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Isolation and characterization of a distinct duck-origin goose parvovirus causing an outbreak of duckling short beak and dwarfism syndrome in China

Overview of attention for article published in Archives of Virology, June 2016
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Title
Isolation and characterization of a distinct duck-origin goose parvovirus causing an outbreak of duckling short beak and dwarfism syndrome in China
Published in
Archives of Virology, June 2016
DOI 10.1007/s00705-016-2926-4
Pubmed ID
Authors

Shilong Chen, Shao Wang, Xiaoxia Cheng, Shifeng Xiao, Xiaoli Zhu, Fengqiang Lin, Nanyang Wu, Jinxiang Wang, Meiqing Huang, Min Zheng, Shaoying Chen, Fusong Yu

Abstract

Many mule duck and Cherry Valley duck flocks in different duck-producing regions of China have shown signs of an apparently new disease designated "short beak and dwarfism syndrome" (SBDS) since 2015. The disease is characterized by dyspraxia, weight loss, a protruding tongue, and high morbidity and low mortality rates. In order to characterize the etiological agent, a virus designated SBDSV M15 was isolated from allantoic fluid of dead embryos following serial passage in duck embryos. This virus causes a cytopathic effect in duck embryo fibroblast (DEF) cells. Using monoclonal antibody diagnostic assays, the SBDSV M15 isolate was positive for the antigen of goose parvovirus but not Muscovy duck parvovirus. A 348-bp (2604-2951) VP1gene fragment was amplified, and its sequence indicated that the virus was most closely related to a Hungarian GPV strain that was also isolated from mule ducks with SBDS disease. A similar disease was reproduced by inoculating birds with SBDSV M15. Together, these data indicate that SBDSV M15 is a GPV-related parvovirus causing SBDS disease and that it is divergent from classical GPV isolates.

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Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 3 18%
Student > Bachelor 2 12%
Lecturer 1 6%
Student > Doctoral Student 1 6%
Professor 1 6%
Other 3 18%
Unknown 6 35%
Readers by discipline Count As %
Agricultural and Biological Sciences 3 18%
Veterinary Science and Veterinary Medicine 2 12%
Sports and Recreations 2 12%
Unspecified 1 6%
Medicine and Dentistry 1 6%
Other 0 0%
Unknown 8 47%