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Published on: July 15, 2011
Using amplified fragment length polymorphism analysis to differentiate isolates of Pasteurella multocida serotype 1
David S Blehert1, Keynttisha L Jefferson, Dennis M Heisey
1US Geological Survey, National Wildlife Health Center, 6006 Schroeder Road, Madison, Wisconsin 53711, USA. dblehert@usgs.gov
Journal of Wildlife Diseases
|April 26, 2008
Summary
Avian cholera, caused by Pasteurella multocida, impacts wild waterfowl. Amplified fragment length polymorphism (AFLP) analysis revealed genetic changes in the bacteria over time and space, aiding disease study.
Area of Science:
- Veterinary Microbiology
- Wildlife Disease Ecology
- Bacterial Genomics
Background:
- Avian cholera, caused by Pasteurella multocida, results in significant mortality in North American wild waterfowl.
- Understanding the genetic diversity and evolution of P. multocida is crucial for managing disease outbreaks.
Purpose of the Study:
- To characterize Pasteurella multocida serotype 1 isolates from laboratory and field settings using Amplified Fragment Length Polymorphism (AFLP) analysis.
- To assess the utility of AFLP in detecting genetic changes and variations in P. multocida.
Main Methods:
- Amplified Fragment Length Polymorphism (AFLP) analysis was employed for whole-genome DNA fingerprinting.
- AFLP profiles of 53 isolates from a laboratory challenge study and 120 isolates from wild birds and environmental samples were analyzed.
Main Results:
- P. multocida isolates from a 3-month laboratory study exhibited genetic changes.
- Isolates collected from wild birds and environmental samples displayed distinct regional and temporal genetic characteristics.
- AFLP successfully differentiated P. multocida serotype 1 isolates based on spatiotemporal genetic variations.
Conclusions:
- AFLP analysis is a valuable tool for distinguishing P. multocida isolates of the same serotype.
- This technique can advance the study of avian cholera epidemiology by detecting genetic changes.
- Future applications may link bacterial genotypes to virulence, host species, and transmission dynamics for improved disease management.
