Rapid identification of the origin of the matrix protein gene in vaccine candidate reassortants using real-time PCR and fluorescence-based melting curve analysis

Naomi Komadina; Sumitha Vasudevan; David Johnstone; Ian Barr; Alan Hampson

doi:10.1016/j.ics.2004.02.155

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Rapid identification of the origin of the matrix protein gene in vaccine candidate reassortants using real-time PCR and fluorescence-based melting curve analysis

Journal article

Peer reviewed

Rapid identification of the origin of the matrix protein gene in vaccine candidate reassortants using real-time PCR and fluorescence-based melting curve analysis

Naomi Komadina, Sumitha Vasudevan, David Johnstone, Ian Barr and Alan Hampson

International Congress series, Vol.1263(C), pp.581-584

01/06/2004

DOI: https://doi.org/10.1016/j.ics.2004.02.155

Abstract

Influenza

Matrix gene

Melting temperature

Real-time PCR

Reassortants

Vaccine

A simple and rapid method using real-time PCR and melting temperature analysis is described for the detection of the origin of the matrix gene in reassortant influenza A viruses. This procedure relies on differences between the matrix gene PCR product melting temperature of recent human A(H1N1) and A(H3N2) strains and the laboratory donor strain PR-8 allowing the origin of the matrix gene to be identified. This novel method offers advantages over previous methods such as hybridisation and RFLP in facilitating rapid selection of candidate vaccine strains.

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Title: Rapid identification of the origin of the matrix protein gene in vaccine candidate reassortants using real-time PCR and fluorescence-based melting curve analysis
Creators - without role: Naomi Komadina - Victorian Infectious Diseases Reference Laboratory
Sumitha Vasudevan - Victorian Infectious Diseases Reference Laboratory
David Johnstone - CSL
Ian Barr - Victorian Infectious Diseases Reference Laboratory
Alan Hampson - Victorian Infectious Diseases Reference Laboratory
Publication Details: International Congress series, Vol.1263(C), pp.581-584
Publisher: Elsevier B.V
Identifiers: 9921324608331
Academic Unit: King Saud Bin Abdulaziz University for Health Sciences
Language: English
Resource Type: Journal article