Gene Characterization and Protein Expression Analysis of LsARF2 in Lettuce (Lactuca sativa L.) Under High Temperature
Bibliographic record
Abstract
In this study, our objective is to investigate the gene characteristics of LsARF2, an auxin response factor in leaf lettuce, and analyze how its protein expression responds to high temperature. To achieve this, we cloned the LsARF2 gene and utilized subcellular localization and yeast one-hybrid assays to determine its subcellular location and transcriptional activity. Subsequently, Western blot analysis was employed to track the protein expression pattern of LsARF2. The findings unveiled that the coding sequence of the LsARF2 gene spans 2196 base pairs, encoding 731 amino acids. Although LsARF2 was found localized in the cell nucleus, it demonstrated no transcriptional activation activity. Remarkably, the protein expression of LsARF2 exhibited a noticeable downward trend when subjected to elevated temperatures. Our research underscores the substantial impact of elevated temperatures on the protein expression of LsARF2 in leaf lettuce. The responsiveness of LsARF2 protein expression to high-temperature stress suggests its pivotal role in bolting. Further investigation through transgenic methods will be essential to conclusively elucidate its precise function. Additionally, following exogenous hormone treatment, the shifting expression pattern of LsARF2 implies its potential responsiveness to both GA3 and IAA. Moreover, it exerts an influence on the floral development of lettuce.
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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".