction enzyme-cleaved vector to generate a recombinant plasmid pCAGGS-p72-HA. Subsequently, the PCR products were transferred to competent cells prepared in advance, and the competent cells were revived through steps such as ice bath and heat shock. After revival, the cells were spread onto LB agar plates containing 20 μg/ml ampicillin and incubated at 37°C for 12 h. Single colonies were picked and inoculated into LB broth containing 20 μg/mL ampicillin and incubated overnight at 37°C. After the bacterial solution became turbid, plasmid extraction was performed. The plasmid was used after confirmation of their correctness through sequencing analysis. Using observed and imaged PAM cDNA as a template, the host protein genes CD63, B2M, YTHDF2, FTH1, SHFL, CDK5RAP3, VIM, PELO, TIMP2, PHYH, C1QC, CMAS, and ERCC1 were amplified by PCR and cloned into the pEGFP-C1 plasmid (restriction enzyme sites XhoI and BamHI) via homologous recombination. Subsequently, it was transferred into recipient cells for screening and amplification. Then, the plasmids were extracted and validated through sequencing analysis.

2.4 Interaction protein screening using isolation-based ubiquitin-mediated yeast two-hybrid system

After establishing a cDNA library from PAM cells, a ubiquitin-mediated Y2H system was used to screen for host proteins that interacted with the ASFV p72 protein. The bait vector, pBT3-N, carried the selection marker Leu2, whereas the prey vector carried the selection marker Trp1 and was named pPR3-N. First, the self-activation and functionality of both vectors were tested to determine their toxicity in yeast cells and the culture conditions for library screening. The bait plasmid, pBT3-p72, was transformed into the yeast strain NMY51 to create a bait strain. Subsequently, the PAM cDNA library was screened through two rounds of hybridization, followed by sequencing and analysis of the blue colonies on QDO/X-α-Gal/5 mM 3’AT plates. Host proteins that interacted with p72 were compared using the National Center for Biotechnology Information BLAST tool. All recombinant plasmids were validated by sequencing, and the primers used for PCR amplification are listed in Table 1.

Table 1
www.frontiersin.org

Table 1. PCR amplification primer sequences.

2.5 Confocal immunofluorescence microscopy

First, 13 mm cell coverslips (Nest, Wuxi, China) were placed at the bottom of a 24-well plate. The 3D4/21 cells were seeded into the wells and allowed to grow until they reached 70–80% confluence. Lipofectamine 2000 transfection reagent was then used to co-transfect 0.5 μg of pCAGGS-p72-HA and 0.5 μg of pEGFP-CD63/B2M/YTHDF2/FTH1/SHFL/CDK5RAP3/VIM/PELO/TIMP2/PHYH/C1QC/CMAS/ERCC1 plasmids into the cells. After transfection for 24 h, the cells were fixed with 4% paraformaldehyde for 15 min, permeabilized with 0.3% Triton X-100 for 15 min, and then blocked with 5% bovine serum albumin at 37°C for 1 h. Mouse anti-HA monoclonal antibody was used as the primary antibody and incubated overnight at 4°C. The secondary antibody used was goat anti-mouse IgG (H + L) CoraLite594-conjugated, and it was incubated at 37°C for 1 h. DAPI (4′,6-diamidino-2-phenylindole) staining was performed to visualize cell nuclei. Subsequently, the cell coverslips were mounted on clean glass slides using mounting medium, and the images were captured using a laser confocal microscope (Olympus, Japan). The parameters were adjusted as follows: the scanning speed was set to standard speed and the image resolution was set to 1,024 × 1,024. The laser intensity will be adjusted based on the received fluorescence brightness to ensure imaging quality and accuracy.

2.6 Immunoprecipitation

HEK-293T cells were seeded in a 100 mm cell culture dish. When the cells reached 80% confluence, Lipofectamine 2000 transfection reagent was used to co-transfect 5 μg of pCAGGS-p72-HA and 5 μg of pEGFP-CD63/B2M/YTHDF2/FTH1/SHFL/CDK5RAP3/VIM/PELO/TIMP2/PHYH/C1QC/CMAS/ERCC1 plasmids into the cells. After 24 h of transfection, the culture medium was removed and the cells were washed with phosphate buffered saline. Next, 1 mL of pre-mixed immunoprecipitation lysis buffer (Beyotime, Shanghai, China) containing proteinase inhibitors was added to the cells, followed by cell lysis on ice for 20 min. The lysate was collected by centrifugation for 10 min, and the supernatant was retained. Subsequently, 25 μL of protein A/G agarose beads were mixed with 400 μL of cell lysate, and mouse anti-HA monoclonal antibody and normal IgG were added for immunoprecipitation. The mixture was incubated overnight at 4°C. The immunoprecipitated complexes were washed thrice with TBST buffer (Tris-buffered saline containing 0.1% Tween 20). The clear upper layer of the immunoprecipitated complexes was collected and centrifuged. The supernatant was added to sodium dodecyl-sulfate polyacrylamide gel electrophoresis (SDS-PAGE) protein sample loading buffer and boiled at 100°C for 5 min for western blot analysis.

2.7 Protein immunoblotting

Add denatured proteins at high temperature into the sample wells of a 12% SDS-PAGE (Vazyme, Shanghai, China), and run the gel at 80 V for 30 min followed by 120 V for 1 h to separate the proteins. After electrophoresis, transfer the proteins onto a nitrocellulose membrane (Millipore, MA, USA) at 300 mA for 90 min. To prevent nonspecific binding, the membrane was blocked with 5% skim milk at 25°C for 1 h, followed by three washes with TBST. The membrane was incubated overnight at 4°C with primary antibodies specific for green fluorescent protein (GFP) and hemagglutinin (HA), followed by washing with TBST. Finally, the membrane was incubated at 25°C for 1 h with IRDye 800CW secondary antibody. The results were visualized using the Sapphire RGBNIR Biomolecular Imager (Azure Biosystems, USA).

