Identification of Bacterial Proteins Mediating the Interactions Between <i>Pseudomonas putida</i> UW4 and <i>Brassica napus</i> (Canola)
Bibliographic record
Abstract
The influence of canola root exudates on the proteome of Pseudomonas putida UW4 and the mutant strain P. putida UW4/AcdS(-), which lacks a functional 1-aminocyclopropane-1-carboxylate deaminase gene, was examined using two-dimensional difference in-gel electrophoresis. Seventy-two proteins with significantly altered expression levels in the presence of canola root exudates were identified by mass spectrometry. Many of these proteins are involved in nutrient transport and utilization, cell envelope synthesis, and transcriptional or translational regulation and, hence, may play important roles in plant-bacterial interactions. Four proteins showing large changes in expression in response to canola root exudates in both the wild-type and mutant strains of P. putida UW4 (i.e., outer membrane protein F, peptide deformylase, transcription regulator Fis family protein, and a previously uncharacterized protein) were both overexpressed and disrupted in P. putida UW4 in an effort to better understand their functions. Functional studies of these modified strains revealed significantly enhanced or inhibited plant-growth-promoting abilities compared with the wild-type P. putida UW4, in agreement with the suggested involvement of three of these four proteins in plant-bacterial interactions. The work reported here suggests strategies to both identify potential antibacterial agents and develop bacterial strains that might be useful adjuncts to agriculture. This approach may be an effective means of identifying key proteins mediating the interactions of bacteria with their rhizosphere environment.
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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 | 0.000 |
| 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".