Transcriptome Profiling of Lisianthus (<i>Eustoma grandiflorum</i>) under Drought Stress
Bibliographic record
Abstract
Lisianthus ( Eustoma grandiflorum ) is an important ornamental plant native to North America. So far, the number of basic molecular research reports on Lisianthus is relatively small, especially the research related to the molecular mechanism of response to drought stress. In this experiment, transcriptome second-generation sequencing technology was used to study Lisianthus seedlings under drought stress. The results showed that the transcriptome sequencing data had good quality control results. In order to obtain genetic information on this basis, the sequences were spliced using software such as Trinity and Corset, a total of 102,014 non-redundant genes were obtained, including 2,929 coding genes which were found to belong to 79 transcription factor families after analyzing. Annotating all genes, Zhongguo coffee was found to be the species with the highest comparison similarity. Finally, simple sequence repeat (SSR) analysis was performed on the gene sequences, and all SSR information contained in non-redundant genes and transcription factor coding genes had been obtained. The results of this study can provide candidate molecular resources for subsequent studies on Lisianthus 's response to drought stress in the future.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".