10.5061/DRYAD.2VQ52
Kraus, Robert H. S.
Senckenberg Museum
vonHoldt, Bridgett
Princeton University
Cocchiararo, Berardino
Senckenberg Museum
Harms, Verena
Senckenberg Museum
Bayerl, Helmut
Technical University Munich
Kühn, Ralph
Technical University Munich
New Mexico State University
Förster, Daniel W.
Leibniz Institute for Zoo and Wildlife Research
Fickel, Jörns
Leibniz Institute for Zoo and Wildlife Research
Roos, Christian
Senckenberg Museum
Nowak, Carsten
Senckenberg Museum
Data from: A single-nucleotide polymorphism-based approach for rapid and
cost-effective genetic wolf monitoring in Europe based on noninvasively
collected samples
Dryad
dataset
2014
Holocene
Canis lupus
Wildlife Management
2014-07-18T14:59:28Z
2014-07-18T14:59:28Z
en
https://doi.org/10.1111/1755-0998.12307
1425522 bytes
1
CC0 1.0 Universal (CC0 1.0) Public Domain Dedication
Noninvasive genetics based on microsatellite markers has become an
indispensable tool for wildlife monitoring and conservation research over
the past decades. However, microsatellites have several drawbacks, such as
the lack of standardisation between laboratories and high error rates.
Here, we propose an alternative single-nucleotide polymorphism (SNP)-based
marker system for noninvasively collected samples, which promises to solve
these problems. Using nanofluidic SNP genotyping technology (Fluidigm), we
genotyped 158 wolf samples (tissue, scats, hairs, urine) for 192 SNP loci
selected from the Affymetrix v2 Canine SNP Array. We carefully selected an
optimised final set of 96 SNPs (and discarded the worse half), based on
assay performance and reliability. We found rates of missing data in this
SNP set of <10% and genotyping error of ~1%, which improves
genotyping accuracy by nearly an order of magnitude when compared to
published data for other marker types. Our approach provides a tool for
rapid and cost-effective genotyping of noninvasively collected wildlife
samples. The ability to standardise genotype scoring combined with low
error rates promises to constitute a major technological advancement and
could establish SNPs as a standard marker for future wildlife monitoring.
Archive of sample and SNP lists and genotype filesThe archive contains all
raw genotype files, a file with SNP IDs and their layout on a 96-well
plate, as well a list of all samples used in the paper.suppl.zip
Europe
Italy
Germany