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Tracking ebolavirus genomic drift with a resequencing microarray
Filoviruses are emerging pathogens that cause acute fever with high fatality rate and present a global public health threat. During the 2013–2016 Ebola virus outbreak, genome sequencing allowed the study of virus evolution, mutations affecting pathogenicity and infectivity, and tracing the viral spr...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Public Library of Science
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8830711/ https://www.ncbi.nlm.nih.gov/pubmed/35143574 http://dx.doi.org/10.1371/journal.pone.0263732 |
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author | Tiper, Irina Kourout, Moussa Lanning, Bryan Fisher, Carolyn Konduru, Krishnamurthy Purkayastha, Anjan Kaplan, Gerardo Duncan, Robert |
author_facet | Tiper, Irina Kourout, Moussa Lanning, Bryan Fisher, Carolyn Konduru, Krishnamurthy Purkayastha, Anjan Kaplan, Gerardo Duncan, Robert |
author_sort | Tiper, Irina |
collection | PubMed |
description | Filoviruses are emerging pathogens that cause acute fever with high fatality rate and present a global public health threat. During the 2013–2016 Ebola virus outbreak, genome sequencing allowed the study of virus evolution, mutations affecting pathogenicity and infectivity, and tracing the viral spread. In 2018, early sequence identification of the Ebolavirus as EBOV in the Democratic Republic of the Congo supported the use of an Ebola virus vaccine. However, field-deployable sequencing methods are needed to enable a rapid public health response. Resequencing microarrays (RMA) are a targeted method to obtain genomic sequence on clinical specimens rapidly, and sensitively, overcoming the need for extensive bioinformatic analysis. This study presents the design and initial evaluation of an ebolavirus resequencing microarray (Ebolavirus-RMA) system for sequencing the major genomic regions of four Ebolaviruses that cause disease in humans. The design of the Ebolavirus-RMA system is described and evaluated by sequencing repository samples of three Ebolaviruses and two EBOV variants. The ability of the system to identify genetic drift in a replicating virus was achieved by sequencing the ebolavirus glycoprotein gene in a recombinant virus cultured under pressure from a neutralizing antibody. Comparison of the Ebolavirus-RMA results to the Genbank database sequence file with the accession number given for the source RNA and Ebolavirus-RMA results compared to Next Generation Sequence results of the same RNA samples showed up to 99% agreement. |
format | Online Article Text |
id | pubmed-8830711 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-88307112022-02-11 Tracking ebolavirus genomic drift with a resequencing microarray Tiper, Irina Kourout, Moussa Lanning, Bryan Fisher, Carolyn Konduru, Krishnamurthy Purkayastha, Anjan Kaplan, Gerardo Duncan, Robert PLoS One Research Article Filoviruses are emerging pathogens that cause acute fever with high fatality rate and present a global public health threat. During the 2013–2016 Ebola virus outbreak, genome sequencing allowed the study of virus evolution, mutations affecting pathogenicity and infectivity, and tracing the viral spread. In 2018, early sequence identification of the Ebolavirus as EBOV in the Democratic Republic of the Congo supported the use of an Ebola virus vaccine. However, field-deployable sequencing methods are needed to enable a rapid public health response. Resequencing microarrays (RMA) are a targeted method to obtain genomic sequence on clinical specimens rapidly, and sensitively, overcoming the need for extensive bioinformatic analysis. This study presents the design and initial evaluation of an ebolavirus resequencing microarray (Ebolavirus-RMA) system for sequencing the major genomic regions of four Ebolaviruses that cause disease in humans. The design of the Ebolavirus-RMA system is described and evaluated by sequencing repository samples of three Ebolaviruses and two EBOV variants. The ability of the system to identify genetic drift in a replicating virus was achieved by sequencing the ebolavirus glycoprotein gene in a recombinant virus cultured under pressure from a neutralizing antibody. Comparison of the Ebolavirus-RMA results to the Genbank database sequence file with the accession number given for the source RNA and Ebolavirus-RMA results compared to Next Generation Sequence results of the same RNA samples showed up to 99% agreement. Public Library of Science 2022-02-10 /pmc/articles/PMC8830711/ /pubmed/35143574 http://dx.doi.org/10.1371/journal.pone.0263732 Text en https://creativecommons.org/publicdomain/zero/1.0/This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 (https://creativecommons.org/publicdomain/zero/1.0/) public domain dedication. |
spellingShingle | Research Article Tiper, Irina Kourout, Moussa Lanning, Bryan Fisher, Carolyn Konduru, Krishnamurthy Purkayastha, Anjan Kaplan, Gerardo Duncan, Robert Tracking ebolavirus genomic drift with a resequencing microarray |
title | Tracking ebolavirus genomic drift with a resequencing microarray |
title_full | Tracking ebolavirus genomic drift with a resequencing microarray |
title_fullStr | Tracking ebolavirus genomic drift with a resequencing microarray |
title_full_unstemmed | Tracking ebolavirus genomic drift with a resequencing microarray |
title_short | Tracking ebolavirus genomic drift with a resequencing microarray |
title_sort | tracking ebolavirus genomic drift with a resequencing microarray |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8830711/ https://www.ncbi.nlm.nih.gov/pubmed/35143574 http://dx.doi.org/10.1371/journal.pone.0263732 |
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