Rice UBC13, a candidate housekeeping gene, is required for K63-linked polyubiquitination and tolerance to DNA damage
Bibliographic record
Abstract
While plant growth and reproduction is dependent on sunlight, UV irradiation from sunlight is one of the major genotoxic stresses that threaten plant survival and genome stability. In addition, many environmental chemicals can also damage the plant genome. In yeast and mammalian cells protection against the above genome instability is provided by an error-free DNA-damage tolerance (DDT) pathway, which is dependent on Ubc13-mediated K63-linked polyubiquitination of the proliferating cell nuclear antigen (PCNA). In this study, we isolated the UBC13 gene from rice and characterized its functions. Expression of OsUBC13 can protect a yeast ubc13 null mutant against spontaneous and environmental DNA damage. Furthermore, OsUbc13 physically interacts with human Ubc13 partners Mms2 and Uev1A, and catalyzes K63 polyubiquitination in vitro. These observations collectively suggest that the K63 polyubiquitination is conserved in rice, and that OsUBC13 may be involved in DDT and other cellular processes. In addition, OsUBC13 is constitutively expressed at a high level even under various stress conditions, suggesting that it is a housekeeping gene.
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 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) | 0.001 | 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".