MétaCan
Menu
Back to cohort
Record W2801650403 · doi:10.1093/ve/vey010.030

A31 Molecular characterization of circulating human noroviruses in Canada to assess RT-qPCR assays used for the detection of foodborne noroviruses

2018· article· en· W2801650403 on OpenAlexaffabout
Émilie Larocque, Yvan L’Homme, Hugues Charest, Christine Martineau, Deborah M. Lambert

Bibliographic record

VenueVirus Evolution · 2018
Typearticle
Languageen
FieldMedicine
TopicViral gastroenteritis research and epidemiology
Canadian institutionsInstitut National de Santé Publique du QuébecCanadian Food Inspection Agency
Fundersnot available
KeywordsNorovirusVirologyBiologyComputational biologyVirus

Abstract

fetched live from OpenAlex

Noroviruses (NoV) have been identified as the main cause of acute gastroenteritis in humans of all ages and as the main etiologic agent of foodborne illnesses worldwide. Since human NoV are difficult to grow in vitro, and that alternative diagnostic methods such as electron microscopy and serology lack sensitivity, modern detection methods rely on molecular approaches such as Reverse Transcription qPCR (RT-qPCR). However, the continuous emergence of new NoV strains, coupled with the genetic diversity between and within genotypes and the potential for recombination, represent continuous and significant challenges to clinical and food diagnostic laboratories. In this study, we investigated 215 outbreak-related NoV isolates collected between 2010 and 2016 by the Quebec provincial public health laboratory (Laboratoire de santé publique du Québec). An ∼2.4-kb-long amplicon, encompassing the 3′-end of ORF1, polymerase gene, and the complete VP1 gene, was characterized using Next-Generation Sequencing. Paired-end dual-indexed sequencing runs of 2×75 cycles were conducted on pooled libraries on Illumina’s MiSeq Instrument and paired reads were assembled de novo into a single contig. Firstly, both the 3′-end of ORF1 and VP1 sequences derived from the contig were genotyped and subtyped by phylogenetic analysis. Typing revealed that multiple NoV genotypes were in circulation between 2010 and 2016, but NoV genotype GII.4 was responsible for most of the gastroenteritis outbreaks. Moreover, genotyping of ORF1 and VP1 did not always match suggesting recombinant noroviruses. Secondly, binding affinity between all the characterized NoV isolates and the primers or probes was assessed in silico. The analysis demonstrated that mismatches in the Taqman probe-binding sites were associated with certain genotypes: GI.P3_GI.3a, GI.P9_GI.9, GI.Pa_GI.3 b, GII.P7_GII.6, and GII.P17_GII.17. The NoV GII Taqman probe was modified accordingly and tested against the original probe using a panel of twelve representative samples. A single mismatch in the NoV GII Taqman probe impeded detection: concurrent testing demonstrated a discrepancy between the CT values. Improved understanding of the genetic diversity of circulating noroviruses is important to develop molecular assays with appropriate inclusivity and exclusivity panels during analytical sensitivity evaluations in food virology laboratories.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.018
Threshold uncertainty score0.129

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0030.001
Scholarly communication0.0020.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.058
GPT teacher head0.330
Teacher spread0.272 · 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 source (direct Gemma or distilled Codex), 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
Published2018
Admission routes2
Has abstractno

Explore more

Same venueVirus EvolutionSame topicViral gastroenteritis research and epidemiologyFrench-language works237,207