Genomic Analysis of Yam: Understanding Its Adaptive Evolution and Medicinal Properties
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Yam, commonly known as Shuyu, Tushu, or Shuyao in Chinese, is a traditional Chinese medicinal and edible plant with nutritional and medicinal value.This study aims to elucidate the adaptive evolution and medicinal properties of yam through comprehensive genomic analysis.The study integrates findings from various research efforts, including transcriptome sequencing, chloroplast genome characterization, and metabolomic profiling.Transcriptome analysis has revealed key pathways and hormone activities involved in microtuber formation, highlighting the role of differentially expressed genes in the plant's development and stress responses.Chloroplast genome sequencing has provided insights into the phylogenetic relationships and potential molecular markers for species identification.Metabolomic studies have identified significant metabolites in different parts of the plant, contributing to its medicinal properties.Additionally, the structural characterization of polysaccharides and their bioactivity on gut microbiota underscores the plant's health benefits.The identification of endogenous gibberellins and -glucosidase inhibitors further supports the plant's therapeutic potential.This study consolidates current genomic and biochemical data, offering a comprehensive understanding of yam's adaptive evolution and medicinal properties, thereby providing references for future research and potential biotechnological applications.
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.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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