Evidence map›Paper›PMID 38566327›Full record

ArticleJournal of veterinary diagnostic investigation : official publication of the American Association of Veterinary Laboratory Diagnosticians, Inc2024

Genomic characterization of antimicrobial resistance in 61 aquatic bacterial isolates.

Chrissy D Eckstrand, Brandi K Torrevillas, Rebecca M Wolking, Marla Francis, Laura B Goodman, Olgica Ceric, Trevor L Alexander, Kevin R Snekvik, Claire R Burbick

Open access · greenAbstract read
In one paragraph

Article in Journal of veterinary diagnostic investigation : official publication of the American Association of Veterinary Laboratory Diagnosticians, Inc, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.2field-weighted citation impact, top 24% 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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Special section on aquatic animal health and disease.Journal of veterinary diagnostic investigation : official publication of the American Association of Veterinary Laboratory Diagnosticians, Inc · 2024
    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

9 authors at 3 institutions in 1 country.

Chrissy D EckstrandWashington Animal Disease Diagnostic Laboratory, College of Veterinary Medicine, Washington State University, Pullman, WA, USA.ORCID 0000-0002-6844-0251
Brandi K TorrevillasWashington Animal Disease Diagnostic Laboratory, College of Veterinary Medicine, Washington State University, Pullman, WA, USA.ORCID 0000-0002-1993-7712
Rebecca M WolkingWashington Animal Disease Diagnostic Laboratory, College of Veterinary Medicine, Washington State University, Pullman, WA, USA.
Marla FrancisWashington Animal Disease Diagnostic Laboratory, College of Veterinary Medicine, Washington State University, Pullman, WA, USA.
Laura B GoodmanBaker Institute for Animal Health, Cornell University, Ithaca, NY, USA.ORCID 0000-0002-8327-3092
Olgica CericVeterinary Laboratory Investigation and Response Network (Vet-LIRN), Center for Veterinary Medicine, U.S. Food and Drug Administration, Laurel, MD, USA.
Trevor L AlexanderWashington Animal Disease Diagnostic Laboratory, College of Veterinary Medicine, Washington State University, Pullman, WA, USA.ORCID 0000-0002-2919-8386
Kevin R SnekvikWashington Animal Disease Diagnostic Laboratory, College of Veterinary Medicine, Washington State University, Pullman, WA, USA.
Claire R BurbickWashington Animal Disease Diagnostic Laboratory, College of Veterinary Medicine, Washington State University, Pullman, WA, USA.ORCID 0000-0003-4185-7775
Washington State University · USCenter for Veterinary Medicine · USCornell University · US

Funding

Assessment of Zoonotic Risk of Emerging Infections in Companion AnimalsU18FD006993 · FDA · CORNELL UNIVERSITY · PI GOODMAN, LAURA BRUNENGRABER, STANHOPE, MICHAEL J · 2020 to 2024
$984k
Validation of Antimicrobial Resistance Data Analysis and Quality Control Procedures for Whole Genome Sequencing Using Commensal E. coli from Multiple Animal SpeciesU18FD006453 · FDA · WASHINGTON STATE UNIVERSITY · PI Claire R Burbick · 2018 to 2026
$803k
Genomic surveillance for antimicrobial resistance in animalsU18FD006716 · FDA · CORNELL UNIVERSITY · PI Laura Brunengraber Goodman · 2019 to 2026
$707k
FDA HHS U18 FD006180FDA HHS U18 FD006453FDA HHS U18 FD006716FDA HHS U18 FD006993
6 · The paper itself

Abstract

Antimicrobial resistance (AMR) in pathogens important to aquatic animal health is of increasing concern but vastly understudied. Antimicrobial therapy is used to both treat and prevent bacterial disease in fish and is critical for a viable aquaculture industry and for maintenance of wild fish populations. Unfortunately, phenotypic antimicrobial susceptibility testing is technically difficult for bacteria recovered from aquatic animal hosts resulting in challenges in resistance monitoring using traditional methods. Whole-genome sequencing provides an appealing methodology for investigation of putative resistance. As part of the ongoing efforts of the FDA CVM Vet-LIRN to monitor AMR, source laboratories cultured and preliminarily identified pathogenic bacteria isolated from various fish species collected in 2019 from across the United States. Sixty-one bacterial isolates were evaluated using whole-genome sequencing. We present here the assembled draft genomes, AMR genes, predicted resistance phenotypes, and virulence factors of the 61 isolates and discuss concurrence of the identifications made by source laboratories using matrix-assisted laser desorption/time-of-flight mass spectrometry.

Indexed as

Anti-Bacterial AgentsBacteriaDrug Resistance, BacterialFish DiseasesGenome, BacterialAnimalsFishesMicrobial Sensitivity TestsWhole Genome SequencingAnti-Bacterial Agentsantimicrobial resistanceaquaticbacteriagenomicsMALDI-TOF MS

Identifiers

PMID38566327
PMCPMC11110781
OpenAlexW4393900425

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.