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Wang G, Cao Y, Xu C, Zhang S, Huang Y, Zhang S, Bao W. Comprehensive transcriptomic and metabolomic analysis of porcine intestinal epithelial cells after PDCoV infection. Front Vet Sci 2024; 11:1359547. [PMID: 38855411 PMCID: PMC11160942 DOI: 10.3389/fvets.2024.1359547] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Accepted: 05/07/2024] [Indexed: 06/11/2024] Open
Abstract
Introduction Porcine deltacoronavirus (PDCoV), an emerging swine enteropathogenic coronavirus with worldwide distribution, mainly infects newborn piglets with severe diarrhea, vomiting, dehydration, and even death, causing huge economic losses to the pig industry. However, the underlying pathogenic mechanisms of PDCoV infection and the effects of PDCoV infection on host transcripts and metabolites remain incompletely understood. Methods This study investigated a combined transcriptomic and metabolomic analysis of porcine intestinal epithelial cells (IPEC-J2) following PDCoV infection by LC/MS and RNA-seq techniques. A total of 1,401 differentially expressed genes and 254 differentially accumulated metabolites were detected in the comparison group of PDCoV-infected vs. mock-infected. Results and discussion We found that PDCoV infection regulates gene sets associated with multiple signaling pathways, including the neuroactive ligand-receptor interaction, cytokine-cytokine receptor interaction, MAPK signaling pathway, chemokine signaling pathway, ras signaling pathway and so on. Besides, the metabolomic results showed that biosynthesis of cofactors, nucleotide metabolism, protein digestion and absorption, and biosynthesis of amino acid were involved in PDCoV infection. Moreover, integrated transcriptomics and metabolomics analyses revealed the involvement of ferroptosis in PDCoV infection, and exogenous addition of the ferroptosis activator erastin significantly inhibited PDCoV replication. Overall, these unique transcriptional and metabolic reprogramming features may provide a better understanding of PDCoV-infected IPEC-J2 cells and potential targets for antiviral treatment.
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Affiliation(s)
- Guangzheng Wang
- Key Laboratory for Animal Genetics, Breeding, Reproduction and Molecular Design, College of Animal Science and Technology, Yangzhou University, Yangzhou, China
| | - Yanan Cao
- Key Laboratory for Animal Genetics, Breeding, Reproduction and Molecular Design, College of Animal Science and Technology, Yangzhou University, Yangzhou, China
| | - Chao Xu
- Key Laboratory for Animal Genetics, Breeding, Reproduction and Molecular Design, College of Animal Science and Technology, Yangzhou University, Yangzhou, China
| | - Shuoshuo Zhang
- Key Laboratory for Animal Genetics, Breeding, Reproduction and Molecular Design, College of Animal Science and Technology, Yangzhou University, Yangzhou, China
| | - Yanjie Huang
- Key Laboratory for Animal Genetics, Breeding, Reproduction and Molecular Design, College of Animal Science and Technology, Yangzhou University, Yangzhou, China
| | - Shuai Zhang
- Key Laboratory for Animal Genetics, Breeding, Reproduction and Molecular Design, College of Animal Science and Technology, Yangzhou University, Yangzhou, China
| | - Wenbin Bao
- Key Laboratory for Animal Genetics, Breeding, Reproduction and Molecular Design, College of Animal Science and Technology, Yangzhou University, Yangzhou, China
- Joint International Research Laboratory of Agriculture and Agri-Product Safety, Yangzhou University, Yangzhou, China
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2
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Wang Y, Song J, Deng X, Wang J, Zhang M, Liu Y, Tang P, Liu H, Zhou Y, Tong G, Li G, Yu L. Nanoparticle vaccines based on the receptor binding domain of porcine deltacoronavirus elicit robust protective immune responses in mice. Front Immunol 2024; 15:1328266. [PMID: 38550592 PMCID: PMC10972852 DOI: 10.3389/fimmu.2024.1328266] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2023] [Accepted: 02/28/2024] [Indexed: 04/02/2024] Open
Abstract
Background Porcine deltacoronavirus (PDCoV), a novel swine enteropathogenic coronavirus, challenges the global swine industry. Currently, there are no approaches preventing swine from PDCoV infection. Methods A new PDCoV strain named JS2211 was isolated. Next, the dimer receptor binding domain of PDCoV spike protein (RBD-dimer) was expressed using the prokaryotic expression system, and a novel nanoparticle containing RBD-dimer and ferritin (SC-Fe) was constructed using the SpyTag/SpyCatcher system. Finally, the immunoprotection of RBD-Fe nanoparticles was evaluated in mice. Results The novel PDCoV strain was located in the clade of the late Chinese isolate strains and close to the United States strains. The RBD-Fe nanoparticles were successfully established. Immune responses of the homologous prime-boost regime showed that RBD-Fe nanoparticles efficiently elicited specific humoral and cellular immune responses in mice. Notably, high level PDCoV RBD-specific IgG and neutralizing antibody (NA) could be detected, and the histopathological results showed that PDCoV infection was dramatically reduced in mice immunized with RBD-Fe nanoparticles. Conclusion This study effectively developed a candidate nanoparticle with receptor binding domain of PDCoV spike protein that offers protection against PDCoV infection in mice.
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Affiliation(s)
- Yuanhong Wang
- Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai, China
| | - Junhan Song
- Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai, China
| | - Xiaoying Deng
- Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai, China
| | - Junna Wang
- Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai, China
| | - Miao Zhang
- Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai, China
| | - Yun Liu
- Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai, China
| | - Pan Tang
- Institute of Animal Husbandry and Veterinary Science, Shanghai Academy of Agricultural Sciences, Shanghai, China
| | - Huili Liu
- Institute of Animal Husbandry and Veterinary Science, Shanghai Academy of Agricultural Sciences, Shanghai, China
| | - Yanjun Zhou
- Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai, China
| | - Guangzhi Tong
- Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai, China
| | - Guoxin Li
- Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai, China
- Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, Yangzhou University, Yangzhou, China
| | - Lingxue Yu
- Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai, China
- Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, Yangzhou University, Yangzhou, China
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Huang H, Lei X, Zhao C, Qin Y, Li Y, Zhang X, Li C, Lan T, Zhao B, Sun W, Lu H, Jin N. Porcine deltacoronavirus nsp5 antagonizes type I interferon signaling by cleaving IFIT3. J Virol 2024; 98:e0168223. [PMID: 38289117 PMCID: PMC10878044 DOI: 10.1128/jvi.01682-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2023] [Accepted: 12/21/2023] [Indexed: 02/01/2024] Open
Abstract
Porcine deltacoronavirus (PDCoV) has caused enormous economic losses to the global pig industry. However, the immune escape mechanism of PDCoV remains to be fully clarified. Transcriptomic analysis revealed a high abundance of interferon (IFN)-induced protein with tetratricopeptide repeats 3 (IFIT3) transcripts after PDCoV infection, which initially implied a correlation between IFIT3 and PDCoV. Further studies showed that PDCoV nsp5 could antagonize the host type I interferon signaling pathway by cleaving IFIT3. We demonstrated that PDCoV nsp5 cleaved porcine IFIT3 (pIFIT3) at Gln-406. Similar cleavage of endogenous IFIT3 has also been observed in PDCoV-infected cells. The pIFIT3-Q406A mutant was resistant to nsp5-mediated cleavage and exhibited a greater ability to inhibit PDCoV infection than wild-type pIFIT3. Furthermore, we found that cleavage of IFIT3 is a common characteristic of nsp5 proteins of human coronaviruses, albeit not alphacoronavirus. This finding suggests that the cleavage of IFIT3 is an important mechanism by which PDCoV nsp5 antagonizes IFN signaling. Our study provides new insights into the mechanisms by which PDCoV antagonizes the host innate immune response.IMPORTANCEPorcine deltacoronavirus (PDCoV) is a potential emerging zoonotic pathogen, and studies on the prevalence and pathogenesis of PDCoV are ongoing. The main protease (nsp5) of PDCoV provides an excellent target for antivirals due to its essential and conserved function in the viral replication cycle. Previous studies have revealed that nsp5 of PDCoV antagonizes type I interferon (IFN) production by targeting the interferon-stimulated genes. Here, we provide the first demonstration that nsp5 of PDCoV antagonizes IFN signaling by cleaving IFIT3, which affects the IFN response after PDCoV infection. Our findings reveal that PDCoV nsp5 is an important interferon antagonist and enhance the understanding of immune evasion by deltacoronaviruses.
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Affiliation(s)
- Haixin Huang
- College of Veterinary Medicine, Northwest A&F University, Xianyang, Shaanxi, China
- Institute of Virology, Wenzhou University, Wenzhou, Zhejiang, China
| | - Xiaoxiao Lei
- Institute of Virology, Wenzhou University, Wenzhou, Zhejiang, China
| | - Chenchen Zhao
- Institute of Virology, Wenzhou University, Wenzhou, Zhejiang, China
| | - Yan Qin
- Institute of Virology, Wenzhou University, Wenzhou, Zhejiang, China
| | - Yuying Li
- Institute of Virology, Wenzhou University, Wenzhou, Zhejiang, China
| | - Xinyu Zhang
- Institute of Virology, Wenzhou University, Wenzhou, Zhejiang, China
| | - Chengkai Li
- Institute of Virology, Wenzhou University, Wenzhou, Zhejiang, China
| | - Tian Lan
- Institute of Virology, Wenzhou University, Wenzhou, Zhejiang, China
| | - Baopeng Zhao
- Institute of Virology, Wenzhou University, Wenzhou, Zhejiang, China
| | - Wenchao Sun
- Institute of Virology, Wenzhou University, Wenzhou, Zhejiang, China
| | - Huijun Lu
- Changchun Institute of Veterinary Medicine, Chinese Academy of Agricultural Sciences, Changchun, Jilin, China
| | - Ningyi Jin
- College of Veterinary Medicine, Northwest A&F University, Xianyang, Shaanxi, China
- Changchun Institute of Veterinary Medicine, Chinese Academy of Agricultural Sciences, Changchun, Jilin, China
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4
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Yu R, Zhang L, Zhou P, Zhang Z, Liu X, Wang Y, Guo H, Pan L, Liu X. Evaluation of the immunoprotective effects of porcine deltacoronavirus subunit vaccines. Virology 2024; 590:109955. [PMID: 38070302 DOI: 10.1016/j.virol.2023.109955] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Revised: 11/16/2023] [Accepted: 11/23/2023] [Indexed: 01/03/2024]
Abstract
Porcine deltacoronavirus (PDCoV), a new porcine enteric coronavirus, has seriously endangered the pig breeding industry and caused great economic losses. However, a PDCoV vaccine is not commercially available. Therefore, new and efficient PDCoV vaccines must be developed without delay. In this study, we used the ExpiCHO eukaryotic expression system to express and purify the following 3 structural proteins of PDCoV: S, N and M. Subsequently, the level of humoral and cellular immunity induced by the S protein (immunization with the S protein alone) and a protein mixture (immunization with a mixture of S, N and M proteins) were evaluated in mice and piglets, respectively, and the performances of the 2 immunizations in a challenge protection test were assessed in piglets. The results showed that both the S protein and the protein mixture induced the production of high levels of specific IgG antibodies and neutralizing antibodies and effectively neutralized PDCoV-infected LLC-PK cells in vitro. Furthermore, compared with the S protein, the N and M proteins in the protein mixture promoted the expression of CD8+ T cells and IFN-γ, induced a stronger cellular immune response, and effectively protected 4/5 of the piglets from PDCoV infection. In conclusion, the results of this study showed that the N and M proteins play important roles in inducing an immunoprotective response. Using N and M antigens as effective antigenic components in the development of PDCoV vaccines in the future will effectively increase the immune efficacy of the vaccines.
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Affiliation(s)
- Ruiming Yu
- State Key Laboratory for Animal Disease Control and Prevention, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou, China; National Center of Technology Innovation for Pigs, China
| | - Liping Zhang
- State Key Laboratory for Animal Disease Control and Prevention, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou, China; National Center of Technology Innovation for Pigs, China
| | - Peng Zhou
- State Key Laboratory for Animal Disease Control and Prevention, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou, China
| | - Zhongwang Zhang
- State Key Laboratory for Animal Disease Control and Prevention, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou, China
| | - Xiaoqing Liu
- State Key Laboratory for Animal Disease Control and Prevention, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou, China
| | - Yonglu Wang
- State Key Laboratory for Animal Disease Control and Prevention, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou, China
| | - Huichen Guo
- State Key Laboratory for Animal Disease Control and Prevention, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou, China
| | - Li Pan
- State Key Laboratory for Animal Disease Control and Prevention, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou, China.
| | - Xinsheng Liu
- State Key Laboratory for Animal Disease Control and Prevention, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou, China; National Center of Technology Innovation for Pigs, China.
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Lu Y, Yu R, Tong L, Zhang L, Zhang Z, Pan L, Wang Y, Guo H, Hu Y, Liu X. Transcriptome Analysis of LLC-PK Cells Single or Coinfected with Porcine Epidemic Diarrhea Virus and Porcine Deltacoronavirus. Viruses 2023; 16:74. [PMID: 38257774 PMCID: PMC10818665 DOI: 10.3390/v16010074] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2023] [Revised: 12/22/2023] [Accepted: 12/28/2023] [Indexed: 01/24/2024] Open
Abstract
Porcine epidemic diarrhea virus (PEDV) and porcine deltacoronavirus (PDCoV) are the two most prevalent swine enteric coronaviruses worldwide. They commonly cause natural coinfections, which worsen as the disease progresses and cause increased mortality in piglets. To better understand the transcriptomic changes after PEDV and PDCoV coinfection, we compared LLC porcine kidney (LLC-PK) cells infected with PEDV and/or PDCoV and evaluated the differential expression of genes by transcriptomic analysis and real-time qPCR. The antiviral efficacy of interferon-stimulated gene 20 (ISG20) against PDCoV and PEDV infections was also assessed. Differentially expressed genes (DEGs) were detected in PEDV-, PDCoV-, and PEDV + PDCoV-infected cells at 6, 12, and 24 h post-infection (hpi), and at 24 hpi, the number of DEGs was the highest. Furthermore, changes in the expression of interferons, which are mainly related to apoptosis and activation of the host innate immune pathway, were found in the PEDV and PDCoV infection and coinfection groups. Additionally, 43 ISGs, including GBP2, IRF1, ISG20, and IFIT2, were upregulated during PEDV or PDCoV infection. Furthermore, we found that ISG20 significantly inhibited PEDV and PDCoV infection in LLC-PK cells. The transcriptomic profiles of cells coinfected with PEDV and PDCoV were reported, providing reference data for understanding the host response to PEDV and PDCoV coinfection.
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Affiliation(s)
- Yanzhen Lu
- College of Veterinary Medicine, Gansu Agricultural University, Lanzhou 730070, China; (Y.L.)
- State Key Laboratory for Animal Disease Control and Prevention, OIE/National Foot-and-Mouth Disease Reference Laboratory, Key Laboratory of Animal Virology of Ministry of Agriculture, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou 730046, China (L.P.)
| | - Ruiming Yu
- College of Veterinary Medicine, Gansu Agricultural University, Lanzhou 730070, China; (Y.L.)
- State Key Laboratory for Animal Disease Control and Prevention, OIE/National Foot-and-Mouth Disease Reference Laboratory, Key Laboratory of Animal Virology of Ministry of Agriculture, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou 730046, China (L.P.)
| | - Lixin Tong
- College of Veterinary Medicine, Gansu Agricultural University, Lanzhou 730070, China; (Y.L.)
- State Key Laboratory for Animal Disease Control and Prevention, OIE/National Foot-and-Mouth Disease Reference Laboratory, Key Laboratory of Animal Virology of Ministry of Agriculture, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou 730046, China (L.P.)
| | - Liping Zhang
- State Key Laboratory for Animal Disease Control and Prevention, OIE/National Foot-and-Mouth Disease Reference Laboratory, Key Laboratory of Animal Virology of Ministry of Agriculture, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou 730046, China (L.P.)
| | - Zhongwang Zhang
- State Key Laboratory for Animal Disease Control and Prevention, OIE/National Foot-and-Mouth Disease Reference Laboratory, Key Laboratory of Animal Virology of Ministry of Agriculture, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou 730046, China (L.P.)
| | - Li Pan
- State Key Laboratory for Animal Disease Control and Prevention, OIE/National Foot-and-Mouth Disease Reference Laboratory, Key Laboratory of Animal Virology of Ministry of Agriculture, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou 730046, China (L.P.)
| | - Yonglu Wang
- State Key Laboratory for Animal Disease Control and Prevention, OIE/National Foot-and-Mouth Disease Reference Laboratory, Key Laboratory of Animal Virology of Ministry of Agriculture, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou 730046, China (L.P.)
| | - Huichen Guo
- State Key Laboratory for Animal Disease Control and Prevention, OIE/National Foot-and-Mouth Disease Reference Laboratory, Key Laboratory of Animal Virology of Ministry of Agriculture, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou 730046, China (L.P.)
| | - Yonghao Hu
- College of Veterinary Medicine, Gansu Agricultural University, Lanzhou 730070, China; (Y.L.)
| | - Xinsheng Liu
- State Key Laboratory for Animal Disease Control and Prevention, OIE/National Foot-and-Mouth Disease Reference Laboratory, Key Laboratory of Animal Virology of Ministry of Agriculture, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou 730046, China (L.P.)
