Genome-wide Identification and Expression Pattern Analysis of Wheat CCT Genes Family
Bibliographic record
Abstract
CCT genes family is widely present in plants and play vital roles in plant growth and development. Bioinformation methods were used to identify the TaCCT genes at genome-wide level, a total of 80 TaCCT genes were identified. The gene structure, phylogenetic relationship, cis -elements, chromosome location and expression patterns were analyzed. Results showed that 80 TaCCT genes were unevenly distributed on wheat chromosomes, and there were 28, 24, and 28 CCT genes were distributed in A, B, and D sub-genomes respectively. Phylogenetic analysis showed that TaCCT genes could be divided into three sub-families, namely COL, CMF, and PRR, which were belonged to 13 sub-groups. Gene structure and conserved motif analysis found that the gene structure and conserved domains of the same subgroup were basically the same. Cis -acting element analysis found that a total of 16 kinds of cis -acting elements were identified in the promoter region of TaCCT genes. Gene duplication analysis showed that 60 gene pairs were formed by 64 TaCCT genes, indicated that duplication and expansion occurred during the process of evolution. Expression patterns analysis showed that the TaCCT genes were differentially expressed under different tissues and different stress conditions, indicating that the TaCCT genes played an important role in wheat growth and development, as well as in response to abiotic stress. These findings provide a theoretical basis for further research on wheat CCT genes.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".