An interlaboratory proficiency test using metagenomic sequencing as a diagnostic tool for the detection of RNA viruses in swine fecal material

Metagenomic shotgun sequencing (mNGS) is a generic molecular diagnostic method, involving laboratory preparation of samples, sequencing, bioinformatic analysis of millions of short sequences, and interpretation of the results. In this paper, we investigated the performance of mNGS on the detection of porcine astroviruses, a model for RNA viruses in a pig fecal material, among six European veterinary and public health laboratories. We showed that different methods for data generation affect mNGS performance among participants and that the selection of reference genomes is crucial for read classification. Follow-up investigation remains a critical factor for the diagnostic interpretation of mNGS results. The paper contributes to potential improvements of mNGS as a diagnostic tool in clinical settings.

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Publication Details

Journal
Microbiology Spectrum
Published
2024-08-20
DOI
https://doi.org/10.1128/spectrum.04208-23
Citations
3
Primary Topic
Viral gastroenteritis research and epidemiology
Type
article
Field-Weighted Citation Impact
1.17

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article

An interlaboratory proficiency test using metagenomic sequencing as a diagnostic tool for the detection of RNA viruses in swine fecal material

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3 citations
Microbiology Spectrum
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article

An interlaboratory proficiency test using metagenomic sequencing as a diagnostic tool for the detection of RNA viruses in swine fecal material

Per Wallgren, Marcel Hulst, Alex Bossers, Mikhayil Hakhverdyan, Sander van Boheemen, Pierrick Lucas, Steven Van Borm, Yannick Blanchard, Bas B. Oude Munnink, Qiang Fu, Miranda de Graaf, Kevin Vanneste, Lihong Liu
article en
3 citations

Abstract

Metagenomic shotgun sequencing (mNGS) is a generic molecular diagnostic method, involving laboratory preparation of samples, sequencing, bioinformatic analysis of millions of short sequences, and interpretation of the results. In this paper, we investigated the performance of mNGS on the detection of porcine astroviruses, a model for RNA viruses in a pig fecal material, among six European veterinary and public health laboratories. We showed that different methods for data generation affect mNGS performance among participants and that the selection of reference genomes is crucial for read classification. Follow-up investigation remains a critical factor for the diagnostic interpretation of mNGS results. The paper contributes to potential improvements of mNGS as a diagnostic tool in clinical settings.

Microbiology SpectrumVol. 12(10)
Erasmus MC (NL), Agence Nationale de Sécurité Sanitaire de l’Alimentation, de l’Environnement et du Travail (FR), Sciensano (Belgium) (BE), Wageningen University & Research (NL)
European Commission, Uppsala Multidisciplinary Center for Advanced Computational Science
Openalex Percentile: Top 22%
Viral gastroenteritis research and epidemiology
1.17
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