Functional Analysis of <i>Arabidopsis thaliana</i> Galactinol Synthase <i>AtGolS2</i> in Response to Abiotic Stress
Bibliographic record
Abstract
Soil salt-alkalization is one of the adverse factors limiting crop yields. Identification of key salt-alkaline tolerant genes is of great significance for molecular breeding of stress-resistant crops. In this study, a T-DNA insertion Arabidopsis mutant atgols2 showing higher sensitivity to bicarbonate salt-alkaline stress was screened out against NaHCO 3 treatment. Further bioinformatic analysis revealed that the AtGolS2 gene encoded a galactinol synthase, which is a member of the glycosyltransferase family A superfamily. We predicted the protein interaction network of AtGolS2 via SMART online analysis, and found that these AtGolS2 interacting proteins were related to lipid metabolism, galactose biosynthesis and raffinose biosynthesis, and participated in abiotic stress responses. By using the online expression data, we showed that AtGolS2 expression responded to salt, osmotic, drought and ABA stress. PCR amplification by using the three primers method verified the homozygous T-DNA insertion in atgols2. Phenotypic assays further uncovered that atgols2 mutant was more sensitive to high salt, osmotic and ABA stresses than the wild type Arabidopsis. Taken together, results in this study revealed the positive function of AtGolS2 in bicarbonate salt-alkaline, high salt, osmotic and ABA stresses, which will facilitate further research regarding the function and molecular mechanism of the GolS family genes in stress responses.
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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".