| Literature DB >> 34641882 |
Jianning Wang1, Danielle E Anderson2, Kim Halpin3, Xiao Hong3, Honglei Chen3, Som Walker3, Stacey Valdeter3, Brenda van der Heide3, Matthew J Neave3, John Bingham3, Dwane O'Brien3, Debbie Eagles3, Lin-Fa Wang2,4, David T Williams3.
Abstract
BACKGROUND: Hendra virus (HeV) has caused lethal disease outbreaks in humans and horses in Australia. Flying foxes are the wildlife reservoir from which the virus was first isolated in 1996. Following a heat stress mortality event in Australian flying foxes in 2013, a novel HeV variant was discovered. This study describes the subsequent surveillance of Australian flying foxes for this novel virus over a nine year period using qRT-PCR testing of tissues from flying foxes submitted primarily for Australian bat lyssavirus diagnosis. Genome sequencing and characterisation of the novel HeV variant was also undertaken.Entities:
Keywords: Flying fox; Fruit bat; HeV genotype 2; Hendra virus; Henipavirus; Next-generation sequencing; Zoonosis
Mesh:
Year: 2021 PMID: 34641882 PMCID: PMC8510678 DOI: 10.1186/s12985-021-01652-7
Source DB: PubMed Journal: Virol J ISSN: 1743-422X Impact factor: 4.099
Primers and probes for qRT-PCR and conventional PCR
| HeV-g2 M gene | |
| Forward primer | HeV-g2-M-F: 5’-CTGATCTACGTTACGGCAAACCTT-3’ |
| Reverse primer | HeV-g2-M-R: 5’-GGCCCGCTTCACCATCTCTTAC-3’ |
| Probe | HeV-g2-M-P: 5’-FAM-CAGCATTGAATATTGACCCGCCAGTCA-BHQ1-3’ |
| HeV-g2 N gene | |
| Forward primer | HeV-g2-N-F: 5’-TGCGACAGATCCCAGTAGTATTAAAT-3’ |
| Reverse primer | HeV-g2-N-R: 5’-GGCAGCTTATTCGGCAAAAG-3’ |
| Probe | HeV-g2-N-P: 5’-FAM-CTCTGGTGACGGAACACAAATGCAAATTTC-BHQ1-3’ |
Comparison of three qRT-PCR assays for the detection of HeV-g2, HeV N assay, HeV-g2 M assay and HeV-g2 N assay using bat samples from 2013 to 2021; values shown are Ct values
| Sample ID-sample type | HeV N assay | HeV-g2 M assay | HeV-g2 N assay |
|---|---|---|---|
| 31.3 | 28.8 | NT** | |
| 40.9 | 33.4 | NT | |
| 2015–01-spleen | Negative | 38.4 | Negative |
| 2019–01-kidney | Negative | Negative | Negative |
| 2019–01-spleen | Negative | 34.2 | NT |
| 2019–02-kidney | Negative | Negative | Negative |
| Negative | 29.6 | 31.8 | |
| 43.2 | 30.6 | 28.3 | |
| 34.8 | 30.6 | 32.3 | |
| Neg | 34.9 | 35.5 | |
| 34.4 | 23.1 | 23.0 | |
| 37.1 | 27.4 | 26.6 | |
| Negative | Negative | Negative | |
| 2021–01-kidney | Negative | Neg | 41.8 |
| 2021–01-spleen | Negative | 33.2 | 40.3 |
| 2021–02-kidney | Negative | Negative | Negative |
| Negative | 37.0 | 41.3 | |
| 2021–03-kidney | Negative | Negative | Negative |
| 2021–03-spleen | Negative | 36.9 | 40.2 |
| 39.0 | 31.1 | 31.4 | |
| 2021–04-spleen | Negative | Negative | 36.8 |
*Virus isolation was attempted for samples in bold
**NT not tested
#NGS was conducted on these samples
Fig. 1Heart tissue from the grey headed flying fox from South Australia in 2013, showing mononuclear cell inflammation of an artery (a, haematoxylin and eosin stain). The walls of this artery (b) and a nearby small blood vessel (c) contained viral antigen (IHC for henipavirus nucleoprotein)
