Extending the Limited Transfer Window Hypothesis to Inter-organelle DNA Migration
Bibliographic record
Abstract
Mitochondrial genomes often contain large amounts of plastid DNA (ptDNA)-derived sequences (MTPTs). It has been suggested that the intercompartmental transfer of ptDNA is greatly reduced in species with only a single plastid per cell (monoplastidic) as compared with those with many plastids per cell (polyplastidic). This hypothesis has not been applied to the movement of DNA from plastids to mitochondria. By analyzing the organelle genomes from diverse mono- and polyplastidic taxa, I show that MTPTs are restricted to the mitochondrial genomes of species with many plastids per cell and are absent from those with one plastid per cell or with monoplastidic meristematic systems. Moreover, the most bloated mitochondrial genomes that were explored had the largest MTPT contents. These data, like previous results on ptDNA-derived sequences in nuclear genomes, support the hypothesis that plastid number and the forces governing the expansion and contraction of noncoding mitochondrial DNA (mtDNA) influence MTPT abundance. I also show that plastid genomes are depauperate in mtDNA-derived sequences (PTMTs), irrespective of the number of mitochondria per cell and plastid genome size, which may reflect the lack of a DNA uptake system in plastids.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".