Effects of <scp>eIF</scp>iso4G1 mutation on seed oil biosynthesis
Bibliographic record
Abstract
Fatty acid biosynthesis is a primary metabolic pathway that occurs in plastids, whereas the formation of glycerolipid molecules for the majority of cellular membrane systems and the deposition of storage lipid in seeds takes place in the cytosolic compartment. In this report, we present a study of an Arabidopsis mutant, ar21, with a novel seed fatty acid phenotype showing higher contents of eicosanoic acid (20:1) and oleic acid (18:1) and a reduced level of α-linolenic acid (18:3). A combination of map-based cloning and whole-genome sequencing identified the genetic basis underlying the fatty acid phenotype as a lesion in the plant-specific eukaryotic translation initiation factor eIFiso4G1. Transcriptome analysis on developing seeds revealed a reduced level of plastid-encoded genes. Specifically, decreases in both transcript and protein levels of an enzyme involved in fatty acid biosynthesis, the β-subunit of the plastidic heteromeric acetyl-CoA carboxylase (htACCase) encoded by accD, were evident in the mutant. Biochemical assays showed that the developing seeds of the mutant possessed a decreased htACCase activity in the plastid but an elevated activity of homomeric acetyl-CoA carboxylase (hmACCase). These results suggested that the increased 20:1 was attributable at least in part to the enhanced cytosolic hmACCase activity. We also detected a significant repression of FATTY ACID DESATURASE 3 (FAD3) during seed development, which correlated with a decreased 18:3 level in seed oil. Together, our study on a mutant of eIFiso4G1 uncovered multifaceted interactions between the cytosolic and plastidic compartments in seed lipid biosynthesis that impact major seed oil traits.
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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) | 0.001 | 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".