Identification and Bioinformatic Analysis of the ASAT Gene Family in <i>Oryza staiva</i>
Bibliographic record
Abstract
Rice bran oil is rich in bioactive steryl ferulates that are important not only for seed development, drought stress and lipid metabolism, but also for grain nutrition quality and human healthy. However, its complete compositions and associated metabolic pathways are poorly understood. Arabidopsis thaliana Acyl-CoA Sterol Acyltransferase1 (AtASAT1) is the only one in the superfamily of Membrane-Bound O-Acyltransferases that has ASAT activity, which prefers saturated fatty acyl-CoAs as acyl donors and cycloartenol as the acyl acceptor. Overexpression of AtASAT1 in Arabidopsis results in a strong accumulation of cycloartenol fatty acyl esters accompanied by an increase of the whole steryl esters contents in seeds. Here we present our bioinformatic based analysis data aiming to identify more plant ASAT family members and to in silico study of them in rice. We identified 105 ASAT Family members from public genome database of 10 plant species including Arabidopsis and tomato, and the phylogenetic tree of ASAT family constructed revealed evolutionary relationships of ASAT family members between oil-bearing crop and non-oil-bearing species, and between monocotyledons and dicotyledons. We further investigated into physical and chemical properties of 14 OsASAT proteins, and chromosome distributions, structures and promoter sequences, and expression patterns of corresponding OsASAT genes, providing a solid theoretical basis for further study of the biological functions of OsASAT proteins.
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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".