Distribution and possible biosynthetic pathway of non-protein sulfur amino acids in legumes
Bibliographic record
Abstract
Some grain legumes store sulfur in the form of non-protein amino acids in seed. γ-Glutamyl-S-methylcysteine is found in Phaseolus and several Vigna species. γ-Glutamyl-S-ethenylcysteine, an antinutritional compound, is present in Vicia narbonensis. In P. vulgaris, free S-methylcysteine levels are higher at early stages of seed development followed by a decline. γ-Glutamyl-S-methylcysteine accumulates later, in two phases, with a lag during reserve accumulation. The concentration of total S-methylcysteine, quantified after acid hydrolysis, is positively regulated by sulfate nutrition. The levels of both γ-glutamyl-S-methylcysteine and γ-glutamyl-S-ethenylcysteine are modulated in response to changes in seed protein composition. A model is proposed whereby the majority of γ-glutamyl-S-methylcysteine in P. vulgaris is synthesized via the intermediate S-methylhomoglutathione. Knowledge of the biosynthesis of non-protein sulfur amino acids is required for metabolic engineering approaches, in conjunction with manipulation of the protein sink, to increase the concentration of nutritionally essential methionine and cysteine. This would improve protein quality of some important legume crops.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".