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Sun J, Zhang Q, Zhang C, Liu Z, Zhang J. Epidemiology of porcine deltacoronavirus among Chinese pig populations in China: systematic review and meta-analysis. Front Vet Sci 2023; 10:1198593. [PMID: 37483295 PMCID: PMC10361067 DOI: 10.3389/fvets.2023.1198593] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2023] [Accepted: 05/31/2023] [Indexed: 07/25/2023] Open
Abstract
Porcine deltacoronavirus (PDCoV) is a newly emerging and important porcine enteropathogenic coronavirus that seriously threatens the swine industry in China and worldwide. We conducted a systematic review and meta-analysis to access the prevalence of PDCoV infection in pig population from mainland China. Electronic databases were reviewed for PDCoV infection in pig population, and meta-analysis was performed to calculate the overall estimated prevalence using random-effect models. Thirty-nine studies were included (including data from 31,015 pigs). The overall estimated prevalence of PDCoV infection in pigs in China was 12.2% [95% confidence interval (CI), 10.2-14.2%], and that in Central China was 24.5% (95%CI, 16.1-32.9%), which was higher than those in other regions. During 2014-2021, the estimated prevalence of PDCoV infection was the highest in 2015 at 20.5% (95%CI, 10.1-31.0%) and the lowest in 2021 at 4.8% (95%CI, 2.3-7.3%). The prevalence of PDCoV infection in sows was 23.6% (95%CI, 15.8-31.4%), which was higher than those in suckling piglets, nursery piglets, and finishing pigs. The prevalence of PDCoV infection was significantly associated with sampling region, sampling year, pig stage, and clinical signs (diarrhea). This study systematically evaluated the epidemiology of PDCoV infection in Chinese pig population. The findings provide us with a comprehensive understanding of PDCoV infection and are beneficial for establishing new controlling strategies worldwide.
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Affiliation(s)
- Junying Sun
- Institute of Animal Health, Guangdong Academy of Agricultural Sciences, Guangzhou, China
- Key Laboratory of Livestock Disease Prevention of Guangdong Province, Guangzhou, China
- Scientific Observation and Experiment Station of Veterinary Drugs and Diagnostic Techniques of Guangdong Province, Ministry of Agriculture and Rural Affairs, Guangzhou, China
| | - Qin Zhang
- Institute of Animal Health, Guangdong Academy of Agricultural Sciences, Guangzhou, China
| | - Chunhong Zhang
- Institute of Animal Health, Guangdong Academy of Agricultural Sciences, Guangzhou, China
- Key Laboratory of Livestock Disease Prevention of Guangdong Province, Guangzhou, China
- Scientific Observation and Experiment Station of Veterinary Drugs and Diagnostic Techniques of Guangdong Province, Ministry of Agriculture and Rural Affairs, Guangzhou, China
| | - Zhicheng Liu
- Institute of Animal Health, Guangdong Academy of Agricultural Sciences, Guangzhou, China
- Key Laboratory of Livestock Disease Prevention of Guangdong Province, Guangzhou, China
- Scientific Observation and Experiment Station of Veterinary Drugs and Diagnostic Techniques of Guangdong Province, Ministry of Agriculture and Rural Affairs, Guangzhou, China
| | - Jianfeng Zhang
- Institute of Animal Health, Guangdong Academy of Agricultural Sciences, Guangzhou, China
- Key Laboratory of Livestock Disease Prevention of Guangdong Province, Guangzhou, China
- Scientific Observation and Experiment Station of Veterinary Drugs and Diagnostic Techniques of Guangdong Province, Ministry of Agriculture and Rural Affairs, Guangzhou, China
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Castañeda-Montes FJ, Cerriteño-Sánchez JL, Castañeda-Montes MA, Cuevas-Romero JS, Mendoza-Elvira S. A Candidate Antigen of the Recombinant Membrane Protein Derived from the Porcine Deltacoronavirus Synthetic Gene to Detect Seropositive Pigs. Viruses 2023; 15:v15051049. [PMID: 37243136 DOI: 10.3390/v15051049] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Revised: 04/20/2023] [Accepted: 04/22/2023] [Indexed: 05/28/2023] Open
Abstract
Porcine deltacoronavirus (PDCoV) is an emergent swine coronavirus which infects cells from the small intestine and induces watery diarrhea, vomiting and dehydration, causing mortality in piglets (>40%). The aim of this study was to evaluate the antigenicity and immunogenicity of the recombinant membrane protein (M) of PDCoV (rM-PDCoV), which was developed from a synthetic gene obtained after an in silico analysis with a group of 138 GenBank sequences. A 3D model and phylogenetic analysis confirmed the highly conserved M protein structure. Therefore, the synthetic gene was successfully cloned in a pETSUMO vector and transformed in E. coli BL21 (DE3). The rM-PDCoV was confirmed by SDS-PAGE and Western blot with ~37.7 kDa. The rM-PDCoV immunogenicity was evaluated in immunized (BLAB/c) mice and iELISA. The data showed increased antibodies from 7 days until 28 days (p < 0.001). The rM-PDCoV antigenicity was analyzed using pig sera samples from three states located in "El Bajío" Mexico and positive sera were determined. Our results show that PDCoV has continued circulating on pig farms in Mexico since the first report in 2019; therefore, the impact of PDCoV on the swine industry could be higher than reported in other studies.
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Affiliation(s)
- Francisco Jesus Castañeda-Montes
- Centro Nacional de Investigación Disciplinaria en Salud Animal e Inocuidad, Instituto Nacional de Investigaciones Forestales, Agrícolas y Pecuarias, Km 15.5 Carretera México-Toluca, Palo Alto, Cuajimalpa, Ciudad de México 05110, Mexico
- Posgrado en Ciencias de la Producción y de la Salud Animal, Facultad de Estudios Superiores Cuautitlán, Estado de México, Universidad Nacional Autónoma de México, Ciudad de México 04510, Mexico
| | - José Luis Cerriteño-Sánchez
- Centro Nacional de Investigación Disciplinaria en Salud Animal e Inocuidad, Instituto Nacional de Investigaciones Forestales, Agrícolas y Pecuarias, Km 15.5 Carretera México-Toluca, Palo Alto, Cuajimalpa, Ciudad de México 05110, Mexico
| | - María Azucena Castañeda-Montes
- Centro Nacional de Investigación Disciplinaria en Salud Animal e Inocuidad, Instituto Nacional de Investigaciones Forestales, Agrícolas y Pecuarias, Km 15.5 Carretera México-Toluca, Palo Alto, Cuajimalpa, Ciudad de México 05110, Mexico
| | - Julieta Sandra Cuevas-Romero
- Centro Nacional de Investigación Disciplinaria en Salud Animal e Inocuidad, Instituto Nacional de Investigaciones Forestales, Agrícolas y Pecuarias, Km 15.5 Carretera México-Toluca, Palo Alto, Cuajimalpa, Ciudad de México 05110, Mexico
| | - Susana Mendoza-Elvira
- Posgrado en Ciencias de la Producción y de la Salud Animal, Facultad de Estudios Superiores Cuautitlán, Estado de México, Universidad Nacional Autónoma de México, Ciudad de México 04510, Mexico
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8
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Li Q, Shah T, Wang B, Qu L, Wang R, Hou Y, Baloch Z, Xia X. Cross-species transmission, evolution and zoonotic potential of coronaviruses. Front Cell Infect Microbiol 2023; 12:1081370. [PMID: 36683695 PMCID: PMC9853062 DOI: 10.3389/fcimb.2022.1081370] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Accepted: 12/19/2022] [Indexed: 01/09/2023] Open
Abstract
Coronaviruses (CoVs) continuously evolve, crossing species barriers and spreading across host ranges. Over the last two decades, several CoVs (HCoV-229E, HCoV-NL63, HCoV-HKU1, HCoV-OC43, SARS-CoV, MERS-CoV, and SARS-CoV-2) have emerged in animals and mammals, causing significant economic and human life losses. Due to CoV cross-species transmission and the evolution of novel viruses, it is critical to identify their natural reservoiurs and the circumstances under which their transmission occurs. In this review, we use genetic and ecological data to disentangle the evolution of various CoVs in wildlife, humans, and domestic mammals. We thoroughly investigate several host species and outline the epidemiology of CoVs toward specific hosts. We also discuss the cross-species transmission of CoVs at the interface of wildlife, animals, and humans. Clarifying the epidemiology and diversity of species reservoirs will significantly impact our ability to respond to the future emergence of CoVs in humans and domestic animals.
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Affiliation(s)
- Qian Li
- Faculty of Life Science and Technology, Kunming University of Science and Technology, Kunming, Yunnan, China,Affiliated Anning First People’s Hospital, Kunming University of Science and Technology, Kunming, China,The First Affiliated Hospital & Clinical Medical College, Dali University, Dali, Yunnan, China
| | - Taif Shah
- Faculty of Life Science and Technology, Kunming University of Science and Technology, Kunming, Yunnan, China,Affiliated Anning First People’s Hospital, Kunming University of Science and Technology, Kunming, China
| | - Binghui Wang
- Faculty of Life Science and Technology, Kunming University of Science and Technology, Kunming, Yunnan, China,Affiliated Anning First People’s Hospital, Kunming University of Science and Technology, Kunming, China
| | - Linyu Qu
- Faculty of Life Science and Technology, Kunming University of Science and Technology, Kunming, Yunnan, China,Affiliated Anning First People’s Hospital, Kunming University of Science and Technology, Kunming, China
| | - Rui Wang
- Faculty of Life Science and Technology, Kunming University of Science and Technology, Kunming, Yunnan, China,Affiliated Anning First People’s Hospital, Kunming University of Science and Technology, Kunming, China
| | - Yutong Hou
- Faculty of Life Science and Technology, Kunming University of Science and Technology, Kunming, Yunnan, China,Affiliated Anning First People’s Hospital, Kunming University of Science and Technology, Kunming, China
| | - Zulqarnain Baloch
- Faculty of Life Science and Technology, Kunming University of Science and Technology, Kunming, Yunnan, China,Affiliated Anning First People’s Hospital, Kunming University of Science and Technology, Kunming, China
| | - Xueshan Xia
- Faculty of Life Science and Technology, Kunming University of Science and Technology, Kunming, Yunnan, China,Affiliated Anning First People’s Hospital, Kunming University of Science and Technology, Kunming, China,*Correspondence: Xueshan Xia,
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9
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Zhai K, Zhang Z, Liu X, Lv J, Zhang L, Li J, Ma Z, Wang Y, Guo H, Zhang Y, Pan L. Mucosal immune responses induced by oral administration of recombinant Lactococcus lactis expressing the S1 protein of PDCoV. Virology 2023; 578:180-189. [PMID: 36586181 DOI: 10.1016/j.virol.2022.12.010] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2022] [Revised: 12/20/2022] [Accepted: 12/20/2022] [Indexed: 12/27/2022]
Abstract
Porcine deltacoronavirus is an evolving coronavirus that primarily infects the intestine and may lead to intestinal disease in piglets. Up to now, no commercial vaccination is readily accessible to protect against the spread of PDCoV. Lactococcus lactis has been shown to have good immune efficacy and safety and can be used as a genetically engineered vaccine to deliver antigens. In this research, we utilized L. lactis NZ9000 to provide the S1 protein orally and improved the delivery efficiency by connecting the M cell targeting ligand Co1 with the S1 protein of PDCoV in tandem to obtain the recombinant protein S1-Co1. We successfully constructed two recombinant strains capable of expressing PDCoV-S1 and PDCoV-S1-Co1 proteins (i.e., L. lactis NZ9000-S1 and L. lactis NZ9000-S1-Co1), and their immunogenic capacity was evaluated in mice. Our study shows that Lactococcus is an advantageous bacterial live vector vaccine and is anticipated as a potential PDCoV vaccination option.
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Affiliation(s)
- Kaige Zhai
- State Key Laboratory of Veterinary Etiological Biology, National Foot-and-Mouth Diseases Reference Laboratory, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou, 730046, China.
| | - Zhongwang Zhang
- State Key Laboratory of Veterinary Etiological Biology, National Foot-and-Mouth Diseases Reference Laboratory, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou, 730046, China.
| | - Xinsheng Liu
- State Key Laboratory of Veterinary Etiological Biology, National Foot-and-Mouth Diseases Reference Laboratory, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou, 730046, China.
| | - Jianliang Lv
- State Key Laboratory of Veterinary Etiological Biology, National Foot-and-Mouth Diseases Reference Laboratory, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou, 730046, China.
| | - Liping Zhang
- State Key Laboratory of Veterinary Etiological Biology, National Foot-and-Mouth Diseases Reference Laboratory, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou, 730046, China.
| | - Jiahao Li
- State Key Laboratory of Veterinary Etiological Biology, National Foot-and-Mouth Diseases Reference Laboratory, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou, 730046, China.
| | - Zhongyuan Ma
- State Key Laboratory of Veterinary Etiological Biology, National Foot-and-Mouth Diseases Reference Laboratory, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou, 730046, China.
| | - Yonglu Wang
- State Key Laboratory of Veterinary Etiological Biology, National Foot-and-Mouth Diseases Reference Laboratory, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou, 730046, China.
| | - Huichen Guo
- State Key Laboratory of Veterinary Etiological Biology, National Foot-and-Mouth Diseases Reference Laboratory, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou, 730046, China.
| | - Yongguang Zhang
- State Key Laboratory of Veterinary Etiological Biology, National Foot-and-Mouth Diseases Reference Laboratory, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou, 730046, China.
| | - Li Pan
- State Key Laboratory of Veterinary Etiological Biology, National Foot-and-Mouth Diseases Reference Laboratory, Lanzhou Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Lanzhou, 730046, China.
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10
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Zhang H, Ding Q, Yuan J, Han F, Wei Z, Hu H. Susceptibility to mice and potential evolutionary characteristics of porcine deltacoronavirus. J Med Virol 2022; 94:5723-5738. [PMID: 35927214 DOI: 10.1002/jmv.28048] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2022] [Revised: 07/31/2022] [Accepted: 08/01/2022] [Indexed: 01/06/2023]
Abstract
Porcine deltacoronavirus (PDCoV) is a novel coronavirus that causes diarrhea in suckling piglets and has the potential for cross-species transmission, posing a threat to animal and human health. However, the susceptibility profile of different species of mice to PDCoV infection and its evolutionary characteristics are still unclear. In the current study, we found that BALB/c and Kunming mice are susceptible to PDCoV. Our results showed that there were obvious lesions in intestinal and lung tissues from the infected mice. PDCoV RNAs were detected in the lung, kidney, and intestinal tissues from the infected mice of both strains, and there existed wider tissue tropism in the PDCoV-infected BALB/c mice. The RNA and protein levels of aminopeptidase N from mice were relatively high in the kidney and intestinal tissues and obviously increased after PDCoV infection. The viral-specific IgG and neutralizing antibodies against PDCoV were detected in the serum of infected mice. An interesting finding was that two key amino acid mutations, D138H and Q641K, in the S protein were identified in the PDCoV-infected mice. The essential roles of these two mutations for PDCoV-adaptive evolution were confirmed by cryo-electron microscope structure model analysis. The evolutionary characteristics of PDCoV among Deltacoronaviruses (δ-CoVs) were further analyzed. δ-CoVs from multiple mammals are closely related based on the phylogenetic analysis. The codon usage analysis demonstrated that similar codon usage patterns were used by most of the mammalian δ-CoVs at the global codon, synonymous codon, and amino acid usage levels. These results may provide more insights into the evolution, host ranges, and cross-species potential of PDCoV.
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Affiliation(s)
- Honglei Zhang
- College of Veterinary Medicine, Henan Agricultural University, Zhengzhou, Henan, China.,Key Laboratory for Animal-derived Food Safety of Henan Province, Zhengzhou, Henan, China
| | - Qingwen Ding
- College of Veterinary Medicine, Henan Agricultural University, Zhengzhou, Henan, China
| | - Jin Yuan
- College of Veterinary Medicine, Henan Agricultural University, Zhengzhou, Henan, China.,Key Laboratory for Animal-derived Food Safety of Henan Province, Zhengzhou, Henan, China
| | - Fangfang Han
- College of Veterinary Medicine, Henan Agricultural University, Zhengzhou, Henan, China
| | - Zhanyong Wei
- College of Veterinary Medicine, Henan Agricultural University, Zhengzhou, Henan, China.,Key Laboratory for Animal-derived Food Safety of Henan Province, Zhengzhou, Henan, China
| | - Hui Hu
- College of Veterinary Medicine, Henan Agricultural University, Zhengzhou, Henan, China.,Key Laboratory for Animal-derived Food Safety of Henan Province, Zhengzhou, Henan, China
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11
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More‐Bayona JA, Ramirez‐Velasquez M, Hause B, Nelson E, Rivera‐Geronimo H. First isolation and whole genome characterization of porcine deltacoronavirus from pigs in Peru. Transbound Emerg Dis 2022; 69:e1561-e1573. [PMID: 35184388 PMCID: PMC9790302 DOI: 10.1111/tbed.14489] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Revised: 02/15/2022] [Accepted: 02/17/2022] [Indexed: 12/30/2022]
Abstract
Porcine deltacoronavirus is a newly emergent enteric pathogen affecting swine farms worldwide. It has been detected in several countries in Europe, Asia and North America; yet, it has not been reported in South America. In November 2019, an enteric disease outbreak in a pig farm located in San Martin, Peru, was reported along with submission of three intestinal samples from pigs who succumbed to the disease. Samples were processed for molecular detection by qRT-PCR, viral isolation and further sequencing analysis. A taqman-based RT-PCR was performed to differentiate among the most relevant swine enteric coronaviruses described to date. All samples were positive to porcine deltacoronavirus with a cycle threshold (Ct) value between 9 and 14, revealing a high viral load, while testing negative to porcine epidemic diarrhea and transmissible gastroenteritis viruses. Following detection, viral isolation was performed using PK-15 and Vero cell lines. After 5 days of inoculation, no cytopathic effect was observed. A second blind passage allowed the observation of cytopathic effect on PK-15 cells, while it remained absent in Vero cells. A fluorescence test using an anti-N monoclonal antibody confirmed viral replication. One sample was processed for whole genome sequencing (WGS). In short, raw reads were imported into CLC genomics and assembled de novo. Out of 479k reads generated from the sample, 436k assembled into a 25,501 bp contig which was 99.5% identical to a reference porcine deltacoronavirus strain from the USA within the North American phylogroup. Yet, there are relevant differences at the nucleotide and amino acid levels compared with previously described porcine deltacoronavirus strains. Altogether, our findings represent the first report of porcine deltacoronavirus in South America, which provides information of its evolutionary origin. Thus, this study offers new insights into the molecular epidemiology of porcine deltacoronavirus infections in the swine industry.
