Integrated analysis of lipid metabolites and expressed genes reveals dynamic changes of lipid metabolism in high- and low-oil containing Gossypium hirsutum L. genotypes
Bibliographic record
Abstract
Cottonseed is a globally significant oilseed crop due to its high contribution to vegetable oil supply. The process of lipid accumulation is essential for seed maturation and oil buildup. In this study, we analyzed lipid metabolites and gene expression patterns related to fatty acid synthesis in two cotton genotypes with varying oil content. Our lipid analysis identified 588 kinds of lipids in developing embryos of upland cotton, with glycerophospholipids (64.29 %), glycerolipids (17.69 %), and saccharolipids (13.61 %) being the main components. Transcriptome analysis of key genes involved in fatty acid biosynthesis and lipid droplet formation revealed potential regulatory regions influencing lipid content in developing embryos of upland cotton. This research provides valuable insights into the lipidome profiles during embryo development and lays the groundwork for future investigations on lipid accumulation in economically important crops. • The 588 lipid molecules were identified in developing embryo of upland cotton. • Compared to other oil crops, cottonseed contains a greater variety and abundance of lipid molecules. • MGDG is a crucial lipid in cottonseed. • CLO1 is the key protein affecting lipid droplet formation in cottonseed.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".