Vegetative storage protein expression during terminal bud formation in poplar
Bibliographic record
Abstract
Trees recycle nitrogen (N) to conserve this valuable nutrient. The processes that regulate N recycling within trees are poorly understood at the molecular level. Because vegetative storage proteins (VSPs) are thought to play important roles in within-plant N cycling, we are investigating the expression of VSP genes to gain insights into how seasonally controlled N cycling is regulated in trees. We compared steady-state mRNA levels of three different VSP homologs during short day induced terminal bud formation in hybrid poplar (Populus trichocarpa Torr. & Gray × Populus deltoides Bartr. ex Marsh.) WIN4 (wound-inducible protein 4), BSP (bark storage protein), and pni288 (poplar nitrogen-regulated cDNA 288, a newly identified sequence). We determined that win4 and pni288 transcripts decrease, while bsp transcripts increase, as the terminal bud is formed. Immunolocalization analysis indicated that, during apical bud formation, BSP accumulates in the ground meristem and in parenchyma cells adjacent to xylem and proximal to the apical dome. Based on messenger RNA and protein expression analysis, we conclude that different VSPs play distinct roles in the poplar shoot apex, with BSP accumulating as a reserve near the shoot apex during terminal bud formation.
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 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) | 0.000 | 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".