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Wildlife forensics: "supervised" assignment testing can complicate the association of suspect cases to source
M C Ball1, L A Finnegan, T Nette
1Wildlife Disease Unit, Fisheries and Wildlife Management Division, Government of Alberta, Edmonton, Alberta, Canada. Mark.Ball@gov.ab.ca
Forensic Science International. Genetics
|May 12, 2010
Summary
DNA forensic analysis helps identify the origin of illegally harvested moose. Unsupervised modeling is recommended for accurate wildlife crime investigations, as political boundaries do not reflect true population genetics.
Area of Science:
- Wildlife Forensics
- Population Genetics
- Conservation Biology
Background:
- DNA analysis is crucial for wildlife crime investigations, aiding in species and individual identification.
- Genetic assignment testing can pinpoint the origin of harvested animals, vital for enforcing hunting regulations.
- Distinguishing between moose subspecies in Nova Scotia presents unique challenges and opportunities for forensic applications.
Purpose of the Study:
- To assess the effectiveness of individual-based clustering (IBC) in determining the origin of illegally harvested moose.
- To compare supervised and unsupervised IBC modeling approaches for genetic assignment accuracy.
- To evaluate the reliability of genetic data in wildlife forensic cases involving protected populations.
Main Methods:
- Utilized individual-based clustering (IBC) via Structure 2.2 software.
- Employed both "supervised" and "unsupervised" analytical approaches.
- Analyzed genetic data from suspected illegally harvested moose against known populations.
Main Results:
- Significant differences were observed between supervised and unsupervised modeling in defining genetic structure.
- IBC assignment testing successfully determined the source population for the suspected moose samples.
- The study highlighted that political jurisdictions do not always align with distinct biological populations.
Conclusions:
- Individual clustering assignment tests are valuable tools for wildlife forensics, aiding in the identification of illegally harvested animals' origins.
- The accuracy of genetic assignment is highly dependent on the chosen modeling approach and the comprehensiveness of the reference database.
- Unsupervised IBC modeling is recommended for greater biological accuracy in wildlife forensic investigations.
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