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First Isolation and Genomic Characterization of Escherichia ruysiae in Togo from a Five-Year-Old Patient with Gastroenteritis and Bloody Diarrhea

2025· article· en· W4416722433 on OpenAlexaff
Kossi Kabo, Niokhor Dione, Kodjovi D. Mlaga, Tchadjobo Tchacondo

Bibliographic record

VenueMicroorganisms · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEscherichia coli research studies
Canadian institutionsMontreal Clinical Research Institute
Fundersnot available
KeywordsMultilocus sequence typingWhole genome sequencingVirulenceTypingBloody diarrheaIsolation (microbiology)DiarrheaCladeIdentification (biology)

Abstract

fetched live from OpenAlex

Escherichia ruysiae is a recently characterized species within the Escherichia genus, often misclassified as E. coli due to limitations in existing operating procedures and diagnostic databases. In this study, we report the first isolation and genomic characterization of E. ruysiae in Togo, from a five-year-old female patient who was hospitalized with gastroenteritis and bloody diarrhea and subsequently died after eight days. Biochemical tests and MALDI-TOF initially identified the microorganism as E. coli, but phylogenomic and Average Nucleotide Identity (ANI) analysis confirmed it to be E. ruysiae, Clade IV with enteroaggregative associated genes. Whole genome sequencing of the strain FK53-34 enables the identification of resistance genes, including blaEC-15, eptA, and pmrF. The virulence profile of the strain included, but was not limited to aap, aatABC, and senB genes, which may support its pathogenicity and virulence. Multilocus sequence typing (MLST) did not match any known sequence type, which is obvious for a newly characterized microorganism. This study highlights the critical need for enhanced diagnostic tools and surveillance systems to identify emerging pathogens, including Escherichia ruysiae.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.517
Threshold uncertainty score0.431

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.002
GPT teacher head0.189
Teacher spread0.187 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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