Seasonal patterns of callose deposition and xylem embolism in five boreal deciduous tree species
Bibliographic record
Abstract
PREMISE: Phloem tissue allows for sugar transport along the entirety of a plant and, thus, is one of the most important anatomical structures related to growth. It is thought that the sugar-conducting sieve tube may overwinter and that its cells persist multiple seasons in deciduous trees. One possible overwintering strategy is to build up callose on phloem sieve plates to temporarily cease their function. We tested the hypothesis that five deciduous tree species produce callose on their sieve plates on a seasonal basis. METHODS: Young shoots of five deciduous tree species were sampled periodically between April 2019 and February 2020 in Edmonton, Alberta, Canada. After enzymatic digestion of cytoplasmic constituents, cross sections were imaged using scanning electron microscopy to observe and quantify the level of callose deposition at monthly intervals, and sieve plate pore size was measured. Using a conductivity apparatus, we measured xylem native embolism during these sampling periods. RESULTS: Contrary to past work on some of the same species, we found little evidence that sieve tubes overwinter by becoming occluded with callose. Instead, we found that most sieve plates remain open. Xylem embolism was minimal during the peak growing season, but increased over winter. CONCLUSIONS: Many species had been assumed to deposit callose on sieve plates over winter, though anatomical and phenological phloem data were sparse. Our data do not support this notion.
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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 | 0.001 | 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) | 0.000 | 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 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".