Long-read assays shed new light on the transcriptome complexity of a viral pathogen.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
14 08 2020
Historique:
received: 08 02 2020
accepted: 03 08 2020
entrez: 16 8 2020
pubmed: 17 8 2020
medline: 10 2 2021
Statut: epublish

Résumé

Characterization of global transcriptomes using conventional short-read sequencing is challenging due to the insensitivity of these platforms to transcripts isoforms, multigenic RNA molecules, and transcriptional overlaps. Long-read sequencing (LRS) can overcome these limitations by reading full-length transcripts. Employment of these technologies has led to the redefinition of transcriptional complexities in reported organisms. In this study, we applied LRS platforms from Pacific Biosciences and Oxford Nanopore Technologies to profile the vaccinia virus (VACV) transcriptome. We performed cDNA and direct RNA sequencing analyses and revealed an extremely complex transcriptional landscape of this virus. In particular, VACV genes produce large numbers of transcript isoforms that vary in their start and termination sites. A significant fraction of VACV transcripts start or end within coding regions of neighbouring genes. This study provides new insights into the transcriptomic profile of this viral pathogen.

Identifiants

pubmed: 32796917
doi: 10.1038/s41598-020-70794-5
pii: 10.1038/s41598-020-70794-5
pmc: PMC7427789
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

13822

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Auteurs

Dóra Tombácz (D)

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

István Prazsák (I)

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

Zsolt Csabai (Z)

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

Norbert Moldován (N)

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

Béla Dénes (B)

Veterinary Diagnostic Directorate of the National Food Chain Safety Office, Budapest, 1143, Hungary.

Michael Snyder (M)

Department of Genetics, School of Medicine, Stanford University, Stanford, CA, 94305, USA.

Zsolt Boldogkői (Z)

Department of Medical Biology, Faculty of Medicine, University of Szeged, Szeged, 6720, Hungary. boldogkoi.zsolt@med.u-szeged.hu.

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