Overexpression of <i>TaBADH</i> increases salt tolerance in <i>Arabidopsis</i>
Bibliographic record
Abstract
Soil salinization is an important threat to wheat growth and production. Previous transcriptome analysis showed that the expression of the betaine aldehyde dehydrogenase (BADH) gene differed significantly between cultivars with strong or weak salinity tolerance. Herein, the BADH gene from the wheat cultivar Dongnongdongmai 1 was cloned and transformed into wild-type Arabidopsis to identify its function in salt tolerance. Root length was calculated at 0, 50, 100, 150, and 200 mmol L−1 NaCl for 7 d. The relative electrolytic leakage (REL), GB content, and BADH activity were measured at 150 mmol L−1 NaCl for 1 and 3 d. It was determined that BADH activity and the GB content of TaBADH-overexpressed transgenic (TaBADHOE) lines were significantly higher than in wild-type lines. Salt stress analysis showed that the root length of TaBADHOE lines 4, 18, and 19 were 0.44, 0.54, and 0.35 cm, respectively, which were significantly longer than the 0.24 cm roots of the wild-type line in the media containing 150 mmol L−1 NaCl for 7 d. In addition, the RELs of transgenic lines 4, 18, and 19 were 0.37, 0.33, and 0.42, respectively, which is significantly lower than the 0.63 of the wild-type line in media containing 150 mmol L−1 NaCl for 3 d. These results demonstrate that TaBADH significantly increased plant salt tolerance, indicating that genetic transformation of TaBADH may be an effective and sustainable breeding method for increasing salt tolerance in wheat cultivars.
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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 | 0.001 |
| 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".