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Chen J, Meng W, Zeng H, Wang J, Liu S, Jiang Q, Chen Z, Ma Z, Wang Z, Li S, Jia K. Epidemiological survey of calf diarrhea related viruses in several areas of Guangdong Province. Front Microbiol 2024; 15:1441419. [PMID: 39351302 PMCID: PMC11439775 DOI: 10.3389/fmicb.2024.1441419] [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: 05/31/2024] [Accepted: 08/23/2024] [Indexed: 10/04/2024] Open
Abstract
Introduction Bovine torovirus (BToV), Bovine enterovirus (BEV), Bovine norovirus (BNoV), Bovine coronavirus (BCoV), Bovine rotavirus (BRV), and Bovine viral diarrhea virus (BVDV) are significant pathogens causing diarrhea in calves, characterized by their high prevalence and challenging prevention and control measures. Methods We analyzed 295 calf diarrhea samples, amplifying the M gene from BToV-positive samples, the 5'UTR gene from BEV-positive samples, the RdRp gene from BNoV-positive samples, the VP7 gene from BRV-positive samples, the S gene from BCoV-positive samples, and the 5'UTR gene from BVDV-positive samples. Subsequent homology analysis and phylogenetic tree construction were performed. Results The overall viral positive rate in Guangdong Province was 21.36%. Specific detection rates were as follows: Foshan City at 50.00% (18/36), Guangzhou City at 43.90% (36/82), Huizhou City at 21.21% (7/33), Yangjiang City at 2.08% (1/48), Meizhou City at 1.39% (1/72), and Heyuan City at 0.00% (0/24). The detection rates for BToV, BEV, BNoV, BCoV, BRV, and BVDV were 0.34% (1/295), 6.10% (18/295), 0.68% (2/295), 1.36% (4/295), 10.85% (32/295), and 2.03% (6/295), respectively. Notably, the highest overall virus detection rate was observed in the Guangzhou-Foshan region, with BRV and BEV showing the highest detection rates among the six viruses. This study marks the first report of BToV and BNoV in Guangdong Province. Phylogenetic analysis revealed that the BToV strain belonged to type II, sharing genetic similarities with epidemic strains from various provinces in China. The BEV strains were categorized into E and F types, with the F type being the predominant strain in Guangdong Province and exhibiting the closest genetic relationship to strains from Heilongjiang and Guangxi. The BNoV strains, along with Hebei strains, were identified as GIII.2 subgenotype. BCoV strains showed the highest genetic similarity to strains from Sichuan. All BRV strains were classified under the G6 subtype and had the closest genetic relationship with human rotavirus strains. BVDV strains were identified as subtype 1b, closely related to the Beijing strain. In conclusion, this study investigated the prevalence and evolutionary characteristics of diarrhea-associated viruses in calves in specific areas of Guangdong Province, providing a valuable reference for establishing effective prevention and control measures in cattle farms.
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Affiliation(s)
- Jinping Chen
- College of Veterinary Medicine, South China Agricultural University, Guangzhou, China
- Guangdong Technological Engineering Research Center for Pet, Guangzhou, China
| | - Wenxin Meng
- College of Veterinary Medicine, South China Agricultural University, Guangzhou, China
- Guangdong Technological Engineering Research Center for Pet, Guangzhou, China
| | - Huijuan Zeng
- College of Veterinary Medicine, South China Agricultural University, Guangzhou, China
- Guangdong Technological Engineering Research Center for Pet, Guangzhou, China
| | - Jingyu Wang
- College of Veterinary Medicine, South China Agricultural University, Guangzhou, China
- Guangdong Technological Engineering Research Center for Pet, Guangzhou, China
| | - Shizhe Liu
- College of Veterinary Medicine, South China Agricultural University, Guangzhou, China
- Guangdong Technological Engineering Research Center for Pet, Guangzhou, China
| | - Qifeng Jiang
- College of Veterinary Medicine, South China Agricultural University, Guangzhou, China
