Ribozyme motif structure mapped using random recombination and selection
Bibliographic record
Abstract
Isolating the core functional elements of an RNA is normally performed during the characterization of a new RNA in order to simplify further biochemical analysis. The removal of extraneous sequence is challenging and can lead to biases that result from the incomplete sampling of deletion variants. An impartial solution to this problem is to construct a library containing a large number of deletion constructs and to select functional RNA isolates that are at least as efficient as their full-length progenitors. Here, we use nonhomologous recombination and selection to isolate the catalytic core of a pyrimidine nucleotide synthase ribozyme. A variable-length pool of approximately 10(8) recombinant molecules that included deletions, inversions, and translocations of a 271-nucleotide-long ribozyme isolate was constructed by digesting and randomly religating its DNA genome. In vitro selection for functional ribozymes was then performed in a size-dependent and a size-independent manner. The final pools had nearly equivalent catalytic rates even though their length distributions were completely different, indicating that a diverse range of deletion constructs were functionally active. Four short sequence islands, requiring as little as 81 nt of sequence, were found within all of the truncated ribozymes and could be folded into a secondary structure consisting of three helix-loops. Our findings suggest that nonhomologous recombination is a highly efficient way to isolate a ribozyme's core motif and could prove to be a useful method for evolving new ribozyme functions from pre-existing sequences in a manner that may have played an important role early in evolution.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 teacher head, 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".