Identification of cotton <i>SKP</i>1-like gene <i>GhSKP1</i> and its function in seed germination and taproot growth in tobacco
Bibliographic record
Abstract
Hu, D-L., Chen, Q-Z., Zhang, C-J., Wang, Y., Zhang, B-J. and Tang, C-M. 2013. Identification of cotton SKP 1-like gene GhSKP1 and its function in seed germination and taproot growth in tobacco. Can. J. Plant Sci. 93: 817–825. The SKP1 (S-phase kinase-associated-protein1) protein, a key component of the SCF (SKP1-CUL1-F-box protein) ubiquitin ligase complex, has been reported to play many important roles in many organisms, including regulation of ubiquitin-mediated protein degradation, seed germination, taproot growth and auxin signaling, though no study of this gene in cotton has been performed. In this study, a SKP1 gene was isolated from upland cotton (Gossypium hirsutum L.) using the rapid amplification of cDNA ends (RACE) method and was named Gossypium hirsutum SKP1 (GhSKP1). The cDNA sequence of GhSKP1 was 813 bp containing a 474 bp open reading frame, encoding a protein of 156 amino acids with a predicted molecular weight of 17.63 kDa. The deduced amino acid of GhSKP1 had a conserved SKP1 domain. GhSKP1 expression was tested in all organs of cotton plants, and the strongest expression was observed in stamens and radicles that have actively dividing cells. Overexpression of the full-length GhSKP1 cDNA in tobacco caused delayed seed germination and shortened taproots. Our results suggest that the presence of functional conservation between GhSKP1 and SKP1 in plant developmental processes may exist.
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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 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| 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 | 0.001 |
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".