Strain competition and agar affect the interaction of rhizobia with rice
Bibliographic record
Abstract
Competition assays with Sinorhizobium meliloti 1021 and its GFP-labelled pSymA cured and deleted derivatives, SmA818 and SmA146, demonstrated that Sm1021 could still inhibit rice seedling growth even when outnumbered by a large excess of the noninhibitory cured or deleted strain. The wild-type strain Sm1021 also inhibited the growth of its noninhibitory pSymA-cured strain SmA818(gfp) and its pSymA-deleted strain SmA146(gfp) in a manner suggesting that Sm1021 produced a bacteriocin-like substance. The production of, and resistance to, this substance seemed to be pSymA-associated, but it was not the cause of killing in competition experiments on rice, suggesting that the killing of SmA818(gfp) and SmA146(gfp) was medium dependent. The addition of agar in liquid F10 medium at concentrations < or = 0.4% (m/v) abolished the rice growth inhibition of strain Sm1021 and Sm1021(gfp). The increased medium viscosity at higher agar concentrations decreased the diffusion of gases and small molecules through the media. Thus, the low agar concentrations may mimic waterlogged soil conditions leading to the production of inhibitory compounds by the bacterial strains under microaerobic conditions.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 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".