Details of 98 flying foxes tested for HeV-g2 including species, state, year of collection and HeV-g2 results
| Species | No. tested | No. positive | State of origin (No.) | Year of collection (No.) |
|---|---|---|---|---|
| Grey-headed flying fox | 81 | 10 | Victoria (71), South Australia (7), NSW (3) | 2013 (1), 2014 (11), 2015 (2), 2017 (5), 2018 (9), 2019 (21), 2020 (16), 2021 (16) |
| Little red flying fox | 3 | 1 | Western Australia (3) | 2015 (1), 2016 (1), 2017 (1) |
| Black flying fox | 3 | 0 | Western Australia (3) | 2014 (1), 2016 (1), 2019 (1) |
| Unspecified flying fox | 11 | 0 | Western Australia (2), Queensland (3), Victoria (6) | 2014 (1), 2017 (1), 2018 (1), 2019 (7), 2020 (1) |
| Total | 98 | 11 |
More details on the flying foxes tested in this study can be found in Additional file 1: Table S3
Details of HeV-g2 positive flying foxes including year and month of collection, species, location, results and cause of death
| Year-Sample ID; month | Species | Location | Result spleen | Result kidney | Results confirmed by sequencing? | Cause of death |
|---|---|---|---|---|---|---|
2013–01 Jan | GHFF | Adelaide, South Australia | Positive | Positive | Yes | Suspect heat stress event |
2015–01 Dec | LRFF | Broome, Western Australia | Positive | Negative | No | Dog attack |
2019–01 Feb | GHFF | Melbourne, Victoria | Positive | Negative | Yes | Caught in fruit netting |
2019–02 Mar | GHFF | Melbourne, Victoria | Positive | Negative | Yes | Caught in fruit Netting |
2020–01 Jan | GHFF | Melbourne, Victoria | Positive | Positive | Yes | no history supplied |
2020–02 Jan | GHFF | Melbourne,Victoria | Positive | Positive | Yes | Unspecified trauma |
2020–03 Jan | GHFF | Melbourne, Victoria | Negative | Positive | Yes | Suspect dog attack |
2021–01 Feb | GHFF | Melbourne, Victoria | Positive | Negative | No | Fractured wing |
2021–02 Feb | GHFF | Adelaide, South Australia | Positive | Negative | Yes | Dog attack |
2021–03 Mar | GHFF | Adelaide, South Australia | Positive | Negative | No | Dog attack |
2021–04 Mar | GHFF | Melbourne, Victoria | Negative | Positive | Yes | ABLV* |
GHFF grey-headed flying fox, LRFF little red flying fox
*This bat presented with clinical signs consistent with ABLV infection and tested positive to ABLV byqRT-PCR and FAT
Fig. 2Map of Australia showing the locations of the HeV-g2 positive flying foxes collected between 2013 and 2021: one LRFF was from Broome, three GHFF were from Adelaide and 7 GHFF were from Melbourne. More details on each flying fox can be found in Table 3 and Additional file 1: Table S3
Comparison of qRT-PCR assays for the detection of HeV isolates belonging to the prototype (g1) lineage
| Year and Sample ID | HeV-N assay | HeV-g2-M assay | HeV-g2-N assay |
|---|---|---|---|
| 2010–01 | 30.8 | 29.9 | Negative |
| 2015–01 | 22.7 | 23.4 | Negative |
| 2015–02 | 21.9 | 24.8 | Negative |
| 2011–01 | 19.2 | 22.3 | Negative |
| 2011–02 | 20.3 | 22.4 | Negative |
| 2011–03 | 20.6 | 23.3 | Negative |
| 2011–04 | 19.4 | 18.9 | Negative |
| 2011–05 | 20.7 | 23.1 | Negative |
| 2011–06 | 30.8 | 32.4 | Negative |
