SOME PHYLOGENETIC RELATIONSHIPS WITHIN THE OSCILLATORIALES (CYANOBACTERIA) CLADE USING 16S RDNA GENE SEQUENCE DATA
Bibliographic record
Abstract
An approximately 1400 base pair region of the 16S rDNA gene was sequenced from taxa within the Oscillatoriales in order to assess phylogenetic relationships. Ten previously unsequenced strains were obtained from the University of Toronto Culture Collection. New sequence data were combined with previously published sequences from a wide representation of cyanobacteria including all currently available, complete Oscillatorialian taxa. Trees constructed using parsimony, distance, and maximum likelihood methods were similar in topology, although a few taxa were variable in their placement depending on the phylogenetic method employed. Newly sequenced taxa of the genera Phormidium, Oscillatoria, and Lyngbya did not form monophyletic clades based on traditional generic designations. Two Lyngbya strains (UTCC296 and 313) and Phormidium subfuscum (UTCC474) formed a well supported monophyletic clade, but the affinity of this clade with other groups was uncertain due to lack of bootstrap support. Oscillatoria sp. (UTCC393) was closely related to the previously sequenced Oscillatoria limnetica and likewise, Phormidium molle (UTCC77) and Phormidium tenue (UTCC473) were placed in a well supported clade with other Oscillatoriales. The other four taxa were variously placed in the trees and their phylogenetic positions could not be determined with certainty.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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".