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 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 | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".