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Published on: September 25, 2018
Highly efficient multiplex PCR of noninvasive DNA does not require pre-amplification.
Tomaž Skrbinšek1, Maja Jelenčič, Lisette Waits
1Department of Biology, Biotechnical Faculty, University of Ljubljana, Večna pot 111, 1000 Ljubljana, Slovenia Fish and Wildlife Resources, University of Idaho, Moscow, Idaho, ID 83844-1136, USA.
We developed a new, cost-effective multiplex PCR method for genotyping brown bears (Ursus arctos) from faecal samples. This molecular genetics tool significantly improves success rates in wildlife research and monitoring.
Area of Science:
- Wildlife genetics
- Molecular ecology
- Conservation biology
Background:
- Effective wildlife monitoring relies on informative genetic markers and efficient analysis methods.
- Commercial genotyping kits are common for humans and domestic animals but scarce for wildlife.
Purpose of the Study:
- To develop a highly optimized, cost-effective multiplex PCR protocol for genotyping brown bear (Ursus arctos) faecal samples.
- To improve the success rate of genetic analysis in wildlife research.
Main Methods:
- Developed a multiplex PCR assay for 12 microsatellite loci and a sex determination locus.
- Applied the protocol to 1053 brown bear faecal samples from the Dinaric population.
- Compared performance against a multiplex pre-amplification strategy on a subset of samples.
Main Results:
- Achieved an 88% genotyping success rate with the new multiplex PCR protocol, outperforming a previous 78.4% success rate.
- Direct comparison showed no advantage of multiplex pre-amplification for reasonably fresh non-invasive samples.
- The new protocol offers a high number of multiplexed loci, comparable to commercial kits.
Conclusions:
- The developed multiplex PCR is a reliable and cost-effective tool for brown bear genetic analysis from faecal samples.
- This method enhances the feasibility of molecular genetics in wildlife monitoring and research.
- Pre-amplification strategies are not justified for analyzing fresh non-invasive samples due to cost and workload.
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