Forensic validation of a panel of 12 SNPs for identification of Mongolian wolf and dog

• Published in: Scientific Reports
• Main Authors: Jiang, Hong Hui, Li, Bo, Ma, Yue, Bai, Su Ying, Dahmer, Thomas D., Linacre, Adrian, Xu, Yan Chun
• Format: Text
• Language: English
• Published: Nature Publishing Group UK 2020
• Subjects: Article; Canis lupus
• Online Access: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7413520/; http://www.ncbi.nlm.nih.gov/pubmed/32764603; https://doi.org/10.1038/s41598-020-70225-5

Wolf (Canis lupus) is a species included in appendices of CITES and is often encountered in cases of alleged poaching and trafficking of their products. When such crimes are suspected, those involved may attempt to evade legal action by claiming that the animals involved are domestic dogs (C. l. familiaris). To respond effectively to such claims, law enforcement agencies require reliable and robust methods to distinguish wolves from dogs. Reported molecular genetic methods are either unreliable (mitogenome sequence based), or operationally cumbersome and require much DNA (un-multiplexed microsatellites), or financially expensive (genome wide SNP genotyping). We report on the validation of a panel of 12 ancestral informative single nucleotide polymorphism (SNP) markers for discriminating wolves from dogs. A SNaPshot multiplex genotyping system was developed for the panel, and 97 Mongolian wolves (C. l. chanco) and 108 domestic dogs were used for validation. Results showed this panel had high genotyping success (0.991), reproducibility (1.00) and origin assignment accuracy (0.97 ± 0.05 for dogs and 1.00 ± 0.03 for wolves). Species-specificity testing suggested strong tolerance to DNA contamination across species, except for Canidae. The minimum DNA required for reliable genotyping was 6.25 pg/μl. The method and established gene frequency database are available to support identification of wolves and dogs by law enforcement agencies.