Authors:
Katarzyna Podgórska National Veterinary Research Institute Swine Diseases Department Al. Partyzantów 57 24-100 Puławy Poland

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Tomasz Stadejek National Veterinary Research Institute Swine Diseases Department Al. Partyzantów 57 24-100 Puławy Poland

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Classical swine fever is a highly contagious, notifiable disease of pigs and wild boars listed by the World Organisation for Animal Health (OIE). Therefore, methods employed in the diagnosis of CSF should be fast, sensitive and specific. The aim of this study was optimisation of the reverse transcription reaction to increase the sensitivity of real-time RT-PCR for the detection of classical swine fever virus, the aetiological agent of the disease. The efficiency of reverse transcription reaction was compared including a range of reverse transcriptases, thermal conditions and priming methods based on results obtained in the following realtime PCR. Depending on catalysis and the priming method used in the study a significant diversity of results was observed. The best efficacy of reverse transcription was obtained using SuperScript II reverse transcriptase and priming with random nonamers and reverse, gene-specific primer. This combination improved the sensitivity of RT-PCR nearly 1000 times as compared to the method with AMV reverse transcriptase coupled with random hexamers. In summary, this study has demonstrated that the optimisation of reverse transcription can contribute to a higher sensitivity of RT-PCR diagnostic methods.

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Senior editors

Editor-in-Chief: Ferenc BASKA

Editorial assistant: Szilvia PÁLINKÁS

 

Editorial Board

  • Mária BENKŐ (Acta Veterinaria Hungarica, Budapest, Hungary)
  • Gábor BODÓ (University of Veterinary Medicine, Budapest, Hungary)
  • Béla DÉNES (University of Veterinary Medicine, Budapest Hungary)
  • Edit ESZTERBAUER (Veterinary Medical Research Institute, Budapest, Hungary)
  • Hedvig FÉBEL (University of Veterinary Medicine, Budapest, Hungary)
  • László FODOR (University of Veterinary Medicine, Budapest, Hungary)
  • János GÁL (University of Veterinary Medicine, Budapest, Hungary)
  • Balázs HARRACH (Veterinary Medical Research Institute, Budapest, Hungary)
  • Peter MASSÁNYI (Slovak University of Agriculture in Nitra, Nitra, Slovak Republic)
  • Béla NAGY (Veterinary Medical Research Institute, Budapest, Hungary)
  • Tibor NÉMETH (University of Veterinary Medicine, Budapest, Hungary)
  • Zsuzsanna NEOGRÁDY (University of Veterinary Medicine, Budapest, Hungary)
  • Dušan PALIĆ (Ludwig Maximilian University, Munich, Germany)
  • Alessandra PELAGALLI (University of Naples Federico II, Naples, Italy)
  • Kurt PFISTER (Ludwig-Maximilians-University of Munich, Munich, Germany)
  • László SOLTI (University of Veterinary Medicine, Budapest, Hungary)
  • József SZABÓ (University of Veterinary Medicine, Budapest, Hungary)
  • Péter VAJDOVICH (University of Veterinary Medicine, Budapest, Hungary)
  • János VARGA (University of Veterinary Medicine, Budapest, Hungary)
  • Štefan VILČEK (University of Veterinary Medicine in Kosice, Kosice, Slovak Republic)
  • Károly VÖRÖS (University of Veterinary Medicine, Budapest, Hungary)
  • Herbert WEISSENBÖCK (University of Veterinary Medicine, Vienna, Austria)
  • Attila ZSARNOVSZKY (Szent István University, Gödöllő, Hungary)

ACTA VETERINARIA HUNGARICA
Institute for Veterinary Medical Research
Centre for Agricultural Research
Hungarian Academy of Sciences
P.O. Box 18, H-1581 Budapest, Hungary
Phone: (36 1) 287 7073 (ed.-in-chief) or (36 1) 467 4081 (editor)

E-mail: acta.veterinaria@univet.hu (ed.-in-chief)

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2023  
Web of Science  
Journal Impact Factor 0.7
Rank by Impact Factor Q3 (Veterinary Sciences)
Journal Citation Indicator 0.4
Scopus  
CiteScore 1.8
CiteScore rank Q2 (General Veterinary)
SNIP 0.39
Scimago  
SJR index 0.258
SJR Q rank Q3

Acta Veterinaria Hungarica
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Acta Veterinaria Hungarica
Language English
Size A4
Year of
Foundation
1951
Volumes
per Year
1
Issues
per Year
4
Founder Magyar Tudományos Akadémia
Founder's
Address
H-1051 Budapest, Hungary, Széchenyi István tér 9.
Publisher Akadémiai Kiadó
Publisher's
Address
H-1117 Budapest, Hungary 1516 Budapest, PO Box 245.
Responsible
Publisher
Chief Executive Officer, Akadémiai Kiadó
ISSN 0236-6290 (Print)
ISSN 1588-2705 (Online)

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