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Affiliation(s)
- Juan A. More‐Bayona
- Laboratory of VirologyFaculty of Veterinary MedicineUniversidad Nacional Mayor de San MarcosLimaPeru
| | - Mercy Ramirez‐Velasquez
- Laboratory of VirologyFaculty of Veterinary MedicineUniversidad Nacional Mayor de San MarcosLimaPeru
| | - Ben Hause
- Cambridge TechnologiesWorthingtonMinnesotaUSA
| | - Eric Nelson
- Department of Veterinary and Biomedical SciencesSouth Dakota State UniversityBrookingsSouth DakotaUSA
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12
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Yan Q, Wu K, Zeng W, Yu S, Li Y, Sun Y, Liu X, Ruan Y, Huang J, Ding H, Yi L, Zhao M, Chen J, Fan S. Historical Evolutionary Dynamics and Phylogeography Analysis of Transmissible Gastroenteritis Virus and Porcine Deltacoronavirus: Findings from 59 Suspected Swine Viral Samples from China. Int J Mol Sci 2022; 23:ijms23179786. [PMID: 36077190 PMCID: PMC9456201 DOI: 10.3390/ijms23179786] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Revised: 08/14/2022] [Accepted: 08/26/2022] [Indexed: 11/16/2022] Open
Abstract
Since the beginning of the 21st century, humans have experienced three coronavirus pandemics, all of which were transmitted to humans via animals. Recent studies have found that porcine deltacoronavirus (PDCoV) can infect humans, so swine enteric coronavirus (SeCoV) may cause harm through cross-species transmission. Transmissible gastroenteritis virus (TGEV) and PDCoV have caused tremendous damage and loss to the pig industry around the world. Therefore, we analyzed the genome sequence data of these two SeCoVs by evolutionary dynamics and phylogeography, revealing the genetic diversity and spatiotemporal distribution characteristics. Maximum likelihood and Bayesian inference analysis showed that TGEV could be divided into two different genotypes, and PDCoV could be divided into four main lineages. Based on the analysis results inferred by phylogeography, we inferred that TGEV might originate from America, PDCoV might originate from Asia, and different migration events had different migration rates. In addition, we also identified positive selection sites of spike protein in TGEV and PDCoV, indicating that the above sites play an essential role in promoting membrane fusion to achieve adaptive evolution. In a word, TGEV and PDCoV are the past and future of SeCoV, and the relatively smooth transmission rate of TGEV and the increasing transmission events of PDCoV are their respective transmission characteristics. Our results provide new insights into the evolutionary characteristics and transmission diversity of these SeCoVs, highlighting the potential for cross-species transmission of SeCoV and the importance of enhanced surveillance and biosecurity measures for SeCoV in the context of the COVID-19 epidemic.
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Affiliation(s)
- Quanhui Yan
- College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou 510642, China
- Key Laboratory of Zoonosis Prevention and Control of Guangdong Province, Guangzhou 510642, China
| | - Keke Wu
- College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou 510642, China
- Key Laboratory of Zoonosis Prevention and Control of Guangdong Province, Guangzhou 510642, China
| | - Weijun Zeng
- College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou 510642, China
- Key Laboratory of Zoonosis Prevention and Control of Guangdong Province, Guangzhou 510642, China
| | - Shu Yu
- College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou 510642, China
- Key Laboratory of Zoonosis Prevention and Control of Guangdong Province, Guangzhou 510642, China
| | - Yuwan Li
- College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou 510642, China
- Key Laboratory of Zoonosis Prevention and Control of Guangdong Province, Guangzhou 510642, China
| | - Yawei Sun
- College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou 510642, China
- Key Laboratory of Zoonosis Prevention and Control of Guangdong Province, Guangzhou 510642, China
| | - Xiaodi Liu
- College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou 510642, China
- Key Laboratory of Zoonosis Prevention and Control of Guangdong Province, Guangzhou 510642, China
| | - Yang Ruan
- College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou 510642, China
- Key Laboratory of Zoonosis Prevention and Control of Guangdong Province, Guangzhou 510642, China
| | - Juncong Huang
- College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou 510642, China
- Key Laboratory of Zoonosis Prevention and Control of Guangdong Province, Guangzhou 510642, China
| | - Hongxing Ding
- College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou 510642, China
- Key Laboratory of Zoonosis Prevention and Control of Guangdong Province, Guangzhou 510642, China
| | - Lin Yi
- College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou 510642, China
- Key Laboratory of Zoonosis Prevention and Control of Guangdong Province, Guangzhou 510642, China
| | - Mingqiu Zhao
- College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou 510642, China
- Key Laboratory of Zoonosis Prevention and Control of Guangdong Province, Guangzhou 510642, China
| | - Jinding Chen
- College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou 510642, China
- Key Laboratory of Zoonosis Prevention and Control of Guangdong Province, Guangzhou 510642, China
- Correspondence: (J.C.); (S.F.); Tel.: +86-20-8528-8017 (J.C.); +86-20-8528-8017 (S.F.)
| | - Shuangqi Fan
- College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China
- Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou 510642, China
- Key Laboratory of Zoonosis Prevention and Control of Guangdong Province, Guangzhou 510642, China
- Correspondence: (J.C.); (S.F.); Tel.: +86-20-8528-8017 (J.C.); +86-20-8528-8017 (S.F.)
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13
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Development of a Nucleocapsid Protein-Based Blocking ELISA for the Detection of Porcine Deltacoronavirus Antibodies. Viruses 2022; 14:v14081815. [PMID: 36016437 PMCID: PMC9412986 DOI: 10.3390/v14081815] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Revised: 08/06/2022] [Accepted: 08/17/2022] [Indexed: 11/20/2022] Open
Abstract
Porcine deltacoronavirus (PDCoV) is an emerging enteropathogen which mainly causes diarrhea, dehydration and death in nursing piglets, threatening the global swine industry. Moreover, it can infect multiple animal species and humans. Hence, reliable diagnostic assays are needed to better control this zoonotic pathogen. Here, a blocking ELISA was developed using a recombinant nucleocapsid (N) protein as the coating antigen paired with an N-specific monoclonal antibody (mAb) as the detection antibody. The percent inhibition (PI) of the ELISA was determined using 384 swine serum samples, with an indirect immunofluorescence assay (IFA) as the reference method. Through receiver operating characteristic analysis in conjunction with Youden’s index, the optimal PI cut-off value was determined to be 51.65%, which corresponded to a diagnostic sensitivity of 98.79% and a diagnostic specificity of 100%. Of the 330 serum samples tested positive via IFA, 326 and 4 were tested positive and negative via the ELISA, respectively, while the 54 serum samples tested negative via IFA were all negative via the ELISA. The overall coincidence rate between the two assays was 98.96% (380/384). The ELISA exhibited good repeatability and did not cross-react with antisera against other swine pathogens. Overall, this is the first report on developing a blocking ELISA for PDCoV serodiagnosis.
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14
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Yen L, Magtoto R, Mora-Díaz JC, Carrillo-Ávila JA, Zhang J, Cheng TY, Magtoto P, Nelli RK, Baum DH, Zimmerman JJ, Giménez-Lirola LG. The N-terminal Subunit of the Porcine Deltacoronavirus Spike Recombinant Protein (S1) Does Not Serologically Cross-react with Other Porcine Coronaviruses. Pathogens 2022; 11:pathogens11080910. [PMID: 36015031 PMCID: PMC9414728 DOI: 10.3390/pathogens11080910] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Revised: 08/08/2022] [Accepted: 08/11/2022] [Indexed: 11/16/2022] Open
Abstract
Porcine deltacoronavirus (PDCoV), belonging to family Coronaviridae and genus Deltacoronavirus, is a major enteric pathogen in swine. Accurate PDCoV diagnosis relying on laboratory testing and antibody detection is an important approach. This study evaluated the potential of the receptor-binding subunit of the PDCoV spike protein (S1), generated using a mammalian expression system, for specific antibody detection via indirect enzyme-linked immunosorbent assay (ELISA). Serum samples were collected at day post-inoculation (DPI) −7 to 42, from pigs (n = 83) experimentally inoculated with different porcine coronaviruses (PorCoV). The diagnostic sensitivity of the PDCoV S1-based ELISA was evaluated using serum samples (n = 72) from PDCoV-inoculated animals. The diagnostic specificity and potential cross-reactivity of the assay was evaluated on PorCoV-negative samples (n = 345) and samples collected from pigs experimentally inoculated with other PorCoVs (n = 472). The overall diagnostic performance, time of detection, and detection rate over time varied across different S/P cut-offs, estimated by Receiver Operating Characteristic (ROC) curve analysis. The higher detection rate in the PDCoV group was observed after DPI 21. An S/P cut-off of 0.25 provided 100% specificity with no serological cross-reactivity against other PorCoV. These results support the use of S1 protein-based ELISA for accurate detection of PDCoV infections, transference of maternal antibodies, or active surveillance.
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Affiliation(s)
- Lu Yen
- Department of Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames, IA 50011, USA
| | - Ronaldo Magtoto
- Department of Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames, IA 50011, USA
| | - Juan Carlos Mora-Díaz
- Department of Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames, IA 50011, USA
| | | | - Jianqiang Zhang
- Department of Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames, IA 50011, USA
| | - Ting-Yu Cheng
- Department of Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames, IA 50011, USA
- Department of Veterinary Preventive Medicine, College of Veterinary Medicine, Ohio State University, Columbus, OH 43210, USA
| | - Precy Magtoto
- Department of Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames, IA 50011, USA
- College of Veterinary Medicine, Pampanga State Agricultural University, Pampanga 2011, Philippines
| | - Rahul K. Nelli
- Department of Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames, IA 50011, USA
| | - David H. Baum
- Department of Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames, IA 50011, USA
| | - Jeffrey J. Zimmerman
- Department of Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames, IA 50011, USA
| | - Luis G. Giménez-Lirola
- Department of Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University, Ames, IA 50011, USA
- Correspondence:
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15
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Blázquez E, Pujols J, Segalés J, Rodríguez C, Campbell J, Russell L, Polo J. Estimated quantity of swine virus genomes based on quantitative PCR analysis in spray-dried porcine plasma samples collected from multiple manufacturing plants. PLoS One 2022; 17:e0259613. [PMID: 35604901 PMCID: PMC9126402 DOI: 10.1371/journal.pone.0259613] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2021] [Accepted: 04/05/2022] [Indexed: 12/04/2022] Open
Abstract
This survey was conducted to estimate the incidence and level of potential viral contamination in commercially collected porcine plasma. Samples of spray dried porcine plasma (SDPP) were collected over a 12- month period from eight spray drying facilities in Spain, England, Northern Ireland, Brazil, Canada, and the United States. In this survey, viral load for several porcine pathogens including SVA, TGEV, PRRSV (EU and US strains), PEDV, PCV-2, SIV, SDCoV and PPV were determined by qPCR. Regression of Ct on TCID50 of serial diluted stock solution of each virus allowed the estimate of potential viral level in SDPP and unprocessed liquid plasma (using typical solids content of commercially collected porcine plasma). In this survey SVA, TGEV or SDCoV were not detected in any of the SDPP samples. Brazil SDPP samples were free of PRRSV and PEDV. Samples of SDPP from North America primarily contained the PRRSV-US strain while the European samples contained the PRRSV-EU strain (except for one sample from each region containing a relatively low estimated level of the alternative PRRSV strain). Estimated viral level tended to be in the range from <1.0 log10 TCID50 to <2.5 log10 TCID50. Estimated level of SIV was the exception with a very low incidence rate but higher estimated viral load <3.9 log10 TCID50. In summary, the incidence of potential viral contamination in commercially collected porcine plasma was variable and estimated virus level in samples containing viral DNA/RNA was relatively low compared with that occurring at the peak viremia during an infection for all viruses or when considering the minimal infectious dose for each of them.
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Affiliation(s)
- Elena Blázquez
- IRTA, Centre de Recerca en Sanitat Animal (CReSA-IRTA), Bellaterra, Barcelona, Spain
- APC EUROPE S.L.U., Granollers, Barcelona, Spain
- OIE Collaborating Centre for the Research and Control of Emerging and Reemerging Swine Diseases in Europe (IRTA-CReSA), Bellaterra, Barcelona, Spain
| | - Joan Pujols
- IRTA, Centre de Recerca en Sanitat Animal (CReSA-IRTA), Bellaterra, Barcelona, Spain
- OIE Collaborating Centre for the Research and Control of Emerging and Reemerging Swine Diseases in Europe (IRTA-CReSA), Bellaterra, Barcelona, Spain
| | - Joaquim Segalés
- OIE Collaborating Centre for the Research and Control of Emerging and Reemerging Swine Diseases in Europe (IRTA-CReSA), Bellaterra, Barcelona, Spain
- Departament de Sanitat i Anatomia Animals, Universitat Autònoma de Barcelona (UAB), Bellaterra, Barcelona, Spain
- UAB, Centre de Recerca en Sanitat Animal (CReSA, IRTA-UAB), Campus de la Universitat Autònoma de Barcelona, Bellaterra, Barcelona, Spain
| | | | | | | | - Javier Polo
- APC EUROPE S.L.U., Granollers, Barcelona, Spain
- APC LLC, Ankeny, Iowa, United States of America
- * E-mail:
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16
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Li G, Zhai SL, Zhou X, Chen TB, Niu JW, Xie YS, Si GB, Cong F, Chen RA, He DS. Phylogeography and evolutionary dynamics analysis of porcine delta-coronavirus with host expansion to humans. Transbound Emerg Dis 2022; 69:e1670-e1681. [PMID: 35243794 DOI: 10.1111/tbed.14503] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2021] [Revised: 02/15/2022] [Accepted: 02/22/2022] [Indexed: 11/30/2022]
Abstract
From 2003 onwards, three pandemics have been caused by coronaviruses: severe acute respiratory syndrome coronavirus (SARS-CoV); middle east respiratory syndrome coronavirus (MERS-CoV); and, most recently, SARS-CoV-2. Notably, all three were transmitted from animals to humans. This would suggest that animals are potential sources of epidemics for humans. The emerging porcine delta-coronavirus was reported to infect children. This is a red flag that marks the ability of PDCoV to break barriers of cross-species transmission to humans. Therefore, we conducted molecular genetic analysis of global clade PDCoV to characterize spatio-temporal patterns of viral diffusion and genetic diversity. PDCoV was classified into three major lineages, according to distribution and phylogenetic analysis of PDCoV. It can be inferred based on the analysis results of the currently known PDCoV strains that PDCoV might originate in Asia. We also selected six special spike amino acid sequences to align and analyze to find seven significant mutation sites. The accumulation of these mutations may enhance dynamic movements, accelerating spike protein membrane fusion events and transmission. Altogether, our study offers a novel insight into the diversification, evolution, and interspecies transmission and origin of PDCoV and emphasizes the need to study the zoonotic potential of the PDCoV and comprehensive surveillance and enhanced biosecurity precautions for PDCoV. This article is protected by copyright. All rights reserved.
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Affiliation(s)
- Gen Li
- Key Laboratory of Zoonosis Prevention and Control of Guangdong Province, College of Veterinary Medicine, South China Agriculture University, Guangzhou, 510642, China
| | - Shao-Lun Zhai
- Institute of Animal Health, Guangdong Academy of Agricultural Sciences, Scientific Observation and Experiment Station of Veterinary Drugs and Diagnostic Techniques of Guangdong Province, Ministry of Agriculture of Rural Affairs, and Key Laboratory of Animal Disease Prevention of Guangdong Province, Guangzhou, 510640, China
| | - Xia Zhou
- Institute of Animal Health, Guangdong Academy of Agricultural Sciences, Scientific Observation and Experiment Station of Veterinary Drugs and Diagnostic Techniques of Guangdong Province, Ministry of Agriculture of Rural Affairs, and Key Laboratory of Animal Disease Prevention of Guangdong Province, Guangzhou, 510640, China
| | - Tian-Bao Chen
- Key Laboratory of Zoonosis Prevention and Control of Guangdong Province, College of Veterinary Medicine, South China Agriculture University, Guangzhou, 510642, China
| | - Jia-Wei Niu
- Key Laboratory of Zoonosis Prevention and Control of Guangdong Province, College of Veterinary Medicine, South China Agriculture University, Guangzhou, 510642, China
| | - Yong-Sheng Xie
- Key Laboratory of Zoonosis Prevention and Control of Guangdong Province, College of Veterinary Medicine, South China Agriculture University, Guangzhou, 510642, China
| | - Guang-Bin Si
- Key Laboratory of Zoonosis Prevention and Control of Guangdong Province, College of Veterinary Medicine, South China Agriculture University, Guangzhou, 510642, China
| | - Feng Cong
- Guangdong Laboratory Animals Monitoring Institute and Guangdong, Provincial Key Laboratory of Laboratory Animals, Guangzhou, 510633, China
| | - Rui-Ai Chen
- Key Laboratory of Zoonosis Prevention and Control of Guangdong Province, College of Veterinary Medicine, South China Agriculture University, Guangzhou, 510642, China.,Zhaoqing Branch Center of Guangdong Laboratory for Lingnan Modern Agricultural Science and Technology, Zhaoqing, 526238, China
| | - Dong-Sheng He
- Key Laboratory of Zoonosis Prevention and Control of Guangdong Province, College of Veterinary Medicine, South China Agriculture University, Guangzhou, 510642, China.,Zhaoqing Branch Center of Guangdong Laboratory for Lingnan Modern Agricultural Science and Technology, Zhaoqing, 526238, China
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17
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Zhang K, Lin S, Li J, Deng S, Zhang J, Wang S. Modulation of Innate Antiviral Immune Response by Porcine Enteric Coronavirus. Front Microbiol 2022; 13:845137. [PMID: 35237253 PMCID: PMC8882816 DOI: 10.3389/fmicb.2022.845137] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2021] [Accepted: 01/13/2022] [Indexed: 02/04/2023] Open
Abstract
Host’s innate immunity is the front-line defense against viral infections, but some viruses have evolved multiple strategies for evasion of antiviral innate immunity. The porcine enteric coronaviruses (PECs) consist of porcine epidemic diarrhea virus (PEDV), porcine deltacoronavirus (PDCoV), transmissible gastroenteritis coronavirus (TGEV), and swine acute diarrhea syndrome-coronavirus (SADS-CoV), which cause lethal diarrhea in neonatal pigs and threaten the swine industry worldwide. PECs interact with host cells to inhibit and evade innate antiviral immune responses like other coronaviruses. Moreover, the immune escape of porcine enteric coronaviruses is the key pathogenic mechanism causing infection. Here, we review the most recent advances in the interactions between viral and host’s factors, focusing on the mechanisms by which viral components antagonize interferon (IFN)-mediated innate antiviral immune responses, trying to shed light on new targets and strategies effective for controlling and eliminating porcine enteric coronaviruses.
