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Record W2152953383 · doi:10.1261/rna.1826710

The RNA strands of the plus and minus polarities of peach latent mosaic viroid fold into different structures

2010· article· en· W2152953383 on OpenAlexafffund
Audrey Dubé, Tilman Baumstark, Martin Bisaillon, Jean‐Pierre Perreault

Bibliographic record

VenueRNA · 2010
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Virus Research Studies
Canadian institutionsUniversité de Sherbrooke
FundersNatural Sciences and Engineering Research Council of CanadaCanadian Institutes of Health ResearchFonds Québécois de la Recherche sur la Nature et les Technologies
KeywordsBiologyViroidPseudoknotRNARibonucleaseRNase PBiochemistry

Abstract

fetched live from OpenAlex

It is believed that peach latent mosaic viroid (PLMVd) strands of both the plus and minus polarities fold into similar secondary and tertiary structures. In order to verify this hypothesis, the behavior of both strands in three biophysical assays was examined. PLMVd transcripts of plus and minus polarity were found to exhibit distinct electrophoretic mobility properties under native conditions, to precipitate differently in the presence of lithium chloride, and to possess variable thermal denaturation profiles. Subsequently, the structure of PLMVd transcripts of minus polarity was elucidated by biochemical methods, thereby permitting comparison to the known structure of the plus polarity. Specifically, enzymatic probing, electrophoretic mobility shift assay, and ribonuclease H hydrolysis were performed in order to resolve the secondary structure of the minus polarity. The left domains of the strands of both polarities appear to be similar, while the right domain exhibited several differences even though they both adopted a branched structure. The pseudoknot P8 formed in the plus strand seemed not formed in the minus strands. The structural differences between the two polarities might have important implications in various steps of the PLMVd life cycle.

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 score0.766
Threshold uncertainty score0.325

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 head0.018
GPT teacher head0.232
Teacher spread0.215 · 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
Published2010
Admission routes2
Has abstractyes

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