Application of a quantitative algorithm to restriction endonuclease analysis of Aujeszky's disease (pseudorabies) virus from a geographically localized outbreak.

TitleApplication of a quantitative algorithm to restriction endonuclease analysis of Aujeszky's disease (pseudorabies) virus from a geographically localized outbreak.
Publication TypeJournal Article
Year of Publication1999
AuthorsScherba G, Wiemers JF, Siegel AM, Jin L, Austin CC, Bowman L, Redeford B, Johnston NA, Weigel RM
JournalJournal of veterinary diagnostic investigation : official publication of the American Association of Veterinary Laboratory Diagnosticians, Inc
Volume11
Issue5
Pagination423-31
Date Published1999 Sep
ISSN1040-6387
KeywordsAlgorithms, Animals, Disease Outbreaks, DNA, Viral, Epidemiologic Studies, Genetic Variation, Geography, Herpesvirus 1, Suid, Pseudorabies, Restriction Mapping, Retrospective Studies, Swine, Swine Diseases
Abstract

A retrospective epidemiologic study was conducted to evaluate the application of an objective quantitative algorithm for estimating genetic similarity from restriction endonuclease analysis data. The analysis was performed to assist the determination of chronologic trends in an Aujeszky's disease viral epidemic in a geographic region. DNA from each viral isolate obtained during the epidemic was digested with 4 restriction endonucleases and molar ratio labeled to generate separate fragment patterns that were simultaneously compared using the algorithm. The resultant estimates of genetic similarity were then used in conjunction with time of virus isolation and specific geographic location of the outbreaks to identify the probable sources of infection and the patterns of spread among swine herds. This type of quantitative analysis enabled a more precise and objective approach than previously has been applied to the interpretation of restriction endonuclease data, thereby demonstrating the benefit of this methodology for the investigation of infectious disease outbreaks.

Alternate JournalJ. Vet. Diagn. Invest.