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18
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Duan C. An Updated Review of Porcine Deltacoronavirus in Terms of Prevalence, Pathogenicity, Pathogenesis and Antiviral Strategy. Front Vet Sci 2022; 8:811187. [PMID: 35097055 PMCID: PMC8792470 DOI: 10.3389/fvets.2021.811187] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2021] [Accepted: 12/22/2021] [Indexed: 01/01/2023] Open
Abstract
The recent experience with SARS-COV-2 has raised our alarm about the cross-species transmissibility of coronaviruses and the emergence of new coronaviruses. Knowledge of this family of viruses needs to be constantly updated. Porcine deltacoronavirus (PDCoV), a newly emerging member of the genus Deltacoronavirus in the family Coronaviridae, is a swine enteropathogen that causes diarrhea in pigs and may lead to death in severe cases. Since PDCoV diarrhea first broke out in the United States in early 2014, PDCoV has been detected in many countries, such as South Korea, Japan and China. More importantly, PDCoV can also infect species other than pigs, and infections have even been reported in children, highlighting its potential for cross-species transmission. A thorough and systematic knowledge of the epidemiology and pathogenesis of PDCoV will not only help us control PDCoV infection, but also enable us to discover the common cellular pathways and key factors of coronaviruses. In this review, we summarize the current knowledge on the prevalence, pathogenicity and infection dynamics, pathogenesis and immune evasion strategies of PDCoV. The existing anti-PDCoV strategies and corresponding mechanisms of PDCoV infection are also introduced, aiming to provide suggestions for the prevention and treatment of PDCoV and zoonotic diseases.
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19
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Zhao Y, Xiao D, Zhang L, Song D, Chen R, Li S, Liao Y, Wen Y, Liu W, Yu E, Wen Y, Wu R, Zhao Q, Du S, Wen X, Cao S, Huang X. HSP90 inhibitors 17-AAG and VER-82576 inhibit porcine deltacoronavirus replication in vitro. Vet Microbiol 2021; 265:109316. [PMID: 34954542 DOI: 10.1016/j.vetmic.2021.109316] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2021] [Revised: 12/14/2021] [Accepted: 12/19/2021] [Indexed: 12/13/2022]
Abstract
Porcine deltacoronavirus (PDCoV) is highly pathogenic to piglets, and no specific drugs or vaccines are available for the prevention and treatment of PDCoV infection, the need for antiviral therapies is pressing. HSP90 inhibitors have potent inhibitory effects against the replication of numerous viruses, hence we evaluated three HSP90 inhibitors, 17-AAG, VER-82576, and KW-2478, for their effects on PDCoV infection in vitro. We evaluated their effectivenesses at suppressing PDCoV by qRT-PCR, western blot, and TCID50 assay, and found that 17-AAG and VER-82576 inhibited PDCoV at the early stage of replication, while KW-2478 showed no significant antiviral activity at any stage of infection. These results indicated that the PDCoV-inhibitory effects of 17-AAG and VER-82576 might be exerted by targeting host cell factor HSP90AB1 but not HSP90AA1. Further study showed that HSP90AB1 mRNA and protein levels were not significantly different in 17-AAG and VER-82576-treated cells versus control cells. 17-AAG and VER-82576 were also evaluated for their effects on the expressions of TNF-α, IL-6, and IL-12, which are PDCoV-induced proinflammatory cytokines. We found that both 17-AAG and VER-82576 inhibited the expressions of TNF-α, IL-6, and IL-12 to varying degrees, but in a dose dependent manner. From our data we can conclude that the HSP90 inhibitors 17-AAG and VER-82576 are promising candidates for the treatment of PDCoV infection.
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Affiliation(s)
- Yujia Zhao
- Research Center for Swine Diseases, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, 611130, China.
| | - Dai Xiao
- Research Center for Swine Diseases, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, 611130, China.
| | - Luwen Zhang
- Research Center for Swine Diseases, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, 611130, China.
| | - Daili Song
- Research Center for Swine Diseases, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, 611130, China.
| | - Rui Chen
- Research Center for Swine Diseases, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, 611130, China.
| | - Shiqian Li
- Research Center for Swine Diseases, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, 611130, China.
| | - Yijie Liao
- Research Center for Swine Diseases, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, 611130, China.
| | - Yimin Wen
- Research Center for Swine Diseases, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, 611130, China.
| | - Weizhe Liu
- Research Center for Swine Diseases, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, 611130, China.
| | - Enbo Yu
- Research Center for Swine Diseases, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, 611130, China.
| | - Yiping Wen
- Research Center for Swine Diseases, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, 611130, China.
| | - Rui Wu
- Research Center for Swine Diseases, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, 611130, China.
| | - Qin Zhao
- Research Center for Swine Diseases, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, 611130, China.
| | - Senyan Du
- Research Center for Swine Diseases, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, 611130, China.
| | - Xintian Wen
- Research Center for Swine Diseases, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, 611130, China.
| | - Sanjie Cao
- Research Center for Swine Diseases, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, 611130, China; Sichuan Science-observation Experiment Station for Veterinary Drugs and Veterinary Diagnostic Technology, Ministry of Agriculture, Chengdu, 611130, China; National Animal Experiments Teaching Demonstration Center, Sichuan Agricultural University, Chengdu, 611130, China.
| | - Xiaobo Huang
- Research Center for Swine Diseases, College of Veterinary Medicine, Sichuan Agricultural University, Chengdu, 611130, China; Sichuan Science-observation Experiment Station for Veterinary Drugs and Veterinary Diagnostic Technology, Ministry of Agriculture, Chengdu, 611130, China; National Animal Experiments Teaching Demonstration Center, Sichuan Agricultural University, Chengdu, 611130, China.
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20
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Hsueh FC, Wu CN, Lin MYC, Hsu FY, Lin CF, Chang HW, Lin JH, Liu HF, Chiou MT, Chan KR, Lin CN. Phylodynamic analysis and spike protein mutations in porcine deltacoronavirus with a new variant introduction in Taiwan. Virus Evol 2021; 7:veab096. [PMID: 34858636 PMCID: PMC8634457 DOI: 10.1093/ve/veab096] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2021] [Revised: 11/08/2021] [Accepted: 11/23/2021] [Indexed: 11/12/2022] Open
Abstract
Porcine deltacoronavirus (PDCoV) is a highly transmissible intestinal pathogen that causes mild to severe clinical symptoms, such as anorexia, vomiting, and watery diarrhea in pigs. By comparing the genetic sequences of the spike glycoprotein between historical and current Taiwanese PDCoV strains, we identified a novel PDCoV variant that displaced the PDCoV responsible for the 2015 epidemic. This PDCoV variant belongs to a young population within the US lineage, and infected pigs carry high concentrations of the virus. It also has several critical point mutations and an amino acid insertion at position 52 that may enhance the affinity between the B-cell epitopes located in the N-terminal domain with its complementarity regions, consequently facilitating binding or penetration between the fusion peptide and cellular membrane. Furthermore, viral protein structure prediction demonstrated that these amino acid changes may change the ability of the virus to bind to the receptor, which may consequently alter virus infectivity. Our results hence suggest the emergence of new PDCoV strains in Taiwan with the potential for greater transmission and pathogenesis.
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Affiliation(s)
- Fu-Chun Hsueh
- Animal Disease Diagnostic Center, College of Veterinary Medicine, National Pingtung University of Scienceand Technology, Pingtung 912301, Taiwan
| | - Cheng-Nan Wu
- Department of Medical Laboratory Science and Biotechnology, Central Taiwan University of Science and Technology, Taichung 406053, Taiwan
| | | | - Feng-Yang Hsu
- Animal Disease Diagnostic Center, College of Veterinary Medicine, National Pingtung University of Scienceand Technology, Pingtung 912301, Taiwan
| | - Chuen-Fu Lin
- Animal Disease Diagnostic Center, College of Veterinary Medicine, National Pingtung University of Scienceand Technology, Pingtung 912301, Taiwan
| | - Hui-Wen Chang
- Graduate Institute of Molecular and Comparative Pathobiology, School of Veterinary Medicine, National Taiwan University, Taipei 10617, Taiwan
| | - Jih-Hui Lin
- Center for Diagnostics and Vaccine Development, Centers for Disease Control, Taipei 11561, Taiwan
| | - Hsin-Fu Liu
- Department of Medical Research, Mackay Memorial Hospital, Taipei 10449, Taiwan
| | - Ming-Tang Chiou
- Animal Disease Diagnostic Center, College of Veterinary Medicine, National Pingtung University of Scienceand Technology, Pingtung 912301, Taiwan
| | - Kuan Rong Chan
- Program in Emerging Infectious Diseases, Duke-NUS Graduate Medical School, Singapore 169857, Singapore
| | - Chao-Nan Lin
- Animal Disease Diagnostic Center, College of Veterinary Medicine, National Pingtung University of Scienceand Technology, Pingtung 912301, Taiwan
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21
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Development of a Novel Double Antibody Sandwich ELISA for Quantitative Detection of Porcine Deltacoronavirus Antigen. Viruses 2021; 13:v13122403. [PMID: 34960672 PMCID: PMC8703818 DOI: 10.3390/v13122403] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2021] [Revised: 11/22/2021] [Accepted: 11/23/2021] [Indexed: 01/13/2023] Open
Abstract
Porcine deltacoronavirus (PDCoV) can cause diarrhea and dehydration in newborn piglets. Here, we developed a double antibody sandwich quantitative enzyme-linked immunosorbent assay (DAS-ELISA) for detection of PDCoV by using a specific monoclonal antibody against the PDCoV N protein and an anti-PDCoV rabbit polyclonal antibody. Using DAS-ELISA, the detection limit of recombinant PDCoV N protein and virus titer were approximately 0.5 ng/mL and 103.0 TCID50/mL, respectively. A total of 59 intestinal and 205 fecal samples were screened for the presence of PDCoV by using DAS-ELISA and reverse transcriptase real-time PCR (RT-qPCR). The coincidence rate of the DAS-ELISA and RT-qPCR was 89.8%. DAS-ELISA had a sensitivity of 80.8% and specificity of 95.6%. More importantly, the DAS-ELISA could detect the antigen of PDCoV inactivated virus, and the viral antigen concentrations remained unchanged in the inactivated virus. These results suggest that DAS-ELISA could be used for antigen detection of clinical samples and inactivated vaccines. It is a novel method for detecting PDCoV infections and evaluating the PDCoV vaccine.
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22
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Tang P, Cui E, Song Y, Yan R, Wang J. Porcine deltacoronavirus and its prevalence in China: a review of epidemiology, evolution, and vaccine development. Arch Virol 2021; 166:2975-2988. [PMID: 34524535 PMCID: PMC8440736 DOI: 10.1007/s00705-021-05226-4] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2021] [Accepted: 07/16/2021] [Indexed: 11/29/2022]
Abstract
Porcine deltacoronavirus (PDCoV) is one of the most important enteropathogenic pathogens, and it causes enormous economic losses to the global commercial pork industry. PDCoV was initially reported in Hong Kong (China) in 2012 and subsequently emerged in swine herds with diarrhea in Ohio (USA) in 2014. Since then, it has spread to Canada, South Korea, mainland China, and several Southeast Asian countries. Information about the epidemiology, evolution, prevention, and control of PDCoV and its prevalence in China has not been comprehensively reported, especially in the last five years. This review is an update of current information on the general characteristics, epidemiology, geographical distribution, and evolutionary relationships, and the status of PDCoV vaccine development, focusing on the prevalence of PDCoV in China and vaccine research in particular. Together, this information will provide us with a greater understanding of PDCoV infection and will be helpful for establishing new strategies for controlling this virus worldwide.
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Affiliation(s)
- Pan Tang
- College of Veterinary Medicine, Northwest A&F University, Yangling, China
| | - Enhui Cui
- College of Veterinary Medicine, Northwest A&F University, Yangling, China
| | - Yihong Song
- College of Veterinary Medicine, Northwest A&F University, Yangling, China
| | - Ruoqian Yan
- Henan Centre for Animal Diseases Control and Prevention, Zhengzhou, China.
| | - Jingyu Wang
- College of Veterinary Medicine, Northwest A&F University, Yangling, China.
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23
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Phylogenetic Classification of Global Porcine Deltacoronavirus (PDCoV) Reference Strains and Molecular Characterization of PDCoV in Taiwan. Viruses 2021; 13:v13071337. [PMID: 34372544 PMCID: PMC8310012 DOI: 10.3390/v13071337] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2021] [Revised: 07/05/2021] [Accepted: 07/10/2021] [Indexed: 11/17/2022] Open
Abstract
Porcine deltacoronavirus (PDCoV), a highly transmissible intestinal pathogen, causes mild to severe clinical symptoms, such as anorexia, vomiting and watery diarrhea, in piglets and/or sows. Since the first report of PDCoV infection in Hong Kong in 2012, the virus has readily disseminated to North America and several countries in Asia. However, to date, no unified phylogenetic classification system has been developed. To fill this gap, we classified historical PDCoV reference strains into two major genogroups (G-I and G-II) and three subgroups (G-II-a, G-II-b and G-II-c). In addition, no genetic research on the whole PDCoV genome or spike gene has been conducted on isolates from Taiwan so far. To delineate the genetic characteristics of Taiwanese PDCoV, we performed whole-genome sequencing to decode the viral sequence. The PDCoV/104-553/TW-2015 strain is closely related to the G-II-b group, which is mainly composed of PDCoV variants from China. Additionally, various mutations in the Taiwanese PDCoV (104-553/TW-2015) strain might be linked to the probability of recombination with other genogroups of PDCoVs or other porcine coronaviruses. These results represent a pioneering phylogenetic characterization of the whole genome of a PDCoV strain isolated in Taiwan in 2015 and will potentially facilitate the development of applicable preventive strategies against this problematic virus.
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24
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Zhang H, Han F, Shu X, Li Q, Ding Q, Hao C, Yan X, Xu M, Hu H. Co-infection of porcine epidemic diarrhoea virus and porcine deltacoronavirus enhances the disease severity in piglets. Transbound Emerg Dis 2021; 69:1715-1726. [PMID: 33960702 DOI: 10.1111/tbed.14144] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2021] [Revised: 04/08/2021] [Accepted: 04/30/2021] [Indexed: 12/14/2022]
Abstract
Porcine epidemic diarrhoea virus (PEDV) and porcine deltacoronavirus (PDCoV) are the main enteric coronaviruses that cause acute diarrhoea and dehydration in pigs. The co-infection of PDCoV and PEDV is common in natural swine infections, but the clinical outcomes of the interaction between the co-circulating PDCoV and PEDV are unknown. In current study, we established a co-infection model by inoculating the cell culture-adapted PDCoV HNZK-02 strain and PEDV CV777 simultaneously or sequentially using 4-day-old piglets. The weight loss, clinical scores, viral load and titre, histopathological changes and serum cytokines expression were compared with piglets challenged by either virus. Our results indicated the piglets co-inoculated with PDCoV and PEDV showed more serious diarrhoeal symptoms, mainly characterized by longer diarrhoeal period when compared to those of the mono-infection piglets. Furthermore, we observed that PEDV could promote PDCoV replication in the co-inoculated piglets with evidence of prolonged faecal viral shedding, high viral titres in faeces and intestine tissues. Histological analysis indicated the co-infected piglets showed more extensive and serious pathological lesions in small intestine tissues than the mono-infection piglets. Our data also suggested that the co-infection of PDCoV and PEDV caused the excessive expression of pro-inflammatory cytokines (IL-6, IL-8 and TNF-α) in serum. These results proved there existed obvious synergistic pathogenic effects between PDCoV and PEDV co-infection, which provided new insights into the synergistic pathogenic mechanism caused by these two porcine coronaviruses.
