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Record W4414495677 · doi:10.1021/acs.jafc.5c04009

The Methyltransferase Protein Encoded by Ustilaginoidea virens Polymycovirus 1 Suppresses Autophagy in <i>Ustilaginoidea virens</i> to Promote Viral Infection and Confer Host Hypovirulence

2025· article· en· W4414495677 on OpenAlexaff
Zhenrui He, Wenhua Zhao, Mei Yang, Baoping Cheng, Yiming Zhu, Yingqing Yang, Erxun Zhou

Bibliographic record

VenueJournal of Agricultural and Food Chemistry · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPlant and Fungal Interactions Research
Canadian institutionsMinistry of Agriculture
FundersNational Natural Science Foundation of China
KeywordsAutophagyMycovirusHost (biology)FungusAppressoriumAscomycotaFungal proteinPodospora anserinaRNA interference

Abstract

fetched live from OpenAlex

Rice false smut (RFS), caused by the ascomycete fungus Ustilaginoidea virens (Cooke) Takahashi (teleomorph: Villosiclava virens ), is a major panicle disease affecting rice production. Hypovirulence-associated mycoviruses represent promising biocontrol agents against plant fungal diseases. Here, we isolated a novel mycovirus, Ustilaginoidea virens polymycovirus 1 (UvPMV1), which alters the biological characteristics of the host fungus. Our findings demonstrate that UvPMV1 suppresses the autophagy pathway in U. virens and that autophagy is an essential defense mechanism during UvPMV1 infection. The methyltransferase (MT) protein encoded by UvPMV1 acted as an autophagy inhibitor and hypovirulence inducer by specifically interacting with the autophagy-related protein UvAtg6. Furthermore, transcriptomic and proteomic analyses revealed intricate virus–host interaction mechanisms. Collectively, we propose a model in which viral disruption of UvAtg6-mediated autophagy suppresses host defenses to enhance mycoviral proliferation. These findings present a promising biocontrol strategy against RFS and provide new insights into the agricultural application of mycoviruses.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.463

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.005
GPT teacher head0.236
Teacher spread0.231 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2025
Admission routes1
Has abstractyes

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