2.8 Construction of protein–protein interaction network

The 13 validated host proteins were input into the PPI database STRING (version 12.0)1 with the species set as Sus scrofa. The database was also searched for information on other host proteins that may directly or indirectly interact with these 13 proteins. The results were imported into the protein interaction analysis tool Cytoscape (version v3.10.1) for the construction, annotation, and visualization of the protein interaction network.

2.9 Functional enrichment analysis of interacting proteins and proteomics analysis

The Metascape analysis website2 was used for GO and KEGG pathway enrichment analyses. The enriched and proteomics data were further analyzed and visualized using the Bioinformatics website.3

3 Results

3.1 Identification of 37 host proteins interacting with ASFV p72 through yeast two-hybrid system

The cDNA library plasmids were transformed into the yeast bait strain and a selective medium used to select positive clones. Yeast colonies transformed with pBT3-N-Bait and pPR3-N-Prey library plasmids produced blue colonies on TDO (SD/−Leu/−Trp/-His)/X/3’AT 5 mM medium, indicating successful plasmid transformation without toxicity to the yeast cells. Blue positive clones were picked and inoculated onto QDO (SD/−Leu/−Trp/-His/−Ade)/X/3’AT 5 mM medium. The growth of blue and white colonies confirmed the interaction between pBT3-N-Bait and pPR3-N-Prey (Figure 1A), in which both HIS3 and ADE2 reporter genes were activated. Positive monoclonal yeast colonies grown on QDO/X/3’AT 5 mM medium were used for PCR and sequencing analysis to remove redundant sequences, resulting in the identification of 37 cellular proteins that interact with ASFV p72 protein (Figure 1B), and the functions of 37 host proteins are presented in Table 2.

Figure 1
www.frontiersin.org

Figure 1. Screening host cell proteins interacting with ASFV p72 using membrane yeast two-hybrid system. The bait and prey plasmids were co-transformed into NMY51 cells, and the transformed cells were inoculated onto TDO/X/3’AT 5 mM plates. (A) Blue colonies were picked and inoculated onto QDO/X/3’AT 5 mM plates for further screening of positive clones. “+” indicates co-transformation of PTSU2-APP and PNubG-Fe65, while “−” indicates co-transformation of PTSU2-APP and PPR3-N. The numbers in the picture correspond to the numbers in Table 2. (B) The PCR products of positive clones were analyzed by agarose gel electrophoresis.

Table 2
www.frontiersin.org

Table 2. Information on 37 proteins interacting with ASFV p72.

3.2 Co-localization of p72 protein with host proteins in the cytoplasm

To validate the identified interacting proteins through Y2H screening, we selected 13 proteins of particular interest, including CD63, B2M, YTHDF2, FTH1, SHFL, CDK5RAP3, VIM, PELO, TIMP2, PHOH, C1QC, CMAS, and ERCC1, which are involved in invasion, replication, and immune function. The host proteins were cloned into a eukaryotic expression vector with an EGFP tag, and then the resulting eukaryotic expression vectors were co-transfected with PCAGGS-p72-HA into 3D4/21 cells. Confocal fluorescence microscopy was used to observe the subcellular localization patterns (Figure 2).

Figure 2
www.frontiersin.org

Figure 2. Localization of proteins within the cell. The p72-HA and EGFP-tagged host protein expression vectors, pEGFP-CD63, pEGFP-B2M, pEGFP-YTHDF2, pEGFP-FTH1, pEGFP-SHFL, pEGFP-CDK5RAP3, pEGFP-VIM, pEGFP-PELO, pEGFP-TIMP2, pEGFP-PHYH, pEGFP-C1QC, pEGFP-CMAS, and pEGFP-ERCC1, were co-transfected into 3D4/21 cells. After transfection, the cells were observed using confocal fluorescence microscopy to analyze the intracellular localization of the proteins.

We observed that ASFV p72, CD63, B2M, YTHDF2, FTH1, SFHL, VIM, TIMP2 and C1QC are mainly expressed in the cytoplasm, while CDK5RAP3, PELO, PHYH, CMAS and ERCC1 expressed in both cytoplasm and nucleus. It should be noted that in 3D4/21 cells overexpressing CDK5RAP3 and ERCC1 proteins, we observed partial localization of p72 in the nucleus. We speculate that this localization may be related to the role of CDK5RAP3 and ERCC1 proteins in genome stability, and may lead to the entry of p72 protein into the nucleus. Additionally, CD63 and PHYH partially co-localize with ASFV p72 in the cytoplasm. Although the degree of co-localization is low, the possibility of interaction cannot be ruled out, and further validation of the interaction status is needed through immunoprecipitation or other methods.

3.3 Validation of the interaction between p72 protein and host proteins

Co-localization of the two proteins indicated that they had a consistent intracellular spatial distribution. To further determine whether the p72 protein interacted with the 13 host proteins, we co-transfected the pCAGGS-p72-HA plasmid and these 13 host protein plasmids into HEK-293 T cells, followed by Co-IP experiments. The results showed that p72 immunoprecipitated with CD63, B2M, YTHDF2, FTH1, SHFL, CDK5RAP3, VIM, PELO, TIMP2, PHYH, C1QC, CMAS, and ERCC1, indicating that p72 interacts with these host proteins (Figure 3).

Figure 3
www.frontiersin.org

Figure 3. Validation of protein–protein interactions by immunoprecipitation. To validate the interactions between p72 protein and the identified host proteins, we co-transfected pCAGGS-p72-HA plasmid with pEGFP-CD63, pEGFP-B2M, pEGFP-YTHDF2, pEGFP-FTH1, pEGFP-SHFL, pEGFP-CDK5RAP3, pEGFP-VIM, pEGFP-PELO, pEGFP-TIMP2, pEGFP-PHYH, pEGFP-C1QC, pEGFP-CMAS, and pEGFP-ERCC1 expression vectors into HEK-293T cells. Following transfection, cell lysates were subjected to immunoprecipitation using either IgG or anti-HA antibody, followed by western blot analysis.

