Cargando…
Efficient and unbiased metagenomic recovery of RNA virus genomes from human plasma samples
RNA viruses cause significant human pathology and are responsible for the majority of emerging zoonoses. Mainstream diagnostic assays are challenged by their intrinsic diversity, leading to false negatives and incomplete characterisation. New sequencing techniques are expanding our ability to agnost...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5482852/ https://www.ncbi.nlm.nih.gov/pubmed/28646219 http://dx.doi.org/10.1038/s41598-017-02239-5 |
_version_ | 1783245641195978752 |
---|---|
author | Manso, Carmen F. Bibby, David F. Mbisa, Jean L. |
author_facet | Manso, Carmen F. Bibby, David F. Mbisa, Jean L. |
author_sort | Manso, Carmen F. |
collection | PubMed |
description | RNA viruses cause significant human pathology and are responsible for the majority of emerging zoonoses. Mainstream diagnostic assays are challenged by their intrinsic diversity, leading to false negatives and incomplete characterisation. New sequencing techniques are expanding our ability to agnostically interrogate nucleic acids within diverse sample types, but in the clinical setting are limited by overwhelming host material and ultra-low target frequency. Through selective host RNA depletion and compensatory protocol adjustments for ultra-low RNA inputs, we are able to detect three major blood-borne RNA viruses – HIV, HCV and HEV. We recovered complete genomes and up to 43% of the genome from samples with viral loads of 10(4) and 10(3) IU/ml respectively. Additionally, we demonstrated the utility of this method in detecting and characterising members of diverse RNA virus families within a human plasma background, some present at very low levels. By applying this method to a patient sample series, we have simultaneously determined the full genome of both a novel subtype of HCV genotype 6, and a co-infecting human pegivirus. This method builds upon earlier RNA metagenomic techniques and can play an important role in the surveillance and diagnostics of blood-borne viruses. |
format | Online Article Text |
id | pubmed-5482852 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-54828522017-06-26 Efficient and unbiased metagenomic recovery of RNA virus genomes from human plasma samples Manso, Carmen F. Bibby, David F. Mbisa, Jean L. Sci Rep Article RNA viruses cause significant human pathology and are responsible for the majority of emerging zoonoses. Mainstream diagnostic assays are challenged by their intrinsic diversity, leading to false negatives and incomplete characterisation. New sequencing techniques are expanding our ability to agnostically interrogate nucleic acids within diverse sample types, but in the clinical setting are limited by overwhelming host material and ultra-low target frequency. Through selective host RNA depletion and compensatory protocol adjustments for ultra-low RNA inputs, we are able to detect three major blood-borne RNA viruses – HIV, HCV and HEV. We recovered complete genomes and up to 43% of the genome from samples with viral loads of 10(4) and 10(3) IU/ml respectively. Additionally, we demonstrated the utility of this method in detecting and characterising members of diverse RNA virus families within a human plasma background, some present at very low levels. By applying this method to a patient sample series, we have simultaneously determined the full genome of both a novel subtype of HCV genotype 6, and a co-infecting human pegivirus. This method builds upon earlier RNA metagenomic techniques and can play an important role in the surveillance and diagnostics of blood-borne viruses. Nature Publishing Group UK 2017-06-23 /pmc/articles/PMC5482852/ /pubmed/28646219 http://dx.doi.org/10.1038/s41598-017-02239-5 Text en © The Author(s) 2017 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Manso, Carmen F. Bibby, David F. Mbisa, Jean L. Efficient and unbiased metagenomic recovery of RNA virus genomes from human plasma samples |
title | Efficient and unbiased metagenomic recovery of RNA virus genomes from human plasma samples |
title_full | Efficient and unbiased metagenomic recovery of RNA virus genomes from human plasma samples |
title_fullStr | Efficient and unbiased metagenomic recovery of RNA virus genomes from human plasma samples |
title_full_unstemmed | Efficient and unbiased metagenomic recovery of RNA virus genomes from human plasma samples |
title_short | Efficient and unbiased metagenomic recovery of RNA virus genomes from human plasma samples |
title_sort | efficient and unbiased metagenomic recovery of rna virus genomes from human plasma samples |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5482852/ https://www.ncbi.nlm.nih.gov/pubmed/28646219 http://dx.doi.org/10.1038/s41598-017-02239-5 |
work_keys_str_mv | AT mansocarmenf efficientandunbiasedmetagenomicrecoveryofrnavirusgenomesfromhumanplasmasamples AT bibbydavidf efficientandunbiasedmetagenomicrecoveryofrnavirusgenomesfromhumanplasmasamples AT mbisajeanl efficientandunbiasedmetagenomicrecoveryofrnavirusgenomesfromhumanplasmasamples |