- Guangdong Technological Engineering Research Center for Pet, Guangzhou, China
| | - Zihan Chen
- College of Veterinary Medicine, South China Agricultural University, Guangzhou, China
- Guangdong Technological Engineering Research Center for Pet, Guangzhou, China
| | - Zihang Ma
- College of Veterinary Medicine, South China Agricultural University, Guangzhou, China
- Guangdong Technological Engineering Research Center for Pet, Guangzhou, China
| | - Zhen Wang
- College of Veterinary Medicine, South China Agricultural University, Guangzhou, China
- Guangdong Technological Engineering Research Center for Pet, Guangzhou, China
| | - Shoujun Li
- College of Veterinary Medicine, South China Agricultural University, Guangzhou, China
- Guangdong Technological Engineering Research Center for Pet, Guangzhou, China
| | - Kun Jia
- College of Veterinary Medicine, South China Agricultural University, Guangzhou, China
- Guangdong Technological Engineering Research Center for Pet, Guangzhou, China
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Medina JE, Castañeda S, Páez-Triana L, Camargo M, Garcia-Corredor DJ, Gómez M, Luna N, Ramírez AL, Pulido-Medellín M, Muñoz M, Ramírez JD. High prevalence of Enterovirus E, Bovine Kobuvirus, and Astrovirus revealed by viral metagenomics in fecal samples from cattle in Central Colombia. INFECTION, GENETICS AND EVOLUTION : JOURNAL OF MOLECULAR EPIDEMIOLOGY AND EVOLUTIONARY GENETICS IN INFECTIOUS DISEASES 2024; 117:105543. [PMID: 38135265 DOI: 10.1016/j.meegid.2023.105543] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Revised: 12/13/2023] [Accepted: 12/16/2023] [Indexed: 12/24/2023]
Abstract
Livestock plays a crucial role in ensuring food security and driving the global economy. However, viral infections can have far-reaching consequences beyond economic productivity, affecting the health of cattle, as well as posing risks to human health and other animals. Identifying viruses present in fecal samples, a primary route of pathogen transmission, is essential for developing effective prevention, control, and surveillance strategies. Viral metagenomic approaches offer a broader perspective and hold great potential for detecting previously unknown viruses or uncovering previously undescribed agents. Ubaté Province is Colombia's dairy capital and a key center for livestock production in the country. Therefore, the purpose of this study was to characterize viral communities in fecal samples from cattle in this region. A total of 42 samples were collected from three municipalities in Ubaté Province, located in central Colombia, using a convenient non-probabilistic sampling method. We utilized metagenomic sequencing with Oxford Nanopore Technologies (ONT), combined with diversity and phylogenetic analysis. The findings revealed a consistent and stable viral composition across the municipalities, primarily comprising members of the Picornaviridae family. At the species level, the most frequent viruses were Enterovirus E (EVE) and Bovine Astrovirus (BoAstV). Significantly, this study reported, for the first time in Colombia, the presence of viruses with veterinary importance occurring at notable frequencies: EVE (59%), Bovine Kobuvirus (BKV) (52%), and BoAstV (19%). Additionally, the study confirmed the existence of Circular replicase-encoding single-stranded (CRESS) Virus in animal feces. These sequences were phylogenetically grouped with samples obtained from Asia and Latin America, underscoring the importance of having adequate representation across the continent. The virome of bovine feces in Ubaté Province is characterized by the predominance of potentially pathogenic viruses such as BoAstV and EVE that have been reported with substantial frequency and quantities. Several of these viruses were identified in Colombia for the first time. This study showcases the utility of using metagenomic sequencing techniques in epidemiological surveillance. It also paves the way for further research on the influence of these agents on bovine health and their frecuency across the country.
