Individual identification of prey in carnivore scats
Data files
Jun 18, 2026 version files 29.52 KB
-
blood_tissue_genotypes.csv
4.55 KB
-
code.R
8.21 KB
-
elk_primers.csv
1.77 KB
-
genotypes_scats.csv
13.23 KB
-
plot_data.csv
709 B
-
README.md
1.04 KB
Abstract
Noninvasive genetic sampling is widely used in ecology and conservation to identify predators and their diets, however, recovering individual-level information from consumed prey remains largely unexplored. We evaluated whether individual prey can be reliably genotyped from carnivore scats, and assessed limitations associated with degraded and mixed DNA sources. We developed a 31-locus SNP panel optimized for genotyping degraded elk (Cervus canadensis) DNA using amplicon sequencing. We validated prey genotyping by matching elk genotypes recovered from carnivore scats (‘carcass scats’) collected at cougar (Puma concolor) kill sites to genotypes from corresponding elk carcasses. We also genotyped scats collected throughout the study area, identified as containing elk using DNA metabarcoding (‘survey scats’). To avoid misidentifying multiple individuals in a scat as a unique genotype, we evaluated artificial mixtures of prey DNA to assess the ability to detect and filter samples containing mixed DNA. Elk genotypes recovered from carcass scats matched associated carcass genotypes, confirming accurate recovery of individual prey DNA from carnivore scats. Genotyping success was 88% in fresh carcass scats and 74% in survey scats of unknown age. Heterozygosity excess filtering removed most mixed samples, although one of 24 mixtures with equal DNA contributions from two individuals produced a false unique genotype. Our results demonstrate that carnivore scats can serve as a reliable source of individual-level prey DNA under appropriate conditions. This method provides a new data stream on individual prey mortality, predation rates, and scavenging dynamics, processes that have previously been difficult to quantify without invasive capture and collaring techniques.
https://doi.org/10.5061/dryad.70rxwdccs
Data files and description
elk_primers.csv
Forward and reverse SNP primers used for elk genotyping.
blood_tissue_genotypes.csv
Consensus genotypes from elk blood and tissue samples. Each row is a sample and each column is a locus.
genotypes_scats.csv
Consensus genotypes for scat samples. Each row is a sample and each "CC" column is a locus.
-
'Carnivore' = Carnivore species identified from 12S metabarcoding. "NA" = no carnivore reads passed filtering so the carnivore species could not be identified.
-
'MD' = Number of missing loci
-
'Pass' = Whether the sampled passed or failed missingness filter.
-
'Type' = Type of scat sample ('survey' or 'carcass').
plot_data.csv
Sample information used in Figure 2.
-
'n_ind' = Number of contributing individuals in a mixed sample
-
'ng' = Amount of DNA added per individual in mixed samples.
code.R
Code used to analyze data and produce figures.
