Age-Related Changes in Transfer RNAs and Synthetases in Germinating Soybean (Glycine max) Cotyledons
Bibliographic record
Abstract
Transfer RNAs and aminoacyl-tRNA synthetases were isolated from 5- and 20-day-old etiolated ageing soybean cotyledons. The relative concentrations of Mg2+ and ATP for optimal acylation (using homologous tRNAs and synthetases) for the 16 amino acids tested indicate that the amino acids can be grouped into 3 categories with a Mg:ATP ratio of 2:1, 5:1 and 10:1 (aspartic acid, isoleucine, leucine, serine, and valine). The total amino acid acceptance for 5-day-old cotyledons was 0.427 mumol tRNA and 0.349 mumol/mumol tRNA for 20-day-old cotyledons. This shows that as cotyledons age, tRNA preparations show an overall decrease of 16.6% amino acid acceptance ability compared to tRNA from younger cotyledons. Charged tRNA samples from 5- and 20-day cotyledons chromatographed on RPC-5 columns demonstrate pronounced qualitative and quantitative changes in tRNA species as cotyledons age, including displacements of peaks as in alanyl-tRNAs and glycyl-tRNAs; disappearance of some species as in valyl-tRNAs, glutamyl-tRNAs, leucyl-tRNAs, lysyl-tRNAs, arginyl-tRNAs, histidyl-tRNAs and tyrosyl-tRNAs and formation of new species as in phenylalanine-tRNA.
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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 | 0.000 |
| 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) | 0.001 | 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".