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Affiliation(s)
- Julián Esteban Medina
- Centro de Investigaciones en Microbiología y Biotecnología - UR (CIMBIUR), Facultad de Ciencias Naturales, Universidad del Rosario, Bogotá, Colombia
| | - Sergio Castañeda
- Centro de Investigaciones en Microbiología y Biotecnología - UR (CIMBIUR), Facultad de Ciencias Naturales, Universidad del Rosario, Bogotá, Colombia
| | - Luisa Páez-Triana
- Centro de Investigaciones en Microbiología y Biotecnología - UR (CIMBIUR), Facultad de Ciencias Naturales, Universidad del Rosario, Bogotá, Colombia
| | - Milena Camargo
- Centro de Investigaciones en Microbiología y Biotecnología - UR (CIMBIUR), Facultad de Ciencias Naturales, Universidad del Rosario, Bogotá, Colombia; Centro de Tecnología en Salud (CETESA), Innovaseq SAS, Funza, Cundinamarca, Colombia
| | - Diego J Garcia-Corredor
- Centro de Investigaciones en Microbiología y Biotecnología - UR (CIMBIUR), Facultad de Ciencias Naturales, Universidad del Rosario, Bogotá, Colombia; Grupo de Investigación en Medicina Veterinaria y Zootecnia, Facultad de Ciencias Agropecuarias, Universidad Pedagógica y Tecnológica de Colombia, Tunja, Colombia
| | - Marcela Gómez
- Centro de Investigaciones en Microbiología y Biotecnología - UR (CIMBIUR), Facultad de Ciencias Naturales, Universidad del Rosario, Bogotá, Colombia; Grupo de Investigación en Ciencias Básicas (NÚCLEO) Facultad de Ciencias e Ingeniería, Universidad de Boyacá, Tunja, Colombia
| | - Nicolas Luna
- Centro de Investigaciones en Microbiología y Biotecnología - UR (CIMBIUR), Facultad de Ciencias Naturales, Universidad del Rosario, Bogotá, Colombia
| | - Angie L Ramírez
- Centro de Investigaciones en Microbiología y Biotecnología - UR (CIMBIUR), Facultad de Ciencias Naturales, Universidad del Rosario, Bogotá, Colombia
| | - Martín Pulido-Medellín
- Grupo de Investigación en Medicina Veterinaria y Zootecnia, Facultad de Ciencias Agropecuarias, Universidad Pedagógica y Tecnológica de Colombia, Tunja, Colombia
| | - Marina Muñoz
- Centro de Investigaciones en Microbiología y Biotecnología - UR (CIMBIUR), Facultad de Ciencias Naturales, Universidad del Rosario, Bogotá, Colombia
| | - Juan David Ramírez
- Centro de Investigaciones en Microbiología y Biotecnología - UR (CIMBIUR), Facultad de Ciencias Naturales, Universidad del Rosario, Bogotá, Colombia.
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Fu P, Wu Y, Zhang Z, Qiu Y, Wang Y, Peng Y. VIGA: a one-stop tool for eukaryotic virus identification and genome assembly from next-generation-sequencing data. Brief Bioinform 2023; 25:bbad444. [PMID: 38048079 PMCID: PMC10753531 DOI: 10.1093/bib/bbad444] [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: 04/27/2023] [Revised: 10/26/2023] [Accepted: 11/11/2023] [Indexed: 12/05/2023] Open
Abstract
Identification of viruses and further assembly of viral genomes from the next-generation-sequencing data are essential steps in virome studies. This study presented a one-stop tool named VIGA (available at https://github.com/viralInformatics/VIGA) for eukaryotic virus identification and genome assembly from NGS data. It was composed of four modules, namely, identification, taxonomic annotation, assembly and novel virus discovery, which integrated several third-party tools such as BLAST, Trinity, MetaCompass and RagTag. Evaluation on multiple simulated and real virome datasets showed that VIGA assembled more complete virus genomes than its competitors on both the metatranscriptomic and metagenomic data and performed well in assembling virus genomes at the strain level. Finally, VIGA was used to investigate the virome in metatranscriptomic data from the Human Microbiome Project and revealed different composition and positive rate of viromes in diseases of prediabetes, Crohn's disease and ulcerative colitis. Overall, VIGA would help much in identification and characterization of viromes, especially the known viruses, in future studies.
