TEMPERATURE‐SENSITIVE, POST‐TRANSLATIONAL REGULATION OF PLANT OMEGA‐3 FATTY ACID DESATURASES IS MEDIATED BY THE ER‐ASSOCIATED DEGRADATION PATHWAY
Bibliographic record
Abstract
In plants, the endoplasmic reticulum (ER)‐localized omega‐3 fatty acid desaturases (Fad3s) increase the production of polyunsaturated fatty acids at cooler temperatures, but the FAD3 genes themselves are typically not upregulated during this adaptive response. Here, we expressed two closely related plant FAD3 genes in yeast cells and found that their enzymes produced significantly different amounts of omega‐3 fatty acids. Moreover, protein amounts were determined primarily by differences in rates of protein turnover, rather than mRNA levels, indicating that the Fad3 proteins are differentially regulated at the post‐translational level. Domain‐swapping and mutagenesis experiments revealed that each Fad3 protein contained a degradation signal in their N‐terminal region and that the charge density of a PEST‐like sequence within this region was largely responsible for the differences in their protein half‐lives. The half‐lives of both Fad3 proteins were increased at cooler temperatures and their protein degradation required Cdc48 adaptor proteins, Doa1 and Shp1, as well as proteasomal activity. Collectively, these findings indicate that the steady‐state amount of Fad3 proteins (and thus Fad3 activity) is modulated in response to temperature through a combination of cis ‐acting degradation signals and specific components of the ER‐associated degradation pathway.
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 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 | 0.000 | 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) | 0.001 | 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".