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. 2024 Nov;30(11):2414-2418.
doi: 10.3201/eid3011.241000.

Genomic Epidemiology of Human Respiratory Syncytial Virus, Minnesota, USA, July 2023-February 2024

Daniel Evans, Henry Kunerth, Erica Mumm, Sarah Namugenyi, Matthew Plumb, Sarah Bistodeau, Scott A Cunningham, Bryan Schmitt, Karen Martin, Katherine Como-Sabetti, Ruth Lynfield, Xiong Wang

Genomic Epidemiology of Human Respiratory Syncytial Virus, Minnesota, USA, July 2023-February 2024

Daniel Evans et al. Emerg Infect Dis. 2024 Nov.

Abstract

We recently expanded the viral genomic surveillance program in Minnesota, USA, to include human respiratory syncytial virus. We performed whole-genome sequencing of 575 specimens collected at Minnesota healthcare facilities during July 2023-February 2024. Subgroups A and B differed in their genomic landscapes, and we identified 23 clusters of genetically identical genomes.

Keywords: Minnesota; Respiratory syncytial virus; genomic epidemiology; respiratory infections; viral surveillance; viruses.

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Figures

Figure 1
Figure 1
Midpoint-rooted, time-scaled phylogenetic tree of RSV-A whole-genome sequences, Minnesota, USA, October 2023–January 2024. Tree was generated using Interactive Tree of Life (https://itol.embl.de) software. Column annotations denote (from left to right) month of specimen collection, whole-genome lineage classification, documentation of the infected case in the RSV-NET surveillance database for RSV-associated hospitalizations, and administration of nirsevimab before infection as documented in RSV-NET. Scale bar indicates estimated substitution rate calculated from inputs of time and phylogenetic distance. RSV, respiratory syncytial virus; RSV-NET, Respiratory Syncytial Virus Hospitalization Surveillance Network.
Figure 2
Figure 2
Midpoint-rooted, time-scaled phylogenetic tree of RSV-B whole-genome sequences, Minnesota, USA, October 2023–January 2024. Tree was generated using Interactive Tree of Life (https://itol.embl.de) software. Column annotations denote (from left to right) month of specimen collection, whole-genome lineage classification, documentation of the infected case in the RSV-NET surveillance database for RSV-associated hospitalizations, and the predicted nirsevimab resistance amino acid mutation K68N in the F protein gene sequence. Scale bar indicates estimated substitution rate calculated from inputs of time and phylogenetic distance. RSV, human respiratory syncytial virus; RSV-NET, Respiratory Syncytial Virus Hospitalization Surveillance Network.
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