Antimicrobial resistance prediction and phylogenetic analysis of Neisseria gonorrhoeae isolates using the Oxford Nanopore MinION sequencer. Issue 1 (December 2018)
- Record Type:
- Journal Article
- Title:
- Antimicrobial resistance prediction and phylogenetic analysis of Neisseria gonorrhoeae isolates using the Oxford Nanopore MinION sequencer. Issue 1 (December 2018)
- Main Title:
- Antimicrobial resistance prediction and phylogenetic analysis of Neisseria gonorrhoeae isolates using the Oxford Nanopore MinION sequencer
- Authors:
- Golparian, Daniel
Donà, Valentina
Sánchez-Busó, Leonor
Foerster, Sunniva
Harris, Simon
Endimiani, Andrea
Low, Nicola
Unemo, Magnus - Abstract:
- Abstract Antimicrobial resistance (AMR) inNeisseria gonorrhoeae is common, compromising gonorrhoea treatment internationally. Rapid characterisation of AMR strains could ensure appropriate and personalised treatment, and support identification and investigation of gonorrhoea outbreaks in nearly real-time. Whole-genome sequencing is ideal for investigation of emergence and dissemination of AMR determinants, predicting AMR, in the gonococcal population and spread of AMR strains in the human population. The novel, rapid and revolutionary long-read sequencer MinION is a small hand-held device that generates bacterial genomes within one day. However, accuracy of MinION reads has been suboptimal for many objectives and the MinION has not been evaluated for gonococci. In this first MinION study for gonococci, we show that MinION-derived sequences analysed with existing open-access, web-based sequence analysis tools are not sufficiently accurate to identify key gonococcal AMR determinants. Nevertheless, using anin house- developed CLC Genomics Workbench includingde novo assembly and optimised BLAST algorithms, we show that 2D ONT-derived sequences can be used for accurate prediction of decreased susceptibility or resistance to recommended antimicrobials in gonococcal isolates. We also show that the 2D ONT-derived sequences are useful for rapid phylogenomic-based molecular epidemiological investigations, and, in hybrid assemblies with Illumina sequences, for producing contiguousAbstract Antimicrobial resistance (AMR) inNeisseria gonorrhoeae is common, compromising gonorrhoea treatment internationally. Rapid characterisation of AMR strains could ensure appropriate and personalised treatment, and support identification and investigation of gonorrhoea outbreaks in nearly real-time. Whole-genome sequencing is ideal for investigation of emergence and dissemination of AMR determinants, predicting AMR, in the gonococcal population and spread of AMR strains in the human population. The novel, rapid and revolutionary long-read sequencer MinION is a small hand-held device that generates bacterial genomes within one day. However, accuracy of MinION reads has been suboptimal for many objectives and the MinION has not been evaluated for gonococci. In this first MinION study for gonococci, we show that MinION-derived sequences analysed with existing open-access, web-based sequence analysis tools are not sufficiently accurate to identify key gonococcal AMR determinants. Nevertheless, using anin house- developed CLC Genomics Workbench includingde novo assembly and optimised BLAST algorithms, we show that 2D ONT-derived sequences can be used for accurate prediction of decreased susceptibility or resistance to recommended antimicrobials in gonococcal isolates. We also show that the 2D ONT-derived sequences are useful for rapid phylogenomic-based molecular epidemiological investigations, and, in hybrid assemblies with Illumina sequences, for producing contiguous assemblies and finished reference genomes. … (more)
- Is Part Of:
- Scientific reports. Volume 8:Issue 1(2018)
- Journal:
- Scientific reports
- Issue:
- Volume 8:Issue 1(2018)
- Issue Display:
- Volume 8, Issue 1 (2018)
- Year:
- 2018
- Volume:
- 8
- Issue:
- 1
- Issue Sort Value:
- 2018-0008-0001-0000
- Page Start:
- 1
- Page End:
- 12
- Publication Date:
- 2018-12
- Subjects:
- Natural history -- Research -- Periodicals
Biology -- Research -- Periodicals
Physical sciences -- Research -- Periodicals
Earth sciences -- Research -- Periodicals
Environmental sciences -- Research -- Periodicals
502.85 - Journal URLs:
- http://www.nature.com/ ↗
http://www.nature.com/srep/index.html ↗ - DOI:
- 10.1038/s41598-018-35750-4 ↗
- Languages:
- English
- ISSNs:
- 2045-2322
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 12694.xml