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A new era in gammaherpesvirus transcriptomics: high-resolution profiling and model development.

Kiran Fida1, Brent A Stanfield1,2

  • 1Department of Pathobiological Sciences, Louisiana State University School of Veterinary Medicine, Baton Rouge, Louisiana, USA.

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Summary

This study presents the first transcriptomic atlas of Caviid gammaherpesvirus 1 (CaGHV-1), revealing complex RNA landscapes and conserved regulatory mechanisms. CaGHV-1 serves as a model for Kaposi's sarcoma-associated herpesvirus (KSHV) research.

Keywords:
CaGHV-1Caviid gammaherpesvirus 1gamma herpesvirusguinea pigsmall animal modeltranscriptomics

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Area of Science:

  • Virology
  • Genomics
  • Molecular Biology

Background:

  • Gammaherpesviruses exhibit complex transcriptional regulation.
  • Understanding viral gene expression is crucial for pathogenesis and therapeutic development.
  • Caviid gammaherpesvirus 1 (CaGHV-1) has not been extensively studied at the transcriptomic level.

Purpose of the Study:

  • To create the first high-resolution, long-read transcriptomic atlas of CaGHV-1.
  • To investigate the transcriptional complexity, including coding and non-coding RNAs.
  • To establish CaGHV-1 as a model for studying Kaposi's sarcoma-associated herpesvirus (KSHV).

Main Methods:

  • Nanopore direct RNA sequencing.
  • Nanopore cDNA sequencing.
  • Mapping of transcription start sites, polyadenylation signals, alternative splicing, and upstream open reading frames (uORFs).

Main Results:

  • Detailed mapping of CaGHV-1 transcription start sites and polyadenylation signals.
  • Identification of pervasive transcriptional overlaps and alternative splicing.
  • Demonstration of conserved regulatory mechanisms, including replication and transcription activator (RTA)-mediated control.

Conclusions:

  • CaGHV-1 exhibits significant transcriptional complexity, with conserved regulatory features.
  • CaGHV-1 is a valuable model for KSHV-related disease research.
  • Further validation and functional studies are needed to characterize non-coding RNAs and address sequencing limitations.