Length, orientation, and plant host influence the mutation frequency in microsatellites
Bibliographic record
Abstract
Microsatellites are simple, tandem DNA repeats that represent unstable regions of the genome. They undergo frequent changes in tract length by base additions or deletions due to DNA polymerase slippage during replication. To characterize factors affecting the frequency of spontaneous mutations occurring in microsatellites in plants, a reporter system was used in Arabidopsis thaliana and tomato (Lycopersicon esculentum). The beta-glucuronidase (GUS) reporter system was used to measure the mutation frequency in various microsatellites (G(7), G(10), G(13), G(16), and C(16)) in somatic tissues. Our results indicate that this frequency increases with the number of repeats: a G(16) tract was almost 80-fold more mutable than a G(7) tract. Furthermore, the frequency of mutations depends on repeat orientation, as G(16) was 3-fold more mutable than C(16). The mutation rate was also found to differ markedly in Arabidopsis and tomato for an identical microsatellite. Indeed, Arabidopsis showed a 5-fold higher mutation frequency than tomato with the same G(7) reporter construct. Finally, mutation in a G(16) tract was frequent enough that mutations transmitted germinally to the next generation could be detected at a relatively high frequency.
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".