Identification and Expression Characteristic Analysis of CML Gene Family of Melon
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Calmodulin-like ( CML ) is one of the important Ca 2+ sensors, which plays an important role in plant growth and development and stress response. In this study, melon ( Cucumismelo L.) genomic data was used to identify the melon CML protein family using bioinformatics methods, and its physical and chemical properties, location information, gene structure, phylogeny, and promoter were analyzed. The results showed that 60 CmCML protein genes were identified in the melon genomic data, containing 1~4 EF-hand domains, which were unevenly distributed on 12 chromosomes. By analyzing the evolutionary treewith Arabidopsis CMLs , CmCML could It is divided into 8 groups, and the number of various groups is different. It has certain similarities with other plant CML family genes in group classification. In the promoter analysis, abscisic acid, jasmonic acid, auxin, and gibberellin were identified. And drought, low temperature, mechanical damage and other signal response homeopathic elements. Real-time fluorescence quantitative results showed that gene expression of melon CML protein family was induced by the specialization of Fusarium oxysporum, these results predicted that the transcriptional regulation of melon CML protein family may participate in the resistance response of melon wilt, which is the gene family. The functional identification of each member laid a theoretical foundation.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 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) | 0.000 | 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 it