Physiological and genetic characterization of fluorescent<i>Pseudomonas</i>associated with<i>Cantharellus cibarius</i>
Bibliographic record
Abstract
Fluorescent Pseudomonas spp. isolated from fruiting bodies (FB) of Cantharellus cibarius were characterized physiologically and genetically and were compared with fluorescent Pseudomonas from forest soil and with sequences from the GenBank database. Pseudomonas spp. from FB differed physiologically from isolates from soil lacking FB and had some similarities with the strains obtained from soil underneath the FB. Analyses of the polymerase chain reaction (PCR) and restriction fragment length polymorphism (RFLP) patterns and partial sequencing analysis of the 16S-rDNA region indicated that the bacteria isolated from these environments were different. However, there was no specific Pseudomonas genotype restricted to the FB environment. Utilization of the reported fungal exudates trehalose and mannitol may explain how millions of bacteria survive in the C. cibarius FB without deteriorating the fungal mycelium. The importance of the metabolic characterization of bacteria and the possible mechanisms involved in the association with C cibarius are discussed. Our study showed that standard processes for bacterial identification, e.g., Biolog and 16S-rDNA are insufficient until databases for different ecosystems are created.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".