Anderberg MR

Bitsch V

Brown JH

Bush JA

Cassells RW

Christensen LS

Clark LK

Crandell RA

Dow C

Eidson ME

Everitt B

Gustafson DP

Horvath T

Kojnok J

Lawrence WC

Lynch M

Maes RK

McFarland MD

Murdoch RS

Pirtle EC

Scheidt AB

Sellers AF

Tabor S

Van Alstine WG

 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. </jats:p

Gail Scherba

John F. Wiemers

Arthur M. Siegel

Ling Jin

Connie C. Austin

Laurel Bowman

Bonnie Redeford

Nancy A. Johnston

Ronald M. Weigel

Crossref

Journal of Veterinary Diagnostic Investigation

Application of a Quantitative Algorithm to Restriction Endonuclease Analysis of Aujeszky's Disease (Pseudorabies) Virus from a Geographically Localized Outbreak

Application of a Quantitative Algorithm to Restriction Endonuclease Analysis of Aujeszky's Disease (Pseudorabies) Virus from a Geographically Localized Outbreak

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