Evidence map›Paper›PMID 39418270›Full record

ArticlePloS one2024

Detection and transport of environmental DNA from two federally endangered mussels.

Brandon J Sansom, Dannise V Ruiz-Ramos, Nathan L Thompson, Maura O Roberts, Zachary A Taylor, Katie Ortiz, Jess W Jones, Catherine A Richter, Katy E Klymus

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Brandon J SansomU.S. Geological Survey-Columbia Environmental Research Center, Columbia, MO, United States of America.ORCID 0000-0001-7999-9547
Dannise V Ruiz-RamosU.S. Geological Survey-Columbia Environmental Research Center, Columbia, MO, United States of America.
Nathan L ThompsonU.S. Geological Survey-Columbia Environmental Research Center, Columbia, MO, United States of America.
Maura O RobertsU.S. Geological Survey-Columbia Environmental Research Center, Columbia, MO, United States of America.
Zachary A TaylorMaryland Department of Natural Resources, Annapolis, MD, United States of America.
Katie OrtizDepartment of Fish and Wildlife Conservation, Virginia Polytechnic Institute and State University, Blacksburg, VA, United States of America.
Jess W JonesDepartment of Fish and Wildlife Conservation, U.S. Fish and Wildlife Service, Blacksburg, VA, United States of America.
Catherine A RichterU.S. Geological Survey-Columbia Environmental Research Center, Columbia, MO, United States of America.
Katy E KlymusU.S. Geological Survey-Columbia Environmental Research Center, Columbia, MO, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Environmental DNA (eDNA) offers a novel approach to supplement traditional surveys and provide increased spatial and temporal information on species detection, and it can be especially beneficial for detecting at risk or threatened species with minimal impact on the target species. The transport of eDNA in lotic environments is an important component in providing more informed descriptions of where and when a species is present, but eDNA transport phenomena are not well understood. In this study, we used species-specific assays to detect eDNA from two federally endangered mussels in two geographically distinct rivers. Using the eDNA concentrations measured from field samples, we developed a one-dimensional (1D) hydrodynamic transport model to predict the downstream fate and transport of eDNA. We detected eDNA from both federally endangered mussels across several seasons and flow rates and up to 3.5 km downstream from the source populations, but the detection rates and eDNA concentrations were highly variable across and within rivers and study reaches. Our 1D transport models successfully integrated the variability of the eDNA field samples into the model predictions and overall model results were generally within ±1 standard error of the eDNA field concentration values. Overall, the results of this study demonstrate the importance of optimizing the spatial locations from where eDNA is collected downstream from a source population, and it highlights the need to improve understanding on the shedding mechanisms and magnitude of eDNA from source populations and biogeomorphic processes that influence eDNA transport.

Indexed as

DNA, EnvironmentalEndangered SpeciesRiversAnimalsBivalviaEnvironmental MonitoringDNA, Environmental

Identifiers

PMID39418270
PMCPMC11486370

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.