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Record W2169444513 · doi:10.1128/jvi.02485-05

Evaluation of the Roles of Specific Regions of the <i>Cucumber Necrosis Virus</i> Coat Protein Arm in Particle Accumulation and Fungus Transmission

2006· article· en· W2169444513 on OpenAlexafffund
Elizabeth Hui, D’Ann Rochon

Bibliographic record

VenueJournal of Virology · 2006
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Virus Research Studies
Canadian institutionsUniversity of British ColumbiaAgriculture and Agri-Food Canada
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsBiologyCapsidMutantRNAProtein subunitRNA virusParticle (ecology)VirusVirologyBiophysicsCell biologyGeneticsGene

Abstract

fetched live from OpenAlex

The Cucumber necrosis virus (CNV) particle is a T=3 icosahedron composed of 180 identical coat protein (CP) subunits. Each CP subunit includes a 34-amino-acid (aa) arm which connects the RNA binding and shell domains. The arm is comprised of an 18-aa "beta" region and a 16-aa "epsilon" region, with the former contributing to a beta-annular structure involved in particle stability and the latter contributing to quasiequivalence and virion RNA binding. Previous work has shown that specific regions of the CNV capsid play important roles in transmission by zoospores of the fungal vector Olpidium bornovanus and that particle expansion is essential for this process. To assess the importance of the two arm regions in particle accumulation, stability, and virus transmission, five CP arm deletion mutants were constructed. Our findings indicate that beta(-) mutants are capable of producing particles in plants; however, the arm(-) and epsilon(-) mutants are not. In addition, beta(-) particles bind zoospores less efficiently than wild-type CNV and are not fungally transmissible. Beta(-) particles are also less thermally stable and disassemble under swelling conditions. Our finding that beta(-) mutants can accumulate in plants suggests that other features of the virion, such as RNA/CP interactions, may also be important for particle stability.

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)0.001
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 score0.525
Threshold uncertainty score0.123

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.076
GPT teacher head0.300
Teacher spread0.224 · 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

Citations23
Published2006
Admission routes2
Has abstractyes

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