Evidence map›Paper›PMID 36321824›Full record

ArticlemSphere2022

Comparative Genomics of Streptococcus oralis Identifies Large Scale Homologous Recombination and a Genetic Variant Associated with Infection.

Luke R Joyce, Madison A Youngblom, Harshini Cormaty, Evelyn Gartstein, Katie E Barber, Ronda L Akins, Caitlin S Pepperell, Kelli L Palmer

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in mSphere, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

6 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Insights into the role ofFrontiers in cellular and infection microbiology · 2024
    Review
  6. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 4 institutions in 1 country.

Luke R Joyce *Department of Biological Sciences, The University of Texas at Dallasgrid.267323.1, Richardson, Texas, USA.ORCID 0000-0002-9346-671X
Madison A Youngblom *Microbiology Doctoral Training Program, University of Wisconsin-Madison, Madison, Wisconsin, USA.ORCID 0000-0003-4816-1113
Harshini CormatyDepartment of Biological Sciences, The University of Texas at Dallasgrid.267323.1, Richardson, Texas, USA.
Evelyn GartsteinDepartment of Biological Sciences, The University of Texas at Dallasgrid.267323.1, Richardson, Texas, USA.
Katie E BarberDepartment of Pharmacy Practice, University of Mississippi School of Pharmacy, University of Mississippi, Jackson, Mississippi, USA.
Ronda L AkinsMethodist Charlton Medical Center, Dallas, Texas, USA.
Caitlin S PepperellDepartment of Medical Microbiology and Immunology, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Kelli L PalmerDepartment of Biological Sciences, The University of Texas at Dallasgrid.267323.1, Richardson, Texas, USA.ORCID 0000-0002-7343-9271
The University of Texas at Dallas · USUniversity of Wisconsin–Madison · USMethodist Dallas Medical Center · USUniversity of Mississippi · US

Funding

Genetic basis for virulence in Streptococcus mitis and S. oralisR21AI130666 · NIAID · UNIVERSITY OF TEXAS DALLAS · PI PALMER, KELLI LEA · 2018 to 2019
$440k
HHS | National Institutes of Health (NIH) R21AI130666NIAID NIH HHS R21 AI130666
6 · The paper itself

Abstract

The viridans group streptococci (VGS) are a large consortium of commensal streptococci that colonize the human body. Many species within this group are opportunistic pathogens causing bacteremia and infective endocarditis (IE), yet little is known about why some strains cause invasive disease. Identification of virulence determinants is complicated by the difficulty of distinguishing between the closely related species of this group. Here, we analyzed genomic data from VGS that were isolated from blood cultures in patients with invasive infections and oral swabs of healthy volunteers and then determined the best-performing methods for species identification. Using whole-genome sequence data, we characterized the population structure of a diverse sample of Streptococcus oralis isolates and found evidence of frequent recombination. We used multiple genome-wide association study tools to identify candidate determinants of invasiveness. These tools gave consistent results, leading to the discovery of a single synonymous single nucleotide polymorphism (SNP) that was significantly associated with invasiveness. This SNP was within a previously undescribed gene that was conserved across the majority of VGS species. Using the growth in the presence of human serum and a simulated infective endocarditis vegetation model, we were unable to identify a phenotype for the enriched allele in laboratory assays, suggesting a phenotype may be specific to natural infection. These data highlighted the power of analyzing natural populations for gaining insight into pathogenicity, particularly for organisms with complex population structures like the VGS.

Indexed as

BacteremiaEndocarditisGenome-Wide Association StudyGenomicsHumansStreptococcusStreptococcus oralisViridans StreptococciVirulence FactorsVirulence Factorsbacteremiagenomicsinfective endocarditisStreptococcus

Identifiers

PMID36321824
PMCPMC9769543
OpenAlexW4307923057

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.