α‐ and β‐Tubulin Phylogenies Support a Close Relationship Between the Microsporidia <i>Brachiola algerae</i> and <i>Antonospora locustae</i>
Bibliographic record
Abstract
Microsporidia are a large and diverse group of intracellular parasites related to fungi. Much of our understanding of the relationships between microsporidia comes from phylogenies based on a single gene, the small subunit (SSU) rRNA, because only this gene has been sampled from diverse microsporidia. However, SSUrRNA trees are limited in their ability to resolve basal branches and some microsporidian affiliations are inconsistent between different analyses. Protein phylogenies have provided insight into relationships within specific groups of microsporidia, but have rarely been applied to the group as a whole. We have sequenced alpha- and beta-tubulins from microsporidia from three different subgroups, including representatives from what have previously been inferred to be the basal branches, allowing the broadest sampled protein-based phylogenetic analysis to date. Although some relationships remain unresolved, many nodes uniting subgroups are strongly supported and consistent in both individual trees as well as a concatenate of both tubulins. One such relationship that was previously unclear is between Brachiola algerae and Antonospora locustae, and their close association with Encephalitozoon and Nosema. Also, an uncultivated microsporidian that infects cyclopoid copepods is shown to be related to Edhazardia aedis.
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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 | 0.001 | 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) | 0.002 | 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".