Characterization and abiotic stress-responsive expression analysis of <i>SGT1</i> genes in <i>Brassica oleracea</i>
Bibliographic record
Abstract
SGT1 genes are involved in enhancing plant responses to various biotic and abiotic stresses. Brassica oleracea is known to contain two types of SGT1 genes, namely suppressor of G2 allele of SKP1 and suppressor of GCR2. In this study, through systematic analysis, four putative SGT1 genes were identified and characterized in B. oleracea. In phylogenetic analysis, the genes clearly formed separate groups, namely BolSGT1a, BolSGT1b (both suppressor of G2 allele of SKP1 types), and BolSGT1 (suppressor of GCR2). Functional domain analysis and organ-specific expression patterns suggested possible roles for BolSGT1 genes during stress conditions. BolSGT1 genes showed significant changes in expression in response to heat, cold, drought, salt, or ABA treatment. Interaction network analysis supported the expression analysis, and showed that the BolSGT1a and BolSGT1b genes are strongly associated with co-regulators during stress conditions. However, the BolSGT1 gene did not show any strong association. Hence, BolSGT1 might be a stress resistance-related gene that functions without a co-regulator. Our results show that BolSGT1 genes are potential target genes to improve B. oleracea resistance to abiotic stresses such as heat, cold, and salt.
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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".