Mitochondrial Genome Sequence Evolution in Chlamydomonas
Bibliographic record
Abstract
The mitochondrial genomes of the Chlorophyta exhibit significant diversity with respect to gene content and genome compactness; however, quantitative data on the rates of nucleotide substitution in mitochondrial DNA, which might help explain the origin of this diversity, are lacking. To gain insight into the evolutionary forces responsible for mitochondrial genome diversification, we sequenced to near completion the mitochondrial genome of the chlorophyte Chlamydomonas incerta, estimated the evolutionary divergence between Chlamydomonas reinhardtii and C. incerta mitochondrial protein-coding genes and rRNA-coding regions, and compared the relative evolutionary rates in mitochondrial and nuclear genes. Synonymous and nonsynonymous substitution rates do not differ significantly between the mitochondrial and nuclear protein-coding genes. The mitochondrial rRNA-coding regions, however, are evolving much faster than their nuclear counterparts, and this difference might be explained by relaxed functional constraints on the mitochondrial translational apparatus due to the small number of proteins synthesized in Chlamydomonas mitochondria. Substitution rates at synonymous sites in a nonstandard mitochondrial gene (rtl) and at intronic and synonymous sites in nuclear genes expressed at low levels suggest that the mutation rate is similar in these two genetic compartments. Potential evolutionary forces shaping mitochondrial genome evolution in Chlamydomonas are discussed.
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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 | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.000 | 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".