Hostname: page-component-848d4c4894-2xdlg Total loading time: 0 Render date: 2024-06-20T09:21:00.477Z Has data issue: false hasContentIssue false

Comparative utility of restriction fragment length polymorphism analysis and gene sequencing to the molecular epidemiological investigation of a viral outbreak

Published online by Cambridge University Press:  16 July 2001

T. L. GOLDBERG
Affiliation:
University of Illinois, Department of Veterinary Pathobiology, 2001 South Lincoln Avenue, Urbana IL 61820, USA
R. M. WEIGEL
Affiliation:
University of Illinois, Department of Veterinary Pathobiology, 2001 South Lincoln Avenue, Urbana IL 61820, USA
E. C. HAHN
Affiliation:
University of Illinois, Department of Veterinary Pathobiology, 2001 South Lincoln Avenue, Urbana IL 61820, USA
G. SCHERBA
Affiliation:
University of Illinois, Department of Veterinary Pathobiology, 2001 South Lincoln Avenue, Urbana IL 61820, USA
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

Restriction fragment length polymorphism (RFLP) analysis and partial-genome DNA sequencing are commonly used to infer genetic relationships among pathogens. This study compares the application of both techniques to the analysis of 16 pseudorabies virus isolates collected during a 1989 outbreak. Genetic distances derived from RFLP and DNA sequence data were not significantly correlated with geographic distances between farms from which isolates were collected. RFLP-based genetic distance was, however, strongly correlated with temporal distance between isolates (days separating time of isolation). Sequence-based genetic distance was significantly correlated with temporal distance only when synonymous changes (nucleotide changes not leading to amino acid changes) were considered separately. Conversely, non-synonymous changes were correlated with the host species of origin of the viral isolate. These results indicate that selectively-neutral genetic changes most accurately reflect historical relationships, but that non-neutral changes most accurately reflect the biological environment of the viral isolate (e.g. host immune system).

Type
Research Article
Copyright
© 2001 Cambridge University Press