Evidence map›Paper›PMID 33627701›Full record

ArticleScientific reports2021

Population structure and genetic diversity of non-O157 Shiga toxin-producing Escherichia coli (STEC) clinical isolates from Michigan.

Heather M Blankenship, Rebekah E Mosci, Stephen Dietrich, Elizabeth Burgess, Jason Wholehan, Karen McWilliams, Karen Pietrzen, Scott Benko, Ted Gatesy, James T Rudrik and 2 more

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Genomic Markers Distinguishing Shiga Toxin-ProducingPathogens (Basel, Switzerland) · 2025
    Article
  6. Article
  7. Comparative genomics of Shiga toxin-producingFrontiers in veterinary science · 2025
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. 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

12 authors.

Heather M BlankenshipDepartment of Microbiology and Molecular Genetics, Michigan State University, 1129 Farm Lane, East Lansing, MI, 48824, USA.
Rebekah E MosciDepartment of Microbiology and Molecular Genetics, Michigan State University, 1129 Farm Lane, East Lansing, MI, 48824, USA.
Stephen DietrichMichigan Department of Health and Human Services, Bureau of Laboratories, Lansing, MI, 48906, USA.
Elizabeth BurgessMichigan Department of Health and Human Services, Bureau of Laboratories, Lansing, MI, 48906, USA.
Jason WholehanMichigan Department of Health and Human Services, Bureau of Laboratories, Lansing, MI, 48906, USA.
Karen McWilliamsMichigan Department of Agriculture and Rural Development, East Lansing, MI, 48823, USA.
Karen PietrzenMichigan Department of Agriculture and Rural Development, East Lansing, MI, 48823, USA.
Scott BenkoMichigan Department of Agriculture and Rural Development, East Lansing, MI, 48823, USA.
Ted GatesyMichigan Department of Agriculture and Rural Development, East Lansing, MI, 48823, USA.
James T RudrikMichigan Department of Health and Human Services, Bureau of Laboratories, Lansing, MI, 48906, USA.
Marty SoehnlenMichigan Department of Health and Human Services, Bureau of Laboratories, Lansing, MI, 48906, USA.
Shannon D ManningDepartment of Microbiology and Molecular Genetics, Michigan State University, 1129 Farm Lane, East Lansing, MI, 48824, USA. mannin71@msu.edu.

Funding

The Impact of Microbiome Composition, Diversity, and Function on Enteric DiseaseU19AI090872 · NIAID · MICHIGAN STATE UNIVERSITY · PI MANSFIELD, LINDA S. · 2010 to 2014
$7.1M
NIAID NIH HHS U19 AI090872NIH HHS U19AI090872
6 · The paper itself

Abstract

Non-O157 STEC are increasingly linked to foodborne infections, yet little is known about the diversity and molecular epidemiology across locations. Herein, we used whole genome sequencing to examine genetic variation in 894 isolates collected from Michigan patients between 2001 and 2018. In all, 67 serotypes representing 69 multilocus sequence types were identified. Serotype diversity increased from an average of four (2001-2006) to 17 (2008-2018) serotypes per year. The top six serogroups reported nationally caused > 60% of infections in 16 of the 18 years; serogroups O111 and O45 were associated with hospitalization as were age ≥ 65 years, diarrhea with blood and female sex. Phylogenetic analyses of seven multilocus sequence typing (MLST) loci identified three clades as well as evidence of parallel evolution and recombination. Most (95.5%) isolates belonged to one clade, which could be further differentiated into seven subclades comprising isolates with varying virulence gene profiles and serotypes. No association was observed between specific clades and the epidemiological data, suggesting that serogroup- and serotype-specific associations are more important predictors of disease outcomes than lineages defined by MLST. Molecular epidemiological studies of non-O157 STEC are important to enhance understanding of circulating strain distributions and traits, genetic variation, and factors that may impact disease risk and severity.

Indexed as

AdolescentAdultAgedAged, 80 and overChildChild, PreschoolEscherichia coli InfectionsEscherichia coli O157Escherichia coli ProteinsFemaleGenetic VariationHumansInfantInfant, NewbornMaleMichiganEscherichia coli Proteins

Identifiers

PMID33627701
PMCPMC7904848

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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.