Evidence map›Paper›PMID 25116839›Full record

ArticleInternational journal of medical microbiology : IJMM2014

Whole genome sequencing indicates Corynebacterium jeikeium comprises 4 separate genomospecies and identifies a dominant genomospecies among clinical isolates.

Stephen J Salipante, Dhruba J Sengupta, Lisa A Cummings, Aaron Robinson, Kyoko Kurosawa, Daniel R Hoogestraat, Brad T Cookson

Abstract read
In one paragraph

Article in International journal of medical microbiology : IJMM, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Antibiotic resistance profiles of seven genomospecies ofJournal of clinical microbiology · 2025
    Article
  4. Genomic epidemiology and antimicrobial resistance ofJournal of clinical microbiology · 2025
    Article
  5. Article
  6. Review
  7. Review
  8. Understanding the Promises and Hurdles of Metagenomic Next-Generation Sequencing as a Diagnostic Tool for Infectious Diseases.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2018
    Review
  9. Article
  10. IDCases · 2018
    Article
  11. 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.

Stephen J SalipanteDepartment of Laboratory Medicine, University of Washington, Seattle, WA 98195, USA. Electronic address: stevesal@uw.edu.
Dhruba J SenguptaDepartment of Laboratory Medicine, University of Washington, Seattle, WA 98195, USA.
Lisa A CummingsDepartment of Laboratory Medicine, University of Washington, Seattle, WA 98195, USA.
Aaron RobinsonDepartment of Laboratory Medicine, University of Washington, Seattle, WA 98195, USA.
Kyoko KurosawaDepartment of Laboratory Medicine, University of Washington, Seattle, WA 98195, USA.
Daniel R HoogestraatDepartment of Laboratory Medicine, University of Washington, Seattle, WA 98195, USA.
Brad T CooksonDepartment of Laboratory Medicine, University of Washington, Seattle, WA 98195, USA; Department of Microbiology, University of Washington, Seattle, WA 98195, USA.

Funding

Institute of Translational Health SciencesUL1TR000423 · NCATS · UNIVERSITY OF WASHINGTON · PI DISIS, MARY L. · 2012 to 2016
$49.4M
NCATS NIH HHS UL1 TR000423NCATS NIH HHS UL1TR000423
6 · The paper itself

Abstract

Corynebacterium jeikeium is an opportunistic pathogen which has been noted for significant genomic diversity. The population structure within this species remains poorly understood. Here, we explore the relationships among 15 clinical isolates of C. jeikeium (reference strains K411 and ATCC 43734, and 13 primary isolates collected over a period of 7 years) through genetic, genomic, and phenotypic studies. We report a high degree of divergence among strains based on 16S ribosomal RNA (rRNA) gene and rpoB gene sequence analysis, supporting the presence of genetically distinct subgroups. Whole genome sequencing indicates genomic-level dissimilarity among subgroups, which qualify as four separate and distinct Corynebacterium species based on an average nucleotide identity (ANIb) threshold of <95%. Functional distinctions in antibiotic susceptibilities and metabolic profiles characterize two of these genomospecies, allowing their differentiation from others through routine laboratory testing. The remaining genomospecies can be classified through a biphasic approach integrating phenotypic testing and rpoB gene sequencing. The genomospecies predominantly recovered from patient specimens does not include either of the existing C. jeikeium reference strains, implying that studies of this pathogen would benefit from examination of representatives from the primary disease-causing group. The clinically dominant genomospecies also has the smallest genome size and gene repertoire, suggesting the possibility of increased virulence relative to the other genomospecies. The ability to classify isolates to one of the four C. jeikeium genomospecies in a clinical context provides diagnostic information for tailoring antimicrobial therapy and may aid in identification of species-specific disease associations.

Indexed as

Genome, BacterialCluster AnalysisCorynebacteriumCorynebacterium InfectionsDNA, BacterialDNA-Directed RNA PolymerasesDNA, RibosomalGenotypeHumansMolecular Sequence DataPhenotypePhylogenyRNA, Ribosomal, 16SSequence Analysis, DNADNA, BacterialDNA-Directed RNA PolymerasesDNA, RibosomalRNA polymerase beta subunitRNA, Ribosomal, 16SClassificationClinical testingCorynebacterium jeikeiumGenomicsPhylogenySpeciation

Identifiers

PMID25116839
PMCPMC4252571

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Registered trials

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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.