Transfer activation of SXT/R391 integrative and conjugative elements: unraveling the SetCD regulon
Bibliographic record
Abstract
Integrative and conjugative elements (ICEs) of the SXT/R391 family have been recognized as key drivers of antibiotic resistance dissemination in the seventh-pandemic lineage of Vibrio cholerae. SXT/R391 ICEs propagate by conjugation and integrate site-specifically into the chromosome of a wide range of environmental and clinical Gammaproteobacteria. SXT/R391 ICEs bear setC and setD, two conserved genes coding for a transcriptional activator complex that is essential for activation of conjugative transfer. We used chromatin immunoprecipitation coupled with exonuclease digestion (ChIP-exo) and RNA sequencing (RNA-seq) to characterize the SetCD regulon of three representative members of the SXT/R391 family. We also identified the DNA sequences bound by SetCD in MGIVflInd1, a mobilizable genomic island phylogenetically unrelated to SXT/R391 ICEs that hijacks the conjugative machinery of these ICEs to drive its own transfer. SetCD was found to bind a 19-bp sequence that is consistently located near the promoter -35 element of SetCD-activated genes, a position typical of class II transcriptional activators. Furthermore, we refined our understanding of the regulation of excision from and integration into the chromosome for SXT/R391 ICEs and demonstrated that de novo expression of SetCD is crucial to allow integration of the incoming ICE DNA into a naive host following conjugative transfer.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".