Comparison of bacterial genome assembly software for MinION data and their applicability to medical microbiology. Issue 9 (September 2016)
- Record Type:
- Journal Article
- Title:
- Comparison of bacterial genome assembly software for MinION data and their applicability to medical microbiology. Issue 9 (September 2016)
- Main Title:
- Comparison of bacterial genome assembly software for MinION data and their applicability to medical microbiology
- Authors:
- Judge, Kim
Hunt, Martin
Reuter, Sandra
Tracey, Alan
Quail, Michael A.
Parkhill, Julian
Peacock, Sharon J. - Abstract:
- Abstract : Translating the Oxford Nanopore MinION sequencing technology into medical microbiology requires on-going analysis that keeps pace with technological improvements to the instrument and release of associated analysis software. Here, we use a multidrug-resistant Enterobacter kobei isolate as a model organism to compare open source software for the assembly of genome data, and relate this to the time taken to generate actionable information. Three software tools (PBcR, Canu and miniasm) were used to assemble MinION data and a fourth (SPAdes) was used to combine MinION and Illumina data to produce a hybrid assembly. All four had a similar number of contigs and were more contiguous than the assembly using Illumina data alone, with SPAdes producing a single chromosomal contig. Evaluation of the four assemblies to represent the genome structure revealed a single large inversion in the SPAdes assembly, which also incorrectly integrated a plasmid into the chromosomal contig. Almost 50 %, 80 % and 90 % of MinION pass reads were generated in the first 6, 9 and 12 h, respectively. Using data from the first 6 h alone led to a less accurate, fragmented assembly, but data from the first 9 or 12 h generated similar assemblies to that from 48 h sequencing. Assemblies were generated in 2 h using Canu, indicating that going from isolate to assembled data is possible in less than 48 h. MinION data identified that genes responsible for resistance were carried by two plasmids encodingAbstract : Translating the Oxford Nanopore MinION sequencing technology into medical microbiology requires on-going analysis that keeps pace with technological improvements to the instrument and release of associated analysis software. Here, we use a multidrug-resistant Enterobacter kobei isolate as a model organism to compare open source software for the assembly of genome data, and relate this to the time taken to generate actionable information. Three software tools (PBcR, Canu and miniasm) were used to assemble MinION data and a fourth (SPAdes) was used to combine MinION and Illumina data to produce a hybrid assembly. All four had a similar number of contigs and were more contiguous than the assembly using Illumina data alone, with SPAdes producing a single chromosomal contig. Evaluation of the four assemblies to represent the genome structure revealed a single large inversion in the SPAdes assembly, which also incorrectly integrated a plasmid into the chromosomal contig. Almost 50 %, 80 % and 90 % of MinION pass reads were generated in the first 6, 9 and 12 h, respectively. Using data from the first 6 h alone led to a less accurate, fragmented assembly, but data from the first 9 or 12 h generated similar assemblies to that from 48 h sequencing. Assemblies were generated in 2 h using Canu, indicating that going from isolate to assembled data is possible in less than 48 h. MinION data identified that genes responsible for resistance were carried by two plasmids encoding resistance to carbapenem and to sulphonamides, rifampicin and aminoglycosides, respectively. … (more)
- Is Part Of:
- Microbial genomics. Volume 2:Issue 9(2016)
- Journal:
- Microbial genomics
- Issue:
- Volume 2:Issue 9(2016)
- Issue Display:
- Volume 2, Issue 9 (2016)
- Year:
- 2016
- Volume:
- 2
- Issue:
- 9
- Issue Sort Value:
- 2016-0002-0009-0000
- Page Start:
- Page End:
- Publication Date:
- 2016-09
- Subjects:
- MinION -- antimicrobial resistance -- assembly -- software -- long reads -- plasmid -- antimicrobial resistance -- assembly -- software -- long reads
Microbial genomics -- Periodicals
572.8629 - Journal URLs:
- https://www.microbiologyresearch.org/content/journal/mgen ↗
- DOI:
- 10.1099/mgen.0.000085 ↗
- Languages:
- English
- ISSNs:
- 2057-5858
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 11784.xml