Environmental DNA robotic and manual sampling data, Yellowstone and Snake Rivers, 2017-2019
October 22, 2020
Environmental DNA detection results from samples collected using autonomous water sampling robots and manual approaches. Samples were collected in the Upper Yellowstone River (Montana) and Upper Snake River (Idaho/Wyoming) in 2018 and 2019. Samples were tested for the DNA of the following species: the waterborne protozoa Naegleria spp., the fish pathogen Tetracapsuloides bryosalmonae, Scomber japonicas (mackerel fish), kokanee salmon (Oncorhynchus nerka) and dreissenid mussel (Dreissena spp.).
Citation Information
Publication Year | 2020 |
---|---|
Title | Environmental DNA robotic and manual sampling data, Yellowstone and Snake Rivers, 2017-2019 |
DOI | 10.5066/P92BNVYI |
Authors | Adam J Sepulveda |
Product Type | Data Release |
Record Source | USGS Digital Object Identifier Catalog |
USGS Organization | Northern Rocky Mountain Science Center (NOROCK) Headquarters |
Related Content
Robotic environmental DNA bio-surveillance of freshwater health
Autonomous water sampling technologies may help to overcome the human resource challenges of monitoring biological threats to rivers over long time periods and large geographic areas. The Monterey Bay Aquarium Research Institute has pioneered a robotic Environmental Sample Processor (ESP) that overcomes some of the constraints associated with traditional sampling since it can automate water sample
Authors
Adam J. Sepulveda, Jim M. Birch, Elliott Barnhart, Christopher M. Merkes, Kevan Yamahara, Roman III Marin, Stacy Kinsey, Peter R. Wright, Christian Schmidt
Related Content
- Publications
Robotic environmental DNA bio-surveillance of freshwater health
Autonomous water sampling technologies may help to overcome the human resource challenges of monitoring biological threats to rivers over long time periods and large geographic areas. The Monterey Bay Aquarium Research Institute has pioneered a robotic Environmental Sample Processor (ESP) that overcomes some of the constraints associated with traditional sampling since it can automate water sampleAuthorsAdam J. Sepulveda, Jim M. Birch, Elliott Barnhart, Christopher M. Merkes, Kevan Yamahara, Roman III Marin, Stacy Kinsey, Peter R. Wright, Christian Schmidt - Connect