A plant RNA virus activates selective autophagy in a UPR‐dependent manner to promote virus infection
Bibliographic record
Abstract
Autophagy is an evolutionarily conserved pathway in eukaryotes that delivers unwanted cytoplasmic materials to the lysosome/vacuole for degradation/recycling. Stimulated autophagy emerges as an integral part of plant immunity against intracellular pathogens. In this study, we used turnip mosaic virus (TuMV) as a model to investigate the involvement of autophagy in plant RNA virus infection. The small integral membrane protein 6K2 of TuMV, known as a marker of the virus replication site and an elicitor of the unfolded protein response (UPR), upregulates the selective autophagy receptor gene NBR1 in a UPR-dependent manner. NBR1 interacts with TuMV NIb, the RNA-dependent RNA polymerase of the virus replication complex (VRC), and the autophagy cargo receptor/adaptor protein ATG8f. The NIb/NBR1/ATG8f interaction complexes colocalise with the 6K2-stained VRC. Overexpression of NBR1 or ATG8f enhances TuMV replication, and deficiency of NBR1 or ATG8f inhibits virus infection. In addition, ATG8f interacts with the tonoplast-specific protein TIP1 and the NBR1/ATG8f-containing VRC is enclosed by the TIP1-labelled tonoplast. In TuMV-infected cells, numerous membrane-bound viral particles are evident in the vacuole. Altogether these results suggest that TuMV activates and manipulates UPR-dependent NBR1-ATG8f autophagy to target the VRC to the tonoplast to promote viral replication and virion accumulation.
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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".