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Evaluation of Oxford Nanopore MinIONTM Sequencing for 16S rRNA Microbiome Characterization

Xiao Ma, Elyse Stachler, View ORCID ProfileKyle Bibby
doi: https://doi.org/10.1101/099960
Xiao Ma
1Department of Civil and Environmental Engineering, University of Pittsburgh, Pittsburgh, PA 15261, USA
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Elyse Stachler
1Department of Civil and Environmental Engineering, University of Pittsburgh, Pittsburgh, PA 15261, USA
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Kyle Bibby
1Department of Civil and Environmental Engineering, University of Pittsburgh, Pittsburgh, PA 15261, USA
2Department of Computational and Systems Biology, University of Pittsburgh Medical School, Pittsburgh, PA 15261, USA
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  • ORCID record for Kyle Bibby
  • For correspondence: BibbyKJ@pitt.edu
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Abstract

In this manuscript we evaluate the potential for microbiome characterization by sequencing of near-full length 16S rRNA gene region fragments using the Oxford Nanopore MinION (hereafter ‘Nanopore’) sequencing platform. We analyzed pure-culture E. coli and P. flourescens, as well as a low-diversity mixed community sample from hydraulic fracturing produced water. Both closed and open reference operational taxonomic unit (OTU) picking failed, necessitating the direct use of sequences without OTU picking. The Ribosomal Database Project classifier against the Green Genes database was found to be the optimal annotation approach, with average pure-culture annotation accuracies of 93.8% and 82.0% at the phyla and genus levels, respectively. Comparative analysis of an environmental sample using Nanopore and Illumina MiSeq sequencing identified high taxonomic similarity when using a weighted metric (Bray-Curtis), and significantly reduced similarity when using an unweighted metric (Jaccard). These results highlight the great potential of Nanopore sequencing to analyze broad microbial community trends, and the challenge of applying Nanopore sequencing to discern rare taxa in mixed microbial communities. Finally, we observed that between-run carryover accounted for >10% of sequence reads, necessitating future development to either prevent carryover or filter sequences of interest (e.g. barcoding).

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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 January 12, 2017.
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Evaluation of Oxford Nanopore MinIONTM Sequencing for 16S rRNA Microbiome Characterization
Xiao Ma, Elyse Stachler, Kyle Bibby
bioRxiv 099960; doi: https://doi.org/10.1101/099960
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Evaluation of Oxford Nanopore MinIONTM Sequencing for 16S rRNA Microbiome Characterization
Xiao Ma, Elyse Stachler, Kyle Bibby
bioRxiv 099960; doi: https://doi.org/10.1101/099960

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