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Transcriptomic study of Herpes simplex virus type-1 using full-length sequencing techniques.

Zsolt Boldogkői1, Attila Szűcs1, Zsolt Balázs1

  • 1Department of Medical Biology, Faculty of Medicine, University of Szeged, Szeged, 6720, Hungary.

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|November 28, 2018
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Summary

This study presents a comprehensive long-read sequencing dataset for Herpes simplex virus type-1 (HSV-1) to explore its complex transcriptome. The data enables discovery of novel RNAs and comparison of sequencing technologies for viral research.

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Area of Science:

  • Virology
  • Genomics
  • Molecular Biology

Background:

  • Herpes simplex virus type-1 (HSV-1) is a significant human pathogen with a complex transcriptome.
  • Previous understanding of the HSV-1 transcriptome was limited.
  • Advancements in long-read sequencing technologies offer new possibilities for transcriptomic analysis.

Purpose of the Study:

  • To generate and provide a valuable long-read sequencing dataset for the HSV-1 genome.
  • To facilitate the identification of novel HSV-1 RNAs and transcript isoforms.
  • To enable comparative analysis of different long-read sequencing platforms and library preparation methods.

Main Methods:

  • Utilized Pacific Biosciences (PacBio) RSII and Sequel systems for long-read sequencing.
  • Employed the MinION sequencing system from Oxford Nanopore Technologies (ONT).
  • Generated datasets including reads of inserts (ROIs), cDNA sequencing, and direct RNA-seq.

Main Results:

  • Sequencing yielded substantial read counts: 39,096 ROIs (RSII), 77,851 ROIs (Sequel), 158,653 reads (MinION cDNA), and 16,516 reads (direct RNA-seq).
  • The dataset provides a rich resource for exploring the full spectrum of HSV-1 transcripts.
  • Demonstrated the utility of long-read sequencing for comprehensive viral transcriptomic studies.

Conclusions:

  • The generated dataset is a crucial resource for advancing the understanding of HSV-1 biology.
  • This work highlights the potential of long-read sequencing in uncovering complex viral transcriptomes.
  • The data supports comparative studies of sequencing technologies and library preparation strategies for viral RNA analysis.