Evidence for a Dynamic Adaptor Complex between the P1 Plasmid and Bacterial Nucleoid Promoted by ParA and ParB Partition Proteins
Bibliographic record
Abstract
P1 prophage is stably maintained in E. coli as a low-copy-number plasmid. Stable maintenance of P1 is dependent on the function of the plasmid encoded partition system, parABS. ParA is the partition ATPase, ParB is the partition-site binding protein, and parS is the partition site. The concerted action of these proteins results in dynamic movement of the plasmid over the bacterial nucleoid, which results in its stable maintenance. Plasmid movement has been proposed to be caused by interactions between parS bound ParB and nucleoid bound ParA. In this thesis, I have identified a complex of ParA, ParB, and DNA that is capable of promoting plasmid stability. ParA, ParB, DNA interactions required the ATP bound conformation of ParA. The ParA-ParB-DNA complex was dynamically regulated by nucleotide hydrolysis, which promoted complex disassembly. Complex formation resulted from the cooperative binding of ParA and ParB to DNA. ParA-ParB and ParB-DNA interactions were both necessary for complex formation. ParA-ParB-DNA complex size was regulated by ParB stimulation of ParA-ATP hydrolysis. Microscopy demonstrated that complexes resulted in the association of multiple DNA molecules due to protein binding. The properties of complex assembly, dynamics, and DNA grouping lead me to propose a model where associations between ParA bound to the bacterial nucleoid and the partition complex mediated plasmid movement and localization.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".