Up‐regulation of sucrose synthase and UDP‐glucose pyrophosphorylase impacts plant growth and metabolism
Bibliographic record
Abstract
The effects of the overexpression of sucrose synthase (SuSy) and UDP-glucose pyrophosphorylase (UGPase) on plant growth and metabolism were evaluated in tobacco (Nicotiana tabacum cv. Xanthi). T(1) transgenic plants expressing either gene under the control of a tandem repeat cauliflower mosaic virus 35S promoter (2x35S) or a xylem-localized 4CL promoter (4-coumarate:CoA ligase; 4CL) were generated, and reciprocally crossed to generate plants expressing both genes. Transcript levels, enzyme activity, growth parameters, fibre properties and carbohydrate content of stem tissue were quantified. The expression profiles of both genes confirmed the expression pattern of the promoters: 2x35S expressed more strongly in leaves, while 4CL expression was highest in stem tissue. In-depth plant characterization revealed that the single-transgene lines showed significant increases in the height growth compared with corresponding control lines. The double-transgene plants demonstrated an additive effect, proving to be even taller than the single-transgene parents. Several of these lines had associated increases in soluble sugar content. Although partitioning of storage carbohydrates into starch or cellulose was not observed, the increased height growth and increases in soluble carbohydrates suggest a role for SuSy as a marker in sink strength and lend credit to the function of UGPase in a similar role. The up-regulation of these two genes, although not increasing the percentage cellulose content, was effective in increasing the total biomass, and thus the overall cellulose yield, from a given plant.
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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 | 0.001 |
| 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".