A phylogenetic analysis of Bacillus thuringiensis serovars by RFLP-based ribotyping
Bibliographic record
Abstract
AIMS: To determine the 23S and 5S rRNA gene fingerprints in order to reveal phylogenetic relationships among Bacillus thuringiensis strains. METHODS AND RESULTS: Eighty-six B. thuringiensis strains which include 80 serovar type strains, five intraserovar strains and a non-serotypeable strain, wuhanensis, were tested. Total DNA was digested with EcoRI and HindIII. The 23S and 5S rRNA gene restriction fragment length polymorphisms showed 82 distinctive ribopatterns. The dendrogram generated by numerical analysis showed 10 phylogenetic groups and six ungrouped serovars at the 95.5% DNA relatedness rate. A second dendrogram was constructed using a combination of the data from this study and from a previous study on 16S rRNA gene fingerprinting. It revealed eight distinct phylogenetic groups and three ungrouped serovars at the 94% DNA relatedness rate. CONCLUSION: This method permitted the classification and positioning of a wide variety of B. thuringiensis strains on a phylogenetic tree. Bacillus thuringiensis strains appear to be relatively homogeneous and to share a high degree of DNA relatedness. SIGNIFICANCE AND IMPACT OF THE STUDY: This study contributes a further step to the definition of valid taxonomic sublevels for the B. thuringiensis species.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".