Evidence map›Paper›PMID 40655447›Full record

ArticleEcology and evolution2025

Environmental DNA Detects Endangered Texas Hornshell and Its Hosts.

Daniel H Mason, Heidi A Henderson, Thomas W Franklin, Michael K Young, Jennifer E Hernandez, Cory L Engkjer, Joanna Hatt, Michael K Schwartz

Abstract read
In one paragraph

Article in Ecology and evolution, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

8 authors.

Daniel H MasonNational Genomics Center for Wildlife and Fish Conservation USFS Rocky Mountain Research Station Missoula Montana USA.ORCID https://orcid.org/0000-0002-2976-072X
Heidi A HendersonNational Genomics Center for Wildlife and Fish Conservation USFS Rocky Mountain Research Station Missoula Montana USA.
Thomas W FranklinNational Genomics Center for Wildlife and Fish Conservation USFS Rocky Mountain Research Station Missoula Montana USA.
Michael K YoungNational Genomics Center for Wildlife and Fish Conservation USFS Rocky Mountain Research Station Missoula Montana USA.
Jennifer E HernandezNational Genomics Center for Wildlife and Fish Conservation USFS Rocky Mountain Research Station Missoula Montana USA.
Cory L EngkjerNational Genomics Center for Wildlife and Fish Conservation USFS Rocky Mountain Research Station Missoula Montana USA.
Joanna HattNew Mexico Department of Game and Fish Santa Fe New Mexico USA.
Michael K SchwartzNational Genomics Center for Wildlife and Fish Conservation USFS Rocky Mountain Research Station Missoula Montana USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Environmental DNA techniques are continuously demonstrating their efficiencies over traditional survey methods for detecting rare species. Unionids have a need for focused conservation efforts as they represent some of the most imperiled aquatic species in North America. Freshwater mussels are notoriously difficult to detect using traditional sampling techniques due to their cryptic morphological features, benthic habitat use, and low densities. Further, the persistence of freshwater mussel populations requires that viable fish host species be present during spawning. Therefore, improved conservation tools are needed to detect and monitor both the imperiled unionids as well as their associated fish host species. Here, we developed novel quantitative PCR (qPCR) assays for the detection of the endangered Texas hornshell (

Indexed as

blue suckerfreshwater musselgray redhorsequantitative PCRRio Grande

Identifiers

PMID40655447
PMCPMC12245726

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.