Screening and Functional Verification of Poplar Salt Tolerance Genes
Bibliographic record
Abstract
Through transcriptome analysis and functional screening, several key genes were identified and verified for their roles in salt tolerance. Notably, the PeERF1 gene from Populus euphratica was found to significantly enhance salt tolerance when overexpressed in Populus alba × Populus glandulosa . Similarly, the NAC13 gene was shown to improve salt tolerance in transgenic poplar lines. Overexpression of the PtVP1.1 gene in Populus trichocarpa also conferred increased salt tolerance by enhancing ion homeostasis and reactive oxygen species (ROS) scavenging. Additionally, the PsnHDZ63 and PsnMYB108 genes were identified as important regulators of salt stress responses, with their overexpression leading to improved salt tolerance in transgenic poplar and tobacco, respectively. The PtSOS2 gene was another significant finding, with its overexpression resulting in enhanced salt tolerance through improved Na + efflux and ROS scavenging. The identification and functional verification of these genes provide valuable insights into the genetic basis of salt tolerance in poplar. These findings have significant implications for the development of salt-tolerant poplar varieties through genetic engineering, which could be beneficial for forestry and environmental management in saline-affected areas.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.002 | 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".