Mitochondrial Genomes of Two Demosponges Provide Insights into An Early Stage of Animal Evolution
Bibliographic record
Abstract
Mitochondrial DNA (mtDNA) of multicellular animals (Metazoa) is typically a small ( approximately 16 kbp), circular-mapping molecule that encodes 37 tightly packed genes. The structures of mtDNA-encoded transfer RNAs (tRNAs) and ribosomal RNAs (rRNAs) are usually highly unorthodox, and proteins are translated with multiple deviations from the standard genetic code. In contrast, mtDNA of the choanoflagellate Monosiga brevicollis, the closest unicellular relative of animals, is four times larger, contains 1.5 times as many genes, and lacks mentioned peculiarities of animal mtDNA. To investigate the evolutionary transition that led to the specific organization of metazoan mtDNA, we determined complete mitochondrial sequences from the demosponges Geodia neptuni and Tethya actinia, two representatives of the most basal animal phylum, the Porifera. We found that poriferan mtDNAs resemble those of other animals in their compact organization, lack of introns, and a well-conserved animal-like gene order. Yet, they contain several extra genes, encode bacterial-like rRNAs and tRNAs, and use a minimally derived genetic code. Our findings suggest that the evolution of the typical metazoan mtDNA has been a multistep process in which the compact genome organization and the reduced gene content were established prior to the reduction of tRNA and rRNA structures and the introduction of multiple changes of the translation code.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".