<i>DDB2</i>, <i>DDB1A</i> and <i>DET1</i> Exhibit Complex Interactions During Arabidopsis Development
Bibliographic record
Abstract
Damaged DNA-binding proteins 1 and 2 (DDB1 and DDB2) are subunits of the damaged DNA-binding protein complex (DDB). DDB1 is also found in the same complex as DE-ETIOLATED 1 (DET1), a negative regulator of light-mediated responses in plants. Arabidopsis has two DDB1 homologs, DDB1A and DDB1B. ddb1a single mutants have no visible phenotype while ddb1b mutants are lethal. We have identified a partial loss-of-function allele of DDB2. To understand the genetic interaction among DDB2, DDB1A, and DET1 during Arabidopsis light signaling, we generated single, double, and triple mutants. det1 ddb2 partially enhances the short hypocotyl and suppresses the high anthocyanin content of dark-grown det1 and suppresses the low chlorophyll content, early flowering time (days), and small rosette diameter of light-grown det1. No significant differences were observed between det1 ddb1a and det1 ddb1a ddb2 in rosette diameter, dark hypocotyl length, and anthocyanin content, suggesting that these are DDB1A-dependent phenotypes. In contrast, det1 ddb1a ddb2 showed higher chlorophyll content and later flowering time than det1 ddb1a, indicating that these are DDB1A-independent phenotypes. We propose that the DDB1A-dependent phenotypes indicate a competition between DDB2- and DET1-containing complexes for available DDB1A, while, for DDB1A-independent phenotypes, DDB1B is able to fulfill this role.
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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".