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Affiliation(s)
- Honglei Zhang
- College of Veterinary Medicine, Henan Agricultural University, Zhengzhou, China.,Key Laboratory for Animal-derived Food Safety of Henan Province, Zhengzhou, China
| | - Fangfang Han
- College of Veterinary Medicine, Henan Agricultural University, Zhengzhou, China
| | - Xiangli Shu
- College of Veterinary Medicine, Henan Agricultural University, Zhengzhou, China
| | - Qianqian Li
- College of Veterinary Medicine, Henan Agricultural University, Zhengzhou, China
| | - Qingwen Ding
- College of Veterinary Medicine, Henan Agricultural University, Zhengzhou, China
| | - Chenlin Hao
- College of Veterinary Medicine, Henan Agricultural University, Zhengzhou, China
| | - Xiaoguang Yan
- College of Veterinary Medicine, Henan Agricultural University, Zhengzhou, China
| | - Menglong Xu
- College of Veterinary Medicine, Henan Agricultural University, Zhengzhou, China
| | - Hui Hu
- College of Veterinary Medicine, Henan Agricultural University, Zhengzhou, China.,Key Laboratory for Animal-derived Food Safety of Henan Province, Zhengzhou, China
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25
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Jeon JH, Lee C. Stress-activated protein kinases are involved in the replication of porcine deltacoronavirus. Virology 2021; 559:196-209. [PMID: 33964685 DOI: 10.1016/j.virol.2021.04.007] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2021] [Revised: 04/27/2021] [Accepted: 04/27/2021] [Indexed: 11/30/2022]
Abstract
This study was conducted to examine the role of stress-activated protein kinases (SAPKs), including c-Jun NH2-terminal kinases (JNK1/2) and p38 mitogen-activated protein kinase (MAPK), in porcine deltacoronavirus (PDCoV) infection. Results demonstrated the activation of JNK1/2 and p38 MAPK in PDCoV-infected cells, which occurred concomitant with viral biosynthesis and irrespective of cell type. Pharmacological inhibition or knockdown of either SAPK significantly attenuated PDCoV replication, whereas addition of a signaling activator augmented virus infectivity. Moreover, pharmacological inhibition of JNK1/2 or p38 MAPK activation was innocuous to viral entry but significantly detrimental to post uncoating stages of the replication cycle. Remarkably, cytokine gene expression in PDCoV-infected IPEC-J2 cells was modified by inhibiting the activation of either SAPK. Collectively, these data indicate that JNK1/2 and p38 MAPK signaling pathways contribute to viral biosynthesis and regulate immune responses, thereby favoring the replication of PDCoV.
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Affiliation(s)
- Ji Hyun Jeon
- Animal Virology Laboratory, School of Life Sciences, BK21 FOUR KNU Creative BioResearch Group, Kyungpook National University, Daegu, 702-701, Republic of Korea
| | - Changhee Lee
- Animal Virology Laboratory, School of Life Sciences, BK21 FOUR KNU Creative BioResearch Group, Kyungpook National University, Daegu, 702-701, Republic of Korea.
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26
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Khamassi Khbou M, Daaloul Jedidi M, Bouaicha Zaafouri F, Benzarti M. Coronaviruses in farm animals: Epidemiology and public health implications. Vet Med Sci 2021; 7:322-347. [PMID: 32976707 PMCID: PMC7537542 DOI: 10.1002/vms3.359] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2020] [Revised: 08/27/2020] [Accepted: 08/29/2020] [Indexed: 12/12/2022] Open
Abstract
Coronaviruses (CoVs) are documented in a wide range of animal species, including terrestrial and aquatic, domestic and wild. The geographic distribution of animal CoVs is worldwide and prevalences were reported in several countries across the five continents. The viruses are known to cause mainly gastrointestinal and respiratory diseases with different severity levels. In certain cases, CoV infections are responsible of huge economic losses associated or not to highly public health impact. Despite being enveloped, CoVs are relatively resistant pathogens in the environment. Coronaviruses are characterized by a high mutation and recombination rate, which makes host jumping and cross-species transmission easy. In fact, increasing contact between different animal species fosters cross-species transmission, while agriculture intensification, animal trade and herd management are key drivers at the human-animal interface. If contacts with wild animals are still limited, humans have much more contact with farm animals, during breeding, transport, slaughter and food process, making CoVs a persistent threat to both humans and animals. A global network should be established for the surveillance and monitoring of animal CoVs.
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Affiliation(s)
- Médiha Khamassi Khbou
- Laboratory of Infectious Animal Diseases, Zoonoses, and Sanitary RegulationUniv. Manouba. Ecole Nationale de Médecine Vétérinaire de Sidi ThabetSidi ThabetTunisia
| | - Monia Daaloul Jedidi
- Laboratory of Microbiology and ImmunologyUniv. ManoubaEcole Nationale de Médecine Vétérinaire de Sidi ThabetSidi ThabetTunisia
| | - Faten Bouaicha Zaafouri
- Department of Livestock Semiology and MedicineUniv. ManoubaEcole Nationale de Médecine Vétérinaire de Sidi ThabetSidi ThabetTunisia
| | - M’hammed Benzarti
- Laboratory of Infectious Animal Diseases, Zoonoses, and Sanitary RegulationUniv. Manouba. Ecole Nationale de Médecine Vétérinaire de Sidi ThabetSidi ThabetTunisia
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27
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Melmer DJ, O'Sullivan TL, Greer A, Moser L, Ojkic D, Friendship R, Novosel D, Poljak Z. The impact of porcine reproductive and respiratory syndrome virus (PRRSV) genotypes, established on the basis of ORF-5 nucleotide sequences, on three production parameters in Ontario sow farms. Prev Vet Med 2021; 189:105312. [PMID: 33676324 DOI: 10.1016/j.prevetmed.2021.105312] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2020] [Revised: 01/18/2021] [Accepted: 02/20/2021] [Indexed: 10/22/2022]
Abstract
The porcine reproductive and respiratory syndrome virus (PRRSV) is an enveloped RNA virus, with high mutation rates and genetic variability; which is evident by the large number of discrete strains that co-circulate in swine populations. Veterinary practitioners frequently identify certain discrete PRRSV strains as having a higher clinical impact on production. However, with exception of a few strains, production impact is not well characterized for the majority of PRRSV variants. Predictive analytics, coupled with routine diagnostic sequencing of PRRSV, provide opportunities to study the clinical impact of discrete PRRSV strains on production. Thus, the primary objective of this research was to evaluate clinical impact of discrete PRRSV clades observed in Ontario sow farms. PRRS viruses were classified into discrete clades using Bayesian analysis of the nucleotide sequences of the ORF-5 region of the genome. Production data were gathered through veterinary clinics from herds participating in the ongoing PRRSV surveillance system. Data about pre-weaning mortality, sow mortality, and abortion rates were measured up to 8 weeks post initial PRRSV outbreak. Through conventional regression analysis, results support that clinical impact of the viruses varied among clades over time for abortion rate (p = 0.05) and pre-weaning mortality (p < 0.01). Using predictive modelling approaches based on grouped K-fold cross-validation, it was identified that PRRSV clade designations and other measured factors showed low predictive performance for abortion (R2 = 0.07), pre-weaning mortality (R2 = 0.09), and sow mortality (R2 = 0.04). Clade designation consistently showed moderate importance for abortion and pre-weaning mortality, with clade 2 viruses being identified, on average, as having higher impact. These results demonstrate that the prediction of clinical impact, through production parameters, based on phylogenetic classification of PRRS viruses is possible. However, very high impact outbreaks were difficult to predict across production parameters. More surveillance-derived data are required to continue to improve predictive performance of the models.
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Affiliation(s)
- Dylan John Melmer
- Department of Population Medicine, University of Guelph, ON, N1G 2W1, Canada.
| | - Terri L O'Sullivan
- Department of Population Medicine, University of Guelph, ON, N1G 2W1, Canada
| | - Amy Greer
- Department of Population Medicine, University of Guelph, ON, N1G 2W1, Canada
| | - Lori Moser
- South West Ontario Veterinary Services, Stratford, ON, N4Z 1H3, Canada
| | - Davor Ojkic
- Animal Health Laboratory, University of Guelph, ON, N1G 2W1, Canada
| | - Robert Friendship
- Department of Population Medicine, University of Guelph, ON, N1G 2W1, Canada
| | - Dinko Novosel
- Department of Animal Science, University of Zagreb, Svetošimunska cesta 25, 10000, Zagreb, Croatia
| | - Zvonimir Poljak
- Department of Population Medicine, University of Guelph, ON, N1G 2W1, Canada
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28
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Duan C, Ge X, Wang J, Wei Z, Feng WH, Wang J. Ergosterol peroxide exhibits antiviral and immunomodulatory abilities against porcine deltacoronavirus (PDCoV) via suppression of NF-κB and p38/MAPK signaling pathways in vitro. Int Immunopharmacol 2021; 93:107317. [PMID: 33493866 PMCID: PMC9412180 DOI: 10.1016/j.intimp.2020.107317] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2020] [Revised: 12/10/2020] [Accepted: 12/15/2020] [Indexed: 12/24/2022]
Abstract
Porcine deltacoronavirus (PDCoV) is an emerging swine enteropathogenic coronavirus (CoV) that poses economic and public health burdens. Currently, there are no effective antiviral agents against PDCoV. Cryptoporus volvatus often serves as an antimicrobial agent in Traditional Chinese Medicines. This study aimed to evaluate the antiviral activities of ergosterol peroxide (EP) from C. volvatus against PDCoV infection. The inhibitory activity of EP against PDCoV was assessed by using virus titration and performing Quantitative Reverse transcription PCR (RT-qPCR), Western blotting and immunofluorescence assays in LLC-PK1 cells. The mechanism of EP against PDCoV was analyzed by flow cytometry, RT-qPCR and Western blotting. We found that EP treatment inhibited PDCoV infection in LLC-PK1 cells in a dose-dependent manner. Subsequently, we demonstrated that EP blocked virus attachment and entry using RT-qPCR. Time-of-addition assays indicated that EP mainly exerted its inhibitory effect at the early and middle stages in the PDCoV replication cycle. EP also inactivated PDCoV infectivity directly as well as suppressed PDCoV-induced apoptosis. Furthermore, EP treatment decreased the phosphorylation of IκBα and p38 MAPK induced by PDCoV infection as well as the mRNA levels of cytokines (IL-1β, IL-6, IL-12, TNF-α, IFN-α, IFN-β, Mx1 and PKR). These results imply that EP can inhibit PDCoV infection and regulate host immune responses by downregulating the activation of the NF-κB and p38/MAPK signaling pathways in vitro. EP can be used as a potential candidate for the development of a new anti-PDCoV therapy.
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Affiliation(s)
- Cong Duan
- College of Veterinary Medicine, China Agricultural University, Beijing 100193, China
| | - Xinna Ge
- College of Veterinary Medicine, China Agricultural University, Beijing 100193, China
| | - Junchi Wang
- Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100193, China
| | - Zhanyong Wei
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou 450002, Henan, China
| | - Wen-Hai Feng
- State Key Laboratory for Agrobiotechnology, College of Biological Science, China Agricultural University, Beijing 100193, China.
| | - Jiufeng Wang
- College of Veterinary Medicine, China Agricultural University, Beijing 100193, China.
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Zhou X, Zhou L, Zhang P, Ge X, Guo X, Han J, Zhang Y, Yang H. A strain of porcine deltacoronavirus: Genomic characterization, pathogenicity and its full-length cDNA infectious clone. Transbound Emerg Dis 2020; 68:2130-2146. [PMID: 33012120 DOI: 10.1111/tbed.13862] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2020] [Revised: 09/05/2020] [Accepted: 09/25/2020] [Indexed: 12/31/2022]
Abstract
As a novel enteropathogenic coronavirus, porcine deltacoronavirus (PDCoV) warrants further investigation. In this study, a Chinese PDCoV strain, designated CHN-HN-1601, was isolated from the faeces of a diarrhoeic piglet. After plaque purification, the genome was determined which shared 97.5%-99.5% nucleotide identities with 71 representative PDCoV strains available in the GenBank. The pathogenic properties of CHN-HN-1601 were evaluated using 5-day-old piglets. All inoculated piglets developed severe diarrhoea from 2 days post-infection (dpi) onwards. To our surprise, two periods of diarrhoea starting from 2 to 7 dpi and from 13 to 19 dpi were observed in affected piglets during the experiment. Faecal viral shedding of the inoculated piglets was detected by real-time RT-PCR, with viral shedding peaked at 4 and 16 dpi, respectively. At necropsy at 5 dpi, the main gross lesions included transparent, thin-walled and gas-distended intestines containing yellow watery contents. Further histopathological examinations, including haematoxylin and eosin staining, immunohistochemistry and RNAscope in situ hybridization, revealed that the virus infection caused severe villous atrophy of the small intestines, with PDCoV antigen and RNA mainly distributed in the cytoplasm of the villous epithelial cells of jejunum and ileum in piglets. The dynamic production of PDCoV-specific IgG and neutralizing antibodies in serum of the affected piglets was also assessed using a whole virus-based ELISA and an immunofluorescence assay-based neutralization test, respectively. Furthermore, a full-length cDNA infectious clone of CHN-HN-1601 was constructed using a bacterial artificial chromosome system. The rescued virus exhibited in vitro growth and pathogenic properties similar to the parental virus. Taken together, our study not only enriches the information of PDCoV, but also provides a useful reverse genetics platform for further pathogenesis exploration of the virus.
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Affiliation(s)
- Xinrong Zhou
- Key Laboratory of Animal Epidemiology of Ministry of Agriculture and Rural Affairs, College of Veterinary Medicine, China Agricultural University, Beijing, China
| | - Lei Zhou
- Key Laboratory of Animal Epidemiology of Ministry of Agriculture and Rural Affairs, College of Veterinary Medicine, China Agricultural University, Beijing, China
| | - Pingping Zhang
- Key Laboratory of Animal Epidemiology of Ministry of Agriculture and Rural Affairs, College of Veterinary Medicine, China Agricultural University, Beijing, China
| | - Xinna Ge
- Key Laboratory of Animal Epidemiology of Ministry of Agriculture and Rural Affairs, College of Veterinary Medicine, China Agricultural University, Beijing, China
| | - Xin Guo
- Key Laboratory of Animal Epidemiology of Ministry of Agriculture and Rural Affairs, College of Veterinary Medicine, China Agricultural University, Beijing, China
| | - Jun Han
- Key Laboratory of Animal Epidemiology of Ministry of Agriculture and Rural Affairs, College of Veterinary Medicine, China Agricultural University, Beijing, China
| | - Yongning Zhang
- Key Laboratory of Animal Epidemiology of Ministry of Agriculture and Rural Affairs, College of Veterinary Medicine, China Agricultural University, Beijing, China
| | - Hanchun Yang
- Key Laboratory of Animal Epidemiology of Ministry of Agriculture and Rural Affairs, College of Veterinary Medicine, China Agricultural University, Beijing, China
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30
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Prevalence and phylogenetic analysis of porcine deltacoronavirus in Sichuan province, China. Arch Virol 2020; 165:2883-2889. [PMID: 32892248 PMCID: PMC7474797 DOI: 10.1007/s00705-020-04796-z] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2019] [Accepted: 08/04/2020] [Indexed: 10/25/2022]
Abstract
In order to understand the prevalence and genetic diversity of porcine deltacoronavirus (PDCoV) in diarrhoeal pigs in Sichuan province, 634 clinical samples were collected from individual pigs with diarrhoea in 13 regions of Sichuan province, China, from January 2017 and June 2019. The detection results showed that the infection rate of PDCoV was relatively low in diarrhoeal pigs, 13.25% (84/634), but the infection rate of PEDV (porcine epidemic diarrhea virus) was high, 32.18% (204/634). Coinfection with PEDV was common (55.95%, 47/84) in PDCoV-infected diarrhoeal pigs. Additionally, the chance of PDCoV infection was 2.77 times higher in suckling piglets than in sows, and about 3.30 times higher in spring and winter than in summer. PDCoV/PEDV coinfection was 75% less likely in sows than in suckling piglets. The complete genomes of four Sichuan PDCoV strains were sequenced and analysed. There were some insertion-deletion signatures in the whole genome sequences of four strains, including a 6-nt deletion in the non-structural gene 2 region, a 9-nt insertion in the non-structural gene 3 region, a 3-nt deletion in the S gene region, and a distinguishing 11-nt deletion in the 3'UTR region. Phylogenetic analysis based on complete genome sequences revealed that the PDCoV Sichuan strains were closely related to other Chinese PDCoV reference strains; however, phylogenetic analysis based on S gene sequences showed that the CH/SC/2019 strain clustered in a large clade with strains from the USA, Japan, and Korea. These data advance our understanding of the genetic diversity and evolutionary characteristics of PDCoV in China and may contribute to vaccine development.
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31
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Porcine Deltacoronavirus nsp5 Cleaves DCP1A To Decrease Its Antiviral Activity. J Virol 2020; 94:JVI.02162-19. [PMID: 32461317 DOI: 10.1128/jvi.02162-19] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2019] [Accepted: 05/20/2020] [Indexed: 12/21/2022] Open
Abstract
Porcine deltacoronavirus (PDCoV) is an emerging swine enteropathogenic coronavirus. The nonstructural protein nsp5, also called 3C-like protease, is responsible for processing viral polyprotein precursors in coronavirus (CoV) replication. Previous studies have shown that PDCoV nsp5 cleaves the NF-κB essential modulator and the signal transducer and activator of transcription 2 to disrupt interferon (IFN) production and signaling, respectively. Whether PDCoV nsp5 also cleaves IFN-stimulated genes (ISGs), IFN-induced antiviral effector molecules, remains unclear. In this study, we screened 14 classical ISGs and found that PDCoV nsp5 cleaved the porcine mRNA-decapping enzyme 1a (pDCP1A) through its protease activity. Similar cleavage of endogenous pDCP1A was also observed in PDCoV-infected cells. PDCoV nsp5 cleaved pDCP1A at glutamine 343 (Q343), and the cleaved pDCP1A fragments, pDCP1A1-343 and pDCP1A344-580, were unable to inhibit PDCoV infection. Mutant pDCP1A-Q343A, which resists nsp5-mediated cleavage, exhibited a stronger ability to inhibit PDCoV infection than wild-type pDCP1A. Interestingly, the Q343 cleavage site is highly conserved in DCP1A homologs from other mammalian species. Further analyses demonstrated that nsp5 encoded by seven tested CoVs that can infect human or pig also cleaved pDCP1A and human DCP1A, suggesting that DCP1A may be the common target for cleavage by nsp5 of mammalian CoVs.IMPORTANCE Interferon (IFN)-stimulated gene (ISG) induction through IFN signaling is important to create an antiviral state and usually directly inhibits virus infection. The present study first demonstrated that PDCoV nsp5 can cleave mRNA-decapping enzyme 1a (DCP1A) to attenuate its antiviral activity. Furthermore, cleaving DCP1A is a common characteristic of nsp5 proteins from different coronaviruses (CoVs), which represents a common immune evasion mechanism of CoVs. Previous evidence showed that CoV nsp5 cleaves the NF-κB essential modulator and signal transducer and activator of transcription 2. Taken together, CoV nsp5 is a potent IFN antagonist because it can simultaneously target different aspects of the host IFN system, including IFN production and signaling and effector molecules.
