The Exosome and Trans-Acting Small Interfering RNAs Regulate Cuticular Wax Biosynthesis during Arabidopsis Inflorescence Stem Development
Bibliographic record
Abstract
The primary aerial surfaces of land plants are covered with a cuticle, a protective layer composed of the cutin polyester matrix and cuticular waxes. Previously, we discovered a unique mechanism of regulating cuticular wax biosynthesis during Arabidopsis (Arabidopsis thaliana) stem elongation that involves ECERIFERUM7 (CER7), a core subunit of the exosome. Because loss-of-function mutations in CER7 result in reduced expression of the wax biosynthetic gene CER3, we proposed that CER7 is involved in degrading a messenger RNA encoding a CER3 repressor. To identify this putative repressor, we performed a cer7 suppressor screen that resulted in the isolation of the posttranscriptional gene-silencing components RNA-DEPENDENT RNA POLYMERASE1 and SUPPRESSOR OF GENE SILENCING3, indicating that small RNAs regulate CER3 expression. To establish the identity of the effector RNA species and determine whether these RNAs control CER3 transcript levels directly, we cloned additional genes identified in our suppressor screen and performed next-generation sequencing of small RNA populations that differentially accumulate in the cer7 mutant in comparison with the wild type. Our results demonstrate that the trans-acting small interfering RNA class of small RNAs are the effector molecules involved in direct silencing of CER3 and that the expression of five additional genes (EARLY RESPONSE TO DEHYDRATION14, AUXIN RESISTANT1, a translation initiation factor SUI1 family protein, and two genes of unknown function) is controlled by both CER7 and trans-acting small interfering RNAs.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.001 | 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) | 0.000 | 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 teacher head, 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".