3.4 Proteomics analysis and validation of results

We determined the virus titer of ASFV using the HAD50 method and infected PAMs at a multiplicity of infection of 1. After 48 h, we performed proteomic sequencing on the infected cells. The results of this sequencing were previously mentioned in a published paper (Gao et al., 2022). Differential gene expression is represented in a volcano plot (Figure 4A), where the blue markers indicate downregulated host proteins, such as PHYH, VIM, PELO, and YTHDF2 (a total of 1,697 proteins), and the upregulated proteins are represented by red markers, including TFH1 and B2M (a total of 90 proteins). The expression levels of the host proteins TIMP2, CMAS, C1QC, SHFL, CDK5RAP3, CD63, and ERCC1 did not change significantly. In order to validate the reliability of the proteomic data, we overexpressed two host proteins, YTHDF2 and PELO, in WSL cells. Western blot experiments showed that the expression of p72 was downregulated 24 h after ASFV infection as the expression levels of YTHDF2 and PELO proteins increased (Figures 4B,C). Furthermore, in WSL cells, overexpression of YTHDF2 and PELO proteins followed by ASFV infection resulted in significant inhibition of p72 expression at different time points compared to the ASFV-infected control group (Figures 4D,E). These results suggest that YTHDF2 and PELO are likely host factors that inhibit ASFV proliferation and exert a defensive role during viral infection.

Figure 4
www.frontiersin.org

Figure 4. Proteomics analysis and validation of results. (A) Volcano plot showing differentially expressed proteins in ASFV-infected PAM cells compared to normal PAM cells. Blue represents downregulated proteins, red represents upregulated proteins, and gray represents proteins with no significant difference (p < 0.05, |logFC| > 1.0). (B–E) WSL cells were transfected with pEGFP-YTHDF2 or pEGFP-PELO expression vectors. After ASFV infection, the expression levels of viral p72 protein were detected using western blot, with tubulin serving as the loading control.

3.5 Construction of the interaction network between p72 and cellular proteins

To better visualize the interactions between p72 and these 13 interacting proteins, as well as other host proteins, a PPI interaction network was constructed using Cytoscape (Figure 5). The network consisted of 74 nodes and 391 network edges. The circular center on the left side of the graph represents p72, and the surrounding circle consists of 13 host proteins that interact with p72. The darker the color, the more host proteins it interacted with. On the right side is another circle representing 60 host proteins that interacted with the 13 host proteins.

Figure 5
www.frontiersin.org

Figure 5. Construction and analysis of the interaction network between ASFV p72 and host proteins. The STRING database was used to analyze protein interactions, with an interaction score threshold of >0.4. Four proteins (CMAS, PHYH, VIM, and SHFL) did not show any interactions with other host proteins at a minimum interaction score of 0.4. The corresponding protein interaction network was constructed using Cytoscape v.3.10.1, where each node represents a protein, and the edges represent interactions between proteins.

3.6 GO enrichment analysis and KEGG pathway enrichment analysis

To further understand the role of the p72 protein in host cells and the main biological functions of the interacting proteins, GO functional enrichment (Figure 6A) and KEGG pathway enrichment analyses (Figure 6B) were performed on the 13 interacting proteins (CD63, B2M, YTHDF2, FTH1, SHFL, CDK5RAP3, VIM, PELO, TIMP2, PHYH, C1QC, CMAS, and ERCC1) and the 60 host proteins that interacted with them. GO biological process analysis showed the enrichment of immune cell function regulation, antigen presentation, regulation of cellular components, and iron ion balance. GO cellular component analysis showed the enrichment of cytoplasmic membrane receptors, complement complexes, chromosome parts, and tertiary granule cavities. GO molecular function analysis revealed enrichment for antigen binding, MHC protein complex binding, cell adhesion molecule binding, DNA endonuclease activity, and iron binding. KEGG pathway enrichment analysis indicated that most of the host proteins interacting with p72 were related to antigen processing and presentation, whereas some proteins were involved in immune cell regulation, regulation of cellular components, and intracellular iron ion balance. In summary, p72 may be involved in regulating immune cell function, antigen presentation, cellular components, and iron ion balance.

Figure 6
www.frontiersin.org

Figure 6. The GO and KEGG pathway enrichment analysis of host proteins interacting with p72. (A) The GO enrichment analysis is divided into three categories: biological processes (BP), cellular components (CC), and molecular functions (MF). The X-axis represents the gene ratio, and the Y-axis represents the GO terms. (B) The KEGG pathway enrichment analysis, where the X-axis represents the proportion of enrichment factors, and the Y-axis represents the metabolic pathways.

4 Discussion

In recent years, the rapid spread of ASF has caused enormous losses in the domestic pig industry. The p72 protein sequence is highly conserved and serves as a basis for ASFV genotyping. It plays important roles in antigenic epitope recognition, adsorption, internalization, and other processes (Quembo et al., 2018; Wang N. et al., 2019). p72 is a viral protein with significant research value. ASFV lacks a complete set of enzymes and ribosomes and cannot independently carry out its own life activities. Therefore, ASFV hijacks host proteins to assist in its proliferation by interacting with them while evading the host immune system. For example, ASFV P54 directly binds to the light chain of cytoplasmic dynein (LC8) to assist in the transport of viral particles (Alonso et al., 2001). P17 interferes with the cGAS-STING pathway by interacting with STING, thereby participating in immune evasion (Zheng et al., 2022). A179L acts on the key pro-apoptotic family member Bcl2, thereby inhibiting apoptosis in infected cells (Brun et al., 1996).