Comparison of sequences of HeV-g2 with other henipaviruses (figures are % similarity)
| Virus | Nucleocapsid (N) | Phosphatase (P) | Matrix (M) | Fusion (F) | Glycoprotein (G) | Polymerase (L) | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| nt2 | aa3 | nt | aa | nt | aa | nt | aa | nt | aa | nt | aa | |
| HeV (g1)1 | 87 | 96 | 83 | 82 | 88 | 96 | 87 | 95 | 85 | 92 | 87 | 95 |
| NiV-M | 77 | 91 | 70 | 64 | 77 | 90 | 75 | 87 | 71 | 79 | 75 | 87 |
| NiV-B | 77 | 91 | 71 | 64 | 77 | 90 | 74 | 86 | 71 | 79 | 75 | 87 |
| CedV | 62 | 60 | 53 | 27 | 62 | 61 | 54 | 42 | 54 | 30 | 58 | 52 |
| GhV | 60 | 56 | 54 | 28 | 62 | 62 | 57 | 52 | 54 | 29 | 59 | 53 |
| MojV | 56 | 48 | 53 | 21 | 61 | 60 | 53 | 40 | 51 | 21 | 58 | 52 |
1HeV: Hendra virus (AF017149); NiV-M: Nipah virus Malaysian strain (AJ627196); NiV-B, Nipah virus Bangladesh strain (AY988601)); CedV: Cedar virus (NC_025351), GhV: Ghana virus (HQ660129); MojV: Mojiang virus (NC_025352)
2nucleotide sequence identities (%) against cognate nucleotides of HeV-g2 virus
3amino acid sequence identities (%) against cognate proteins of HeV-g2 virus
Comparison of nucleotide and amino acid sequence variations of HeV-g2 viruses when compared to the consensus sequence for HeV-g2
| Virus | Full genome | Open reading frame length (nt) | |||||
|---|---|---|---|---|---|---|---|
| N | P | M | F | G | L | ||
| HeV/Australia/ | 5* (0.02%)# | 1 0 | 1 0 | 0 0 | 1 0 | 1 1 | 0 0 |
| HeV/Australia/ | 75 (0.4%) | 7 0 | 9 3 | 4 0 | 11 1 | 6 2 | 24 7 |
| HeV/Australia/ | 5 (0.03%) | 1 0 | 1 0 | 0 0 | 0 0 | 0 0 | 3 0 |
*Total number of nt and aa changes across the full genome, including NCRs
#Percentage variation across the full genome, including NCRs, compared to consensus sequence
Fig. 3Maximum likelihood phylogenetic tree of complete Hendra virus genomes available in GenBank. The TN model with gamma rate heterogeneity was used as the best fit by IQ-TREE v.2.0.6. The results from 1000 bootstrap replicates are given on the nodes (if greater than 70) and the scale represents the number of nucleotide substitutions per site. The tree was drawn with Nipah virus outgroups which were removed for visualisation
Fig. 4Maximum likelihood phylogenetic tree of N gene nucleotide sequences. The TIM2 model allowing for a proportion of invariant sites was used as the best fit by IQ-TREE v.2.0.6. The results from 1000 bootstrap replicates are given on the nodes (if greater than 70) and the scale represents the number of nucleotide substitutions per site. The tree was drawn with Nipah virus outgroups which were removed for visualisation
Fig. 5Maximum likelihood phylogenetic tree of L gene amino acid sequences. The tree was created using the JTT substitution model in IQ-Tree v.2.0.6 as per ICTV guidelines for the family Paramyxoviridae (Rima et al., 2019). The results from 100 bootstrap replicates are given on the nodes (if greater than 70) and the scale represents the number of substitutions per site. The zoomed inset has lengths written on the branches specifically showing the distance between HeV-g1 and HeV-g2