University Library
  • Login
A gateway to Melbourne's research publications
Minerva Access is the University's Institutional Repository. It aims to collect, preserve, and showcase the intellectual output of staff and students of the University of Melbourne for a global audience.
View Item 
  • Minerva Access
  • Veterinary and Agricultural Sciences
  • Veterinary Science
  • Veterinary Science - Research Publications
  • View Item
  • Minerva Access
  • Veterinary and Agricultural Sciences
  • Veterinary Science
  • Veterinary Science - Research Publications
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

    Rapid detection and non-subjective characterisation of infectious bronchitis virus isolates using high-resolution melt curve analysis and a mathematical model

    Thumbnail
    Citations
    Scopus
    Web of Science
    Altmetric
    49
    44
    Author
    Hewson, K; Noormohammadi, AH; Devlin, JM; Mardani, K; Ignjatovic, J
    Date
    2009-04-01
    Source Title
    ARCHIVES OF VIROLOGY
    Publisher
    SPRINGER WIEN
    University of Melbourne Author/s
    HEWSON, KYLIE; Hadjinoormohammadi, Amir; Devlin, Joanne; Ignjatovic, Jagoda
    Affiliation
    Faculty of Veterinary Science, Veterinary Science
    Metadata
    Show full item record
    Document Type
    Journal Article
    Citations
    Hewson, K., Noormohammadi, A. H., Devlin, J. M., Mardani, K. & Ignjatovic, J. (2009). Rapid detection and non-subjective characterisation of infectious bronchitis virus isolates using high-resolution melt curve analysis and a mathematical model. ARCHIVES OF VIROLOGY, 154 (4), pp.649-660. https://doi.org/10.1007/s00705-009-0357-1.
    Access Status
    This item is currently not available from this repository
    URI
    http://hdl.handle.net/11343/27671
    DOI
    10.1007/s00705-009-0357-1
    Description

    © 2009 Springer Verlag. The publisher’s version is restricted access in accordance with the Springer Verlag policy. The original publication is available at http://www.springer.com/springerwiennewyork/medicine/journal/705

    Abstract
    Infectious bronchitis virus (IBV) is a coronavirus that causes upper respiratory, renal and/or reproductive diseases with high morbidity in poultry. Classification of IBV is important for implementation of vaccination strategies to control the disease in commercial poultry. Currently, the lengthy process of sequence analysis of the IBV S1 gene is considered the gold standard for IBV strain identification, with a high nucleotide identity (e.g. > or =95%) indicating related strains. However, this gene has a high propensity to mutate and/or undergo recombination, and alone it may not be reliable for strain identification. A real-time polymerase chain reaction (RT-PCR) combined with high-resolution melt (HRM) curve analysis was developed based on the 3'UTR of IBV for rapid detection and classification of IBV from commercial poultry. HRM curves generated from 230 to 435-bp PCR products of several IBV strains were subjected to further analysis using a mathematical model also developed during this study. It was shown that a combination of HRM curve analysis and the mathematical model could reliably group 189 out of 190 comparisons of pairs of IBV strains in accordance with their 3'UTR and S1 gene identities. The newly developed RT-PCR/HRM curve analysis model could detect and rapidly identify novel and vaccine-related IBV strains, as confirmed by S1 gene and 3'UTR nucleotide sequences. This model is a rapid, reliable, accurate and non-subjective system for detection of IBVs in poultry flocks.
    Keywords
    infectious bronchitis virus; IBV; poultry; vaccination strategies

    Export Reference in RIS Format     

    Endnote

    • Click on "Export Reference in RIS Format" and choose "open with... Endnote".

    Refworks

    • Click on "Export Reference in RIS Format". Login to Refworks, go to References => Import References


    Collections
    • Minerva Elements Records [45689]
    • Veterinary Science - Research Publications [176]
    Minerva AccessDepositing Your Work (for University of Melbourne Staff and Students)NewsFAQs

    BrowseCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects
    My AccountLoginRegister
    StatisticsMost Popular ItemsStatistics by CountryMost Popular Authors