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Rapid profiling of the preterm infant gut microbiota using nanopore sequencing aids pathogen diagnostics

View ORCID ProfileRichard M. Leggett, Cristina Alcon-Giner, View ORCID ProfileDarren Heavens, Shabhonam Caim, Thomas C. Brook, Magdalena Kujawska, Samuel Martin, View ORCID ProfileLesley Hoyles, Paul Clarke, View ORCID ProfileLindsay J. Hall, View ORCID ProfileMatthew D. Clark
doi: https://doi.org/10.1101/180406
Richard M. Leggett
1Earlham Institute, Norwich Research Park, Norwich, UK
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Cristina Alcon-Giner
2Quadram Institute Bioscience, Norwich Research Park, Norwich, UK
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Darren Heavens
1Earlham Institute, Norwich Research Park, Norwich, UK
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Shabhonam Caim
2Quadram Institute Bioscience, Norwich Research Park, Norwich, UK
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Thomas C. Brook
3University of Westminster, London, UK
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Magdalena Kujawska
2Quadram Institute Bioscience, Norwich Research Park, Norwich, UK
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Samuel Martin
1Earlham Institute, Norwich Research Park, Norwich, UK
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Lesley Hoyles
4Imperial College London, London, UK
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Paul Clarke
5Norfolk and Norwich University Hospital, Norwich, UK
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Lindsay J. Hall
2Quadram Institute Bioscience, Norwich Research Park, Norwich, UK
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Matthew D. Clark
1Earlham Institute, Norwich Research Park, Norwich, UK
6Natural History Museum, London, UK
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ABSTRACT

The Oxford Nanopore MinION sequencing platform offers near real time analysis of DNA reads as they are generated, which makes the device attractive for in-field or clinical deployment, e.g. rapid diagnostics. We used the MinION platform for shotgun metagenomic sequencing and analysis of gut-associated microbial communities; firstly, we used a 20-species human microbiota mock community to demonstrate how Nanopore metagenomic sequence data can be reliably and rapidly classified. Secondly, we profiled faecal microbiomes from preterm infants at increased risk of necrotising enterocolitis and sepsis. In single patient time course, we captured the diversity of the immature gut microbiota and observed how its complexity changes over time in response to interventions, i.e. probiotic, antibiotics and episodes of suspected sepsis. Finally, we performed ‘real-time’ runs from sample to analysis using faecal samples of critically ill infants and of healthy infants receiving probiotic supplementation. Real-time analysis was facilitated by our new NanoOK RT software package which analysed sequences as they were generated. We reliably identified potentially pathogenic taxa (i.e. Klebsiella pneumoniae and Enterobacter cloacae) and their corresponding antimicrobial resistance (AMR) gene profiles within as little as one hour of sequencing. Antibiotic treatment decisions may be rapidly modified in response to these AMR profiles, which we validated using pathogen isolation, whole genome sequencing and antibiotic susceptibility testing. Our results demonstrate that our pipeline can process clinical samples to a rich dataset able to inform tailored patient antimicrobial treatment in less than 5 hours.

Footnotes

  • ↵# Joint first author

  • ↵† Joint last author

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted October 12, 2018.
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Rapid profiling of the preterm infant gut microbiota using nanopore sequencing aids pathogen diagnostics
Richard M. Leggett, Cristina Alcon-Giner, Darren Heavens, Shabhonam Caim, Thomas C. Brook, Magdalena Kujawska, Samuel Martin, Lesley Hoyles, Paul Clarke, Lindsay J. Hall, Matthew D. Clark
bioRxiv 180406; doi: https://doi.org/10.1101/180406
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Rapid profiling of the preterm infant gut microbiota using nanopore sequencing aids pathogen diagnostics
Richard M. Leggett, Cristina Alcon-Giner, Darren Heavens, Shabhonam Caim, Thomas C. Brook, Magdalena Kujawska, Samuel Martin, Lesley Hoyles, Paul Clarke, Lindsay J. Hall, Matthew D. Clark
bioRxiv 180406; doi: https://doi.org/10.1101/180406

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