Literature DB >> 32552416

Development of a droplet digital PCR for detection and quantification of porcine epidemic diarrhea virus.

Wei W Cao1, Dong S He1, Zhen J Chen1, Yu Z Zuo1, Xun Chen1, Yan L Chang1, Zhi G Zhang1, Lei Ye1, Lei Shi1.   

Abstract

Porcine epidemic diarrhea, a disease caused by porcine epidemic diarrhea virus (PEDV), results in large economic losses to the global swine industry. To manage this disease effectively, it is essential to detect PEDV early and accurately. We developed a sensitive and accurate droplet digital PCR (ddPCR) assay to detect PEDV. The optimal primer-to-probe concentration and melting temperature were identified as 300:200 nM and 59.2°C, respectively. The specificity of the ddPCR assay was confirmed by negative test results for common swine pathogens. The detection limit for the ddPCR was 0.26 copies/μL, which is a 5.7-fold increase in sensitivity compared to that of real-time PCR (rtPCR). Both ddPCR and rtPCR assays exhibited good linearity, although ddPCR provided higher sensitivity for clinical detection compared to that of rtPCR. Our ddPCR methodology provides a promising tool for evaluating the PEDV viral load when used for clinical testing, particularly for detecting samples with low-copy viral loads.

Entities:  

Keywords:  detection; droplet digital PCR; porcine epidemic diarrhea virus; quantification

Mesh:

Year:  2020        PMID: 32552416      PMCID: PMC7438641          DOI: 10.1177/1040638720924753

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


  18 in total

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Journal:  Methods Mol Biol       Date:  2013

2.  Species identification and quantification in meat and meat products using droplet digital PCR (ddPCR).

Authors:  C Floren; I Wiedemann; B Brenig; E Schütz; J Beck
Journal:  Food Chem       Date:  2014-11-01       Impact factor: 7.514

3.  Species identification and quantification of silver pomfret using the droplet digital PCR assay.

Authors:  Weiwei Cao; Yiming Li; Xun Chen; Yanlei Chang; Lili Li; Lei Shi; Weibin Bai; Lei Ye
Journal:  Food Chem       Date:  2019-08-05       Impact factor: 7.514

4.  Multiplex PCR and multiplex RT-PCR for inclusive detection of major swine DNA and RNA viruses in pigs with multiple infections.

Authors:  Hirohito Ogawa; Osamu Taira; Takuya Hirai; Hiromi Takeuchi; Aki Nagao; Yoshiki Ishikawa; Kotaro Tuchiya; Tetsuo Nunoya; Susumu Ueda
Journal:  J Virol Methods       Date:  2009-05-23       Impact factor: 2.014

5.  Identification and pathogenicity of a variant porcine epidemic diarrhea virus field strain with reduced virulence.

Authors:  Xiangbin Zhang; Yongfei Pan; Dongdong Wang; Xiaoyan Tian; Yanhua Song; Yongchang Cao
Journal:  Virol J       Date:  2015-06-12       Impact factor: 4.099

Review 6.  Porcine epidemic diarrhea virus: An emerging and re-emerging epizootic swine virus.

Authors:  Changhee Lee
Journal:  Virol J       Date:  2015-12-22       Impact factor: 4.099

7.  Multiplex quantification of four DNA targets in one reaction with Bio-Rad droplet digital PCR system for GMO detection.

Authors:  David Dobnik; Dejan Štebih; Andrej Blejec; Dany Morisset; Jana Žel
Journal:  Sci Rep       Date:  2016-10-14       Impact factor: 4.379

8.  Droplet volume variability as a critical factor for accuracy of absolute quantification using droplet digital PCR.

Authors:  Alexandra Bogožalec Košir; Carla Divieto; Jernej Pavšič; Stefano Pavarelli; David Dobnik; Tanja Dreo; Roberto Bellotti; Maria Paola Sassi; Jana Žel
Journal:  Anal Bioanal Chem       Date:  2017-09-18       Impact factor: 4.142

9.  Development of reverse transcription loop-mediated isothermal amplification for rapid detection of porcine epidemic diarrhea virus.

Authors:  Xiaofeng Ren; Pengchong Li
Journal:  Virus Genes       Date:  2011-02-01       Impact factor: 2.332

10.  Comparison of droplet digital PCR and seminested real-time PCR for quantification of cell-associated HIV-1 RNA.

Authors:  Maja Kiselinova; Alexander O Pasternak; Ward De Spiegelaere; Dirk Vogelaers; Ben Berkhout; Linos Vandekerckhove
Journal:  PLoS One       Date:  2014-01-21       Impact factor: 3.240

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  1 in total

1.  SARS-CoV-2 RNA quantification using droplet digital RT-PCR.

Authors:  Natalie N Kinloch; Gordon Ritchie; Winnie Dong; Kyle D Cobarrubias; Hanwei Sudderuddin; Tanya Lawson; Nancy Matic; Julio S G Montaner; Victor Leung; Marc G Romney; Christopher F Lowe; Chanson J Brumme; Zabrina L Brumme
Journal:  J Mol Diagn       Date:  2021-05-29       Impact factor: 5.568

  1 in total

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