Generally, the life cycle of a virus consists of adsorption, internalization, uncoating, biosynthesis, assembly, and budding. ASFV infection begins with adsorption and internalization. GO biological analysis revealed enrichment of proteins related to adsorption, including CMAS, which is involved in the synthesis of cell surface sialic acid receptors (Sellmeier et al., 2015). Research has shown that CMAS interacts with the influenza A virus (IAV) membrane protein M1, and when CMAS is knocked out in host cells, IAV adsorption is significantly inhibited (Zhao et al., 2021). We speculate that p72 may have biological functions similar to those of IAV M1, regulating the activity of CMAS through interactions and affecting the synthesis of cell surface sialic acid receptors, thus participating in the adsorption process of the virus. CD63 is present in tetraspanin-enriched microdomains on the cell membrane, late endosomes, and lysosomes (Hernaez et al., 2016; Ghosh et al., 2022). CD63 can enter the cell through caveolin-and clathrin-mediated endocytosis (Pols and Klumperman, 2009), and ASFV can enter the cell through clathrin-mediated endocytosis (Galindo et al., 2015). We speculate that p72 might regulate clathrin-mediated endocytosis by interacting with CD63. Viruses often regulate their own replication through interactions with host proteins; however, there have been few reports on the interaction between p72 and host proteins in the regulation of ASFV replication. Tissue inhibitor of metalloproteinases 2 (TIMP2) is the most extensively studied member of the TIMP family (Baker et al., 2002). The carboxyl-terminal domain of hepatitis C virus (HCV) NS4B activates MMP-2 through the JNK and ERK signaling pathways, promoting the formation of the HCV replication complex (Aligo et al., 2009; Li et al., 2012). We speculate that p72 might affect the normal physiological function of MMPs by interacting with TIMP2, thereby regulating ASFV replication. ERCC1 has been reported to play a central role in nucleotide excision repair (NER) (Manandhar et al., 2015) and induces the formation of the proliferating cell nuclear antigen (PCNA) complex through its dual incision activity (Miura et al., 1996). PCNA can target the repair of ASFV dsDNA (Shao et al., 2023); therefore, the interaction between p72 and ERCC1 may assist in stabilizing viral genome replication by affecting the physiological function of PCNA. YTHDF2 is a member of the N6-methyladenosine (m6A)-binding protein family that accelerates mRNA decay (Hsu et al., 2017). One study showed that there are m6A methylation sites in the coding region of HBx, a key replication gene of HCV, and cellular modification by YTHDF2 strongly inhibits the transcription and expression levels of HBx (Kim and Siddiqui, 2022). Interestingly, ASFV infection significantly downregulated the YTHDF2 protein in WSL cells (Figure 4C); therefore, we speculate that the interaction between p72 and YTHDF2 may be a way for the virus to stabilize its own transcription process. SHFL and PELO may play important roles in translation following viral transcription. SHFL is involved in the initial translation process of flaviviruses, coronaviruses, and retroviruses, inhibiting interferon-stimulated genes that are highly conserved in mammals (Suzuki et al., 2016; Wang X. et al., 2019; Wu et al., 2020; Hanners et al., 2021). PELO acts at the termination stage of translation and can dissociate stalled 80S ribosomes caused by RNA damage (van den Elzen et al., 2010). After WSL infection with ASFV, we found a significant decrease in PELO expression in the cells (Figure 4E), suggesting that p72 may regulate the translation process of the ASFV genome by regulating PELO expression. Vimentin (VIM) is one of the most extensively studied members of the cellular cytoskeleton system (Ridge et al., 2022) and is recruited to the viral factory and rearranged into a cage-like structure in the early stages of ASFV infection, providing a suitable environment for viral assembly (Stefanovic et al., 2005). However, the mechanism of interaction between this protein and p72 requires further study.

According to GO biological analysis and KEGG pathway enrichment analysis, in addition to its roles in the viral lifecycle, p72 may play important roles in innate immunity, antigen presentation, and cellular immune responses. p72 has multiple antigenic neutralization epitopes and can be neutralized and blocked by p72 antibodies, playing an important role in the immune response (Zsak et al., 1993; Miao et al., 2023). Proteomic data analysis revealed that after ASFV infection of PAMs, the expression of B2M, an important peptide recognition and presentation protein, was significantly upregulated, consistent with the phenomenon caused by simian immunodeficiency virus and human immunodeficiency virus infections (Chitra et al., 2011; Maxi et al., 2021). Therefore, we speculated that this protein plays an important immune function in the infection process, and that the interaction between p72 and B2M may affect this process. C1QC, an important component of the classical complement system pathway, can bind to IAV surface antigens and, after a series of immune reactions, form convertase and release a membrane attack complex to attack infected cells and virus-antibody complexes (Chrast et al., 2004; Dunkelberger and Song, 2010; Varghese et al., 2022). p72 may act on C1QC to interfere with this immune response. Some viruses prevent cell apoptosis by interfering with apoptosis genes or inhibiting apoptosis signaling pathways to achieve proliferation and evasion of the immune system, including ASFV (Gao et al., 2023; Luo et al., 2023). CDK5RAP3 may inhibit the E3 ubiquitin ligase activity of ARF through HDM2 and LZAP to enhance the stability of the apoptosis-inducing protein P53 and inhibit apoptosis (Wamsley et al., 2017; Sheng et al., 2021). Therefore, we speculated that the interaction between CDK5RAP3 and ASFV p72 may affect cell apoptosis. In addition, PHYH is a member of the ubiquitous Fe (II) and 2OG (2-oxoglutarate) oxygenase superfamily, which catalyzes the first step of the alpha oxidation of phytanic acid in peroxisomes. Defects in this protein lead to accumulation of peroxisomal substances, resulting in iron death (Clifton et al., 2006; Wierzbicki, 2007). FTH1 mainly exists in peroxisomes, exhibits ferroxidase activity, functions in iron storage, and inhibits iron-mediated reactive oxygen species production and iron death (Alkhateeb and Connor, 2013). Increasing evidence suggests that viruses regulate cellular iron death processes to promote viral infections. For example, Newcastle disease virus reduces the expression of FTH1 through autophagy and promotes iron death and viral replication (Kan et al., 2021). However, the presence of iron ions and iron proteins in cells inhibits the expression of the HCV genome and proteins (Fillebeen and Pantopoulos, 2010; Wang et al., 2022). Currently, no studies have revealed a connection between ASFV infection and the iron death process involving key proteins such as FTH1 and PHYH. Further research is required to determine whether the interaction between p72 and FTH1 or PHYH promotes or inhibits iron death.

