Evidence map›Paper›PMID 42864346›Full record

ArticleNature communications2026

Decoding the genomic repertoire of fosfomycin resistance genes in staphylococci.

Yiyi Chen, Feiteng Zhu, Mengke Ye, Yueqin Hong, Peiqi Wang, Haiping Wang, Zhengan Wang, Xiaoxing Du, Lu Sun, Yunsong Yu and 1 more

Abstract read
In one paragraph

Article in Nature communications, 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
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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

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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

11 authors.

Yiyi Chen *Department of Pathology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Feiteng Zhu *Key Laboratory of Microbial Technology and Bioinformatics of Zhejiang Province, Hangzhou, China.
Mengke YeKey Laboratory of Microbial Technology and Bioinformatics of Zhejiang Province, Hangzhou, China.
Yueqin HongKey Laboratory of Microbial Technology and Bioinformatics of Zhejiang Province, Hangzhou, China.
Peiqi WangKey Laboratory of Microbial Technology and Bioinformatics of Zhejiang Province, Hangzhou, China.
Haiping WangKey Laboratory of Microbial Technology and Bioinformatics of Zhejiang Province, Hangzhou, China.
Zhengan WangKey Laboratory of Microbial Technology and Bioinformatics of Zhejiang Province, Hangzhou, China.
Xiaoxing DuKey Laboratory of Microbial Technology and Bioinformatics of Zhejiang Province, Hangzhou, China.
Lu SunKey Laboratory of Microbial Technology and Bioinformatics of Zhejiang Province, Hangzhou, China. lusun@zju.edu.cn.ORCID 0009-0008-1956-6940
Yunsong YuKey Laboratory of Microbial Technology and Bioinformatics of Zhejiang Province, Hangzhou, China. yvys119@zju.edu.cn.ORCID 0000-0003-2903-918X
Yan ChenKey Laboratory of Microbial Technology and Bioinformatics of Zhejiang Province, Hangzhou, China. chenyan@zju.edu.cn.ORCID 0000-0002-7679-1713

Funding

National Natural Science Foundation of China (National Science Foundation of China) 823B2056National Natural Science Foundation of China (National Science Foundation of China) 82472284Natural Science Foundation of Zhejiang Province (Zhejiang Provincial Natural Science Foundation) LR25H190001
6 · The paper itself

Abstract

Fosfomycin is regaining clinical relevance for multidrug-resistant staphylococcal infections, yet the diversity, evolutionary origin and nomenclature of staphylococcal fosfomycin resistance genes remain inconsistently defined. We surveyed 17,024 publicly available genomes representing 14 clinically common Staphylococcus species to curate a catalogue of fosfomycin-modifying fos homologues. By integrating amino-acid identity, phylogenetic topology, genomic context and population-level distribution, we established a reproducible classification framework that resolved species- or lineage-associated intrinsic genes, including fosSA, fosSE, fosSC, fosSCp and fosSL, from acquired determinants, including fosB, fosD, fosY and ten prophage-associated families designated fosSΦA-J. Intrinsic genes showed conserved local contexts, whereas prophage-borne determinants occupied diverse insertion sites, supporting distinct evolutionary trajectories. Functional assays showed variable effects on fosfomycin susceptibility. Deleting fosSA in MRSA reduced the fosfomycin MIC 16-fold, and complementation restored resistance. This study provides a unified nomenclature and evolutionary framework for staphylococcal fos genes and highlights the need to monitor both lineage-associated and mobile fos determinants.

Indexed as

Anti-Bacterial AgentsDrug Resistance, BacterialFosfomycinGenome, BacterialStaphylococcusBacterial ProteinsEvolution, MolecularGenes, BacterialGenomicsMicrobial Sensitivity TestsPhylogenyAnti-Bacterial AgentsBacterial ProteinsFosfomycin

Identifiers

PMID42864346
PMCPMC13658217

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