Evidence map›Paper›PMID 41582111›Full record

ArticleMicrobial ecology2026

Ultrastructure Analysis by Cryo-Electron Tomography Revealed Mesosomes in the Gram-negative Delftia Acidovorans.

Ana C Afonso, Jack Botting, Manuel Simões, Lúcia Simões, Jun Liu, Maria José Saavedra

Abstract read
In one paragraph

Article in Microbial ecology, 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.

Ana C AfonsoLEPABE, ALICE, Faculty of Engineering, University of Porto, Rua Dr. Roberto Frias, Porto, 4200-465, Portugal. anaafonso@fe.up.pt.
Jack BottingDepartment of Microbial Pathogenesis, Yale School of Medicine, New Haven, CT, 06536, USA.
Manuel SimõesLEPABE, ALICE, Faculty of Engineering, University of Porto, Rua Dr. Roberto Frias, Porto, 4200-465, Portugal. mvs@fe.up.pt.
Lúcia SimõesDepartment of Biology, University of Minho, Campus de Gualtar, Braga, 4710-057, Portugal.
Jun LiuDepartment of Microbial Pathogenesis, Yale School of Medicine, New Haven, CT, 06536, USA.
Maria José SaavedraDepartment of Veterinary Sciences, CITAB, University of Trás-os-Montes e Alto Douro, Vila Real, 5000-801, Portugal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Delftia acidovorans, a Gram-negative bacterium commonly found in diverse environments, can occasionally cause infections in immunocompromised individuals. Despite its environmental prevalence and clinical relevance, there is a notable lack of studies on the cellular ultrastructure of D. acidovorans. Characterizing this aspect is essential for understanding the bacterium aggregation behavior, which significantly influences biofilm formation, environmental adaptability, and potential pathogenicity in clinical contexts. This study employs cryo-electron tomography to investigate the cellular ultrastructure of Delftia acidovorans. Our observations of D. acidovorans revealed a supercoiling pattern in flagellar filaments and diverse outer membrane projections. Our major finding was the observation of cytoplasmic membrane invaginations resembling mesosomes seen in Gram-positive bacteria, offering new insights into the cellular architecture and potential functions of these structures in Gram-negative bacteria. Together, these ultrastructural insights reveal adaptations potentially linked to environmental persistence and interspecies aggregation.

Indexed as

Delftia acidovoransCell MembraneCryoelectron MicroscopyElectron Microscope TomographyFlagellaCryo-electron tomographyCytoplasmatic invaginationsDelftia acidovoransMembrane projectionsUltrastructure

Identifiers

PMID41582111
PMCPMC12901137

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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.