Recipient UvrD helicase is involved in single- to double-stranded DNA conversion during conjugative plasmid transfer
Bibliographic record
Abstract
Dissemination of antibiotic resistance, a current societal challenge, is often driven by horizontal gene transfer through bacterial conjugation. During conjugative plasmid transfer, single-stranded (ss) DNA is transferred from the donor to the recipient cell. Subsequently, a complete double-stranded (ds) plasmid molecule is generated and plasmid-encoded genes are expressed, allowing successful establishment of the transconjugant cell. Such dynamics of transmission can be modulated by host- or plasmid-encoded factors, either in the donor or in the recipient cell. We applied transposon insertion sequencing to identify host-encoded factors that affect conjugative transfer frequency in Escherichia coli. Disruption of the recipient uvrD gene decreased the acquisition frequency of conjugative plasmids belonging to different incompatibility groups. Results from various UvrD mutants suggested that dsDNA binding activity and interaction with RNA polymerase are dispensable, but ATPase activity is required for successful plasmid establishment of transconjugant cells. Live-cell microscopic imaging showed that the newly transferred ssDNA within a uvrD- recipient often failed to be converted to dsDNA. Our work suggested that in addition to its role in maintaining genome integrity, UvrD is also key for the establishment of horizontally acquired plasmid DNA that drives genome diversity and evolution.
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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 | 0.001 |
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".