Bibliographic record
Abstract
The primary objective of this study was to elucidate the genetic basis of oil content in various Camellia species, with a particular focus on identifying key genes and genetic markers associated with oil biosynthesis and fatty acid composition. The study identified several significant genetic markers and differentially expressed genes (DEGs) associated with oil content and quality in Camellia species. In Camellia oleifera , single nucleotide polymorphisms (SNPs) and insertion-deletion (InDel) markers within key fatty acid desaturase genes were found to be significantly associated with oil content and composition, explaining up to 17.93% of phenotypic variance. Transcriptomic analyses revealed critical genes involved in lipid metabolism and oil accumulation, such as stearoyl-ACP desaturases (SADs) and fatty acid desaturase 2 (FAD2), which were differentially expressed during seed development. Additionally, integrative proteomic and transcriptomic analyses identified key metabolites and co-expressed genes involved in oil quality during seed ripenin4. Comparative studies between high- and low-oil cultivars highlighted the coordinated regulation of upstream and downstream genes essential for high oleic acid accumulation. The findings from this study provide valuable genetic markers and insights into the molecular mechanisms underlying oil biosynthesis in Camellia species. These discoveries have significant implications for the genetic improvement of oil content and quality in Camellia cultivars through marker-assisted selection and genetic engineering.
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 | 0.000 |
| 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 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".