MicroPIPE: validating an end-to-end workflow for high-quality complete bacterial genome construction.

Abstract:

BACKGROUND: Oxford Nanopore Technology (ONT) long-read sequencing has become a popular platform for microbial researchers due to the accessibility and affordability of its devices. However, easy and automated construction of high-quality bacterial genomes using nanopore reads remains challenging. Here we aimed to create a reproducible end-to-end bacterial genome assembly pipeline using ONT in combination with Illumina sequencing. RESULTS: We evaluated the performance of several popular tools used during genome reconstruction, including base-calling, filtering, assembly, and polishing. We also assessed overall genome accuracy using ONT both natively and with Illumina. All steps were validated using the high-quality complete reference genome for the Escherichia coli sequence type (ST)131 strain EC958. Software chosen at each stage were incorporated into our final pipeline, MicroPIPE. Further validation of MicroPIPE was carried out using 11 additional ST131 E. coli isolates, which demonstrated that complete circularised chromosomes and plasmids could be achieved without manual intervention. Twelve publicly available Gram-negative and Gram-positive bacterial genomes (with available raw ONT data and matched complete genomes) were also assembled using MicroPIPE. We found that revised basecalling and updated assembly of the majority of these genomes resulted in improved accuracy compared to the current publicly available complete genomes. CONCLUSIONS: MicroPIPE is built in modules using Singularity container images and the bioinformatics workflow manager Nextflow, allowing changes and adjustments to be made in response to future tool development. Overall, MicroPIPE provides an easy-access, end-to-end solution for attaining high-quality bacterial genomes. MicroPIPE is available at https://github.com/BeatsonLab-MicrobialGenomics/micropipe .

SEEK ID: https://workflowhub.eu/publications/5

PubMed ID: 34172000

Teams: QCIF Bioinformatics

Publication type: Journal

Journal: BMC Genomics

Citation: BMC Genomics. 2021 Jun 25;22(1):474. doi: 10.1186/s12864-021-07767-z.

Date Published: 25th Jun 2021

Registered Mode: by PubMed ID

Authors: V. Murigneux, L. W. Roberts, B. M. Forde, M. D. Phan, N. T. K. Nhu, A. D. Irwin, P. N. A. Harris, D. L. Paterson, M. A. Schembri, D. M. Whiley, S. A. Beatson

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Created: 9th Aug 2021 at 00:26

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