Poriferan mtDNA and Animal Phylogeny Based on Mitochondrial Gene Arrangements
Bibliographic record
Abstract
Phylogenetic relationships among the metazoan phyla are the subject of an ongoing controversy. Analysis of mitochondrial gene arrangements is a powerful tool to investigate these relationships; however, its previous application outside of individual animal phyla has been hampered by the lack of informative out-group data. To address this shortcoming, we determined complete mitochondrial DNA sequences for the demosponges Geodia neptuni and Tethya actinia, two representatives of the most basal animal phylum, the Porifera. With sponges as an outgroup, we investigated phylogenetic relationships of nine bilaterian phyla using both breakpoint analysis of global mitochondrial gene arrangements and maximum parsimony analysis of mitochondrial gene adjacencies. Our results provide strong support for a group that includes protostome (but not deuterostome) coelomate, pseudocoelomate, and acoelomate animals, thus clearly rejecting the Coelomata hypothesis. Two other groups of bilaterian animals, Lophotrochozoa and Ambulacraria, are also supported by our analyses. However, due to the remarkable stability of mitochondrial gene arrangements in Deuterostomia and the Ecdysozoa, conclusions on their evolutionary history cannot be drawn.
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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) | 0.002 | 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".