Evidence map›Paper›PMID 23816539›Full record

ArticleInfection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases2014

Differing lifestyles of Staphylococcus epidermidis as revealed through Bayesian clustering of multilocus sequence types.

Jonathan C Thomas, Liangfen Zhang, D Ashley Robinson

Open access · bronzeAbstract read
In one paragraph

Article in Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
1.9field-weighted citation impact, top 15% of its field
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

24 citing papers in PubMed, 39 citations in OpenAlex.

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  9. High-Resolution Typing ofJournal of clinical microbiology · 2021
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  10. Virulence Factors in Coagulase-Negative Staphylococci.Pathogens (Basel, Switzerland) · 2021
    Review
  11. Plasmid-Chromosome Crosstalk inFrontiers in cellular and infection microbiology · 2021
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  19. Observational
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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

3 authors at 2 institutions in 1 country.

Jonathan C ThomasDepartment of Microbiology, University of Mississippi Medical Center, Jackson, MS, USA.
Liangfen ZhangDepartment of Microbiology, University of Mississippi Medical Center, Jackson, MS, USA.
D Ashley RobinsonDepartment of Microbiology, University of Mississippi Medical Center, Jackson, MS, USA. Electronic address: darobinson@umc.edu.
Jackson Memorial Hospital · USUniversity of Mississippi Medical Center · US

Funding

Population Genomics of StaphylococciR01GM080602 · NIGMS · UNIVERSITY OF MISSISSIPPI MED CTR · PI ROBINSON, DAVID ASHLEY · 2007 to 2016
$1.8M
NIGMS NIH HHS GM080602NIGMS NIH HHS R01 GM080602
6 · The paper itself

Abstract

Staphylococcus epidermidis is part of the normal bacterial flora of human skin and a leading cause of infections associated with indwelling medical devices. Previous phylogenetic analyses of subgenomic data have been unable to distinguish between S. epidermidis strains with nosocomial or commensal lifestyles, despite the identification of specific phenotypes and accessory genes that may contribute to such lifestyles. To attempt to better define the population structure of this species, the international S. epidermidis multilocus sequence typing database was analyzed with the Bayesian clustering programs STRUCTURE and BAPS. A total of six genetic clusters (GCs) were identified. A local population of S. epidermidis from clinical specimens was classified according to these six GCs, and further characterized for antibiotic susceptibilities, biofilm, and various genetic markers. GC5 was abundant and significantly enriched for isolates that were resistant to four classes of antibiotics, high biofilm production, and positive for the virulence markers icaA, IS256, and sesD/bhp, indicating its potential clinical relevance. In contrast, GC2 was rare and contained the only isolates positive for the putative commensal marker, fdh. GC1 and GC6 were abundant but not significantly associated with any of the examined characteristics, except for sesF/aap and GC6. GC3 was rare and identified as a potential genetic sink that received, but did not donate, core genetic material from other GCs. In conclusion, population genetics analyses were essential for identifying clusters of strains that may differ in their adaptation to nosocomial or commensal lifestyles. These results provide a new, population genetics framework for studying S. epidermidis.

Indexed as

Anti-Bacterial AgentsBayes TheoremCluster AnalysisDNA, BacterialHumansMultilocus Sequence TypingPhylogenyPolymorphism, Single NucleotideStaphylococcal InfectionsStaphylococcus epidermidisAnti-Bacterial AgentsDNA, BacterialBayesian clusteringMultilocus sequence typingPopulation assignmentPopulation structureStaphylococcus epidermidis

Identifiers

PMID23816539
PMCPMC3883881
OpenAlexW1963722781

What OpenQuestion holds

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Registered trials

None linked

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.