The effect of reduced glutathione on morphology and gene expression of white spruce (Picea glauca) somatic embryos
Bibliographic record
Abstract
Inclusions of reduced glutathione (GSH) in the maturation medium increased the conversion frequency of white spruce somatic embryos without the need of a partial drying treatment (PDT). This beneficial effect was the result of major alterations in morphology and gene expression during the maturation period. Compared with control embryos, GSH-treated embryos showed a differential accumulation of storage products, i.e. preferential deposition of starch, the reduced formation of protein bodies, and increased vacuolation of cells. These morphological changes correlated with extensive alterations of gene expression occurring throughout the maturation period. The transcript profiles of stage-specific embryos matured with or without GSH were analysed using a DNA microarray containing 2 178 cDNAs from loblolly pine (Pinus taeda). The efficiency of heterologous hybridization between spruce and pine species on microarrays has previously been documented. The results indicate that several genes involved in a variety of signal regulatory pathways were differentially expressed in developing GSH- treated embryos. The transcript levels of many genes involved in carbohydrate metabolism and protein synthesis were altered by the presence of GSH and denoted differences in physiology between treatments. Extensive changes in the expression of genes participating in hormone synthesis, nucleotide metabolism, and meristem formation were also observed and related to the post-embryonic performance of the embryos.
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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) | 0.000 | 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".