Evidence map›Paper›PMID 41982883›Full record

ArticleFrontiers in microbiology2026

Phylogenetic divergence drives distinct antimicrobial susceptibility profiles and resistomes in

Boqing Xu, Ruibai Wang

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

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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

2 authors.

Boqing XuNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Ruibai WangNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Methods: In this study, the antibiotic susceptibility of 21 average nucleotide identity (ANI) species that were relatively evenly distributed across the genus-level ANI clustering tree was tested, and the relationship between the antibiotic resistance gene profiles and phylogenetic divergence was investigated. Results: Among the 17 drugs tested, tigecycline showed 100% susceptibility, followed by chloramphenicol and trimethoprim-sulfamethoxazole (7.69% resistance). Cefotaxime had the highest resistance (97.44%), while ceftazidime and ceftazidime/avibactam showed 41.03% resistance. The overall multidrug resistance (MDR) rate was 74.36%. All strains harbored the SmeTDEF and AdeFGH multidrug efflux systems, while Smc-sgn strains commonly carried class A and B β-lactamases ( Conclusion: Based on this study, preliminary insights into the comprehensive antibiotic resistance profiles and genetic mechanisms of

Indexed as

antibiotic resistancedeterminantgenetic lineageSmeDEFStenotrophomonas

Identifiers

PMID41982883
PMCPMC13070904

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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.