La Trobe

Rapid, in-field deployable, avian influenza virus haemagglutinin characterisation tool using MinION technology

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journal contribution
posted on 2024-07-11, 06:03 authored by Ellen de Vries, Noel CoganNoel Cogan, AJ Gubala, Peter MeePeter Mee, KJ O’Riley, Brendan RodoniBrendan Rodoni, SE Lynch
Outbreaks of avian influenza virus (AIV) from wild waterfowl into the poultry industry is of upmost significance and is an ongoing and constant threat to the industry. Accurate surveillance of AIV in wild waterfowl is critical in understanding viral diversity in the natural reservoir. Current surveillance methods for AIV involve collection of samples and transportation to a laboratory for molecular diagnostics. Processing of samples using this approach takes more than three days and may limit testing locations to those with practical access to laboratories. In potential outbreak situations, response times are critical, and delays have implications in terms of the spread of the virus that leads to increased economic cost. This study used nanopore sequencing technology for in-field sequencing and subtype characterisation of AIV strains collected from wild bird faeces and poultry. A custom in-field virus screening and sequencing protocol, including a targeted offline bioinformatic pipeline, was developed to accurately subtype AIV. Due to the lack of optimal diagnostic MinION packages for Australian AIV strains the bioinformatic pipeline was specifically targeted to confidently subtype local strains. The method presented eliminates the transportation of samples, dependence on internet access and delivers critical diagnostic information in a timely manner.

Funding

E.D.V. is supported by an Australian Government Research Training Scholarship provided by the Department of Defence; Defence, Science and Technology Group, Agriculture Victoria and La Trobe University and is also supported by an additional grant (ID: G12017SRodoniLaT459) from the Defence Science Institute.

History

Publication Date

2022-07-13

Journal

Scientific Reports

Volume

12

Article Number

11886

Pagination

15p.

Publisher

Springer Nature

ISSN

2045-2322

Rights Statement

© The Author(s) 2022 This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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