The biosynthesis of Caryophyllaceae‐like cyclic peptides in <i>Saponaria vaccaria</i> L. from DNA‐encoded precursors
Bibliographic record
Abstract
Cyclic peptides (CPs) are produced in a very wide range of taxa. Their biosynthesis generally involves either non-ribosomal peptide synthases or ribosome-dependent production of precursor peptides. Plants within the Caryophyllaceae and certain other families produce CPs which generally consist of 5-9 proteinogenic amino acids. The biological roles for these CPs in the plant are not very clear, but many of them have activity in mammalian systems. There is currently very little known about the biosynthesis of CPs in the Caryophyllaceae. A collection of expressed sequence tags from developing seeds of Saponaria vaccaria was investigated for information about CP biosynthesis. This revealed genes that appeared to encode CP precursors which are subsequently cyclized to mature CPs. This was tested and confirmed by the expression of a cDNA encoding a putative precursor of the CP segetalin A in transformed S. vaccaria roots. Similarly, extracts of developing S. vaccaria seeds were shown to catalyze the production of segetalin A from the same putative (synthetic) precursor. Moreover, the presence in S. vaccaria seeds of two segetalins, J [cyclo(FGTHGLPAP)] and K [cyclo(GRVKA)], which was predicted by sequence analysis, was confirmed by liquid chromatography/mass spectrometry. Sequence analysis also predicts the presence of similar CP precursor genes in Dianthus caryophyllus and Citrus spp. The data support the ribosome-dependent biosynthesis of Caryophyllaceae-like CPs in the Caryophyllaceae and Rutaceae.
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 | 0.000 | 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 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".