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. 2017 Sep 14;3(10):e000132.
doi: 10.1099/mgen.0.000132. eCollection 2017 Oct.

Completing bacterial genome assemblies with multiplex MinION sequencing

Affiliations

Completing bacterial genome assemblies with multiplex MinION sequencing

Ryan R Wick et al. Microb Genom. .

Abstract

Illumina sequencing platforms have enabled widespread bacterial whole genome sequencing. While Illumina data is appropriate for many analyses, its short read length limits its ability to resolve genomic structure. This has major implications for tracking the spread of mobile genetic elements, including those which carry antimicrobial resistance determinants. Fully resolving a bacterial genome requires long-read sequencing such as those generated by Oxford Nanopore Technologies (ONT) platforms. Here we describe our use of the ONT MinION to sequence 12 isolates of Klebsiella pneumoniae on a single flow cell. We assembled each genome using a combination of ONT reads and previously available Illumina reads, and little to no manual intervention was needed to achieve fully resolved assemblies using the Unicycler hybrid assembler. Assembling only ONT reads with Canu was less effective, resulting in fewer resolved genomes and higher error rates even following error correction with Nanopolish. We demonstrate that multiplexed ONT sequencing is a valuable tool for high-throughput bacterial genome finishing. Specifically, we advocate the use of Illumina sequencing as a first analysis step, followed by ONT reads as needed to resolve genomic structure.

Keywords: Klebsiella pneumoniae; genome assembly; hybrid assembly; long-read sequencing; multiplex sequencing; oxford nanopore.

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Figures

Fig. 1.
Fig. 1.
Assembly graphs and length distribution of ONT reads for each K. pneumoniae isolate. Both Illumina-only and hybrid assembly graphs were produced with Unicycler (v0.4.0). ONT total yield for each sample is shown on the top right of each histogram. Read N50 length is indicated on each histogram with a dotted line. An asterisk indicates the Illumina library was prepared using Nextera (all others used TruSeq).

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