Evidence map›Paper›PMID 41606461›Full record

ArticleBMC microbiology2026

Genome-wide screening of antibiotic survival genes in Escherichia coli MG1655.

Xinyu Li, Qinglei Gan, Chenguang Fan

Abstract read
In one paragraph

Article in BMC 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

3 authors.

Xinyu LiCell and Molecular Biology Program, University of Arkansas, Fayetteville, AR, 72701, USA.
Qinglei GanDepartment of Chemistry and Biochemistry, University of Arkansas, Fayetteville, AR, 72701, USA.
Chenguang FanCell and Molecular Biology Program, University of Arkansas, Fayetteville, AR, 72701, USA. cf021@uark.edu.

Funding

Studying lysine aminoacylation of human metabolic enzymesR15GM159279 · NIGMS · UNIVERSITY OF ARKANSAS AT FAYETTEVILLE · PI FAN, CHENGUANG · 2025 to 2025
$563k
NIGMS NIH HHS R15 GM159279NIGMS NIH HHS R15GM159279
6 · The paper itself

Abstract

backgroundThe widespread usage and exposure to non-lethal concentrations of antibiotics has made antibiotic resistance one of the top global health threats. Besides studying bacterial responses towards antibiotic treatment, identifying preexisting genes in bacterial genomes that could protect cells from antibiotics is another important approach to understanding the mechanisms of resistance. In this study, we tested each of the ~4,200 strains in the ASKA library, which is an overexpression library of Escherichia coli K-12 open reading frames, to identify potential antibiotic survival genes in E. coli against 12 types of commonly used antibiotics.

resultsIn total, we identified 172 candidate genes, whose overexpression increased minimum inhibitory concentrations (MICs) by at least 3-fold against one or multiple antibiotics. These identified genes are mainly involved in metabolism, stress responses, protein synthesis, and transporters, and many of them have not been shown to be associated with antibiotic resistance before.

conclusionsThis study provides a broad profile of antibiotic survival genes in the E. coli MG1655 strain, implying potential mechanisms for adaptation to antibiotic exposure.

Indexed as

Anti-Bacterial AgentsDrug Resistance, BacterialEscherichia coliEscherichia coli K12Genes, BacterialEscherichia coli ProteinsGenome, BacterialMicrobial Sensitivity TestsAnti-Bacterial AgentsEscherichia coli ProteinsAntibiotic resistanceGenome-wide screeningThe ASKA library

Identifiers

PMID41606461
PMCPMC12924614

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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.