Glycine betaine biosynthesis genes differentially expressed in sugarcane under water stress Glycine betaine biosynthesis genes differentially expressed in sugarcane under water stress
Bibliographic record
Abstract
Plants have developed a wide range of strategies which allow their survival under abiotic stresses [ 1 ]. One of those mechanisms is the accumulation of compatible solutes, which protect cell structure against damage induced by dehydration and oxidation [ 2 ]. The accumulated compatible solutes may include betaines and related compounds such as sugars and amino acids. Understanding the action mechanism of glycine betaine (GB) and its effects on drought tolerance mechanisms may lead to the development of cultivars adapted to different hydric conditions. In medicinal plants, betaine is synthetized by two enzymes: choline monooxygenase (CMO), and betaine aldehyde dehydrogenase (BADH) [ 3 ]. The present study evaluated gene expression profiles of CMO and BADH genes in sugarcane leaves (Saccharum SP) submitted to three levels of water stress (mild, moderate and severe), using DNA microarrays. Sugarcane plantlets of cultivars SP83-2847 and SP90-1638, considered moderately tolerant and sensitive to water stress, respectively, were cultivated in greenhouse for 60 days in sterilized soil at 26ºC with 56% of humidity. After 2 months, water stress was induced by irrigation suppression. All leaves were collected when water content in the soil was 10%, 50% and 75% respectively, and designated as mild, moderate and severe water stress. Total RNA was extracted using Trizol Reagent (Invitrogen, USA), according to the manufacturer's instructions and used to synthesize a cDNA probe which was used to hybridize nylon membranes containing CMO and BADH genes. Membranes were hybridized, for 18h at 58°C, probe was washed out and filters were exposed to imaging plates (Fujifilm, Japan) for 96 hours. Images were scanned using Phosphorimager FLA3000-G (Fujifilm, Japan), and spots quantified by Array Vision (Imaging Research, Canada). Variation in gene expression levels was obtained by log2 of the ratio of values found for control plants and plants under water stress during different trial periods. Northern Blot was used for validation of the results obtained by the microarray.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 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; both teacher heads agree on what is shown here.
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".