Application of RT-Bst to enhance detection of pathogenic viruses of the respiratory tract

Kabir, M.S., Clements, M.O., Atkins, M. and Kimmitt, P.T. 2015. Application of RT-Bst to enhance detection of pathogenic viruses of the respiratory tract. British Journal of Biomedical Science. 72 (3), pp. 128-134.

TitleApplication of RT-Bst to enhance detection of pathogenic viruses of the respiratory tract
AuthorsKabir, M.S., Clements, M.O., Atkins, M. and Kimmitt, P.T.
Abstract

Inefficiency of RT-PCR can be associated with the
suboptimal process of reverse transcription as only 40-80% of RNA is converted to cDNA. We employed a novel
method, RT-Bst, to enrich the concentration of cDNA for
subsequent multiplex PCR detection of selected RNA
viruses. The RT-Bst method amplifies cDNA through
reverse transcription of viral RNA using reverse
transcriptase and amplification of cDNA using Bst DNA
polymerase. Viral RNA was extracted from 25
nasopharyngeal samples for detection of influenza A, B
and C; parainfluenza 1–4; human coronaviruses 229E and
OC43; respiratory syncytial virus (RSV) and rhinovirus.
Both multiplex one-step RT-PCR and RT-Bst PCR were
used to compare their performances for detection of virus sequences. These findings were compared with routine laboratory detection. When using RT-Bst PCR, 28% of samples yielded a viral pathogen compared to 20% with RT-PCR and 12% using routine diagnostic tests. RT-Bst PCR was shown to have particular utility in the detection of RSV RNA as this was present in 20% of the samples studied compared to 8% when using RT-PCR. For one patient, RT-Bst PCR was able to detect RSV five days earlier than conventional hospital diagnostic testing. RT-Bst and RT-Bst PCR can be used as alternative approaches to reverse transcription and one-step RT-PCR, respectively, for sequence-independent amplification of RNA virus sequences and a larger scale analysis of this new diagnostic approach is warranted.

KeywordsMultiplex polymerase chain reaction. Reverse transcription. RT-Bst amplification. Virus detection.
JournalBritish Journal of Biomedical Science
Journal citation72 (3), pp. 128-134
ISSN0967-4845
Year2015

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