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A multiplex PCR for detection of six viruses in ducks.

Authors :
Wang Y
Zhu S
Hong W
Wang A
Zuo W
Source :
Journal of virological methods [J Virol Methods] 2017 Oct; Vol. 248, pp. 172-176. Date of Electronic Publication: 2017 Jul 17.
Publication Year :
2017

Abstract

In this study, six pairs of specific primers that can amplify DNA fragments of different sizes were designed and synthesized according to viral protein gene sequences published in GenBank. Then, a multiplex PCR method was established for rapid detection of duck hepatitis virus 1, duck plague virus, duck Tembusu virus, muscovy duck parvovirus, muscovy duck reovirus, and duck H9N2 avian influenza virus, and achieve simple and rapid detection of viral diseases in ducks. Single PCR was used to confirm primer specificity, and PCR conditions were optimized to construct a multiplex PCR system. Specificity and sensitivity assays were also developed. The multiplex PCR was used to detect duck embryos infected with mixed viruses and those with clinically suspected diseases to verify the feasibility of the multiplex PCR. Results show that the primers can specifically amplify target fragments, without any cross-amplification with other viruses. The multiplex PCR system can amplify six DNA fragments from the pooled viral genomes and specifically detect nucleic acids of the six duck susceptible viruses when the template amount is 10 <superscript>2</superscript> copies/μl. In addition, the system can be used to detect viral nucleic acids in duck embryos infected with the six common viruses. The detection results for clinical samples are consistent with those detected by single PCR. Therefore, the established multiplex PCR method can perform specific, sensitive, and high-throughput detection of six duck-infecting viruses and can be applied to clinical identification and diagnosis of viral infection in ducks.<br /> (Copyright © 2017. Published by Elsevier B.V.)

Details

Language :
English
ISSN :
1879-0984
Volume :
248
Database :
MEDLINE
Journal :
Journal of virological methods
Publication Type :
Academic Journal
Accession number :
28728835
Full Text :
https://doi.org/10.1016/j.jviromet.2017.07.004