ArticlemBio2015
Selective Sweeps and Parallel Pathoadaptation Drive Pseudomonas aeruginosa Evolution in the Cystic Fibrosis Lung.
Article in mBio, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 88 papers.
What it found
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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.
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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.
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Who cites it
88 citing papers in PubMed, 141 citations in OpenAlex.
- Article
- Altered regulation of septal peptidoglycan synthesis modulates β-lactam susceptibility in Pseudomonas aeruginosa.PLoS genetics · 2026Article
- Simulating the host niche: balancing complexity and control in the experimental evolution of antibiotic resistance and pathoadaptation.Microbiology (Reading, England) · 2026Review
- Within-patient gene transfer between transiently and chronically infecting bacteria causes extreme antibiotic resistance during lung infections.Nature microbiology · 2026Article
- Case Commentary: When one target is not enough-PBP3 insertions and target redundancy inAntimicrobial agents and chemotherapy · 2026Article
- Cryptic phenotypic variation emerges rapidly during the adaptive evolution of a carbapenemase.Nature ecology & evolution · 2026Article
- Genetic Manipulation Tools in Leishmania: From CRISPR/Cas9 to Vaccine Strategies for Disease Control.Acta parasitologica · 2025Review
- Spread of a Single Superclone Drives Insecticide Resistance in Acyrthosiphon kondoi Across an Invasive Range.Molecular biology and evolution · 2025Article
- TyCHE enables time-resolved lineage tracing of heterogeneously-evolving populations.bioRxiv : the preprint server for biology · 2025Article
- CombattingAntibiotics (Basel, Switzerland) · 2025Review
- Monitoring of Pseudomonas aeruginosa mutational resistome dynamics using an enrichment panel for direct sequencing of clinical samples.EBioMedicine · 2024Article
- Ecological and evolutionary mechanisms driving within-patient emergence of antimicrobial resistance.Nature reviews. Microbiology · 2024Review
- Practical Guidance for Clinical Microbiology Laboratories: Updated guidance for processing respiratory tract samples from people with cystic fibrosis.Clinical microbiology reviews · 2024Review
- Penicillin-binding protein 3 sequence variations reduce susceptibility of Pseudomonas aeruginosa to β-lactams but inhibit cell division.The Journal of antimicrobial chemotherapy · 2024Article
- Article
- The role of hypermutation and collateral sensitivity in antimicrobial resistance diversity ofmBio · 2024Article
- Biofilm antimicrobial susceptibility testing: where are we and where could we be going?Clinical microbiology reviews · 2023Review
- Spread ofAntibiotics (Basel, Switzerland) · 2023Article
- Age of Antibiotic Resistance in MDR/XDR Clinical Pathogen ofPharmaceuticals (Basel, Switzerland) · 2023Review
- Article
28 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 4 institutions in 1 country.
Funding
Abstract
unlabelledPulmonary infections caused by Pseudomonas aeruginosa are a recalcitrant problem in cystic fibrosis (CF) patients. While the clinical implications and long-term evolutionary patterns of these infections are well studied, we know little about the short-term population dynamics that enable this pathogen to persist despite aggressive antimicrobial therapy. Here, we describe a short-term population genomic analysis of 233 P. aeruginosa isolates collected from 12 sputum specimens obtained over a 1-year period from a single patient. Whole-genome sequencing and antimicrobial susceptibility profiling identified the expansion of two clonal lineages. The first lineage originated from the coalescence of the entire sample less than 3 years before the end of the study and gave rise to a high-diversity ancestral population. The second expansion occurred 2 years later and gave rise to a derived population with a strong signal of positive selection. These events show characteristics consistent with recurrent selective sweeps. While we cannot identify the specific mutations responsible for the origins of the clonal lineages, we find that the majority of mutations occur in loci previously associated with virulence and resistance. Additionally, approximately one-third of all mutations occur in loci that are mutated multiple times, highlighting the importance of parallel pathoadaptation. One such locus is the gene encoding penicillin-binding protein 3, which received three independent mutations. Our functional analysis of these alleles shows that they provide differential fitness benefits dependent on the antibiotic under selection. These data reveal that bacterial populations can undergo extensive and dramatic changes that are not revealed by lower-resolution analyses. IMPORTANCE: Pseudomonas aeruginosa is a bacterial opportunistic pathogen responsible for significant morbidity and mortality in cystic fibrosis (CF) patients. Once it has colonized the lung in CF, it is highly resilient and rarely eradicated. This study presents a deep sampling examination of the fine-scale evolutionary dynamics of P. aeruginosa in the lungs of a chronically infected CF patient. We show that diversity of P. aeruginosa is driven by recurrent clonal emergence and expansion within this patient and identify potential adaptive variants associated with these events. This high-resolution sequencing strategy thus reveals important intraspecies dynamics that explain a clinically important phenomenon not evident at a lower-resolution analysis of community structure.
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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.