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Affiliation(s)
- Ping Fu
- Bioinformatics Center, College of Biology, Hunan Provincial Key Laboratory of Medical Virology, Hunan University, Changsha 410082, China
| | - Yifan Wu
- Bioinformatics Center, College of Biology, Hunan Provincial Key Laboratory of Medical Virology, Hunan University, Changsha 410082, China
| | - Zhiyuan Zhang
- Bioinformatics Center, College of Biology, Hunan Provincial Key Laboratory of Medical Virology, Hunan University, Changsha 410082, China
| | - Ye Qiu
- Bioinformatics Center, College of Biology, Hunan Provincial Key Laboratory of Medical Virology, Hunan University, Changsha 410082, China
| | - Yirong Wang
- Bioinformatics Center, College of Biology, Hunan Provincial Key Laboratory of Medical Virology, Hunan University, Changsha 410082, China
| | - Yousong Peng
- Bioinformatics Center, College of Biology, Hunan Provincial Key Laboratory of Medical Virology, Hunan University, Changsha 410082, China
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Chen J, Li D, Xu Y, Li Z, Ma S, Liu X, Yuan Y, Zhang C, Fu Q, Shi H. Establishment and application of multiplex droplet digital polymerase chain reaction assay for bovine enterovirus, bovine coronavirus, and bovine rotavirus. Front Vet Sci 2023; 10:1157900. [PMID: 37771940 PMCID: PMC10523346 DOI: 10.3389/fvets.2023.1157900] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2023] [Accepted: 08/30/2023] [Indexed: 09/30/2023] Open
Abstract
Bovine enterovirus (BEV), bovine coronavirus (BCoV), and bovine rotavirus (BRV) are still the major worldwide concerns in the health care of cattle, causing serious economic losses in the livestock industry. It is urgent to establish specific and sensitive methods to detect viruses for the early control of diseases. Droplet digital PCR (ddPCR) has been proposed to effectively detect viral particles, and it does not involve Ct values or standard curves. In this study, we designed specific primers and probes, based on conserved regions of viral genomes, to optimize protocols for a dual ddPCR assay for detecting BCoV and BRV and a multiplex ddPCR assay for BEV, BCoV, and BRV. Sensitivity assays revealed that the lower limit of detection for qPCR was 1,000 copies/μL and for ddPCR for BEV, BCoV, and BRV, 2.7 copies/μL, 1 copy/μL and 2.4 copies/μL, respectively. Studying 82 samples collected from diarrheal calves on a farm, our dual ddPCR method detected BCoV, BRV, and co-infection at rates of 18.29%, 14.63%, and 6.1%, respectively. In contrast, conventional qPCR methods detected BCoV, BRV, and co-infection at rates of 10.98%, 12.2%, and 3.66%, respectively. On the other hand, studying 68 samples from another farm, qPCR detected BCoV, BRV, BEV, and co-infection of BCoV and BEV at rates of 14.49%, 1.45%, 5.80%, and 1.45%, respectively. Our multiplex ddPCR method detected BCoV, BRV, BEV, co-infection of BCoV and BEV, and co-infection of BRV and BEV. at rates of 14.49%, 2.9%, 8.7%, 2.9%, and 1.45%, respectively. Studying 93 samples from another farm, qPCR detected BCoV, BRV, BEV, and co-infection of BCoV and BEV was detected at rates of 5.38%, 1.08%, 18.28%, and 1.08%, respectively. Co-infection of BCoV, BRV, BEV, BCoV, and BEV, and co-infection of BRV and BEV, were detected by multiplex ddPCR methods at rates of 5.38%, 2.15%, 20.45%, 1.08%, and 1.08%, respectively. These results indicated that our optimized dual and multiplex ddPCR methods were more effective than conventional qPCR assays to detect these viral infections.
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Affiliation(s)
- Junzhen Chen
- College of Veterinary Medicine, Xinjiang Agricultural University, Ürümqi, China
| | - Dan Li
- College of Veterinary Medicine, Xinjiang Agricultural University, Ürümqi, China
- Tecon Biology Co., Ltd., Ürümqi, China
| | - Yafang Xu
- College of Veterinary Medicine, Xinjiang Agricultural University, Ürümqi, China
| | - Zeyu Li
- College of Veterinary Medicine, Xinjiang Agricultural University, Ürümqi, China
| | - Siqi Ma
- College of Veterinary Medicine, Xinjiang Agricultural University, Ürümqi, China
| | - Xinyi Liu
- College of Veterinary Medicine, Xinjiang Agricultural University, Ürümqi, China
| | - Yuanyuan Yuan
- College of Veterinary Medicine, Xinjiang Agricultural University, Ürümqi, China
| | - Chengyuan Zhang
- College of Veterinary Medicine, Xinjiang Agricultural University, Ürümqi, China
| | - Qiang Fu
- College of Veterinary Medicine, Xinjiang Agricultural University, Ürümqi, China
