scholarly journals Diagnostic efficacy of molecular assays for the viral haemorrhagic septicaemia virus isolates from the Czech Republic

2017 ◽  
Vol 86 (3) ◽  
pp. 207-212 ◽  
Author(s):  
Ľubomír Pojezdal ◽  
Dagmar Pokorová ◽  
Stanislava Reschová ◽  
Miroslava Palíková ◽  
Monika Vícenová ◽  
...  

The diagnostic properties of the one-step real-time reverse-transcription polymerase chain reaction assay for viral haemorrhagic septicaemia virus detection were compared to methods currently in use in the Czech Republic, namely, virus isolation using the cell culture and conventional reverse-transcription polymerase chain reaction followed by the nested polymerase chain reaction. The assays were tested on a panel of 25 archived viral haemorrhagic septicaemia isolates and 8 archived infectious haematopoietic necrosis isolates obtained from monitoring and/or outbreaks of the diseases among farmed salmonids in the Czech Republic. The ability to detect the presence of the virus in the tissues of fish was tested on additional 32 field samples collected from the rainbow trout (Oncorhynchus mykiss), brown trout (Salmo trutta) and brook trout (Salvelinus fontinalis). The real-time assay showed the highest analytic sensitivity by detecting the presence of viral nucleic acid in samples with 10-7 dilution, whereas the sensitivity of the conventional polymerase chain reaction peaked at 10-5. Diagnostic specificity of both molecular assays was confirmed by absence of cross-reactivity with the infectious haematopoietic necrosis virus isolates. This, along with consistent results in the detection of the virus in the fish tissues, confirms that the one-step real-time reverse-transcription polymerase chain reaction is currently an optimal stand-alone diagnostic method for the detection of the viral haemorrhagic septicaemia virus.

2006 ◽  
Vol 175 (4S) ◽  
pp. 485-486
Author(s):  
Sabarinath B. Nair ◽  
Christodoulos Pipinikas ◽  
Roger Kirby ◽  
Nick Carter ◽  
Christiane Fenske

2004 ◽  
Vol 73 (1) ◽  
pp. 118-122 ◽  
Author(s):  
Gagandeep Kang ◽  
Miren Iturriza-Gomara ◽  
Jeremy G. Wheeler ◽  
Premila Crystal ◽  
Bindhu Monica ◽  
...  

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