Homoserine catabolism by <i> <scp>R</scp> hizobium leguminosarum </i> bv. <i>viciae</i> 3841 requires a plasmid‐borne gene cluster that also affects competitiveness for nodulation
Bibliographic record
Abstract
Homoserine represents a substantial component of pea root exudate that may be important for plant-microbe interactions in the rhizosphere. We identified a gene cluster on plasmid pRL8JI that is required for homoserine utilization by Rhizobium leguminosarum bv. viciae. The genes are arranged as two divergently expressed predicted operons that were induced by L-homoserine, pea root exudate, and were expressed on pea roots. A mutation in gene pRL80083 that prevented utilization of homoserine as a sole carbon and energy source affected the mutant's ability to nodulate peas and lentils competitively. The homoserine gene cluster was present in approximately 47% of natural R. leguminosarum isolates (n = 59) and was strongly correlated with homoserine utilization. Conjugation of pRL8JI to R. leguminosarum 4292 or Agrobacterium tumefaciens UBAPF2 was sufficient for homoserine utilization. The presence of L-homoserine increased conjugation efficiency of pRL8JI from R. leguminosarum to a pRL8JI-cured derivative of R. leguminosarum 1062 and to A. tumefaciens UBAPF2, and induced expression of the plasmid transfer gene trbB; however, there was no difference in conjugation efficiency or trbB expression with A. tumefaciens UBAPF2pRL8-Gm as the donor suggesting that other genes in R. leguminosarum may contribute to regulating conjugation of pRL8 in the presence of homoserine.
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How this classification was reachedexpand
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 | 0.000 |
| 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 | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".