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Multiplex reverse transcription-PCR for rapid differential detection of porcine epidemic diarrhea virus, transmissible gastroenteritis virus, and porcine group A rotavirus

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Authors

Song, Dae S.; Kang, Bo K.; Oh, Jin S.; Ha, Gun W.; Yang, Jeong Sun; Moon, Hyoung J.; Jang, Yong-Suk; Park, BongKyun

Issue Date
2006
Publisher
American Association of Veterinary Laboratory Diagnosticians (AAVLD)
Citation
J Vet Diagn Invest 18:278-281
Keywords
Multiplex reverse transcription-PCRporcine enteric viruses
Abstract
A novel multiplex reverse transcription polymerase chain reaction (multiplex RT-PCR) that can
detect porcine epidemic diarrhea virus (PEDV), transmissible gastroenteritis virus (TGEV), and porcine group
A rotavirus (GAR) was developed. The 3 viruses (PEDV, TGEV, and porcine GAR) are major agents in viral
enteric diseases of piglets. As the clinical signs of these diseases are similar, including watery diarrhea,
differential detection is required for etiologic diagnosis. A mixture of 3 pairs of published primers was used for
amplification of viral nucleic acids, yielding 3 different amplicons with sizes of 859 bp, 651 bp, and 309 bp for
TGEV, PEDV, and porcine GAR, respectively. A total of 157 specimens (78 fecal and 79 intestinal samples)
from piglets with acute gastroenteritis were collected in Korea between January 2004 and May 2005. They
were tested for the presence of 3 viruses by multiplex RT-PCR. Coinfections with PEDV and porcine GAR
were identified in 16 farms (43.2%). PEDV, porcine GAR, and TGEV infection were 26.3%, 13.2%, and 2.7%
respectively. The relative sensitivity and specificity of multiplex RT-PCR were evaluated, with results
suggesting that this assay is equal in quality to conventional single-agent RT-PCR assays (sensitivity:100%,
92.9%, 100% for TGEV, PEDV, GARs; specificity: 100% for all 3 viruses). This multiplex RT-PCR is a simple
assay and may be a potentially useful for rapid, sensitive, and cost-effective etiological diagnostic tool for
acute viral gastroenteritis in piglets.
ISSN
1040-6387
Language
English
URI
http://jvdi.org/cgi/content/abstract/18/3/278

https://hdl.handle.net/10371/6544
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