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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".