Translation regulation of integrons gene cassette expression by the <i>attC</i> sites
Bibliographic record
Abstract
Integron are genetic elements able to carry, capture and shuffle the genes embedded in gene cassettes. The attC recombination sites adopt a stable secondary structure when single-stranded that is necessary for their recombination. In this study, we evaluated the impact of the structure of the attC site on expression of the 3' gene in class 1 integrons. This was analysed by substituting the attC of the bla(IMP-8) gene cassette with various mutated attC sites spanning a wide range of sizes and secondary structures, and measuring the integron-dependent translation of the 3'aac(6')-Ib7 gene. In the resulting constructs, the 5'-attC site differentially affected the expression of the aac(6')-Ib7 gene. Contrary to what was expected from their proposed role as Rho-independent transcription terminators, the transcription of the aac(6')-Ib7 gene was not affected by the various attC sites. Mutations of natural sites revealed that destabilization of the potential stem-loop structure of the attC site in the transcript could enhance the expression of the 3' gene. In particular, the presence of a translated open reading frame was shown to increase translation of the 3' gene. These findings might be explained by the capacity of the stem-loop structures to impede ribosome progression.
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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".