An eDNA assay for river otter detection: a tool for surveying a semi-aquatic mammal
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Environmental DNA (eDNA) is an effective tool for the detection of elusive or low-density aquatic organisms. However, it has infrequently been applied to mammalian species. North American river otters (Lontra canadensis) are both broad ranging and semi-aquatic, making them an ideal candidate for examining the uses of eDNA for detection of mammals. We developed a species-specific assay for detection of North American river otters using eDNA. The assay was tested for specificity against closely-related mustelids native to western North America, and was validated through testing environmental samples.
KeywordsEnvironmental DNA River otters Semi-aquatic mammals Survey
We thank ZooMontana and Mackenzie Mentel for exhibit samples. We thank Justin Gude, Neil Anderson, Jeff Copeland, Wayne Melquist, Jody Tucker, Kristy Pilgrim, and Joel Sauder for reference samples. We also thank Rob Jensen and Advanced Problems in Science, Hellgate high school, Missoula, MT, USA, for their support. TMW is supported by a NSF Graduate Research Fellowship (Grant No. DGE-1313190).
- Carim KJ, Padgett-Stewart T, Wilcox TM, Young MK, McKelvey KS, Schwartz MK (2015) Protocol for collecting eDNA samples from streams. U.S.D.A. Forest Service, National Genomics Center for Wildlife and Fish Conservation. V2.3 (July 2015). http://www.fs.fed.us/research/genomics-center/docs/edna/edna-protocol.pdf
- Feldhamer GA, Thompson BC, Chapman JA (2003) Wild mammals of North America: biology, management, and conservation. JHU Press, Baltimore, pp 708–734Google Scholar
- Hall TA (1999) BioEdit: a user-friendly biological sequence alignment editor and analysis program for Windows 95/98/NT. Nucl Acids Symp Ser 41:95–98Google Scholar
- McKelvey KS, Young MK, Knotek L, Carim KJ, Wilcox TM, Padgett TM, Schwartz MK (In review) Sampling large geographic areas for rare species using environmental DNA (eDNA): a study of bull trout occupancy in western Montana. J Fish BiolGoogle Scholar