SHORT TERM TEMPORAL TRENDS IN GENE EXPRESSION IN SENSITIVE AND TOLERANT SOYBEAN GENOTYPES EXPOSED TO OZONE
Bibliographic record
Abstract
Soybean (Glycine max) is sensitive to O3. My work aimed to identify molecular mechanisms associated with the differential tolerance to O3 among tolerant (Fiskeby III) and sensitive (Mandarin Ottawa) soybean genotypes. Short-term changes in gene expression were investigated using quantitative real-time PCR techniques. Plants were exposed from 9 am to 5 pm at 19.3 + 0.43 ppb or 63.6 + 0.43 ppb O3. A single leaflet was collected just prior to exposure, and at 1, 2, 4, 8, 12, 24, and 48 hours post-exposure, and frozen in liquid N2 until processing. Gas exchange measurements were made on each plant at the end of the exposures to determine if there were changes due to O3 exposure and/or genotype. Photosynthetic rate was not significantly different between the treatments or genotypes, but stomatal conductance was higher in Mandarin than Fiskeby under both O3 conditions. Glutathione reductase 2 (GR2) expression in both genotypes was upregulated under high O3 treatment. Protein D1 (pD1) expression was downregulated in Mandarin but not affected in Fiskeby III, maybe due to the larger gs in Mandarin and subsequently higher dose. An improved understanding of the molecular factors influencing O3 sensitivity could help guide breeders to develop O3 tolerant genotypes.
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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".