Copying of Mixed-Sequence RNA Templates inside Model Protocells
Bibliographic record
Abstract
Abstract The chemical replication of RNA inside fatty acid vesicles is a plausible step in the emergence of cellular life. On the primitive Earth, simple protocells with the ability to import nucleotides and short oligomers from their environment could potentially have replicated and retained larger genomic RNA oligonucleotides within a spatially defined compartment. We have previously shown that short 5′-phosphoroimidazolide-activated “helper” RNA oligomers enable the nonenzymatic copying of mixed-sequence templates in solution, using 5′-phosphoroimidazolide-activated mononucleotides. Here, we report that citrate-chelated Mg2+, a catalyst of nonenzymatic primer extension, enhances fatty acid membrane permeability to such short RNA oligomers up to the size of tetramers, without disrupting vesicle membranes. In addition, selective permeability of short, but not long, oligomers can be further enhanced by elevating the temperature. The ability to increase the permeability of fatty acid membranes to short oligonucleotides allows for the nonenzymatic copying of RNA templates containing all four nucleotides inside vesicles, bringing us one step closer to the goal of building a protocell capable of Darwinian 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 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".