This study used experimental methods such as Y2H, confocal microscopy, and immunoprecipitation to identify 13 cellular proteins that interact with ASFV p72 and infer their potential functions during viral infection through the construction of a PPI network, proteomic data analysis, and GO and KEGG enrichment analyses. The mechanisms and functions of the interaction between p72 and other proteins, with the exception of VIM, have not been reported. Additionally, the quantity and interactions of related proteins in the PPI network were complex, suggesting the existence of numerous potential p72-interacting proteins within the cell that exert their functions by forming protein complexes. In addition to participating in processes such as virus attachment, internalization, and immune evasion, it was also found that p72 may indirectly regulate processes such as virus replication and translation through its interactions with certain proteins. However, in this study, we have not yet verified the functional domains of p72 and the 13 interacting proteins through site-directed mutagenesis, which limits our in-depth understanding of these protein domains. Additionally, the use of overexpression to simulate the localization of p72 and other host proteins in the cell has limitations. Proteins overexpression in cells may significantly impact the biological processes of themselves, affecting the reliability of the data. Nonetheless, this approach has provided us with a preliminary understanding of p72 interactions, and further research is necessary to gain a more comprehensive and accurate understanding of the specific interactions and functions of these proteins in the process of virus replication. In summary, our study provides important clues for understanding the interactions of ASFV p72 protein, which reveals many potential functions and mechanisms that have not been reported, providing valuable information for the search for novel therapeutic targets against ASFV.

5 Conclusion

In this study, we first utilized the Y2H system to screen out 13 PAM cellular proteins that potentially interact with ASFV p72, which were further validated through confocal microscopy and immunoprecipitation. By constructing a PPI network and conducting proteomic, GO, and KEGG pathway enrichment analysis, we found that the interaction of ASFV p72 with CMAS, CD63, TIMP2, ERCC1, YTHDF2, PELO, SHFL, and VIM proteins is likely to be involved in various processes of the virus lifecycle, including attachment, internalization, transcription, translation, and assembly. On the other hand, the interaction of ASFV p72 with B2M, C1QC, CDK5RAP3, PHYH, and FTH1 proteins plays important roles in inhibiting the innate immune system and immune evasion processes. This study deepens our understanding of the p72 protein and provides new insights for the development of vaccines or drugs targeting ASFV.

Data availability statement

The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding authors.

Ethics statement

Ethical approval was not required for the studies on animals in accordance with the local legislation and institutional requirements because only commercially available established cell lines were used.

Author contributions

ZW: Conceptualization, Data curation, Formal analysis, Methodology, Software, Writing – original draft. XZ: Data curation, Writing – original draft. YL: Conceptualization, Writing – review & editing. XC: Conceptualization, Writing – review & editing. QP: Conceptualization, Writing – review & editing. GZ: Conceptualization, Resources, Writing – review & editing. LG: Conceptualization, Methodology, Writing – review & editing. ZZ: Conceptualization, Writing – original draft, Writing – review & editing, Data curation, Project administration, Resources.

Funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This research was funded by the National Key Research and Development Program of China (2021YFD1800100), Start-up Research Project of Maoming Laboratory (2021TDQD002), and China Agriculture Research System of MOF and MARA (cars-35).

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Footnotes

References

Aligo, J., Jia, S., Manna, D., and Konan, K. V. (2009). Formation and function of hepatitis C virus replication complexes require residues in the carboxy-terminal domain of NS4B protein. Virology 393, 68–83. doi: 10.1016/j.virol.2009.07.033

PubMed Abstract | Crossref Full Text | Google Scholar

Alkhateeb, A. A., and Connor, J. R. (2013). The significance of ferritin in cancer: anti-oxidation, inflammation and tumorigenesis. Biochim. Biophys. Acta 1836, 245–254. doi: 10.1016/j.bbcan.2013.07.002

PubMed Abstract | Crossref Full Text | Google Scholar

Alonso, C., Miskin, J., Hernaez, B., Fernandez-Zapatero, P., Soto, L., Canto, C., et al. (2001). African swine fever virus protein p54 interacts with the microtubular motor complex through direct binding to light-chain dynein. J. Virol. 75, 9819–9827. doi: 10.1128/JVI.75.20.9819-9827.2001

PubMed Abstract | Crossref Full Text | Google Scholar

Andres, G., Alejo, A., Salas, J., and Salas, M. L. (2002). African swine fever virus polyproteins pp220 and pp62 assemble into the core shell. J. Virol. 76, 12473–12482. doi: 10.1128/jvi.76.24.12473-12482.2002

PubMed Abstract | Crossref Full Text | Google Scholar

Arabyan, E., Kotsynyan, A., Hakobyan, A., and Zakaryan, H. (2019). Antiviral agents against African swine fever virus. Virus Res. 270:197669. doi: 10.1016/j.virusres.2019.197669

PubMed Abstract | Crossref Full Text | Google Scholar

Baker, A. H., Edwards, D. R., and Murphy, G. (2002). Metalloproteinase inhibitors: biological actions and therapeutic opportunities. J. Cell Sci. 115, 3719–3727. doi: 10.1242/jcs.00063

PubMed Abstract | Crossref Full Text | Google Scholar

Bastos, A. D., Penrith, M. L., Cruciere, C., Edrich, J. L., Hutchings, G., Roger, F., et al. (2003). Genotyping field strains of African swine fever virus by partial p72 gene characterisation. Arch. Virol. 148, 693–706. doi: 10.1007/s00705-002-0946-8

PubMed Abstract | Crossref Full Text | Google Scholar

Brun, A., Rivas, C., Esteban, M., Escribano, J. M., and Alonso, C. (1996). African swine fever virus gene A179L, a viral homologue of bcl-2, protects cells from programmed cell death. Virology 225, 227–230. doi: 10.1006/viro.1996.0592

Crossref Full Text | Google Scholar

Carrascosa, A. L., Santaren, J. F., and Vinuela, E. (1982). Production and titration of African swine fever virus in porcine alveolar macrophages. J. Virol. Methods 3, 303–310. doi: 10.1016/0166-0934(82)90034-9

