NDLI: A SNP chip to detect introgression in wildcats allows accurate genotyping of single hairs

Content Provider	Springer Nature Link
Author	Nussberger, Beatrice Wandeler, Peter Camenisch, Glauco
Copyright Year	2014
Abstract	Genotyping non-invasively collected samples is challenging. Nevertheless, genetic monitoring of elusive species like the European wildcat (Felis silvestris silvestris) mainly relies on such samples. Wildcats are likely threatened through introgression with domestic cats (F. silvestris catus). To determine introgression based on single cat hairs, we developed a 96.96 Fluidigm single nucleotide polymorphism (SNP) genotyping array chip. To estimate the accuracy of this method, we compared genotypes of 17 cats called with both Sanger sequencing and Fluidigm. When Sanger sequencing genotypes were considered as a reference, the genotyping error rate with Fluidigm was 0.9 %. We subsequently compared 16 hair samples to tissue samples of the same individual. When the tissue samples were used as a reference, the genotyping error rate in hair samples was 1.6 %. This low error rate allowed reliable recognition of individuals and correct assessment of introgression levels. Thus, the genotyping method presented in this paper is suitable for non-invasively collected samples. It will help conservationists to monitor the introgression rate in wildcat populations based on non-invasive hair sampling and subsequently to conduct effective conservation measures.
Starting Page	405
Ending Page	410
Page Count	6
File Format	PDF
ISSN	16124642
Journal	European Journal of Wildlife Research
Volume Number	60
Issue Number	2
e-ISSN	14390574
Language	English
Publisher	Springer Berlin Heidelberg
Publisher Date	2014-03-04
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Hair Non-invasive DNA sampling SNP genotyping Conservation genetics Introgression Felis silvestris Zoology Animal Ecology
Content Type	Text
Resource Type	Article
Subject	Ecology, Evolution, Behavior and Systematics Management, Monitoring, Policy and Law Nature and Landscape Conservation

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