Analysis of Codon Usage Bias in the <i>Platycarya</i> Chloroplast Genome
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Bibliographic record
Abstract
To detect the codon usage characteristics of chloroplast genomes in Platycarya genus, the CodonW 、 CUSP and SPSSAU software were employed to analyze the codon usage patterns of the chloroplast genomes protein-coding sequence in Platycarya longipes and Platycarya strobilacea in this research. Results show that the GC content of chloroplast genomes was 37.75% and 37.80%, the average GC content in the 3rd position was 27.16% and 27.25%. the range of effective codon number from 35.19 to 56.98, and there were more than 2/3 genes when ENC value greater than 45, which indicated a weak preference. According to the results of neutrality plot analysis, ENC-plot analysis and PR2-plot analysis, codon bias in most Platycarya chloroplast genes were affected by natural selection, while a few were affected by mutations or other factors. And based on the ENC value, five groups of high-expressed and low-expressed genes were identified, 16 codons were ended with A/U among the 18 optimal codons. The research has implications on codon optimization, enhancing the expression efficiency of exogenous gene and phylogenetic analysis.
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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 | 0.001 |
| 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) | 0.000 | 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