Evidence map›Paper›PMID 42295444›Full record

ReviewArchives of microbiology2026

From nature to clinic: tracking genetic and environmental drivers of Stenotrophomonas maltophilia pathogenicity.

Trishita Bose, Rajesh P Shastry

Abstract readReview
PubMed Publisher
In one paragraph

Review in Archives of 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

2 authors.

Trishita BoseDivision of Microbiology and Biotechnology, Yenepoya Research Centre, Yenepoya (Deemed to be University), Deralakatte, Mangalore, 575018, India.
Rajesh P ShastryDivision of Microbiology and Biotechnology, Yenepoya Research Centre, Yenepoya (Deemed to be University), Deralakatte, Mangalore, 575018, India. rpshastry@yenepoya.edu.in.ORCID http://orcid.org/0000-0001-8627-9759

Funding

Indian Council of Medical Research, New Delhi DevRes/SG/ID-1515/2024-25 (E-Office- 222700)
6 · The paper itself

Abstract

Stenotrophomonas maltophilia, a Gram negative organism, is an emerging infectious agent associated with various nosocomial and life-threatening diseases. Widely distributed across different ecological niches, including soil, water, plant rhizospheres, and hospital settings, it exhibits notable ecological plasticity. S. maltophilia has been traditionally recognized as beneficial for plant growth, bioremediation, and biocontrol. S. maltophilia has increasingly been implicated in life-threatening infections. This shift is driven by factors such as genomic flexibility, a versatile metabolic architecture, and regulatory mechanisms that enhance survival under fluctuating environmental conditions. Despite its dual roles, clear distinctions between environmental, non-clinical, and clinical isolates remain unclear. Recent omics-based approaches, including comparative genomics and transcriptomics, are seeking to understand the hidden molecular mechanisms underlying ecological transitions. This review provides an overview of evolutionary adaptation in S. maltophilia, followed by the factors that enable their persistence across diverse niche transitions and the crucial genetic determinants that drive faster evolution/adaptation.

Indexed as

Gram-Negative Bacterial InfectionsStenotrophomonas maltophiliaAdaptation, PhysiologicalEnvironmental MicrobiologyEvolution, MolecularHumansCodon usageEcological plasticityMobile genetic elementsNosocomial InfectionsOmics based approachesStenotrophomonas maltophilia

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.