Developing DNA Methods to Monitor Invasive Species and Biodiversity in Estuaries - NERRS/NSC(NERRS Science Collaborative)Data Set (DS) | Office for Coastal Management (OCM)
ID: 54574 | Updated: November 11, 2020 | Published / External
|Title:||Developing DNA Methods to Monitor Invasive Species and Biodiversity in Estuaries - NERRS/NSC(NERRS Science Collaborative)|
This project tested the use of eDNA methods to identify fish communities, assess biodiversity, and detect invasive crabs in different types of estuaries and connected streams. Samples were collected at Apalachicola, Great Bay, He’eai, Hudson, South Slough and Wells Reserves in 2018 and 2019. The project deployed two methods to analyze DNA in water samples: metabarcoding that identifies a wide range of species, and digital droplet Polymerase Chain Reaction (ddPCR) that identifies a single target organism. The team conducted baseline community assessments for fish at five reserve sites and conducted a survey of anadromous fish in a tributary stream at the sixth reserve. The project found that fish community and biodiversity assessments are well suited to eDNA applications, while invasive crabs are much harder to detect because they
do not shed much DNA. The project developed protocols and recommendations for the collection, filtering, and extraction of eDNA samples at estuarine sites, and provided information which will support the design of sampling programs for fish communities.
Biological monitoring programs are essential foundations for effective management of estuaries and coasts, but they can be expensive to conduct and methods such as the capture of living organisms may be traumatic for some target species. Advancements in DNA methods now make it possible to identify the organisms in an area by the DNA they leave behind, but there are relatively few proven sampling protocols and example datasets from estuaries. This project established a Collaborative Learning Community of Practice around Environmental DNA (eDNA) sampling within the National Estuarine Research Reserve system and explored the potential for eDNA to support estuarine management. Scientists and staff from six reserves worked Dataset Description: eDNA data from 6 NERRs NERRS Science Collaborative collaboratively with researchers, resource agencies, and a technical advisory team to design and
implement eDNA-based monitoring protocols for specific issues and species of interest in estuarine ecosystems.
University of New Hampshire
Collaborative Research – generating science that informs decisions
• Great Bay National Estuarine Research Reserve, New Hampshire
• New Hampshire Fish and Game Department
• Oregon Department of Fish and Wildlife
• South Slough National Estuarine Research Reserve, Oregon
• Wells National Estuarine Research Reserve, Maine
==About the data
The project team has made available three types data related to eDNA sequences and extractions from Wells, Great Bay, Hudson, Apalachicola, South Slough, and He’eia National Estuarine Research Reserves.
12S sequence data and summary of fish species
18S sequence data
Archived DNA extractions from water samples from 6 reserves
|Global Change Master Directory (GCMD) Science Keywords||Earth Science > Biosphere > Ecosystems > Marine Ecosystems > Estuary|
|None||12S sequence data|
|None||18S sequence data|
|Global Change Master Directory (GCMD) Location Keywords||Continent > North America > United States Of America > Maine|
|Global Change Master Directory (GCMD) Location Keywords||Continent > North America > United States Of America > New Hampshire|
|Global Change Master Directory (GCMD) Location Keywords||Continent > North America > United States Of America > Oregon|
|None||Great Bay NERR, NH|
|None||South Slough NERR, OR|
|None||Wells NERR, ME|
Data Set Information
|Data Set Scope Code:||Data Set|
|Maintenance Frequency:||None Planned|
The distributor does not assume liability.
|Date Effective From:||2017-10-31|
|Date Effective To:|
|Contact (Person):||Cothran, Jeremy|
|Currentness Reference:||Ground Condition|
Extent Group 1
Extent Group 1 / Geographic Area 1
Wells, ME NERR
Extent Group 1 / Geographic Area 2
Great Bay, NH NERR
Extent Group 1 / Geographic Area 3
South Slough, OR NERR
Extent Group 1 / Time Frame 1
|Time Frame Type:||Range|
|Data Access Constraints:||
|Data Use Constraints:||
Cite this dataset when used as a source: NOAA retains the right to analyze, synthesize and publish summaries of the NERRS/NSC data. The NERRS/NSC retains the right to be fully credited for having collected and process the data. Following academic courtesy standards, the NERR site where the data were collected should be contacted and fully acknowledged in any subsequent publications in which any part of the data are used. The data enclosed within this package/transmission are only as accurate as the quality assurance and quality control procedures that are described in the associated metadata reporting statement allow. The user bears all responsibility for its subsequent use/misuse in any further analyses or comparisons. The Federal government does not assume liability to the Recipient or third persons, nor will the Federal government reimburse or indemnify the Recipient for its liability due to any losses resulting in any way from the use of this data. Requested citation format: NOAA National Estuarine Research Reserve System (NERRS) Science Collaborative(NSC).
This site provides a project overview and links to all associated products, including data.
All genetic sequences generated by this project have been archived and made publicly available at the National Center for Biotechnology Information.
Processed datasets, data visualization tools, and related resources are available at the project webpage.
|Catalog Item ID:||54574|
|Metadata Record Created By:||Jeremy Cothran|
|Metadata Record Created:||2018-11-01 11:20+0000|
|Metadata Record Last Modified By:||Jeremy Cothran|
|Metadata Record Last Modified:||2020-11-11 18:20+0000|
|Metadata Record Published:||2020-03-11|
|Metadata Publication Status:||Published Externally|
|Do Not Publish?:||N|
|Metadata Next Review Date:||2021-03-12|