Genomic characterization of noroviruses from an outbreak associated with oysters

ABSTRACT Human noroviruses are the leading cause of non-bacterial shellfish-associated gastroenteritis. In 2022, a multi-jurisdictional norovirus outbreak associated with contaminated oysters occurred that involved hundreds of illnesses. Here, we conducted genetic analysis on 30 clinical samples ass...

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Main Authors: Annika Flint, Jennifer Harlow, Madison McLeod, Madeleine Blondin-Brosseau, Kelly Weedmark, Neda Nasheri
Format: Article
Language:English
Published: American Society for Microbiology 2025-02-01
Series:Microbiology Spectrum
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Online Access:https://journals.asm.org/doi/10.1128/spectrum.02580-24
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author Annika Flint
Jennifer Harlow
Madison McLeod
Madeleine Blondin-Brosseau
Kelly Weedmark
Neda Nasheri
author_facet Annika Flint
Jennifer Harlow
Madison McLeod
Madeleine Blondin-Brosseau
Kelly Weedmark
Neda Nasheri
author_sort Annika Flint
collection DOAJ
description ABSTRACT Human noroviruses are the leading cause of non-bacterial shellfish-associated gastroenteritis. In 2022, a multi-jurisdictional norovirus outbreak associated with contaminated oysters occurred that involved hundreds of illnesses. Here, we conducted genetic analysis on 30 clinical samples associated with this oyster outbreak. We first determined the capsid genotypes by Sanger sequencing and viral titers by droplet-digital reverse transcription PCR. Multiple genotypes were identified in this outbreak, which could indicate contamination with wastewaters. The majority of samples belonged to GII.3[P12], followed by GII.2[P16], GII.17[P17], and GII.4 Sydney[P16]. We next proceeded with whole-genome sequencing and obtained full genomes for 19 samples. Phylogenetic analysis revealed that some of the isolates showed high similarity with the sequences isolated from the United States related to the same outbreak. We also analyzed amino acid variations in the sequenced genomes and found that overall the GII.3[P12] isolates have lower variations compared to other genotypes.IMPORTANCENorovirus outbreaks associated with contaminated shellfish occur frequently. Whole-genome sequencing (WGS) could play a critical role in understanding and controlling norovirus outbreaks as it allows for source attribution, tracking transmission pathways, and detecting recurrent or linked outbreaks. Here, we described how the data obtained by WGS were employed for understanding transmission patterns and norovirus epidemiology.
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spelling doaj-art-945d8c9172574a07b602f907b579f6832025-02-04T14:03:41ZengAmerican Society for MicrobiologyMicrobiology Spectrum2165-04972025-02-0113210.1128/spectrum.02580-24Genomic characterization of noroviruses from an outbreak associated with oystersAnnika Flint0Jennifer Harlow1Madison McLeod2Madeleine Blondin-Brosseau3Kelly Weedmark4Neda Nasheri5Genomics Laboratory, Bureau of Microbial Hazards, Health Canada, Ottawa, Ontario, CanadaNational Food Virology Reference Center, Bureau of Microbial Hazards, Health Canada, Ottawa, Ontario, CanadaNational Food Virology Reference Center, Bureau of Microbial Hazards, Health Canada, Ottawa, Ontario, CanadaNational Food Virology Reference Center, Bureau of Microbial Hazards, Health Canada, Ottawa, Ontario, CanadaGenomics Laboratory, Bureau of Microbial Hazards, Health Canada, Ottawa, Ontario, CanadaNational Food Virology Reference Center, Bureau of Microbial Hazards, Health Canada, Ottawa, Ontario, CanadaABSTRACT Human noroviruses are the leading cause of non-bacterial shellfish-associated gastroenteritis. In 2022, a multi-jurisdictional norovirus outbreak associated with contaminated oysters occurred that involved hundreds of illnesses. Here, we conducted genetic analysis on 30 clinical samples associated with this oyster outbreak. We first determined the capsid genotypes by Sanger sequencing and viral titers by droplet-digital reverse transcription PCR. Multiple genotypes were identified in this outbreak, which could indicate contamination with wastewaters. The majority of samples belonged to GII.3[P12], followed by GII.2[P16], GII.17[P17], and GII.4 Sydney[P16]. We next proceeded with whole-genome sequencing and obtained full genomes for 19 samples. Phylogenetic analysis revealed that some of the isolates showed high similarity with the sequences isolated from the United States related to the same outbreak. We also analyzed amino acid variations in the sequenced genomes and found that overall the GII.3[P12] isolates have lower variations compared to other genotypes.IMPORTANCENorovirus outbreaks associated with contaminated shellfish occur frequently. Whole-genome sequencing (WGS) could play a critical role in understanding and controlling norovirus outbreaks as it allows for source attribution, tracking transmission pathways, and detecting recurrent or linked outbreaks. Here, we described how the data obtained by WGS were employed for understanding transmission patterns and norovirus epidemiology.https://journals.asm.org/doi/10.1128/spectrum.02580-24norovirusoutbreakoystersIllumina MiSeqphylogenetic analysissingle nucleotide polymorphism
spellingShingle Annika Flint
Jennifer Harlow
Madison McLeod
Madeleine Blondin-Brosseau
Kelly Weedmark
Neda Nasheri
Genomic characterization of noroviruses from an outbreak associated with oysters
Microbiology Spectrum
norovirus
outbreak
oysters
Illumina MiSeq
phylogenetic analysis
single nucleotide polymorphism
title Genomic characterization of noroviruses from an outbreak associated with oysters
title_full Genomic characterization of noroviruses from an outbreak associated with oysters
title_fullStr Genomic characterization of noroviruses from an outbreak associated with oysters
title_full_unstemmed Genomic characterization of noroviruses from an outbreak associated with oysters
title_short Genomic characterization of noroviruses from an outbreak associated with oysters
title_sort genomic characterization of noroviruses from an outbreak associated with oysters
topic norovirus
outbreak
oysters
Illumina MiSeq
phylogenetic analysis
single nucleotide polymorphism
url https://journals.asm.org/doi/10.1128/spectrum.02580-24
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