Sugarcane calcineurin B-like (CBL) genes play important but versatile roles in regulation of responses to biotic and abiotic stresses
Bibliographic record
Abstract
Abstract Free calcium ions are common second messengers in plant cells. The calcineurin B-like protein (CBL) is a special calcium sensor that plays an important role in plant growth and stress response. In this study, we obtained three CBL genes (GenBank accession nos. KX013374, KX013375, and KX013376) from sugarcane variety ROC22. The open reading frames of ScCBL genes ranged from 642 to 678 base pairs in length and encoded polypeptides from 213 to 225 amino acids in length. ScCBL2-1, ScCBL3-1, and ScCBL4 were all located in the plasma membrane and cytoplasm. ScCBL2-1 and ScCBL3-1 expression was up-regulated by treatment with salicylic acid (SA), methyl jasmonate (MeJA), hydrogen peroxide (H2O2), polyethylene glycol (PEG), sodium chloride (NaCl), or copper chloride (CuCl2). ScCBL4 expression was down-regulated in response to all of these stresses (abscisic acid (ABA), SA, MeJA, and NaCl) except for H2O2, calcium chloride (CaCl2), PEG, and CuCl2. Expression in Escherichia coli BL21 cells showed that ScCBLs can enhance tolerance to NaCl or copper stress. Overexpression of ScCBLs in Nicotiana benthamiana leaves promoted their resistance to infection with the tobacco pathogen Ralstonia solanacearum. The results from the present study facilitate further research regarding ScCBL genes, and in particular, their roles in the response to various stresses in sugarcane.
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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 | 0.001 | 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".