Evidence map›Paper›PMID 27974538›Full record

ArticleJournal of clinical microbiology2017

Identification of Escherichia coli and Shigella Species from Whole-Genome Sequences.

Marie A Chattaway, Ulf Schaefer, Rediat Tewolde, Timothy J Dallman, Claire Jenkins

Open access · bronzeAbstract read
In one paragraph

Article in Journal of clinical microbiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 82 papers.

0numbers the graph read from it
0cells of the map it votes in
82citing papers in PubMed
5.8field-weighted citation impact, top 3% 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

82 citing papers in PubMed, 135 citations in OpenAlex.

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  13. The emergence of sexually transmissibleMicrobial genomics · 2025
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  14. High pathogenic potential of Shigella flexneri strains descending from a common ancestor isolated over 34 years in Brazil.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2025
    Article
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22 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

5 authors at 1 institution in 1 country.

Marie A ChattawayGastrointestinal Bacteria Reference Unit and Bioinformatics Unit, National Infection Service, Public Health England, London, United Kingdom.
Ulf SchaeferGastrointestinal Bacteria Reference Unit and Bioinformatics Unit, National Infection Service, Public Health England, London, United Kingdom.
Rediat TewoldeGastrointestinal Bacteria Reference Unit and Bioinformatics Unit, National Infection Service, Public Health England, London, United Kingdom.
Timothy J DallmanGastrointestinal Bacteria Reference Unit and Bioinformatics Unit, National Infection Service, Public Health England, London, United Kingdom.
Claire JenkinsGastrointestinal Bacteria Reference Unit and Bioinformatics Unit, National Infection Service, Public Health England, London, United Kingdom claire.jenkins@phe.gov.uk.
Public Health England · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Escherichia coli and Shigella species are closely related and genetically constitute the same species. Differentiating between these two pathogens and accurately identifying the four species of Shigella are therefore challenging. The organism-specific bioinformatics whole-genome sequencing (WGS) typing pipelines at Public Health England are dependent on the initial identification of the bacterial species by use of a kmer-based approach. Of the 1,982 Escherichia coli and Shigella sp. isolates analyzed in this study, 1,957 (98.4%) had concordant results by both traditional biochemistry and serology (TB&S) and the kmer identification (ID) derived from the WGS data. Of the 25 mismatches identified, 10 were enteroinvasive E. coli isolates that were misidentified as Shigella flexneri or S. boydii by the kmer ID, and 8 were S. flexneri isolates misidentified by TB&S as S. boydii due to nonfunctional S. flexneri O antigen biosynthesis genes. Analysis of the population structure based on multilocus sequence typing (MLST) data derived from the WGS data showed that the remaining discrepant results belonged to clonal complex 288 (CC288), comprising both S. boydii and S. dysenteriae strains. Mismatches between the TB&S and kmer ID results were explained by the close phylogenetic relationship between the two species and were resolved with reference to the MLST data. Shigella can be differentiated from E. coli and accurately identified to the species level by use of kmer comparisons and MLST. Analysis of the WGS data provided explanations for the discordant results between TB&S and WGS data, revealed the true phylogenetic relationships between different species of Shigella, and identified emerging pathoadapted lineages.

Indexed as

Genome, BacterialMultilocus Sequence TypingBacteriological TechniquesDysentery, BacillaryEnglandEscherichia coliEscherichia coli InfectionsGenotypeHumansPhylogenySequence Analysis, DNAShigellaDNA sequencingEscherichia coliidentificationkmerMLSTShigella

Identifiers

PMID27974538
PMCPMC5277532
OpenAlexW2568548070

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.