The dualistic nature of integrative and conjugative elements
Bibliographic record
Abstract
Integrative and conjugative elements (ICEs) are mobile genetic elements that play a key role in bacterial adaptation. Such elements are found in almost every bacterial genera and species, and often code for adaptive traits conferring selective advantages to their host. ICEs maintain by integrating into and replicating along with a replicon of the host genome. ICEs can propagate by conjugative transfer toward a recipient cell following excision from the replicon as a circular covalently-closed molecule. For a long time, the excised form of ICEs was assumed to be non-replicative. This assumption predicts that excised ICEs are sensitive to loss during cell division, unless they carry stabilization systems such as addiction modules or antibiotic resistance genes. Over the past few years, growing evidence have been presented that support conditional replication of the circular intermediate as an intrinsic feature of ICEs. We recently confirmed this feature in the large family of SXT/R391 ICEs, which thrive in several species of Enterobacteriaceae and Vibrionaceae. Furthermore, we demonstrated that SXT/R391 ICEs encode a functional plasmid-like type II partition system that enhances their stability, such systems being probably encoded by other ICEs. The lifecycle of ICEs is therefore much more complex than initially thought as many ICEs may use plasmid-like features to improve their stability and dissemination.
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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".