Keywords
RSV, Arizona, Genomic Surveillance, Antigenic sites 16
17
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Abstract
18
We conducted Respiratory Syncytial Virus (RSV) genomic sequencing surveillance of 19
100 RSV-A and 27 RSV-B specimens collected between November 2022 and April 2023 in 20
Arizona, USA. We identified mutations in the pre-fusion F protein antigenic sites in both RSV-A 21
and RSV-B. Continued genomic surveillance will be important to ensure RSV vaccine 22
effectiveness. 23
24
Research 25
Respiratory syncytial virus (RSV) is an RNA virus of the Paramyxoviridae family which 26
causes acute respiratory infections primarily in children, adults with severe lung disease, and the 27
elderly (1). The United States experienced an early surge in cases of RSV during the 2022-2023 28
respiratory pathogen season (2). The surge in RSV infections coincided with high circulating 29
levels of influenza and SARS-CoV-2 viral infections, particularly in children (2). In Arizona, 30
USA, laboratory-confirmed RSV cases increased from September 2022 through March 2023 31
with cases peaking in mid-November (Figure 1A). 32
The 2 major subtypes of RSV, RSV-A and RSV-B, have distinct antigenic differences in 33
the P, N, F and G proteins (1). Each subtype is classified into genotypes based on sequence 34
variability in the G protein (3). Based on sequencing data, the global distribution of RSV 35
genotypes in 2022-2023 was split between the GA2.3.5 genotype of RSV-A and the GB5.0.5a 36
genotype of RSV-B (Figure 1B). However, currently approved RSV vaccines are based on 37
prefusion conformation of the F protein. Therefore, RSV genotypes do not reflect circulating 38
RSV strains that harbor F protein mutations which can affect vaccine responses. Thus, genomic 39
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sequencing surveillance is needed to better understand the evolution of the virus and its potential 40
impact on vaccine efficacy. 41
We performed genomic sequencing surveillance of RSV circulating in Arizona, USA, 42
during the 2022-2023 season using remnant RSV-positive nasopharyngeal swabs (N=127) 43
collected as part of standard-of-care respiratory pathogen testing at Valleywise Health (Figure 44
1A), which serves the population of Maricopa County. Next-generation sequencing (Illumina, 2 45
x 150 paired end) was performed using a hybrid-capture method targeted for the RSV genome 46
(Illumina Respiratory Virus Oligo Panel v2). Sequencing reads were quality filtered, adapter 47
trimmed (Trim Galore version 0.6.10), mapped to RSV-A and RSV-B reference sequences 48
(GISAID EPI_ISL_412866 and EPI_ISL_165399) (Burrows-Wheeler Aligner version 0.7.17-49
r1188), and consensus sequences generated (SAMtools version 1.17). We assembled the 50
complete genome sequences of 92 RSV-A (GA2.3.5 genotype) and 24 RSV-B (GB5.0.5a 51
genotype), and partial genome sequences of 8 RSV-A (GA2.3.5) and 3 RSV-B (GB5.0.5a) 52
(GenBank Accessions: OR143134 - OR143250; GISAID Accessions: EPI_ISL_17808760 - 53
EPI_ISL_17808814). To determine RSV viral load, we performed qRT-PCR assays (HRSV-pan) 54
that recognizes both subtypes RSV-A and RSV-B (4). The mean RSV CT value was 29.83 with a 55
standard deviation of 7.44. We found that specimens with viral load CT’s ≤ 33 yielded 99-100% 56
genome coverage (Figure 1C). Whole genome phylogenetic analysis (Nextclade version 2.14.1) 57
showed that the Arizona RSV-A sequences were polyphyletic in the GA2.3.5 clade indicating at 58
least 3 independent introductions of RSV-A into Arizona (Figure 1D). The Arizona RSV-B 59
sequences formed a monophyletic clade in GB5.0.5a indicating a single introduction that seeded 60
local transmission within the state (Figure 1D). Our findings are consistent with investigations 61
of RSV in Massachusetts (5) and Washington (6) that infer that the atypical increase in cases 62
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during the 2022-2023 season was the result of multiple introductions of extant lineages and not 63
attributable to a divergent RSV lineage with increased virulence or transmissibility. 64
To date, two RSV vaccines (Arexvy and Abrysvo) have been FDA approved for 65
individuals 60 years and older in the US. Both vaccines are based on the RSV prefusion F 66
protein with Arexvy being monovalent and Abrysvo bivalent (7, 8). The majority of host 67
antibodies target six antigenic sites of the F protein, characterized as sites Ø-V (9). We examined 68
the F gene sequences of the Arizona RSV genomes and identified 7 non-synonymous 69
substitutions in antigenic sites I, II, IV, and V of RSV-A (Table 1). Similarly, we identified 5 70
non-synonymous substitutions in the antigenic sites Ø, I, II, and V of RSV-B. All mutations in 71
RSV-A genomes were found in low frequency, with no mutations observed in greater than 9% of 72
samples. Conversely, in the RSV-B genomes, most presented with high frequency mutations and 73
