Comprehensive analysis of the homeodomain-leucine zipper IV transcription factor family in<i>Cucumis sativus</i>
Bibliographic record
Abstract
The class IV homeodomain-leucine zipper (HD-Zip IV) proteins are plant-specific transcriptional factors known to play crucial roles in plant growth and development. In this study, 11 cucumber (Cucumis sativus) HD-Zip IV genes were identified in the version 2 cucumber genome and found to be distributed unevenly across the chromosomes. The CsHDZIV (Cucumis sativus homeodomain-leucine zipper IV) gene family is smaller than in other studied species (except for rice) because of the absence of gene duplication events. Phylogenetic analysis showed that HD-Zip IV genes from cucumber, Arabidopsis, tomato, cotton, maize, and rice could be classified into five subgroups. All CsHDZIV genes appear to be derived from a basic module containing 11 exons in the coding region. Two conserved motifs of 21 and 19 nucleotides were found in the 3'-untranslated regions of six CsHDZIV genes, suggesting that post-transcriptional regulation may play a role in regulation of CsHDZIV genes. In addition, 6 of 11 CsHDZIV genes were found to undergo alternative splicing events. Reverse transcription PCR analysis showed that all CsHDZIV genes (except one) were expressed and showed preferential expression in reproductive organs.
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 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 | 0.000 | 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) | 0.001 | 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 teacher head, 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".