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Sensitive and Specific Quantitative Detection of Rotavirus A by One-Step Real-Time Reverse Transcription-PCR Assay without Antecedent Double-Stranded-RNA Denaturation
Author(s) -
Slavica Mijatovic-Rustempasic,
Ka Ian Tam,
Tara Kerin,
Jamie Lewis,
Rashi Gautam,
Osbourne Quaye,
Jon R. Gentsch,
Michael D. Bowen
Publication year - 2013
Publication title -
journal of clinical microbiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.349
H-Index - 255
eISSN - 1070-633X
pISSN - 0095-1137
DOI - 10.1128/jcm.01192-13
Subject(s) - biology , thermus thermophilus , microbiology and biotechnology , rotavirus , real time polymerase chain reaction , reverse transcription polymerase chain reaction , reverse transcriptase , caliciviridae , virology , rna , virus , gene , genetics , messenger rna , norovirus , escherichia coli
A real-time quantitative reverse transcription-PCR (qRT-PCR) assay using the recombinant thermostableThermus thermophilus (rTth ) enzyme was developed to detect and quantify rotavirus A (RVA). By using rTth polymerase, significant improvement was achieved over the existing real-time RT-PCR assays, which require denaturation of the RVA double-stranded RNA (dsRNA) prior to assay setup. Using a dsRNA transcript for segment 7, which encodes the assay target NSP3 gene, the limit of detection for the improved assay was calculated to be approximately 1 genome copy per reaction. The NSP3 qRT-PCR assay was validated using a panel of 1,906 stool samples, 23 reference RVA strains, and 14 nontarget enteric virus samples. The assay detected a diverse number of RVA genotypes and did not detect other enteric viruses, demonstrating analytical sensitivity and specificity for RVA in testing stool samples. A XenoRNA internal process control was introduced and detected in a multiplexed qRT-PCR format. Because it does not require an antecedent dsRNA denaturation step, this assay reduces the possibility of sample cross-contamination and requires less hands-on time than other published qRT-PCR protocols for RVA detection.

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