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Establishing farm dust as a useful viral metagenomic surveillance matrix

Farm animals may harbor viral pathogens, some with zoonotic potential which can possibly cause severe clinical outcomes in animals and humans. Documenting the viral content of dust may provide information on the potential sources and movement of viruses. Here, we describe a dust sequencing strategy...

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Autores principales: Kwok, Kirsty T. T., de Rooij, Myrna M. T., Messink, Aniek B., Wouters, Inge M., Smit, Lidwien A. M., Cotten, Matthew, Heederik, Dick J. J., Koopmans, Marion P. G., Phan, My V. T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9521564/
https://www.ncbi.nlm.nih.gov/pubmed/36175536
http://dx.doi.org/10.1038/s41598-022-20701-x
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author Kwok, Kirsty T. T.
de Rooij, Myrna M. T.
Messink, Aniek B.
Wouters, Inge M.
Smit, Lidwien A. M.
Cotten, Matthew
Heederik, Dick J. J.
Koopmans, Marion P. G.
Phan, My V. T.
author_facet Kwok, Kirsty T. T.
de Rooij, Myrna M. T.
Messink, Aniek B.
Wouters, Inge M.
Smit, Lidwien A. M.
Cotten, Matthew
Heederik, Dick J. J.
Koopmans, Marion P. G.
Phan, My V. T.
author_sort Kwok, Kirsty T. T.
collection PubMed
description Farm animals may harbor viral pathogens, some with zoonotic potential which can possibly cause severe clinical outcomes in animals and humans. Documenting the viral content of dust may provide information on the potential sources and movement of viruses. Here, we describe a dust sequencing strategy that provides detailed viral sequence characterization from farm dust samples and use this method to document the virus communities from chicken farm dust samples and paired feces collected from the same broiler farms in the Netherlands. From the sequencing data, Parvoviridae and Picornaviridae were the most frequently found virus families, detected in 85–100% of all fecal and dust samples with a large genomic diversity identified from the Picornaviridae. Sequences from the Caliciviridae and Astroviridae familes were also obtained. This study provides a unique characterization of virus communities in farmed chickens and paired farm dust samples and our sequencing methodology enabled the recovery of viral genome sequences from farm dust, providing important tracking details for virus movement between livestock animals and their farm environment. This study serves as a proof of concept supporting dust sampling to be used in viral metagenomic surveillance.
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spelling pubmed-95215642022-09-30 Establishing farm dust as a useful viral metagenomic surveillance matrix Kwok, Kirsty T. T. de Rooij, Myrna M. T. Messink, Aniek B. Wouters, Inge M. Smit, Lidwien A. M. Cotten, Matthew Heederik, Dick J. J. Koopmans, Marion P. G. Phan, My V. T. Sci Rep Article Farm animals may harbor viral pathogens, some with zoonotic potential which can possibly cause severe clinical outcomes in animals and humans. Documenting the viral content of dust may provide information on the potential sources and movement of viruses. Here, we describe a dust sequencing strategy that provides detailed viral sequence characterization from farm dust samples and use this method to document the virus communities from chicken farm dust samples and paired feces collected from the same broiler farms in the Netherlands. From the sequencing data, Parvoviridae and Picornaviridae were the most frequently found virus families, detected in 85–100% of all fecal and dust samples with a large genomic diversity identified from the Picornaviridae. Sequences from the Caliciviridae and Astroviridae familes were also obtained. This study provides a unique characterization of virus communities in farmed chickens and paired farm dust samples and our sequencing methodology enabled the recovery of viral genome sequences from farm dust, providing important tracking details for virus movement between livestock animals and their farm environment. This study serves as a proof of concept supporting dust sampling to be used in viral metagenomic surveillance. Nature Publishing Group UK 2022-09-29 /pmc/articles/PMC9521564/ /pubmed/36175536 http://dx.doi.org/10.1038/s41598-022-20701-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Kwok, Kirsty T. T.
de Rooij, Myrna M. T.
Messink, Aniek B.
Wouters, Inge M.
Smit, Lidwien A. M.
Cotten, Matthew
Heederik, Dick J. J.
Koopmans, Marion P. G.
Phan, My V. T.
Establishing farm dust as a useful viral metagenomic surveillance matrix
title Establishing farm dust as a useful viral metagenomic surveillance matrix
title_full Establishing farm dust as a useful viral metagenomic surveillance matrix
title_fullStr Establishing farm dust as a useful viral metagenomic surveillance matrix
title_full_unstemmed Establishing farm dust as a useful viral metagenomic surveillance matrix
title_short Establishing farm dust as a useful viral metagenomic surveillance matrix
title_sort establishing farm dust as a useful viral metagenomic surveillance matrix
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9521564/
https://www.ncbi.nlm.nih.gov/pubmed/36175536
http://dx.doi.org/10.1038/s41598-022-20701-x
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