Identification of candidate genes for the seed coat colour change in a <i>Brachypodium distachyon</i> mutant induced by gamma radiation using whole-genome re-sequencing
Bibliographic record
Abstract
Brachypodium distachyon has been proposed as a model plant for agriculturally important cereal crops such as wheat and barley. Seed coat colour change from brown-red to yellow was observed in a mutant line (142-3) of B. distachyon, which was induced by chronic gamma radiation. In addition, dwarf phenotypes were observed in each of the lines 142-3, 421-2, and 1376-1. To identify causal mutations for the seed coat colour change, the three mutant lines and the wild type were subjected to whole-genome re-sequencing. After removing natural variations, 906, 1057, and 978 DNA polymorphisms were detected in 142-3, 421-2, and 1376-1, respectively. A total of 13 high-risk DNA polymorphisms were identified in mutant 142-3. Based on a comparison with DNA polymorphisms in 421-2 and 1376-1, candidate causal mutations for the seed coat colour change in 142-3 were selected. In the two independent Arabidopsis thaliana lines carrying T-DNA insertions in the AtCHI, seed colour change was observed. We propose a frameshift mutation in BdCHI1 as a causal mutation responsible for seed colour change in 142-3. The DNA polymorphism information for these mutant lines can be utilized for functional genomics in B. distachyon and cereal crops.
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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 | 0.000 | 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) | 0.001 | 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".