ArticleScientific reports2024
An innovative approach to decoding genetic variability in Pseudomonas aeruginosa via amino acid repeats and gene structure profiles.
Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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.
Who cites it
3 citing papers in PubMed.
- Modular integration of nanopore sequencing, alphafold modeling, and statistical design boosts 1-hydroxyphenazine yield in Pseudomonas aeruginosa strain KAEH25.BMC microbiology · 2026Article
- Phenotypic and Whole-Genome Sequencing-Based Profiling of Antimicrobial Resistance and Virulence inGenes · 2026Article
- Multi-omics driven biomarker discovery and pathological insights into Pseudomonas aeruginosa pneumonia.BMC infectious diseases · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Pseudomonas aeruginosa, a common pathogen in nosocomial infections, presents significant global health challenges due to its high prevalence and mortality rates. However, the origins and distribution of this bacterium remain unclear, partly due to the lack of effective gene typing methods. This situation necessitates the establishment of trustworthy and high-resolution protocol for differentiating closely related P. aeruginosa strains. In this context, the present study attempted to undertake a comparative genomic analysis of multiple P. aeruginosa strains available in the public database NCBI, with the goal of identifying potential genetic markers for measuring the genetic diversity. The preliminary comparative analysis of 816 P. aeruginosa strains revealed notable variations in two genes-specifically, the CDF family iron/cobalt efflux transporter AitP and the protease modulator HflC-across 44 strains. These variations were associated with single amino acid repeats (SHRs) that responsible for encoding histidine residue. Additionally, comparative gene map analysis revealed differential clustering patterns in the Rsx and TAXI genes among 16 strains. Interestingly, the gene structure pattern observed in TAXI groups displayed a strong correlation with the SHRs pattern in the CDF and HflC groups. In addition, the SHRs pattern of CDF and HflC were strongly correlated with MLST sequence type number. Overall, the study present a novel genetic markers based on SHRs and gene cluster patterns, offering a reliable method for genotyping of P. aeruginosa.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.