Evidence map›Paper›PMID 35478284›Full record

ArticleMicrobiologyOpen2022

Genetically distant bacteriophages select for unique genomic changes in Enterococcus faecalis.

Cydney N Johnson, Dennise Palacios Araya, Viviane Schink, Moutusee Islam, Mihnea R Mangalea, Emily K Decurtis, Tuong-Vi C Ngo, Kelli L Palmer, Breck A Duerkop

Open access · goldAbstract read
In one paragraph

Article in MicrobiologyOpen, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-weighted citation impact, top 25% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Genomic analysis of3 Biotech · 2025
    Article
  2. Review
  3. 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

9 authors at 2 institutions in 1 country.

Cydney N JohnsonDepartment of Immunology and Microbiology, University of Colorado School of Medicine, Aurora, Colorado, USA.
Dennise Palacios ArayaDepartment of Biological Sciences, University of Texas at Dallas, Richardson, Texas, USA.
Viviane SchinkDepartment of Immunology and Microbiology, University of Colorado School of Medicine, Aurora, Colorado, USA.
Moutusee IslamDepartment of Biological Sciences, University of Texas at Dallas, Richardson, Texas, USA.
Mihnea R MangaleaDepartment of Immunology and Microbiology, University of Colorado School of Medicine, Aurora, Colorado, USA.
Emily K DecurtisDepartment of Biological Sciences, University of Texas at Dallas, Richardson, Texas, USA.
Tuong-Vi C NgoDepartment of Biological Sciences, University of Texas at Dallas, Richardson, Texas, USA.
Kelli L PalmerDepartment of Biological Sciences, University of Texas at Dallas, Richardson, Texas, USA.
Breck A DuerkopDepartment of Immunology and Microbiology, University of Colorado School of Medicine, Aurora, Colorado, USA.ORCID 0000-0003-4030-9822
The University of Texas at Dallas · USUniversity of Colorado Denver · US

Funding

Research Training in Rheumatology INCLUDE Down Syndrome SupplementT32AR007534 · NIAMS · UNIVERSITY OF COLORADO DENVER · PI Kristine A. Kuhn · 1986 to 2026
$6.1M
Mechanistic basis of bacteriophages for the decolonization of vancomycin resistant enterococci in the intestine.R01AI141479 · NIAID · UNIVERSITY OF COLORADO DENVER · PI DUERKOP, BRECK A · 2018 to 2025
$4.4M
Molecular Pathogenesis of Infectious DiseasesT32AI052066 · NIAID · UNIVERSITY OF COLORADO DENVER · PI VAN DYK, LINDA F. · 2002 to 2022
$2.3M
Genome defense and acquired antibiotic resistance in Enterococcus faecalis and Enterococcus faeciumR01AI116610 · NIAID · UNIVERSITY OF TEXAS DALLAS · PI PALMER, KELLI LEA · 2015 to 2019
$1.9M
Molecular mechanisms of lytic bacteriophage infection of enterococciF31AI157050 · NIAID · UNIVERSITY OF COLORADO DENVER · PI JOHNSON, CYDNEY N · 2021 to 2022
$42k
NIAID NIH HHS F31 AI157050NIAID NIH HHS R01 AI116610NIAID NIH HHS R01 AI141479NIAID NIH HHS T32 AI052066NIAMS NIH HHS T32 AR007534
6 · The paper itself

Abstract

The human microbiota harbors diverse bacterial and bacteriophage (phage) communities. Bacteria evolve to overcome phage infection, thereby driving phage evolution to counter bacterial resistance. Understanding how phages select for genetic alterations in medically relevant bacteria is important as phages become established biologics for the treatment of multidrug-resistant (MDR) bacterial infections. Before phages can be widely used as standalone or combination antibacterial therapies, we must obtain a deep understanding of the molecular mechanisms of phage infection and how host bacteria alter their genomes to become resistant. We performed coevolution experiments using a single Enterococcus faecalis strain and two distantly related phages to determine how phage pressure impacts the evolution of the E. faecalis genome. Whole-genome sequencing of E. faecalis following continuous exposure to these two phages revealed mutations previously demonstrated to be essential for phage infection. We also identified mutations in genes previously unreported to be associated with phage infection in E. faecalis. Intriguingly, there was only one shared mutation in the E. faecalis genome that was selected by both phages tested, demonstrating that infection by two genetically distinct phages selects for diverse variants. This knowledge serves as the basis for the continued study of E. faecalis genome evolution during phage infection and can be used to inform the design of future therapeutics, such as phage cocktails, intended to target MDR E. faecalis.

Indexed as

BacteriophagesEnterococcus faecalisAnti-Bacterial AgentsGenome, ViralGenomicsHumansAnti-Bacterial Agentsbacteriophagescoevolutioncomparative genomicsEnterococcus faecalis

Identifiers

PMID35478284
PMCPMC8924694
OpenAlexW4220864408

What OpenQuestion holds

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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.