Genome-wide characterization, identification, and expression analysis of the WD40 protein family in cotton
Bibliographic record
Abstract
WD40 repeat proteins are largely distributed across the plant kingdom and play an important role in diverse biological activities. In this work, we performed genome-wide identification, characterization, and expression level analysis of WD40 genes in cotton. A total of 579, 318, and 313 WD40 genes were found in Gossypium hirsutum, G. arboreum, and G. raimondii, respectively. Based on phylogenetic tree analyses, WD40 genes were divided into 11 groups with high similarities in exon/intron features and protein domains within the group. Expression analysis of WD40 genes showed differential expression at different stages of cotton fiber development (0 and 8 DPA) and cotton stem. A number of miRNAs were identified to target WD40 genes that are significantly involved in cotton fiber development during the initiation and elongation stages. These include miR156, miR160, miR162, miR164, miR166, miR167, miR169, miR171, miR172, miR393, miR396, miR398, miR2950, and miR7505. The findings provide a stronger indication of WD40 gene function and their involvement in the regulation of cotton fiber development during the initiation and elongation stages.
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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 | 0.001 | 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 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".