Functional roles of arabidopsis elongin A and C in UV stress tolerance and development
Bibliographic record
Abstract
Elongins A (ELOA), B (ELOB), and C (ELOC) were originally identified in mammals as transcription elongation complex. Beyond this role, the three mammalian elongins function in E3 ligase complex that degrades the large subunit of the stalled RNA polymerase II after DNA damage. S. cerevisiae lacks ELOB but posseses ELOA and ELOC homologs which form a similar E3 ligase complex that performs a comparable function in targeting stalled RNA polymerase II for degradation. These yeast homologs are functionally conserved with their mammalian counterparts, as yeast ELOC enhances mammalian ELOA transcript elongation via interacting with it. However, yeast ELOA/C complex alone does not promote yeast transcriptional elongation. Their role in RNA polymerase II polyubiquitylation and degradation following DNA damage has been well characterized. In this study, we identified Arabidopsis elongin A homologue (ELOA; At2g42780) and examined the roles of ELOA and elongin C homologue (ELOC; At5g59140) in UV tolerance and development using molecular and genetic analyses. YFP-ELOA localized to nucleus and this pattern was not affected after UV treatment. However, YFP-ELOC localized to both nuclei and cytosol with reduced cytoplasmic signal post-UV exposure. Both Ateloa-2 and Ateloc-3 mutants exhibited enhanced UV-sensitive phenotypes in seedlings and adults. ELOA overexpression enhanced hypocotyl UV tolerance. Yeast two-hybrid assay confirmed the interaction between Arabidopsis ELOA and ELOC. Interestingly, ELOA and ELOC overexpression increased silique length and seed number, and ELOC overexpression also increased plant height. These findings demonstrate that Arabidopsis ELOA and ELOC homologs are required for UV tolerance and contribute to plant developmental regulation.
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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) | 0.001 | 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".