PubMed Abstract | Crossref Full Text | Google Scholar

Chitra, P., Bakthavatsalam, B., and Palvannan, T. (2011). Beta-2 microglobulin as an immunological marker to assess the progression of human immunodeficiency virus infected patients on highly active antiretroviral therapy. Clin. Chim. Acta 412, 1151–1154. doi: 10.1016/j.cca.2011.01.037

PubMed Abstract | Crossref Full Text | Google Scholar

Chrast, R., Verheijen, M. H., and Lemke, G. (2004). Complement factors in adult peripheral nerve: a potential role in energy metabolism. Neurochem. Int. 45, 353–359. doi: 10.1016/j.neuint.2003.09.011

Crossref Full Text | Google Scholar

Clifton, I. J., McDonough, M. A., Ehrismann, D., Kershaw, N. J., Granatino, N., and Schofield, C. J. (2006). Structural studies on 2-oxoglutarate oxygenases and related double-stranded beta-helix fold proteins. J. Inorg. Biochem. 100, 644–669. doi: 10.1016/j.jinorgbio.2006.01.024

PubMed Abstract | Crossref Full Text | Google Scholar

Dunkelberger, J. R., and Song, W. C. (2010). Complement and its role in innate and adaptive immune responses. Cell Res. 20, 34–50. doi: 10.1038/cr.2009.139

Crossref Full Text | Google Scholar

Fillebeen, C., and Pantopoulos, K. (2010). Iron inhibits replication of infectious hepatitis C virus in permissive Huh7.5.1 cells. J. Hepatol. 53, 995–999. doi: 10.1016/j.jhep.2010.04.044

PubMed Abstract | Crossref Full Text | Google Scholar

Galindo, I., Cuesta-Geijo, M. A., Hlavova, K., Munoz-Moreno, R., Barrado-Gil, L., Dominguez, J., et al. (2015). African swine fever virus infects macrophages, the natural host cells, via clathrin-and cholesterol-dependent endocytosis. Virus Res. 200, 45–55. doi: 10.1016/j.virusres.2015.01.022

PubMed Abstract | Crossref Full Text | Google Scholar

Gao, Q., Yang, Y., Feng, Y., Quan, W., Luo, Y., Wang, H., et al. (2022). Effects of the NF-kappaB signaling pathway inhibitor BAY11-7082 in the replication of ASFV. Viruses 14:297. doi: 10.3390/v14020297

PubMed Abstract | Crossref Full Text | Google Scholar

Gao, Q., Yang, Y., Luo, Y., Chen, X., Gong, T., Wu, D., et al. (2023). African swine fever virus envelope glycoprotein CD2v interacts with host CSF2RA to regulate the JAK2-STAT3 pathway and inhibit apoptosis to facilitate virus replication. J. Virol. 97:e188922. doi: 10.1128/jvi.01889-22

PubMed Abstract | Crossref Full Text | Google Scholar

Garcia-Escudero, R., Andres, G., Almazan, F., and Vinuela, E. (1998). Inducible gene expression from African swine fever virus recombinants: analysis of the major capsid protein p72. J. Virol. 72, 3185–3195. doi: 10.1128/JVI.72.4.3185-3195.1998

PubMed Abstract | Crossref Full Text | Google Scholar

Gaudreault, N. N., and Richt, J. A. (2019). Subunit vaccine approaches for african swine fever virus. Vaccines 7:56. doi: 10.3390/vaccines7020056

PubMed Abstract | Crossref Full Text | Google Scholar

Ghosh, D., Pham, T. D., Nanaware, P. P., Sengupta, D., Adler, L. N., Li, C. G., et al. (2022). Regulation of the BCR signalosome by the class II peptide editor, H2-M, affects the development and repertoire of innate-like B cells. Cell Rep. 38:110200. doi: 10.1016/j.celrep.2021.110200

PubMed Abstract | Crossref Full Text | Google Scholar

Gomez-Puertas, P., Rodriguez, F., Oviedo, J. M., Ramiro-Ibanez, F., Ruiz-Gonzalvo, F., Alonso, C., et al. (1996). Neutralizing antibodies to different proteins of African swine fever virus inhibit both virus attachment and internalization. J. Virol. 70, 5689–5694. doi: 10.1128/JVI.70.8.5689-5694.1996

PubMed Abstract | Crossref Full Text | Google Scholar

Hanners, N. W., Mar, K. B., Boys, I. N., Eitson, J. L., De La Cruz-Rivera, P. C., Richardson, R. B., et al. (2021). Shiftless inhibits flavivirus replication in vitro and is neuroprotective in a mouse model of Zika virus pathogenesis. Proc. Natl. Acad. Sci. U. S. A. 118:e2111266118. doi: 10.1073/pnas.2111266118

PubMed Abstract | Crossref Full Text | Google Scholar

Heimerman, M. E., Murgia, M. V., Wu, P., Lowe, A. D., Jia, W., and Rowland, R. R. (2018). Linear epitopes in African swine fever virus p72 recognized by monoclonal antibodies prepared against baculovirus-expressed antigen. J. Vet. Diagn. Invest. 30, 406–412. doi: 10.1177/1040638717753966

PubMed Abstract | Crossref Full Text | Google Scholar

Hernaez, B., Guerra, M., Salas, M. L., and Andres, G. (2016). African swine fever virus undergoes outer envelope disruption, capsid disassembly and inner envelope fusion before core release from multivesicular endosomes. PLoS Pathog. 12:e1005595. doi: 10.1371/journal.ppat.1005595

PubMed Abstract | Crossref Full Text | Google Scholar

Hsu, P. J., Zhu, Y., Ma, H., Guo, Y., Shi, X., Liu, Y., et al. (2017). Ythdc2 is an N(6)-methyladenosine binding protein that regulates mammalian spermatogenesis. Cell Res. 27, 1115–1127. doi: 10.1038/cr.2017.99

