Evidence map›Paper›PMID 41244678›Full record

ArticleFrontiers in microbiology2025

Characterizing the resistome of

Austin C Surphlis, An-Chi Cheng, Morgan C Metrailer, Andrew P Bluhm, Treenate Jiranantasak, Frank Tuozzo, Enrique Doster, Jason K Blackburn, Kwangcheol C Jeong, Christina Boucher and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in microbiology, 2025. 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

13 authors.

Austin C SurphlisDepartment of Infectious Diseases and Immunology, College of Veterinary Medicine, University of Florida, Gainesville, FL, United States.
An-Chi ChengDepartment of Large Animal Clinical Sciences, College of Veterinary Medicine, University of Florida, Gainesville, FL, United States.
Morgan C MetrailerEmerging Pathogens Institute, University of Florida, Gainesville, FL, United States.
Andrew P BluhmEmerging Pathogens Institute, University of Florida, Gainesville, FL, United States.
Treenate JiranantasakEmerging Pathogens Institute, University of Florida, Gainesville, FL, United States.
Frank TuozzoEmerging Pathogens Institute, University of Florida, Gainesville, FL, United States.
Enrique DosterVERO Program, Texas A&M University, Canyon, TX, United States.
Jason K BlackburnEmerging Pathogens Institute, University of Florida, Gainesville, FL, United States.
Kwangcheol C JeongEmerging Pathogens Institute, University of Florida, Gainesville, FL, United States.
Christina BoucherDepartment of Computer and Information Science and Engineering, University of Florida, Gainesville, FL, United States.
Juan M Campos-KrauerDepartment of Large Animal Clinical Sciences, College of Veterinary Medicine, University of Florida, Gainesville, FL, United States.
Samantha M WiselyEmerging Pathogens Institute, University of Florida, Gainesville, FL, United States.
Kuttichantran SubramaniamDepartment of Infectious Diseases and Immunology, College of Veterinary Medicine, University of Florida, Gainesville, FL, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Antimicrobial resistance (AMR) is a critical public health issue; with many experts suggesting we are already in a post-antibiotic era. The widespread use of antibiotics in agriculture, human, and veterinary medicine influences the spread of antibiotic resistance genes (ARGs) among humans, animals, and the environment. In Florida, white-tailed deer (WTD; Methods: Samples from various tissues were collected during necropsy. Results: A total of 362 unique ARGs were identified, conferring resistance to 12 antimicrobial classes via 19 mechanisms. The most abundant classes were ß-lactams, multi-drug resistance, and bacitracin. Antimicrobial susceptibility testing showed that 30% of Conclusion: This is the first study to characterize the resistome of farmed WTD in Florida, providing valuable data for better management of antimicrobial use in these populations.

Indexed as

antimicrobial resistanceantimicrobial resistance genesdrug resistanceEscherichia coliresistomewhite-tailed deerwhole genome-sequencing

Identifiers

PMID41244678
PMCPMC12613279

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.