Table · study · 2026
Quantitative RNA pseudouridine landscape reveals dynamic modification patterns and evolutionary conservation across bacterial species
Listed in NCBI GEO
Pseudouridine (Ψ) modifications play crucial roles in RNA regulation, yet their distribution and functional significance in bacteria remain largely unexplored compared to eukaryotic systems.
Description
Here, we present the first comprehensive transcriptome-wide mapping of Ψ modifications across five diverse bacterial species (Klebsiella pneumoniae, Escherichia coli, Bacillus cereus, Pseudomonas aeruginosa, Pseudomonas syringae) using bisulfte-induced deletion sequencing at single-base resolution. Ψ modifications exhibit enriched distribution in coding sequences and notable conservation across orthologous genes involved in central metabolism.
Comparative analysis revealed evolutionarily conserved modification patterns in operons, such as the atp operon, and growth phase-dependent dynamics, particularly elevated modification levels in transfer RNA T-arms and transfer-messenger RNAs under stress conditions. We uncovered that Ψ modifications modulate mRNA translation in Pseudomonas syringae under nutrition-limited condition and enhance interactions with the RNA chaperone Hfq in Pseudomonas aeruginosa under stationary growth phase.
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We found local RNA architecture significantly influences modification levels, with highly modified sites sharing distinct structural features reminiscent of different type of RNA. To facilitate broader studies, we developed an integrated deep learning framework combining convolutional neural networks with transformer architecture to effectively capture both sequence patterns and RNA secondary structural features, enabling accurate prediction of Ψ modification sites across bacterial transcriptomes.
Overall, our study provides fundamental insights into bacterial RNA Ψ modification landscapes and establishes a foundation for future mechanistic studies.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE292nnn/GSE292335 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE292335 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1238180 ncbi.nlm.nih.gov/bioproject/PRJNA1238180 ↗
project · from NCBI GEO
- PubMed 42241317 pubmed.ncbi.nlm.nih.gov/42241317 ↗
publication · from NCBI GEO
Topics
- Stated by source
- Other
- From keywords
- Life Sciences
- Inferred from text
- Evolutionary biology 69% · Sequencing 75%
Provenance · 1 source records, 8 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE292335 | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[field].anzsrc:group:3104 | enrichment · NCBI GEO | taxonomy-embedding@1.1.0 | title+keywords+description (69%) |
| concepts[field].local:field:life-sciences | mapping · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[method].geo_series_type:other | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /gdstype |
| concepts[modality].local:modality:sequencing | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| description | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /summary |
| publication_date | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| title | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /title |