Evidence map›Paper›PMID 33500552›Full record

ArticleCommunications biology2021

Mash-based analyses of Escherichia coli genomes reveal 14 distinct phylogroups.

Kaleb Abram, Zulema Udaondo, Carissa Bleker, Visanu Wanchai, Trudy M Wassenaar, Michael S Robeson, David W Ussery

Abstract read
In one paragraph

Article in Communications biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers.

0numbers the graph read from it
0cells of the map it votes in
75citing 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

75 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Comparative genomic analysis ofMicrobiology spectrum · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Comparative Genomics ofPathogens (Basel, Switzerland) · 2026
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Structure of theMicrobiology spectrum · 2026
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Phylogroup Homeostasis ofMicroorganisms · 2025
    Article

15 more citing papers are in PubMed but not listed here.

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.

Kaleb Abram *Department of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, Arkansas, 72205, USA.ORCID http://orcid.org/0000-0002-3311-662X
Zulema Udaondo *Department of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, Arkansas, 72205, USA.ORCID http://orcid.org/0000-0003-3445-6842
Carissa BlekerThe Bredesen Center for Interdisciplinary Research and Graduate Education, University of Tennessee, Knoxville, Tennessee, 37996, USA.ORCID http://orcid.org/0000-0003-1617-7145
Visanu WanchaiDepartment of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, Arkansas, 72205, USA.ORCID http://orcid.org/0000-0003-2243-3838
Trudy M WassenaarMolecular Microbiology and Genomics Consultants, 55576, Zotzenheim, Germany.ORCID http://orcid.org/0000-0002-7024-1139
Michael S RobesonDepartment of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, Arkansas, 72205, USA.ORCID http://orcid.org/0000-0001-7119-6301
David W UsseryDepartment of Biomedical Informatics, University of Arkansas for Medical Sciences, Little Rock, Arkansas, 72205, USA. DWUssery@uams.edu.ORCID http://orcid.org/0000-0003-3632-5512

Funding

Understanding Hesitant AdoptersP20GM103429 · NIGMS · UNIV OF ARKANSAS FOR MED SCIS · PI Lawrence E Cornett, JERRY WARE · 2012 to 2026
$60.9M
Translational Regulation in Normal Erythropoiesis and Diamond Blackfan AnemiaP20GM121293 · NIGMS · ARKANSAS CHILDREN'S HOSPITAL RES INST · PI Alan Tackett, Sean D. Taverna · 2017 to 2026
$27.6M
Expanding Translational Research in ArkansasUL1TR003107 · NCATS · UNIV OF ARKANSAS FOR MED SCIS · PI JAMES, LAURA P · 2019 to 2023
$21.6M
NCATS NIH HHS UL1 TR003107NIGMS NIH HHS P20 GM103429NIGMS NIH HHS P20 GM121293
6 · The paper itself

Abstract

In this study, more than one hundred thousand Escherichia coli and Shigella genomes were examined and classified. This is, to our knowledge, the largest E. coli genome dataset analyzed to date. A Mash-based analysis of a cleaned set of 10,667 E. coli genomes from GenBank revealed 14 distinct phylogroups. A representative genome or medoid identified for each phylogroup was used as a proxy to classify 95,525 unassembled genomes from the Sequence Read Archive (SRA). We find that most of the sequenced E. coli genomes belong to four phylogroups (A, C, B1 and E2(O157)). Authenticity of the 14 phylogroups is supported by several different lines of evidence: phylogroup-specific core genes, a phylogenetic tree constructed with 2613 single copy core genes, and differences in the rates of gene gain/loss/duplication. The methodology used in this work is able to reproduce known phylogroups, as well as to identify previously uncharacterized phylogroups in E. coli species.

Indexed as

Genome, BacterialComputational BiologyEscherichia coliEscherichia coli ProteinsGenetic SpeciationGenomicsPhylogenySequence Analysis, DNAShigellaEscherichia coli Proteins

Identifiers

PMID33500552
PMCPMC7838162

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.