Transcriptional regulation of annexins in Indian Mustard,<i>Brassica juncea</i>and detoxification of ROS in transgenic tobacco plants constitutively expressing<i>AnnBj1</i>
Bibliographic record
Abstract
Annexins in plants constitute a multigene family and there is growing evidence for their involvement in response to various stress treatments. We have cloned and characterized six different annexin genes from mustard. The transcript regulation of these genes was studied in treatments with various signaling molecules, osmotic stress, oxidative stress conditions and wounding. All these annexins were found to be reponsive to Abscisic acid (ABA). Two genes (AnnBj1 and AnnBj3) were found to respond to most of the stress conditions, which suggest their possible role in cross-talk in multiple signaling pathways. Wound response signal methyl jasmonate (mJA) caused rapid and high expression of AnnBj4. We extended our previous study and showed that transgenic tobacco plants heterologously expressing AnnBj1 evidenced mannitol induced ROS detoxification. These results suggest Brassica annexins may have potential role in alleviating abiotic stress, which should be characterized by in vivo function based studies through silencing by RNAi or overexpression in transgenic plants.
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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".