ArticlemBio2019
Pseudomonas aeruginosa Interstrain Dynamics and Selection of Hyperbiofilm Mutants during a Chronic Infection.
Article in mBio, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 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
40 citing papers in PubMed, 66 citations in OpenAlex.
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- Network-level divergence in cyclic di-GMP signalling drives ecological versatility in Acinetobacter baumannii.NPJ biofilms and microbiomes · 2026Article
- A Novel Method to Monitor the Evolution of Antimicrobial Resistance inInternational journal of molecular sciences · 2026Article
- Identification of Three New Rugose Small Colony Variants from aMicroorganisms · 2025Article
- Role of R5 pyocin in the predominance of high-risk Pseudomonas aeruginosa isolates.Microbiological research · 2025Article
- Article
- Cyclic-di-GMP signalling mutants drive ecological succession and self-generated diversity in experimentally evolved biofilms ofMicrobiology (Reading, England) · 2025Article
- Student-led experimental evolution reveals novel biofilm regulators of adaptation to multiple niches.bioRxiv : the preprint server for biology · 2025Article
- Hypermutability bypasses genetic constraints in SCV phenotypic switching in Pseudomonas aeruginosa biofilms.NPJ biofilms and microbiomes · 2025Article
- The impact of antioxidant-ciprofloxacin combinations on the evolution of antibiotic resistance in Pseudomonas aeruginosa biofilms.NPJ biofilms and microbiomes · 2024Article
- Mutation ofMicrobiology spectrum · 2024Article
- The wound microbiota: microbial mechanisms of impaired wound healing and infection.Nature reviews. Microbiology · 2024Review
- The Prevalence of Antibiotic Resistance Phenotypes and Genotypes in Multidrug-Resistant Bacterial Isolates from the Academic Hospital of Jaén, Spain.Antibiotics (Basel, Switzerland) · 2024Article
- The non-attached biofilm aggregate.Communications biology · 2023Review
- Controlled Experimental Infection in Pigs with a Strain of Yersinia enterocolitica Harboring Genetic Markers for Human Pathogenicity: Colonization and Stability.Infection and immunity · 2023Article
- Evolution of cyclic di-GMP signalling on a short and long term time scale.Microbiology (Reading, England) · 2023Article
- Article
- Optimization of Host Cell-Compatible, Antimicrobial Peptides Effective against Biofilms and Clinical Isolates of Drug-Resistant Bacteria.ACS infectious diseases · 2023Article
- The role of individual exopolysaccharides in antibiotic tolerance ofFrontiers in microbiology · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 3 institutions in 1 country.
Funding
Abstract
Opportunistic pathogens establishing new infections experience strong selection to adapt, often favoring mutants that persist. Capturing this initial dynamic is critical for identifying the first adaptations that drive pathogenesis. Here we used a porcine full-thickness burn wound model of chronic infection to study the evolutionary dynamics of diverse
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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.