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Metagenomic surveillance for bacterial tick-borne pathogens using nanopore adaptive sampling
Technological and computational advancements in the fields of genomics and bioinformatics are providing exciting new opportunities for pathogen discovery and genomic surveillance. In particular, single-molecule nucleotide sequence data originating from Oxford Nanopore Technologies (ONT) sequencing p...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10328957/ https://www.ncbi.nlm.nih.gov/pubmed/37419899 http://dx.doi.org/10.1038/s41598-023-37134-9 |
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author | Kipp, Evan J. Lindsey, Laramie L. Khoo, Benedict Faulk, Christopher Oliver, Jonathan D. Larsen, Peter A. |
author_facet | Kipp, Evan J. Lindsey, Laramie L. Khoo, Benedict Faulk, Christopher Oliver, Jonathan D. Larsen, Peter A. |
author_sort | Kipp, Evan J. |
collection | PubMed |
description | Technological and computational advancements in the fields of genomics and bioinformatics are providing exciting new opportunities for pathogen discovery and genomic surveillance. In particular, single-molecule nucleotide sequence data originating from Oxford Nanopore Technologies (ONT) sequencing platforms can be bioinformatically leveraged, in real-time, for enhanced biosurveillance of a vast array of zoonoses. The recently released nanopore adaptive sampling (NAS) strategy facilitates immediate mapping of individual nucleotide molecules to a given reference as each molecule is being sequenced. User-defined thresholds then allow for the retention or rejection of specific molecules, informed by the real-time reference mapping results, as they are physically passing through a given sequencing nanopore. Here, we show how NAS can be used to selectively sequence DNA of multiple bacterial tick-borne pathogens circulating in wild populations of the blacklegged tick vector, Ixodes scapularis. |
format | Online Article Text |
id | pubmed-10328957 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-103289572023-07-09 Metagenomic surveillance for bacterial tick-borne pathogens using nanopore adaptive sampling Kipp, Evan J. Lindsey, Laramie L. Khoo, Benedict Faulk, Christopher Oliver, Jonathan D. Larsen, Peter A. Sci Rep Article Technological and computational advancements in the fields of genomics and bioinformatics are providing exciting new opportunities for pathogen discovery and genomic surveillance. In particular, single-molecule nucleotide sequence data originating from Oxford Nanopore Technologies (ONT) sequencing platforms can be bioinformatically leveraged, in real-time, for enhanced biosurveillance of a vast array of zoonoses. The recently released nanopore adaptive sampling (NAS) strategy facilitates immediate mapping of individual nucleotide molecules to a given reference as each molecule is being sequenced. User-defined thresholds then allow for the retention or rejection of specific molecules, informed by the real-time reference mapping results, as they are physically passing through a given sequencing nanopore. Here, we show how NAS can be used to selectively sequence DNA of multiple bacterial tick-borne pathogens circulating in wild populations of the blacklegged tick vector, Ixodes scapularis. Nature Publishing Group UK 2023-07-07 /pmc/articles/PMC10328957/ /pubmed/37419899 http://dx.doi.org/10.1038/s41598-023-37134-9 Text en © The Author(s) 2023 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 Kipp, Evan J. Lindsey, Laramie L. Khoo, Benedict Faulk, Christopher Oliver, Jonathan D. Larsen, Peter A. Metagenomic surveillance for bacterial tick-borne pathogens using nanopore adaptive sampling |
title | Metagenomic surveillance for bacterial tick-borne pathogens using nanopore adaptive sampling |
title_full | Metagenomic surveillance for bacterial tick-borne pathogens using nanopore adaptive sampling |
title_fullStr | Metagenomic surveillance for bacterial tick-borne pathogens using nanopore adaptive sampling |
title_full_unstemmed | Metagenomic surveillance for bacterial tick-borne pathogens using nanopore adaptive sampling |
title_short | Metagenomic surveillance for bacterial tick-borne pathogens using nanopore adaptive sampling |
title_sort | metagenomic surveillance for bacterial tick-borne pathogens using nanopore adaptive sampling |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10328957/ https://www.ncbi.nlm.nih.gov/pubmed/37419899 http://dx.doi.org/10.1038/s41598-023-37134-9 |
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