Seasonal and spatial variation in carbohydrate content, gene transcription and protein content for key enzymes of carbohydrate metabolism in poplar xylem
Bibliographic record
Abstract
The goal of this study was to determine seasonal and spatial correlation between the carbohydrate levels and gene transcripts of key enzymes involved in carbohydrate metabolism in Populus deltoides xylem and twigs and Populus balsamifera twigs. The seasonal and spatial patterns in the carbohydrate variation was found to be consistent with the need to regulate starch storage so that it does not compete with xylem growth and yet can serve as a reserve for bud growth in the spring in both the species. In the twigs of balsam poplar, a decline in starch during spring was observed to be associated with a lower transcript level for a key enzyme in starch synthesis than when starch levels were high. Low sucrose content was preceded by a low transcript level for a key sucrose synthesis enzyme. Transcripts for sucrose synthase that degrades sucrose for growth processes of the vascular cambium were highest during the summer. However, the transcript level for β-amylase, an enzyme of starch degradation, was not always consistent with starch content. The growth and correlations observed with balsam poplar did not show good synchronization with the environment of Lubbock which could be due to a high degree of variation in the environment relative to its native region, Canada. The growth rings of P.deltoides showed high starch levels in the innermost ring and the starch levels decreased towards the outermost ring. Transcripts for the enzymes showed a positive correlation with that of carbohydrate levels. Since the storage of carbohydrate competes with the developing xylem of the stem via the activity of the vascular cambium during the growing season, regulation was expected. Accordingly, the correlations between the carbohydrates, gene transcripts and protein content of the enzymes were stumpy. Whether the transcript levels of these enzymes are being affected by the regulation of small interfering RNAs was studied by other researchers and it was found that certain miRNAs were discovered to target SPS and SuSy gene transcripts. The eastern cottonwood which originally belonged to north Indiana did grow along well with the environmental changes in Lubbock.
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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".