Literature DB >> 17609352

Validation of nonnested and real-time PCR for diagnosis of sheep-associated malignant catarrhal fever in clinical samples.

Donald L Traul1, Naomi S Taus, J Lindsay Oaks, Donal O'Toole, Fred R Rurangirwa, Timothy V Baszler, Hong Li.   

Abstract

Sheep-associated malignant catarrhal fever (SA-MCF), a frequently fatal disease primarily of certain ruminants, is caused by ovine herpesvirus 2 (OvHV-2). Molecular diagnosis of SA-MCF in affected animals has relied on detection of OvHV-2 DNA using a nested PCR, which has significant potential for amplicon contamination as a routine method in diagnostic laboratories. In this report, a nonnested and a previously developed real-time PCR were validated for detection of OvHV-2 DNA in samples from clinically affected animals. Three sets of blood or tissue samples were collected: 1) 97 samples from 97 naturally affected animals with evidence of clinical SA-MCF; 2) 200 samples from 8 animals with experimentally induced SA-MCF; and 3) 100 samples from 100 animals without any evidence of clinical SA-MCF. Among 97 positive samples defined by nested PCR from clinically affected animals, 95 (98%) were positive by nonnested PCR and 93 (96%) were positive by real-time PCR, respectively. One hundred percent of the samples from the animals with experimentally induced MCF were positive by real-time PCR, while 99% were positive by nonnested PCR. Neither nonnested PCR nor real-time PCR yielded a positive result on any of the 100 nested PCR-negative samples from animals without evidence of clinical MCF. The data confirmed that both nonnested and real-time PCR maintained high specificity and sensitivity for the detection of OvHV-2 DNA in clinical samples.

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Year:  2007        PMID: 17609352     DOI: 10.1177/104063870701900412

Source DB:  PubMed          Journal:  J Vet Diagn Invest        ISSN: 1040-6387            Impact factor:   1.279


  8 in total

1.  Development of a multiplex real-time PCR for detection and differentiation of malignant catarrhal fever viruses in clinical samples.

Authors:  Cristina W Cunha; Lisa Otto; Naomi S Taus; Donald P Knowles; Hong Li
Journal:  J Clin Microbiol       Date:  2009-06-03       Impact factor: 5.948

2.  High copy number of ovine gammaherpesvirus 2 DNA associated with malignant catarrhal fever-like syndrome in a lamb.

Authors:  Ida L Phillips; Cristina W Cunha; Dustin Galbraith; Margaret A Highland; Robert J Bildfell; Hong Li
Journal:  J Vet Diagn Invest       Date:  2018-04-06       Impact factor: 1.279

3.  An observational study of mortality on bison farms in Saskatchewan with special emphasis on malignant catarrhal fever.

Authors:  Tasha Epp; Cheryl Waldner; Murray Woodbury
Journal:  Can Vet J       Date:  2016-01       Impact factor: 1.008

4.  Sheep associated malignant catarrhal fever: an emerging disease of bovids in India.

Authors:  Richa Sood; D Hemadri; S Bhatia
Journal:  Indian J Virol       Date:  2013-09-21

Review 5.  Malignant catarrhal fever: understanding molecular diagnostics in context of epidemiology.

Authors:  Hong Li; Cristina W Cunha; Naomi S Taus
Journal:  Int J Mol Sci       Date:  2011-10-18       Impact factor: 5.923

6.  Malignant Catarrhal Fever in Brazilian cattle presenting with neurological syndrome.

Authors:  Maira de S N Martins; Alessandra M M G de Castro; Michele Dos S Lima; Vivian da S C Pinto; Thaís G da Silva; Claudia Del Fava; Claudio Regis Depes; Liria H Okuda; Edviges M Pituco
Journal:  Braz J Microbiol       Date:  2017-01-02       Impact factor: 2.476

7.  MeltMan: Optimization, Evaluation, and Universal Application of a qPCR System Integrating the TaqMan qPCR and Melting Analysis into a Single Assay.

Authors:  Alexander Nagy; Lenka Černíková; Eliška Vitásková; Vlastimil Křivda; Ádám Dán; Zuzana Dirbáková; Helena Jiřincová; Bohumír Procházka; Kamil Sedlák; Martina Havlíčková
Journal:  PLoS One       Date:  2016-03-31       Impact factor: 3.240

8.  Exposure to viral and bacterial pathogens among Soay sheep (Ovis aries) of the St Kilda archipelago.

Authors:  A L Graham; D H Nussey; J O Lloyd-Smith; D Longbottom; M Maley; J M Pemberton; J G Pilkington; K C Prager; L Smith; K A Watt; K Wilson; T N McNEILLY; F Brülisauer
Journal:  Epidemiol Infect       Date:  2016-02-01       Impact factor: 2.451

  8 in total

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