Sugarcane Pan-Transcriptome Identifying a Master Gene <i>ScHCT</i> Regulating Lignin and Sugar Traits
Why this work is in the frame
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Bibliographic record
Abstract
Sugarcane has the most complex polyploid genome in the world, and sugar-related traits are one of the most important aims in sugarcane breeding. It is essential to construct a representative pan-transcriptome that contains all transcripts of a species for studies on genetic diversity, population expression, and omics analyses in sugarcane. In this study, we constructed the first comprehensive pan-transcriptome for sugarcane, and 8434 highly reliable open reading frames were found, which were not aligned with any published sugarcane genome. The core and dispensable gene clusters, as well as high- and low-expression gene clusters of the pan-transcriptome, were identified and analyzed. The integration of two sugar content differential transcriptome data revealed nine key candidate genes, including the ScHCT gene, encoding a crucial enzyme for lignin synthesis. Furthermore, the function of the ScHCT gene was validated in Arabidopsis, which was negatively correlated with sugar content and positively correlated with lignin content. The interaction protein of ScHCT, ScABH, was screened via a yeast two-hybrid assay and further validated by point-to-point Y2H and bimolecular fluorescence complementation assays. The phenotype of the Arabidopsis abh mutant line revealed that loss of function of ABH resulted in a decrease of sucrose content in stem tissue. This study provides important reference information and genetic resources for sugarcane research and varietal improvement.
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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 | 0.000 |
| 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) | 0.000 | 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