Bibliographic record
Abstract
Abstract Ribonucleic acid (RNA) polymerases are responsible for the transcription of deoxyribonucleic acid (DNA) into RNA. The number of protein subunits making up these enzymes has increased during evolution from 5 in Eubacteria to 12 in the common ancestor of Archaea and eukaryotes. Eukaryotes have three RNA polymerases , each transcribing a particular subset of genes. RNA polymerase I transcribes ribosomal RNA genes, RNA polymerase II transcribes messenger RNA genes and RNA polymerase III transcribes 5S and transfer RNA genes. Although RNA polymerase II is still made up of 12 subunits, the number of subunits has increased to 14 in RNA polymerase I and to 17 in RNA polymerase III . These new subunits originated from the permanent recruitment of pre‐existing general transcription factors. Interestingly, the evolution of the three eukaryotic RNA polymerases has been affected not only by adaptive forces but also by the nonadaptive forces due to the concerted evolution of the genes they transcribe. Key Concepts: The larger numbers of protein subunits found in RNA polymerases I and III, relative to RNA polymerase II, are due to the permanent recruitment of general transcription factors. The three universal eukaryotic RNA polymerases have specific functional differences near their respective active sites. During evolution, the three eukaryotic RNA polymerase have been selected to better perform their specific tasks. The rate of evolution of RNA polymerases is proportional to the amount of homogenisation (concerted evolution) experienced by the genes they transcribe. Nonadaptive processes therefore also affect the rate of evolution of RNA polymerase genes.
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 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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".