Investigation of the contribution of oil biosynthetic enzymes to seed oil content in <i>Brassica napus</i> and <i>Arabidopsis thaliana</i>
Bibliographic record
Abstract
Katavic, V., Shi, L., Yu, Y., Zhao, L., Haughn, G. W. and Kunst, L. 2014. Investigation of the contribution of oil biosynthetic enzymes to seed oil content in Brassica napus and Arabidopsis thaliana. Can. J. Plant Sci. 94: 1109–1112. One of the critical reactions in triacylglycerol (TAG) biosynthesis is activation of fatty acyl chains to fatty acyl CoAs, catalyzed by long-chain acyl CoA synthetases (LACS). In Arabidopsis thaliana there is a family of nine genes that encode LACSs. Studies to determine whether the products of two of these genes, LACS8 and LACS9, function together to contribute acyl-CoAs for storage oil biosynthesis in A. thaliana resulted in discovery that it is not LACS8 but LACS1 that functionally overlaps with LACS9 in TAG biosynthesis (published in Plant Journal). To elucidate regulatory mechanisms of seed oil synthesis, the potential roles of phospholipase D zeta (PLDZ) and rhamnose synthase 2 (RHM2/MUM4) in transcription factor GLABRA2 (GL2)-mediated regulation of seed oil biosynthesis and deposition were investigated. Results demonstrated that PLDZ genes are not involved in GL2-mediated seed oil accumulation and that GL2 regulates seed oil production, at least in part, through its influence on expression of the gene RHM2/MUM4 required for the seed coat mucilage biosynthesis (published in Plant Journal). A novel Arabidopsis mutant with speckled seed coat and reduced seed oil phenotypes resulting from a mutation in a single unknown gene was identified, but attempts to isolate the gene by positional cloning have not been successful to date (unpublished results). Finally, seed oil content in near-isogenic double haploid Brassica napus lines was analyzed, “low oil” and “high oil” lines were identified, and developing seeds for expression profiling of target seed oil biosynthesis/bioassembly genes in selected double haploid lines were collected (unpublished results).
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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".