Arabidopsis reticulons inhibit ROOT HAIR DEFECTIVE3 to form a stable tubular endoplasmic reticulum network
Bibliographic record
Abstract
The endoplasmic reticulum (ER) is a network of interconnected tubules and sheets stretching throughout the cytoplasm of plant cells. In Arabidopsis (Arabidopsis thaliana), ROOT HAIR DEFECTIVE3 (RHD3) mediates ER tubule fusion, while reticulon proteins induce ER membrane curvature to produce ER tubules. However, it is unclear if and how RHD3-reticulon interplay during the formation of the interconnected tubular ER network. We discovered that RHD3 physically interacts with Arabidopsis reticulon proteins, including reticulon-like protein subfamily B3 (RTNLB3), on ER tubules and at 3-way junctions of the ER. The RTNLB3 protein is widely expressed in Arabidopsis seedlings and localizes to ER tubules. Although the growth of knockout rtnlb3 mutant plants was relatively normal, root hairs of rtnlb3 were shorter than those of wild type. The ER in mature mutant cells was also more sheeted than that in wild type. rhd3 is known to have short roots and root hairs and less branched ER tubules in cells. Interestingly, rtnlb3 genetically antagonizes rhd3 in plant root development and in ER interconnectivity. We show that reticulons including RTNLB3 inhibit the ER fusion activity of RHD3, partly by interfering with RHD3 dimerization. We conclude that reticulon proteins negatively regulate RHD3 to balance its ER fusion activity for the formation of a stable tubular ER network in plant cell growth.
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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) | 0.001 | 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 | 0.001 |
| 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".