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Record W4415823076 · doi:10.3390/jof11110786

The Velvet Complex Is Essential for Sclerotia Formation and Virulence in Sclerotinia sclerotiorum

2025· article· en· W4415823076 on OpenAlexafffund
Weijie Huang, Ning Cui, Jessica Wijaya, Yan Xu, Mingsong Wu, Yuelin Zhang, Xin Li

Bibliographic record

VenueJournal of Fungi · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant pathogens and resistance mechanisms
Canadian institutionsCanada's Michael Smith Genome Sciences CentreUniversity of British Columbia
FundersFundamental Research Funds for the Central UniversitiesNatural Sciences and Engineering Research Council of CanadaCanada Research Chairs
KeywordsSclerotinia sclerotiorumVirulenceAppressoriumMutantVelvetPathogen

Abstract

fetched live from OpenAlex

Sclerotinia sclerotiorum is a devastating soilborne fungal pathogen that causes Sclerotinia stem rot in many economically important crops. It forms sclerotia, resilient dormant structures that can persist in soil for years. Understanding the molecular mechanism of sclerotia formation is crucial for developing effective control strategies, but only a limited number of signaling components have been uncovered in this process. Through independent forward genetic screens, we identified SsLae1 and SsVel1, two core components of the conserved fungal velvet complex, as essential regulators of sclerotia formation and virulence in S. sclerotiorum. Disruption of either gene abolished sclerotia formation, impaired compound appressorium development, and significantly reduced virulence. Further RNA-seq analysis using the Ssvel1 mutant revealed widespread downregulation of known developmental and virulence regulators. Collectively, these findings establish the velvet complex as a master regulator for both sclerotia development and virulence in S. sclerotiorum.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.848
Threshold uncertainty score0.187

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 head0.020
GPT teacher head0.236
Teacher spread0.216 · 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 routes2
Has abstractyes

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