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Record W2956859854 · doi:10.1101/700229

Assembly of a functional ribozyme from short oligomers by enhanced non-enzymatic ligation

2019· preprint· en· W2956859854 on OpenAlexfundno aff
Lijun Zhou, Derek K. O’Flaherty, Jack W. Szostak

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2019
Typepreprint
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA and protein synthesis mechanisms
Canadian institutionsnot available
FundersDivision of ChemistryFonds de recherche du Québec – Nature et technologiesCanadian Institutes of Health ResearchSimons FoundationHoward Hughes Medical InstituteNational Science Foundation
KeywordsRibozymeOligonucleotideProtocellLigationRNAChemical ligationDNA ligaseNucleotideBioorthogonal chemistryRNA ligaseTemplateChemistryBiologyBiochemistryEnzymeCombinatorial chemistryMolecular biologyDNAClick chemistryNanotechnologyMaterials scienceGene

Abstract

fetched live from OpenAlex

Abstract The non-enzymatic replication of the primordial genetic material is thought to have enabled the evolution of the first ribozymes, leading to early forms of RNA-based life. However, the reported rate of chemical RNA ligation is extremely slow. Here we show that the rate of ligation can be greatly enhanced by employing a 3′-amino group at the 3′-end of each oligonucleotide, in combination with an N -alkyl imidazole organocatalyst. These modifications allow the rapid copying of long RNA templates by multi-step ligation of tetranucleotides, as well as the assembly of long oligonucleotides from short template splints. Our work shows that a functional RNA ligase ribozyme can be assembled from relatively short oligonucleotides, demonstrating a transition from non-enzymatic ligation to enzymatic ligation. We suggest that the genomes of primitive protocells could have consisted of relatively easily replicated oligonucleotides as short as 10 to 12 nucleotides in length.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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.

Opus teacher head0.009
GPT teacher head0.208
Teacher spread0.199 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations5
Published2019
Admission routes1
Has abstractyes

Explore more

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