Bioinformatics Analysis of Cellulose Synthase <i>CesA</i> Gene from <i>Miscanthus lutarioriparius</i>
Bibliographic record
Abstract
Based on 3 generations transcriptome sequencing technology-PacBio SMRT single-molecule real-time sequencing method, supplemented with 2 generation sequencing method, a complete and accurate unigene library was constructed. After comparing with closely related species, the cellulose synthase gene ( CesA ) 4 , 7 , 9 gene sequences of Miscanthus lutarioriparius were spliced and named as MlCesA4 , MlCesA7 and MlCesA9 . Then, Bioinformatics analysis software was used to construct phylogenetic trees of proteins, to predict and analyze the phosphorylation sites of post-translational modifications of amino acids, and to predict and analyze conserved domains of proteins.The analysis results showed that the sequence lengths of MlCesA 4, 7, 9 genes were 2980 bp, 3310 bp, and 3208 bp, respectively, which were closely related to Sorghum bicolor and Zea mays ; cellulose synthase of Miscanthus lutarioriparius (MlCesA) MlCesA4 and MlCesA9 have 43 phosphorylation sites, MlCesA7 has 48 phosphorylation sites; MlCesA4 is an unstable protein with 6 transmembrane domains, 4 domains are outside the membrane and 3 are inside the membrane.; MlCesA7 and MlCesA9 are stable proteins, both of which have 8 transmembrane domains, 5 domains are outside the membrane and 4 are inside the membrane. The three are all hydrophilic proteins, and the secondary structure is dominated by α-helix and random coils.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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 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".