CsCuAO1 associated with CsAMADH1 confers drought tolerance by modulating GABA levels in the tea plant
Bibliographic record
Abstract
Our previous study has shown that copper-containing amine oxidase ( CuAO ) and aminoaldehyde dehydrogenase ( AMADH ) could regulate the accumulation of γ-aminobutyric acid (GABA) in tea plants by participating in polyamine degradation pathway. However, the involvement of these genes in drought tolerance has not been underlined. In this study, CsCuAO1 associated with CsAMADH1 confers drought tolerance, which modulates GABA levels in tea plants, was conducted. The results showed that exogenous GABA spraying effectively alleviated the drought induced physical damage. Overexpression Arabidopsis lines of CsCuAO1 and CsAMADH1 exhibited enhanced resistance to drought, which promoted the synthesis of GABA and putrescine, by alerting reactive oxygen species scavenging capacity and stomatal movement. However, suppression of CsCuAO1 or CsAMADH1 in tea plants exhibited increased sensitivity during drought treatment. Moreover, the co-overexpressed plants increased the accumulation of GABA both in the Agrobacterium -mediated Nicotiana benthamiana transient assay and transgenic Arabidopsis plants. In addition, a GABA transporter, CsGAT1 , was identified, whose expression is strongly correlated with GABA accumulation levels in different tissues under drought stress. Taken together, CsCuAO1 and CsAMADH1 were involved in response to drought stress through a dynamic balance between GABA and putrescine. Our data will greatly contribute to the characterization of GABA biological functions in response to environmental stresses in 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".