Hindering the illegal trade in dog and cat furs through a DNA-based protocol for species identification

Forensic DNA phenotyping: Canis familiaris breed classification and skeletal phenotype prediction using functionally significant skeletal SNPs and indels

This review highlights a novel application of breed identification and prediction of skeletal traits in forensic investigations using canine DNA evidence. Currently, genotyping methods used for canine breed classification involve the application of highly polymorphic short tandem repeats in addition to larger commercially available SNP arrays. Both applications face technical challenges. An additional approach to breed identification could be through genotyping SNPs and indels that characterise the array of skeletal differences displayed across domestic dog populations. Research has shown that a small number of genetic variants of large effect drive differences in skeletal phenotypes among domestic dog breeds. This feature makes functionally significant canine skeletal variants a cost-effective target for forensic investigators to classify individuals according to their breed. Further analysis of these skeletal variants would enable the prediction of external appearance. To date, functionally significant genes with genetic variants associated with differences in size, bulk, skull shape, ear shape, limb length, digit type, and tail morphology have been uncovered. Recommendations of a cost-effective genotyping method that can be readily designed and applied by forensic investigators have been given. Further advances to improve the field of canine skeletal forensic DNA phenotyping include the refinement of phenotyping methods, further biological validation of the skeletal genetic variants and establishing a publicly available database for storage of allele frequencies of the skeletal genetic variants in the wider domestic dog population.

A combined morphological and molecular approach for hair identification to comply with the European ban on dog and cat fur trade

Animal furs are encountering more and more the detriment of public opinion, that is increasingly sensitive to animals, their welfare and protection. The feeling of outrage against animal suffering is particularly intense when cats and dogs are involved, since these are the most popular pets in Western countries. However, in some Asian countries breeding of dogs and cats for the fur industry is a common practice. These furs and their finished garments are often mislabelled in order to be imported and sold to unaware consumers in Western countries. The European Union has issued the Regulation 1523/2007, which bans the use and trade of dog and cat furs. The main purposes of the Regulation were to normalise the internal market and to address the concerns of European consumers about the risk of inadvertently buying products containing these species. The Regulation states that several analytical methods (microscopy, DNA testing and mass spectrometry) can be used to exclude dogs and cats as source species, but an official analytical protocol was not provided. In this paper, we report on the development of a reliable and affordable method for species identification in furs, based on a combined morphological and molecular approach. Our protocol provides an initial morphological analysis as a time and cost effective screening test. Only samples that are morphologically not excluded as canid/felid furs, based on few selected microscopic features, are then submitted to DNA testing. The application of this protocol on seized furs reached 92% identification of species. Our approach assists in identifying frauds and reinforcing the ban on dog and cat fur trade, allowing (1) rapid inexpensive recognition of fake furs, (2) exclusion of non-canid/non-felid furs through fast microscopic morphological screening, (3) overall cost reduction with lower number of samples to be submitted to DNA analysis, (4) analytical protocol to stand in court in case criminal sanctions are to be applied.