Spectrum of variations in dog-1/FANCJ and mdf-1/MAD1 defective Caenorhabditis elegans strains after long-term propagation
Bibliographic record
Abstract
BACKGROUND: Whole and partial chromosome losses or gains and structural chromosome changes are hallmarks of human tumors. Guanine-rich DNA, which has a potential to form a G-quadruplex (G4) structure, is particularly vulnerable to changes. In Caenorhabditis elegans, faithful transmission of G-rich DNA is ensured by the DOG-1/FANCJ deadbox helicase. RESULTS: To identify a spectrum of mutations, after long-term propagation, we combined whole genome sequencing (WGS) and oligonucleotide array Comparative Genomic Hybridization (oaCGH) analysis of a C. elegans strain that was propagated, in the absence of DOG-1 and MDF-1/MAD1, for a total of 470 generations, with samples taken for long term storage (by freezing) in generations 170 and 270. We compared the genomes of F170 and F470 strains and identified 94 substitutions, 17 InDels, 3 duplications, and 139 deletions larger than 20 bp. These homozygous variants were predicted to impact 101 protein-coding genes. Phenotypic analysis of this strain revealed remarkable fitness recovery indicating that mutations, which have accumulated in the strain, are not only tolerated but also cooperate to achieve long-term population survival in the absence of DOG-1 and MDF-1. Furthermore, deletions larger than 20 bp were the only variants that frequently occurred in G-rich DNA. We showed that 126 of the possible 954 predicted monoG/C tracts, larger than 14 bp, were deleted in unc-46 mdf-1 such-4; dog-1 F470 (JNC170). CONCLUSIONS: Here, we identified variants that accumulated in C. elegans' genome after long-term propagation in the absence of DOG-1 and MDF-1. We showed that DNA sequences, with G4-forming potential, are vulnerable to deletion-formation in this genetic background.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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".