A xyloglucan-induced increase in lettuce germination and seedling elongation is not related to the degradation of the exogenous xyloglucan
Bibliographic record
Abstract
Xyloglucans are the main hemicellulosic polysaccharides found in the primary cell walls of dicots and nongraminaceous monocots. Although xyloglucans are building blocks used in plant cell wall assembly, the function of these molecules in the structure and growth of the primary cell wall remains poorly understood. In this study, we demonstrate that treatment of lettuce seeds with a xyloglucan extracted from cotyledons of Hymenaea courbaril L. (Leguminosae (Fabaceae) – Caesalpinioideae) in the 0.1 to 10 nmol·L−1 range resulted in significantly increased germination percentage. In addition, lettuce seedlings grown in the presence of 500 nmol·L−1 xyloglucan presented a significantly larger length compared with seedlings grown in the absence of xyloglucan. Furthermore, the H. courbaril xyloglucan was not able to reverse a 2,4-dichlorophenoxy acetic acid induced inhibition of seedling elongation. High performance size exclusion chromatography (HPSEC) and high-performance liquid chromatography (HPLC) analyses indicated that the xyloglucan-induced enhancement of germination percentage and seedling elongation in lettuce does not rely on the release of monomers, i.e., glucose, xylose, and galactose from the exogenous xyloglucan.
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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) | 0.001 | 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".