Literature DB >> 19577384

A multiplex RT-PCR assay for the rapid and differential diagnosis of classical swine fever and other pestivirus infections.

Heidy Díaz de Arce1, Lester J Pérez, Maria T Frías, Rosa Rosell, Joan Tarradas, José I Núñez, Llilianne Ganges.   

Abstract

Classical swine fever is a highly contagious viral disease causing severe economic losses in pig production almost worldwide. All pestivirus species can infect pigs, therefore accurate and rapid pestivirus detection and differentiation is of great importance to assure control measures in swine farming. Here we describe the development and evaluation of a novel multiplex, highly sensitive and specific RT-PCR for the simultaneous detection and rapid differentiation between CSFV and other pestivirus infections in swine. The universal and differential detection was based on primers designed to amplify a fragment of the 5' non-coding genome region for the detection of pestiviruses and a fragment of the NS5B gene for the detection of classical swine fever virus. The assay proved to be specific when different pestivirus strains from swine and ruminants were evaluated. The analytical sensitivity was estimated to be as little as 0.89TCID(50). The assay analysis of 30 tissue homogenate samples from naturally infected and non-CSF infected animals and 40 standard serum samples evaluated as part of two European Inter-laboratory Comparison Tests conducted by the European Community Reference Laboratory, Hanover, Germany proved that the multiplex RT-PCR method provides a rapid, highly sensitive, and cost-effective laboratory diagnosis for classical swine fever and other pestivirus infections in swine.

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Year:  2009        PMID: 19577384     DOI: 10.1016/j.vetmic.2009.06.004

Source DB:  PubMed          Journal:  Vet Microbiol        ISSN: 0378-1135            Impact factor:   3.293


  9 in total

1.  Development of multiplex TaqMan qPCR for simultaneous detection and differentiation of eight common swine viral and bacterial pathogens.

Authors:  Qi Zhang; Feng Yang; Jie Gao; Weimin Zhang; Xingang Xu
Journal:  Braz J Microbiol       Date:  2021-10-28       Impact factor: 2.476

2.  Evaluation of antibody and antigen cross-reaction in Kenyan dairy cattle naturally infected with two pestiviruses: Bovine viral diarrhea virus and classical swine fever virus.

Authors:  Daniel Muasya; John Van Leeuwen; George Gitau; Shawn McKenna; Luke Heider; Joan Muraya
Journal:  Vet World       Date:  2022-05-24

3.  Single-tube multiplexed molecular detection of endemic porcine viruses in combination with background screening for transboundary diseases.

Authors:  Kerstin Wernike; Bernd Hoffmann; Martin Beer
Journal:  J Clin Microbiol       Date:  2013-01-09       Impact factor: 5.948

4.  Classical Swine Fever Virus vs. Classical Swine Fever Virus: The Superinfection Exclusion Phenomenon in Experimentally Infected Wild Boar.

Authors:  Sara Muñoz-González; Marta Pérez-Simó; Andreu Colom-Cadena; Oscar Cabezón; José Alejandro Bohórquez; Rosa Rosell; Lester Josué Pérez; Ignasi Marco; Santiago Lavín; Mariano Domingo; Llilianne Ganges
Journal:  PLoS One       Date:  2016-02-26       Impact factor: 3.240

5.  Unusual severe cases of type 1 porcine reproductive and respiratory syndrome virus (PRRSV) infection in conventionally reared pigs in South Korea.

Authors:  Kwang-Soo Lyoo; Minjoo Yeom; Jong-Young Choi; Jong-Hwan Park; Sun-Woo Yoon; Daesub Song
Journal:  BMC Vet Res       Date:  2015-10-24       Impact factor: 2.741

6.  Multi-Target Strategy for Pan/Foot-and-Mouth Disease Virus (FMDV) Detection: A Combination of Sequences Analysis, in Silico Predictions and Laboratory Diagnostic Evaluation.

Authors:  Liliam Rios; Carmen L Perera; Liani Coronado; Damarys Relova; Ana M Álvarez; Llilianne Ganges; Heidy Díaz de Arce; José I Núñez; Lester J Pérez
Journal:  Front Vet Sci       Date:  2018-07-12

7.  Understanding the Genetic Diversity of Picobirnavirus: A Classification Update Based on Phylogenetic and Pairwise Sequence Comparison Approaches.

Authors:  Lester J Perez; Gavin A Cloherty; Michael G Berg
Journal:  Viruses       Date:  2021-07-28       Impact factor: 5.048

8.  In vitro antimicrobial activities of animal-used quinoxaline 1,4-di-N-oxides against mycobacteria, mycoplasma and fungi.

Authors:  Yan Zhao; Guyue Cheng; Haihong Hao; Yuanhu Pan; Zhenli Liu; Menghong Dai; Zonghui Yuan
Journal:  BMC Vet Res       Date:  2016-09-06       Impact factor: 2.741

9.  Impact of RNA Degradation on Viral Diagnosis: An Understated but Essential Step for the Successful Establishment of a Diagnosis Network.

Authors:  Damarys Relova; Liliam Rios; Ana M Acevedo; Liani Coronado; Carmen L Perera; Lester J Pérez
Journal:  Vet Sci       Date:  2018-02-06
  9 in total

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