Combined analysis and miRNA expression profiles of the flowering related genes in common wild rice (oryza rufipogon Griff.)
Why this work is in the frame
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Bibliographic record
Abstract
Common wild rice (Oryza rufipogon Griff.) is the most closely related ancestral species to Asian cultivated rice (Oryza sativa L.). It contains various valuable traits with regard to tolerance to cold, drought and salinity, flowering diversity and many quantitative trait loci with agronomic important traits. Flowering is one of the most important agronomic traits. However, flowering-related transcriptome and how to be regulated by miRNAs have not been estimated in O.rufipogon. To identify how the genes and miRNAs regulating flowering in O.rufipogon. Three O.rufipogon RNA libraries, two vegetative stages (CWRT-V1 and CWRT-V2) and one flowering stage (CWRT-F2) were constructed using leaves tissue and sequenced using Illumina deep sequencing. 27,405, 27,333, 28,979 unique genes were obtained after mapping to the reference genome from CWRT-V1, CWRT-V2 and CWRT-F2, respectively. Then differentially expressed genes (DEGs) were screened and got 1419 unique genes are likely to involve in flower development. Detailed information showed that MADS box and floral meristem identity genes, such as MADS 1, MADS14, Hd1 are involved in common wild rice. Then, combined analysis of miRNA and mRNA expression profiles was performed. Twenty three known miRNA-mRNA pairs and five new candidates were presented an anti-correlationship. Interestingly, 12 miRNAs were negatively correlated with 20 mRNAs encoding flowering-related proteins, indicating that miRNAs regulated target genes to promote flowering in CWRT-F2 group. The results provided here genomic resources for flowering related genes and how these flowering genes were regulated by miRNAs in common wild rice.
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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) | 0.000 | 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