Elucidating the Role of the Competence Regulon Quorum Sensing Circuitry in <i>Streptococcus cristatus</i>
Bibliographic record
Abstract
Streptococcus cristatus belongs to the Mitis group of streptococci and is an early colonizer of the human oral cavity. This species has recently been reclassified from Streptococcus oligofermentans, and as such, much information regarding the competence regulon and its regulatory role in modulating downstream phenotypes remains unknown. In this work, we set out to investigate the role of the competence-stimulating peptide (CSP) in competence regulon activation and modulation, as well as define the resultant transcriptomic and phenotypic effects of CSP exposure. To this end, following confirmation of the CSP identity, structure activity relationship (SAR) analyses were conducted and revealed residues integral for CSP::ComD binding and activation, as well as provided insights about the CSP secondary structure. The ability of synthesized CSP analogs to modulate the competence regulon was quantified with the aid of a newly developed luciferase-based reporter strain, after which the biological activity was correlated with peptide secondary structure derived through CD analysis. Furthermore, RNA-seq was utilized to gain broader insights about subsequent transcriptomic changes following CSP incubation, while phenotypic assays helped with visualizing resultant expression profiles. Lastly, to further explore the potential of S. cristatus as a potential biotherapeutic against the oral pathogen, Streptococcus mutans, interspecies competition assays were used to evaluate interactions between these two species.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".