only one rare SNP was found. These trends in mutation frequencies were comparable to the 74
frequency in global RSV genome sequences. Finally, we mapped the mutations onto the pre-75
fusion F protein crystal structure (PDB: 7KQD). The structural model overlay revealed that the 76
mutations are exposed on the F protein surface suggesting that they may interfere with antibody 77
binding (Figure 1E). 78
Although RSV remains a significant clinical burden, the recently approved RSV vaccines 79
reduce the risk of lower respiratory tract illness. By tracking the evolution of RSV, we can 80
improve the design of vaccine formulations to improve vaccine effectiveness. A limitation of this 81
study is that we do not yet understand the functional consequences of the mutations identified in 82
the F protein antigenic sites. Nonetheless, our surveillance revealed sequence diversity in the F 83
protein antigenic sites that is not reflected in current genotyping schema, which is based on G 84
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is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. (which was not certified by peer review)
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protein sequences. Overall, this study demonstrates the importance of genomic sequencing 85
surveillance for RSV and other pathogens of interest to clinical and public health. 86
87
Acknowledgements
88
We gratefully acknowledge Sarah Namdarian for assistance with the collection of the clinical 89
specimens, Alexis Thomas, Gabrielle Hernandez Barrera, Michelle Tan for assisting in specimen 90
processing, and Regan Sullins for assisting with library construction. We thank the authors from 91
originating laboratories responsible for obtaining the specimens and the submitting laboratories 92
where genetic sequence data were generated and shared via the GISAID initiative and NCBI 93
GenBank. 94
This study was approved by the Arizona State University Institutional Review Board 95
(STUDY00011967) and was supported in part by Arizona State University, and the Centers for 96
Disease Control and Prevention (CDC BAA 75D30121C11084). 97
Data availability 98
RSV genome sequences have been deposited into the GenBank database under accession 99
numbers OR143134 - OR143250; and the GISAID EpiRSV database under accession numbers 100
EPI_ISL_17808760 - EPI_ISL_17808814. 101
Competing interests 102
The authors declare no competing interests. 103
Contributions 104
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Conceptualization: E.S.L.; Formal analysis: L.A.H., S.C.H., M.F.S., V.R.L.; Investigation: 105
L.A.H., S.C.H., M.F.S., V.R.L., E.S.L.; Resources: V.M., L.N., M.M., R.S., M.W.; Data 106
curation: L.A.H., S.C.H., M.F.S., V.R.L.; Writing-original draft: L.A.H., S.C.H., M.F.S., E.S.L.; 107
Writing-review and editing: L.A.H., S.C.H., M.F.S., L.N., E.S.L.; Supervision: E.S.L.; Funding 108
acquisition: E.S.L. All authors reviewed and approved the final manuscript. 109
110
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139
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140
Figure 1. Genomic sequencing analysis of RSV in Arizona, USA, 2022-2023. (A) The 5-week 141
moving average of PCR confirmed RSV detections in Arizona as reported by the National 142
Respiratory and Enteric Virus Surveillance System (NREVSS) is shown alongside RSV 143
sequence counts by genotype obtained for specimens utilized in this study. (B) The relative 144
abundance of RSV-A and RSV-B genotypes is shown for all RSV genomes deposited in GISAID 145
with collection dates between 1/1/2022 – 5/1/2023 (RSV-A n = 1,047; RSV-B n = 941) 146
including genotypes obtained for specimens utilized in this study (RSV-A n = 100; RSV-B n = 147
27). (C) RSV RT-PCR Ct values and genome coverage for RSV-A (red) and RSV-B (blue) 148
samples. (D) Phylogeny of the RSV-A GA2.3.5 (top) and RSV-B GB5.0.5a clades (bottom). 149
Nodes and colored branches highlight Arizona sequences. (E) Structure of RSV prefusion F 150
protein with surface exposed RSV-A (left) and RSV-B (right) SNPs found in Arizona sequences 151
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labeled and highlighted in bold red. One protomer of each trimer model is colored by antigenic 152
site, two additional protomers shown in white. 153
154
Table 1: Non-synonymous amino acid substitutions in RSV-A and RSV-B F protein antigenic 155
sites found in Arizona genome sequences compared to global genome sequences. 156
RSV-A Mutation
Antigenic
site
Arizona frequency
(n=92) Global frequency (n=952)
I57V Site V 2 (2%) 20 (2%)
I59V Site V 1 (1%) 1 (0%)
S276N Site II 4 (4%) 162 (17%)
V379A Site I 8 (9%) 2 (0%)
L381I Site I 1 (1%) 0 (0%)
P389S Site I 2 (2%) 4 (0%)
K470R Site IV 1 (1%) 0 (0%)
RSV-B Mutation
Antigenic
site
Arizona frequency
(n=24) Global frequency (n=894)
R42K Site I 18 (75%) 95 (11%)
S190N Site V 24 (100%) 555 (77%)
S211N Site Ø 24 (100%) 554 (76%)
E378D Site III 2 (8%) 0 (0%)
S389P Site I 24 (100%) 566 (78%)
157
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