PubMed Abstract | Crossref Full Text | Google Scholar

Kan, X., Yin, Y., Song, C., Tan, L., Qiu, X., Liao, Y., et al. (2021). Newcastle-disease-virus-induced ferroptosis through nutrient deprivation and ferritinophagy in tumor cells. iScience 24:102837. doi: 10.1016/j.isci.2021.102837

PubMed Abstract | Crossref Full Text | Google Scholar

Kim, G. W., and Siddiqui, A. (2022). Hepatitis b virus x protein expression is tightly regulated by N6-Methyladenosine modification of its mRNA. J. Virol. 96:e165521. doi: 10.1128/JVI.01655-21

PubMed Abstract | Crossref Full Text | Google Scholar

Liang, R., Wang, G., Zhang, D., Ye, G., Li, M., Shi, Y., et al. (2021). Structural comparisons of host and African swine fever virus dUTPases reveal new clues for inhibitor development. J. Biol. Chem. 296:100015. doi: 10.1074/jbc.RA120.01400513

PubMed Abstract | Crossref Full Text | Google Scholar

Li, Y., Zhang, Q., Liu, Y., Luo, Z., Kang, L., Qu, J., et al. (2012). Hepatitis C virus activates Bcl-2 and MMP-2 expression through multiple cellular signaling pathways. J. Virol. 86, 12531–12543. doi: 10.1128/JVI.01136-12

PubMed Abstract | Crossref Full Text | Google Scholar

Luo, Y., Yang, Y., Wang, W., Gao, Q., Gong, T., Feng, Y., et al. (2023). Aloe-emodin inhibits African swine fever virus replication by promoting apoptosis via regulating NF-kappaB signaling pathway. Virol. J. 20:158. doi: 10.1186/s12985-023-02126-8

PubMed Abstract | Crossref Full Text | Google Scholar

Manandhar, M., Boulware, K. S., and Wood, R. D. (2015). The ERCC1 and ERCC4 (XPF) genes and gene products. Gene 569, 153–161. doi: 10.1016/j.gene.2015.06.026

PubMed Abstract | Crossref Full Text | Google Scholar

Maxi, J. K., Foret, B. L., Amedee, A. M., McDaniel, L. S., Nelson, S., Simon, L., et al. (2021). Antiretroviral therapy administration reduces neuroinflammation without restoring brain-derived neurotrophic factor signaling in alcohol-administered simian immunodeficiency virus-infected macaques. AIDS 35, 1343–1353. doi: 10.1097/QAD.0000000000002896

Crossref Full Text | Google Scholar

Miao, C., Yang, S., Shao, J., Zhou, G., Ma, Y., Wen, S., et al. (2023). Identification of p72 epitopes of African swine fever virus and preliminary application. Front. Microbiol. 14:1126794. doi: 10.3389/fmicb.2023.1126794

PubMed Abstract | Crossref Full Text | Google Scholar

Miura, M., Nakamura, S., Sasaki, T., Takasaki, Y., Shiomi, T., and Yamaizumi, M. (1996). Roles of XPG and XPF/ERCC1 endonucleases in UV-induced immunostaining of PCNA in fibroblasts. Exp. Cell Res. 226, 126–132. doi: 10.1006/excr.1996.0210

PubMed Abstract | Crossref Full Text | Google Scholar

Pols, M. S., and Klumperman, J. (2009). Trafficking and function of the tetraspanin CD63. Exp. Cell Res. 315, 1584–1592. doi: 10.1016/j.yexcr.2008.09.020

Crossref Full Text | Google Scholar

Quembo, C. J., Jori, F., Vosloo, W., and Heath, L. (2018). Genetic characterization of African swine fever virus isolates from soft ticks at the wildlife/domestic interface in Mozambique and identification of a novel genotype. Transbound. Emerg. Dis. 65, 420–431. doi: 10.1111/tbed.12700

PubMed Abstract | Crossref Full Text | Google Scholar

Ridge, K. M., Eriksson, J. E., Pekny, M., and Goldman, R. D. (2022). Roles of vimentin in health and disease. Genes Dev. 36, 391–407. doi: 10.1101/gad.349358.122

PubMed Abstract | Crossref Full Text | Google Scholar

Salas, M. L., and Andres, G. (2013). African swine fever virus morphogenesis. Virus Res. 173, 29–41. doi: 10.1016/j.virusres.2012.09.016

Crossref Full Text | Google Scholar

Sellmeier, M., Weinhold, B., and Munster-Kuhnel, A. (2015). CMP-sialic acid synthetase: the point of constriction in the sialylation pathway. Top. Curr. Chem. 366, 139–167. doi: 10.1007/128_2013_477

PubMed Abstract | Crossref Full Text | Google Scholar

Shao, Z., Yang, J., Gao, Y., Zhang, Y., Zhao, X., Shao, Q., et al. (2023). Structural and functional studies of PCNA from African swine fever virus. J. Virol. 97:e74823. doi: 10.1128/jvi.00748-23

PubMed Abstract | Crossref Full Text | Google Scholar

Sheng, L., Li, J., Rao, S., Yang, Z., and Huang, Y. (2021). Cyclin-dependent kinase 5 regulatory subunit associated protein 3: potential functions and implications for development and disease. Front. Oncol. 11:760429. doi: 10.3389/fonc.2021.760429

PubMed Abstract | Crossref Full Text | Google Scholar

Stefanovic, S., Windsor, M., Nagata, K. I., Inagaki, M., and Wileman, T. (2005). Vimentin rearrangement during African swine fever virus infection involves retrograde transport along microtubules and phosphorylation of vimentin by calcium calmodulin kinase II. J. Virol. 79, 11766–11775. doi: 10.1128/JVI.79.18.11766-11775.2005

PubMed Abstract | Crossref Full Text | Google Scholar

Suarez, C., Salas, M. L., and Rodriguez, J. M. (2010). African swine fever virus polyprotein pp62 is essential for viral core development. J. Virol. 84, 176–187. doi: 10.1128/JVI.01858-09

