DNA-Damaging Agents Induce the RecA-Independent Homologous Recombination Functions of Integrating Conjugative Elements of the SXT/R391 Family
Bibliographic record
Abstract
Integrating conjugative elements (ICEs) of the SXT/R391 family are major contributors to the spread of antibiotic resistance genes. These elements also catalyze their own diversity by promoting inter-ICE recombination through the action of the RecA-independent homologous recombination system that they encode. Here, we report that expression of this recombination system, which consists of the single-stranded DNA annealing protein Bet and the exonuclease Exo, is induced by DNA-damaging agents via ICE-encoded transcriptional regulators. We show that the bet and exo genes are part of a large polycistronic transcript that contains many conserved ICE genes that are not involved in the main integration/excision and conjugative transfer processes. We show that although the recombination genes are highly transcribed, their translation is subject to additional strong regulatory mechanisms. We also show that an ICE-encoded putative single-stranded DNA binding protein (Ssb) limits hybrid ICE formation. Finally, a thorough in silico analysis reveals that orthologues of Bet and Exo are widely distributed in bacterial strains belonging to very distantly related bacterial species and are carried by various mobile genetic elements. Phylogenetic analyses suggest that the annealing proteins and exonucleases that compose these systems sometimes have different evolutionary origins, underscoring the strong selective pressure to maintain the functionality of these unrelated cooperating proteins.
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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 | 0.000 |
| 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".