PEBP regulates balance between apoptosis and autophagy, enabling coexistence of arbovirus and insect vector
Bibliographic record
Abstract
Abstract Apoptosis and autophagy are two most prominent forms of programmed cell deaths (PCD) that have been implicated in antiviral immunity in vertebrate and plant hosts. Arboviruses are able to coexist with its arthropod vectors by coordinating the PCD immunity, but the regulatory mechanism involved is largely unknown. We found that the coat protein (CP) of an insect-borne plant virus TYLCV directly interacted with a phosphatidylethanolamine-binding protein (PEBP) of its insect vector whitefly to negatively influence the MAPK signaling cascade. As a result, the apoptosis was activated in whitefly which increased viral loading. Simultaneously, the PEBP4-CP interaction liberated ATG8, the hallmark of autophagy initiation, and eliminates arbovirus. Furthermore, apoptosis-promoted virus loading was compromised by agonist-induced autophagy, but autophagy-associated suppression on virus loading was unaffected by apoptosis agonist or inhibitor, suggesting that virus loading was predominantly determined by autophagy rather than by apoptosis. Our results demonstrated that maintaining a mild immune response by coordinating apoptosis and autophagy processes presumably could facilitate coexistence of the arbovirus and its insect vector. Taken together, immune homeostasis shaped by two types of PCD may facilitate the arbovirus preservation within the insect vector. Graphical abstract Highlights Interaction between whitefly PEBP4 and TYLCV CP suppresses phosphorylation of MAPK cascade, activating apoptosis TYLCV CP liberates PEBP4-bound ATG8, resulting in lipidation of ATG8 and initiation of autophagy. PEBP4 balances apoptosis and autophagy in viruliferous whitefly to optimize virus loading without obvious fitness cost.
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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 | 0.000 | 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) | 0.003 | 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".