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A new multiplex qPCR assay to detect and differentiate big cat species in the illegal wildlife trade.

Authors :
Henger CS
Straughan DJ
Xu CCY
Nightingale BR
Kretser HE
Burnham-Curtis MK
McAloose D
Seimon TA
Source :
Scientific reports [Sci Rep] 2023 Jun 16; Vol. 13 (1), pp. 9796. Date of Electronic Publication: 2023 Jun 16.
Publication Year :
2023

Abstract

All species of big cats, including tigers, cheetahs, leopards, lions, snow leopards, and jaguars, are protected under the Convention on the International Trade in Endangered Species (CITES). This is due in large part to population declines resulting from anthropogenic factors, especially poaching and the unregulated and illegal trade in pelts, bones, teeth and other products that are derived from these iconic species. To enhance and scale up monitoring for big cat products in this trade, we created a rapid multiplex qPCR test that can identify and differentiate DNA from tiger (Panthera tigris), cheetah (Acinonyx jubatus), leopard (Panthera pardus), lion (Panthera leo), snow leopard (Panthera uncia), and jaguar (Panthera onca) in wildlife products using melt curve analysis to identify each species by its unique melt peak temperature. Our results showed high PCR efficiency (> 90%), sensitivity (detection limit of 5 copies of DNA per PCR reaction) and specificity (no cross amplification between each of the 6 big cat species). When paired with a rapid (< 1 h) DNA extraction protocol that amplifies DNA from bone, teeth, and preserved skin, total test time is less than three hours. This test can be used as a screening method to improve our understanding of the scale and scope of the illegal trade in big cats and aid in the enforcement of international regulations that govern the trade in wildlife and wildlife products, both ultimately benefiting the conservation of these species worldwide.<br /> (© 2023. The Author(s).)

Details

Language :
English
ISSN :
2045-2322
Volume :
13
Issue :
1
Database :
MEDLINE
Journal :
Scientific reports
Publication Type :
Academic Journal
Accession number :
37328525
Full Text :
https://doi.org/10.1038/s41598-023-36776-z