PubMed Abstract | Crossref Full Text | Google Scholar

Suzuki, Y., Chin, W. X., Han, Q., Ichiyama, K., Lee, C. H., Eyo, Z. W., et al. (2016). Characterization of RyDEN (C19orf66) as an interferon-stimulated cellular inhibitor against dengue virus replication. PLoS Pathog. 12:e1005357. doi: 10.1371/journal.ppat.1005357

PubMed Abstract | Crossref Full Text | Google Scholar

Urbano, A. C., and Ferreira, F. (2022). African swine fever control and prevention: An update on vaccine development. Emerg. Microbes. Infect. 11, 2021–2033. doi: 10.1080/22221751.2022.2108342

Crossref Full Text | Google Scholar

van den Elzen, A. M., Henri, J., Lazar, N., Gas, M. E., Durand, D., Lacroute, F., et al. (2010). Dissection of Dom34-Hbs1 reveals independent functions in two RNA quality control pathways. Nat. Struct. Mol. Biol. 17, 1446–1452. doi: 10.1038/nsmb.1963

PubMed Abstract | Crossref Full Text | Google Scholar

Varghese, P. M., Kishore, U., and Rajkumari, R. (2022). Human c1q regulates influenza a virus infection and inflammatory response via its globular domain. Int. J. Mol. Sci. 23:3045. doi: 10.3390/ijms23063045

PubMed Abstract | Crossref Full Text | Google Scholar

Wamsley, J. J., Gary, C., Biktasova, A., Hajek, M., Bellinger, G., Virk, R., et al. (2017). Loss of LZAP inactivates p53 and regulates sensitivity of cells to DNA damage in a p53-dependent manner. Oncogenesis 6:e314. doi: 10.1038/oncsis.2017.12

PubMed Abstract | Crossref Full Text | Google Scholar

Wang, M. P., Joshua, B., Jin, N. Y., Du, S. W., and Li, C. (2022). Ferroptosis in viral infection: the unexplored possibility. Acta Pharmacol. Sin. 43, 1905–1915. doi: 10.1038/s41401-021-00814-1

Crossref Full Text | Google Scholar

Wang, X., Xuan, Y., Han, Y., Ding, X., Ye, K., Yang, F., et al. (2019). Regulation of HIV-1 gag-pol expression by shiftless, an inhibitor of programmed −1 ribosomal frameshifting. Cell 176, 625–635.e14. doi: 10.1016/j.cell.2018.12.030

PubMed Abstract | Crossref Full Text | Google Scholar

Wang, N., Zhao, D., Wang, J., Zhang, Y., Wang, M., Gao, Y., et al. (2019). Architecture of African swine fever virus and implications for viral assembly. Science 366, 640–644. doi: 10.1126/science.aaz1439

PubMed Abstract | Crossref Full Text | Google Scholar

Wierzbicki, A. S. (2007). Peroxisomal disorders affecting phytanic acid alpha-oxidation: a review. Biochem. Soc. Trans. 35, 881–886. doi: 10.1042/BST0350881

PubMed Abstract | Crossref Full Text | Google Scholar

Wu, Y., Yang, X., Yao, Z., Dong, X., Zhang, D., Hu, Y., et al. (2020). C19orf66 interrupts Zika virus replication by inducing lysosomal degradation of viral NS3. PLoS Negl. Trop. Dis. 14:e8083:e0008083. doi: 10.1371/journal.pntd.0008083

PubMed Abstract | Crossref Full Text | Google Scholar

Zhao, Y., Zou, J., Gao, Q., Xie, S., Cao, J., and Zhou, H. (2021). CMAS and ST3GAL4 play an important role in the adsorption of influenza virus by affecting the synthesis of sialic acid receptors. Int. J. Mol. Sci. 22:6081. doi: 10.3390/ijms22116081

PubMed Abstract | Crossref Full Text | Google Scholar

Zheng, W., Xia, N., Zhang, J., Cao, Q., Jiang, S., Luo, J., et al. (2022). African swine fever virus structural protein p17 inhibits cGAS-STING signaling pathway through interacting with STING. Front. Immunol. 13:941579. doi: 10.3389/fimmu.2022.941579

PubMed Abstract | Crossref Full Text | Google Scholar

Zhou, X., Li, N., Luo, Y., Liu, Y., Miao, F., Chen, T., et al. (2018). Emergence of African swine fever in China, 2018. Transbound. Emerg. Dis. 65, 1482–1484. doi: 10.1111/tbed.12989

PubMed Abstract | Crossref Full Text | Google Scholar

Zsak, L., Onisk, D. V., Afonso, C. L., and Rock, D. L. (1993). Virulent African swine fever virus isolates are neutralized by swine immune serum and by monoclonal antibodies recognizing a 72-kDa viral protein. Virology 196, 596–602. doi: 10.1006/viro.1993.1515

PubMed Abstract | Crossref Full Text | Google Scholar

Keywords: African swine fever virus, p72, virus-host protein interaction, yeast two hybrid, coimmunoprecipitation, confocal localization

Citation: Weng Z, Zheng X, Liang Y, Chen X, Peng Q, Zhang G, Gong L and Zheng Z (2024) Porcine alveolar macrophages host proteins interacting with African swine fever virus p72. Front. Microbiol. 15:1370417. doi: 10.3389/fmicb.2024.1370417

Received: 14 January 2024; Accepted: 12 February 2024;
Published: 28 February 2024.

Edited by:

Leiliang Zhang, Shandong First Medical University and Shandong Academy of Medical Sciences, China

Reviewed by:

Djamal Brahim Belhaouari, Texas A&M University, United States
Fernando Costa Ferreira, University of Lisbon, Portugal
Aihua Zheng, Chinese Academy of Sciences (CAS), China
Nan Zheng, Nanjing University, China

Copyright © 2024 Weng, Zheng, Liang, Chen, Peng, Zhang, Gong and Zheng. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Zezhong Zheng, emV6aG9uZ0BzY2F1LmVkdS5jbg==; Lang Gong, Z29uZ2xhbmdAc2NhdS5lZHUuY24=

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.