GAS2 encodes a 2-oxoglutarate dependent dioxygenase involved in ABA catabolism
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Bibliographic record
Abstract
Liu et al. 1 recently reported the characterisation of Arabidopsis thaliana GAS2 (Gain of Function in ABA-modulated Seed Germination 2), which was described as an enzyme catalysing the stereospecific hydration of GA 12 to produce GA 12 16, 17-dihydro-16α-ol (DHGA 12 ). A second paper describes the conversion of GA 12 to an unidentified product by GAS2 and reports that this enzyme does not convert ABA 2 . As previously reported 3 , we did not find any conversion of [17- 14 C]-labelled or [1-,7-,12-,18- 14 C 4 ]-labelled GA 12 by GAS2. Instead, we present here data showing that the recombinant GAS2 enzyme catabolizes abscisic acid (ABA) to phaseic acid (PA) and further to a second product, putative 8’-carboxy-ABA (compound A; Fig. 1a ). Fig. 1: GAS2 is an ABA catabolising oxidase. a The proposed ABA catabolic pathway catalysed by GAS2. b Metabolism of 3’,5’,5’,7’,7’,7’- d 6 -ABA incubated with 70 µL cell lysate containing recombinant ATGA20ox1 and cofactors (negative control, top lane). Metabolism of d 6 -ABA incubated with indicated volumes of cell lysates containing recombinant GAS2 and cofactors as described in Methods. Chromatograms of characteristic single ions are shown in the first row for ABA (extracted ion m/z 194.2), in the middle row for PA ( m/z 125.2), and in the right row for compound A ( m/z 194.2). Compounds that were identified on the basis of their full scan mass spectra of the methyl ester derivatives are shown in red. Similar results were obtained with two recombinant GAS2 preparations, produced from independent isolated E.coli clones, each were incubated at seven different lysate concentrations. Full size image
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| 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 | 0.003 | 0.003 |
| Research integrity | 0.002 | 0.006 |
| 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 it