About

Log in?

DTU users get better search results including licensed content and discounts on order fees.

Anyone can log in and get personalized features such as favorites, tags and feeds.

Log in as DTU user Log in as non-DTU user No thanks

DTU Findit

Journal article

Identification and characterization of deer astroviruses

From

Erasmus University Medical Center1

Section of Fur Animal Diseases and Wildlife, Division of Poultry, Fish and Fur Animals, National Veterinary Institute, Technical University of Denmark2

Division of Poultry, Fish and Fur Animals, National Veterinary Institute, Technical University of Denmark3

National Veterinary Institute, Technical University of Denmark4

The threat of emerging infectious viruses in humans requires a more effective approach regarding virus surveillance. A thorough understanding of virus diversity in wildlife provides epidemiological baseline information about pathogens and may lead to the identification of newly emerging pathogens in the future.

In this study, diarrhoea samples from an outbreak of gastrointestinal illness in a Danish population of European roe deer were gathered for which no aetiological agent could be identified. Large-scale molecular RNA virus screening, based on host nucleic acid depletion, sequence-independent amplification and sequencing of partially purified viral RNA, revealed the presence of novel astroviruses, CcAstV-1 and CcAstV-2, in two of ten diarrhoea samples.

Whether these viruses were responsible for causing diarrhoea remains to be determined. Phylogenetic analyses on amplified sequences showed that these viruses were most closely related to each other, were a novel species in the genus Mamastrovirus and may represent two different serotypes.

Language: English
Publisher: Society for General Microbiology
Year: 2010
Pages: 2719-2722
ISSN: 14652099 and 00221317
Types: Journal article
DOI: 10.1099/vir.0.024067-0

DTU users get better search results including licensed content and discounts on order fees.

Log in as DTU user

Access

Analysis