**ABSTRACT NOT FOR CITATION WITHOUT AUTHOR PERMISSION. The title, authors, and abstract for this completion report are provided below. For a copy of the full completion report, please contact the author via e-mail at nschloesser@usgs.gov. Questions? Contact the GLFC via email at frp@glfc.org or via telephone at 734-662-3209.**
Sea lamprey quantitative
environmental DNA surveillance
1Nicholas
Schloesser, 1Chris Merkes, 2Chris Rees, 1Jon
Amberg, 3Mike Steeves, 4Margaret
Docker, and 5Weiming Li
1U.S.
Geological Survey, Upper Midwest Environmental Sciences Center 2630 Fanta Reed Road, La Crosse, WI 54603,
USA
2U.S.
Fish and Wildlife Service Northeast Fishery Center P.O. Box 75, 227 Washington
Ave. Lamar, PA 16848, USA
3DFO
Canada Sea Lamprey Control Center, Sault Ste. Mari, ON, Canada
4University
of Manitoba, Department of Biological Sciences, 50 Sifton
Road, Winnipeg, MB, R3T 2N2, Canada
5Department
of Fisheries and Wildlife, Michigan State University, East Lansing, MI, USA
September 2017
ABSTRACT:
Invasive Sea
Lamprey (Petromyzon marinus) are currently managed by
the Great Lakes Fishery Commission to reduce pest populations below levels that
cause ecological and economic damage. One technique to improve stream
population assessments could be molecular surveillance in the form of
environmental DNA (eDNA)
monitoring. We used quantitative polymerase chain reaction (qPCR) to correlate eDNA concentration with Sea
Lamprey densities initially in laboratory tanks and then in streams. We found a
positive correlation between adult Sea Lamprey densities and eDNA concentrations in tanks.
However there was not a correlation between spring eDNA concentrations and adult Sea Lamprey trap catch
numbers. For larval laboratory tank density trials and fall field samples, eDNA concentrations were
consistently below our limit of quantification. Therefore, we examined
detection probability rather than concentration with laboratory tank densities
and estimated larval densities in the field. We found higher detection
probabilities with greater larval lamprey tank densities, but we had
insufficient statistical power to observe significance. We observed similar
results for the fall field samples, although they may have been confounded by
errors with the electroshocking assessments. The ability to assess Sea Lamprey
densities from a water sample could be a powerful tool to improve traditional
assessment and stream ranking techniques. Further research related to Sea
Lamprey eDNA might lead to a
better understanding of sampling strategies and could help eDNA
surveillance of Sea Lamprey become a more reliable technique to use going
forward. Our results support the continued use of detection probabilities
rather than copy numbers for low eDNA
concentrations and that even at low concentrations, eDNA
analysis can detect the presence of animals that traditional assessment methods
might miss. Additionally, the rapid sample collection and analysis of water
samples from many streams might help focus traditional assessment efforts,
thereby improving the efficiency of the Sea Lamprey control program.