Analysis of the genetic region encoding a novel rhizobiocin from<i>Rhizobium leguminosarum</i>bv.<i>viciae</i>strain 306
Bibliographic record
Abstract
Cross-testing of a number of strains of Rhizobium leguminosarum for bacteriocin production revealed that strain 306 produced at least two distinct bacteriocins. Further analysis involving plasmid transfer to Agrobacterium and other hosts demonstrated that there were bacteriocin determinants on plasmids pRle306b and pRle306c, as well as a third bacteriocin. The bacteriocin encoded by pRle306b was indistinguishable from the bacteriocin encoded by strain 248, whereas the bacteriocin encoded by plasmid pRle306c had a distinctive spectrum of activity against susceptible strains, as well as different physical properties from other bacteriocins that we have studied in our lab. Two mutants altered in production of the pRle306c bacteriocin were generated by transposon Tn5 mutagenesis, and the DNA flanking the transposon inserts in these mutants was cloned and characterized. DNA sequence analysis suggested that the pRle306c bacteriocin was a large protein belonging to the RTX family, and that a type I secretion system involving an ABC type transporter was required for export of the bacteriocin. A mutant unable to produce this bacteriocin was unaltered in its competitive properties, both in broth and in nodulation assays, suggesting that the bacteriocin may not play a major role in determining the ecological success of this strain.
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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 | 0.001 |
| 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".