Cortical microtubules optimize cell‐wall crystallinity to drive unidirectional growth in Arabidopsis
Bibliographic record
Abstract
The shape of plants depends on cellulose, a biopolymer that self-assembles into crystalline, inextensible microfibrils (CMFs) upon synthesis at the plasma membrane by multi-enzyme cellulose synthase complexes (CSCs). CSCs are displaced in directions predicted by underlying parallel arrays of cortical microtubules, but CMFs remain transverse in cells that have lost the ability to expand unidirectionally as a result of disrupted microtubules. These conflicting findings suggest that microtubules are important for some physico-chemical property of cellulose that maintains wall integrity. Using X-ray diffraction, we demonstrate that abundant microtubules enable a decrease in the degree of wall crystallinity during rapid growth at high temperatures. Reduced microtubule polymer mass in the mor1-1 mutant at high temperatures is associated with failure of crystallinity to decrease and a loss of unidirectional expansion. Promotion of microtubule bundling by over-expressing the RIC1 microtubule-associated protein reduced the degree of crystallinity. Using live-cell imaging, we detected an increase in the proportion of CSCs that track in microtubule-free domains in mor1-1, and an increase in the CSC velocity. These results suggest that microtubule domains affect glucan chain crystallization during unidirectional cell expansion. Microtubule disruption had no obvious effect on the orientation of CMFs in dark-grown hypocotyl cells. CMFs at the outer face of the hypocotyl epidermal cells had highly variable orientation, in contrast to the transverse CMFs on the radial and inner periclinal walls. This suggests that the outer epidermal mechanical properties are relatively isotropic, and that axial expansion is largely dependent on the inner tissue layers.
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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".