Rapid and Sensitive Direct Detection and Identification of Poliovirus from Stool and Environmental Surveillance Samples by Use of Nanopore Sequencing.


Journal

Journal of clinical microbiology
ISSN: 1098-660X
Titre abrégé: J Clin Microbiol
Pays: United States
ID NLM: 7505564

Informations de publication

Date de publication:
24 08 2020
Historique:
received: 29 04 2020
accepted: 29 06 2020
pubmed: 3 7 2020
medline: 24 6 2021
entrez: 3 7 2020
Statut: epublish

Résumé

Global poliovirus surveillance involves virus isolation from stool and environmental samples, intratypic differential (ITD) by PCR, and sequencing of the VP1 region to distinguish vaccine (Sabin), vaccine-derived, and wild-type polioviruses and to ensure an appropriate response. This cell culture algorithm takes 2 to 3 weeks on average between sample receipt and sequencing. Direct detection of viral RNA using PCR allows faster detection but has traditionally faced challenges related to poor sensitivity and difficulties in sequencing common samples containing poliovirus and enterovirus mixtures. We present a nested PCR and nanopore sequencing protocol that allows rapid (<3 days) and sensitive direct detection and sequencing of polioviruses in stool and environmental samples. We developed barcoded primers and a real-time analysis platform that generate accurate VP1 consensus sequences from multiplexed samples. The sensitivity and specificity of our protocol compared with those of cell culture were 90.9% (95% confidence interval, 75.7% to 98.1%) and 99.2% (95.5% to 100.0%) for wild-type 1 poliovirus, 92.5% (79.6% to 98.4%) and 98.7% (95.4% to 99.8%) for vaccine and vaccine-derived serotype 2 poliovirus, and 88.3% (81.2% to 93.5%) and 93.2% (88.6% to 96.3%) for Sabin 1 and 3 poliovirus alone or in mixtures when tested on 155 stool samples in Pakistan. Variant analysis of sequencing reads also allowed the identification of polioviruses and enteroviruses in artificial mixtures and was able to distinguish complex mixtures of polioviruses in environmental samples. The median identity of consensus nanopore sequences with Sanger or Illumina sequences from the same samples was >99.9%. This novel method shows promise as a faster and safer alternative to cell culture for the detection and real-time sequencing of polioviruses in stool and environmental samples.

Identifiants

pubmed: 32611795
pii: JCM.00920-20
doi: 10.1128/JCM.00920-20
pmc: PMC7448630
pii:
doi:

Substances chimiques

Poliovirus Vaccine, Oral 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Wellcome Trust
Pays : United Kingdom
Organisme : World Health Organization
ID : 001
Pays : International
Organisme : Medical Research Council
ID : MR/R015600/1
Pays : United Kingdom
Organisme : Wellcome Trust
ID : 206298/Z/17/Z
Pays : United Kingdom

Informations de copyright

Copyright © 2020 Shaw et al.

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Auteurs

Alexander G Shaw (AG)

Department of Infectious Disease Epidemiology, Imperial College London, London, United Kingdom a.shaw@imperial.ac.uk.

Manasi Majumdar (M)

Division of Virology, National Institute for Biological Standards and Control (NIBSC), Herts, United Kingdom.

Catherine Troman (C)

Department of Infectious Disease Epidemiology, Imperial College London, London, United Kingdom.

Áine O'Toole (Á)

Institute of Evolutionary Biology, University of Edinburgh, Ashworth Laboratories, Edinburgh, United Kingdom.

Blossom Benny (B)

Division of Gastrointestinal Sciences, Christian Medical College, Vellore, India.

Dilip Abraham (D)

Division of Gastrointestinal Sciences, Christian Medical College, Vellore, India.

Ira Praharaj (I)

Division of Epidemiology & Communicable Diseases, Indian Council of Medical Research, New Delhi, India.

Gagandeep Kang (G)

Division of Gastrointestinal Sciences, Christian Medical College, Vellore, India.

Salmaan Sharif (S)

Department of Virology, National Institute for Health, Islamabad, Pakistan.

Muhammad Masroor Alam (MM)

Department of Virology, National Institute for Health, Islamabad, Pakistan.

Shahzad Shaukat (S)

Department of Virology, National Institute for Health, Islamabad, Pakistan.

Mehar Angez (M)

Department of Virology, National Institute for Health, Islamabad, Pakistan.

Adnan Khurshid (A)

Department of Virology, National Institute for Health, Islamabad, Pakistan.

Nayab Mahmood (N)

Department of Virology, National Institute for Health, Islamabad, Pakistan.

Yasir Arshad (Y)

Department of Virology, National Institute for Health, Islamabad, Pakistan.

Lubna Rehman (L)

Department of Virology, National Institute for Health, Islamabad, Pakistan.

Ghulam Mujtaba (G)

Department of Virology, National Institute for Health, Islamabad, Pakistan.

Ribqa Akthar (R)

Department of Virology, National Institute for Health, Islamabad, Pakistan.

Muhammad Salman (M)

Department of Virology, National Institute for Health, Islamabad, Pakistan.

Dimitra Klapsa (D)

Division of Virology, National Institute for Biological Standards and Control (NIBSC), Herts, United Kingdom.

Yara Hajarha (Y)

Division of Virology, National Institute for Biological Standards and Control (NIBSC), Herts, United Kingdom.

Humayun Asghar (H)

World Health Organization Eastern Mediterranean Regional Office, Amman, Jordan.

Ananda Bandyopadhyay (A)

Bill and Melinda Gates Foundation, Seattle, Washington, USA.

Andrew Rambaut (A)

Institute of Evolutionary Biology, University of Edinburgh, Ashworth Laboratories, Edinburgh, United Kingdom.

Javier Martin (J)

Division of Virology, National Institute for Biological Standards and Control (NIBSC), Herts, United Kingdom.

Nicholas Grassly (N)

Department of Infectious Disease Epidemiology, Imperial College London, London, United Kingdom.

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Classifications MeSH