Journal article
Exploring the virome of cattle with non-suppurative encephalitis of unknown etiology by metagenomics.
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Wüthrich D
Interfaculty Bioinformatics Unit, University of Bern and Swiss Institute of Bioinformatics, Bern, Switzerland; Graduate School for Cellular and Biomedical Sciences, University of Bern, Bern, Switzerland.
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Boujon CL
Neurocenter, Division of Neurological Sciences, Vetsuisse Faculty, University of Bern, Bern, Switzerland.
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Truchet L
Neurocenter, Division of Neurological Sciences, Vetsuisse Faculty, University of Bern, Bern, Switzerland.
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Selimovic-Hamza S
Graduate School for Cellular and Biomedical Sciences, University of Bern, Bern, Switzerland; Neurocenter, Division of Neurological Sciences, Vetsuisse Faculty, University of Bern, Bern, Switzerland.
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Oevermann A
Neurocenter, Division of Neurological Sciences, Vetsuisse Faculty, University of Bern, Bern, Switzerland.
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Bouzalas IG
Neurocenter, Division of Neurological Sciences, Vetsuisse Faculty, University of Bern, Bern, Switzerland.
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Bruggmann R
Interfaculty Bioinformatics Unit, University of Bern and Swiss Institute of Bioinformatics, Bern, Switzerland.
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Seuberlich T
Neurocenter, Division of Neurological Sciences, Vetsuisse Faculty, University of Bern, Bern, Switzerland. Electronic address: torsten.seuberlich@vetsuisse.unibe.ch.
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English
Non-suppurative encephalitis is one of the most frequent pathological diagnosis in cattle with neurological disease, but there is a gap in the knowledge on disease-associated pathogens. In order to identify viruses that are associated with non-suppurative encephalitis in cattle, we used a viral metagenomics approach on a sample set of 16 neurologically-diseased cows. We detected six virus candidates: parainfluenza virus 5 (PIV-5), bovine astrovirus CH13/NeuroS1 (BoAstV-CH13/NeuroS1), bovine polyomavirus 2 (BPyV-2 SF), ovine herpesvirus 2 (OvHV-2), bovine herpesvirus 6 (BHV-6) and a novel bovine betaretrovirus termed BoRV-CH15. In a case-control study using PCR, BoAstV-CH13 (p=0.046), BoPV-2 SF (p=0.005) and BoHV-6 (p=4.3E-05) were statistically associated with the disease. These data expand our knowledge on encephalitis-associated pathogens in cattle and point to the value of NGS in resolving complex infection scenarios in a clinical disease setting.
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Language
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Open access status
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hybrid
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Identifiers
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Persistent URL
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https://sonar.ch/global/documents/140316
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