Germline Transmission of Mitochondrial DNA in the Mouse.
Bibliographic record
Abstract
In mammals, mitochondria and mitochondrial DNA (mtDNA) are transmitted through the female germline. Mature oocytes contain nearly 200,000 copies of mtDNA, organized at 1-2 copies per organelle. Despite the high genome copy number, mtDNA sequence variants are observed to segregate rapidly between generations, and this has led to the concept of a genetic bottleneck for the transmission of mtDNA. Here, we demonstrate that a subgroup of replicating genomes in the early post-natal ovary is responsible for the rapid segregation of mtDNA and show that the rate of segregation of mtDNA can be accelerated when mtDNA copy number is further reduced in heteroplasmic germline-specific knockout mouse models, yet very extreme reductions in germ cell mtDNA content seem to cause female-specific infertility. Low copy number embryos can be fertilized and proceed through preimplantation development yet fail to develop normally after implantation. Tracking the developmental outcome of embryos containing a range of mtDNAs points to a developmental threshold of about 50,000 copies of mtDNA in the oocyte Thus, we advance the hypothesis that the large number of mitochondria and mtDNAs present in the oocyte represent a genetic mechanism to ensure their distribution to the gametes and somatic cells of the next generation. If true, mtDNA copy number may be the most important determinant of oocyte quality not because of the effects on oocyte metabolism, but because too few would result in a maldistribution in the embryo. (platform)
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 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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".