Functional analysis of the new barley gene HvKu80 indicates that it plays a key role in double-strand DNA break repair and telomere length regulation
Bibliographic record
Abstract
Genotoxic stress causes a reduced stability of the plant genome and has a detrimental effect on plant growth and productivity. Double-strand breaks (DSBs) are the most harmful of all DNA lesions because they cause the loss of genetic information on both strands of the DNA helix. In the presented study the coding and genomic sequences of the HvKu80 gene were determined. A mutational analysis of two fragments of HvKu80 using TILLING (Targeting Induced Local Lesions IN Genomes) allowed 12 mutations to be detected, which resulted in identification of 11 alleles. Multidirectional analyses demonstrated that the HvKu80 gene is involved in the elimination of DSBs in Hordeum vulgare. The barley mutants carrying the identified ku80.c and ku80.j alleles accumulated bleomycin-induced DSBs to a much greater extent than the parent cultivar 'Sebastian'. The altered reaction of the mutants to DSB-inducing agent and the kinetics of DNA repair in these genotypes are associated with a lower expression level of the mutated gene. The study also demonstrated the significant role of the HvKu80 gene in the regulation of telomere length in barley.
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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) | 0.002 | 0.001 |
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".