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Record W3176790120 · doi:10.1128/mbio.00788-21

Identification of a High-Frequency Intrahost SARS-CoV-2 Spike Variant with Enhanced Cytopathic and Fusogenic Effects

2021· article· en· W3176790120 on OpenAlexafffund
Lynda Rocheleau, Geneviève Laroche, Kathy Fu, Corina M. Stewart, Abdulhamid O. Mohamud, Marceline Côté, Marc‐André Langlois, Martin Pelchat

Bibliographic record

VenuemBio · 2021
Typearticle
Languageen
FieldMedicine
TopicSARS-CoV-2 and COVID-19 Research
Canadian institutionsInstitute of Infection and ImmunityUniversity of Ottawa
FundersCanadian Institutes of Health ResearchGovernment of Canada
KeywordsBiologyViral evolutionMutationSelection (genetic algorithm)Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Adaptation (eye)VirologyGeneticsMutation rateSpike (software development)Coronavirus disease 2019 (COVID-19)Computational biologyRNAGeneMedicineDiseaseInfectious disease (medical specialty)NeuroscienceComputer science

Abstract

fetched live from OpenAlex

The mutation rate and evolution of RNA viruses correlate with viral adaptation. While most mutations do not make significant contributions to viral molecular evolution, some are naturally selected and produce variants through positive selection. Many SARS-CoV-2 variants have been recently described and show phenotypic selection toward more infectious viruses. Our study describes another type of variant that does not contribute to interhost heterogeneity but rather phenotypic selection toward variants that might have increased cytopathic effects. We identified that a C-terminal truncation of the spike protein removes an important endoplasmic reticulum (ER) retention signal, which consequently results in a spike variant that easily travels through the Golgi complex toward the plasma membrane in a preactivated conformation, leading to increased syncytium formation.

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 score0.020
Threshold uncertainty score0.505

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 head0.017
GPT teacher head0.301
Teacher spread0.285 · 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

Citations28
Published2021
Admission routes2
Has abstractyes

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