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Record W4415736009 · doi:10.1128/jcm.01030-25

Genomic re-evaluation of clinical isolates reveals a structured <i>Streptococcus suis</i> complex

2025· article· en· W4415736009 on OpenAlexafffund
K. Li, Sonia Lacouture, Lucy A. Weinert, Tsutomu Sekizaki, Daisuke Takamatsu, Antony T. Vincent, Ján Matiašovic, Han Zheng, Hubert Gantelet, Marcelo Gottschalk, Nahuel Fittipaldi

Bibliographic record

VenueJournal of Clinical Microbiology · 2025
Typearticle
Languageen
FieldMedicine
TopicStreptococcal Infections and Treatments
Canadian institutionsUniversité de Montréal
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsSensu strictoSensuGenomeGenetic diversityDiagnostic testMolecular diagnosticsDNA sequencingGenomic sequencing

Abstract

fetched live from OpenAlex

ABSTRACT Accurate species-level identification among Streptococcus suis and its close relatives remains challenging due to limited resolution of existing diagnostic tools and incomplete taxonomic frameworks. We investigated 61 isolates from diseased swine and three from cows identified as S. suis by MALDI-TOF MS, but which tested negative by a recN gene-based PCR assay commonly used for species confirmation. Whole-genome sequencing revealed that only four isolates were S. suis sensu stricto, while most others belonged to Streptococcus parasuis , Streptococcus ruminantium , Streptococcus iners , Streptococcus suivaginalis , Streptococcus hepaticus , and several other newly proposed Streptococcus species. Core genome phylogenies consistently resolved these novel taxa as monophyletic and taxonomically coherent. However, phylogenies based on the recN gene did not reliably track species boundaries due to limited resolution and recombination, which also affects diagnostic assays. As a proof of concept, we identified 38 genes conserved in ≥95% of S. suis sensu stricto genomes that may support future marker-based diagnostics. Our results confirm extensive taxonomic diversity among S. suis -like organisms, support the recognition of a broader S. suis complex, demonstrate the need for genome-based methods to distinguish its members, and provide evidence supporting the potential clinical significance of several newly recognized and recently proposed species within this complex. IMPORTANCE Several new species closely related genetically to Streptococcus suis have recently been formally recognized or proposed, raising the possibility that they form a broader, previously unrecognized S. suis complex. Yet most clinical laboratories still report such isolates simply as S. suis , due to the limited resolution of current diagnostic tools. Here, we show that two widely used methods, MALDI-TOF MS and a recN -based PCR used for molecular confirmation of MALDI-TOF MS results, can misidentify S. suis -like isolates. We analyzed 61 isolates from diseased swine and three from cows: all were classified as S. suis by MALDI-TOF MS but tested negative by the recN PCR. Exposing a major gap in current diagnostic frameworks, whole-genome sequencing revealed that most isolates were not S. suis sensu stricto but instead belonged to other recognized or recently proposed Streptococcus species. Most swine isolates were recovered from normally sterile sites, suggesting potential but unconfirmed pathogenic relevance. We provide genomic evidence supporting the proposal of a structured S. suis complex and identify S. suis sensu stricto-specific markers that may inform improved molecular diagnostics in the future. Our findings emphasize the need to modernize diagnostics to account for the true diversity and potential importance for animal health of this expanding group of taxa.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.154
GPT teacher head0.487
Teacher spread0.334 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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 routes2
Has abstractyes

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