Glass Sponges and Bilaterian Animals Share Derived Mitochondrial Genomic Features: A Common Ancestry or Parallel Evolution?
Bibliographic record
Abstract
Glass sponges (Hexactinellida) are a group of deep-water benthic animals that have a unique syncytial organization and possess a characteristic siliceous skeleton. Although hexactinellids are traditionally grouped with calcareous and demosponges in the phylum Porifera, the monophyly of sponges and the phylogenetic position of the Hexactinellida remain contentious. We determined and analyzed the nearly complete mitochondrial genome sequences of the hexactinellid sponges Iphiteon panicea and Sympagella nux. Unexpectedly, our analysis revealed several mitochondrial genomic features shared between glass sponges and bilaterian animals, including an Arg --> Ser change in the genetic code, a characteristic secondary structure of one of the serine tRNAs, highly derived tRNA and rRNA genes, and the presence of a single large noncoding region. At the same time, glass sponge mtDNA contains atp9, a gene previously found only in the mtDNA of demosponges (among animals), and encodes a tRNA(Pro);(UGG) with an atypical A11-U24 pair that is also found in demosponges and placozoans. Most of our sequence-based phylogenetic analyses place Hexactinellida as the sister group to the Bilateria; however, these results are suspect given accelerated rates of mitochondrial sequence evolution in these groups. Thus, it remains an open question whether shared mitochondrial genomic features in glass sponges and bilaterian animals reflect their close phylogenetic affinity or provide a remarkable example of parallel evolution.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".