Unique mitochondrial genome architecture in unicellular relatives of animals
Bibliographic record
Abstract
Animal mtDNAs are typically small (approximately 16 kbp), circular-mapping molecules that encode 37 or fewer tightly packed genes. Here we investigate whether similarly compact mitochondrial genomes are also present in the closest unicellular relatives of animals, i.e., choanoflagellate and ichthyosporean protists. We find that the gene content and architecture of the mitochondrial genomes of the choanoflagellate Monosiga brevicollis, the ichthyosporean Amoebidium parasiticum, and Metazoa are radically different from one another. The circular-mapping choanoflagellate mtDNA with its long intergenic regions is four times as large and contains two times as many protein genes as do animal mtDNAs, whereas the ichthyosporean mitochondrial genome totals >200 kbp and consists of several hundred linear chromosomes that share elaborate terminal-specific sequence patterns. The highly peculiar organization of the ichthyosporean mtDNA raises questions about the mechanism of mitochondrial genome replication and chromosome segregation during cell division in this organism. Considering that the closest unicellular relatives of animals possess large, spacious, gene-rich mtDNAs, we posit that the distinct compaction characteristic of metazoan mitochondrial genomes occurred simultaneously with the emergence of a multicellular body plan in the animal lineage.
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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 | 0.000 | 0.000 |
| 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) | 0.001 | 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".