Investigating the sequence variation in the influenza A matrix genes during the 2017-2018 and 2018-2019 seasons in samples from a local population in London.

Diagnostic testing Influenza A virus Matrix gene Real-time reverse transcription PCR Respiratory virus

Journal

Journal of virological methods
ISSN: 1879-0984
Titre abrégé: J Virol Methods
Pays: Netherlands
ID NLM: 8005839

Informations de publication

Date de publication:
11 2021
Historique:
received: 01 04 2021
revised: 27 07 2021
accepted: 28 07 2021
pubmed: 3 8 2021
medline: 22 3 2022
entrez: 2 8 2021
Statut: ppublish

Résumé

Recent publications have highlighted the emergence of mutations in the M1 gene of both influenza A H1N1pdm09 and H3N2 subtypes affecting the performance of commercial RT-PCR assays. Respiratory samples from the 2018/2019 season positive by our in-house RT-PCR for influenza A were analysed for the prevalence and impact of any M1 gene mutations. Sequence information was used to re-design primers for our routine assay and their performance assessed. Forty-five samples, consisting of 11 H1N1pdm09 and 34 H3N2 subtypes, together with the NIBSC H1N1 control were sequenced. All samples displayed the core mutations for H1N1 M1(C154T; G174A and G238A) and for H3N2 M1(C153T; C163T and G189T); three of the H1N1pdm09 viruses also showed a small number of point mutations. None of the mutations appeared to affect either the sensitivity or efficiency of the RT-PCR when compared to the re-designed primers. Although the mutations we found agreed with those in the publications cited we did not encounter any problems with our routine diagnostic assay and no improvements were found when the primers were modified to suit those mutations. However, it is likely that the influenza A virus M1 gene will accumulate further mutations that could impact RT-PCR assays and, therefore, it would be prudent to implement routine sequencing of samples during the influenza seasons to ensure no loss in assay performance.

Identifiants

pubmed: 34339766
pii: S0166-0934(21)00189-0
doi: 10.1016/j.jviromet.2021.114250
pii:
doi:

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

114250

Informations de copyright

Copyright © 2021 Elsevier B.V. All rights reserved.

Auteurs

James Finch (J)

Viapath Analytics, South London Specialist Virology Centre, King's College Hospital NHS Foundation Trust, Denmark Hill, London, SE5 9RS, United Kingdom.

Mark Zuckerman (M)

Viapath Analytics, South London Specialist Virology Centre, King's College Hospital NHS Foundation Trust, Denmark Hill, London, SE5 9RS, United Kingdom.

Melvyn Smith (M)

Viapath Analytics, South London Specialist Virology Centre, King's College Hospital NHS Foundation Trust, Denmark Hill, London, SE5 9RS, United Kingdom. Electronic address: melvyn.smith@kcl.ac.uk.

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Classifications MeSH