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ArticleMedical microbiology and immunology2025

Pseudomonas fragi or not? Beyond MALDI-TOF in the frontier of Pseudomonas diversity.

María Guadalupe Martínez-Zavaleta, Rodolfo García-Contreras, Yuki Hoshiko, Toshinari Maeda, Nurhasliza Zolkefli, Claudia Adriana Colín-Castro, Melissa Hernández-Durán, Laura Aguilar-Vega, Jossue Ortíz-Álvarez, Rafael Franco-Cendejas and 1 more

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Article in Medical microbiology and immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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.

María Guadalupe Martínez-ZavaletaLaboratorio de Microbiología Clínica, Instituto Nacional de Rehabilitación Luis Guillermo Ibarra Ibarra, Mexico City, Mexico.
Rodolfo García-ContrerasLaboratorio de Bacteriología, Departamento de Microbiología y Parasitología, Facultad de Medicina, Universidad Nacional Autónoma de México, Mexico City, Mexico.
Yuki HoshikoDivision of Microbiology, Department of Infectious Medicine, Kurume University School of Medicine, Fukuoka, Japan.
Toshinari MaedaDepartment of Biological Functions Engineering, Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology, Kitakyushu, Japan.
Nurhasliza ZolkefliDepartment of Biological Functions Engineering, Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology, Kitakyushu, Japan.
Claudia Adriana Colín-CastroLaboratorio de Microbiología Clínica, Instituto Nacional de Rehabilitación Luis Guillermo Ibarra Ibarra, Mexico City, Mexico.
Melissa Hernández-DuránLaboratorio de Microbiología Clínica, Instituto Nacional de Rehabilitación Luis Guillermo Ibarra Ibarra, Mexico City, Mexico.
Laura Aguilar-VegaLaboratorio de Microbiología, Departamento de Microbiología y Parasitología. Facultad de Medicina, Universidad Nacional Autónoma de México, Mexico City, Mexico.
Jossue Ortíz-ÁlvarezPrograma "Investigadoras e Investigadores por México", Consejo Nacional de Humanidades, Ciencias y Tecnologías (CONAHCYT), Mexico City, Mexico.
Rafael Franco-CendejasSubdirección de Investigación Biomédica, Instituto Nacional de Rehabilitación Luis Guillermo Ibarra Ibarra, Mexico City, Mexico. raffcend@yahoo.com.
Luis Esaú López-JácomeLaboratorio de Microbiología Clínica, Instituto Nacional de Rehabilitación Luis Guillermo Ibarra Ibarra, Mexico City, Mexico. esaulopezjacome@quimica.unam.mx.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Advanced platforms, such as whole genome sequencing (WGS), should be employed to enhance and refine microbial identification compared to phenotypic methods, including miniaturized biochemical tests and MALDI-TOF. The application of WGS has led to the reclassification of clinical bacterial pathogens previously misidentified by phenotypic techniques. In this study, eight clinical isolates initially identified as Pseudomonas fragi by VITEK MS were subjected to WGS and bioinformatics analysis. The results revealed one strain as Pseudomonas lundensis, while average nucleotide identity and phylogenetic reconstruction suggested that the remaining seven strains represent novel species within the Pseudomonas fluorescens superclade. The strains harbored four antimicrobial resistance genes conferring resistance to β-lactams, fluoroquinolones, phenicols, and tetracyclines, yet in vitro assays indicated susceptibility to carbapenems and intermediate susceptibility to colistin. Additionally, the strains possessed virulence factor genes associated with alginate biosynthesis, flagellar formation, pilus assembly, and iron uptake, with Type III Secretion System (T3SS)-related genes detected only in P. lundensis. Notably, the isolated Pseudomonas spp., exhibited multiple haplotypes, a closely related pan-genome, and similar phenotypic characteristics. These findings underscore the necessity of integrating multiple approaches, including molecular methods such as 16S rRNA gene amplification, sanger sequencing, and WGS, alongside traditional phenotypic techniques, to improve the accuracy of microbial identification in clinical settings.

Indexed as

Genetic VariationPseudomonasPseudomonas InfectionsAnti-Bacterial AgentsBacterial Typing TechniquesComputational BiologyGenome, BacterialHumansMicrobial Sensitivity TestsPhylogenyRNA, Ribosomal, 16SSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationVirulence FactorsWhole Genome SequencingAnti-Bacterial AgentsRNA, Ribosomal, 16SVirulence FactorsAntimicrobial resistanceBacterial identificationMALDI-TOFMisidentificationPseudomonas fragiPseudomonas lundensisPseudomonas spp.Virulence factorsWhole genome sequencing

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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.