A complete bacterial genome assembled de novo using only nanopore sequencing data (original) (raw)
- Brief Communication
- Published: 15 June 2015
Nature Methods volume 12, pages 733–735 (2015)Cite this article
- 30k Accesses
- 1313 Citations
- 174 Altmetric
- Metrics details
Subjects
Abstract
We have assembled de novo the Escherichia coli K-12 MG1655 chromosome in a single 4.6-Mb contig using only nanopore data. Our method has three stages: (i) overlaps are detected between reads and then corrected by a multiple-alignment process; (ii) corrected reads are assembled using the Celera Assembler; and (iii) the assembly is polished using a probabilistic model of the signal-level data. The assembly reconstructs gene order and has 99.5% nucleotide identity.
This is a preview of subscription content, access via your institution
Access options
Subscribe to this journal
Receive 12 print issues and online access
$259.00 per year
only $21.58 per issue
Buy this article
- Purchase on SpringerLink
- Instant access to the full article PDF.
USD 39.95
Prices may be subject to local taxes which are calculated during checkout
Additional access options:
Similar content being viewed by others
Accession codes
Primary accessions
European Nucleotide Archive
References
- Jain, M. et al. Nat. Methods 12, 351–356 (2015).
Article CAS Google Scholar - Koren, S. et al. Genome Biol. 14, R101 (2013).
Article Google Scholar - Koren, S. et al. Nat. Biotechnol. 30, 693–700 (2012).
Article CAS Google Scholar - Rasko, D.A. et al. N. Engl. J. Med. 365, 709–717 (2011).
Article CAS Google Scholar - Chin, C.-S. et al. Nat. Methods 10, 563–569 (2013).
Article CAS Google Scholar - Kim, K.E. et al. Sci. Data 1, 140045 (2014).
Article CAS Google Scholar - Koren, S. & Phillippy, A.M. Curr. Opin. Microbiol. 23, 110–120 (2015).
Article CAS Google Scholar - Quick, J., Quinlan, A.R. & Loman, N.J. Gigascience 3, 22 (2014).
Article Google Scholar - Goodwin, S. et al. Preprint at bioRxiv 10.1101/013490 (2015).
- Loman, N.J. & Quinlan, A.R. Bioinformatics 30, 3399–3401 (2014).
Article CAS Google Scholar - Myers, G. in Int. Workshop Algorithms Bioinformatics (eds. Brown, D. & Morgenstern, B.) 52–67 (Springer, 2014).
- Lee, C., Grasso, C. & Sharlow, M.F. Bioinformatics 18, 452–464 (2002).
Article CAS Google Scholar - Myers, E.W. et al. Science 287, 2196–2204 (2000).
Article CAS Google Scholar - Gurevich, A., Saveliev, V., Vyahhi, N. & Tesler, G. Bioinformatics 29, 1072–1075 (2013).
Article CAS Google Scholar - Darling, A.E., Mau, B. & Perna, N.T. PLoS ONE 5, e11147 (2010).
Article Google Scholar - Milne, I. et al. Brief. Bioinform. 14, 193–202 (2013).
Article CAS Google Scholar - Treangen, T.J., Sommer, D.D., Angly, F.E., Koren, S. & Pop, M. Curr. Protoc. Bioinformatics 33, 11.8 (2011).
Google Scholar - Delcher, A.L., Phillippy, A., Carlton, J. & Salzberg, S.L. Nucleic Acids Res. 30, 2478–2483 (2002).
Article Google Scholar - Li, H. Preprint at http://arxiv.org/abs/1303.3997 (2013).
- Quinlan, A.R. & Hall, I.M. Bioinformatics 26, 841–842 (2010).
Article CAS Google Scholar - Cock, P.J.A. et al. Bioinformatics 25, 1422–1423 (2009).
Article CAS Google Scholar
Acknowledgements
Data analysis was performed on the Medical Research Council Cloud Infrastructure for Microbial Bioinformatics (CLIMB) cyberinfrastructure. N.J.L. is funded by a Medical Research Council Special Training Fellowship in Biomedical Informatics. J.Q. is funded by the UK National Institute for Health Research (NIHR) Surgical Reconstruction and Microbiology Research Centre. J.T.S. is supported by the Ontario Institute for Cancer Research through funding provided by the Government of Ontario. We thank the staff of Oxford Nanopore for technical help and advice during the MinION Access Programme. We are grateful to the EU COST action ES1103, whose funding allowed us to attend a hackathon that kick-started the work presented here. We thank L. Parts for comments on the manuscript and H. Eno for help with proofreading.
Author information
Authors and Affiliations
- Institute of Microbiology and Infection, University of Birmingham, Birmingham, UK
Nicholas J Loman & Joshua Quick - Ontario Institute for Cancer Research, Toronto, Ontario, Canada
Jared T Simpson - Department of Computer Science, University of Toronto, Toronto, Ontario, Canada
Jared T Simpson
Authors
- Nicholas J Loman
- Joshua Quick
- Jared T Simpson
Contributions
N.J.L. and J.T.S. conceived the project. N.J.L., J.Q. and J.T.S. implemented the Nanocorrect pipeline. J.T.S. conceived and implemented the Nanopolish pipeline. J.Q. generated the nanopore E. coli sequence data. N.J.L. and J.T.S. performed de novo assembly and analyzed the results. N.J.L. and J.T.S. wrote the manuscript. All authors approved the final manuscript.
Corresponding author
Correspondence toJared T Simpson.
Ethics declarations
Competing interests
N.J.L. and J.T.S. are members of the MinION Access Programme (MAP). N.J.L. has received free-of-charge reagents for nanopore sequencing presented in this study. N.J.L., J.Q. and J.T.S. have received travel and accommodation expenses to speak at an Oxford Nanopore–organized symposium. N.J.L. and J.Q. have ongoing research collaborations with Oxford Nanopore but do not receive financial compensation for this.
Integrated supplementary information
Supplementary information
Rights and permissions
About this article
Cite this article
Loman, N., Quick, J. & Simpson, J. A complete bacterial genome assembled de novo using only nanopore sequencing data.Nat Methods 12, 733–735 (2015). https://doi.org/10.1038/nmeth.3444
- Received: 11 March 2015
- Accepted: 22 May 2015
- Published: 15 June 2015
- Issue date: August 2015
- DOI: https://doi.org/10.1038/nmeth.3444