Multi-omics analysis reveals tissue-specific biosynthesis and accumulation of diterpene alkaloids in Aconitum japonicum
Why this work is in the frame
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Bibliographic record
Abstract
Aconitum japonicum, native to the mountainous regions of Japan, is a toxic perennial plant widely recognized for its therapeutic potential. Despite its pharmacological importance, the complete biosynthetic pathway of diterpene alkaloids, bioactive compounds with significant pharmaceutical implications and derived from Aconitum species, remains elusive. In this study, leveraging high-throughput metabolome and transcriptome analyses, we conducted a comprehensive investigation using four tissues of A. japonicum, including leaf, mother root, daughter root, and rootlet. By integrating these multi-omics datasets, we achieved a holistic insight into the gene expression patterns and metabolite profiles intricately linked with diterpene alkaloid biosynthesis. Our findings unveil potential regulatory networks and pinpoint key candidate genes pivotal in diterpene alkaloid synthesis. Through comparative analyses across tissues, we delineate tissue-specific variations in gene expression and metabolite accumulation, shedding light on the spatial regulation of these biosynthetic pathways within the plant. Furthermore, this study contributes to a deeper understanding of the molecular mechanisms dictating the production of diterpene alkaloids in A. japonicum. Besides advancing our knowledge of plant secondary metabolism in A. japonicum, this study also provides a high-quality multi-omics resource for future studies aimed at functionally characterizing the target genes involved in different metabolic processes.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 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 | 0.001 |
| 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