The operon for cytokinin biosynthesis of <i>Erwinia herbicola</i> pv. <i>gypsophilae</i> contains two promoters and is plant induced
Bibliographic record
Abstract
The operon for cytokinin biosynthesis in the gall-forming bacterium Erwinia herbicola pv. gypsophilae (Ehg) has been previously shown to reside on an indigenous plasmid (pPATH(Ehg)) that is mandatory for pathogenicity. This operon consists of two genes: the first open reading frame (pre-etz) is of unknown function, whereas the second one (etz) encodes for isopentenyl transferase. Northern hybridization performed with the wild-type strain Ehg824-1 grown in Luria-Bertani broth demonstrated two transcripts of which an etz-specific transcript (1.0 kb) was predominant. Fusion of upstream DNA fragments of both pre-etz and etz to the ice nucleation reporter gene inaZ in pVSP61 showed high ice nucleation activity in both cultures, confirming the presence of two independent promoters. An increase of 1-1.5 orders in transcriptional activity of these promoters was observed following inoculation of gypsophila cuttings. Mutants of Ehg824-1 were generated by insertion of inaZ into pre-etz and etz using the transposon reporter Tn3-Spice. An increase of about two orders in transcriptional activity was recorded with both mutants following inoculation of gypsophila or bean cuttings. A similar induction was also observed when the bacteria were applied to the leaf surface of these plants. Unlike other virulence genes present on the pPATH(Ehg), neither pre-etz nor etz was regulated by the adjacent hrp gene cluster.
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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 | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".