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32
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Huang H, Yin Y, Wang W, Cao L, Sun W, Shi K, Lu H, Jin N. Emergence of Thailand-like strains of porcine deltacoronavirus in Guangxi Province, China. Vet Med Sci 2020; 6:854-859. [PMID: 32419393 PMCID: PMC7738719 DOI: 10.1002/vms3.283] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2019] [Revised: 04/04/2020] [Accepted: 04/25/2020] [Indexed: 01/03/2023] Open
Abstract
Porcine deltacoronavirus (PDCoV) has been detected sporadically in China since its first description in 2012. In our study, 62 faecal and intestinal samples from pigs with diarrhoea were collected in Guangxi Province, China, during 2017 and 2018. Twelve samples (19.4%, 12/62) were positive for PDCoV. Five complete genomes of PDCoV were then determined, and sequence alignment revealed that the five strains had discontinuous deletions at 400–401 aa in non‐structural protein 2 (NSP2) and 758–760 aa in non‐structural protein 3 (NSP3) compared with the respective proteins in the HKU15‐44 strain. Notably, the CHN‐GX81‐2018 strain contained two insertions in the S gene and 3′‐UTR. Multiple sequence alignment and phylogenetic analysis showed that four strains shared 98.2%–98.4% nucleotide identity with CHN‐AH‐2004 and were classified into a new cluster of China lineage strains, whereas the CHN‐GX81‐2018 strain shared 98.7% nucleotide identity with Vietnam/Binh21/2015 and belonged to the Vietnam/Laos/Thailand lineage. Recombination analyses revealed that four strains were the result of recombination between CHN‐HB‐2014 and Vietnam/Binh21/2015 strains. This study demonstrated the co‐existence of multiple lineages of PDCoV in China, and our findings will aid the reorganization and evolution of the virus.
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Affiliation(s)
- Haixin Huang
- Institute of Virology, Wenzhou University, Wenzhou, China.,Institute of Military Veterinary Medicine, Academy of Military Medical Sciences, Changchun, China
| | - Yanwen Yin
- Guangxi Center for Animal Disease Control and Prevention, Nanning, China
| | - Wei Wang
- Institute of Military Veterinary Medicine, Academy of Military Medical Sciences, Changchun, China.,College of Animal Science and Technology, Guangxi University, Nanning, China
| | - Liang Cao
- Institute of Military Veterinary Medicine, Academy of Military Medical Sciences, Changchun, China
| | - Wenchao Sun
- Institute of Virology, Wenzhou University, Wenzhou, China.,Institute of Military Veterinary Medicine, Academy of Military Medical Sciences, Changchun, China
| | - Kaichuang Shi
- Guangxi Center for Animal Disease Control and Prevention, Nanning, China
| | - Huijun Lu
- Institute of Military Veterinary Medicine, Academy of Military Medical Sciences, Changchun, China
| | - Ningyi Jin
- Institute of Virology, Wenzhou University, Wenzhou, China.,Institute of Military Veterinary Medicine, Academy of Military Medical Sciences, Changchun, China
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33
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Luo H, Zheng J, Chen Y, Wang T, Zhang Z, Shan Y, Xu J, Yue M, Fang W, Li X. Utility Evaluation of Porcine Enteroids as PDCoV Infection Model in vitro. Front Microbiol 2020; 11:821. [PMID: 32390999 PMCID: PMC7191032 DOI: 10.3389/fmicb.2020.00821] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2019] [Accepted: 04/06/2020] [Indexed: 12/13/2022] Open
Abstract
Porcine deltacoronavirus (PDCoV) is a novel emerging enteric coronavirus found in pigs. Intestinal enteroids, which partially recreate the structure and function of intestinal villi-crypts, have many physiological similarities to the intestinal tissues in vivo. Enteroids exhibit advantages in studying the interactions between intestines and enteric pathogens. To create a novel infection model for PDCoV, we developed an in vitro system to generate porcine intestinal enteroids from crypts of duodenum, jejunum, and ileum of pigs. Enterocytes, enteroendocrine cells, Paneth cells, stem cells, proliferating cells, and goblet cells were found in the differentiated enteroids. Replication of PDCoV was detected in the cultured enteroids by immunofluorescence and quantitative RT-PCR. Double immunofluorescence labeling demonstrated that PDCoV was present in Sox9-positive intestinal cells and Villin1-positive enterocytes. There were multiple cellular responses shown as changes of transcription of genes related to mucosal immunity, antiviral genes, and marker genes of stem cells and other cells in the enteroids infected with PDCoV. We conclude that the 2-D enteroids derived from porcine jejunum can be used as an in vitro multicellular model for the investigation of pathogenesis and host immune responses to porcine enteric pathogens, such as PDCoV.
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Affiliation(s)
- Hao Luo
- Zhejiang Provincial Key Lab of Preventive Veterinary Medicine, Institute of Preventive Veterinary Medicine, College of Animal Sciences, Zhejiang University, Hangzhou, China
| | - Jingyou Zheng
- Zhejiang Provincial Key Lab of Preventive Veterinary Medicine, Institute of Preventive Veterinary Medicine, College of Animal Sciences, Zhejiang University, Hangzhou, China
| | - Yunlu Chen
- Zhejiang Provincial Key Lab of Preventive Veterinary Medicine, Institute of Preventive Veterinary Medicine, College of Animal Sciences, Zhejiang University, Hangzhou, China
| | - Tingjun Wang
- Zhejiang Provincial Key Lab of Preventive Veterinary Medicine, Institute of Preventive Veterinary Medicine, College of Animal Sciences, Zhejiang University, Hangzhou, China
| | - Zhenning Zhang
- Zhejiang Provincial Key Lab of Preventive Veterinary Medicine, Institute of Preventive Veterinary Medicine, College of Animal Sciences, Zhejiang University, Hangzhou, China
| | - Ying Shan
- Zhejiang Provincial Key Lab of Preventive Veterinary Medicine, Institute of Preventive Veterinary Medicine, College of Animal Sciences, Zhejiang University, Hangzhou, China
| | - Jidong Xu
- Zhejiang Provincial Key Lab of Preventive Veterinary Medicine, Institute of Preventive Veterinary Medicine, College of Animal Sciences, Zhejiang University, Hangzhou, China
| | - Min Yue
- Zhejiang Provincial Key Lab of Preventive Veterinary Medicine, Institute of Preventive Veterinary Medicine, College of Animal Sciences, Zhejiang University, Hangzhou, China
| | - Weihuan Fang
- Zhejiang Provincial Key Lab of Preventive Veterinary Medicine, Institute of Preventive Veterinary Medicine, College of Animal Sciences, Zhejiang University, Hangzhou, China
| | - Xiaoliang Li
- Zhejiang Provincial Key Lab of Preventive Veterinary Medicine, Institute of Preventive Veterinary Medicine, College of Animal Sciences, Zhejiang University, Hangzhou, China
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34
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Liu J, Wang F, Du L, Li J, Yu T, Jin Y, Yan Y, Zhou J, Gu J. Comprehensive Genomic Characterization Analysis of lncRNAs in Cells With Porcine Delta Coronavirus Infection. Front Microbiol 2020; 10:3036. [PMID: 32063887 PMCID: PMC6999024 DOI: 10.3389/fmicb.2019.03036] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2019] [Accepted: 12/17/2019] [Indexed: 11/28/2022] Open
Abstract
Porcine delta coronavirus (PDCoV) is a novel emerging enterocytetropic virus causing diarrhea, vomiting, dehydration, and mortality in suckling piglets. Long non-coding RNAs (lncRNAs) are known to be important regulators during virus infection. Here, we describe a comprehensive transcriptome profile of lncRNA in PDCoV-infected swine testicular (ST) cells. In total, 1,308 annotated and 1,190 novel lncRNA candidate sequences were identified. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis revealed that these lncRNAs might be involved in numerous biological processes. Clustering analysis of differentially expressed lncRNAs showed that 454 annotated and 376 novel lncRNAs were regulated after PDCoV infection. Furthermore, we constructed a lncRNA-protein-coding gene co-expression interaction network. The KEGG analysis of the co-expressed genes showed that these differentially expressed lncRNAs were enriched in pathways related to metabolism and TNF signaling. Our study provided comprehensive information about lncRNAs that would be a useful resource for studying the pathogenesis of and designing antiviral therapy for PDCoV infection.
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Affiliation(s)
- Junli Liu
- MOE International Joint Collaborative Research Laboratory for Animal Health and Food Safety, Institute of Immunology, Nanjing Agricultural University, Nanjing, China
| | - Fangfang Wang
- MOE International Joint Collaborative Research Laboratory for Animal Health and Food Safety, Institute of Immunology, Nanjing Agricultural University, Nanjing, China
| | - Liuyang Du
- MOE International Joint Collaborative Research Laboratory for Animal Health and Food Safety, Institute of Immunology, Nanjing Agricultural University, Nanjing, China
| | - Juan Li
- MOE International Joint Collaborative Research Laboratory for Animal Health and Food Safety, Institute of Immunology, Nanjing Agricultural University, Nanjing, China
| | - Tianqi Yu
- MOE International Joint Collaborative Research Laboratory for Animal Health and Food Safety, Institute of Immunology, Nanjing Agricultural University, Nanjing, China
| | - Yulan Jin
- MOA Key Laboratory of Animal Virology, Department of Veterinary Medicine, Zhejiang University, Hangzhou, China
| | - Yan Yan
- MOA Key Laboratory of Animal Virology, Department of Veterinary Medicine, Zhejiang University, Hangzhou, China
| | - Jiyong Zhou
- MOA Key Laboratory of Animal Virology, Department of Veterinary Medicine, Zhejiang University, Hangzhou, China
| | - Jinyan Gu
- MOE International Joint Collaborative Research Laboratory for Animal Health and Food Safety, Institute of Immunology, Nanjing Agricultural University, Nanjing, China
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35
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Melmer DJ, O’Sullivan TL, Greer AL, Poljak Z. An investigation of transportation practices in an Ontario swine system using descriptive network analysis. PLoS One 2020; 15:e0226813. [PMID: 31923199 PMCID: PMC6953787 DOI: 10.1371/journal.pone.0226813] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2019] [Accepted: 11/20/2019] [Indexed: 11/23/2022] Open
Abstract
The objectives of this research were to describe the contact structure of transportation vehicles and swine facilities in an Ontario swine production system, and to assess their potential contribution to possible disease transmission over different time periods. A years’ worth of data (2015) was obtained from a large swine production and data management company located in Ontario, Canada. There was a total of 155 different transportation vehicles, and 220 different farms within the study population. Two-mode networks were constructed for 1-,3-, and 7-day time periods over the entire year and were analyzed. Trends in the size of the maximum weak component and outgoing contact chain over discrete time periods were investigated using linear regression. Additionally, the number of different types of facilities with betweenness >0 and in/out degree>0 were analyzed using Poisson regression. Maximum weekly outgoing contact chain (MOCCw) contained between 2.1% and 7.1% of the study population. This suggests a potential maximum of disease spread within this population if the disease was detected within one week. Frequency of node types within MOCCw showed considerable variability; although nursery sites were relatively most frequent. The regression analysis of several node and network level statistics indicated a potential peak time of connectivity during the summer months and warrants further confirmation and investigation. The inclusion of transportation vehicles contributed to the linear increase in the maximum weekly weak component (MWCw) size over time. This finding in combination with constant population dynamics, may have been driven by the differential utilization of trucks over time. Despite known limitations of maximum weak components as an estimator of possible outbreaks, this finding suggests that transportation vehicles should be included, when possible and relevant, in the evaluation of contacts between farms.
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Affiliation(s)
- Dylan John Melmer
- Department of Population Medicine, University of Guelph, Guelph, ON, Canada
- * E-mail:
| | | | - Amy L. Greer
- Department of Population Medicine, University of Guelph, Guelph, ON, Canada
| | - Zvonimir Poljak
- Department of Population Medicine, University of Guelph, Guelph, ON, Canada
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36
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Hsueh FC, Lin CN, Chiou HY, Chia MY, Chiou MT, Haga T, Kao CF, Chang YC, Chang CY, Jeng CR, Chang HW. Updated phylogenetic analysis of the spike gene and identification of a novel recombinant porcine epidemic diarrhoea virus strain in Taiwan. Transbound Emerg Dis 2019; 67:417-430. [PMID: 31538715 DOI: 10.1111/tbed.13365] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2019] [Revised: 08/21/2019] [Accepted: 09/10/2019] [Indexed: 11/27/2022]
Abstract
New variants of porcine epidemic diarrhoea virus (PEDV) causing a highly contagious intestinal disease, porcine epidemic diarrhoea virus (PED), have resulted in high mortality in suckling pigs across several countries since 2013. After 2015, the prevalence of the genogroup 2b (G2b) PEDVs decreased in a cyclical pattern with endemic seasonal outbreaks occasionally seen. To better understand the genetic diversity of PEDVs recently circulating in Taiwan, full-length spike (S) genes of 31 PEDV strains from 28 pig farms collected during 2016-2018 were sequenced. While the majority of S gene sequences (from 27/28 farms) were closely related to the previous G2b PEDV strains, increased genetic diversities leading to several nonsynonymous mutations scattering in the neutralizing epitopes of the S gene were detected in PEDVs recently circulating in Taiwan. Furthermore, novel recombinant variants, the PEDV TW/Yunlin550/2018 strains exhibiting recombinant events between a previously isolated Taiwan PEDV G2b strain and a wild-type PEDV G1a strain, were identified and further classified into a new genogroup, G1c. These results provide updated information about the genetic diversity of currently circulating PEDVs in the field and could help to develop more suitable strategies for controlling this disease.
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Affiliation(s)
- Fu-Chun Hsueh
- Graduate Institute of Molecular and Comparative Pathobiology, School of Veterinary Medicine, National Taiwan University, Taipei, Taiwan.,School of Veterinary Medicine, National Taiwan University, Taipei, Taiwan
| | - Chao-Nan Lin
- Department of Veterinary Medicine, College of Veterinary Medicine, National Pingtung University of Science and Technology, Pingtung, Taiwan
| | - Hue-Ying Chiou
- Graduate Institute of Veterinary Pathobiology, College of Veterinary Medicine, National Chung Hsing University, Taichung, Taiwan
| | - Min-Yuan Chia
- College of Veterinary Medicine, National Chung Hsing University, Taichung, Taiwan
| | - Ming-Tang Chiou
- Department of Veterinary Medicine, College of Veterinary Medicine, National Pingtung University of Science and Technology, Pingtung, Taiwan
| | - Takashi Haga
- Division of Infection Control and Disease Prevention, Department of Veterinary Medical Science, Graduate School of Agricultural and Life Sciences, The University of Tokyo, Tokyo, Japan
| | - Chi-Fei Kao
- Graduate Institute of Molecular and Comparative Pathobiology, School of Veterinary Medicine, National Taiwan University, Taipei, Taiwan.,School of Veterinary Medicine, National Taiwan University, Taipei, Taiwan
| | - Yen-Chen Chang
- Graduate Institute of Molecular and Comparative Pathobiology, School of Veterinary Medicine, National Taiwan University, Taipei, Taiwan.,School of Veterinary Medicine, National Taiwan University, Taipei, Taiwan
| | - Chia-Yu Chang
- Graduate Institute of Molecular and Comparative Pathobiology, School of Veterinary Medicine, National Taiwan University, Taipei, Taiwan.,School of Veterinary Medicine, National Taiwan University, Taipei, Taiwan
| | - Chian-Ren Jeng
- Graduate Institute of Molecular and Comparative Pathobiology, School of Veterinary Medicine, National Taiwan University, Taipei, Taiwan.,School of Veterinary Medicine, National Taiwan University, Taipei, Taiwan
| | - Hui-Wen Chang
- Graduate Institute of Molecular and Comparative Pathobiology, School of Veterinary Medicine, National Taiwan University, Taipei, Taiwan.,School of Veterinary Medicine, National Taiwan University, Taipei, Taiwan
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37
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Transcriptome analysis of PK-15 cells in innate immune response to porcine deltacoronavirus infection. PLoS One 2019; 14:e0223177. [PMID: 31574122 PMCID: PMC6773216 DOI: 10.1371/journal.pone.0223177] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2019] [Accepted: 09/16/2019] [Indexed: 11/19/2022] Open
Abstract
Porcine deltacoronavirus (PDCoV) is a newly emerged swine enteropathogenic coronavirus affecting pigs of all ages and causing diarrhea problems. Research findings indicate that PDCoV has evolved strategies to escape innate immune response in host cells, but mechanism of PDCoV in innate immune modulation is not well understood. In this study, we report our findings on identifying the alterations of host cell innate immune response affected by PDCoV infection and exploring the gene expression profiles of PK-15 cells at 0, 24, and 36 h PDCoV post infection by RNA sequencing. A total of 3,762 and 560 differentially expressed genes (DEGs) were screened by comparison of uninfected PK-15 cells and infected PK-15 cells at 24 h post infection (hpi) (INF_24h versus NC), and also comparison of infected PK-15 cells between 24 and 36 hpi (INF_36h versus INF_24h), which included 156 and 23 porcine innate immune-related genes in the DEGs of INF_24h versus NC and INF_36h versus INF_24h, respectively. Gene Ontology function classification and Kyoto Encyclopedia of Genes and Genomes signaling pathway enrichment analysis were performed based on the DEGs that exhibited the same expression tendencies with most of the innate immune-associated genes among these PK-15 cell samples described above. The enrichment results indicated that extensive gene functions and signaling pathways including innate immune-associated functions and pathways were affected by PDCoV infection. Particularly, 4 of 5 innate immune signaling pathways, which were primarily affected by PDCoV, played important roles in I-IFN’s antiviral function in innate immune response. Additionally, 16 of the host cell endogenous miRNAs were predicted as potential contributors to the modulation of innate immune response affected by PDCoV. Our research findings indicated that the innate immune-associated genes and signaling pathways in PK-15 cells could be modified by the infection of PDCoV, which provides a fundamental foundation for further studies to better understand the mechanism of PDCoV infections, so as to effectively control and prevent PDCoV-induced swine diarrheal disease outbreaks.
