Detection of viral sequences at single-cell resolution identifies novel viruses associated with host gene expression changes

The increasing use of high-throughput sequencing methods in research, agriculture and healthcare provides an opportunity for the cost-effective surveillance of viral diversity and investigation of virus-disease correlation. However, existing methods for identifying viruses in sequencing data rely on and are limited to reference genomes or cannot retain single-cell resolution through cell barcode tracking. We introduce a method that accurately and rapidly detects viral sequences in bulk and single-cell transcriptomics data based on the highly conserved RdRP protein, enabling the detection of over 100,000 RNA virus species. The analysis of viral presence and host gene expression in parallel at single-cell resolution allows for the characterization of host viromes and the identification of viral tropism and host responses. We apply our method to peripheral blood mononuclear cell data from rhesus macaques with Ebola virus disease and describe previously unknown putative viruses. Moreover, we are able to accurately predict viral presence in individual cells based on macaque gene expression.

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Publication Details

Journal
Nature Biotechnology
Published
2025-04-22
DOI
https://doi.org/10.1038/s41587-025-02614-y
Citations
8
Primary Topic
Viral gastroenteritis research and epidemiology
Type
article
Field-Weighted Citation Impact
11.17

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article

Detection of viral sequences at single-cell resolution identifies novel viruses associated with host gene expression changes

Tara Chari, Lior Pachter, Maria Carilli, Laura Luebbert et al.
8 citations
Nature Biotechnology
Viral gastroenteritis research and epidemiology
11.17
article

Detection of viral sequences at single-cell resolution identifies novel viruses associated with host gene expression changes

Tara Chari, Lior Pachter, Maria Carilli, Laura Luebbert, Alexander Viloria Winnett, Kristján Eldjárn Hjörleifsson, Delaney K. Sullivan
article en
8 citations

Abstract

The increasing use of high-throughput sequencing methods in research, agriculture and healthcare provides an opportunity for the cost-effective surveillance of viral diversity and investigation of virus-disease correlation. However, existing methods for identifying viruses in sequencing data rely on and are limited to reference genomes or cannot retain single-cell resolution through cell barcode tracking. We introduce a method that accurately and rapidly detects viral sequences in bulk and single-cell transcriptomics data based on the highly conserved RdRP protein, enabling the detection of over 100,000 RNA virus species. The analysis of viral presence and host gene expression in parallel at single-cell resolution allows for the characterization of host viromes and the identification of viral tropism and host responses. We apply our method to peripheral blood mononuclear cell data from rhesus macaques with Ebola virus disease and describe previously unknown putative viruses. Moreover, we are able to accurately predict viral presence in individual cells based on macaque gene expression.

Nature BiotechnologyVol. 44(1)
Broad Institute (US), California Institute of Technology (US), University of California, Los Angeles (US), Evolutionary Genomics (United States) (US)
Bill and Melinda Gates Foundation, National Institutes of Health, National Institute of General Medical Sciences
Openalex Percentile: Top 1%
Viral gastroenteritis research and epidemiology
11.17
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