Cloning and function analysis of <i>ClNAC9</i> from <i>Chrysanthemum lavandulifolium</i>
Bibliographic record
Abstract
NAC transcription factors have been found to play an important role in several plant development programs and stress responses. In this study, a NAC gene, ClNAC9 (Chrysanthemum lavandulifolium NAC gene), was isolated from a cDNA library constructed according to the known expressed sequence tag sequence. The cDNA full-length sequence of ClNAC9 is comprised of 881 bp, encoding a putative protein of 217 amino acids. ClNAC9 has a conserved NAC domain in the N-terminus — the NAM domain. ClNAC9 is highly similar to other NACs, especially SENU5 subgroup members. Transgenic Arabidopsis overexpressing ClNAC9 controlled by the CaMV-35S promoter was generated and subjected to saline, alkaline, and drought stresses for morphological and physiological assays. Morphological analyses showed that transgenic plants had enhanced tolerance to saline, alkaline, and drought stresses, as indicated by improved physiological traits, including higher superoxide dismutase and peroxidase activities, and reduced malondialdehyde accumulation. Moreover, overexpression of ClNAC9 enhanced up-regulation of RD29A, RD26, MYB2, and MYB96 expression, and reduced HAB1 expression under saline, alkaline, and drought treatments. Taken together, our results demonstrate that ClNAC9 is likely related to saline, alkaline, and drought resistances and overexpression of ClNAC9 increases the saline, alkaline, and drought resistance of transgenic Arabidopsis.
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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 | 0.001 |
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".