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38
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Porcine deltacoronavirus causes diarrhea in various ages of field-infected pigs in China. Biosci Rep 2019; 39:BSR20190676. [PMID: 31488617 PMCID: PMC6746998 DOI: 10.1042/bsr20190676] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2019] [Revised: 08/25/2019] [Accepted: 09/04/2019] [Indexed: 01/16/2023] Open
Abstract
Porcine deltacoronavirus (PDCoV) is a novel coronavirus that causes acute diarrhea in suckling piglets. In Henan province of China, three swine farms broke out diarrhea in different ages of pigs during June of 2017, March of 2018 and January of 2019, respectively. PCR method, Taqman real-time RT-PCR method, sequencing, histopathology and immunohistochemistry (IHC) were conducted with the collected samples, and the results showed that PDCoV was detected among the suckling piglets, commercial fattening pigs and sows with diarrhea. PDCoV-infected suckling piglets were characterized with thin and transparent intestinal walls from colon to caecum, spot hemorrhage at mesentery and intestinal bleeding. PDCoV RNA was detected in multiple organs and tissues by Taqman real-time RT-PCR, which had high copies in ileum, inguinal lymph node, rectum and spleen. PDCoV antigen was detected in the basal layer of jejunum and ileum by IHC. In this research, we found that PDCoV could infect various ages of farmed pigs with watery diarrhea and anorexia in different seasons in a year.
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39
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He W, Wang N, Tan J, Wang R, Yang Y, Li G, Guan H, Zheng Y, Shi X, Ye R, Su S, Zhou J. Comprehensive codon usage analysis of porcine deltacoronavirus. Mol Phylogenet Evol 2019; 141:106618. [PMID: 31536759 PMCID: PMC7111727 DOI: 10.1016/j.ympev.2019.106618] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2017] [Revised: 09/05/2019] [Accepted: 09/11/2019] [Indexed: 12/13/2022]
Abstract
Porcine deltacoronavirus (PDCoV) is a newly identified coronavirus of pigs that was first reported in Hong Kong in 2012. Since then, many PDCoV isolates have been identified worldwide. In this study, we analyzed the codon usage pattern of the S gene using complete coding sequences and complete PDCoV genomes to gain a deeper understanding of their genetic relationships and evolutionary history. We found that during evolution three groups evolved with a relatively low codon usage bias (effective number of codons (ENC) of 52). The factors driving bias were complex. However, the primary element influencing the codon bias of PDCoVs was natural selection. Our results revealed that different natural environments may have a significant impact on the genetic characteristics of the strains. In the future, more epidemiological surveys are required to examine the factors that resulted in the emergence and outbreak of this virus.
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Affiliation(s)
- Wei He
- MOE Joint International Research Laboratory of Animal Health and Food Safety, Jiangsu Engineering Laboratory of Animal Immunology, Institute of Immunology and College of Veterinary Medicine, Nanjing Agricultural University, Nanjing 210095, China
| | - Ningning Wang
- MOE Joint International Research Laboratory of Animal Health and Food Safety, Jiangsu Engineering Laboratory of Animal Immunology, Institute of Immunology and College of Veterinary Medicine, Nanjing Agricultural University, Nanjing 210095, China
| | - Jimin Tan
- MOE Joint International Research Laboratory of Animal Health and Food Safety, Jiangsu Engineering Laboratory of Animal Immunology, Institute of Immunology and College of Veterinary Medicine, Nanjing Agricultural University, Nanjing 210095, China
| | - Ruyi Wang
- MOE Joint International Research Laboratory of Animal Health and Food Safety, Jiangsu Engineering Laboratory of Animal Immunology, Institute of Immunology and College of Veterinary Medicine, Nanjing Agricultural University, Nanjing 210095, China
| | - Yichen Yang
- MOE Joint International Research Laboratory of Animal Health and Food Safety, Jiangsu Engineering Laboratory of Animal Immunology, Institute of Immunology and College of Veterinary Medicine, Nanjing Agricultural University, Nanjing 210095, China
| | - Gairu Li
- MOE Joint International Research Laboratory of Animal Health and Food Safety, Jiangsu Engineering Laboratory of Animal Immunology, Institute of Immunology and College of Veterinary Medicine, Nanjing Agricultural University, Nanjing 210095, China
| | - Haifei Guan
- MOE Joint International Research Laboratory of Animal Health and Food Safety, Jiangsu Engineering Laboratory of Animal Immunology, Institute of Immunology and College of Veterinary Medicine, Nanjing Agricultural University, Nanjing 210095, China
| | - Yuna Zheng
- MOE Joint International Research Laboratory of Animal Health and Food Safety, Jiangsu Engineering Laboratory of Animal Immunology, Institute of Immunology and College of Veterinary Medicine, Nanjing Agricultural University, Nanjing 210095, China
| | - Xinze Shi
- MOE Joint International Research Laboratory of Animal Health and Food Safety, Jiangsu Engineering Laboratory of Animal Immunology, Institute of Immunology and College of Veterinary Medicine, Nanjing Agricultural University, Nanjing 210095, China
| | - Rui Ye
- MOE Joint International Research Laboratory of Animal Health and Food Safety, Jiangsu Engineering Laboratory of Animal Immunology, Institute of Immunology and College of Veterinary Medicine, Nanjing Agricultural University, Nanjing 210095, China
| | - Shuo Su
- MOE Joint International Research Laboratory of Animal Health and Food Safety, Jiangsu Engineering Laboratory of Animal Immunology, Institute of Immunology and College of Veterinary Medicine, Nanjing Agricultural University, Nanjing 210095, China.
| | - Jiyong Zhou
- MOA Key Laboratory of Animal Virology, Department of Veterinary Medicine and Veterinary Medical Research Center, Zhejiang University, Hangzhou 310058, China; Institute of Preventive Veterinary Sciences, Zhejiang University, Hangzhou 310058, China; Collaborative Innovation Center and State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, First Affiliated Hospital, Zhejiang University, Hangzhou 310003, China.
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Jia S, Feng B, Wang Z, Ma Y, Gao X, Jiang Y, Cui W, Qiao X, Tang L, Li Y, Wang L, Xu Y. Dual priming oligonucleotide (DPO)-based real-time RT-PCR assay for accurate differentiation of four major viruses causing porcine viral diarrhea. Mol Cell Probes 2019; 47:101435. [PMID: 31415867 PMCID: PMC7127266 DOI: 10.1016/j.mcp.2019.101435] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2019] [Revised: 07/28/2019] [Accepted: 08/12/2019] [Indexed: 01/25/2023]
Abstract
Currently in China, porcine epidemic diarrhea virus (PEDV), transmissible gastroenteritis virus (TGEV), porcine rotavirus (PoRV), and porcine deltacoronavirus (PDCoV) are the major causes of porcine viral diarrhea, and mixed infections in clinics are common, resulting in significant economic losses in pig industry. Here, a dual priming oligonucleotide (DPO)-based multiplex real-time SYBR Green RT-PCR assay were developed for accurately differentiating PEDV, TGEV, PoRV, and PDCoV in clinical specimens targeting the N gene of TGEV, PEDV, and PDCoV, and the VP7 gene of PoRV. Results showed that the DPO primer allowed a wider annealing temperature range (40–65 °C) and had a higher priming specificity compared to conventional primer, in which more than 3 nucleotides in the 3′- or 5′-segment of DPO primer mismatched with DNA template, PCR amplification efficiency would decrease substantially or extension would not proceed. DPO-based multiplex real-time RT-PCR method had analytical detection limit of 8.63 × 102 copies/μL, 1.92 × 102 copies/μL, 1.74 × 102 copies/μL, and 1.76 × 102 copies/μL for PEDV, TGEV, PoRV, and PDCoV in clinical specimens, respectively. A total of 672 clinical specimens of piglets with diarrheal symptoms were collected in Northeastern China from 2017 to 2018 followed by analysis using the assay, and epidemiological investigation results showed that PEDV, TGEV, PoRV, and PDCoV prevalence was 19.05%, 5.21%, 4.32%, and 3.87%, respectively. The assay developed in this study showed higher detection accuracy than conventional RT-PCR method, suggesting a useful tool for the accurate differentiation of the four major viruses causing porcine viral diarrhea in practice. DPO-based real-time RT-PCR assay for differentiating PEDV, TGEV, PoRV, and PDCoV was developed. The assay has strong specificity and high sensitivity. The test of clinical specimens showed that accuracy of the assay was higher than traditional RT-PCR. The assay is useful tool for epidemiological investigation of the four viruses.
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Affiliation(s)
- Shuo Jia
- Heilongjiang Key Laboratory for Animal Disease Control and Pharmaceutical Development, College of Veterinary Medicine, Northeast Agricultural University, Harbin, PR China
| | - Baohua Feng
- Heilongjiang Key Laboratory for Animal Disease Control and Pharmaceutical Development, College of Veterinary Medicine, Northeast Agricultural University, Harbin, PR China
| | - Zhuo Wang
- Heilongjiang Key Laboratory for Animal Disease Control and Pharmaceutical Development, College of Veterinary Medicine, Northeast Agricultural University, Harbin, PR China
| | - Yingying Ma
- Heilongjiang Key Laboratory for Animal Disease Control and Pharmaceutical Development, College of Veterinary Medicine, Northeast Agricultural University, Harbin, PR China
| | - Xuwen Gao
- Heilongjiang Key Laboratory for Animal Disease Control and Pharmaceutical Development, College of Veterinary Medicine, Northeast Agricultural University, Harbin, PR China
| | - Yanping Jiang
- Heilongjiang Key Laboratory for Animal Disease Control and Pharmaceutical Development, College of Veterinary Medicine, Northeast Agricultural University, Harbin, PR China
| | - Wen Cui
- Heilongjiang Key Laboratory for Animal Disease Control and Pharmaceutical Development, College of Veterinary Medicine, Northeast Agricultural University, Harbin, PR China
| | - Xinyuan Qiao
- Heilongjiang Key Laboratory for Animal Disease Control and Pharmaceutical Development, College of Veterinary Medicine, Northeast Agricultural University, Harbin, PR China
| | - Lijie Tang
- Heilongjiang Key Laboratory for Animal Disease Control and Pharmaceutical Development, College of Veterinary Medicine, Northeast Agricultural University, Harbin, PR China; Northeastern Science Inspection Station, China Ministry of Agriculture Key Laboratory of Animal Pathogen Biology, Harbin, PR China
| | - Yijing Li
- Heilongjiang Key Laboratory for Animal Disease Control and Pharmaceutical Development, College of Veterinary Medicine, Northeast Agricultural University, Harbin, PR China; Northeastern Science Inspection Station, China Ministry of Agriculture Key Laboratory of Animal Pathogen Biology, Harbin, PR China
| | - Li Wang
- Heilongjiang Key Laboratory for Animal Disease Control and Pharmaceutical Development, College of Veterinary Medicine, Northeast Agricultural University, Harbin, PR China; Northeastern Science Inspection Station, China Ministry of Agriculture Key Laboratory of Animal Pathogen Biology, Harbin, PR China.
| | - Yigang Xu
- Heilongjiang Key Laboratory for Animal Disease Control and Pharmaceutical Development, College of Veterinary Medicine, Northeast Agricultural University, Harbin, PR China; Northeastern Science Inspection Station, China Ministry of Agriculture Key Laboratory of Animal Pathogen Biology, Harbin, PR China.
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Susceptibility of Chickens to Porcine Deltacoronavirus Infection. Viruses 2019; 11:v11060573. [PMID: 31234434 PMCID: PMC6631122 DOI: 10.3390/v11060573] [Citation(s) in RCA: 85] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2019] [Revised: 06/16/2019] [Accepted: 06/18/2019] [Indexed: 01/10/2023] Open
Abstract
Porcine deltacoronavirus (PDCoV) is a novel swine enteropathogenic coronavirus with worldwide distribution. PDCoV belongs to the Deltacoronavirus (DCoV) genus, which mainly includes avian coronaviruses (CoVs). PDCoV has the potential to infect human and chicken cells in vitro, and also has limited infectivity in calves. However, the origin of PDCoV in pigs, the host range, and cross-species infection of PDCoV still remain unclear. To determine whether PDCoV really has the ability to infect chickens in vivo, the three lines of chicken embryos and specific pathogen free (SPF) chickens were inoculated with PDCoV HNZK-02 strain to investigate PDCoV infection in the current study. Our results indicated that PDCoV can infect chicken embryos and could be continuously passaged on them. Furthermore, we observed that PDCoV-inoculated chickens showed mild diarrhea symptoms and low fecal viral RNA shedding. PDCoV RNA could also be detected in multiple organs (lung, kidney, jejunum, cecum, and rectum) and intestinal contents of PDCoV-inoculated chickens until 17 day post-inoculation by real-time quantitative PCR (qRT-PCR). A histology analysis indicated that PDCoV caused mild lesions in the lung, kidney, and intestinal tissues. These results prove the susceptibility of chickens to PDCoV infection, which might provide more insight about the cross-species transmission of PDCoV.
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Perri AM, Poljak Z, Dewey C, Harding JCS, O'Sullivan TL. Factors Associated With Time to Elimination of Porcine Epidemic Diarrhea Virus in Individual Ontario Swine Herds Based on Surveillance Data. Front Vet Sci 2019; 6:139. [PMID: 31139635 PMCID: PMC6518961 DOI: 10.3389/fvets.2019.00139] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2018] [Accepted: 04/16/2019] [Indexed: 12/02/2022] Open
Abstract
Porcine epidemic diarrhea virus (PEDV) emerged into Canada in January of 2014. The virus was considered to be of high importance and the number of new cases were tracked using different mechanisms by stakeholders such as veterinary services from the provincial government and the swine industry. In addition to the initial date of infection, veterinary organizations in the swine industry maintained a disease control program (DCP) database that contained the date of declaration of freedom from PEDV in individual herds. Such data allowed for the determination of the duration of PEDV infection in individual herds based on herd type, year and season of diagnosis. Therefore, the objective of this study was to determine time to PEDV elimination in Ontario swine herds infected between 2014 and 2017, on the basis of records from the DCP database; and to identify factors associated with the likelihood of elimination. Duration of time to eliminate PEDV was estimated using Kaplan-Meier survival curves. The final Cox's proportional hazard model included herd type, season and year of diagnosis. The hazard of PEDV elimination for premises that were farrow-to-wean was 3.36 times larger (P-value: 0.044, 95% CI: 1.03, 10.93) than for farrow-to-feeder herds. Herds diagnosed in the summer and fall had hazard ratios of 1.40 (P-value: 0.044, 95% CI: 1.03, 10.93) and 7.32 (P-value: <0.001, 95% CI: 3.12, 17.18), respectively compared to herds diagnosed in the winter months. The hazard ratio for herds diagnosed in 2015 was 0.54 (P-value: 0.015, 95% CI: 0.33, 0.89) compared to herds diagnosed in 2014. Factors associated with time to elimination are likely reflective of the complexity of infection control practices applied in herds with different demographics and population structures, seasonal variability in the pathogen transmissibility, and the availability of resources to manage an emerging production-limiting disease. The median times to elimination were relatively long, which could be due to how it was measured, decisions made at the level of individual herds or delays related to reporting PEDV elimination. Design of control measures for production-limiting diseases at the regional level should take these factors into consideration.
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Affiliation(s)
- Amanda M. Perri
- Department of Population Medicine, Ontario Veterinary College, University of Guelph, Guelph, ON, Canada
| | - Zvonimir Poljak
- Department of Population Medicine, Ontario Veterinary College, University of Guelph, Guelph, ON, Canada
| | - Cate Dewey
- Department of Population Medicine, Ontario Veterinary College, University of Guelph, Guelph, ON, Canada
| | - John C. S. Harding
- Department of Large Animal Clinical Sciences, Western College of Veterinary Medicine University of Saskatchewan, Saskatoon, SK, Canada
| | - Terri L. O'Sullivan
- Department of Population Medicine, Ontario Veterinary College, University of Guelph, Guelph, ON, Canada
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Zhang H, Liang Q, Li B, Cui X, Wei X, Ding Q, Wang Y, Hu H. Prevalence, phylogenetic and evolutionary analysis of porcine deltacoronavirus in Henan province, China. Prev Vet Med 2019; 166:8-15. [PMID: 30935509 PMCID: PMC7114282 DOI: 10.1016/j.prevetmed.2019.02.017] [Citation(s) in RCA: 33] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2018] [Revised: 02/23/2019] [Accepted: 02/28/2019] [Indexed: 01/08/2023]
Abstract
Porcine deltacoronavirus (PDCoV) is a novel porcine enteric coronavirus that causes diarrhea, vomiting and dehydration in piglets. This newly virus has spread rapidly and has caused serious economic losses for pig industry since the outbreak in USA in 2014. In this study, 430 faecal and intestinal samples (143 faecal samples and 287 intestinal samples) were collected from individual pigs with diarrhea and 211 serum samples were also collected from the sows with mild diarrhea in 17 regions in Henan province, China from April 2015 to March 2018. The RT-PCR detection indicated that the infection of PDCoV was high up to 23.49% (101/430), and co-infection with PEDV were common (60.40%, 61/101) in Henan pigs. The prevalence of PDCoV in suckling piglets was the highest (36.43%, 94/258). We also found that PDCoV could be detected in sows faeces and sera while the sows showed mild, self-limited diarrhea in clinic. The complete genomes of 4 PDCoV Henan strains (CH-01, HNZK-02, HNZK-04, HNZK-06) were sequenced and analyzed. Phylogenetic analysis based on the complete genome, spike and nucleocapsid gene sequences revealed that the PDCoV Henan strains were closely related to other PDCoV reference strains that located in the Chinese clade. Furthermore, the phylogenetic analysis showed PDCoV CH-01 strain was closely related to CHN-HB-2014 strain and HKU15-44 strain, while the other PDCoV Henan strains were more related to PDCoV CHJXNI2 and CH-SXD1-2015 strains, indicating that the ancestor of these sequenced strains may different. These results would support the understanding of the prevalence and evolution characteristics of PDCoV in China.
