Journal
SCIENTIFIC REPORTS
Volume 12, Issue 1, Pages -Publisher
NATURE PORTFOLIO
DOI: 10.1038/s41598-022-16048-y
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Funding
- Australian Government Research Training Scholarship by the Department of Defence
- Agriculture Victoria
- La Trobe University
- Defence Science Institute [G12017SRodoniLaT459]
- Defence, Science and Technology Group
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The outbreaks of avian influenza virus (AIV) from wild waterfowl to poultry industry are a continuous threat, and accurate surveillance of AIV in wild waterfowl is crucial. The current surveillance methods have limitations in terms of processing time and testing locations. This study utilized nanopore sequencing technology to perform in-field sequencing and subtype characterization of AIV strains, providing a reliable diagnostic solution.
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.
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