Agrobacterium-mediated transformation of rough lemon (Citrus jambhiri Lush) with yeast HAL2 gene
Bibliographic record
Abstract
BACKGROUND: Rough lemon (Citrus jambhiri Lush.) is the most commonly used Citrus rootstock in south Asia. It is extremely sensitive to salt stress that decreases the growth and yield of Citrus crops in many areas worldwide. Over expression of the yeast halotolerant gene (HAL2) results in increasing the level of salt tolerance in transgenic plants. RESULTS: Transformation of rough lemon was carried out by using Agrobacterium tumefaciens strains LBA4404 harboring plasmid pJRM17. Transgenic shoots were selected on kanamycin 100 mg L(-1) along with 250 mg L(-1) each of cefotaxime and vancomycin for effective inhibition of Agrobacterium growth. The Murashige and Skoog (MS) medium containing 200 μM acetoseryngone (AS) proved to be the best inoculation and co-cultivation medium for transformation. MS medium supplemented with 3 mg L(-1) of 6-benzylaminopurine (BA) showed maximum regeneration efficiency of the transformed explants. The final selection of the transformed plants was made on the basis of PCR and Southern blot analysis. CONCLUSION: Rough lemon has been successfully transformed via Agrobacterium tumefaciens with β-glucuronidase (GUS) and HAL2. Various factors affecting gene transformation and regeneration efficiency were also investigated.
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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) | 0.001 | 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 | 0.001 |
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".