Evidence map›Paper›PMID 34788066›Full record

ArticleApplied and environmental microbiology2022

Detecting Flavobacterial Fish Pathogens in the Environment via High-Throughput Community Analysis.

Todd Testerman, Lidia Beka, Emily Ann McClure, Stephen R Reichley, Stacy King, Timothy J Welch, Joerg Graf

Open access · greenAbstract read
In one paragraph

Article in Applied and environmental microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 40% of its field
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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. The C-terminal domain of T9SS component protein SprA assistsApplied and environmental microbiology · 2025
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  2. Article
  3. Investigating the Ability ofPathogens (Basel, Switzerland) · 2023
    Article
  4. 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

7 authors at 2 institutions in 1 country.

Todd TestermanUniversity of Connecticutgrid.63054.34, Department of Molecular and Cell Biology, Storrs, Connecticut, USA.ORCID 0000-0003-4097-8348
Lidia BekaUniversity of Connecticutgrid.63054.34, Department of Molecular and Cell Biology, Storrs, Connecticut, USA.
Emily Ann McClureUniversity of Connecticutgrid.63054.34, Department of Molecular and Cell Biology, Storrs, Connecticut, USA.
Stephen R ReichleyRiverence Provisions, Buhl, Idaho, USA.ORCID 0000-0002-4537-4335
Stacy KingRiverence Provisions, Buhl, Idaho, USA.
Timothy J WelchNational Center for Cool and Cold Water Aquaculture, Agricultural Research Service/U.S. Department of Agriculture, Kearneysville, West Virginia, USA.
Joerg GrafUniversity of Connecticutgrid.63054.34, Department of Molecular and Cell Biology, Storrs, Connecticut, USA.ORCID 0000-0001-5320-2712
University of Connecticut · USNational Center for Cool and Cold Water Aquaculture · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diseases caused by the fish pathogens Flavobacterium columnare and Flavobacterium psychrophilum are major contributors of preventable losses in the aquaculture industry. The persistent and difficult-to-control infections caused by these bacteria make timely intervention and prophylactic elimination of pathogen reservoirs important measures to combat these disease-causing agents. In this study, we present two independent assays for detecting these pathogens in a range of environmental samples. Natural water samples were inoculated with F. columnare and F. psychrophilum over 5 orders of magnitude, and pathogen levels were detected using Illumina MiSeq sequencing and droplet digital PCR. Both detection methods accurately identified pathogen-positive samples and showed good agreement in quantifying each pathogen. Additionally, the real-world application of these approaches was demonstrated using environmental samples collected at a rainbow trout (Oncorhynchus mykiss) aquaculture facility. These results show that both methods can serve as useful tools for surveillance efforts in aquaculture facilities, where the early detection of these flavobacterial pathogens may direct preventative measures to reduce disease occurrence.

Indexed as

Fish DiseasesFlavobacteriaceae InfectionsOncorhynchus mykissAnimalsAquacultureFlavobacteriumRNA, Ribosomal, 16SRNA, Ribosomal, 16S16S rRNAaquaculturedetectiondroplet digital PCRFlavobacteriummetagenomicspathogen

Identifiers

PMID34788066
PMCPMC8788675
OpenAlexW3176513307

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.