Filters: Tags: environmental DNA (X)64 results (99ms)
Data from metabarcoding assays to detect a suite of mussel species using mitochondrial DNA regions of the cytochrome c oxidase subunit I (COI) and NADH dehydrogenase subunit (ND1) genes sequences.
This dataset includes quantifications of bigheaded carp DNA found in water samples collected from the Wabash River along transects at 3 sites over time. The samples were collected at 18 equidistant points in a transect across the river at each site. Samples were collected in 2013 on May 29, 30, 31, June 5, 6, 7, 8, 9, 10, 11, 16, 17, 19, 20, 21, and 22. Quantitative polymerase chain reaction (qPCR) was performed to determine the DNA concentrations in two replicates using the bigheaded carp assay defined in Merkes and others 2014.
We designed two new samplers for monitoring airborne particulates, including fungal and fern spores and plant pollen, that rely on natural wind currents (Passive Environmental Sampler) or a battery operated fan (Active Environmental Sampler). Both samplers are modeled after commercial devices such as the Rotorod® and the Burkard samplers, but are more economical and require less maintenance than commercial devices. We conducted wind tunnel comparisons of our two new samplers to Rotorod® samplers using synthetic polyethylene spheres (12 - 160 µm in diameter) to compare numbers and size range of particulates that are captured by the samplers. This dataset contains raw numbers of polyethylene spheres that were captured...
Bullseye snakehead environmental DNA data, and associated attributes, collected from southeast Florida, from 2015-2018
Bullseye snakehead, Channa marulius, was first detected in 2000 in the southern Florida town of Tamarac and has been expanding its geographic range. Environmental DNA (eDNA) analysis is a newly-developed technique used to non-invasively detect cryptic or low-density species, or those that are logistically difficult to study. Genetic material shed into the environment through tissue and body fluids is concentrated from water samples and analyzed for the presence of target species eDNA. To help delineate bullseye snakehead’s geographic range, we developed and validated a species-specific eDNA assay for both quantitative and droplet digital PCR (ddPCR). We then used ddPCR to assess 16 locations in southeast Florida...
Environmental DNA results from dreissenid mussel early detection surveys in Montana, Minnesota, and Wisconsin 2017-2018
Positive and negative dreissenid mussel DNA quantitiative PCR results from environmental DNA water samples collected in Montana, Wisconsin and Minnesota to assess if environmental DNA can extend the seasonal window for dreissenid mussel early detection.
Conventional and quantitative PCR assays for detecting Tetracapsuloides bryosalmonae in fish tissue and environmental DNA water samples
We developed and validated conventional and quantitative real-time PCR assays for the detection of DNA from the myxozoan parasite Tetracapsuloides bryosalmonae, the causative agent of proliferative kidney disease in fish. Assays were tested on fish tissue and on field-collected water samples to assess diagnostic and environmental DNA capabilities. The specificity, sensitivity, and broad applicability of the present assays surpass previous methods for detecting T. bryosalmonae DNA from fish tissue and water samples.
Rapid ʽŌhiʽa Death (ROD) currently threatens ōhiʽa lehua (Metrosideros polymorpha) on Hawaiʽi Island. First identified in Puna in 2014, the disease has now spread island wide. Besides direct sampling of trees, environmental sampling could serve as an easier and broader strategy to detect Ceratocystis spp., the fungi causing ROD. Environmental sampling could also help monitor the effect of felling ROD infected trees. We developed Passive and Active Environmental Samplers and deployed them at a property in Puna, where both C. lukuohia, and C. huliohia had been detected, and where the land owner practiced the management method of felling infected trees. We set up 2 Active Environmental Samplers (modified mosquito traps...
Environmental DNA metabarcoding as a tool for biodiversity assessment and monitoring: Reconstructing established fish communities of north-temperate lakes and rivers
To evaluate the ability of precipitation-based environmental DNA (eDNA) sample collection and mitochondrial 12S metabarcoding sequencing to reconstruct well-studied fish communities in lakes and rivers. Specific objectives were to 1) determine correlations between eDNA species detections and known community composition based on traditional field sampling, 2) compare efficiency of eDNA to detect fish biodiversity among systems with variable morphologies and trophic states, and 3) determine if species habitat preferences predicts eDNA detection. Fish community composition was estimated for seven lakes and two MIssissippi River navigation pools using sequence data from the mitochonrial 12S gene amplified from 10 to...
Fish abundance, environmental DNA, and stream habitat data from Washington, and southern British Columbia, Canada
Field estimates of the abundance of rainbow trout in Washington and British Columbia were collected in concert with environmental DNA samples (eDNA) to evaluate if eDNA copy numbers correlated with abundance of trout. In addition, stream habitat data including channel units (pools, riffles), substrate, large woody debris, among others, were collected at sites.
Environmental DNA (eDNA) is an Effective Tool to Track Recolonizing Migratory Fish Following Large-Scale Dam Removal, field data
We collected environmental DNA (eDNA) data from the Elwha River, home to the world’s largest dam removal project, to track the spatial and temporal patterns of species responses following dam removal. In total, we collected data for 11 different fish taxa, sampled at 25 sites ranging across 56 river kilometers in a wilderness river for 4 years following dam removal. We show that eDNA can effectively be used to determine whether fish have recolonized past former dams, and in some cases determine the spatial extent of that recolonization.
