Evidence map›Paper›PMID 42883987›Full record

ArticleInternational journal of molecular sciences2026

Comparative Genomic, Metabolic and Transcriptomic Profiling of Bacterial Isolates Reveals Strain-Specific Adaptation and Safety Traits.

Daria Barańska, Jacek Panek, Giorgia Pertile, Agata Gryta, Sylwia Różalska, Magdalena Frąc

Abstract read
In one paragraph

Article in International journal of molecular sciences, 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.

Daria BarańskaInstitute of Agrophysics, Polish Academy of Sciences, 20-290 Lublin, Poland.ORCID 0009-0006-3063-8648
Jacek PanekInstitute of Agrophysics, Polish Academy of Sciences, 20-290 Lublin, Poland.ORCID 0000-0002-9217-5902
Giorgia PertileInstitute of Agrophysics, Polish Academy of Sciences, 20-290 Lublin, Poland.ORCID 0000-0003-1636-3765
Agata GrytaInstitute of Agrophysics, Polish Academy of Sciences, 20-290 Lublin, Poland.
Sylwia RóżalskaDepartment of Industrial Microbiology and Biotechnology, Faculty of Biology and Environmental Protection, University of Lodz, 90-237 Lodz, Poland.ORCID 0000-0003-1695-5154
Magdalena FrącInstitute of Agrophysics, Polish Academy of Sciences, 20-290 Lublin, Poland.ORCID 0000-0001-9437-3139

Funding

National Science Centre 2022/45/B/NZ9/04254
6 · The paper itself

Abstract

Food-associated microorganisms represent a diverse reservoir of bacterial strains with functional traits potentially relevant to host-microbiome interactions, stress resilience, metabolic processes, and microbial competition. In this study, we performed a multi-omics characterization of food-origin bacterial isolates to identify a potential candidate strain for further studies on microbiome-microgreens interactions. Over one hundred bacterial isolates were initially recovered from various food products and subjected to molecular screening, followed by whole-genome sequencing, metabolic profiling, transcriptomic characterization and morphological analysis of selected strains. Comparative characterization revealed significant differences among the strains. Among the tested isolates, strain B107/23, identified as

Indexed as

Adaptation, PhysiologicalBacillus megateriumBacteriaGenome, BacterialGenomicsMetabolomeTranscriptomeFood MicrobiologyGene Expression ProfilingGene Expression Regulation, BacterialMultiomicsPhenotypeStress, Physiologicalabiotic stress tolerancefood-associated microorganismsgenomic and phenotypic traitsmicrogreensplant growth-promoting bacteria

Identifiers

PMID42883987
PMCPMC13665145

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.