Genome-wide identification and expression analyses of TCP transcription factor genes in Gossypium barbadense
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
Sea-island cotton (Gossypium barbadense) has drawn great attention in the textile industry for its comprehensive resistance and superior fiber properties. However, the mechanisms involved in fiber growth and development are unclear. As TCP transcription factors play important roles in plant growth and development, this study investigated the TCP family genes in G. barbadense (GbTCP). We identified 75 GbTCP genes, of which 68 had no introns. Phylogenetic analyses categorized the GbTCP transcription factors into 11 groups. Genomic analyses showed that 66 genes are located on 21 chromosomes. Phylogenetic analyses of G. arboreum, G. raimondii, G. hirsutum, G. barbadense, Theobroma cacao, Arabidopsis thaliana, Oryza sativa, Sorghum bicolor, and Zea mays, Picea abies, Sphagnum fallax and Physcomitrella patens, categorized 373 TCP genes into two classes (Classes I and II). By studying the structures of TCP genes in sea-island cotton, we identified genes from the same evolutionary branches that showed similar motif patterns. qRT-PCR results suggested that the GbTCPs had different expression patterns in fibers at various developmental stages of cotton, with several showing specific expression patterns during development. This report helps lay the foundation for future investigations of TCP functions and molecular mechanisms in sea-island cotton fiber development.
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 | 0.001 | 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