A forensic STR profiling system for the Eurasian badger: a framework for developing profiling systems for wildlife species

Dawnay, Nick, Ogden, Rob, Thorpe, Roger S., Pope, Lisa C., Dawson, Deborah A. and McEwing, Ross (2008) A forensic STR profiling system for the Eurasian badger: a framework for developing profiling systems for wildlife species. Forensic Science International: Genetics, 2 1: 47-53. doi:10.1016/j.fsigen.2007.08.006


Author Dawnay, Nick
Ogden, Rob
Thorpe, Roger S.
Pope, Lisa C.
Dawson, Deborah A.
McEwing, Ross
Title A forensic STR profiling system for the Eurasian badger: a framework for developing profiling systems for wildlife species
Journal name Forensic Science International: Genetics   Check publisher's open access policy
ISSN 1872-4973
1878-0326
Publication date 2008-01-01
Sub-type Article (original research)
DOI 10.1016/j.fsigen.2007.08.006
Volume 2
Issue 1
Start page 47
End page 53
Total pages 7
Place of publication Amsterdam, Netherlands
Publisher Elsevier
Language eng
Formatted abstract
Developing short tandem repeat (STR) profiling systems for forensic identification is complicated in animal species. Obtaining a representative number of individuals from populations, limited access to family groups and a lack of developed STR markers can make adhering to human forensic guidelines difficult. Furthermore, a lack of animal specific guidelines may explain why many wildlife forensic STR profiling systems developed to date have not appropriately addressed areas such as marker validation or the publication and analysis of population data necessary for the application of these tools to forensic science. Here we present a methodology used to develop an STR profiling system for a legally protected wildlife species, the Eurasian badger Meles meles. Ten previously isolated STR loci were selected based on their level of polymorphism, adherence to Hardy–Weinberg expectations and their fragment size. Each locus was individually validated with respect to its reproducibility, inheritance, species specificity, DNA template concentration and thermocycling parameters. The effects of chemical, substrate and environmental exposure were also investigated. All ten STR loci provided reliable and reproducible results, and optimal amplification conditions were defined. Allele frequencies from 20 representative populations in England and Wales are presented and used to calculate the level of population substructure (θ) and inbreeding (f). Accounting for these estimates, the average probability of identity (PIave) was 2.18 × 10−7. This case study can act as a framework for others attempting to develop wildlife forensic profiling systems.
Keyword Wildlife forensics
Individual identification
Badger
Validation
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Article (original research)
Collection: School of Biological Sciences Publications
 
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