The F-plasmid, a paradigm for bacterial conjugation
Bibliographic record
Abstract
The F factor is often associated with Escherichia coli and appears to have been adapted by the bacterial host to act as an agent of genetic exchange and evolution. F encodes a type IV secretion system (T4SS) that enables bacterial conjugation, the transfer of DNA from a donor F + to a recipient F − cell. The delivery of DNA containing either host or foreign genes has important consequences for the bacterium, allowing it to enlarge or modify its genetic content and rapidly adapt to an environmental niche. Unlike other plasmids, the conjugative functions of F and F-like plasmids appear to be controlled by a complex regulatory network that involves many host proteins resulting in a symbiotic relation between F and its host. This chapter outlines the predicted and known functions for all the genes on the F plasmid and its close relatives, and describes our current knowledge about the regulation of F conjugation. BRIEF HISTORY OF THE F PLASMID The discovery of horizontal gene transfer between bacteria can be attributed to the work of Lederberg and Tatum (1946), who observed that different strains of E. coli K-12 could be genetically and phenotypically altered when mixed together. A series of experiments led to the conclusion that direct contact between bacteria was required in order for genetic material to be transferred between the cells (Davis, 1950). This transfer was found to occur in one direction, from donor to recipient cells, by a mechanism contained within the donor cells (Hayes, 1952).
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.004 |
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".