Genome-wide identification and expression analysis of the SPL gene family in woodland strawberry <i>Fragaria vesca</i>
Bibliographic record
Abstract
SQUAMOSA promoter-binding protein-like (SPL) is a class of plant-specific transcription factors that play critical roles in regulating plant growth and development. However, little systematic research on SPL genes has been conducted in strawberry. In this study, 14 SPL genes were identified in the genome of woodland strawberry (Fragaria vesca), one of the model plants of the family Rosaceae. Chromosome localization analysis indicated that the 14 FvSPL genes were unevenly distributed on six chromosomes. Phylogenetic analysis indicated that the FvSPL proteins could be clustered into six groups (G1 to G6). Genes with similar structure were classified into the same group, implying their functional redundancy. In addition, nine out of the 14 FvSPL genes, belonging to G1, G2, and G5, were found to be the putative targets of FvmiR156 genes. Expression analysis indicated FvSPL genes exhibited highly diverse expression patterns in the tissues and organs examined. The transcript levels of most FvmiR156-targeted FvSPL genes in fruit were lower than those non-miR156-targeted genes. In addition, the expression of the FvmiR156-targeted FvSPL genes decreased during fruit ripening, whereas the expression of FvmiR156 genes increased in fruit during this process. The results provide a foundation for future functional analysis of FvSPL genes in strawberry growth and 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.
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 | 0.000 | 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 | 0.000 |
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".