Cloning and Primary Functional Analysis of <i>PeGRF1</i> in <i>Phyllostachys edulis</i>
Bibliographic record
Abstract
To explore the role of Growth regulating-factor (GRF) in the growth of bamboo shoots, one GRF gene was isolated from moso bamboo ( Phyllostachys edulis ) by RT-PCR. Bioinformatics methods were used for gene sequence analysis, and the expression pattern of the GRF gene in bamboo shoots at different development stages was analyzed by qRT-PCR. Simultaneously, ectopic expression in Arabidopsis was conducted to validate the gene function. The result showed that the isolated gene from moso bamboo was 1 164 bp, encoding 387 amino acids, which was named as PeGRF1 . Protein sequence analysis showed that PeGRF1 had the complete typical domains (WRC and QLQ) of GRF family. The phylogenetic analysis demonstrated that PeGRF1 were clustered closer to the GRFs of monocotyledonous plants such as Oryza sativa , indicating they had close relationship. PeGRF1 expressed predominantly in young bamboo shoots. Meanwhile, the expression level of PeGRF1 was significantly higher during rapid growth stage than that during slow growth stage of bamboo shoots, and the expression level of PeGRF1 in the upper and middle of bamboo shoots was significantly higher than that in the base. Overexpression of PeGRF1 could increase the plant height of transgenic Arabidopsis . Taken together, our results demonstrated that PeGRF1 was involved in development of bamboo shoots, which provided references for elucidating the biological functions of GRF genes in bamboo.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.003 |
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".