4-Aminobutyrate (GABA): a metabolite and signal with practical significance
Bibliographic record
Abstract
We discuss the origin of 4-aminobutyrate (GABA) from glutamate and polyamines, and its subsequent catabolism to succinic semialdehyde and either succinate or 4-hydroxybutyrate. Promiscuous activities of GABA transaminase, glyoxylate/succinic semialdehyde reductases, and aldehyde dehydrogenase 10As appear to be important determinants of cross-talk among metabolic pathways during stress. Imposition of abiotic stress, as well as genetic or chemical disruption of glutamate decarboxylase, GABA transaminase, and tricarboxylic acid cycle reactions, results in non-cyclic carbon flux in the tricarboxylic acid cycle, demonstrating that stress-induced GABA metabolism is strongly linked with respiration. Metabolic generation of 4-hydroxybutyrate is probably linked to the stimulation of succinic semialdehyde reductase activity by an increasing NADPH/NADP + ratio. We discuss the potential signaling role of GABA in various processes, including pollen tube guidance, interaction with fungal, bacterial, and invertebrate pests, and stomatal functioning, and argue that further research on short-term responses to stress is required to determine whether or not GABA functions by binding to or regulating the activity of GABA receptor molecules. Finally, we describe how emerging information about the metabolic and signaling roles of GABA is being used to improve plant defenses against biotic and abiotic stresses, and benefit human health.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 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".