Respiratory virus genomic epidemiology during post-pandemic re-emergence of influenza in Australia
Authors/Creators
-
Rockett, Rebecca J
(Contact person)1
-
Agius, Jessica E
(Data collector)2
-
Chandra, Shona
(Data collector)2
-
Fong, Winkie
(Data collector)1
-
Aziz, Ammar
(Data collector)3
-
Suster, Carl JE
(Data collector)1
-
Basile, Kerri
(Data collector)4
-
Lam, Connie
(Data collector)2
- Chen, Sharon C-A (Data collector)4
-
Dwyer, Dominic E
(Data collector)1
-
Kok, Jen
(Data collector)4
-
Sullivan, Sheena G
(Data collector)5
-
Barr, Ian G
(Data collector)6
-
Sintchenko, Vitali
(Data collector)7
-
Golubchik, Tanya
(Data curator)1
- 1. Sydney Institute for Infectious Diseases, The University of Sydney, Camperdown, New South Wales 2006, Australia
- 2. Centre for Infectious Diseases and Microbiology – Public Health, Westmead Hospital, Westmead New South Wales 2145, Australia.
- 3. World Health Organization Collaborating Centre for Reference and Research on Influenza at the Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria 3000, Australia.
- 4. Centre for Infectious Diseases and Microbiology Laboratory Services, NSW Health Pathology - Institute of Clinical Pathology and Medical Research, Westmead Hospital, Westmead, New South Wales 2145, Australia.
- 5. Department of Microbiology and Immunology, University of Melbourne, Victoria 3000, Australia
- 6. World Health Organization Collaborating Centre for Reference and Research on Influenza at the Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria 3000, Australia
- 7. Centre for Infectious Diseases and Microbiology – Public Health, Westmead Hospital, Westmead New South Wales 2145, Australia
Description
Simultaneous genomic sequencing of multiple respiratory pathogens from clinical samples can provide real-time data on viral evolution, co-circulation and co-infection during seasonal epidemics. Influenza is a major global respiratory pathogen, with a well-established genomic epidemiology framework, that has yet to be integrated with genomic surveillance of other co-circulating respiratory viruses. Leveraging existing well-integrated community influenza sampling during the first major Australian winter influenza season after the lifting of the COVID-19 pandemic restrictions in 2022, we examined the genomic epidemiology of influenza alongside co-infections of common human respiratory viruses. Using a commercial respiratory viral sequencing method, Respiratory Virus Oligo Panel (RVOP, Illumina), we recovered full-length human influenza A genomes from 75% (117/157) of samples with nucleic acid amplification test-confirmed influenza, as well as 19 genomes of co-infecting viruses from 17 samples, including respiratory syncytial virus (RSV-B), human bocavirus, SARS-CoV-2, human metapneumovirus, and coronaviruses 229E and OC43. The observed incidence of co-infecting viruses (RSV and SARS-CoV-2) was temporally consistent with national epidemic trends. In all co-infections, the viral abundance was predominated by one of the infecting viruses, suggesting either consecutive infections, or within-host dynamics favouring the dominance of one of the infecting viruses. The dominant influenza subtype was A/H3N2, with a minority of A/H1N1 infections persisting throughout the winter season, consistent with national surveillance. We contextualise our representative sample set within the global genomic diversity of A/H3N2 and the ongoing evolution of influenza A/H3N2 in the following Northern Hemisphere 2022/2023 winter. In addition to influenza genomic epidemiology, multi-pathogen methodology enables simultaneous detection and characterisation of co-infecting respiratory pathogens, providing insights into the role of viral dynamics during overlapping epidemics.
Files
Files
(80.9 kB)
| Name | Size | Download all |
|---|---|---|
|
md5:7aabe90d0ae5975fe9ab575d2bfa5711
|
80.9 kB | Download |
Additional details
Related works
- Is described by
- Publication: 10.1101/2025.02.23.25320087 (DOI)
Funding
- National Health and Medical Research Council
- Investigator Grant GNT2018222
- National Health and Medical Research Council
- Investigator Grant GNT2025445