Evidence map›Paper›PMID 42182037›Full record

ArticleFrontiers in microbiology2026

Antibiotic resistance in

Ju Zhang, Liqing Huang, Liang Zhong, Zhaoyang Wang, Celia Schunter, Sophie St-Hilaire

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2026. 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

6 authors.

Ju ZhangDepartment of Public Health and Infectious Diseases, Jockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong, Kowloon Tong, Hong Kong SAR, China.
Liqing HuangDepartment of Public Health and Infectious Diseases, Jockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong, Kowloon Tong, Hong Kong SAR, China.
Liang ZhongDepartment of Public Health and Infectious Diseases, Jockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong, Kowloon Tong, Hong Kong SAR, China.
Zhaoyang WangCollege of Animal Sciences and Technology/College of Veterinary Medicine, Huazhong Agricultural University, Wuhan, Hubei, China.
Celia SchunterSwire Institute of Marine Science, School of Biological Sciences, University of Hong Kong, Pok Fu Lam, Hong Kong SAR, China.
Sophie St-HilaireDepartment of Public Health and Infectious Diseases, Jockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong, Kowloon Tong, Hong Kong SAR, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The aquatic environment is an ideal ecosystem for the development of antimicrobial resistance (AMR) as it can be impacted by many sources of antibiotic residues. Methods: To better understand the mechanism for AMR associated with exposure to subtherapeutic concentrations of antibiotics, we monitored the genetic and transcriptional changes in Results: Our results showed that all three independent lineages rapidly developed OTC resistance, starting after 3 days of exposure, with consistent adaptation patterns across replicates. Whole-genome sequencing identified recurrent point mutations, particularly in genes Discussion: These combined genetic and transcriptional changes likely drove the progressive development of resistance during incremental antibiotic exposure. Our findings support the notion that AMR can arise in aquatic bacteria through coordinated regulation of several intrinsic mechanisms and highlight potential risks during in-feed antibiotic usage in aquaculture.

Indexed as

Aeromonas hydrophilaantibiotic resistanceaquacultureoxytetracyclinetranscriptomewhole genome sequencing

Identifiers

PMID42182037
PMCPMC13194095

What OpenQuestion holds

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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.