@article{Kraus2015-03singl-33110,
  year={2015},
  doi={10.1111/1755-0998.12307},
  title={A single-nucleotide polymorphism-based approach for rapid and cost-effective genetic wolf monitoring in Europe based on noninvasively collected samples},
  number={2},
  volume={15},
  issn={1755-098X},
  journal={Molecular Ecology Resources},
  pages={295--305},
  author={Kraus, Robert and vonHoldt, Bridgett and Cocchiararo, Berardino and Harms, Verena and Bayerl, Helmut and Kühn, Ralph and Förster, Daniel W. and Fickel, Jörns and Roos, Christian and Nowak, Carsten}
}

<rdf:RDF
    xmlns:dcterms="http://purl.org/dc/terms/"
    xmlns:dc="http://purl.org/dc/elements/1.1/"
    xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
    xmlns:bibo="http://purl.org/ontology/bibo/"
    xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#"
    xmlns:foaf="http://xmlns.com/foaf/0.1/"
    xmlns:void="http://rdfs.org/ns/void#"
    xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > 
  <rdf:Description rdf:about="https://kops.uni-konstanz.de/server/rdf/resource/123456789/33110">
    <dc:contributor>Fickel, Jörns</dc:contributor>
    <dc:creator>Kühn, Ralph</dc:creator>
    <dc:creator>Bayerl, Helmut</dc:creator>
    <dc:creator>Nowak, Carsten</dc:creator>
    <dc:contributor>Kraus, Robert</dc:contributor>
    <dc:contributor>Roos, Christian</dc:contributor>
    <dc:contributor>Harms, Verena</dc:contributor>
    <dc:contributor>Cocchiararo, Berardino</dc:contributor>
    <dc:contributor>Förster, Daniel W.</dc:contributor>
    <dc:contributor>vonHoldt, Bridgett</dc:contributor>
    <dc:language>eng</dc:language>
    <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2016-02-24T14:31:45Z</dcterms:available>
    <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/33110/3/Kraus_0-317440.pdf"/>
    <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/52"/>
    <dc:creator>Harms, Verena</dc:creator>
    <dc:creator>vonHoldt, Bridgett</dc:creator>
    <foaf:homepage rdf:resource="http://localhost:8080/"/>
    <dc:creator>Cocchiararo, Berardino</dc:creator>
    <dcterms:rights rdf:resource="https://rightsstatements.org/page/InC/1.0/"/>
    <dc:rights>terms-of-use</dc:rights>
    <dc:creator>Fickel, Jörns</dc:creator>
    <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2016-02-24T14:31:45Z</dc:date>
    <dc:contributor>Kühn, Ralph</dc:contributor>
    <dcterms:issued>2015-03</dcterms:issued>
    <dc:contributor>Nowak, Carsten</dc:contributor>
    <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/33110"/>
    <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
    <dc:contributor>Bayerl, Helmut</dc:contributor>
    <dc:creator>Roos, Christian</dc:creator>
    <dcterms:title>A single-nucleotide polymorphism-based approach for rapid and cost-effective genetic wolf monitoring in Europe based on noninvasively collected samples</dcterms:title>
    <dc:creator>Kraus, Robert</dc:creator>
    <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/28"/>
    <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/52"/>
    <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/33110/3/Kraus_0-317440.pdf"/>
    <dcterms:abstract xml:lang="eng">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 &lt;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.</dcterms:abstract>
    <dc:creator>Förster, Daniel W.</dc:creator>
    <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/28"/>
  </rdf:Description>
</rdf:RDF>