Environmental DNA (eDNA) detection tools are becoming increasingly popular for documenting occurrence and distribution of native and invasive species. These tools can allow early detection of new diseases and invasive species and provide critical information for land management. We designed two new samplers for monitoring airborne particulates, including fungal and fern spores and plant pollen, that rely on natural wind currents (Passive Environmental Sampler) or a battery operated fan (Active Environmental Sampler). This dataset contains results of an experiment that was designed to determine probability of detecting known numbers of Ceratocystis lukuohia spores on individual slides in these samplers.
Real-time PCR results of a round robin evaluation of 5 assays that target dreissenid mussel DNA. Water samples collected from waters with and without dreissenid mussels were analyzed using these five assays in four USGS laboratories. Samples from waters without dreissenid mussels were spiked with known amounts of dreissend DNA.
Data included are from a series of field sample collections from Lakes Michigan and Huron, and laboratory mesocosms targeting the round goby fish (Neogobius melanostomus). The round goby is a benthic fish that has heavily invaded four of the five Laurentian Great Lakes. Because it inhabits a variety of substrates, including coastal breakwaters, traditional methods (e.g., trawling, trapping) are inadequate to quantify overall population size. Environmental DNA (eDNA) may be a viable option for improving detection and quantification of the species. Field data include number of round goby caught and associated ambient conditions of the aquatic matrix (temperature, pH, turbidity, conductivity, dissolved oxygen). Mesocosm...
Environmental DNA data, fish abundance data, and stream habitat data from northwest Montana and northeast Washington and southern British Columbia, Canada
Field estimates of the abundance of two trout species (bull trout and westslope cutthroat trout) in Montana and rainbow trout in Washington and British Columbia were collected in concert with environmental DNA samples (eDNA) to evaluate if eDNA copy numbers correlated with abundance of trout. In addition, stream habitat data including channel units (pools, riffles), substrate, large woody debris, among others, were collected at sites.
Fish abundance data, environmental DNA (eDNA) data, and stream habitat data from streams in western Montana
The dataset includes measurements of stream habitat, fish abundance of westslope cutthroat trout and bull trout, and species-specific measures of environmental DNA (eDNA) from within the water. The data covers multiple streams in western Montana.
Detections of Fecal Indicator Bacteria in Samples from the Madera/Chowchilla-Kings Domestic Aquifer Study unit, 2014
These data describe microbiological analyses performed on groundwater samples from domestic drinking water supply collected from 42 groundwater wells in the Central Valley of California. Samples were collected between January 2014 and April 2014 for the Groundwater Ambient Monitoring and Assessment (GAMA) program priority basin assessment of the Madera, Chowchilla, and Kings (MACK) groundwater sub-basins’ shallow aquifers. A total of 75 wells were sampled for the MACK study unit between August 2013 and April 2014. Samples for this dataset were vacuum filtered and plated on MI and mEI agars prior to incubation to promote colony growth. Colonies were tallied by their species into columns for various fecal indicator...
This data set was collected to provide examples and aid in developing a standardized way of determining LOD and LOQ for eDNA assays and has 3 data files. GEDWG_LOD_DATA3.csv is raw qPCR data from multiple labs running multiple standards of known concentration for eDNA assays they regularly use. Comparison-Data.csv is the merged data output from running a generic LOD/LOQ calculator script multiple times with different LOD model settings. The generic LOD/LOQ calculator script is available at: https://github.com/cmerkes/qPCR_LOD_Calc, and details about the multiple settings used are commented in the analysis script available at: https://github.com/cmerkes/LOD_Analysis
These data include metadata and associated data files associated with the manuscript, "Economical Environmental Sampler Designs for Detecting Airborne Spread of Fungi Responsible for Rapid ʽŌhiʽa Death." These data include a total of 8 datasets used for both controlled and field studies evaluating the use of Active (with battery operated fan) and Passive (dependent on wind) USGS Environmental Samplers on Hawaii Island between 2016-2018. Samplers were operated under controlled laboratory and field conditions with a commercial sampler (Rotorod® Model 20) to compare efficacy in capturing synthetic polyethylene spheres (12 - 160 µm in diameter) and also Xyleborus spp. boring dust (frass) known to contain the fungi responsible...
We designed two new samplers for monitoring airborne particulates, including fungal and fern spores and plant pollen, that rely on natural wind currents (Passive Environmental Sampler) or a battery operated fan (Active Environmental Sampler). Both samplers are modeled after commercial devices such as the Rotorod® and the Burkard samplers, but are more economical and require less maintenance than commercial devices. We compared our two new samplers to Rotorod® samplers using Xyleborus spp. boring dust known to contain ROD causing pathogens. The comparison was done in a large outdoor field cage to determine relative effectiveness of the three samplers for capturing windblown boring dust. The dataset contains results...
Detection of invasive aquatic plants Myriophyllum spicatum and Egeria densa in lakes using eDNA, field and mesocosm data
We conducted a study to test the factors related to detectability of two invasive aquatic plants (Egeria densa and Myriophyllym spicatum) using environmental DNA (eDNA), over extended periods of time, and specifically examined how plant growth stage and abundance relates to eDNA detection in semi-natural and natural conditions. This dataset is from sampling performed in summer of 2018 in lakes with varying species abundances, and a subset of lakes were re-sampled to test temporal variability in detection.