Abstract
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.
Original language | English |
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Pages (from-to) | 430-442 |
Number of pages | 13 |
Journal | Nature Microbiology |
Volume | 5 |
Issue number | 3 |
DOIs | |
Publication status | Published - 1 Mar 2020 |
Bibliographical note
Funding Information:R.M.L., D.H. and M.D.C.’s MinION work is supported by Biotechnology and Biological Sciences Research Council (BBSRC) Tools and Resources Development Fund award no. BB/N023196/1, BBSRC National Capability grant nos. BB/J010375/1 and BB/ CCG1720/1, BBSRC Institute Strategic Programme grant no. BB/J004669/1 and BBSRC Core Strategic Programme grant no. BB/CSP17270/1. This work was funded by a Wellcome Trust Investigator Award (no. 100/974/C/13/Z); a BBSRC Norwich Research Park Bioscience Doctoral Training grant no. BB/M011216/1 (supervisor L.J.H., students C.A.G. and M.K.); an Institute Strategic Programme Gut Microbes and Health grant no. BB/R012490/1 and its constituent projects BBS/E/F/000PR10353 and BBS/E/F/000PR10356; and an Institute Strategic Programme Gut Health and Food Safety grant no. BB/J004529/1 to L.J.H. Isolation work was funded by a Microbiology Society Research Visit grant no. RVG16/03 to T.C.B. L.H. is in receipt of a Medical Research Council Intermediate Research Fellowship in Data Science (UK MED-BIO, grant no. MR/L01632X/1). We are grateful for the assistance of the Genomics Pipelines team at Earlham Institute, as well as the NBI Computing Infrastructure for Science team. We are also grateful to research nurse K. Few for obtaining consent from parents and collecting the samples. We thank C. Bennett and S. Stanbridge of the Earlham Institute Communications team for producing the accompanying video. The following reagent was obtained through BEI Resources, National Institute of Allergy and Infectious Diseases, National Institutes of Health as part of the Human Microbiome Project: Genomic DNA from Microbial Mock Community B (Staggered, High Concentration), v.5.2H, for Whole Genome Shotgun Sequencing, HM-277D.
Publisher Copyright:
© 2019, The Author(s).
ASJC Scopus subject areas
- Microbiology
- Immunology
- Applied Microbiology and Biotechnology
- Genetics
- Microbiology (medical)
- Cell Biology