Poaching is a crime that occurs worldwide and can be extremely difficult to investigate and prosecute due to the nature of the evidence available. If a species is protected by international legislation such as the Convention on International Trade in Endangered Species of Wild Fauna and Flora then simply possessing any part of that species is illegal. Previous studies have focused on the identification of endangered species in cases of potential poaching. Difficulties arise if the poached animal is not endangered. Species such as deer have hunting seasons whereby they can legally be hunted however poaching is the illegal take of deer, irrespective of season. Therefore, identification of deer alone has little probative value as samples could have originated from legal hunting activities in season. After a deer is hunted it is usual to remove the innards, head and lower limbs. The limbs are removed through manual force and represent a potential source of human touch DNA. We investigate the potential to recover and profile human autosomal DNA from poached deer remains. Samples from the legs of ten culled deer were obtained (40 in total) using minitapes. DNA from samples was extracted, quantified and amplified to determine if it would be possible to recover human STR profiles. Low quantification data led to the use of an extended PCR cycling protocol of 34 cycles. Samples from seven deer amplified, however some samples were excluded from further analysis due to 'drop in' alleles or the low level of successfully amplified loci. Samples from five deer could be further analysed and gave match probabilities ranging from 6.37×10(-3) to 9.53×10(-11). This study demonstrates the potential of recovering human touch DNA from poached animal remains. There is the potential for this test to be used in relation to other species of poached remains or other types of wildlife crimes. This is the first time, to our knowledge, that human STR profiling has been successfully applied to touch DNA in regards to simulated wildlife crime.
This research output has an Altmetric Attention Score of 23. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 January 2018.
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#1,809,612
of 27,774,969 outputs
Outputs from Science & Justice
#44
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Outputs of similar age
#7,722
of 137,778 outputs
Outputs of similar age from Science & Justice
#2
of 4 outputs
Altmetric has tracked 27,774,969 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 869 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one has done particularly well, scoring higher than 94% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 137,778 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.
