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Direct RNA sequencing on nanopore arrays redefines the transcriptional complexity of a viral pathogen

Characterizing complex viral transcriptomes by conventional RNA sequencing approaches is complicated by high gene density, overlapping reading frames, and complex splicing patterns. Direct RNA sequencing (direct RNA-seq) using nanopore arrays offers an exciting alternative whereby individual polyade...

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Bibliographic Details
Published in:Nature communications 2019-02, Vol.10 (1), p.754-13, Article 754
Main Authors: Depledge, Daniel P., Srinivas, Kalanghad Puthankalam, Sadaoka, Tomohiko, Bready, Devin, Mori, Yasuko, Placantonakis, Dimitris G., Mohr, Ian, Wilson, Angus C.
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Language:English
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Summary:Characterizing complex viral transcriptomes by conventional RNA sequencing approaches is complicated by high gene density, overlapping reading frames, and complex splicing patterns. Direct RNA sequencing (direct RNA-seq) using nanopore arrays offers an exciting alternative whereby individual polyadenylated RNAs are sequenced directly, without the recoding and amplification biases inherent to other sequencing methodologies. Here we use direct RNA-seq to profile the herpes simplex virus type 1 (HSV-1) transcriptome during productive infection of primary cells. We show how direct RNA-seq data can be used to define transcription initiation and RNA cleavage sites associated with all polyadenylated viral RNAs and demonstrate that low level read-through transcription produces a novel class of chimeric HSV-1 transcripts, including a functional mRNA encoding a fusion of the viral E3 ubiquitin ligase ICP0 and viral membrane glycoprotein L. Thus, direct RNA-seq offers a powerful method to characterize the changing transcriptional landscape of viruses with complex genomes. Here, Depledge et al. use nanopore arrays for direct RNA sequencing to profile the HSV-1 transcriptome in productively infected cells. Sequencing of individual RNAs reveals a highly complex viral transcriptome including mRNAs encoding new viral fusion proteins derived by read-through transcription.
ISSN:2041-1723
2041-1723
DOI:10.1038/s41467-019-08734-9