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Taxonomic composition of environmental DNA acquired by filtration from the St. Regis River, New York

Metadata Updated: July 6, 2024

Environmental DNA (eDNA) surveys have become important tools for monitoring aquatic biodiversity. Barcode sequencing of eDNA generates community profiles that, while potentially biased in both capture and amplification, can nonetheless yield high information content per unit cost. While factors affecting eDNA capture and amplification have been heavily studied, watershed-scale assessments of fish communities and our confidence in such have been less frequent. We performed an initial watershed-scale characterization of fish eDNA using rapid, low-volume filtering with replicate and control samples scaled for a single Illumina MiSeq flow cell, using the mitochondrial 12S ribosomal RNA locus for taxonomic profiling. Our bioinformatic approach included 1) direct estimation of sequencing error from unambiguous mappings (alignments) and simulation of error in taxonomic assignment under various mapping criteria; 2) binning of species based on inferred assignment error rather than by taxonomic rank; and 3) visualization of mismatch distributions to facilitate discovery of distinct haplotypes attributed to the same reference. Our approach was implemented for the St. Regis River, New York, United States, which supports a valuable recreational fishery and has been a target of restoration activities. We used a large record of St. Regis-specific observations to validate our assignments. We found that 300 mL drawn through 25-mm filters yielded greater than 5 ng/µL DNA at most sites in August and September, which was an approximate threshold for generating strong sequencing libraries in our hands. Using inferred sequence error rates, we binned 12S references for 110 species on a state-level checklist into 85 single-species bins and seven multispecies bins. Of 48 taxonomic bins actually observed in the St. Regis, we detected eDNA consistent with 40, with an additional four detections flagged as potential contaminants post-collection. Sixteen unobserved species detected by eDNA ranged from plausible to implausible based on distributional data, whereas six observed species had no 12S reference sequence.

Access & Use Information

Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

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Dates

Metadata Created Date June 1, 2023
Metadata Updated Date July 6, 2024

Metadata Source

Harvested from DOI EDI

Additional Metadata

Resource Type Dataset
Metadata Created Date June 1, 2023
Metadata Updated Date July 6, 2024
Publisher U.S. Geological Survey
Maintainer
@Id http://datainventory.doi.gov/id/dataset/e84c5e5fe681cb5bb2a0d6bc7b5b790a
Identifier USGS:5f35b83082cee144fb35a75d
Data Last Modified 20201124
Category geospatial
Public Access Level public
Bureau Code 010:12
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Metadata Catalog ID https://datainventory.doi.gov/data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Harvest Object Id 61f6dc4b-81d7-4a3a-95f4-6d7d601cc185
Harvest Source Id 52bfcc16-6e15-478f-809a-b1bc76f1aeda
Harvest Source Title DOI EDI
Metadata Type geospatial
Old Spatial -79.76,40.5,-71.85,45.01
Publisher Hierarchy White House > U.S. Department of the Interior > U.S. Geological Survey
Source Datajson Identifier True
Source Hash 9345b06c43f26e67a59d941d314762c5b7696dad4618aa764b8bf52925bd0db5
Source Schema Version 1.1
Spatial {"type": "Polygon", "coordinates": -79.76, 40.5, -79.76, 45.01, -71.85, 45.01, -71.85, 40.5, -79.76, 40.5}

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