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Rapid MinION profiling of preterm microbiota and antimicrobial-resistant pathogens
The MinION sequencing platform offers near real-time analysis of DNA sequence; this makes the tool attractive for deployment in fieldwork or clinical settings. We used the MinION platform coupled to the NanoOK RT software package to perform shotgun metagenomic sequencing and profile mock communities...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7044117/ https://www.ncbi.nlm.nih.gov/pubmed/31844297 http://dx.doi.org/10.1038/s41564-019-0626-z |
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author | Leggett, Richard M. Alcon-Giner, Cristina Heavens, Darren Caim, Shabhonam Brook, Thomas C. Kujawska, Magdalena Martin, Samuel Peel, Ned Acford-Palmer, Holly Hoyles, Lesley Clarke, Paul Hall, Lindsay J. Clark, Matthew D. |
author_facet | Leggett, Richard M. Alcon-Giner, Cristina Heavens, Darren Caim, Shabhonam Brook, Thomas C. Kujawska, Magdalena Martin, Samuel Peel, Ned Acford-Palmer, Holly Hoyles, Lesley Clarke, Paul Hall, Lindsay J. Clark, Matthew D. |
author_sort | Leggett, Richard M. |
collection | PubMed |
description | The MinION sequencing platform offers near real-time analysis of DNA sequence; this makes the tool attractive for deployment in fieldwork or clinical settings. We used the MinION platform coupled to the NanoOK RT software package to perform shotgun metagenomic sequencing and profile mock communities and faecal samples from healthy and ill preterm infants. Using Nanopore data, we reliably classified a 20-species mock community and captured the diversity of the immature gut microbiota over time and in response to interventions such as probiotic supplementation, antibiotic treatment or episodes of suspected sepsis. We also performed rapid real-time runs to assess gut-associated microbial communities in critically ill and healthy infants, facilitated by NanoOK RT software package, which analysed sequences as they were generated. Our pipeline reliably identified pathogenic bacteria (that is, Klebsiella pneumoniae and Enterobacter cloacae) and their corresponding antimicrobial resistance gene profiles within as little as 1 h of sequencing. Results were confirmed using pathogen isolation, whole-genome sequencing and antibiotic susceptibility testing, as well as mock communities and clinical samples with known antimicrobial resistance genes. Our results demonstrate that MinION (including cost-effective Flongle flow cells) with NanoOK RT can process metagenomic samples to a rich dataset in < 5 h, which creates a platform for future studies aimed at developing these tools and approaches in clinical settings with a focus on providing tailored patient antimicrobial treatment options. |
format | Online Article Text |
id | pubmed-7044117 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-70441172020-03-04 Rapid MinION profiling of preterm microbiota and antimicrobial-resistant pathogens Leggett, Richard M. Alcon-Giner, Cristina Heavens, Darren Caim, Shabhonam Brook, Thomas C. Kujawska, Magdalena Martin, Samuel Peel, Ned Acford-Palmer, Holly Hoyles, Lesley Clarke, Paul Hall, Lindsay J. Clark, Matthew D. Nat Microbiol Article The MinION sequencing platform offers near real-time analysis of DNA sequence; this makes the tool attractive for deployment in fieldwork or clinical settings. We used the MinION platform coupled to the NanoOK RT software package to perform shotgun metagenomic sequencing and profile mock communities and faecal samples from healthy and ill preterm infants. Using Nanopore data, we reliably classified a 20-species mock community and captured the diversity of the immature gut microbiota over time and in response to interventions such as probiotic supplementation, antibiotic treatment or episodes of suspected sepsis. We also performed rapid real-time runs to assess gut-associated microbial communities in critically ill and healthy infants, facilitated by NanoOK RT software package, which analysed sequences as they were generated. Our pipeline reliably identified pathogenic bacteria (that is, Klebsiella pneumoniae and Enterobacter cloacae) and their corresponding antimicrobial resistance gene profiles within as little as 1 h of sequencing. Results were confirmed using pathogen isolation, whole-genome sequencing and antibiotic susceptibility testing, as well as mock communities and clinical samples with known antimicrobial resistance genes. Our results demonstrate that MinION (including cost-effective Flongle flow cells) with NanoOK RT can process metagenomic samples to a rich dataset in < 5 h, which creates a platform for future studies aimed at developing these tools and approaches in clinical settings with a focus on providing tailored patient antimicrobial treatment options. Nature Publishing Group UK 2019-12-16 2020 /pmc/articles/PMC7044117/ /pubmed/31844297 http://dx.doi.org/10.1038/s41564-019-0626-z Text en © The Author(s) 2019 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 Leggett, Richard M. Alcon-Giner, Cristina Heavens, Darren Caim, Shabhonam Brook, Thomas C. Kujawska, Magdalena Martin, Samuel Peel, Ned Acford-Palmer, Holly Hoyles, Lesley Clarke, Paul Hall, Lindsay J. Clark, Matthew D. Rapid MinION profiling of preterm microbiota and antimicrobial-resistant pathogens |
title | Rapid MinION profiling of preterm microbiota and antimicrobial-resistant pathogens |
title_full | Rapid MinION profiling of preterm microbiota and antimicrobial-resistant pathogens |
title_fullStr | Rapid MinION profiling of preterm microbiota and antimicrobial-resistant pathogens |
title_full_unstemmed | Rapid MinION profiling of preterm microbiota and antimicrobial-resistant pathogens |
title_short | Rapid MinION profiling of preterm microbiota and antimicrobial-resistant pathogens |
title_sort | rapid minion profiling of preterm microbiota and antimicrobial-resistant pathogens |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7044117/ https://www.ncbi.nlm.nih.gov/pubmed/31844297 http://dx.doi.org/10.1038/s41564-019-0626-z |
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