Mouse oocytes carrying metacentric Robertsonian chromosomes have fewer crossover sites and higher aneuploidy rates than oocytes carrying acrocentric chromosomes alone
Bibliographic record
Abstract
Meiotic homologous recombination during fetal development dictates proper chromosome segregation in adult mammalian oocytes. Successful homologous synapsis and recombination during Meiotic Prophase I (MPI) depends on telomere-led chromosome movement along the nuclear envelope. In mice, all chromosomes are acrocentric, while other mammalian species carry a mixture of acrocentric and metacentric chromosomes. Such differences in telomeric structures may explain the exceptionally low aneuploidy rates in mice. Here, we tested whether the presence of metacentric chromosomes carrying Robertsonian translocations (RbT) affects the rate of homologous recombination or aneuploidy. We found a delay in MPI progression in RbT-carrier vs. wild-type (WT) fetal ovaries. Furthermore, resolution of distal telomere clusters, associated with synapsis initiation, was delayed and centromeric telomere clusters persisted until later MPI substages in RbT-carrier oocytes compared to WT oocytes. When chromosomes fully synapsed, higher percentages of RbT-carrier oocytes harbored at least one chromosome pair lacking MLH1 foci, which indicate crossover sites, compared to WT oocytes. Aneuploidy rates in ovulated eggs were also higher in RbT-carrier females than in WT females. In conclusion, the presence of metacentric chromosomes among acrocentric chromosomes in mouse oocytes delays MPI progression and reduces the efficiency of homologous crossover, resulting in a higher frequency of aneuploidy.
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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) | 0.004 | 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".