Assessment of a short phylogenetic marker based on comparisons of 3’ end 16S rDNA and 5’ end 16S-23S ITS nucleotide sequences of the Bacillus cereus group
Bibliographic record
Abstract
A short phylogenetic marker previously used in the reconstruction of the Order Bacillales and the genus Bacillus was assessed here at a lower taxa level: species in the Bacillus cereus group: B. anthracis, B. cereus, B. thuringiensis and B. weihenstephanensis. This maker is 220 bp in length. It is a combination of 150 bp at the 3’ end of the 16S rDNA and 70 bp at the 5’ end of the 16S-23S ITS sequence. Three additional Bacillus species, B. halodurans, B. licheniformis and B. subtilis, and Clostridium tetani were included for comparison purposes. A total of eight bacterial species and 12 strains were analyzed. A boot- strapped neighbor-joining tree was inferred from comparative analyses of all allelic sequences of the bacterial species and strains under study. Based on its topology, four major Groups were revealed at the 90% nucleotide sequence identities, Group I to IV. Group I contains all al-leles of the Bacillus cereus group. Group II con-tains all alleles of B. halodurans. Group III con-tains all alleles of B. licheniformis and B. subtilis. Group IV contains all alleles of Clostridium tetani. The 220 bp phylogenetic marker used here could resolve different species from different genera. At the genus level, distant species could be dis-tinguished. Very closely-related species, however, were undistinguishable. Species in the B. cereus group, most notably B. cereus, B. anth- racis and B. thuringiensis, could not be distin- guished. After successfully inferring the phylo- genies of the Order Bacillales and the genus Bacillus, we have met the resolving limit of this short phy-logenetic marker: B. cereus, B. anthracis and B. thuringiensis.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".