Literature DB >> 17823393

Evaluation of the sensitivity of reverse-transcription polymerase chain reaction to detect porcine reproductive and respiratory syndrome virus on individual and pooled samples from boars.

Albert Rovira1, Travis Clement, Jane Christopher-Hennings, Bob Thompson, Mark Engle, Darwin Reicks, Claudia Muñoz-Zanzi.   

Abstract

Boar studs are continuously monitored for the presence of porcine reproductive and respiratory syndrome virus (PRRSV) by testing different biological samples by reverse-transcription polymerase chain reaction (RT-PCR). In most cases, samples are run in pools, even though the impact of pooling on the sensitivity of RT-PCR is unknown. The objective of this study was to evaluate the feasibility of using PCR on pooled samples through the estimation of the sensitivity of RT-PCR on different biological samples run individually, in pools of 3 and in pools of 5. Twenty-nine boars were inoculated with a low virulent PRRSV isolate. Serum, blood swab, and semen samples were obtained from each boar every 2 to 3 days for 2 weeks. Each sample was tested by RT-PCR undiluted or diluted 1:3 and 1:5 with negative samples. Eleven of the 29 boars did not appear to get infected from the inoculum, as evidenced by no seroconversion 15 days after inoculation. Data from the other 18 boars showed that serum was the best sample to detect PRRSV during acute infection, with the blood swab sample performing almost as well. Semen samples failed to detect PRRSV infection in most of the cases. Pooling samples at pool sizes of 3 and 5 resulted in a decrease in the sensitivity of RT-PCR. Sensitivity was reduced by 6% and 8%, respectively, when serum or blood swab samples were run in pools of 5. The impact of pooling on the sensitivity of PCR was higher in samples taken during the beginning of the viremic period.

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Year:  2007        PMID: 17823393     DOI: 10.1177/104063870701900507

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


  9 in total

1.  Clinical signs and their association with herd demographics and porcine reproductive and respiratory syndrome (PRRS) control strategies in PRRS PCR-positive swine herds in Ontario.

Authors:  Beth Young; Cate Dewey; Zvonimir Poljak; Thomas Rosendal; Susy Carman
Journal:  Can J Vet Res       Date:  2010-07       Impact factor: 1.310

2.  Comparison of commercial real-time reverse transcription-PCR assays for reliable, early, and rapid detection of heterologous strains of porcine reproductive and respiratory syndrome virus in experimentally infected or noninfected boars by use of different sample types.

Authors:  Priscilla F Gerber; Kevin O'Neill; Olajide Owolodun; Chong Wang; Karen Harmon; Jianqiang Zhang; Patrick G Halbur; Lei Zhou; Xiang-Jin Meng; Tanja Opriessnig
Journal:  J Clin Microbiol       Date:  2012-12-05       Impact factor: 5.948

3.  Evidence of long distance airborne transport of porcine reproductive and respiratory syndrome virus and Mycoplasma hyopneumoniae.

Authors:  Scott Dee; Satoshi Otake; Simone Oliveira; John Deen
Journal:  Vet Res       Date:  2009-04-21       Impact factor: 3.683

4.  Effect of litter aggregation and pooling on detection of porcine reproductive and respiratory virus in piglet processing fluids.

Authors:  Carles Vilalta; Jake Baker; Juan Sanhueza; Deb Murray; Amanda Sponheim; Julio Alvarez; Fred Sylvia; Dale Polson; Montse Torremorell; Cesar Corzo; Robert B Morrison
Journal:  J Vet Diagn Invest       Date:  2019-05-23       Impact factor: 1.279

5.  OptisampleTM: Open web-based application to optimize sampling strategies for active surveillance activities at the herd level illustrated using Porcine Respiratory Reproductive Syndrome (PRRS).

Authors:  Anna Alba; Robert E Morrison; Ann Cheeran; Albert Rovira; Julio Alvarez; Andres M Perez
Journal:  PLoS One       Date:  2017-07-18       Impact factor: 3.240

6.  Monitoring PRRSV-1 in suckling piglets in an endemic herd using reverse transcriptase quantitative real time polymerase chain reaction: comparison of the rate of detection in serum and oral fluid samples and evaluation of pooling.

Authors:  Arnaud Lebret; Gwenaël Boulbria; Pauline Berton; Pierre-Yves Moalic; Jean Le Guennec; Franck Bouchet; Vincent Auvigne; Valérie Normand
Journal:  Porcine Health Manag       Date:  2019-02-19

7.  Role of IFNLR1 gene in PRRSV infection of PAM cells.

Authors:  Ming Qin; Wei Chen; Zhixin Li; Lixue Wang; Lixia Ma; Jinhong Geng; Yu Zhang; Jing Zhao; Yongqing Zeng
Journal:  J Vet Sci       Date:  2021-05       Impact factor: 1.672

8.  Infectivity of porcine circovirus type 2 DNA in semen from experimentally-infected boars.

Authors:  Darin M Madson; Sheela Ramamoorthy; Chris Kuster; Narinder Pal; Xiang-Jin Meng; Patrick G Halbur; Tanja Opriessnig
Journal:  Vet Res       Date:  2008-10-31       Impact factor: 3.683

9.  Evaluation of pooled sample analysis strategy in expediting case detection in areas with emerging outbreaks of COVID-19: A pilot study.

Authors:  Anirudh K Singh; Ram Kumar Nema; Ankur Joshi; Prem Shankar; Shashwati Nema; Arun Raghuwanshi; Chitra Patankar; Bijina J Mathew; Arti Shrivas; Ritu Pandey; Ranu Tripathi; Debasis Biswas; Sarman Singh
Journal:  PLoS One       Date:  2020-09-22       Impact factor: 3.240

  9 in total

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