Evidence map›Paper›PMID 31540992›Full record

ArticleApplied and environmental microbiology2019

Escherichia coli Clonobiome: Assessing the Strain Diversity in Feces and Urine by Deep Amplicon Sequencing.

Sofiya G Shevchenko, Matthew Radey, Veronika Tchesnokova, Dagmara Kisiela, Evgeni V Sokurenko

Abstract read
In one paragraph

Article in Applied and environmental microbiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Evidence ofMicrobial genomics · 2024
    Article
  3. Gut residentmedRxiv : the preprint server for health sciences · 2024
    Article
  4. Article
  5. Gut-bladder axis in recurrent UTI.Nature microbiology · 2022
    Article
  6. Article
  7. Review
  8. Article
  9. TheGut microbes
    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

5 authors.

Sofiya G ShevchenkoDepartment of Microbiology, University of Washington, Seattle, Washington, USA.ORCID 0000-0001-6756-1097
Matthew RadeyDepartment of Microbiology, University of Washington, Seattle, Washington, USA.
Veronika TchesnokovaDepartment of Microbiology, University of Washington, Seattle, Washington, USA.
Dagmara KisielaDepartment of Microbiology, University of Washington, Seattle, Washington, USA.
Evgeni V SokurenkoDepartment of Microbiology, University of Washington, Seattle, Washington, USA evs@u.washington.edu.

Funding

TRAINING IN MOLECULAR AND CELLULAR BIOLOGYT32GM007270 · NIGMS · UNIVERSITY OF WASHINGTON · PI RAIBLE, DAVID W · 1985 to 2020
$21.0M
Molecular Clonality of Uropathogenic E. ColiR01AI106007 · NIAID · UNIVERSITY OF WASHINGTON · PI SOKURENKO, EVGENI VENIAMINOVIC · 2014 to 2024
$7.5M
Clonotyping Technology for Prediction of Antibiotic ResistanceR42AI116114 · NIAID · IDGENOMICS, INC. · PI SOKURENKO, EVGENI VENIAMINOVIC, ZUCKERMAN, LINDA · 2016 to 2018
$3.0M
NIAID NIH HHS R01 AI106007NIAID NIH HHS R42 AI116114NIGMS NIH HHS T32 GM007270
6 · The paper itself

Abstract

While microbiome studies have focused on diversity at the species level or higher, bacterial species in microbiomes are represented by different, often multiple, strains. These strains could be clonally and phenotypically very different, making assessment of strain content vital to a full understanding of microbiome function. This is especially important with respect to antibiotic-resistant strains, the clonal spread of which may be dependent on competition between them and susceptible strains from the same species. The pandemic, multidrug-resistant, and highly pathogenic

Indexed as

AgedAged, 80 and overAnti-Bacterial AgentsDrug Resistance, BacterialEscherichia coliEscherichia coli InfectionsFecesFemaleHigh-Throughput Nucleotide SequencingHumansMiddle AgedUrineAnti-Bacterial Agentsantibiotic resistancebladder colonizationEscherichia coligut microbiomeST131

Identifiers

PMID31540992
PMCPMC6856317

What OpenQuestion holds

Textmetadata
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.