bioRxivGeneticsPreprint
SNP panel for non-invasive genotyping of leopard (Panthera pardus)
Faruk Pires Semedo MamugyiD, Laura D. BertolaiD, Amber Mertens De Vry, Nicolás DussexiD, Bastian SchiffthaleriD, Johanna L. A. PaijmansiD, Michael HofreiteriD, Ryan E. ForbesiD, Graham I. H. KerleyiD, Kristoffer T. EverattiD, Matthew S. BeckeriD, Scott CreeliD, Stéphanie BourgeoisiD, Clive Chifunte, Marine DrouillyiD, Göran SpongiD
Abstract
Genetic resources for species monitoring should ideally be relevant for the species full distribution range, feasible economically and logistically, and validated for the range of sample types collected from the field. This is particularly important for large carnivores that are elusive and wide-ranging, where individual and population processes often traverse administrative borders, and where obtaining high-quality samples can be challenging. Here we present a small species-specific SNP panel for leopards. We used whole genome data from across the global range and RAD sequence data from Zambian leopards to select markers for assay development. These were ascertained for 590 individual leopards from eight African countries and final selection was based on marker variation and performance on non-invasive samples. The final 96 marker panel holds 5 mitochondrial markers for species recognition, 3 Y-markers for determination of individual sex, 3 X-markers and 85 somatic markers, with an associated genetic baseline holding nearly 900 individuals. The selected autosomal markers hold variation across the global range with high power to identify individuals (PID=2,45x10-35) and in most cases their provenance with high assignment probability (>95%). Markers were also selected based on their performance on samples with low target DNA content, with distinct genotype separation in the output marker plots. The genotypes from this panel are thus straightforward to analyze and do not require computationally challenging bioinformatic resources, making this a low cost and accessible resource for leopard monitoring and research.
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