Structure, Transcription, and Variability of Metazoan Mitochondrial Genome: Perspectives from an Unusual Mitochondrial Inheritance System
Bibliographic record
Abstract
Despite its functional conservation, the mitochondrial genome (mtDNA) presents strikingly different features among eukaryotes, such as size, rearrangements, and amount of intergenic regions. Nonadaptive processes such as random genetic drift and mutation rate play a fundamental role in shaping mtDNA: the mitochondrial bottleneck and the number of germ line replications are critical factors, and different patterns of germ line differentiation could be responsible for the mtDNA diversity observed in eukaryotes. Among metazoan, bivalve mollusc mtDNAs show unusual features, like hypervariable gene arrangements, high mutation rates, large amount of intergenic regions, and, in some species, an unique inheritance system, the doubly uniparental inheritance (DUI). The DUI system offers the possibility to study the evolutionary dynamics of mtDNAs that, despite being in the same organism, experience different genetic drift and selective pressures. We used the DUI species Ruditapes philippinarum to study intergenic mtDNA functions, mitochondrial transcription, and polymorphism in gonads. We observed: 1) the presence of conserved functional elements and novel open reading frames (ORFs) that could explain the evolutionary persistence of intergenic regions and may be involved in DUI-specific features; 2) that mtDNA transcription is lineage-specific and independent from the nuclear background; and 3) that male-transmitted and female-transmitted mtDNAs have a similar amount of polymorphism but of different kinds, due to different population size and selection efficiency. Our results are consistent with the hypotheses that mtDNA evolution is strongly dependent on the dynamics of germ line formation, and that the establishment of a male-transmitted mtDNA lineage can increase male fitness through selection on sperm function.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".