High-Fidelity Templated Ligation of RNA via 2′,3′-cyclic Phosphate
Bibliographic record
Abstract
The templated ligation of oligonucleotides offers a mode of replication in an RNA world. The 2′,3′-cyclic phosphate (>P) is a prebiotically available activation group for RNA and the product of backbone hydrolysis. Using gel electrophoresis and liquid chromatography, we found that the templated ligation of RNA with >P activation proceeds in alkaline (pH 9-11) low-salt aqueous solutions with 1 mM MgCl2 in temperatures ranging from 20 to 25 °C within a few days. Under the optimum conditions of pH 10 and 5 °C, the ligation yielded 40% after 7 days. No additional catalysts were required. In contrast to previous reports, we found an equimolar mixture of 2′-5′ and 3′-5′ linked oligomers in the used conditions. We probed the nucleotide specificity at the ligation site and found that one mutation reduced the ligation yield by 82-92%. We extrapolated these results to a per-nucleotide replication fidelity of 95-98% when ligating 4- to 6-mers. With splinted oligomers, five ligations created a 96 mer strand, demonstrating a possible assembly pathway for long ribozymes. With the low salt requirements, strand separation will be compatible with the ligation conditions using non-equilibrium settings. The findings suggest that templated ligation mediated by 2′,3′-cyclic phosphate in alkaline conditions offer a slow, but precise replication and elongation reaction for RNA on early Earth.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".