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Record W4412090238 · doi:10.1128/mbio.01196-25

Auto-aggregation in <i>Streptococcus intermedius</i> is driven by the Pel polysaccharide

2025· article· en· W4412090238 on OpenAlexafffund
D. Raju, Siobhán A. Turner, Karla M. Castro, Gregory B. Whitfield, Daphnée Lamarche, Sahil Mahajan, Roland Pfoh, François Le Mauff, Maju Joe, Susmita Sarkar, Todd L. Lowary, Donald C. Sheppard, Daniel J. Wozniak, Michael G. Surette, P. Lynne Howell

Bibliographic record

VenuemBio · 2025
Typearticle
Languageen
FieldMedicine
TopicStreptococcal Infections and Treatments
Canadian institutionsUniversity of AlbertaMcGill UniversityMcMaster UniversityUniversity of TorontoInstitute of Infection and ImmunityHospital for Sick Children
FundersCanadian Glycomics NetworkFonds de Recherche du Québec - SantéCanadian Institutes of Health ResearchHospital for Sick ChildrenCanada Research ChairsNational Institute of Allergy and Infectious DiseasesNatural Sciences and Engineering Research Council of CanadaCystic Fibrosis CanadaNational Institutes of HealthCystic Fibrosis Foundation
KeywordsBiofilmMicrobiologyStreptococcus intermediusBiologyGeneMutantOperonPseudomonas aeruginosaPhenotypeComplementationGene clusterBacteriaGeneticsStreptococcus

Abstract

fetched live from OpenAlex

ABSTRACT The Streptococcus milleri group (SMG), comprising Streptococcus intermedius, anginosus , and constellatus , can asymptomatically colonize various mucosal sites of healthy individuals. These bacteria are opportunistic pathogens that cause different types of infections across various anatomical sites. Although the pathogenic mechanisms leading to infections are not well defined in the SMG, auto-aggregation is a key driver of biofilm adhesion and cohesion in many Streptococci and Staphylococci. Here, we identify a S. intermedius gene cluster with significant homology to the Bacillus cereus and Pseudomonas aeruginosa pel operons, which are required for Pel exopolysaccharide production and biofilm formation in these species. This cluster contains five genes that are homologous to pelDEA DA FG in other gram-positive species and four additional genes of unknown function. Characterization of a panel of clinical S. intermedius isolates identified a range of adherent biofilm and aggregation phenotypes , and aggregation in strain C1365 was dependent on each of the pelDEA DA FG genes. Deletion of two of the additional genes , SIR_1592 and SIR_1594 , reduced but did not abolish the aggregation phenotype. Furthermore, we demonstrate that SIR_1591 is a glycoside hydrolase and that C1365 produces a GalNAc-rich polymer as aggregates were disrupted by theα−1,4- N- acetylgalactosaminidases PelA and Sph3, but not the α−1,4- N- galactosaminidase Ega3. Using an abscess model of mouse infection, we show that loss of Pel production in a C1365 Δ pelF mutant allows for more effective bacterial clearance. The polymer also affects how S. intermedius interacts with the host immune system. Collectively, our data suggest that Pel biosynthesis contributes to S. intermedius pathogenicity. IMPORTANCE SMG species are increasingly being recognized as pathogens. Despite their clinical relevance, little is known about how SMG members transition between asymptomatic colonization and infection. Herein, we show that clinical isolates of S. intermedius can be classified into four groups based on their aggregation and adherent biofilm phenotypes. We demonstrate that aggregation is dependent on the Pel polysaccharide and that Pel production allows bacteria not only to persist longer during infection but also modulates the immune responses of the host. Pel production requires the canonical pelDEA DA FG genes. We also identified four additional genes in the S. intermedius pel cluster and found that under the conditions tested, two of these genes play a role in aggregation and Pel production. Functional homologs of the additional genes play major roles in host-pathogen interactions and stress responses in other bacteria, suggesting that these additional genes could play a role in Pel-related infections.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.113
Threshold uncertainty score0.329

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 head0.010
GPT teacher head0.290
Teacher spread0.281 · 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 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

Citations3
Published2025
Admission routes2
Has abstractyes

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