Presence of a novel 16Sâ23S rRNA gene intergenic spacer insert in Bradyrhizobium canariense strains
Bibliographic record
Abstract
Seven slow-growing bacterial strains isolated from root nodules of yellow serradella (Ornithopus compressus) that originated from Asinara Island on North Western Sardinia in Italy were characterized by partial 16S rRNA gene and intergenic spacer (ITS) sequencing as well as amplified fragment length polymorphism (AFLP) genomic fingerprinting. The results indicated that the O. compressus isolates belong to the Bradyrhizobium canariense species. The analysis of ITS sequences divided the branch of B. canariense strains into two statistically separated groups (ITS clusters I and II). All the strains in ITS cluster I showed the presence of unique oligonucleotide insert TTAGAGACTTAGGTTTCTK. This insert was neither found in other described species of the family Rhizobiaceae nor in any other bacterial families and can be used as a natural and high selective genetic marker for ITS cluster I of B. canariense strains. ITS grouping of O. compressus isolates was supported by the unweighted pair group method with arithmetic averages cluster analysis of their AFLP patterns, suggesting that the strains of ITS cluster II were genetically closer to each other than to isolates from the ITS cluster I. A taxonomic importance is supposed of the revealed 19 bp ITS insert for an intraspecific division within high heterogeneous B. canariense 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) | 0.001 | 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".