The ribosomal RNA gene promoter and adjacent cis-acting DNA sequences govern plasmid DNA partitioning and stable inheritance in the parasitic protozoan Leishmania
Bibliographic record
Abstract
Detailed analysis of the Leishmania donovani ribosomal RNA (rRNA) gene promoter region has allowed the identification of cis-acting sequences involved in plasmid DNA partitioning and stable plasmid inheritance. We report that plasmids bearing the 350 bp rRNA promoter along with the 200 bp region immediately 3' to the promoter exhibited a 6.5-fold increase in transformation frequency and were transmitted to daughter cells as single-copy molecules. This is in contrast to what has been observed for plasmid molecules in this organism so far. Moreover, we show that these low-copy-number plasmids displayed a remarkable mitotic stability in the absence of selective pressure. The region in the vicinity of the RNA pol I transcription initiation site, and also in the adjacent 200 nt, displays a complex structural organization and shares sequence similarity to the yeast autonomously replicating consensus sequence and centromere DNA elements. Deletion analyses indicated that these elements were necessary but not sufficient for plasmid DNA partitioning and stable inheritance, and that the rRNA promoter region was required for optimal function. These results suggest an interplay between RNA pol I transcription, DNA replication, DNA partitioning and mitotic stability in trypanosomatids. This is the first example of defined DNA elements for plasmid partitioning and stable inheritance in the protozoan parasite Leishmania.
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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) | 0.000 | 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".