Evidence map›Paper›PMID 42233158›Full record

ArticleFrontiers in cellular and infection microbiology2026

Genomic characterization and niche adaptive analysis of

Shan Zhong, Lei Xing, Huan Li, Licheng Wang, Xiong Zhu, Chongzhen Wang

Abstract read
In one paragraph

Article in Frontiers in cellular and infection 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.

Shan ZhongClinical and Central Laboratory of Sanya People's Hospital, Sanya, Hainan, China.
Lei XingDepartment of Hematology and Oncology of Sanya People's Hospital, Sanya, Hainan, China.
Huan LiClinical and Central Laboratory of Sanya People's Hospital, Sanya, Hainan, China.
Licheng WangClinical and Central Laboratory of Sanya People's Hospital, Sanya, Hainan, China.
Xiong ZhuClinical and Central Laboratory of Sanya People's Hospital, Sanya, Hainan, China.
Chongzhen WangClinical and Central Laboratory of Sanya People's Hospital, Sanya, Hainan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Methods: A bacterial strain designated W2469 was isolated from the bile specimen of a patient with acute suppurative cholecystitis and cholecystolithiasis. Conventional phenotypic and molecular identification [matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS), VITEK 2 biochemical assay, 16S ribosomal RNA (rRNA), and whole-genome sequencing (WGS)] was performed. Bioinformatics analyses, including average nucleotide identity (ANI), digital DNA-DNA hybridization (dDDH), core genome single-nucleotide polymorphism (cgSNP), pan-genome analysis, and functional annotation against COG, KEGG, CAZy, VFDB, and CARD databases, were conducted to characterize the strain. Results: Conventional methods yielded consistent misidentification of the strain, while WGS definitively assigned it to Conclusion: This study provides the first documentation of

Indexed as

BileGenome, BacterialPseudomonasPseudomonas InfectionsAnti-Bacterial AgentsComputational BiologyDNA, BacterialGenomicsHumansLipopeptidesMicrobial Sensitivity TestsPhylogenyRNA, Ribosomal, 16SSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationWhole Genome SequencingAnti-Bacterial AgentsDNA, BacterialLipopeptidesRNA, Ribosomal, 16Santimicrobial resistance homologous genesbacterial genomic diversitybile specimenfirst clinical isolateMALDI-TOF MSniche adaptationPseudomonas promysalinigeneswhole genome sequencing (WGS)

Identifiers

PMID42233158
PMCPMC13223145

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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.