| | - Huijun Shi
- College of Veterinary Medicine, Xinjiang Agricultural University, Ürümqi, China
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Luo Y, Liu H, Zou Y, Qiao C, Su Y, Zhu X, Zhang G, Huang W, Qin Y, Pan Y, Huang W. Molecular Epidemiology of Bovine Enteroviruses and Genome Characterization of Two Novel Bovine Enterovirus Strains in Guangxi, China. Microbiol Spectr 2023; 11:e0378522. [PMID: 36877012 PMCID: PMC10101013 DOI: 10.1128/spectrum.03785-22] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/16/2022] [Accepted: 02/04/2023] [Indexed: 03/07/2023] Open
Abstract
Bovine enterovirus (BEV) is a highly infectious pathogen that may cause respiratory and gastrointestinal disease outbreaks in cattle. This study aimed to investigate the prevalence and genetic characteristics of BEVs in Guangxi Province, China. A total of 1,168 fecal samples from 97 different bovine farms were collected between October 2021 and July 2022 in Guangxi Province, China. BEV was confirmed using a reverse transcription-PCR (RT-PCR) method targeting the 5' untranslated region (UTR), and isolates were genotyped by sequencing their genomes. The nearly complete genome sequences of eight BEV strains showing cytopathic effects in MDBK cells were determined and analyzed. In total, 125 (10.7%) of 1,168 fecal samples were positive for BEV. BEV infection was significantly associated with farming patterns and clinical symptoms (P < 0.05; odds ratio [OR] > 1). Molecular characterization indicated that five BEV strains from this study belonged to EV-E2 and one strain to EV-E4. Two BEV strains (GXNN2204 and GXGL2215) could not be assigned to a known type. Strain GXGL2215 showed the closest genetic relationship with GX1901 (GenBank accession number MN607030; China) in its VP1 (67.5%) and P1 (74.7%) and with NGR2017 (MH719217; Nigeria) in its polyprotein (72.0%). It was also close to the EV-E4 strain GXYL2213 from this study when the complete genome (81.7%) was compared. Strain GXNN2204 showed the closest genetic relationship with Ho12 (LC150008; Japan) in the VP1 (66.5%), P1 (71.6%), and polyprotein (73.2%). Genome sequence analysis suggested that strains GXNN2204 and GXGL2215 originated from the genomic recombination of EV-E4 and EV-F3 and EV-E2 and EV-E4, respectively. This study reports the cocirculation of multiple BEV types and the identification of two novel BEV strains in Guangxi, China, and it will provide further insights into the epidemiology and evolution of BEV in China. IMPORTANCE Bovine enterovirus (BEV) is a pathogen that causes intestinal, respiratory, and reproductive disease infections in cattle. This study reports on the widespread prevalence and biological characteristics of the different BEV types which currently exist in Guangxi Province, China. It also provides a reference for the study of the prevalence of BEV in China.
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Affiliation(s)
- Yuhang Luo
- Laboratory of Animal Infectious Diseases and Molecular Immunology, College of Animal Science and Technology, Guangxi University, Nanning, China
- Guangxi Zhuang Autonomous Region Engineering Research Center of Veterinary Biologics, Nanning, China
- Guangxi Key Laboratory of Animal Reproduction, Breeding and Disease Control, Nanning, China
- Guangxi Colleges and Universities Key Laboratory of Prevention and Control for Animal Disease, Nanning, China
| | - Huanghao Liu
- Laboratory of Animal Infectious Diseases and Molecular Immunology, College of Animal Science and Technology, Guangxi University, Nanning, China
- Guangxi Zhuang Autonomous Region Engineering Research Center of Veterinary Biologics, Nanning, China
- Guangxi Key Laboratory of Animal Reproduction, Breeding and Disease Control, Nanning, China
- Guangxi Colleges and Universities Key Laboratory of Prevention and Control for Animal Disease, Nanning, China
| | - Yanlin Zou
- Laboratory of Animal Infectious Diseases and Molecular Immunology, College of Animal Science and Technology, Guangxi University, Nanning, China
- Guangxi Zhuang Autonomous Region Engineering Research Center of Veterinary Biologics, Nanning, China
- Guangxi Key Laboratory of Animal Reproduction, Breeding and Disease Control, Nanning, China
- Guangxi Colleges and Universities Key Laboratory of Prevention and Control for Animal Disease, Nanning, China
| | - Chengpeng Qiao
- Laboratory of Animal Infectious Diseases and Molecular Immunology, College of Animal Science and Technology, Guangxi University, Nanning, China
