Evidence map›Paper›PMID 32196089›Full record

ArticleGenome biology and evolution2020

Single-Nucleotide Polymorphism-Based Genetic Diversity Analysis of Clinical Pseudomonas aeruginosa Isolates.

Uthayakumar Muthukumarasamy, Matthias Preusse, Adrian Kordes, Michal Koska, Monika Schniederjans, Ariane Khaledi, Susanne Häussler

Abstract read
In one paragraph

Article in Genome biology and evolution, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Comparative Genomics ofAntibiotics (Basel, Switzerland) · 2023
    Article
  5. Article
  6. Article
  7. Transcriptional Profiling of Pseudomonas aeruginosa Infections.Advances in experimental medicine and biology · 2022
    Review
  8. Article
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

7 authors.

Uthayakumar MuthukumarasamyDepartment of Molecular Bacteriology, Helmholtz Centre for Infection Research, Braunschweig, Germany.
Matthias PreusseDepartment of Molecular Bacteriology, Helmholtz Centre for Infection Research, Braunschweig, Germany.
Adrian KordesDepartment of Molecular Bacteriology, Helmholtz Centre for Infection Research, Braunschweig, Germany.
Michal KoskaDepartment of Molecular Bacteriology, Helmholtz Centre for Infection Research, Braunschweig, Germany.
Monika SchniederjansDepartment of Molecular Bacteriology, Helmholtz Centre for Infection Research, Braunschweig, Germany.
Ariane KhalediDepartment of Molecular Bacteriology, Helmholtz Centre for Infection Research, Braunschweig, Germany.
Susanne HäusslerDepartment of Molecular Bacteriology, Helmholtz Centre for Infection Research, Braunschweig, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extensive use of next-generation sequencing has the potential to transform our knowledge on how genomic variation within bacterial species impacts phenotypic versatility. Because different environments have unique selection pressures, they drive divergent evolution. However, there is also parallel or convergent evolution of traits in independent bacterial isolates inhabiting similar environments. The application of tools to describe population-wide genomic diversity provides an opportunity to measure the predictability of genetic changes underlying adaptation. Here, we describe patterns of sequence variations in the core genome among 99 individual Pseudomonas aeruginosa clinical isolates and identified single-nucleotide polymorphisms that are the basis for branching of the phylogenetic tree. We also identified single-nucleotide polymorphisms that were acquired independently, in separate lineages, and not through inheritance from a common ancestor. Although our results demonstrate that the Pseudomonas aeruginosa core genome is highly conserved and in general, not subject to adaptive evolution, instances of parallel evolution will provide an opportunity to uncover genetic changes that underlie phenotypic diversity.

Indexed as

Adaptation, PhysiologicalGenome, BacterialPolymorphism, Single NucleotideHumansPhenotypePhylogenyPseudomonas aeruginosaconvergent and divergent evolutioncore genomepan-genomeSNPs

Identifiers

PMID32196089
PMCPMC7197496

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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.