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Affiliation(s)
- Honglei Zhang
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450002, Henan, China; Key Laboratory for Animal-derived Food Safety of Henan Province, Zhengzhou, 450002, China
| | - Qingqing Liang
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450002, Henan, China
| | - Bingxiao Li
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450002, Henan, China
| | - Xinge Cui
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450002, Henan, China
| | - Xuelei Wei
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450002, Henan, China
| | - Qingwen Ding
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450002, Henan, China
| | - Yabin Wang
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450002, Henan, China; Key Laboratory for Animal-derived Food Safety of Henan Province, Zhengzhou, 450002, China.
| | - Hui Hu
- College of Animal Science and Veterinary Medicine, Henan Agricultural University, Zhengzhou, 450002, Henan, China; Key Laboratory for Animal-derived Food Safety of Henan Province, Zhengzhou, 450002, China.
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Zhang Y, Cheng Y, Xing G, Yu J, Liao A, Du L, Lei J, Lian X, Zhou J, Gu J. Detection and spike gene characterization in porcine deltacoronavirus in China during 2016-2018. INFECTION GENETICS AND EVOLUTION 2019; 73:151-158. [PMID: 31026605 PMCID: PMC7106087 DOI: 10.1016/j.meegid.2019.04.023] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/17/2018] [Revised: 04/08/2019] [Accepted: 04/22/2019] [Indexed: 12/22/2022]
Abstract
Porcine deltacoronavirus (PDCoV) has been emerging in several swine-producing countries for years. In our study, 719 porcine diarrhoea samples from 18 provinces in China were collected for PDCoV and porcine epidemic diarrhoea virus (PEDV) detection. The epidemiological survey revealed that the positive rates of PDCoV, PEDV and coinfection were 13.07%, 36.72% and 4.73%, respectively. The entire spike (S) genes of eleven detected PDCoV strains were sequenced. Phylogenetic analysis showed that the majority of PDCoVs could be divided into three lineages: the China lineage, the USA/Japan/South Korea lineage and the Viet Nam/Laos/Thailand lineage. The China and the Viet Nam/Laos/Thailand lineages showed much greater genetic divergences than the USA/Japan/South Korea lineage. The present study detected one new monophyletic branch that contained three PDCoVs from China, and this branch was separated from the China lineage but closely related to the Viet Nam/Laos/Thailand lineage. The strain CH-HA2-2017, which belongs to this new branch, had a possible recombination event between positions 27 and 1234. Significant amino acid substitutions of PDCoV S proteins were analysed and displayed with a three-dimensional cartoon diagram. The visual spatial location of these substitutions gave a conformational-based reference for further studies on the significance of critical sites on the PDCoV S protein. The majority of global PDCoVs could be divided into three lineages. Three sequenced PDCoVs from China were closely related to the Viet Nam/Laos/Thailand lineage. The China lineage showed the greatest genetic divergence. One sequenced strain CH-HA2–2017 had a possible recombination event.
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Affiliation(s)
- Yu Zhang
- MOE Joint International Research Laboratory of Animal Health and Food Safety, Institute of Immunology and College of Veterinary Medicine, Nanjing Agricultural University, Nanjing 210095, China; Jiangsu Engineering Laboratory of Animal Immunology, College of Veterinary Medicine, Nanjing Agricultural University, Nanjing 210095, China
| | - Yao Cheng
- MOE Joint International Research Laboratory of Animal Health and Food Safety, Institute of Immunology and College of Veterinary Medicine, Nanjing Agricultural University, Nanjing 210095, China; Jiangsu Engineering Laboratory of Animal Immunology, College of Veterinary Medicine, Nanjing Agricultural University, Nanjing 210095, China
| | - Gang Xing
- MOA key laboratory of Animal Virology, Department of Veterinary Medicine, Zhejiang University, Hangzhou 310058, China
| | - Jing Yu
- MOE Joint International Research Laboratory of Animal Health and Food Safety, Institute of Immunology and College of Veterinary Medicine, Nanjing Agricultural University, Nanjing 210095, China; Jiangsu Engineering Laboratory of Animal Immunology, College of Veterinary Medicine, Nanjing Agricultural University, Nanjing 210095, China
| | - Ao Liao
- Ma'anshan Shiji Animal Health Management Co. Ltd, Anhui, China
| | - Liuyang Du
- MOE Joint International Research Laboratory of Animal Health and Food Safety, Institute of Immunology and College of Veterinary Medicine, Nanjing Agricultural University, Nanjing 210095, China; Jiangsu Engineering Laboratory of Animal Immunology, College of Veterinary Medicine, Nanjing Agricultural University, Nanjing 210095, China
| | - Jing Lei
- MOE Joint International Research Laboratory of Animal Health and Food Safety, Institute of Immunology and College of Veterinary Medicine, Nanjing Agricultural University, Nanjing 210095, China; Jiangsu Engineering Laboratory of Animal Immunology, College of Veterinary Medicine, Nanjing Agricultural University, Nanjing 210095, China
| | - Xue Lian
- Jiangsu Engineering Laboratory of Animal Immunology, College of Veterinary Medicine, Nanjing Agricultural University, Nanjing 210095, China
| | - Jiyong Zhou
- MOA key laboratory of Animal Virology, Department of Veterinary Medicine, Zhejiang University, Hangzhou 310058, China
| | - Jinyan Gu
- MOE Joint International Research Laboratory of Animal Health and Food Safety, Institute of Immunology and College of Veterinary Medicine, Nanjing Agricultural University, Nanjing 210095, China; MOA key laboratory of Animal Virology, Department of Veterinary Medicine, Zhejiang University, Hangzhou 310058, China; Jiangsu Engineering Laboratory of Animal Immunology, College of Veterinary Medicine, Nanjing Agricultural University, Nanjing 210095, China.
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Li K, Li H, Bi Z, Song D, Zhang F, Lei D, Luo S, Li Z, Gong W, Huang D, Ye Y, Tang Y. Significant inhibition of re-emerged and emerging swine enteric coronavirus in vitro using the multiple shRNA expression vector. Antiviral Res 2019; 166:11-18. [PMID: 30905822 PMCID: PMC7113732 DOI: 10.1016/j.antiviral.2019.03.010] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2018] [Revised: 03/13/2019] [Accepted: 03/18/2019] [Indexed: 12/29/2022]
Abstract
Swine enteric coronaviruses (SECoVs), including porcine epidemic diarrhea virus (PEDV), swine acute diarrhea syndrome coronavirus (SADS-CoV), and porcine deltacoronavirus (PDCoV) have emerged and been prevalent in pig populations in China for the last several years. However, current traditional inactivated and attenuated PEDV vaccines are of limited efficacy against circulating PEDV variants, and there are no commercial vaccines for prevention of PDCoV and SADS-CoV. RNA interference (RNAi) is a powerful tool in therapeutic applications to inhibit viral replication in vitro. In this study, we developed a small interfering RNA generation system that expressed two different short hairpin RNAs (shRNAs) targeting the M gene of PEDV and SADS-CoV and the N gene of PDCoV, respectively. Our results demonstrated that simultaneous expression of these specific shRNA molecules inhibited expression of PEDV M gene, SADS-CoV M gene, and PDCoV N gene RNA by 99.7%, 99.4%, and 98.8%, respectively, in infected cell cultures. In addition, shRNA molecules significantly restricted the expression of M and N protein, and impaired the replication of PEDV, SADS-CoV, and PDCoV simultaneously. Taken together, this shRNAs expression system not only is proved to be a novel approach for studying functions of various genes synchronously, but also developed to test aspects of a potential therapeutic option for treatment and prevention of multiple SECoV infections. Two potential targets of antiviral molecules for the treatment of three swine enteric coronaviruses replication are tested. The multiple-shRNA expression vector was constructed to effectively inhibit PEDV, SADS-CoV, and PDCoV. A shRNA-based multiple-resistance antiviral strategy, significantly affecting viral replication, was evaluated in vitro.
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Affiliation(s)
- Kai Li
- Department of Preventive Veterinary Medicine, College of Animal Science and Technology, Jiangxi Agricultural University, Nanchang, Jiangxi, 330045, China; Key Laboratory for Animal Health of Jiangxi Province, Nanchang, Jiangxi, 330045, China
| | - Hao Li
- Department of Preventive Veterinary Medicine, College of Animal Science and Technology, Jiangxi Agricultural University, Nanchang, Jiangxi, 330045, China; Key Laboratory for Animal Health of Jiangxi Province, Nanchang, Jiangxi, 330045, China
| | - Zhen Bi
- Department of Preventive Veterinary Medicine, College of Animal Science and Technology, Jiangxi Agricultural University, Nanchang, Jiangxi, 330045, China; Key Laboratory for Animal Health of Jiangxi Province, Nanchang, Jiangxi, 330045, China
| | - Deping Song
- Department of Preventive Veterinary Medicine, College of Animal Science and Technology, Jiangxi Agricultural University, Nanchang, Jiangxi, 330045, China; Key Laboratory for Animal Health of Jiangxi Province, Nanchang, Jiangxi, 330045, China
| | - Fanfan Zhang
- Department of Preventive Veterinary Medicine, College of Animal Science and Technology, Jiangxi Agricultural University, Nanchang, Jiangxi, 330045, China; Key Laboratory for Animal Health of Jiangxi Province, Nanchang, Jiangxi, 330045, China
| | - Dan Lei
- Department of Preventive Veterinary Medicine, College of Animal Science and Technology, Jiangxi Agricultural University, Nanchang, Jiangxi, 330045, China; Key Laboratory for Animal Health of Jiangxi Province, Nanchang, Jiangxi, 330045, China
| | - Suxian Luo
- Department of Preventive Veterinary Medicine, College of Animal Science and Technology, Jiangxi Agricultural University, Nanchang, Jiangxi, 330045, China; Key Laboratory for Animal Health of Jiangxi Province, Nanchang, Jiangxi, 330045, China
| | - Zhiquan Li
- Department of Preventive Veterinary Medicine, College of Animal Science and Technology, Jiangxi Agricultural University, Nanchang, Jiangxi, 330045, China; Key Laboratory for Animal Health of Jiangxi Province, Nanchang, Jiangxi, 330045, China
| | - Wang Gong
- Department of Preventive Veterinary Medicine, College of Animal Science and Technology, Jiangxi Agricultural University, Nanchang, Jiangxi, 330045, China; Key Laboratory for Animal Health of Jiangxi Province, Nanchang, Jiangxi, 330045, China
| | - Dongyan Huang
- Department of Preventive Veterinary Medicine, College of Animal Science and Technology, Jiangxi Agricultural University, Nanchang, Jiangxi, 330045, China; Key Laboratory for Animal Health of Jiangxi Province, Nanchang, Jiangxi, 330045, China
| | - Yu Ye
- Department of Preventive Veterinary Medicine, College of Animal Science and Technology, Jiangxi Agricultural University, Nanchang, Jiangxi, 330045, China; Key Laboratory for Animal Health of Jiangxi Province, Nanchang, Jiangxi, 330045, China.
| | - Yuxin Tang
- Department of Preventive Veterinary Medicine, College of Animal Science and Technology, Jiangxi Agricultural University, Nanchang, Jiangxi, 330045, China; Key Laboratory for Animal Health of Jiangxi Province, Nanchang, Jiangxi, 330045, China.
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Complete Genome Sequences of Two Porcine Deltacoronavirus Strains from Henan Province, China. Microbiol Resour Announc 2019; 8:MRA01517-18. [PMID: 30863822 PMCID: PMC6406112 DOI: 10.1128/mra.01517-18] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2018] [Accepted: 01/28/2019] [Indexed: 11/20/2022] Open
Abstract
In 2016 and 2018, two porcine deltacoronavirus (PDCoV) strains, CH-01 and HNZK-02, were identified from fecal samples of piglets with diarrhea in Henan Province, China. The full-length genomic sequence analysis indicated that these two strains had high nucleotide identities with the other Chinese PDCoV epidemic strains. In 2016 and 2018, two porcine deltacoronavirus (PDCoV) strains, CH-01 and HNZK-02, were identified from fecal samples of piglets with diarrhea in Henan Province, China. The full-length genomic sequence analysis indicated that these two strains had high nucleotide identities with the other Chinese PDCoV epidemic strains.
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Forecasting herd-level porcine epidemic diarrhea (PED) frequency trends in Ontario (Canada). Prev Vet Med 2019; 164:15-22. [PMID: 30771890 PMCID: PMC7125872 DOI: 10.1016/j.prevetmed.2019.01.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2018] [Revised: 01/11/2019] [Accepted: 01/11/2019] [Indexed: 11/23/2022]
Abstract
Porcine Epidemic Diarrhea Virus (PEDV) emerged in North America in 2013. The first case of PEDV in Canada was identified on an Ontario farm in January 2014. Surveillance was instrumental in identifying the initial case and in minimizing the spread of the virus to other farms. With recent advances in predictive analytics showing promise for health and disease forecasting, the primary objective of this study was to apply machine learning predictive methods (random forest, artificial neural networks, and classification and regression trees) to provincial PEDV incidence data, and in so doing determine their accuracy for predicting future PEDV trends. Trend was defined as the cumulative number of new cases over a four-week interval, and consisted of four levels (zero, low, medium and high). Provincial PEDV incidence and prevalence estimates from an industry database, as well as temperature, humidity, and precipitation data, were combined to create the forecast dataset. With 10-fold cross validation performed on the entire dataset, the overall accuracy was 0.68 (95% CI: 0.60 - 0.75), 0.57 (95% CI: 0.49 - 0.64), and 0.55 (0.47 - 0.63) for the random forest, artificial neural network, and classification and regression tree models, respectively. Based on the cross-validation approach to evaluating predictive accuracy, the random forest model provided the best prediction.
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Ajayi T, Dara R, Misener M, Pasma T, Moser L, Poljak Z. Herd-level prevalence and incidence of porcine epidemic diarrhoea virus (PEDV) and porcine deltacoronavirus (PDCoV) in swine herds in Ontario, Canada. Transbound Emerg Dis 2018; 65:1197-1207. [PMID: 29607611 PMCID: PMC7169835 DOI: 10.1111/tbed.12858] [Citation(s) in RCA: 47] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2017] [Indexed: 11/30/2022]
Abstract
Porcine epidemic diarrhoea virus (PEDV) and porcine deltacoronavirus (PDCoV) were first identified in Canada in 2014. Surveillance efforts have been instrumental in controlling both diseases. In this study, we provide an overview of surveillance components for the two diseases in Ontario (Canada), as well as PEDV and PDCoV incidence and prevalence measures. Swine herds located in the Province of Ontario, of any type, whose owners agreed to participate in a voluntary industry‐led disease control programme (DCP) and with associated diagnostic or epidemiological information about the two swine coronaviruses, were eligible to be included for calculation of disease frequency at the provincial level. PEDV and PDCoV data stored in the industry DCP database were imported into the R statistical software and analysed to produce weekly frequency of incidence counts and prevalence counts, in addition to yearly herd‐level incidence risk and prevalence between 2014 and 2016. The yearly herd‐level incidence risk of PEDV, based on industry data, was 13.5%, 3.0% and 1.4% (95% CI: 11.1–16.2, 2.0–4.2, 0.8–2.3), while the yearly herd‐level incidence risk of PDCoV was 1.1%, 0.3%, and 0.1% (95% CI: 0.5–2.2, 0.1–0.9, 0.0–0.5), for 2014, 2015 and 2016, respectively. Herd‐level prevalence estimates for PEDV in the last week of 2014, 2015 and 2016 were 4.4%, 2.3% and 1.4%, respectively (95% CI: 3.1–6.0, 1.5–3.3, 0.8–2.2), while herd‐level prevalence estimates for PDCoV in the last week of 2014, 2015 and 2016 were 0.5%, 0.2% and 0.2%, respectively (95% CI: 0.1–1.2, 0.0–0.6, 0.0–0.6). Collectively, our results point to low and decreasing incidence risk and prevalence for PEDV and PDCoV in Ontario, making both diseases possible candidates for disease elimination at the provincial level.
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Affiliation(s)
- T Ajayi
- Department of Population Medicine, Ontario Veterinary College, University of Guelph, Guelph, ON, Canada
| | - R Dara
- School of Computer Science, University of Guelph, Guelph, ON, Canada
| | - M Misener
- Ontario Swine Health Advisory Board (OSHAB), Stratford, ON, Canada
| | - T Pasma
- Ontario Ministry of Agriculture, Food and Rural Affairs (OMAFRA), Guelph, ON, Canada
| | - L Moser
- Swine Health Ontario, Guelph, ON, Canada
| | - Z Poljak
- Department of Population Medicine, Ontario Veterinary College, University of Guelph, Guelph, ON, Canada
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