- Guangxi Zhuang Autonomous Region Engineering Research Center of Veterinary Biologics, Nanning, China
- Guangxi Key Laboratory of Animal Reproduction, Breeding and Disease Control, Nanning, China
- Guangxi Colleges and Universities Key Laboratory of Prevention and Control for Animal Disease, Nanning, China
| | - Yaquan Su
- Guangxi Agricultural Vocational University, Nanning, China
| | - Xinyue Zhu
- Laboratory of Animal Infectious Diseases and Molecular Immunology, College of Animal Science and Technology, Guangxi University, Nanning, China
- Guangxi Zhuang Autonomous Region Engineering Research Center of Veterinary Biologics, Nanning, China
- Guangxi Key Laboratory of Animal Reproduction, Breeding and Disease Control, Nanning, China
- Guangxi Colleges and Universities Key Laboratory of Prevention and Control for Animal Disease, Nanning, China
| | - Guangxin Zhang
- Laboratory of Animal Infectious Diseases and Molecular Immunology, College of Animal Science and Technology, Guangxi University, Nanning, China
- Guangxi Zhuang Autonomous Region Engineering Research Center of Veterinary Biologics, Nanning, China
- Guangxi Key Laboratory of Animal Reproduction, Breeding and Disease Control, Nanning, China
- Guangxi Colleges and Universities Key Laboratory of Prevention and Control for Animal Disease, Nanning, China
| | - Wenfei Huang
- Guangxi Agricultural Vocational University, Nanning, China
| | - Yifeng Qin
- Laboratory of Animal Infectious Diseases and Molecular Immunology, College of Animal Science and Technology, Guangxi University, Nanning, China
- Guangxi Zhuang Autonomous Region Engineering Research Center of Veterinary Biologics, Nanning, China
- Guangxi Key Laboratory of Animal Reproduction, Breeding and Disease Control, Nanning, China
- Guangxi Colleges and Universities Key Laboratory of Prevention and Control for Animal Disease, Nanning, China
| | - Yan Pan
- Guangxi Agricultural Vocational University, Nanning, China
| | - Weijian Huang
- Laboratory of Animal Infectious Diseases and Molecular Immunology, College of Animal Science and Technology, Guangxi University, Nanning, China
- Guangxi Zhuang Autonomous Region Engineering Research Center of Veterinary Biologics, Nanning, China
- Guangxi Key Laboratory of Animal Reproduction, Breeding and Disease Control, Nanning, China
- Guangxi Colleges and Universities Key Laboratory of Prevention and Control for Animal Disease, Nanning, China
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A polymerase mechanism-based strategy constructing attenuated clones of enterovirus for vaccine vector development. Virology 2023; 580:1-7. [PMID: 36736205 DOI: 10.1016/j.virol.2023.01.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Revised: 01/08/2023] [Accepted: 01/09/2023] [Indexed: 01/19/2023]
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Antiviral Effect of Bovine Lactoferrin against Enterovirus E. Molecules 2022; 27:molecules27175569. [PMID: 36080333 PMCID: PMC9457561 DOI: 10.3390/molecules27175569] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Revised: 08/26/2022] [Accepted: 08/27/2022] [Indexed: 11/26/2022] Open
Abstract
Enterovirus E (EV-E), a representative of the Picornaviridae family, endemically affects cattle across the world, typically causing subclinical infections. However, under favorable conditions, severe or fatal disorders of the respiratory, digestive, and reproductive systems may develop. There is no specific treatment for enterovirus infections in humans or animals, and only symptomatic treatment is available. The aim of this study was to determine the in vitro antiviral effect of bovine lactoferrin (bLF) against enterovirus E using virucidal, cytopathic effect inhibition, and viral yield reduction assays in MDBK cells. The influence of lactoferrin on the intracellular viral RNA level was also determined. Surprisingly, lactoferrin did not have a protective effect on cells, although it inhibited the replication of the virus during the adsorption and post-adsorption stages (viral titres reduced by 1–1.1 log). Additionally, a decrease in the viral RNA level in cells (by up to 75%) was observed. More detailed studies are needed to determine the mechanism of bovine lactoferrin effect on enterovirus E. However, this highly biocompatible protein ensures some degree of protection against infection by bovine enterovirus, which is particularly important for young animals that receive this protein in their mother’s milk.
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