Quantifying the Impact of ACC Deaminase-Containing Bacteria on Plants
Bibliographic record
Abstract
In 1994, we reported that the bacterium, Pseudomonas putida GR12-2 (Lifshitz et al. 1986), a well-known plant growth promoting strain, contained the enzyme, 1-aminocyclopropane-1-carboxylic acid (ACC) deaminase (Jacobson et al. 1994). This enzyme hydrolyzes ACC, the immediate precursor of ethylene, in plant tissues (Yang and Hoffman 1984). Ethylene is required for seed germination by many plant species and the rate of ethylene production increases during germination and seedling growth (Abeles et al. 1992). Although low levels of ethylene appear to enhance root initiation and growth, and promote root extension, high levels of ethylene produced by fast growing roots can lead to inhibition of root elongation (Mattoo and Suttle 1991;Ma et al. 1998).We have proposed a model that suggests that ACC deaminase-containing plant growth promoting bacteria can lower ethylene levels and thus stimulate plant growth (Glick et al. 1998). It is quite likely that much of the ACC produced during ethylene biosynthesis is taken up by the bacterium and subsequently hydrolyzed to α-ketobutyrate and ammonia by ACC deaminase. The uptake and cleavage of ACC by ACC deaminase would decrease the amount of ACC, as well as ethylene.
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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 | 0.001 | 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".