2017
DOI: 10.1038/s41598-017-10647-w
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Assessing SNP genotyping of noninvasively collected wildlife samples using microfluidic arrays

Abstract: Noninvasively collected samples are a common source of DNA in wildlife genetic studies. Currently, single nucleotide polymorphism (SNP) genotyping using microfluidic arrays is emerging as an easy-to-use and cost-effective methodology. Here we assessed the performance of microfluidic SNP arrays in genotyping noninvasive samples from grey wolves, European wildcats and brown bears, and we compared results with traditional microsatellite genotyping. We successfully SNP-genotyped 87%, 80% and 97% of the wolf, cat a… Show more

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Cited by 67 publications
(79 citation statements)
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References 83 publications
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“…Using a more economical extraction kit could reduce the per-sample cost further. Because we observed no disagreement among replicates for samples with 100% call rates, costs could be reduced further by reducing the number of replicate PCRs as recommended by Von Thaden et al (2017). We did not include labor cost as these vary across institutions or primer development costs as these depend on the genomic information available for the focal species and are not a recurring cost.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Using a more economical extraction kit could reduce the per-sample cost further. Because we observed no disagreement among replicates for samples with 100% call rates, costs could be reduced further by reducing the number of replicate PCRs as recommended by Von Thaden et al (2017). We did not include labor cost as these vary across institutions or primer development costs as these depend on the genomic information available for the focal species and are not a recurring cost.…”
Section: Discussionmentioning
confidence: 99%
“…Recent SNP genotyping approaches for noninvasive samples include the Fluidigm Dynamic Array platform (Fluidigm Corp) and the MassARRAY platform from Sequenom. The Fluidigm platform in particular has produced high genotyping success and low error rates for both fecal and hair samples (Kraus et al, 2015; Von Thaden et al, 2017). However, these techniques require specialized equipment often rendering them prohibitively expensive for wildlife research (Andrews, De Barba, Russello, & Waits, 2018; Carroll et al, 2018).…”
Section: Introductionmentioning
confidence: 99%
“…The low error rate is important for all aspects of molecular ecology, but particularly for inferences of individual identification, parentage and relatedness. In addition, the Fluidigm platform had a higher genotyping success rate than microsatellite genotyping in hair samples from wolf faeces (87% and 70%, respectively) and wild cat hair (80% vs. 54%) but similar success rates in brown bear hair samples (97% and 99%, respectively; after quality control; von Thaden et al., ).…”
Section: Sampling and Methodological Considerationsmentioning
confidence: 96%
“…We aimed to generate a lynx SNP-panel with 96 SNPs for highthroughput genotyping using Fluidigm's SNPtype ™ assays (Fluidigm Corp., San Francisco, CA, USA), which has proven effective for SNP genotyping when using DNA extracted from noninvasively collected samples (see Von Thaden et al, 2017). Alternative high-throughput…”
Section: Snp-panel Developmentmentioning
confidence: 99%
“…The development of SNP-panels for wildlife species without available genomic resources relies on a preceding phase of SNP discovery. As SNP-panels utilized in genetic monitoring of wildlife species require only a limited number of markers-usually in the order of 24-384 SNPs (e.g., Bayerl et al, 2018;Fitak, Naidu, Thompson, & Culver, 2016;Kleinman-Ruiz et al, 2017;Kraus et al, 2015;Norman, Street, & Spong, 2013;Nussberger, Wandeler, & Camenisch, 2014; von Thaden et al, 2017)-high-throughput sequencing approaches that retrieve data for only a subset of the genome can be used because they yield sufficient genome-wide sequence variants. The most popular and widespread techniques used in population genetics and evolutionary biology are restriction site-associated DNA sequencing (RAD-seq; Miller, Dunham, Amores, Cresko, & Johnson, 2007) and variants thereof (e.g., Elshire et al, 2011;Kraus et al, 2011), whole-transcriptome shotgun sequencing (RNA-seq; Wang, Gerstein, & Snyder, 2009) and targeted capture (Gnirke et al, 2009;Olson, 2007).…”
Section: Introductionmentioning
confidence: 99%