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Bacteriology

Optimizing DNA Extraction Methods for Nanopore Sequencing of Neisseria gonorrhoeae Directly from Urine Samples

Teresa L. Street, Leanne Barker, Nicholas D. Sanderson, James Kavanagh, Sarah Hoosdally, Kevin Cole, Robert Newnham, Mathyruban Selvaratnam, Monique Andersson, Martin J. Llewelyn, Justin O’Grady, Derrick W. Crook, David W. Eyre
Daniel J. Diekema, Editor
Teresa L. Street
aNuffield Department of Clinical Medicine, University of Oxford, John Radcliffe Hospital, Oxford, United Kingdom
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Leanne Barker
aNuffield Department of Clinical Medicine, University of Oxford, John Radcliffe Hospital, Oxford, United Kingdom
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Nicholas D. Sanderson
aNuffield Department of Clinical Medicine, University of Oxford, John Radcliffe Hospital, Oxford, United Kingdom
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James Kavanagh
aNuffield Department of Clinical Medicine, University of Oxford, John Radcliffe Hospital, Oxford, United Kingdom
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Sarah Hoosdally
aNuffield Department of Clinical Medicine, University of Oxford, John Radcliffe Hospital, Oxford, United Kingdom
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Kevin Cole
bDepartment of Microbiology and Infection, Royal Sussex County Hospital, Brighton, United Kingdom
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Robert Newnham
cMicrobiology Laboratory, John Radcliffe Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom
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Mathyruban Selvaratnam
cMicrobiology Laboratory, John Radcliffe Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom
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Monique Andersson
cMicrobiology Laboratory, John Radcliffe Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom
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Martin J. Llewelyn
bDepartment of Microbiology and Infection, Royal Sussex County Hospital, Brighton, United Kingdom
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Justin O’Grady
dQuadram Institute Bioscience, Norwich, United Kingdom
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Derrick W. Crook
aNuffield Department of Clinical Medicine, University of Oxford, John Radcliffe Hospital, Oxford, United Kingdom
eNational Institute for Health Research Oxford Biomedical Research Centre, John Radcliffe Hospital, Oxford, United Kingdom
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David W. Eyre
aNuffield Department of Clinical Medicine, University of Oxford, John Radcliffe Hospital, Oxford, United Kingdom
eNational Institute for Health Research Oxford Biomedical Research Centre, John Radcliffe Hospital, Oxford, United Kingdom
fBig Data Institute, University of Oxford, Oxford, United Kingdom
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Daniel J. Diekema
University of Iowa College of Medicine
Roles: Editor
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DOI: 10.1128/JCM.01822-19
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ABSTRACT

Empirical gonorrhea treatment at initial diagnosis reduces onward transmission. However, increasing resistance to multiple antibiotics may necessitate waiting for culture-based diagnostics to select an effective treatment. There is a need for same-day culture-free diagnostics that identify infection and detect antimicrobial resistance. We investigated if Nanopore sequencing can detect sufficient Neisseria gonorrhoeae DNA to reconstruct whole genomes directly from urine samples. We used N. gonorrhoeae-spiked urine samples and samples from gonorrhea infections to determine optimal DNA extraction methods that maximize the amount of N. gonorrhoeae DNA sequenced while minimizing contaminating host DNA. In simulated infections, the Qiagen UCP pathogen mini kit provided the highest ratio of N. gonorrhoeae to human DNA and the most consistent results. Depletion of human DNA with saponin increased N. gonorrhoeae yields in simulated infections but decreased yields in clinical samples. In 10 urine samples from men with symptomatic urethral gonorrhea, ≥92.8% coverage of an N. gonorrhoeae reference genome was achieved in all samples, with ≥93.8% coverage breath at ≥10-fold depth in 7 (70%) samples. In simulated infections, if ≥104 CFU/ml of N. gonorrhoeae was present, sequencing of the large majority of the genome was frequently achieved. N. gonorrhoeae could also be detected from urine in cobas PCR medium tubes and from urethral swabs and in the presence of simulated Chlamydia coinfection. Using Nanopore sequencing of urine samples from men with urethral gonorrhea, sufficient data can be obtained to reconstruct whole genomes in the majority of samples without the need for culture.

FOOTNOTES

    • Received 31 October 2019.
    • Returned for modification 22 November 2019.
    • Accepted 6 December 2019.
    • Accepted manuscript posted online 18 December 2019.
  • Supplemental material is available online only.

  • Copyright © 2020 Street et al.

This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license.

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Optimizing DNA Extraction Methods for Nanopore Sequencing of Neisseria gonorrhoeae Directly from Urine Samples
Teresa L. Street, Leanne Barker, Nicholas D. Sanderson, James Kavanagh, Sarah Hoosdally, Kevin Cole, Robert Newnham, Mathyruban Selvaratnam, Monique Andersson, Martin J. Llewelyn, Justin O’Grady, Derrick W. Crook, David W. Eyre the GonFast Investigators Group
Journal of Clinical Microbiology Feb 2020, 58 (3) e01822-19; DOI: 10.1128/JCM.01822-19

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Optimizing DNA Extraction Methods for Nanopore Sequencing of Neisseria gonorrhoeae Directly from Urine Samples
Teresa L. Street, Leanne Barker, Nicholas D. Sanderson, James Kavanagh, Sarah Hoosdally, Kevin Cole, Robert Newnham, Mathyruban Selvaratnam, Monique Andersson, Martin J. Llewelyn, Justin O’Grady, Derrick W. Crook, David W. Eyre the GonFast Investigators Group
Journal of Clinical Microbiology Feb 2020, 58 (3) e01822-19; DOI: 10.1128/JCM.01822-19
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KEYWORDS

DNA extraction
nanopore sequencing
Neisseria gonorrhoeae
whole-genome sequencing

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