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Related Experiment Videos

Classical swine fever virus diversity and evolution

P Lowings1, G Ibata, J Needham

  • 1Department of Virology, Central Veterinary Laboratory (Weybridge), Addlestone, Surrey, UK. plowings.cvl.wood@ginet.gov.uk

The Journal of General Virology
|June 1, 1996
PubMed
Summary
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Analyzing classical swine fever virus (CSFV) genetic data classified 115 isolates into groups and subgroups. This study provides a framework for CSFV molecular epidemiology and evolutionary analysis.

Area of Science:

  • Virology
  • Molecular Biology
  • Genetics

Background:

  • Classical swine fever virus (CSFV) is a significant pathogen affecting swine populations globally.
  • Accurate classification and evolutionary understanding of CSFV are crucial for disease control.

Purpose of the Study:

  • To classify 115 CSFV isolates using nucleotide sequence data from E2, NS5B genes, and 5'NCR.
  • To compare the resolution of sequencing-based methods with monoclonal antibody (MAb) typing and restriction enzyme (RE) mapping.
  • To estimate the evolutionary rate of CSFV and determine divergence dates for identified subgroups.

Main Methods:

  • Analysis of nucleotide sequences from E2 (gp55) and NS5B genes, plus 5'NCR data.
  • Comparison of sequencing data with MAb typing and RE mapping.

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  • Estimation of CSFV evolution rate using virus variation over a 6-year period in a specific geographical area.

    • Main Results:

    • 115 CSFV isolates were divided into two major groups, five subgroups, and two disparate isolates based on sequence data.
    • Sequence analysis of the E2 region allowed for further discrimination of isolates.
    • Sequencing-based methods provided superior resolution compared to MAb typing and RE mapping.
    • An approximate CSFV evolution rate was estimated, enabling calculation of approximate divergence dates for subgroups.

    Conclusions:

    • Nucleotide sequence analysis is a powerful tool for classifying CSFV isolates and understanding their genetic diversity.
    • The established classification framework and estimated evolutionary rate aid in CSFV molecular epidemiology.
    • This study provides insights into the evolutionary history and divergence patterns of CSFV, crucial for effective disease management strategies.